A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains
Open accessAbstract
Summary Alternative splicing (AS) generates vast transcriptomic and proteomic complexity. However, which of the myriad of detected AS events provide important biological functions is not well understood. Here, we define the largest program of functionally coordinated, neural-regulated AS described to date in mammals. Relative to all other types of AS within this program, 3-15 nucleotide ‘microexons’ display the most striking evolutionary conservation and switch-like regulation. These microexons modulate the function of interaction domains of proteins involved in neurogenesis. Most neural microexons are regulated by the neuronal-specific splicing factor nSR100/SRRM4, through its binding to adjacent intronic enhancer motifs. Neural microexons are frequently misregulated in the brains of individuals with autism spectrum disorder, and this misregulation is associated with reduced levels of nSR100. The results thus reveal a highly conserved program of dynamic microexon regulation associated with the remodeling of protein interaction networks during neurogenesis, the misregulation of which is linked to autism.
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TL;DR
This paper defines a large neural-regulated alternative splicing program in mammals, showing that 3–27 nucleotide microexons are exceptionally conserved, dynamically regulated during neuronal differentiation, and often controlled by nSR100/SRRM4. It further reports that microexons are frequently misregulated in autistic brains and that this misregulation correlates with reduced nSR100 expression.
Key findings
- Across human and mouse cell/tissue datasets, the authors identified about 2,500 neural-regulated AS events per species; microexons showed stronger neural-specific inclusion than longer exons (60.7% of microexons with ΔPSI>15 versus 9.5% of longer exons).
- Of 308 human neural-regulated microexons, 225 (73.5%) were also neural-differentially spliced in mouse, compared with 527 of 1,390 (37.9%) longer neural-regulated exons; many microexons were deeply conserved across vertebrates.
- During mouse ES-cell-to-cortical-neuron differentiation, 151 of 219 profiled neural-regulated microexons (69%) showed a PSI switch ≥50, and 65 (30%) showed a switch ≥90; nSR100 knockdown/overexpression affected more than half of profiled microexons.
- In ASD post-mortem superior temporal gyrus samples, 126 of 504 detected microexons (30%) had mean ΔPSI>10 between ASD and control, versus 825 of 15,405 longer exons (5.4%); nSR100 mRNA was downregulated on average by about 10% in ASD samples (p=0.014).
Methods
- The authors developed an RNA-Seq analysis pipeline to detect all AS classes, including microexons, and applied it to deep datasets from more than 50 human and mouse cell/tissue types, developmental stages, and several vertebrate species.
- They analyzed microexon regulation across six time points of mouse embryonic stem cell differentiation into cortical glutamatergic neurons, and used knockdown/overexpression plus PAR-iCLIP data to test nSR100/SRRM4 regulation.
- Protein interaction effects were tested with LUMIER assays and co-immunoprecipitation-western blotting for Apbb1 and AP1S2 microexons; ASD analyses used 24 autistic individuals and 24 matched controls, with 12 ASD samples showing the strongest ASD-associated expression signature and 12 controls selected for downstream comparisons.
Limitations
- The paper does not state a dedicated limitations section.
- Evident from the text: the ASD splicing analysis focused on a selected subset of 12 ASD and 12 control samples stratified by a pre-existing ASD gene-expression signature, so findings may not generalize to all autistic individuals.
- Evident from the text: the link between reduced nSR100 and microexon misregulation in ASD is correlational, and the authors do not establish causation; microexon detection also depends on a specialized pipeline and sufficient RNA-Seq read coverage.
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- Findingown data
The authors' analysis defines the largest known program of functionally coordinated, neural-regulated alternative splicing in mammals.
“Here, we define the largest program of functionally coordinated, neural-regulated AS described to date in mammals.”
- Also stated in: § Global features of neural-regulated AS · plain
“These data reveal the largest program of neural-regulated AS events defined to date, and that this program is associated with a broader range of functional processes and pathways linked to nervous system biology than previously detected (Boutz et al., 2007; Fagnani et al., 2007; Ule et al., 2005).”
Quote in the paperSubstantial claim - Also stated in: § Global features of neural-regulated AS · plain
- Findingown data
There is a striking inverse relationship between the length of an alternative exon and its propensity to be specifically included in neural tissues.
“Further analysis of the neural-regulated AS program revealed a striking inverse relationship between the length of an alternative exon and its propensity to be specifically included in neural tissues.”
Quote in the paperSubstantial claim - Findingown data
Nearly half of neural-regulated alternative splicing events, including alternative retained introns, are predicted to generate protein isoforms both when the alternative sequence is included and skipped.
“Nearly half of the neural-regulated AS events, including alternative retained introns, are predicted to generate protein isoforms both when the alternative sequence is included and skipped.”
Quote in the paperNot a substantial claim - Findingown data
Only about 20% of non-neural alternative splicing events have the potential to generate alternative protein isoforms.
“In contrast, only ∼20% of AS events not subject to neural regulation (hereafter ‘non-neural’ events) have the potential to generate alternative protein isoforms (Figure 1B; p=2.7×10-248, proportion test).”
Quote in the paperSubstantial claim - Findingown data
The analysis identified approximately 2,500 neural-regulated alternative splicing events in each of human and mouse.
“By applying this pipeline to more than 50 diverse cell and tissue types each from human and mouse (Table S1), we identified ∼2,500 neural-regulated AS events in each species (Figure 1A and Table S2; Extended Experimental Procedures).”
Quote in the paperSubstantial claim
- Findingown data
The inverse relationship between exon length and neural inclusion extends to microexons as short as 3 nucleotides.
“This trend extends to microexons as short as 3 nt.”
Quote in the paperNot a substantial claim - Findingown data
Genes with neural-regulated alternative splicing events predicted to generate alternative protein isoforms form highly interconnected networks based on functions associated with neuronal biology, signaling pathways, structural components of the cytoskeleton and the plasma membrane.
“Gene Ontology (GO) analysis shows that genes with neural-regulated AS events predicted to generate alternative protein isoforms form highly interconnected networks based on functions associated with neuronal biology, signaling pathways, structural components of the cytoskeleton and the plasma membrane (Figure 1C).”
Quote in the paperNot a substantial claim - Findingown data
Neural microexons are frequently misregulated in the brains of individuals with autism spectrum disorder.
“Neural microexons are frequently misregulated in the brains of individuals with autism spectrum disorder, and this misregulation is associated with reduced levels of nSR100.”
- Also stated in: § Microexons are misregulated in individuals with Autism Spectrum Disorder · plain
“These data reveal frequent misregulation of microexon splicing in the brain cortices of some individuals with ASD.”
Quote in the paperSubstantial claim - Also stated in: § Microexons are misregulated in individuals with Autism Spectrum Disorder · plain
- Findingown data
Relative to longer alternative exons, microexons, especially those 3-15 nucleotides long and neural-specifically included, are strongly enriched in multiple features indicative of functionally important alternative splicing.
“Relative to longer alternative exons, microexons, in particular those that are 3-15-nt long and neural-specifically included, are strongly enriched in multiple features indicative of functionally important AS.”
Quote in the paperSubstantial claim - Findingown data
The vast majority (>90%) of neural-regulated microexons display highest PSIs in neurons compared to all other cell and tissue types analyzed.
“the vast majority (>90%) of neural-regulated microexons display highest PSIs in neurons compared to all other cell and tissue types analyzed (Figure S2B-D, and Supplemental Information).”
Quote in the paperSubstantial claim - Findingown data
The misregulation of neural microexons in autism spectrum disorder brains is associated with reduced levels of nSR100.
“and this misregulation is associated with reduced levels of nSR100.”
- Also stated in: § Introduction · plain
“this misregulation is linked to the reduced expression of the neural-specific Ser/Arg-related splicing factor of 100kDa, nSR100/SRRM4.”
Quote in the paperSubstantial claim - Also stated in: § Introduction · plain
- Findingown data
Most neural microexons are regulated by the neuronal-specific splicing factor nSR100/SRRM4 through its binding to adjacent intronic enhancer motifs.
“Most neural microexons are regulated by the neuronal-specific splicing factor nSR100/SRRM4, through its binding to adjacent intronic enhancer motifs.”
- Also stated in: § The neural-specific splicing factor nSR100/SRRM4 regulates most neural microexons · boosted
“nSR100 thus has a direct and extensive role in the regulation of the neural microexon program.”
Quote in the paperSubstantial claim - Also stated in: § The neural-specific splicing factor nSR100/SRRM4 regulates most neural microexons · boosted
- Findingown data
When not overlapping protein domains, microexons are significantly more often located immediately adjacent (within 5 amino acids) to folded protein domains.
“Moreover, when not overlapping protein domains, microexons are significantly more often located immediately adjacent (i.e. within 5 amino acids) to folded protein domains (Figures 5E and S5J,K).”
Quote in the paperSubstantial claim - Findingown data
Neural-regulated microexons are associated with weak 3′ splice sites and strong 5′ splice sites.
“Relative to longer exons, we additionally observe that neural-regulated microexons are associated with weak 3′ splice sites and strong 5′ splice sites (Figure S4J).”
Quote in the paperNot a substantial claim - Findingown data
Neural-regulated microexons are significantly enriched in domains that function in peptide and lipid-binding interactions.
“Neural-regulated microexons are significantly enriched in domains that function in peptide and lipid-binding interactions (Figures 5F and S5L; p = 1.7×10-6, proportion test).”
Quote in the paperSubstantial claim - Findingown data
Microexons are highly enriched for lengths that are multiples of three nucleotides.
“They are highly enriched for lengths that are multiples of three nts (Figure 2B), and a significantly larger fraction are predicted to generate alternative protein isoforms upon inclusion and exclusion, compared with longer exons (Figure 2C; p<10-10, proportion test).”
Quote in the paperSubstantial claim - Findingown data
Sequences overlapping microexons, including both upstream and downstream flanking intronic regions, are more highly conserved than sequences surrounding longer alternative exons.
“Consistent with their striking regulatory conservation, sequences overlapping microexons, including both the upstream and downstream flanking intronic regions, are more highly conserved than sequences surrounding longer alternative exons (Figure 2F, S2G), including longer exons with a similar distribution of neural versus non-neural ΔPSI values (Figure S2H,I; data not shown).”
Quote in the paperSubstantial claim - Findingown data
Within the selected ASD and control samples, 126 of 504 (30%) detected alternative microexons display a mean ΔPSI > 10 between ASD and control subjects.
“Remarkably, within these samples, 126 of 504 (30%) detected alternative microexons display a mean ΔPSI > 10 between ASD and control subjects (Figure 7A), of which 113 (90%) also display neural-differential regulation.”
Quote in the paperSubstantial claim - Findingown data
The Apbb1 microexon adds two charged residues (Arg and Glu) to the PTB1 domain near its predicted interaction surface.
“Exemplifying the distinct protein features of neural microexons described above (Figure 5), the Apbb1 microexon adds two charged residues (Arg and Glu) to the PTB1 domain near its predicted interaction surface (Figures 6A,B; Extended Experimental Procedures).”
Quote in the paperNot a substantial claim - Findingown data
Only 26.9% (32/119) of genes containing misregulated microexons overlapped with the 2,519 genes with significant ASD-associated misregulation at the level of gene expression.
“However, only 26.9% (32/119) of the genes containing misregulated microexons overlapped with the 2,519 genes with significant ASD-associated misregulation at the level of gene expression.”
Quote in the paperSubstantial claim - Findingown data
Similar results were observed when analyzing data from a different brain region (Brodmann area ba9) from the same individuals.
“Similar results were observed when analyzing data from a different brain region (Brodmann area ba9) from the same individuals (data not shown).”
Quote in the paperNot a substantial claim - Findingown data
Most microexons show sharp PSI switches at late (T3 to T5) transitions during differentiation.
“Most microexons show sharp PSI switches at late (T3 to T5) transitions during differentiation.”
Quote in the paperSubstantial claim - Findingown data
The vast majority (81.3%) of microexons displaying coincident misregulation have a ΔPSI>10 in at least half of the ASD stratified brain samples.
“Analysis of the proportions of microexons displaying coincident misregulation revealed that the vast majority (81.3%) have a ΔPSI>10 in at least half of the ASD stratified brain samples (Figure S7C).”
Quote in the paperSubstantial claim - Findingown data
Significant enrichment for misregulation among microexons compared to longer exons was also observed when restricting the analysis to neural-regulated exons, including subsets of neural-regulated microexons and longer exons with similar distributions of neural versus non-neural ΔPSI values.
“Significant enrichment for misregulation among microexons compared to longer exons was also observed when restricting the analysis to neural-regulated exons, including subsets of neural-regulated microexons and longer exons with similar distributions of neural versus non-neural ΔPSI values (Figure S7A; p<2×10-4, proportion test; data not shown).”
Quote in the paperSubstantial claim - Findingown data
Of the 825 misregulated longer exons, 285 (35%) correspond to neural-regulated exons.
“of which 285 (35%) correspond to neural-regulated exons.”
Quote in the paperSubstantial claim - Findingown data
The microexon in AP1S2 strongly promotes its interaction with another AP1 subunit, AP1B1.
“Co-immunoprecipitation-western analyses reveal that the microexon in AP1S2 strongly promotes its interaction with another AP1 subunit, AP1B1 (Figure 6E and S6D).”
Quote in the paperSubstantial claim - Findingown data
Only 825 of 15,405 (5.4%) longer (i.e. >27 nt) exons show such misregulation.
“By contrast, only 825 of 15,405 (5.4%) longer (i.e. >27 nt) exons show such misregulation (Figure 7A), of which 285 (35%) correspond to neural-regulated exons.”
Quote in the paperSubstantial claim - Findingown data
Unsupervised hierarchical clustering of PSI changes between consecutive time points revealed several temporally distinct regulatory patterns.
“Unsupervised hierarchical clustering of PSI changes between consecutive time points (transitions T1 to T5) revealed several temporally-distinct regulatory patterns (Figure 3A).”
Quote in the paperNot a substantial claim - Findingown data
A significantly higher fraction of neural-regulated microexons overlap modular protein domains.
“whereas a significantly higher fraction overlap modular protein domains (Figures 5B and S5E; ∼2-fold increase, p=1.0×10-54, proportion test).”
Quote in the paperSubstantial claim - Findingown data
A significantly smaller fraction of neural-regulated microexons overlap predicted disordered amino acid residues.
“A significantly smaller fraction overlap predicted disordered amino acid residues (Figures 5A and S5A-D; p < 1.3×10-4; 3-way Fisher Exact tests), whereas a significantly higher fraction overlap modular protein domains (Figures 5B and S5E; ∼2-fold increase, p=1.0×10-54, proportion test).”
Quote in the paperSubstantial claim - Findingown data
RNA sequence tags cross-linked to nSR100 in vivo are highly enriched in intronic sequences containing UGC motifs, located adjacent to the 3′ splice sites of nSR100-regulated microexons.
“Consistent with these results, and supporting a direct role for nSR100 in microexon regulation, RNA sequence tags cross-linked to nSR100 in vivo are also highly enriched in intronic sequences containing UGC motifs, located adjacent to the 3′ splice sites of nSR100-regulated microexons (Figure 4B, C; p<0.0001 for all comparisons, Wilcoxon Rank Sum test).”
Quote in the paperSubstantial claim - Findingown data
Of about 150 analyzed mammalian, neural-regulated, 3-15-nucleotide microexons, at least 55 are deeply conserved in vertebrate species spanning 400-450 million years of evolution, from zebrafish and/or shark to human.
“Moreover, of ∼150 analyzed mammalian, neural-regulated, 3-15-nt microexons, at least 55 are deeply conserved in vertebrate species spanning 400-450 million years of evolution, from zebrafish and/or shark to human (Table S3).”
Quote in the paperSubstantial claim - Findingown data
Of the 126 misregulated microexons, 113 (90%) also display neural-differential regulation.
“of which 113 (90%) also display neural-differential regulation.”
Quote in the paperSubstantial claim - Findingown data
Unlike longer neural exons, microexons are depleted of linear binding motifs.
“Conversely, unlike longer neural exons (Buljan et al., 2012; Ellis et al., 2012), they are depleted of linear binding motifs (Figure 5G and S5N, p<0.005, proportion tests for all comparisons).”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingown data
Genes with microexons are highly enriched in modular domains involved in cellular signaling, such as SH3 and PH domains.
“Overall, genes with microexons are highly enriched in modular domains involved in cellular signaling, such as SH3 and PH domains (Figure S5M).”
Quote in the paperSubstantial claim - Findingown data
Neural-regulated microexons, in particular those that are 3-15 nucleotides long, possess multiple properties that distinguish them from longer neural-regulated exons.
“Neural-regulated microexons, in particular those that are 3-15-nt long, possess multiple properties that distinguish them from longer neural-regulated exons (Figures 5 and S5).”
Quote in the paperSubstantial claim - Findingcitation
nSR100 has the strongest neuronal-specific expression relative to the other splicing regulators.
“Moreover, an analysis of RNA-Seq data from different neural cell types (Zhang et al., 2014) revealed that nSR100 has the strongest neuronal-specific expression relative to the other splicing regulators (Figure S4I, and data not shown), which is also consistent with its immunohistochemical detection in neurons but not glia (Calarco et al., 2009).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Findingown data
A significantly larger fraction of microexons are predicted to generate alternative protein isoforms upon inclusion and exclusion compared with longer exons.
“a significantly larger fraction are predicted to generate alternative protein isoforms upon inclusion and exclusion, compared with longer exons (Figure 2C; p<10-10, proportion test).”
Quote in the paperSubstantial claim - Findingown data
Neural microexons are significantly enriched in surface-accessible, charged amino acids that overlap or lie near protein domains, including linear motif-binding domains, unlike longer neural-regulated exons.
“neural microexons are significantly enriched in surface-accessible, charged amino acids that overlap or lie in close proximity to protein domains, including those that bind linear motifs”
Quote in the paperSubstantial claim - Findingnone given
The microexon in AP1S2 strongly promotes interaction with the AP1B1 subunit of the AP1 intracellular transport complex.
“including the microexon in AP1S2 that strongly promotes an interaction with the AP1B1 subunit of the AP1 intracellular transport complex”
Quote in the paperNot a substantial claim - Findingown data
nSR100 controls the switch-like regulation of most neural microexons.
“it controls the switch-like regulation of most neural microexons”
Quote in the paperSubstantial claim- Rests on an assumption: nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
- Findingown data
Genes with ASD-associated microexon misregulation are significantly enriched for GO terms related to axonogenesis and synapse biology.
“A GO analysis of genes with ASD-associated misregulation of microexons reveals significant enrichment of terms related to axonogenesis and synapse biology (Figure 7E)”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Findingown data
Reduced nSR100 expression is linked to altered splicing of microexons in ASD brains.
“its reduced expression is linked to the altered splicing of microexons in the brains of subjects with ASD”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Rests on an assumption: nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
- Findingown data
A 6 nt neural microexon in Apbb1/Fe65 promotes interaction with Kat5/Tip60.
“we show that a 6 nt neural microexon in Apbb1/Fe65 promotes an interaction with Kat5/Tip60”
Quote in the paperSubstantial claim - Findingown data
Across stratified ASD samples and controls, microexon inclusion correlates more strongly with nSR100 mRNA expression for nSR100-regulated microexons than for microexons not regulated by nSR100.
“we also observe significantly higher correlations between microexon inclusion and nSR100 mRNA expression levels across the stratified ASD samples and controls, for those microexons regulated by nSR100 relative to those microexons that are not regulated by this factor (Figure 7D; p=1.4×10-7, Wilcoxon Sum Rank test)”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Rests on an assumption: nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
- Findingown data
Misregulated microexons are significantly enriched in genes genetically linked to ASD (p<0.0005).
“misregulated microexons are also significantly enriched in genes that have been genetically linked to ASD (p < 0.0005, Fisher exact test)”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Findingown data
The microexons analyzed in APBB1 and AP1S2 are significantly misregulated in ASD brain samples (p<0.05).
“the microexons we have analyzed in APBB1 and AP1S2 are significantly misregulated in the brain samples from ASD subjects (p<0.05 Wilcoxon Sum Rank test; Figure S7E)”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Findingown data
A comparison of autistic subjects that possessed a weaker ASD-related differential gene expression signature did not reveal significant misregulation of microexons, or of longer exons.
“In contrast, a comparison of autistic subjects that possessed a weaker ASD-related differential gene expression signature did not reveal significant misregulation of microexons, or of longer exons (data not shown).”
Quote in the paperNot a substantial claim - Findingown data
Several other genes containing microexons are genetically linked to ASD, intellectual disability, and/or functions in memory and learning.
“several other genes containing microexons are genetically linked to ASD, intellectual disability and/or functions in memory and learning (see Results)”
Quote in the paperNot a substantial claim- Rests on an assumption: Several genes with misregulated microexons have been linked to learning or intellectual disability.
- Findingown data
nSR100-dependent microexons are misregulated significantly more often in ASD brain tissues than in control tissues, compared with other exons.
“relative to other exons, nSR100-dependent microexons are significantly more often misregulated in brain tissues from ASD compared to control subjects (Figure 7C; p<0.01 for all comparisons, proportion test)”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Rests on an assumption: nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
- Findingown data
The microexon in APBB1 is significantly misregulated in ASD brain tissues.
“the microexon in APBB1 is also significantly misregulated in brain tissues from ASD subjects (Figure S7B,E)”
Quote in the paperNot a substantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Findingown data
The reduction in nSR100 mRNA is larger in ASD brain samples with the strongest ASD-associated signature than in controls, by about 10% (p=0.014, FDR<0.1).
“and to an even greater extent in brain samples with the strongest ASD-associated signature compared to the controls (∼10%, p=0.014, FDR<0.1, Figure 7B and data not shown)”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Rests on an assumption: nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
- Findingown data
In the analyzed ASD brains, nSR100 mRNA expression is on average significantly lower than in control brains.
“nSR100 mRNA expression is, on average, significantly downregulated in the brains of the analyzed ASD versus control subjects”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Rests on an assumption: nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
- Findingown data
Many conserved, neural-regulated microexons identified in this study are misregulated in ASD individuals.
“Many of the conserved, neural-regulated microexons identified in this study are misregulated in ASD individuals”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- Findingcitation
Most microexons show high inclusion at late stages of neuronal differentiation in genes associated with axonogenesis and synapse formation and function.
“Most microexons display high inclusion at late stages of neuronal differentiation in genes (e.g. Src (Black, 1991), Bin1, Agrn, Dock9, Shank2, Robo1) associated with axonogenesis and the formation and function of synapses.”
Quote in the paperSubstantial claim - Interpretationcitation
A widespread role for regulated exons is to specify cell- and tissue-type-specific protein interaction networks.
“These observations suggested that a widespread role for regulated exons is to specify cell and tissue type-specific protein interaction networks.”
Quote in the paperSubstantial claim - Interpretationown data
Neural microexons modulate the function of interaction domains of proteins involved in neurogenesis.
“These microexons modulate the function of interaction domains of proteins involved in neurogenesis.”
- Also stated in: § Distinct protein regulatory properties of microexons · hedged
“These results suggest that a common function of microexons may be to modulate the activity of overlapping or adjacent protein domains.”
Quote in the paperSubstantial claim - Also stated in: § Distinct protein regulatory properties of microexons · hedged
- Premisecitation
Alignment tools developed to capture microexons have not been applied to the analysis of different cell and tissue types or disease states.
“Furthermore, where alignment tools have been developed to capture microexons (Wu et al., 2013), they have not been applied to the analysis of different cell and tissue types, or disease states.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wu et al., 2013
Not checked in the free run.
- Interpretationown data
Tissue-regulated microexons are predominately neuronal-specific.
“These results indicate that tissue-regulated microexons are predominately neuronal-specific.”
Quote in the paperSubstantial claim - Study design and conductown data
RT-PCR validation confirmed the RNA-Seq-detected regulatory profiles and inclusion levels of all 10 analyzed microexons across ten diverse tissues (R2=0.92, n=107).
“RT-PCR validation experiments confirmed the RNA-Seq-detected regulatory profiles and inclusion levels of all (10/10) microexons analyzed across ten diverse tissues (R2 = 0.92, n=107; Figure S2A).”
Quote in the paperSubstantial claim - Premisecitation
Microexons, defined as 3-27 nucleotide exons, have been largely missed by genome annotations and transcriptome profiling studies, especially those shorter than 15 nucleotides.
“In particular, microexons (Beachy et al., 1985; Coleman et al., 1987), defined here as 3-27 nucleotide (nt)-long exons, have been largely missed by genome annotations and transcriptome profiling studies (Volfovsky et al., 2003; Wu et al., 2013; Wu and Watanabe, 2005). This is especially true for microexons shorter than 15 nts.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The primary function of this microexon is to extend the interface with which Apbb1 binds its partner proteins.
“This suggests that the primary function of this microexon is to extend the interface with which Apbb1 binds its partner proteins.”
Quote in the paperSubstantial claim - Study design and conductown data
RT-PCR experiments on a representative subset of profiled tissues confirmed increased misregulation of microexons in autistic versus control brain samples.
“RT-PCR experiments on a representative subset of profiled tissues confirmed increased misregulation of microexons in autistic versus control brain samples (Figure S7B).”
Quote in the paperSubstantial claim - Interpretationown data
This observation provides additional evidence supporting an important role for microexons in the control of protein interactions that function in neurons.
“This observation thus provides additional evidence supporting an important role for microexons in the control of protein interactions that function in neurons.”
Quote in the paperSubstantial claim - Interpretationreasoning
The pattern of late activation suggests enrichment for important functions for microexons in terminal neurogenesis.
“This pattern of late activation (Figure S3B) suggests enrichment for important functions for microexons in terminal neurogenesis (Figure 1C).”
Quote in the paperSubstantial claim - Interpretationown data
A common function of microexons may be to modulate the activity of overlapping or adjacent protein domains.
“These results suggest that a common function of microexons may be to modulate the activity of overlapping or adjacent protein domains.”
Quote in the paperSubstantial claim - Interpretationown data
Microexons may often regulate interaction domains to facilitate the remodeling of protein interaction networks associated with signaling and other aspects of neuronal maturation and function.
“Taken together with the data in Figure 1, these results suggest that microexons may often regulate interaction domains to facilitate the remodeling of protein interaction networks associated with signaling and other aspects of neuronal maturation and function.”
Quote in the paperSubstantial claim - Interpretationown data
The dynamic switch-like regulation of microexons is intimately associated with the maturation of neurons.
“These observations indicate that the dynamic switch-like regulation of microexons is intimately associated with the maturation of neurons.”
Quote in the paperSubstantial claim - Interpretationown data
nSR100 has a direct and extensive role in the regulation of the neural microexon program.
“nSR100 thus has a direct and extensive role in the regulation of the neural microexon program.”
Quote in the paperSubstantial claim - Interpretationown data
Largely distinct subsets of genes are misregulated at the levels of expression and microexon splicing in the analyzed ASD subjects.
“This reveals that largely distinct subsets of genes are misregulated at the levels of expression and microexon splicing in the analyzed ASD subjects.”
Quote in the paperSubstantial claim - Interpretationown data
These data reveal frequent misregulation of microexon splicing in the brain cortices of some individuals with ASD.
“These data reveal frequent misregulation of microexon splicing in the brain cortices of some individuals with ASD.”
Quote in the paperSubstantial claim - Study design and conductown data
qRT-PCR assays confirmed the nSR100 expression differences in a representative subset of individuals (p<2.8×10-4 for all normalizations).
“These differences were confirmed by qRT-PCR assays for a representative subset of individuals (p<2.8×10-4 for all normalizations; two-sided T-test; Figure S7D)”
Quote in the paperNot a substantial claim- Rests on an assumption: nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
- Premisecitation
nSR100 is strongly co-expressed in the developing human brain in gene network module M2, which is enriched for rare de novo ASD-associated mutations.
“nSR100 is strongly co-expressed in the developing human brain in a gene network module, M2, which is enriched for rare de novo ASD-associated mutations (Parikshak et al., 2013)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Parikshak et al., 2013 source
Not checked in the free run.
- Interpretationreasoning
Microexons contribute important and complementary roles to longer neural exons in remodeling protein interaction networks during neuronal maturation.
“these observations suggest that microexons contribute important and complementary roles to longer neural exons in the remodeling of protein interaction networks that operate during neuronal maturation”
Quote in the paperSubstantial claim - Interpretationreasoning
Disruption of microexon-regulated protein interaction networks is a potentially important mechanism underlying ASD and likely other neurodevelopmental disorders.
“Disruption of microexon-regulated protein interaction networks is therefore a potentially important mechanism underlying ASD and likely other neurodevelopmental disorders.”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
- May combine two claims. 28
- Classified as probably not a substantial claim. 19
May combine two claims.
Findingown dataWithin the neural-regulated alternative splicing program, 3-15 nucleotide microexons show the strongest evolutionary conservation and switch-like regulation compared with all other alternative splicing types.
“Relative to all other types of AS within this program, 3-15 nucleotide ‘microexons’ display the most striking evolutionary conservation and switch-like regulation.”
- Also stated in: § Introduction · boosted
“Strikingly, neural-included microexons represent the most highly conserved and dynamically-regulated component of this program, and the corresponding genes are highly enriched in neuronal functions.”
Quote in the paperSubstantial claim- Also stated in: § Introduction · boosted
May combine two claims.
FindingcitationThere is little overlap (8.5%) between genes with neural-regulated alternative splicing and mRNA expression, although these subsets are highly enriched in overlapping Gene Ontology terms (40% in common).
“Consistent with previous results (Fagnani et al., 2007; Pan et al., 2004), there is little overlap (8.5%) between genes with neural-regulated AS and mRNA expression, although these subsets of genes are highly enriched in overlapping GO terms (40% in common; Figure S1).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Findingown data60.7% of alternative microexons show increased neural percent spliced in (ΔPSI>15) versus 9.5% of longer (average ~135 nt) alternative exons.
“60.7% of alternative microexons show increased neural ‘percent spliced in’ (PSI) (ΔPSI>15) versus 9.5% of longer (average ∼135 nt) alternative exons (p=1.9×10-220, proportion test).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong 49 available and de novo-modeled tertiary protein structures containing microexons, the corresponding residues are largely surface accessible and unlikely to significantly affect the folding of the overlapping or adjacent protein domains.
“Supporting this view, among 49 available and de novo-modeled tertiary protein structures containing microexons, the corresponding residues are largely surface accessible amd unlikely to significantly affect the folding of the overlapping or adjacent protein domains (Figure S6A; Extended Experimental Procedures).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMicroexons are significantly more often conserved at the levels of genomic sequence, detection in alternatively spliced transcripts, and neural-differential regulation.
“They are also significantly more often conserved at the levels of genomic sequence, detection in alternatively spliced transcripts, and neural-differential regulation (Figure 2D; Figure S2E, neural-regulated exons; p<0.001 for all pairwise comparisons, proportion tests.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataKnockdown and overexpression of nSR100 had the strongest effect on microexon regulation, with more than half of the profiled microexons displaying a pronounced change in inclusion level compared to controls.
“Among several analyzed splicing regulators (Extended Experimental Procedures), knockdown and overexpression of nSR100 had the strongest effect on microexon regulation, with more than half of the profiled microexons displaying a pronounced change in inclusion level compared to controls (Figure 4A and S4A-S4H).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataProteins containing microexons are significantly more often central in protein-protein interaction networks and detected in protein complexes compared to proteins with other types of alternative exons.
“Moreover, proteins containing microexons are significantly more often central in protein-protein interaction networks and detected in protein complexes compared to proteins with other types of alternative exons (Figures 5H and S5O,P, p≤0.004 for all comparisons, Wilcoxon Rank Sum test).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 308 neural-regulated microexons in human, 225 (73.5%) are neural-differentially spliced in mouse, compared to 527 of 1390 (37.9%) longer neural-regulated exons.
“Of 308 neural-regulated microexons in human, 225 (73.5%) are neural-differentially spliced in mouse, compared to only 527 of 1390 (37.9%) longer neural-regulated exons.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEach cluster revealed significant enrichment of specific Gene Ontology terms including regulation of GTPase activity (Cluster I), glutamate receptor binding and actin cytoskeleton organization (Cluster V).
“Despite the small number of genes representing clusters of kinetically-distinct sets of regulated microexons, each cluster revealed significant enrichment of specific GO terms including “regulation of GTPase activity” (Cluster I), “glutamate receptor binding” and “actin cytoskeleton organization” (Cluster V) (Table S4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhile microexons represent only about 1% of all alternative splicing events, they comprise approximately one third of all neural-regulated alternative splicing events conserved between human and mouse that are predicted to generate alternative protein isoforms.
“Remarkably, while microexons represent only ∼1% of all AS events, they comprise approximately one third of all neural-regulated AS events conserved between human and mouse that are predicted to generate alternative protein isoforms (Figure S2F).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMicroexon residues overlapping protein domains are significantly more often surface-accessible and enriched in charged residues than residues overlapping longer neural or non-neural exons.
“In contrast, microexon residues overlapping protein domains are significantly more often surface-accessible and enriched in charged residues (Figures 5C,D, and S5F-I; p<10-7 for all comparisons, proportion test) than are residues overlapping longer neural or non-neural exons.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSubstitution of both microexon residues with alanine also enhanced the Kat5 interaction, although to a lesser extent than the presence of Arg and Glu.
“Substitution of both microexon residues with alanine also enhanced the Kat5 interaction, although to a lesser extent than the presence of Arg and Glu (Figure 6C).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataInclusion of the Apbb1 microexon significantly enhances the interaction with Kat5, whereas there is little to no effect on the interaction with App.
“LUMIER and co-immunoprecipitation-western analysis reveals that inclusion of the microexon significantly enhances the interaction with Kat5, whereas there is little to no effect on the interaction with App (Figures 6C,D and Figure S6B,C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThese late stages correspond to maturing post-mitotic neurons when pan-neuronal markers are already expressed, and are subsequent to the expression of most neurogenic transcription factors.
“These stages correspond to maturing post-mitotic neurons when pan-neuronal markers are already expressed, and are subsequent to the expression of most neurogenic transcription factors (Figure S3A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 219 neural-regulated microexons with sufficient read coverage across time points, 151 (69%) displayed a PSI switch of at least 50 between embryonic stem cells and mature neurons, and 65 (30%) a switch of at least 90.
“Remarkably, of 219 neural-regulated microexons with sufficient read coverage across time points, 151 (69%) displayed a PSI switch ≥ 50 between ES cells and mature neurons, and 65 (30%) a switch of ≥ 90 (Figure 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparable numbers of alternative microexons were detected in all analyzed vertebrate species, the majority of which are also strongly neural-specifically included.
“Furthermore, comparable numbers of alternative microexons were detected in all analyzed vertebrate species, the majority of which are also strongly neural-specifically included (Figure 2E; Supplemental Information for details).”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenAlternative microexons show the highest genomic sequence conservation, tissue-specific regulatory conservation, and frame-preservation potential among all classes of alternative splicing detected so far in vertebrates.
“alternative microexons display the highest degrees of genomic sequence conservation, tissue-specific regulatory conservation, and frame-preservation potential, relative to all other classes of AS detected to date in vertebrate species”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMany of the genes with ASD-associated microexon misregulation act in shared pathways and/or physically interact through protein-protein interactions.
“Many of the corresponding genes act in common pathways and/or physically interact through protein-protein interactions (Figure 7F)”
Quote in the paperSubstantial claim- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMany cell- and tissue-type- and developmentally regulated alternative splicing events are coordinately controlled by individual RNA binding proteins, and these events are enriched in genes operating in common biological processes and pathways.
“An important advance that is facilitating a more general understanding of the role of individual AS events is the observation that many cell/tissue type- and developmentally-regulated AS events are coordinately controlled by individual RBPs, and that these events are significantly enriched in genes that operate in common biological processes and pathways (Calarco et al., 2011; Irimia and Blencowe,”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Calarco et al., 2011 source
Not checked in the free run.
- cites Irimia and Blencowe, 2012
Not checked in the free run.
- cites Licatalosi and Darnell, 2010
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAlternative splicing expands the functional and regulatory capacity of metazoan genomes.
“Alternative splicing (AS) – the process by which different pairs of splice sites are selected in precursor mRNA to generate multiple mRNA and protein products – is responsible for greatly expanding the functional and regulatory capacity of metazoan genomes (Braunschweig et al., 2013; Chen and Manley, 2009; Kalsotra and Cooper, 2011).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Braunschweig et al., 2013 source
Not checked in the free run.
- cites Chen and Manley, 2009
Not checked in the free run.
- cites Kalsotra and Cooper, 2011
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe results reveal a highly conserved program of dynamic microexon regulation associated with remodeling of protein interaction networks during neurogenesis, whose misregulation is linked to autism.
“The results thus reveal a highly conserved program of dynamic microexon regulation associated with the remodeling of protein interaction networks during neurogenesis, the misregulation of which is linked to autism.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationAmong analyzed neural-specific exons enriched in disordered regions, about one third promoted or disrupted interactions with partner proteins.
“Indeed, among a set of analyzed neural-specific exons enriched in disordered regions, approximately one third promoted or disrupted interactions with partner proteins (Ellis et al., 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ellis et al., 2012 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationChanges in the expression of RBFOX1 have been linked to misregulation of alternative splicing in the brains of individuals with autism spectrum disorder.
“changes in the expression of the RBP RBFOX1 have been linked to misregulation of AS in the brains of individuals with autism spectrum disorder (ASD) (Voineagu et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Voineagu et al., 2011 source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe data reveal the largest program of neural-regulated alternative splicing events defined to date, associated with a broader range of functional processes and pathways linked to nervous system biology than previously detected.
“These data reveal the largest program of neural-regulated AS events defined to date, and that this program is associated with a broader range of functional processes and pathways linked to nervous system biology than previously detected (Boutz et al., 2007; Fagnani et al., 2007; Ule et al., 2005).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHuman disease mutations often disrupt cis-elements that control splicing and result in aberrant alternative splicing patterns.
“Human disease mutations often disrupt cis-elements that control splicing and result in aberrant AS patterns (Cartegni et al., 2002).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cartegni et al., 2002 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe function of the vast majority of detected alternative splicing events is unknown.
“However, the function of the vast majority of AS events detected to date are not known, and new landscapes of AS regulation remain to be discovered and characterized(Braunschweig et al., 2014; Eom et al., 2013).”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationDisease changes can affect the activity or expression of RNA binding proteins, causing entire programs of alternative splicing to be misregulated.
“Other disease changes affect the activity or expression of RBPs, causing entire programs of AS to be misregulated.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCell- and tissue-differentially regulated alternative splicing events are under-represented in folded protein domains and enriched in disordered, surface-accessible regions that embed short linear interaction motifs.
“While cell and tissue differentially-regulated AS events are significantly under-represented in functionally defined, folded domains in proteins, they are enriched in regions of protein disorder that typically are surface accessible and embed short linear interaction motifs (Buljan et al., 2012; Ellis et al., 2012; Romero et al., 2006).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationnSR100 promotes the inclusion of a subset of longer neural exons via binding to intronic UGC motifs proximal to suboptimal 3′ splice sites.
“Recently, we have shown that nSR100 promotes the inclusion of a subset of (longer) neural exons via binding to intronic UGC motifs proximal to suboptimal 3′ splice sites (Raj et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Raj et al., 2014 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMutations in AP1S2 have been previously implicated in phenotypic features associated with autism spectrum disorder and X-linked mental retardation.
“Interestingly, mutations in AP1S2 have been previously implicated in phenotypic features associated with ASD and X-linked mental retardation (Borck et al., 2008; Tarpey et al., 2006).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
InterpretationreasoningThe properties of microexons suggest that their misregulation could be associated with neurological disorders.
“The properties of microexons described above suggest that their misregulation could be associated with neurological disorders.”
Quote in the paperSubstantial claim- Rests on an assumption: Misregulation of alternative splicing frequently causes or contributes to human disease.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe AP1 complex functions in intracellular transport of cargo proteins between the trans-Golgi apparatus and endosomes by linking clathrin to cargo proteins during vesicle membrane formation, and is important for somatodendritic transport of proteins required for neuronal polarity.
“The AP1 complex functions in the intracellular transport of cargo proteins between the trans-Golgi apparatus and endosomes by linking clathrin to the cargo proteins during vesicle membrane formation (Kirchhausen, 2000), and is important for the somatodendritic transport of proteins required for neuronal polarity (Farias et al., 2012).”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationApbb1 contains two phosphotyrosine binding domains, PTB1 and PTB2, which bind Kat5 and App, respectively.
“Apbb1 contains two phosphotyrosine binding domains, PTB1 and PTB2, which bind Kat5 and App, respectively (Cao and Sudhoff, 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cao and Sudhoff, 2001
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenSample selection was independent of any information on splicing changes.
“Sample selection was independent of any information on splicing changes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAn alternative microexon overlapping the SH3A domain of Intersectin 1 promotes interaction with Dynamin 1 and was proposed to modulate Itsn1 roles in endocytosis, cell signaling, and/or actin-cytoskeleton dynamics.
“an alternative microexon overlapping the SH3A domain of Intersectin 1 (Itsn1) has been reported to promote an interaction with Dynamin 1, and was proposed to modulate roles of Itsn1 in endocytosis, cell signaling and/or actin-cytoskeleton dynamics (Dergai et al., 2010)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dergai et al., 2010 source
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningThe discovery and characterization of widespread, neural-regulated microexons in this study enables systematic investigation of new and highly conserved mechanisms controlling protein interaction networks associated with vertebrate nervous system development and neurological disorders.
“The discovery and characterization of widespread, neural-regulated microexons in the present study thus enables a systematic investigation of new and highly conserved mechanisms controlling protein interaction networks associated with vertebrate nervous system development and neurological disorders.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA neural-specific microexon in Protrudin/Zfyve27 increases interaction with VAP and promotes neurite outgrowth.
“A neural-specific microexon in Protrudin/Zfyve27 was recently shown to increase its interaction with the vesicle-associated membrane protein-associated protein (VAP), and to promote neurite outgrowth (Ohnishi et al., 2014)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ohnishi et al., 2014 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent reports have linked individual microexons with neurodevelopmental disorders, including ASD, schizophrenia, and epilepsy.
“recent reports have begun to link individual microexons with neurodevelopmental disorders, including ASD (Zhu et al., 2014), schizophrenia (Ovadia and Shifman, 2011) and epilepsy (Rusconi et al., 2014)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Zhu et al., 2014 source
Not checked in the free run.
- cites Ovadia and Shifman, 2011
Not checked in the free run.
- cites Rusconi et al., 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationnSR100 promotes neurite outgrowth.
“we have previously shown that nSR100 promotes neurite outgrowth (Calarco et al., 2009)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Calarco et al., 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationApbb1 is an adapter protein that functions in neurite outgrowth and synaptic plasticity, processes linked to neurological disorders including ASD.
“Apbb1 is an adapter protein that functions in neurite outgrowth (Cheung et al., 2014; Ikin et al., 2007) and synaptic plasticity (Sabo et al., 2003), processes that have been linked to neurological disorders including ASD (Hussman et al., 2011)”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningThe results suggest that misregulation of microexons, and of longer alternative exons, may affect protein interaction networks needed for normal neuronal development and synaptic function.
“the results suggest that the misregulation of microexons, as well as of longer alternative exons (Corominas et al., 2014; Voineagu et al., 2011), may impact protein interaction networks that are required for normal neuronal development and synaptic function”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Corominas et al., 2014 source
Not checked in the free run.
- cites Voineagu et al., 2011 source
Not checked in the free run.
- Rests on an assumption: The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
The paper relies on this without support.
Misregulation of alternative splicing frequently causes or contributes to human disease.
“since the misregulation of AS frequently causes or contributes to human disease, there is a pressing need to systematically define the functions of splice variants in disease contexts.”
The paper relies on this without support.
Gene prediction algorithms, high-throughput RNA sequencing analysis methods, and RNA-Seq datasets generally lack the sensitivity and/or depth required to detect specific types of alternative splicing.
“Gene prediction algorithms, high-throughput RNA sequencing (RNA-Seq) analysis methods, and RNA-Seq datasets generally lack the sensitivity and/or depth required to detect specific types of AS.”
The paper relies on this without support.
It is generally not known which disease-misregulated alternative splicing events cause or contribute to disease phenotypes.
“As is the case with assessing the normal functions of AS, it is generally not known which disease-misregulated AS events cause or contribute to disease phenotypes.”
The paper relies on this without support.
Several genes with misregulated microexons have been linked to learning or intellectual disability.
“Other genes with misregulated microexons have been linked to learning or intellectual disability (e.g. APBB1, TRAPPC9, RAB3GAP1)”
The paper relies on this without support.
The ASD and control brain samples analyzed are representative of the broader ASD and control populations.
“We analyzed 24 autistic individuals and 24 controls matched by age and gender.”
The paper relies on this without support.
nSR100 mRNA expression levels reflect nSR100 protein activity or functional nSR100 levels.
“nSR100 mRNA expression is, on average, significantly downregulated in the brains of the analyzed ASD versus control subjects”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
SRRM4 and RBFOX1 expression are positively correlated, and PTBP1 and SRRM4 expression are anticorrelated.
“the known positive correlation between SRRM4 and RBFOX1 and anticorrelation between PTBP1 and SRRM4 (refs 14,19)”
From Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism (2016) · cites this paper as [14]
Previous studies identified alterations in local splicing events in ASD and in smaller cohorts in SCZ and BD.
“Previous studies have identified alterations in local splicing events in ASD (19, 30) and in smaller cohorts in SCZ (2, 24) and BD (31).”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [30]
Several studies have demonstrated that genes carrying microexons are preferentially expressed in brain and their splicing is dysregulated in autism spectrum disorder.
“several studies have demonstrated that genes carrying microexons are preferentially expressed in brain and their splicing is dysregulated in ASD (30, 82, 83).”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [30]
nSR100 controls alternative splicing of 3-15 nucleotide microexons during neurogenesis, and reduced nSR100 and dysregulated neuronal microexons are implicated in some cases of autism.
“nSR100 controls alternative splicing of 3–15 nucleotide “microexons,” which in turn alters protein-protein interactions, during neurogenesis. Reduced levels of nSR100 and dysregulated neuronal microexons are implicated in some cases of autism (Irimia et al., 2014).”
From Genetic Changes Shaping the Human Brain (2015) · cites this paper as Irimia et al., 2014
Recent studies have highlighted the importance of aberrant alternative splicing of mRNA in the brains of subjects with an ASD diagnosis.
“Recent studies have highlighted the importance of aberrant alternative splicing of mRNA in the brains of subjects with an ASD diagnosis (Corominas et al., 2014; Gandal et al., 2018; Irimia et al., 2014; Parikshak et al., 2016; Voineagu et al., 2011).”
From Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice (2019) · cites this paper as Irimia et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
ASD microexon misregulation rate is overstated
MajorThe stated count is 126 of 504 microexons, which is 25%, not 30%. This overstates a rate used to describe the extent of ASD-associated misregulation.
Reported 30 · recomputed 25
“126 of 504 (30%) detected alternative microexons display a mean ΔPSI > 10 between ASD and control subjects”
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“For example, transcripts from over 95% of human multiexon genes undergo AS, and most of the resulting mRNA splice variants are variably expressed between different cell and tissue types (Pan et al., 2008; Wang et al., 2008).”
BackgroundSelf-citationDali server: conservation mapping in 3D
Holm, L., & Rosenstr�m, P. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq366 · Cited by 3,640 · cited 1× · see citing works
“We thus used the Dali server (Holm and Rosenström, 2010) to identify structures that have been resolved in the presence of a protein ligand and that most closely resembles the APBB1-PTB1 domain.”
MethodGOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356 · see citing works
The Spliceosome: Design Principles of a Dynamic RNP Machine
Wahl, M. C., Will, C. L., & Lührmann, R. (2009) · Cell · doi:10.1016/j.cell.2009.02.009 · Cited by 2,665 · cited 1× · see citing works
“These events are regulated by the interplay of cisacting motifs and trans-acting factors that control the assembly of spliceosomes (Chen andManley, 2009; Wahl et al., 2009).”
BackgroundGMAP: A genomic mapping and alignment program for mRNA and EST sequences
Wu, T. D., & Watanabe, C. K. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti310 · Cited by 2,354 · cited 2× · see citing works
“In particular, microexons (Beachy et al., 1985; Coleman et al., 1987), defined here as 3–27 nucleotide (nt)-long exons, have been largely missed by genome annotations and transcriptome profiling studies (Volfovsky et al., 2003; Wu et al., 2013; Wu and Watanabe, 2005).”
BackgroundEnrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation
Merico, D., Isserlin, R., Stueker, O., Emili, A., & Bader, G. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013984 · Cited by 2,235 · cited 1× · see citing works
“Gene Ontology analyses The Gene Ontology (GO) network for the human genes harboring neural-regulated AS events predicted to generate alternative protein isoforms (Figure 1C) was built using Enrichment Map (Merico et al., 2010) in Cytoscape 2.”
MethodListening to silence and understanding nonsense: exonic mutations that affect splicing
Cartegni, L., Chew, S. L., & Krainer, A. R. (2002) · Nature Reviews Genetics · doi:10.1038/nrg775 · Cited by 2,209 · cited 1× · see citing works
“Human disease mutations often disrupt cis-elements that control splicing and result in aberrant AS patterns (Cartegni et al., 2002).”
BackgroundMaximum Entropy Modeling of Short Sequence Motifs with Applications to RNA Splicing Signals
Yeo, G. W.-M., & Burge, C. B. (2004) · Journal of Computational Biology · doi:10.1089/1066527041410418 · Cited by 2,042 · see citing works
Prediction and Functional Analysis of Native Disorder in Proteins from the Three Kingdoms of Life
Ward, J. J., Sodhi, J. S., McGuffin, L. J., Buxton, B. F., & Jones, D. T. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.02.002 · Cited by 2,010 · cited 2× · see citing works
“, 2005), Disopred2 (Ward et al., 2004); CAST (Promponas et al.”
MethodThe SWISS-MODEL Repository and associated resources
Kiefer, F., Arnold, K., Künzli, M., Bordoli, L., & Schwede, T. F. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn750 · Cited by 2,003 · cited 1× · see citing works
“, 2014) and, when necessary, SWISS-MODEL database (Kiefer et al., 2009), were calculated using the PISA software, as contained in version 6.”
MethodTranscriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
Voineagu, I., Wang, X., Johnston, P., Lowe, J. K., Tian, Y., Horvath, S., Mill, J., Cantor, R. M., Blencowe, B. J., & Geschwind, D. H. (2011) · Nature · doi:10.1038/nature10110 · Cited by 1,874 · cited 6× · see citing works
“Taken together with data in Figures 5 and 6, the results suggest that themisregulation ofmicroexons, as well as of longer alternative exons (Corominas et al., 2014; Voineagu et al., 2011), may impact protein-interaction networks that are required for normal neuronal development and synaptic function.”
BackgroundMethodResultInfluentialSelf-citationActivities at the Universal Protein Resource (UniProt)
The UniProt Consortium (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1140 · Cited by 1,736 · cited 2× · see citing works
“Comparison of protein features across exon types To investigate protein features associated with each class of AS exon, we first mapped AS exons to annotated proteomes by translating each alternative exon and its neighboring exons in all 6 frames, and aligning them to the canonical UniProt sequence (Consortium., 2014).”
BackgroundMethodMechanisms of alternative splicing regulation: insights from molecular and genomics approaches
Chen, M., & Manley, J. L. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2777 · Cited by 1,284 · cited 2× · see citing works
“The assembly of spliceosomes at 50 and 30 splice sites is typically regulated by RNA-binding proteins (RBPs) that recognize proximal cis-elements, referred to as exonic/intronic splicing enhancers and silencers (Chen and Manley, 2009).”
BackgroundA graphical user interface to the CCP 4 program suite
Potterton, E. A., Briggs, P., Turkenburg, M., & Dodson, E. J. (2003) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444903008126 · Cited by 1,216 · see citing works
A Transcriptively Active Complex of APP with Fe65 and Histone Acetyltransferase Tip60
Cao, X., & Südhof, T. C. (2001) · Science · doi:10.1126/science.1058783 · Cited by 1,202 · cited 3× · see citing works
“Previous genetic and functional studies have revealed multiple functions for the Apbb1-Kat5 complex (Cao and Sudhoff, 2001; Stante et al., 2009), and that the loss of Kat5 activity is associated with developmental defects that impact learning and memory (Pirooznia et al., 2012; Wang et al., 2004,…”
BackgroundThe Evolutionary Landscape of Alternative Splicing in Vertebrate Species
Barbosa-Morais, N. L., Irimia, M., Pan, Q., Xiong, H. Y., Gueroussov, S., Lee, L. J., Slobodeniuc, V., Kutter, C., Watt, S., Çolak, R., et al. (2012) · Science · doi:10.1126/science.1230612 · Cited by 1,063 · cited 1× · see citing works
“This is in marked contrast to the generally low degree of evolutionary conservation of other types of AS across vertebrate species (Barbosa-Morais et al., 2012; Braunschweig et al., 2014; Merkin et al., 2012).”
ResultSelf-citationIntegrative functional genomic analyses implicate specific molecular pathways and circuits in autism
Parikshak, N. N., Luo, R., Zhang, A., Won, H., Lowe, J. K., Chandran, V., Horvath, S., & Geschwind, D. H. (2013) · Cell · doi:10.1016/j.cell.2013.10.031 · Cited by 1,039 · cited 2× · see citing works
“A GO analysis of genes with ASD-associated misregulation of microexons reveals significant enrichment of terms related to axonogenesis and synapse biology (Figure 7E), processes that have been previously implicated in autism (Gilman et al., 2011; Parikshak et al., 2013; Voineagu et al., 2011).”
BackgroundSelf-citationDosztányi, Z., Csizmók, V., Tompa, P., & Simon, I. (2005) · Journal of Molecular Biology · doi:10.1016/j.jmb.2005.01.071 · Cited by 1,021 · cited 2× · see citing works
“Disorder was predicted using IUPred (Dosztányi et al., 2005) with a disorder cutoff of 0.”
MethodThe BioGRID interaction database: 2013 update
Chatr‐aryamontri, A., Breitkreutz, B., Heinicke, S., Boucher, L., Winter, A. G., Stark, C., Nixon, J., Ramage, L., Kolas, N. K., O’Donnell, L., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1158 · Cited by 1,010 · cited 1× · see citing works
“, 2013) and BioGrid (Chatr-Aryamontri et al., 2013) databases with the dashed lines representing indirect interactions that are either between proteins found within same protein complex but not interacting directly or predicted interactions based on paralogs (Franceschini et al.”
BackgroundEvolutionary Dynamics of Gene and Isoform Regulation in Mammalian Tissues
Merkin, J., Russell, C., Chen, P., & Burge, C. B. (2012) · Science · doi:10.1126/science.1228186 · Cited by 972 · cited 1× · see citing works
“This is in marked contrast to the generally low degree of evolutionary conservation of other types of AS across vertebrate species (Barbosa-Morais et al., 2012; Braunschweig et al., 2014; Merkin et al., 2012).”
ResultConvergence of genes and cellular pathways dysregulated in autism spectrum disorders
Pinto, D., Delaby, E., Merico, D., Barbosa, M., Merikangas, A., Klei, L., Thiruvahindrapuram, B., Xu, X., Ziman, R., Wang, Z., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.03.018 · Cited by 969 · cited 2× · see citing works
“(Pinto et al., 2014)) whereas partially shaded nodes are genes associated with intellectual disability, FMRP (fragile X mental retardation) or within an ASD CNV but not, as yet, directly implicated in ASD (Banerjee-Basu and Packer, 2010; Pinto et al.”
BackgroundSelf-citationInterior and surface of monomeric proteins
Miller, S., Janin, J., Lesk, A. M., & Chothia, C. (1987) · Journal of Molecular Biology · doi:10.1016/0022-2836(87)90038-6 · Cited by 952 · see citing works
A Census of Human Soluble Protein Complexes
Havugimana, P. C., Hart, T., Nepusz, T., Yang, H., Turinsky, A. L., Li, Z., Wang, P. I., Boutz, D. R., Fong, V., Phanse, S., et al. (2012) · Cell · doi:10.1016/j.cell.2012.08.011 · Cited by 843 · cited 4× · see citing works
“(H) Percent of exons with proteins identified as belonging to one or more protein complexes (data from Havugimana et al., 2012).”
BackgroundMethodInfluentialAlternative pre-mRNA splicing regulation in cancer: pathways and programs unhingedPreprint
David, C. J., & Manley, J. L. (2010) · Genes & Development · doi:10.1101/gad.1973010 · Cited by 815 · cited 1× · see citing works
“It is also widely established that misregulation of AS plays important roles in altering the growth and invasiveness of various cancers (David and Manley, 2010).”
BackgroundAutomated analysis of interatomic contacts in proteins.
Sobolev, V. M., Sorokin, A., Prilusky, J., Abola, E. E., & Edelman, M. (1999) · Bioinformatics · doi:10.1093/bioinformatics/15.4.327 · Cited by 801 · cited 1× · see citing works
“Next, to determine the presence of the microexon in relation to the predicted APBB1-PTB1 binding interface, we utilized the CSU algorithm (Sobolev et al., 1999) to analyze the atomic distances between the superimposed APBB1-PTB1 domain and the APP protein fragment.”
MethodRNA processing and its regulation: global insights into biological networks
Licatalosi, D. D., & Darnell, R. B. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2673 · Cited by 761 · cited 2× · see citing works
“…type- and developmentally-regulated AS events are coordinately controlled by individual RBPs, and that these events are significantly enriched in genes that operate in common biological processes and pathways (Calarco et al., 2011; Irimia and Blencowe, 2012; Licatalosi and Darnell, 2010).”
BackgroundFunctional consequences of developmentally regulated alternative splicing
Kalsotra, A., & Cooper, T. A. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3052 · Cited by 729 · cited 2× · see citing works
“of Neuronal Microexons Is”
BackgroundHigh-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cells
Barrios‐Rodiles, M., Brown, K. R., Ozdamar, B., Bose, R., Liu, Z., Donovan, R. S., Shinjo, F., Liu, Y., Dembowy, J., Taylor, I. W., et al. (2005) · Science · doi:10.1126/science.1105776 · Cited by 726 · cited 2× · see citing works
“To test this hypothesis, we employed luminescence-based mammalian interactome mapping (LUMIER; Barrios-Rodiles et al., 2005; Ellis et al., 2012) and coimmunoprecipitation-western blot assays to investigate whether the insertion of a highly conserved, neural-regulated 6 nt microexon in the nuclear…”
MethodSelf-citationElephant shark genome provides unique insights into gnathostome evolution
Venkatesh, B., Lee, A., Ravi, V., Maurya, A. K., Lian, M. M., Swann, J. B., Ohta, Y., Flajnik, M. F., Sutoh, Y., Kasahara, M., et al. (2014) · Nature · doi:10.1038/nature12826 · Cited by 708 · cited 1× · see citing works
“In addition, we employed previously defined (Venkatesh et al., 2014) clusters of 1-to-1 orthologs for 10 vertebrate species using InParanoid, including”
MethodSelf-citationGilman, S. R., Iossifov, I., Levy, D., Ronemus, M., Wigler, M., & Vitkup, D. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.021 · Cited by 701 · cited 1× · see citing works
“A GO analysis of genes with ASD-associated misregulation of microexons reveals significant enrichment of terms related to axonogenesis and synapse biology (Figure 7E), processes that have been previously implicated in autism (Gilman et al., 2011; Parikshak et al., 2013; Voineagu et al., 2011).”
BackgroundWidespread intron retention in mammals functionally tunes transcriptomes
Braunschweig, U., Barbosa-Morais, N. L., Pan, Q., Nachman, E. N., Alipanahi, B., Gonatopoulos-Pournatzis, T., Frey, B., Irimia, M., & Blencowe, B. J. (2014) · Genome Research · doi:10.1101/gr.177790.114 · Cited by 664 · cited 3× · see citing works
“However, the function of the vast majority of AS events detected to date are not known, and new landscapes of AS regulation remain to be discovered and characterized (Braunschweig et al., 2014; Eom et al., 2013).”
BackgroundMethodResultSelf-citationAttributes of short linear motifs
Davey, N. E., Roey, K. V., Weatheritt, R. J., Toedt, G., Uyar, B., Altenberg, B., Budd, A., Diella, F., Dinkel, H., & Gibson, T. J. (2011) · Molecular BioSystems · doi:10.1039/c1mb05231d · Cited by 626 · cited 1× · see citing works
“4), in line with the average length of linear motifs (Davey et al., 2012).”
BackgroundSelf-citationANCHOR: web server for predicting protein binding regions in disordered proteins
Dosztányi, Z., Mészáros, B., & Simon, I. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp518 · Cited by 624 · cited 2× · see citing works
“(G) Percent of residues overlapping binding motifs predicted by ANCHOR.”
Prediction of Protein Binding Regions in Disordered Proteins
Mészáros, B., Simon, I., & Dosztányi, Z. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000376 · Cited by 621 · cited 2× · see citing works
“(G) Percent of residues overlapping binding motifs predicted by ANCHOR.”
BackgroundA generic method for assignment of reliability scores applied to solvent accessibility predictions
Petersen, B., Petersen, T. N., Andersen, P., Nielsen, M., & Lundegaard, C. (2009) · BMC Structural Biology · doi:10.1186/1472-6807-9-51 · Cited by 615 · cited 1× · see citing works
“1 (Petersen et al., 2009) and default assignments of accessibility were used.”
MethodPhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation
Hornbeck, P. V., Chabra, I., Kornhauser, J. M., Skrzypek, E., & Zhang, B. (2004) · PROTEOMICS · doi:10.1002/pmic.200300772 · Cited by 590 · cited 1× · see citing works
“, 2014); PhosphoSite (Hornbeck et al., 2004); Transmembrane predictions, TMHMM (Krogh et al.”
BackgroundBoutz, P. L., Stoilov, P., Li, Q., Lin, C.-H., Chawla, G., Ostrow, K., Shiue, L., Ares, M., & Black, D. L. (2007) · Genes & Development · doi:10.1101/gad.1558107 · Cited by 577 · cited 1× · see citing works
“These data reveal the largest program of neural-regulated AS events defined to date, and that this program is associatedwith a broader range of functional processes and pathways linked to nervous system biology than previously detected (Boutz et al., 2007; Fagnani et al., 2007; Ule et al., 2005).”
BackgroundKirchhausen, T. (2000) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.69.1.699 · Cited by 560 · see citing works
Nova regulates brain-specific splicing to shape the synapse
Ule, J., Ule, A., Spencer, J., Williams, A., Hu, J.-S., Cline, M., Wang, H., Clark, T., Fraser, C., Ruggiu, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1610 · Cited by 509 · cited 1× · see citing works
“These data reveal the largest program of neural-regulated AS events defined to date, and that this program is associatedwith a broader range of functional processes and pathways linked to nervous system biology than previously detected (Boutz et al., 2007; Fagnani et al., 2007; Ule et al., 2005).”
BackgroundRomero, P. R., Zaidi, S., Fang, Y. Y., Uversky, V. N., Radivojac, P., Oldfield, C. J., Cortese, M. S., Sickmeier, M., LeGall, T., Obradovic, Z., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507916103 · Cited by 480 · cited 2× · see citing works
“…defined, folded domains in proteins, they ell 159, 1511–1523, December 18, 2014 ª2014 Elsevier Inc. 1511 are enriched in regions of protein disorder that typically are surface accessible and embed short linear interaction motifs (Buljan et al., 2012; Ellis et al., 2012; Romero et al., 2006).”
BackgroundTissue-specific alternative splicing remodels protein-protein interaction networks
Ellis, J. D., Barrios-Rodiles, M., Çolak, R., Irimia, M., Kim, T., Calarco, J. A., Wang, X., Pan, Q., O'Hanlon, D., Kim, P. M., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.05.037 · Cited by 431 · cited 1× · see citing works
“However, the function of the vast majority of AS events detected to date are not known, and new landscapes of AS regulation remain to be discovered and characterized (Braunschweig et al., 2014; Eom et al., 2013).”
BackgroundSelf-citationAlgal genomes reveal evolutionary mosaicism and the fate of nucleomorphs
Curtis, B. A., Tanifuji, G., Burki, F., Gruber, A., Irimia, M., Maruyama, S., Arias, M. C., Ball, S. G., Gile, G. H., Hirakawa, Y., et al. (2012) · Nature · doi:10.1038/nature11681 · Cited by 417 · cited 1× · see citing works
“9 species, for which ENCODE-like data are not available, we performed a de novo search for splice sites using our RNA-Seq dataset (Table S1), as previously described (Curtis et al., 2012).”
MethodSelf-citationSegmental distribution of bithorax complex proteins during Drosophila development
Beachy, P. A., Helfand, S. L., & Hogness, D. S. (1985) · Nature · doi:10.1038/313545a0 · Cited by 413 · cited 2× · see citing works
“In particular, microexons (Beachy et al., 1985; Coleman et al., 1987), defined here as 3–27 nucleotide (nt)-long exons, have been largely missed by genome annotations and transcriptome profiling studies (Volfovsky et al., 2003; Wu et al., 2013; Wu and Watanabe, 2005).”
BackgroundDynamic integration of splicing within gene regulatory pathways
Braunschweig, U., Gueroussov, S., Plocik, A. M., Graveley, B. R., & Blencowe, B. J. (2013) · Cell · doi:10.1016/j.cell.2013.02.034 · Cited by 406 · see citing works
Self-citationBuljan, M., Chalancon, G., Eustermann, S., Wagner, G. P., Fuxreiter, M., Bateman, A., & Babu, M. M. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.05.039 · Cited by 396 · cited 5× · see citing works
“Conversely, unlike longer neural exons (Buljan et al., 2012; Ellis et al., 2012), they are depleted of linear binding motifs (Figures 5G and S5N; p < 0.”
BackgroundInfluentialCohesin-mediated interactions organize chromosomal domain architecture
Sofueva, S., Yaffe, E., Chan, W., Georgopoulou, D., Vietri Rudan, M., Mira‐Bontenbal, H., Pollard, S. M., Schroth, G. P., Tanay, A., & Hadjur, S. (2013) · The EMBO Journal · doi:10.1038/emboj.2013.237 · Cited by 394 · cited 2× · see citing works
“To further investigate the cell- and tissue-type specificity of microexon regulation, we used RNA-seq data (Sofueva et al., 2013; Zhang et al., 2013, 2014) to compare their inclusion levels in major glial cell types (astrocytes, microglia, and oligodendrocytes), in isolated neurons, and in muscle cells and tissues.”
MethodRbfox proteins regulate alternative mRNA splicing through evolutionarily conserved RNA bridges
Lovci, M. T., Ghanem, D., Marr, H., Arnold, J., Gee, S., Parra, M., Liang, T. Y., Stark, T. J., Gehman, L. T., Hoon, S., et al. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2699 · Cited by 385 · cited 1× · see citing works
“, 2013), and Rbfox1 in mouse (Lovci et al., 2013)), or overexpression (nSR100 in human 293T cells (Raj et al.”
BackgroundSFARI Gene: an evolving database for the autism research community
Banerjee-Basu, S., & Packer, A. (2010) · Disease Models & Mechanisms · doi:10.1242/dmm.005439 · Cited by 357 · see citing works
PDBe: Protein Data Bank in Europe
Velankar, S. S., Best, C., Beuth, B., Boutselakis, C. H., Cobley, N., Silva, A. W. S. D., Dimitropoulos, D., Golovin, A., Hirshberg, M., John, M., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp916 · Cited by 337 · see citing works
MBNL proteins repress ES-cell-specific alternative splicing and reprogramming
Han, H. R., Irimia, M., Ross, P. J., Sung, H., Alipanahi, B., David, L., Golipour, A., Gabut, M., Michael, I. P., Nachman, E. N., et al. (2013) · Nature · doi:10.1038/nature12270 · Cited by 326 · see citing works
Self-citationPan, Q., Shai, O., Misquitta, C., Zhang, W., Saltzman, A. L., Mohammad, N., Babak, T., Siu, H., Hughes, T. R., Morris, Q. D., et al. (2004) · Molecular Cell · doi:10.1016/j.molcel.2004.12.004 · Cited by 323 · cited 1× · see citing works
“Consistentwith previous results (Fagnani et al., 2007; Pan et al., 2004), there is little overlap (8.5”
ResultInfluentialSelf-citationThe eukaryotic linear motif resource ELM: 10 years and counting
Dinkel, H., Roey, K. V., Michael, S., Davey, N. E., Weatheritt, R. J., Born, D., Speck, T., Krüger, D., Grebnev, G., Kubań, M., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1047 · Cited by 291 · cited 2× · see citing works
“Globular domains known to bind linear motifs and lipids were extracted from the ELM database (Dinkel et al., 2014) and Pfam (Finn et al.”
MethodSelf-citationSIFTS: Structure Integration with Function, Taxonomy and Sequences resource
Velankar, S. S., Dana, J. M., Jacobsen, J. O. B., van Ginkel, G., Gane, P. J., Luo, J., Oldfield, T. J., O’Donovan, C., Martin, M. J., & Kleywegt, G. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1258 · Cited by 277 · cited 1× · see citing works
“The mapping to UniProt was done using EBI SIFTS program (Velankar et al., 2013).”
MethodStructural and Evolutionary Division of Phosphotyrosine Binding (PTB) Domains
Uhlik, M. T., Temple, B., Bencharit, S., Kimple, A. J., Siderovski, D. P., & Johnson, G. L. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.10.038 · Cited by 261 · see citing works
5-hmC in the brain is abundant in synaptic genes and shows differences at the exon-intron boundary
Khare, T., Pai, S., Koncevičius, K., Pal, M., Kriukienė, E., Liutkevičiūtė, Z., Irimia, M., Jia, P., Ptak, C., Xia, M., et al. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2372 · Cited by 251 · cited 2× · see citing works
“, 2010) and alignments of ESTs and cDNAs with genomic sequence (Khare et al., 2012); (2) a ‘‘splice site-based module,’’ utilizing joining of all hypothetically possible EEJ combinations from annotated and de novo splice sites (Han et al.”
Self-citationHussman, J. P., Chung, R.-H., Griswold, A. J., Jaworski, J. M., Salyakina, D., Ma, D., Konidari, I., Whitehead, P. L., Vance, J. M., Martin, E. R., et al. (2011) · Molecular Autism · doi:10.1186/2040-2392-2-1 · Cited by 231 · cited 2× · see citing works
“, 2003), processes that have been linked to neurological disorders including ASD (Hussman et al., 2011).”
BackgroundCalarco, J. A., Superina, S., O'Hanlon, D., Gabut, M., Raj, B., Pan, Q., Skalska, U., Clarke, L., Gelinas, D., van der Kooy, D., et al. (2009) · Cell · doi:10.1016/j.cell.2009.06.012 · Cited by 225 · cited 3× · see citing works
“that nSR100 promotes neurite outgrowth (Calarco et al., 2009).”
BackgroundInfluentialSelf-citationRBFOX1 regulates both splicing and transcriptional networks in human neuronal development
Fogel, B. L., Wexler, E., Wahnich, A., Friedrich, T., Vijayendran, C., Gao, F., Parikshak, N., Konopka, G., & Geschwind, D. H. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds240 · Cited by 216 · cited 1× · see citing works
“- AS profiling of splicing factor-deficient or -overexpressing cells: we used available RNA-Seq data from splicing factor knock-downs (RBFOX1 in human neural precursor cells (Fogel et al., 2012), MBNL1 and MBNL2 in human HeLa cells (Han et al.”
MethodSelf-citationLabbe, R. M., Irimia, M., Currie, K. W., Lin, A. Y., Zhu, S. J., Brown, D. D. R., Ross, E. J., Voisin, V., Bader, G. D., Blencowe, B. J., et al. (2012) · Stem Cells · doi:10.1002/stem.1144 · Cited by 195 · cited 1× · see citing works
“, 2014) was calculated using the cRPKM metric (Labbe et al., 2012).”
MethodSelf-citationSabo, S. L., Ikin, A. F., Buxbaum, J. D., & Greengard, P. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-13-05407.2003 · Cited by 187 · cited 2× · see citing works
“Apbb1 is an adaptor protein that functions in neurite outgrowth (Cheung et al., 2014; Ikin et al., 2007) and synaptic plasticity (Sabo et al., 2003), processes that have been linked to neurological disorders including ASD (Hussman et al., 2011).”
BackgroundDysregulation of synaptogenesis genes antecedes motor neuron pathology in spinal muscular atrophy
Zhang, Z., Pinto, A. M., Wan, L., Wang, W., Berg, M. G., Oliva, I. B., Singh, L. N., Dengler, C. G., Wei, Z., & Dreyfuss, G. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1319280110 · Cited by 182 · cited 3× · see citing works
“To further investigate the cell- and tissue-type specificity of microexon regulation, we used RNA-seq data (Sofueva et al., 2013; Zhang et al., 2013, 2014) to compare their inclusion levels in major glial cell types (astrocytes, microglia, and oligodendrocytes), in isolated neurons, and in muscle…”
MethodCAST: an iterative algorithm for the complexity analysis of sequence tracts
Promponas, V. J., Enright, A. J., Tsoka, S., et al. (2000) · Bioinformatics · doi:10.1093/bioinformatics/16.10.915 · Cited by 179 · see citing works
Alternative splicing: decoding an expansive regulatory layer
Irimia, M., & Blencowe, B. J. (2012) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2012.03.005 · Cited by 177 · cited 3× · see citing works
“…type- and developmentally-regulated AS events are coordinately controlled by individual RBPs, and that these events are significantly enriched in genes that operate in common biological processes and pathways (Calarco et al., 2011; Irimia and Blencowe, 2012; Licatalosi and Darnell, 2010).”
BackgroundSelf-citationLi, Q., Zheng, S., Han, A., Lin, C.-H., Stoilov, P., Fu, X.-D., & Black, D. L. (2014) · eLife · doi:10.7554/elife.01201 · Cited by 174 · cited 1× · see citing works
“5 stage) (Li et al., 2013), and Rbfox1 in mouse (Lovci et al.”
BackgroundMisregulated RNA processing in amyotrophic lateral sclerosis
Polymenidou, M., Lagier-Tourenne, C., Hutt, K. R., Bennett, C. F., Cleveland, D. W., & Yeo, G. W. (2012) · Brain Research · doi:10.1016/j.brainres.2012.02.059 · Cited by 169 · cited 2× · see citing works
“For example, amyotrophic lateral sclerosis-causing mutations in the RBPs TLS/FUS and TDP43 affect AS and other aspects of posttranscriptional regulation (Polymenidou et al., 2012), and changes in the expression of the RBP RBFOX1 have been linked to misregulation of AS in the brains of individuals with autism spectrum…”
BackgroundColeman, K. G., Poole, S. J., Weir, M. P., Soeller, W. C., & Kornberg, T. (1987) · Genes & Development · doi:10.1101/gad.1.1.19 · Cited by 153 · cited 2× · see citing works
“In particular, microexons (Beachy et al., 1985; Coleman et al., 1987), defined here as 3–27 nucleotide (nt)-long exons, have been largely missed by genome annotations and transcriptome profiling studies (Volfovsky et al., 2003; Wu et al., 2013; Wu and Watanabe, 2005).”
BackgroundEpigenetic dysregulation of SHANK3 in brain tissues from individuals with autism spectrum disorders
Zhu, L., Wang, X., Li, X.-L., Towers, A., Cao, X., Wang, P., Bowman, R., Yang, H., Goldstein, J., Li, Y.-J., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddt547 · Cited by 147 · cited 2× · see citing works
“Consistent with this view, recent reports have begun to link individual microexons with neurodevelopmental disorders, including ASD (Zhu et al., 2014), schizophrenia (Ovadia and Shifman, 2011), and epilepsy (Rusconi et al.”
BackgroundBlack, D. L. (1991) · Genes & Development · doi:10.1101/gad.5.3.389 · Cited by 147 · cited 1× · see citing works
“Most microexons display high inclusion at late stages of neuronal differentiation in genes (e.g., Src [Black, 1991], Bin1, Agrn,Dock9,Shank2, andRobo1) associatedwith axonogenesis and the formation and function of synapses.”
BackgroundPDBe: Protein Data Bank in Europe
Gutmanas, A., Alhroub, Y., Battle, G. M., Berrisford, J. M., Bochet, E., Conroy, M. J., Dana, J. M., Montecelo, M. A. F., van Ginkel, G., Gore, S. P., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1180 · Cited by 142 · see citing works
Corominas, R., Yang, X., Lin, G. N., Kang, S., Shen, Y., Ghamsari, L., Broly, M., Rodriguez, M., Tam, S., Wanamaker, S. A., et al. (2014) · Nature Communications · doi:10.1038/ncomms4650 · Cited by 140 · cited 2× · see citing works
“Taken together with data in Figures 5 and 6, the results suggest that themisregulation ofmicroexons, as well as of longer alternative exons (Corominas et al., 2014; Voineagu et al., 2011), may impact protein-interaction networks that are required for normal neuronal development and synaptic…”
ResultSelf-citationDittmar, K. A., Jiang, P., Park, J. W., Amirikian, K., Wan, J., Shen, S., Xing, Y., & Carstens, R. P. (2012) · Molecular and Cellular Biology · doi:10.1128/mcb.06536-11 · Cited by 139 · cited 1× · see citing works
“, 2013), ESRP1 in human PNT2 cells (Dittmar et al., 2012), and Srrm4/nSR100 and Ptbp1 in mouse N2A cells (Raj et al.”
BackgroundA Global Regulatory Mechanism for Activating an Exon Network Required for Neurogenesis
Raj, B., Irimia, M., Braunschweig, U., Sterne-Weiler, T., O’Hanlon, D., Lin, Z.-Y., Chen, G. I., Easton, L. E., Ule, J., Gingras, A.-C., et al. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.08.011 · Cited by 132 · cited 8× · see citing works
“, 2013)), or overexpression (nSR100 in human 293T cells (Raj et al., 2014)), and their associated controls, to identify AS exons and microexons whose inclusion levels are affected by experimental manipulation of the expression of the splicing factors.”
InfluentialSelf-citationTarpey, P. S., Stevens, C., Teague, J., Edkins, S., O’Meara, S., Avis, T., Barthorpe, S., Buck, G., Butler, A., Cole, J., et al. (2006) · The American Journal of Human Genetics · doi:10.1086/510137 · Cited by 123 · cited 1× · see citing works
“Interestingly, mutations in AP1S2 have been previously implicated in phenotypic features associated with ASD and X-linked mental retardation (Borck et al., 2008; Tarpey et al., 2006).”
BackgroundOLego: fast and sensitive mapping of spliced mRNA-Seq reads using small seeds
Wu, J., Anczuków, O., Krainer, A. R., Zhang, M. Q., & Zhang, C. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt216 · Cited by 123 · cited 3× · see citing works
“In particular, microexons (Beachy et al., 1985; Coleman et al., 1987), defined here as 3–27 nucleotide (nt)-long exons, have been largely missed by genome annotations and transcriptome profiling studies (Volfovsky et al., 2003; Wu et al., 2013; Wu and Watanabe, 2005).”
BackgroundFarías, G. G., Cuitino, L., Guo, X., Ren, X., Jarnik, M., Mattera, R., & Bonifacino, J. S. (2012) · Neuron · doi:10.1016/j.neuron.2012.07.007 · Cited by 122 · cited 2× · see citing works
“…1511–1523, December 18, 2014 ª2014 Elsevier Inc. 1515 (legend continued on next page) 1516 Cell 159, 1511–1523, December 18, 2014 ª2014 Elsevier Inc. formation (Kirchhausen, 2000) and is important for the somatodendritic transport of proteins required for neuronal polarity (Farı́as et al., 2012).”
BackgroundFunctional coordination of alternative splicing in the mammalian central nervous system
Fagnani, M., Barash, Y., Ip, J. Y., Misquitta, C., Pan, Q., Saltzman, A. L., Shai, O., Lee, L., Rozenhek, A., Mohammad, N., et al. (2007) · Genome Biology · doi:10.1186/gb-2007-8-6-r108 · Cited by 120 · cited 3× · see citing works
“These data reveal the largest program of neural-regulated AS events defined to date, and that this program is associatedwith a broader range of functional processes and pathways linked to nervous system biology than previously detected (Boutz et al., 2007; Fagnani et al., 2007; Ule et al., 2005).”
BackgroundResultInfluentialSelf-citationNOVA-dependent regulation of cryptic NMD exons controls synaptic protein levels after seizure
Eom, T., Zhang, C., Wang, H., Lay, K., Fak, J., Noebels, J. L., & Darnell, R. B. (2013) · eLife · doi:10.7554/elife.00178 · Cited by 118 · cited 1× · see citing works
“However, the function of the vast majority of AS events detected to date are not known, and new landscapes of AS regulation remain to be discovered and characterized (Braunschweig et al., 2014; Eom et al., 2013).”
BackgroundNakano, Y., Jahan, I., Bonde, G., Sun, X., Hildebrand, M. S., Engelhardt, J. F., Smith, R. J., Cornell, R. A., Fritzsch, B., & Bánfi, B. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002966 · Cited by 89 · cited 1× · see citing works
“- Cumulative Distribution plots analyzing nSR100 binding sites: For each upstream intron, the sequence from 3 ́ to 5 ́ starting from the AG dinucleotide (splice site acceptor) was scanned, and the position of the first occurrence of a TGC (a previously-defined nSR100 binding motif (Nakano et al., 2012; Raj et al., 201…”
Computational discovery of internal micro-exons
Volfovsky, N., Haas, B. J., & Salzberg, S. L. (2003) · Genome Research · doi:10.1101/gr.677503 · Cited by 87 · cited 2× · see citing works
“In particular, microexons (Beachy et al., 1985; Coleman et al., 1987), defined here as 3–27 nucleotide (nt)-long exons, have been largely missed by genome annotations and transcriptome profiling studies (Volfovsky et al., 2003; Wu et al., 2013; Wu and Watanabe, 2005).”
BackgroundStructure of the intracellular domain of the amyloid precursor protein in complex with Fe65‐PTB2
Radzimanowski, J., Simon, B., Sattler, M., Beyreuther, K. T., Sinning, I., & Wild, K. (2008) · EMBO Reports · doi:10.1038/embor.2008.188 · Cited by 87 · see citing works
Pirooznia, S. K., Sarthi, J. B., Johnson, A. A., Toth, M. S., Chiu, K., Koduri, S., & Elefant, F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041776 · Cited by 83 · cited 2× · see citing works
“…studies have revealed multiple functions for the Apbb1-Kat5 complex (Cao and Sudhoff, 2001; Stante et al., 2009), and that the loss of Kat5 activity is associated with developmental defects that impact learning and memory (Pirooznia et al., 2012; Wang et al., 2004, 2009) (see Discussion).”
BackgroundThe Genetic Variation of RELN Expression in Schizophrenia and Bipolar Disorder
Ovadia, G., & Shifman, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019955 · Cited by 79 · cited 2× · see citing works
“, 2014), schizophrenia (Ovadia and Shifman, 2011), and epilepsy (Rusconi et al.”
BackgroundLinear motifs confer functional diversity onto splice variants
Weatheritt, R. J., Davey, N. E., & Gibson, T. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks442 · Cited by 76 · cited 1× · see citing works
“AS events located in these regions are predicted to participate in interactions with proteins and other ligands (Buljan et al., 2012; Weatheritt et al., 2012).”
BackgroundSelf-citationCalarco, J. A., Zhen, M., & Blencowe, B. J. (2011) · RNA · doi:10.1261/rna.2603911 · Cited by 72 · cited 2× · see citing works
“…type- and developmentally-regulated AS events are coordinately controlled by individual RBPs, and that these events are significantly enriched in genes that operate in common biological processes and pathways (Calarco et al., 2011; Irimia and Blencowe, 2012; Licatalosi and Darnell, 2010).”
BackgroundSelf-citationIsoform‐specific knockout of FE65 leads to impaired learning and memory
Wang, B., Hu, Q., Hearn, M. G., Shimizu, K., Ware, C. B., Liggitt, D. H., Jin, L., Cool, B. H., Storm, D. R., & Martin, G. M. (2003) · Journal of Neuroscience Research · doi:10.1002/jnr.10834 · Cited by 69 · cited 1× · see citing works
“…studies have revealed multiple functions for the Apbb1-Kat5 complex (Cao and Sudhoff, 2001; Stante et al., 2009), and that the loss of Kat5 activity is associated with developmental defects that impact learning and memory (Pirooznia et al., 2012; Wang et al., 2004, 2009) (see Discussion).”
BackgroundHubbard, K., Gut, I. M., Lyman, M. E., & McNutt, P. M. (2013) · F1000Research · doi:10.12688/f1000research.2-35.v1 · Cited by 69 · cited 1× · see citing works
“Switch-like Regulation of Microexons during Neuronal Differentiation (A) Heatmap of PSI changes (DPSIs) between time points during differentiation of ESCs to glutamatergic neurons in vitro (Hubbard et al., 2013).”
BackgroundLSD1 Neurospecific Alternative Splicing Controls Neuronal Excitability in Mouse Models of Epilepsy
Rusconi, F., Paganini, L., Braida, D., Ponzoni, L., Toffolo, E., Maroli, A., Landsberger, N., Bedogni, F., Turco, E., Pattini, L., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu070 · Cited by 66 · cited 2× · see citing works
“, 2014), schizophrenia (Ovadia and Shifman, 2011), and epilepsy (Rusconi et al., 2014).”
BackgroundQuantitative regulation of alternative splicing in evolution and development
Irimia, M., Rukov, J. L., Roy, S. W., Vinther, J., & García‐Fernàndez, J. (2009) · BioEssays · doi:10.1002/bies.080092 · Cited by 61 · cited 1× · see citing works
“Evolutionary analysis of neural-regulated cassette exons We analyzed three different aspects of evolutionary conservation of neural-regulated alternative exons (Irimia et al., 2009).”
BackgroundSelf-citationFe65 is required for Tip60-directed histone H4 acetylation at DNA strand breaks
Stante, M., Minopoli, G., Passaro, F., Raia, M., Vecchio, L. D., & Russo, T. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810869106 · Cited by 57 · cited 2× · see citing works
“Previous genetic and functional studies have revealed multiple functions for the Apbb1-Kat5 complex (Cao and Sudhoff, 2001; Stante et al., 2009), and that the loss of Kat5 activity is associated with developmental defects that impact learning and memory (Pirooznia et al., 2012; Wang et al., 2004,…”
BackgroundBorck, G., Mollà-Herman, A., Boddaert, N., Encha-Razavi, F., Philippe, A., Robel, L., Desguerre, I., Brunelle, F., Benmerah, A., Munnich, A., et al. (2008) · Human Mutation · doi:10.1002/humu.20531 · Cited by 44 · cited 1× · see citing works
“Interestingly, mutations in AP1S2 have been previously implicated in phenotypic features associated with ASD and X-linked mental retardation (Borck et al., 2008; Tarpey et al., 2006).”
BackgroundIkin, A. F., Sabo, S. L., Lanier, L. M., & Buxbaum, J. D. (2007) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2007.02.003 · Cited by 38 · cited 2× · see citing works
“Apbb1 is an adaptor protein that functions in neurite outgrowth (Cheung et al., 2014; Ikin et al., 2007) and synaptic plasticity (Sabo et al.”
BackgroundFE65 interacts with ADP-ribosylation factor 6 to promote neurite outgrowth
Cheung, H. N. M., Dunbar, C., Mórotz, G. M., Cheng, W. H., Chan, H. Y. E., Miller, C. C. J., & Lau, K. (2014) · The FASEB Journal · doi:10.1096/fj.13-232694 · Cited by 37 · cited 2× · see citing works
“Apbb1 is an adaptor protein that functions in neurite outgrowth (Cheung et al., 2014; Ikin et al., 2007) and synaptic plasticity (Sabo et al.”
BackgroundDergai, M., Tsyba, L., Dergai, O., Zlatskii, I., Skrypkina, I., Kovalenko, V., & Rynditch, A. (2010) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2010.07.080 · Cited by 35 · cited 1× · see citing works
“Supporting such functions, an alternative microexon overlapping the SH3A domain of Intersectin 1 (Itsn1) has been reported to promote an interaction with Dynamin 1 and was proposed to modulate roles of Itsn1 in endocytosis, cell signaling, and/or actin-cytoskeleton dynamics (Dergai et al., 2010).”
BackgroundIdentification and characterization of a neuron-specific isoform of protrudin
Ohnishi, T., Shirane, M., Hashimoto, Y., Saita, S., & Nakayama, K. I. (2014) · Genes to Cells · doi:10.1111/gtc.12109 · Cited by 33 · cited 1× · see citing works
“A neural-specific microexon in Protrudin/Zfyve27 was recently shown to increase its interaction with the vesicle-associated membrane protein-associated protein (VAP) and to promote neurite outgrowth (Ohnishi et al., 2014).”
BackgroundWang, Y., Zhang, M., Moon, C., Hu, Q., Wang, B., Martin, G. M., Sun, Z. S., & Wang, H. (2009) · Learning & Memory · doi:10.1101/lm.1499309 · Cited by 28 · cited 1× · see citing works
“…studies have revealed multiple functions for the Apbb1-Kat5 complex (Cao and Sudhoff, 2001; Stante et al., 2009), and that the loss of Kat5 activity is associated with developmental defects that impact learning and memory (Pirooznia et al., 2012; Wang et al., 2004, 2009) (see Discussion).”
BackgroundCrystal Structure of the Human Fe65-PTB1 Domain
Radzimanowski, J., Ravaud, S., Schlesinger, S., Koch, J., Beyreuther, K. T., Sinning, I., & Wild, K. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m800861200 · Cited by 17 · see citing works
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GENCODE reference annotation for the human and mouse genomes
Frankish, A., Diekhans, M., Ferreira, A.-M., Johnson, R., Jungreis, I., Loveland, J. E., Mudge, J. M., Sisu, C., Wright, J. C., Armstrong, J. C., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky955 · Cited by 2,929 · see citing works
“We have also completed an effort to capture all recently described unannotated microexons (18) into GENCODE, and further added an additional 146 novel microexons mined from public SLRseq data (19).”
BackgroundPredicting splicing from primary sequence with deep learning
Jaganathan, K., Kyriazopoulou Panagiotopoulou, S., McRae, J. F., Darbandi, S. F., Knowles, D., Li, Y. I., Kosmicki, J. A., Arbelaez, J., Cui, W., Schwartz, G. B., et al. (2019) · Cell · doi:10.1016/j.cell.2018.12.015 · Cited by 2,853 · see citing works
“…Arises from Weak Cryptic Splice Variants Alternative splicing is a major mode of gene regulation that serves to increase the diversity of transcripts in different tissues and developmental stages, and its dysregulation is associated with disease processes (Irimia et al., 2014; Wang et al., 2008).”
BackgroundAlternative splicing as a regulator of development and tissue identity
Baralle, F. E., & Giudice, J. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.27 · Cited by 1,333 · see citing works
Scotti, M. M., & Swanson, M. S. (2015) · Nature Reviews Genetics · doi:10.1038/nrg.2015.3 · Cited by 1,130 · see citing works
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science · doi:10.1126/science.aat8127 · Cited by 1,247 · see citing works
“Finally, several studies have demonstrated that genes carrying microexons are preferentially expressed in the brain and their splicing is dysregulated in ASD (30, 82, 83).”
Self-citationHuman Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice
Sharon, G., Cruz, N. J., Kang, D.-W., Gandal, M. J., Wang, B., Kim, Y.-M., Zink, E. M., Casey, C. P., Taylor, B. C., Lane, C. J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.05.004 · Cited by 1,182 · see citing works
Self-citationDiverse alternative back-splicing and alternative splicing landscape of circular RNAsPreprint
Zhang, X.-O., Dong, R., Zhang, Y., Zhang, J., Luo, Z. D., Zhang, J., Chen, L., & Yang, L. C. (2016) · Genome Research · doi:10.1101/gr.202895.115 · Cited by 1,022 · see citing works
The origin and evolution of cell types
Arendt, D., Musser, J. M., Baker, C. V. H., Bergman, A., Cepko, C., Erwin, D. H., Pavlicev, M., Schlosser, G., Widder, S., Laubichler, M. D., et al. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.127 · Cited by 764 · see citing works
Alternative Splicing Regulatory Networks: Functions, Mechanisms, and Evolution
Ule, J., & Blencowe, B. J. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.09.017 · Cited by 780 · see citing works
“In contrast to longer neurally regulated exons that are enriched within IDRs, as described above, neural microexons significantly overlap or are adjacent to modular domains that function in mediating protein and other ligand interactions (Irimia et al., 2014).”
BackgroundInfluentialSelf-citationTrincado, J. L., Entizne, J. C., Hysenaj, G., Singh, B., Škalič, M., Elliott, D. J., & Eyras, E. (2018) · Genome biology · doi:10.1186/s13059-018-1417-1 · Cited by 707 · see citing works
“These results are in agreement with the previously observed enrichment of microexon inclusion in differentiated neurons [22, 23].”
Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism
Parikshak, N. N., Swarup, V., Belgard, T. G., Irimia, M., Ramaswami, G., Gandal, M. J., Hartl, C., Leppa, V., Ubieta, L. D. L. T., Huang, J., et al. (2016) · Nature · doi:10.1038/nature20612 · Cited by 685 · see citing works
“…differential splicing events in ASD. j , Clustering dendrogram and heat map for neuronal splicing factor gene expression levels across samples demonstrating three major clusters and the known positive correlation between SRRM4 and RBFOX1 and anticorrelation between PTBP1 and SRRM4 (refs 14,19).”
Self-citationThe physiology of alternative splicing
Marasco, L. E., & Kornblihtt, A. R. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00545-z · Cited by 510 · see citing works
Raj, B., & Blencowe, B. J. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.004 · Cited by 475 · see citing works
“Thus, inclusion of microexons represents a complementary mechanism for regulating PPI networks and other ligand interactions that are important for neuronal function (Irimia et al., 2014; Li et al., 2015).”
BackgroundMethodInfluentialSelf-citationNuclear speckles: molecular organization, biological function and role in disease
Gałgański, Ł., Urbanek-Trzeciak, M. O., & Krzyżosiak, W. J. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx759 · Cited by 489 · see citing works
“Interestingly, microexon splicing events often occur in neuronal cells and the functions of proteins found in NSs may also be altered by such microexon-dependent mechanisms, as has been shown for SR100/SRRM4 (189,190).”
BackgroundTapial, J., Ha, K., Sterne-Weiler, T., Gohr, A., Braunschweig, U., Hermoso, A., Quesnel-Vallières, M., Permanyer, J., Sodaei, R., Márquez, Y., et al. (2017) · Genome Research · doi:10.1101/gr.220962.117 · Cited by 427 · see citing works
“2B, bottom; Ule et al. 2005; Fagnani et al. 2007; Warzecha et al. 2009; Han et al. 2013; Giudice et al. 2014; Irimia et al. 2014).”
Self-citationTardáguila, M., de la Fuente, L., Martí, C., Pereira, C., Pardo-Palacios, F. J., del Risco, H., Ferrell, M., Mellado-López, M., Macchietto, M. G., Verheggen, K., et al. (2018) · Genome Research · doi:10.1101/gr.222976.117 · Cited by 441 · see citing works
Single-cell RNA-seq uncovers dynamic processes and critical regulators in mouse spermatogenesis
Chen, Y., Zheng, Y., Gao, Y., Lin, Z., Yang, S., Wang, T., Wang, Q., Xie, N., Hua, R., Liu, M., et al. (2018) · Cell Research · doi:10.1038/s41422-018-0074-y · Cited by 415 · see citing works
“The definition of sufficient read coverage was the same as described before.(77) We only considered the alternative splicing genes that were subjected to at least 2 types of junctions (EEJ, IR, ALTD, or ALTA) in one given cell/sample.”
MethodGenetics and genomics of psychiatric disease
Geschwind, D. H., & Flint, J. (2015) · Science · doi:10.1126/science.aaa8954 · Cited by 424 · see citing works
Self-citationCell-Type-Specific Alternative Splicing Governs Cell Fate in the Developing Cerebral Cortex
Zhang, X., Chen, M. H., Wu, X., Kodani, A., Fan, J., Doan, R. N., Ozawa, M., Ma, J., Yoshida, N., Reiter, J. F., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.025 · Cited by 343 · see citing works
“nSR100, Ptbp1 and Rbfox proteins have also been reported to regulate AS of neuronal microexons (Irimia et al., 2014; Li et al., 2015).”
BackgroundInfluentialLessons from non-canonical splicing
Sibley, C. R., Blázquez, L., & Ule, J. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.46 · Cited by 312 · see citing works
Phase Separation as a Missing Mechanism for Interpretation of Disease Mutations
Tsang, B., Pritišanac, I., Scherer, S. W., Moses, A. M., & Forman-Kay, J. D. (2020) · Cell · doi:10.1016/j.cell.2020.11.050 · Cited by 282 · see citing works
“Microexon splicing events generally lead to the skipping of one to nine amino acids, which would be sufficient to remove specific motifs in IDRs important for phase separation including short linear motif (SLiM), multivalent repeats, or a stretch of low-complexity sequence (Irimia et al., 2014) (Box 1).”
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
Leung, M. K. K., Delong, A., Alipanahi, B., & Frey, B. J. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2494198 · Cited by 276 · see citing works
“For example, transcriptomic analyses have found consistent deviations in AS patterns in the cortical regions of autism spectrum disorder (ASD) cases [62], [63], pointing to splicing misregulation as an ASD mechanism.”
BackgroundThe Spliceosome: The Ultimate RNA Chaperone and Sculptor
Papasaikas, P., & Valcárcel, J. (2015) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.11.003 · Cited by 248 · see citing works
Alternative splicing during mammalian organ development
Mazin, P., Khaitovich, P., Cardoso-Moreira, M., & Kaessmann, H. (2021) · Nature Genetics · doi:10.1038/s41588-021-00851-w · Cited by 216 · see citing works
RBFOX and PTBP1 proteins regulate the alternative splicing of micro-exons in human brain transcriptsPreprint
Li, Y., Sánchez‐Pulido, L., Haerty, W., & Ponting, C. P. (2014) · Genome Research · doi:10.1101/gr.181990.114 · Cited by 231 · see citing works
“Irimia et al. (2014) recently reported that the smallest micro-exons (3–15 nt) preferentially encode amino acids that alter the molecular function of proteins involved in neurogenesis.”
BackgroundModified penetrance of coding variants by cis-regulatory variation contributes to disease risk
Castel, S. E., Cervera, A., Mohammadi, P., Aguet, F., Reverter, F., Wolman, A., Guigo, R., Iossifov, I., Vasileva, A., & Lappalainen, T. (2018) · Nature Genetics · doi:10.1038/s41588-018-0192-y · Cited by 217 · see citing works
Widespread RNA editing dysregulation in brains from autistic individuals
Tran, S. S., Jun, H.-I., Bahn, J. H., Azghadi, A., Ramaswami, G., Nostrand, E. L. V., Nguyen, T. B., Hsiao, Y.-H. E., Lee, C., Pratt, G. A., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0287-x · Cited by 213 · see citing works
Self-citationSterne-Weiler, T., Weatheritt, R. J., Best, A. J., Ha, K., & Blencowe, B. J. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.08.018 · Cited by 214 · see citing works
“Whippet Facilitates Accurate Analysis of Alternative Splicing To assess Whippet’s accuracy, we compared its J values with those measured from RT-PCR data and commonly used RNAseq event-level analysis tools (Irimia et al., 2014; Katz et al., 2010; Wang et al., 2017; Vaquero-Garcia et al., 2016)—which quantify J using r…”
MethodSelf-citationA spatially resolved brain region- and cell type-specific isoform atlas of the postnatal mouse brain
Joglekar, A., Prjibelski, A., Mahfouz, A., Collier, P., Lin, S., Schlusche, A. K., Marrocco, J., Williams, S. R., Haase, B., Hayes, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20343-5 · Cited by 229 · see citing works
Defective control of pre–messenger RNA splicing in human disease
Chabot, B., & Shkreta, L. (2016) · The Journal of Cell Biology · doi:10.1083/jcb.201510032 · Cited by 209 · see citing works
“, 2015) and is reported to be reduced in autistic brain tissues (Irimia et al., 2014).”
BackgroundMartín, G., Márquez, Y., Mantica, F., Duque, P., & Irimia, M. (2021) · Genome biology · doi:10.1186/s13059-020-02258-y · Cited by 208 · see citing works
Self-citationAlternative Splicing and Protein Diversity: Plants Versus Animals
Chaudhary, S., Khokhar, W., Jabre, I., Reddy, A. S. N., Byrne, L. J., Wilson, C. M., & Syed, N. H. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00708 · Cited by 204 · see citing works
Takata, A., Matsumoto, N., & Kato, T. (2017) · Nature Communications · doi:10.1038/ncomms14519 · Cited by 184 · see citing works
“Comprehensive detection of AS events was performed by using vast-tools (version 0.2.1) 13 .”
InfluentialQAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
Ha, K., Blencowe, B. J., & Morris, Q. (2018) · Genome biology · doi:10.1186/s13059-018-1414-4 · Cited by 176 · see citing works
“We also compared genes with QAPA-detected APA with an independently defined set of genes with neural-regulated AS events [50] and, again, did not observe any significant overlap (p = 0.”
ResultSelf-citationMultilayered Control of Alternative Splicing Regulatory Networks by Transcription Factors
Han, H. R., Braunschweig, U., Gonatopoulos-Pournatzis, T., Weatheritt, R. J., Hirsch, C. L., Ha, K., Radovani, E., Nabeel‐Shah, S., Sterne‐Weiler, T., Wang, J., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.01.011 · Cited by 177 · see citing works
Self-citationAutism-like phenotype and risk gene mRNA deadenylation by CPEB4 mis-splicing
Parras, A., Anta, H., Santos‐Galindo, M., Swarup, V., Elorza, A., Nieto-González, J. L., Picó, S., Hernández, I. H., Díaz‐Hernandéz, J. I., Belloc, E., et al. (2018) · Nature · doi:10.1038/s41586-018-0423-5 · Cited by 172 · see citing works
Self-citationGenomic variants, genes, and pathways of Alzheimer's disease: An overview
Naj, A. C., & Schellenberg, G. D. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32499 · Cited by 178 · see citing works
“CYP1A1 encodes aromatase, which is involved in estrogen regulation, while SRRM4 regulates alternative splicing of microexons in the brain, and misregulation of which has been linked to autism spectrum dis- orders [Irimia et al., 2014].”
BackgroundRegulation of Neuronal Differentiation, Function, and Plasticity by Alternative Splicing
Furlanis, E., & Scheiffele, P. (2018) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100617-062826 · Cited by 171 · see citing works
“For example in autism - at least in some individuals - there might be an elevation of the excitation/inhibition ratio (“E/I balance”) (Rubenstein and Merzenich, 2003) and such persistent modifications of network activity may precipitate broad changes in activitydependent alternative splicing (Irimia et al., 2014; Ques…”
BackgroundYan, Q., Weyn‐Vanhentenryck, S. M., Wu, J., Sloan, S. A., Zhang, Y., Chen, K., Wu, J. Q., Barres, B. A., & Zhang, C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502849112 · Cited by 167 · see citing works
The Relationship between Alternative Splicing and Proteomic Complexity
Blencowe, B. J. (2017) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2017.04.001 · Cited by 178 · see citing works
“[84_TD$DIFF] he majority of these ribosome-engaged exon-skipping events [85_TD$DIFF]have frame-preservation potential, and all of them correspond to AS events detected previously in transcript sequence data from diverse cell and tissue types [13].”
BackgroundSelf-citationAn extensive program of periodic alternative splicing linked to cell cycle progression
Dominguez, D., Tsai, Y., Weatheritt, R. J., Wang, Y., Blencowe, B. J., & Wang, Z. (2016) · eLife · doi:10.7554/elife.10288 · Cited by 156 · see citing works
Self-citationAutism spectrum disorder: insights into convergent mechanisms from transcriptomics
Quesnel-Vallières, M., Weatheritt, R. J., Cordes, S. P., & Blencowe, B. J. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0066-2 · Cited by 160 · see citing works
Self-citationIntron retention and nuclear loss of SFPQ are molecular hallmarks of ALS
Luisier, R., Tyzack, G. E., Hall, C. E., Mitchell, J. S., Devine, H. E., Taha, D. M., Malik, B. A., Meyer, I., Greensmith, L., Newcombe, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04373-8 · Cited by 156 · see citing works
Quesnel-Vallières, M., Dargaei, Z., Irimia, M., Gonatopoulos-Pournatzis, T., Ip, J. Y., Wu, M., Sterne-Weiler, T., Nakagawa, S., Woodin, M. A., Blencowe, B. J., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.11.033 · Cited by 178 · see citing works
“As such, they recapitulate misregulated patterns of splicing observed in autistic human brains (Irimia et al., 2014). nSR100+/D7-8 mutant mice appear normal in tests for locomotion, habituation, short-term memory, olfaction, and hearing (Figure S1, available online), and they display either mild or…”
BackgroundMethodInfluentialSelf-citationClark, M. B., Wrzesiński, T., Garcia, A. B., Hall, N., Kleinman, J. E., Hyde, T. M., Weinberger, D. R., Harrison, P. J., Haerty, W., & Tunbridge, E. M. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0583-1 · Cited by 150 · see citing works
RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis
den Berge, K. V., Hembach, K. M., Soneson, C., Tiberi, S., Clement, L., Love, M., Patro, R., & Robinson, M. D. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-072018-021255 · Cited by 119 · see citing works
“Transcriptomic studies identified previously unknown phenomena, such as microexons [27], cryptic exons [28], “skiptic” exons [29], circular RNAs [30], enhancer RNAs [31], fusion genes [32] and so-called epi-transcriptomics involving RNA base modifications [33].”
The ribosome-engaged landscape of alternative splicing
Weatheritt, R. J., Sterne-Weiler, T., & Blencowe, B. J. (2016) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3317 · Cited by 162 · see citing works
Self-citationEssential roles for the splicing regulator nSR100/SRRM4 during nervous system development
Quesnel-Vallières, M., Irimia, M., Cordes, S. P., & Blencowe, B. J. (2015) · Genes & Development · doi:10.1101/gad.256115.114 · Cited by 155 · see citing works
“…“ percent spliced in ” (PSI) values for alternative cassette exons, “ percent splice site usage ” (PSU) values for sequences formed by alternative 5 ′ /3 ′ splice site selection, and “ percent intron retained ” (PIR) values for intron retention events (Braunschweig et al. 2014; Irimia et al. 2014).”
InfluentialSelf-citationGueroussov, S., Weatheritt, R. J., O’Hanlon, D., Lin, Z., Narula, A., Gingras, A., & Blencowe, B. J. (2017) · Cell · doi:10.1016/j.cell.2017.06.037 · Cited by 154 · see citing works
“0 (Irimia et al., 2014) https://github.com/vastgroup/vast-tools ProHits v4 Anne-Claude Gingras’ lab http://prohitsms.com/Prohits_download/ list.php Trans-Proteomic Pipeline v4.”
InfluentialSelf-citationOlfactory receptor pseudo-pseudogenes
Prieto-Godino, L. L., Rytz, R., Bargeton, B., et al. (2016) · Nature · doi:10.1038/nature19824 · Cited by 146 · see citing works
Targeted DNA Sequencing from Autism Spectrum Disorder Brains Implicates Multiple Genetic Mechanisms
D’Gama, A. M., Pochareddy, S., Li, M., Jamuar, S. S., Rodin, R. E., Lam, A.-T. N., Šestan, N., & Walsh, C. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.11.009 · Cited by 149 · see citing works
“…studies of ASD risk have analyzed DNA from blood, saliva, or cell lines (De Rubeis et al., 2014; Iossifov et al., 2014; O'Roak et al., 2011), postmortem ASD brain samples have been utilized mostly to study neuropathology, transcriptomics, and splicing (Chen et al., 2015; Irimia et al., 2014).”
MethodDaguenet, É., Dujardin, G., & Valcárcel, J. (2015) · EMBO Reports · doi:10.15252/embr.201541116 · Cited by 151 · see citing works
“Recently, a class of microexons (3–15 nucleotides in length) was discovered that are specifically included in neurons and which are frequently misregulated in patients with autism [123].”
Determining exon connectivity in complex mRNAs by nanopore sequencing
Bolisetty, M. T., Rajadinakaran, G., & Graveley, B. R. (2015) · Genome biology · doi:10.1186/s13059-015-0777-z · Cited by 139 · see citing works
“For instance, there are many micro-exons in the human genome [15], and these exons would be difficult to identify if they overlapped a portion of a read that contained errors.”
BackgroundFurlanis, E., Traunmüller, L., Fucile, G., & Scheiffele, P. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0465-5 · Cited by 136 · see citing works
Merico, D., Roifman, M., Braunschweig, U., Yuen, R. K. C., Alexandrova, R., Bates, A., Reid, B. E., Nalpathamkalam, T., Wang, Z., Thiruvahindrapuram, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms9718 · Cited by 147 · see citing works
Self-citationGenetics and epigenetics of autism: A Review
Waye, M. M. Y., & Cheng, H. Y. (2017) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12606 · Cited by 153 · see citing works
“Such misregulated patterns of splicing have also been demonstrated in autistic human brains by the same group in Toronto.(67) Thus it is hoped that nSR100 protein could be one of the future drug targets for changing the behavior of autistic children.”
BackgroundResultInfluentialGenetic and Epigenetic Etiology Underlying Autism Spectrum Disorder
Yoon, S. H., Choi, J., Lee, W. Y., & Do, J. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9040966 · Cited by 156 · see citing works
“23 Neuronal cells and misregulated neural ‘microexons’ in the brains nSR100/SRRM4 [171]”
BackgroundAn alternative splicing event amplifies evolutionary differences between vertebrates
Gueroussov, S., Gonatopoulos-Pournatzis, T., Irimia, M., Raj, B., Lin, Z.-Y., Gingras, A.-C., & Blencowe, B. J. (2015) · Science · doi:10.1126/science.aaa8381 · Cited by 148 · see citing works
Self-citationGenetic Changes Shaping the Human Brain
Bae, B.-I., Jayaraman, D., & Walsh, C. A. (2015) · Developmental Cell · doi:10.1016/j.devcel.2015.01.035 · Cited by 135 · see citing works
“Microcephaly is largely caused by mutations that disrupt genes encoding centrosomal proteins: MCPH1, ASPM, CDK5RAP2, CENPJ, STIL, WDR62, CEP152, and CEP63 (Bilguvar et al., 2010; Bond et al., 2002; Bond et al., 2005; Guernsey et al., 2010; Jackson et al., 2002; Kumar et al., 2009; Nicholas et al., 2010; Sir et al., 20…”
BackgroundAlternative splicing modulation by G-quadruplexes
Georgakopoulos‐Soares, I., Parada, G. E., Wong, H. Y., Medhi, R., Furlan, G., Munita, R., Miska, E. A., Kwok, C. K., & Hemberg, M. (2022) · Nature Communications · doi:10.1038/s41467-022-30071-7 · Cited by 124 · see citing works
Anything but Ordinary – Emerging Splicing Mechanisms in Eukaryotic Gene Regulation
Gehring, N. H., & Roignant, J. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.10.008 · Cited by 134 · see citing works
Gonatopoulos-Pournatzis, T., Wu, M., Braunschweig, U., Roth, J. F., Han, H. R., Best, A. J., Raj, B., Aregger, M., O’Hanlon, D., Ellis, J. D., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.10.008 · Cited by 119 · see citing works
“This microexon regulatory network is disrupted in the brains of approximately one-third of analyzed autistic subjects (Irimia et al., 2014), and individual microexons within the network have been linked to important neurodevelopmental and brain functions (Parras et al.”
BackgroundInfluentialSelf-citationFunnell, T., Tasaki, S., Oloumi, A., Araki, S., Kong, E., Yap, D., Nakayama, Y., Hughes, C. S., Cheng, S., Tozaki, H., et al. (2017) · Nature Communications · doi:10.1038/s41467-016-0008-7 · Cited by 138 · see citing works
Structural Basis for Teneurin Function in Circuit-Wiring: A Toxin Motif at the Synapse
Li, J., Shalev-Benami, M., Sando, R. C., Jiang, X., Kibrom, A., Wang, J., Leon, K., Katanski, C. D., Nazarko, O. V., Lu, Y. C., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.036 · Cited by 126 · see citing works
Alternative splicing: the pledge, the turn, and the prestige
Gallego-Paez, L. M., Bordone, M. C., Leote, A. C., Saraiva-Agostinho, N., Ascensão-Ferreira, M., & Barbosa‐Morais, N. L. (2017) · Human Genetics · doi:10.1007/s00439-017-1790-y · Cited by 133 · see citing works
“In fact, one of the most important roles of SRRM4 is the negative regulation of a transcriptional repressor of genes required for neurogenesis (REST).”
InfluentialStructural Basis for Regulation of GPR56/ADGRG1 by Its Alternatively Spliced Extracellular Domains
Salzman, G., Ackerman, S. D., Ding, C., Koide, A., Leon, K., Luo, R., Stoveken, H. M., Fernandez, C., Tall, G. G., Piao, X., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.022 · Cited by 128 · see citing works
DNA Methylation and Susceptibility to Autism Spectrum Disorder
Tremblay, M. W., & Jiang, Y. (2019) · Annual Review of Medicine · doi:10.1146/annurev-med-120417-091431 · Cited by 132 · see citing works
Perspective on Alternative Splicing and Proteome Complexity in Plants
Chaudhary, S., Jabre, I., Reddy, A. S. N., Staiger, D., & Syed, N. H. (2019) · Trends in Plant Science · doi:10.1016/j.tplants.2019.02.006 · Cited by 131 · see citing works
RNA-binding proteins in neurological development and disease
Prashad, S., & Gopal, P. P. (2020) · RNA Biology · doi:10.1080/15476286.2020.1809186 · Cited by 128 · see citing works
“dysregulation of RNA binding proteins [2-5].”
BackgroundRahimi, K., Venø, M. T., Dupont, D. M., & Kjems, J. (2021) · Nature Communications · doi:10.1038/s41467-021-24975-z · Cited by 142 · see citing works
PRMT inhibition induces a viral mimicry response in triple-negative breast cancer
Wu, Q., Nie, D. Y., Ba-Alawi, W., Ji, Y., Zhang, Z., Cruickshank, J., Haight, J., Ciamponi, F. E., Chen, J., Duan, S., et al. (2022) · Nature Chemical Biology · doi:10.1038/s41589-022-01024-4 · Cited by 126 · see citing works
Human Epistatic Interaction Controls IL7R Splicing and Increases Multiple Sclerosis Risk
Galarza-Muñoz, G., Briggs, F. B. S., Evsyukova, I. Y., Schott, G., Kennedy, E. M., Nyanhete, T. E., Wang, L., Bergamaschi, L., Widen, S. G., Tomaras, G. D., et al. (2017) · Cell · doi:10.1016/j.cell.2017.03.007 · Cited by 121 · see citing works
An oomycete plant pathogen reprograms host pre-mRNA splicing to subvert immunity
Huang, J., Gu, L., Zhang, Y., Yan, T., Kong, G., Kong, L., Guo, B., Qiu, M., Wang, Y., Jing, M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-02233-5 · Cited by 125 · see citing works
Gonatopoulos-Pournatzis, T., Niibori, R., Salter, E. W., Weatheritt, R. J., Tsang, B., Farhangmehr, S., Liang, X., Braunschweig, U., Roth, J. F., Zhang, S., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.01.006 · Cited by 119 · see citing works
“Srrm4, Srrm3, and Srsf11, but not GFP (analyzed as a negative control), form binding peaks proximally upstream of both microexons, supporting a direct role in their regulation (Figures 2C, 2D, S2D, and S2E; Gonatopoulos-Pournatzis et al., 2018; Irimia et al., 2014; Raj et al., 2014).”
BackgroundMethodResultInfluentialSelf-citationAltered expression of histamine signaling genes in autism spectrum disorder
Wright, C., Shin, J. H., Rajpurohit, A., Deep‐Soboslay, A., Collado‐Torres, L., Brandon, N. J., Hyde, T. M., Kleinman, J. E., Jaffe, A. E., Cross, A. J., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.87 · Cited by 120 · see citing works
Prenatal stress and the developing brain: Risks for neurodevelopmental disorders
den Bergh, B. R. H. V., Dahnke, R., & Mennes, M. (2018) · Development and Psychopathology · doi:10.1017/s0954579418000342 · Cited by 160 · see citing works
“mak, Vukšić, & Judaš, 2015) as well as changes in noncoding RNAs modulating gene expression/misregulation of genes expressed during early brain development (e.g., nSR100/ SRRM4; Irimia et al., 2014; Ziats et al., 2015).”
BackgroundMethodSingle-nuclei isoform RNA sequencing unlocks barcoded exon connectivity in frozen brain tissue
Hardwick, S. A., Hu, W., Joglekar, A., Fan, L., Collier, P. G., Foord, C., Balacco, J., Lanjewar, S., Sampson, M. M., Koopmans, F., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01231-3 · Cited by 119 · see citing works
Joglekar, A., Hu, W., Zhang, B., Narykov, O., Diekhans, M., Marrocco, J., Balacco, J., Ndhlovu, L. C., Milner, T. A., Fedrigo, O. D., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01616-4 · Cited by 122 · see citing works
“Exons in E3 and E5, that is, those with adult cell-type specificity regardless of earlier cell-type specificity, were markedly shorter, suggesting a link to microexons 29,41 .”
Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms
Walker, R. L., Ramaswami, G., Hartl, C., Mancuso, N., Gandal, M. J., de la Torre-Ubieta, L., Paşaniuc, B., Stein, J. L., & Geschwind, D. H. (2019) · Cell · doi:10.1016/j.cell.2019.09.021 · Cited by 259 · see citing works
Self-citationA novel protein domain in an ancestral splicing factor drove the evolution of neural microexons
Torres-Méndez, A., Bonnal, S., Márquez, Y., Roth, J. F., Iglesias, M., Permanyer, J., Almudí, I., O’Hanlon, D., Guitart, T., Soller, M., et al. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-019-0813-6 · Cited by 93 · see citing works
Self-citationThe Emerging Field of Epitranscriptomics in Neurodevelopmental and Neuronal Disorders
Angelova, M. T., Dimitrova, D. G., Dinges, N., Lenče, T., Worpenberg, L., Carré, C., & Roignant, J. (2018) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2018.00046 · Cited by 106 · see citing works
“…processing events in the brain, including the high rates of alternative splicing and recursive splicing (Duff et al., 2015; Sibley et al., 2015), the inclusion of microexons (Irimia et al., 2014) and the biogenesis of circular RNAs (cirRNAs) can all in principle be affected by RNA modifications.”
BackgroundCoexpression networks identify brain region–specific enhancer RNAs in the human brain
Yao, P., Lin, P., Gokoolparsadh, A., Assareh, A. A., Thang, M. W. C., & Voineagu, I. (2015) · Nature Neuroscience · doi:10.1038/nn.4063 · Cited by 91 · see citing works
Microexons: discovery, regulation, and function
Ustianenko, D., Weyn‐Vanhentenryck, S. M., & Zhang, C. (2017) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1418 · Cited by 98 · see citing works
“For example, during in vitro differentiation of mouse embryonic stem cells to glutamatergic excitatory neurons, 30% of exons go from near complete exclusion to near complete inclusion (or vice versa) and 69% show a change > 50%.(28) This includes the 12 nt microexon of the Enah gene [enabled homolog (Drosophila), a ph…”
BackgroundMethodInfluentialNeurodegenerative diseases: a hotbed for splicing defects and the potential therapies
Li, D., McIntosh, C. S., Mastaglia, F. L., Wilton, S. D., & Aung-Htut, M. T. (2021) · Translational Neurodegeneration · doi:10.1186/s40035-021-00240-7 · Cited by 96 · see citing works
“Several SRRM4-regulated micro-exons have demonstrated high levels of inclusion during neuronal maturation, which is directly correlated to the high levels of SRRM4 [58, 60, 61].”
BackgroundInfluentialExon Junction Complex Shapes the Transcriptome by Repressing Recursive Splicing
Blázquez, L., Emmett, W., Faraway, R., Pineda, J. M. B., Bajew, S., Gohr, A., Haberman, N., Sibley, C. R., Bradley, R. K., Irimia, M., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.09.033 · Cited by 84 · see citing works
Self-citationTranscriptomic Perspectives on Neocortical Structure, Development, Evolution, and Disease
Lein, E. S., Belgard, T. G., Hawrylycz, M., & Molnár, Z. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-013858 · Cited by 92 · see citing works
Häsler, R., Sheibani‐Tezerji, R., Sinha, A. N., Barann, M., Rehman, A., Esser, D., Aden, K., Knecht, C., Brandt, B., Nikolaus, S., et al. (2016) · Gut · doi:10.1136/gutjnl-2016-311651 · Cited by 91 · see citing works
Transcriptome-wide splicing network reveals specialized regulatory functions of the core spliceosome
Rogalska, M. E., Mancini, E., Bonnal, S., Gohr, A., Dunyak, B. M., Arecco, N., Smith, P. G., Vaillancourt, F. H., & Valcárcel, J. (2024) · Science · doi:10.1126/science.adn8105 · Cited by 102 · see citing works
Shah, S., Molinaro, G., Liu, B., Wang, R., Huber, K. M., & Richter, J. D. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.076 · Cited by 91 · see citing works
“Furthermore, a number of skipped exons in Fmr1 KO have been linked to neurological disorders such as autism (skipped microexon 4 in Cpeb4; Irimia et al., 2014; Parras et al., 2018; Quesnel-Vallières et al., 2016), Alzheimer’s disease (skipped exon 7 in APP; Fragkouli et al.”
BackgroundWaterhouse, L. H., London, E., & Gillberg, C. (2016) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-016-0085-x · Cited by 98 · see citing works
Risk factors diagnosis prognosis and treatment of autism
Al-Dewik, N. I. E. (2020) · Frontiers in bioscience · doi:10.2741/4873 · Cited by 111 · see citing works
RNA seq analysis for the diagnosis of muscular dystrophy
Gonorazky, H. D., Liang, M., Cummings, B. B., et al. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.267 · Cited by 85 · see citing works
Microexons: at the nexus of nervous system development, behaviour and autism spectrum disorder.
Gonatopoulos-Pournatzis, T., & Blencowe, B. (2020) · Current Opinion in Genetics and Development · doi:10.1016/j.gde.2020.03.007 · Cited by 69 · see citing works
“Functions of neuronal microexons As mentioned above, the vast majority of neuronal microexon coding sequences overlap with and preserve open reading frames [5,6,28].”
BackgroundInfluentialSelf-citationPorter, R. S., Jaamour, F., & Iwase, S. (2017) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2017.10.006 · Cited by 80 · see citing works
The Musashi 1 Controls the Splicing of Photoreceptor-Specific Exons in the Vertebrate Retina
Murphy, D., Cieply, B. W., Carstens, R. P., Ramamurthy, V., & Stoilov, P. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006256 · Cited by 81 · see citing works
“Characteristically, neurons broadly utilize microexons that are defined by different groups as being no longer than 27nt or 51nt [10,15].”
BackgroundGene architecture directs splicing outcome in separate nuclear spatial regions
Tammer, L., Hameiri, O., Keydar, I., Roy, V. R., Ashkenazy-Titelman, A., Custódio, N., Sason, I., Shayevitch, R., Rodríguez-Vaello, V., Rino, J., et al. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.02.001 · Cited by 80 · see citing works
Self-citationBerto, S., Usui, N., Konopka, G., & Fogel, B. L. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw110 · Cited by 80 · see citing works
Alternative splicing rewires Hippo signaling pathway in hepatocytes to promote liver regeneration
Bangru, S., Arif, W., Seimetz, J., Bhate, A., Chen, J., Rashan, E. H., Carstens, R. P., Anakk, S., & Kalsotra, A. (2018) · Nature Structural & Molecular Biology · doi:10.1038/s41594-018-0129-2 · Cited by 85 · see citing works
Ortiz-Sánchez, P., Villalba‐Orero, M., López-Olañeta, M. M., Larrasa-Alonso, J., Sánchez‐Cabo, F., Martí‐Gómez, C., Camafeita, E., Gómez-Salinero, J. M., Ramos-Hernández, L., Nielsen, P. J., et al. (2019) · Circulation Research · doi:10.1161/circresaha.118.314515 · Cited by 76 · see citing works
“28,29 Gene ontology categories and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways were downloaded from the Enrichr website, 28 and enrichment analysis of genes undergoing both differential expression or splicing was performed with one-sided Fisher tests and Benjamini-Hochberg False…”
Choi, Y., Nam, J., Whitcomb, D. J., Song, Y. S., Kim, D., Jeon, S., Um, J. W., Lee, S.-G., Woo, J., Kwon, S., et al. (2016) · Scientific Reports · doi:10.1038/srep26676 · Cited by 76 · see citing works
- Authors
- Irimia, M., Weatheritt, R. J., Ellis, J. D., Parikshak, N. N., Gonatopoulos-Pournatzis, T., Babor, M., Quesnel-Vallières, M., Tapial, J., Raj, B., O’Hanlon, D., Barrios-Rodiles, M., Sternberg, M. J. E., Cordes, S. P., Roth, F. P., Wrana, J. L., Geschwind, D. H., & Blencowe, B. J.
- Affiliations
- University of Toronto (CA)
- MRC Laboratory of Molecular Biology (GB)
- University of California, Los Angeles (US)
- Centre for Genomic Regulation (ES)
- Imperial College London (GB)
- Mount Sinai Hospital (CA)
- Canadian Institute for Advanced Research (CA)
- Corresponding author
- Irimia, Manuel
- Blencowe, Benjamin J.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 159
- Issue
- 7
- Pages
- 1511-1523
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4390143
- OpenAlex
- W2139480055
- Semantic Scholar
- 50b56e7b67ca01c7c25009821818d9e4a479c378
- Cited by
- 693
- References
- 117
- Citations by year
- 2026: 59 · 2025: 63 · 2024: 64 · 2023: 62 · 2022: 59 · 2021: 87 · 2020: 69 · 2019: 49 · 2018: 56 · 2017: 47 · 2016: 40 · 2015: 32 · 2014: 4 · 2013: 1
- FWCI
- 16.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (5r01mh094714-04)
- Canadian Institutes of Health Research
- National Institute of Mental Health (5R01MH094714, R01-MH094714, F30MH099886, R37MH060233)
- National Human Genome Research Institute (U01HG001715, R01HG003224, P50HG004233)
- National Institute of General Medical Sciences (T32GM008042)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- microexons, alternative splicing, autism spectrum disorder, SRRM4, neurogenesis, protein-protein interaction domains, evolutionary conservation, brain transcriptome
- MeSH terms
- Animals, Child Development Disorders, Pervasive, Humans, Models, Molecular, Nerve Tissue Proteins, Neurons, Temporal Lobe, Alternative Splicing, Sequence Analysis, RNA, Mice, Protein Interaction Domains and Motifs, Neurogenesis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
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