Loss of succinyl-CoA synthetase in mouse forebrain results in hypersuccinylation with perturbed neuronal transcription and metabolism
Open accessAbstract
Lysine succinylation is a subtype of protein acylation associated with metabolic regulation of succinyl-CoA in the tricarboxylic acid cycle. Deficiency of succinyl-CoA synthetase (SCS), the tricarboxylic acid cycle enzyme catalyzing the interconversion of succinyl-CoA to succinate, results in mitochondrial encephalomyopathy in humans. This report presents a conditional forebrain-specific knockout (KO) mouse model of Sucla2, the gene encoding the ATP-specific beta isoform of SCS, resulting in postnatal deficiency of the entire SCS complex. Results demonstrate that accumulation of succinyl-CoA in the absence of SCS leads to hypersuccinylation within the murine cerebral cortex. Specifically, increased succinylation is associated with functionally significant reduced activity of respiratory chain complex I and widescale alterations in chromatin landscape and gene expression. Integrative analysis of the transcriptomic data also reveals perturbations in regulatory networks of neuronal transcription in the KO forebrain. Together, these findings provide evidence that protein succinylation plays a significant role in the pathogenesis of SCS deficiency.
AI snapshot
Written from the paper’s full text.
TL;DR
This paper generates a postnatal forebrain-specific Sucla2 knockout mouse to model succinyl-CoA synthetase (SCS) deficiency without embryonic lethality. It shows that loss of SCS causes succinyl-CoA accumulation, widespread protein hypersuccinylation, reduced complex I activity, and altered chromatin/transcriptional regulation in the cerebral cortex.
Key findings
- Forebrain-specific Sucla2 KO reduced Sucla2 mRNA by 68% and produced 80%–90% reduction of the entire SCS complex at protein level, with 58% reduction in total SCS activity; succinyl-CoA increased 50% and methylmalonic acid increased 14-fold, without mtDNA depletion.
- Succinylation was globally increased: western blot showed a 100-fold increase in succinylated lysine, and in succinyl-IP proteomics 92% of quantified succinylated peptides were significantly hypersuccinylated; 2,176 peptides from 640 proteins had ≥2-fold abundance, out of 4,747 succinyl-modified peptides across 1,082 proteins.
- Mitochondrial complex I had 92 of 225 identified peptides significantly hypersuccinylated with average fold change 6, and complex I activity was reduced 40% on average with increased NADH/NAD+ ratio; complex V and citrate synthase were hypersuccinylated but showed no activity change.
- ATAC-seq found 431 of 5,495 enhancer regions and 4,839 of 22,317 promoter regions (~22%) with significantly altered accessibility; RNA-seq found significant expression changes in 13% of 24,421 mapped genes, and PECA indicated reduced activity of neuronal transcription factor networks including EGR and POU3 families.
Methods
- Conditional forebrain-specific Sucla2 knockout was generated using a CRISPR-Cas9 floxed Sucla2 allele and CamKIIα-Cre in C57Bl/6J mice; experiments used cerebral cortex from mutant and wild-type controls.
- The study combined qPCR/qRT-PCR, western blotting, immunohistochemistry, LC-MS/MS metabolite measurements, succinyl-lysine immunoprecipitation proteomics, global proteomics, RNA-seq, ATAC-seq, and PECA regulatory network analysis.
- Statistical analyses included two-tailed unpaired t-tests, one-way ANOVA with Tukey’s post-hoc tests, Pearson correlation, Fisher’s exact tests with Bonferroni correction, and FDR correction for omics datasets.
Limitations
- The paper states that data were collected from whole cortex, so contributions of other cell types cannot be specifically assessed; neuronal mtDNA depletion could be masked by other cell types, and single-cell technologies are suggested for future work.
- The paper states that whole-animal behavioral phenotyping and deeper analysis of total mitochondrial respiration are needed to link molecular/cellular findings to clinical phenotypes.
- Evident from the text: mechanisms linking hypersuccinylation to complex I dysfunction and chromatin changes remain unresolved, and the authors note that exact mechanisms require further investigation.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
12 of 18 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Homozygous loss-of-function variants in Sucla2 result in developmental lethality.
“homozygous loss-of-function variants in Sucla2 resulting in developmental lethality.7,14”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [7] Gut, 2020, SUCLA2 mutations cause global protein succinylation contributing to the pathomechanism of a hereditary mitochondrial disease, Nat. Commun. source
- cites [14] Donti, 2014, Screen for abnormal mitochondrial phenotypes in mouse embryonic stem cells identifies a model for succinyl-CoA ligase deficiency and mtDNA depletion, Dis. Model. Mech. source
- Premisecitation
The only reported mouse model of constitutive Sucla2 deficiency exhibits embryonic lethality.
“Currently, the only reported mouse model of constitutive Sucla2 deficiency exhibits embryonic lethality, demonstrating a continued need for an adult in vivo model of SCS deficiency.14”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [14] Donti, 2014, Screen for abnormal mitochondrial phenotypes in mouse embryonic stem cells identifies a model for succinyl-CoA ligase deficiency and mtDNA depletion, Dis. Model. Mech. source
The Results section reports that homozygous Sucla2 mutant embryos died late in gestation, with no live-born pups. The cited paper establishes embryonic lethality in its model, but the passages do not establish that it was the only reported mouse model of constitutive Sucla2 deficiency. No page number is available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Study design and conductcitation
The succinyllysine antibody used in this study exhibits little to no cross-reactivity to other acyl-species.
“the succinyllysine antibody used within this study has been shown to exhibit little to no cross-reactivity to these other acyl-species41”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [41] Head, 2022, Aberrant methylmalonylation underlies methylmalonic acidemia and is attenuated by an engineered sirtuin, Sci. Transl. Med. source
The Discussion describes weak or absent cross-reactivity of a methylmalonyllysine antibody with other acylated lysines. The Results describe an anti-malonyllysine antibody that does not cross-react with succinyllysine. Neither passage establishes the cross-reactivity of a succinyllysine antibody; searches for that antibody and its specificity found no such statement in our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measured
- Findingown data
2,176 peptides from 640 proteins have a 2-fold or greater abundance in the SCS-deficient cortex.
“Of the hypersuccinylated proteome, 2,176 peptides from 640 proteins had a 2-fold or greater abundance in the SCS-deficient cortex (Figure 3E, red).”
Quote in the paperSubstantial claim - Findingown data
Nearly all enriched pathways from the less-active TF-TG relationships were related to neuronal functions, including neuronal signaling, neurotransmitter release, and nervous system development.
“Nearly all enriched pathways were related to neuronal functions, including neuronal signaling, neurotransmitter release, and nervous system development”
Quote in the paperSubstantial claim
- Findingown data
Not all hypersuccinylated metabolic enzymes demonstrate functional changes in activity.
“In addition, not all hypersuccinylated metabolic enzymes demonstrate functional changes in activity.”
Quote in the paperNot a substantial claim - Findingown data
Forebrain-specific KO of Sucla2 results in complete survival of the KO mice.
“The spatial restriction of Sucla2 deficiency resulted in complete survival of the KO mice (Table S1)”
Quote in the paperSubstantial claim - Findingown data
There is a positive correlation between mutant-specific changes in accessibility of chromatin promoter regions and differentially expressed genes.
“a positive correlation (p < 0.0001) between mutant-specific changes in accessibility of chromatin promoter regions and differentially expressed genes is observed (Figures 5G and 5H).”
Quote in the paperSubstantial claim - Findingown data
Succinyl-CoA levels are increased by 50% in mutant cerebral cortex compared with controls.
“results indicate a 50% increase in mutant cellular concentrations of succinyl-CoA compared with controls (Figure 2D; Data S1).”
Quote in the paperSubstantial claim - Findingown data
Of the 20 most affected succinylation marks, 19 are in mitochondrial proteins.
“Of the 20 most affected succinylation marks (with highest KO:WT fold change [FC]), 19 are in mitochondrial proteins”
Quote in the paperSubstantial claim - Findingown data
On a proteomic level, 121 of the 145 differentially expressed mitochondrial proteins are upregulated in the mutant cortex.
“On a proteomic level, 121 of the 145 differentially expressed mitochondrial proteins are upregulated in the mutant cortex (Data S3).”
Quote in the paperNot a substantial claim - Findingown data
Mitochondrial complex I activity is reduced 40% on average in the mutant cortex.
“mitochondrial complex I activity is reduced 40% on average (Figure 4E).”
Quote in the paperSubstantial claim - Findingown data
ATAC-seq revealed genotype-specific clustering for changes in the chromatin landscape of both enhancer and promoter regions.
“Multidimensional scaling of both datasets revealed stark genotype-specific clustering for changes in the chromatin landscape of both enhancer and promoter regions (Figures 5A and 5C).”
Quote in the paperSubstantial claim - Findingreasoning
mtDNA depletion is not observed in the Sucla2-deficient mouse forebrain.
“mtDNA depletion is not observed in the Sucla2-deficient mouse forebrain.”
Quote in the paperSubstantial claim - Findingown data
The distributions of subcellular localizations are the same for all succinylated proteins identified regardless of enrichment.
“the distributions of subcellular localizations are the same for all succinylated proteins identified regardless of enrichment (Figure 3G)”
Quote in the paperSubstantial claim - Findingown data
Increased succinylation of mitochondrial complex I correlates with functionally significant deficiency of the enzymatic complex without global loss in protein abundance.
“increased succinylation of mitochondrial complex I correlates with functionally significant deficiency of the enzymatic complex without global loss in protein abundance (Figures 4E, 4F, and S4).”
- Also stated in: § Limitations of the study · boosted
“while the data presented clearly associate hypersuccinylation of mitochondrial complex I with functionally reduced enzymatic function”
Quote in the paperSubstantial claim - Also stated in: § Limitations of the study · boosted
- Findingown data
A large proportion of highly hypersuccinylated proteins with multiple succinylation sites are mitochondrial localized.
“Furthermore, a large proportion of highly hypersuccinylated proteins with multiple succinylation sites are mitochondrial localized (Figure 3H)”
Quote in the paperSubstantial claim - Findingown data
Increased mutant abundance of at least one succinylation mark was detected on each of the five major histone proteins (H1, H2A, H2B, H3, and H4) in the mutant cortex.
“Increased mutant abundance of at least one succinylation mark was detected on each of the five major histone proteins (H1, H2A, H2B, H3, and H4) in the mutant cortex (Figure 5I).”
Quote in the paperSubstantial claim - Findingown data
Targeted metabolomic analysis demonstrates altered amino acid and intermediate energy metabolism in the model.
“Targeted metabolomic analysis demonstrating altered amino acid and intermediate energy metabolism provide additional evidence of altered metabolism in the model (Figures 2C–2F).”
Quote in the paperSubstantial claim - Findingown data
Nearly half of the identified SCS-dependent changes in the succinylome are localized to mitochondrial proteins.
“with nearly half of the identified SCS-dependent changes in the succinylome localized to mitochondrial proteins”
Quote in the paperNot a substantial claim - Findingown data
Sucla2 gene expression is reduced by 68% in the mutant cerebral cortex compared with wild-type controls.
“molecular validation via qPCR confirmed a 68% reduction in Sucla2 gene expression in the mutant cerebral cortex when compared with wild-type (WT) controls (Figure 1B).”
Quote in the paperSubstantial claim - Findingown data
There are marked elevations in methylmalonic, succinyl (C4-DC), and propionyl (C3) acylcarnitines in the mutant cortex.
“marked elevations in methylmalonic and succinyl (C4-dicarboxylic of C4-DC) and propionyl (C3) acylcarnitines were observed (Figure 2F).”
Quote in the paperSubstantial claim - Findingown data
Hypersuccinylation of complex V and citrate synthase is not associated with changes in enzyme activities.
“hypersuccinylation of complex V (CV) and TCA cycle enzyme citrate synthase (CS) are not associated with changes in enzyme activities (Figures S3E and S3F).”
Quote in the paperSubstantial claim - Findingown data
There is a 14-fold increase in methylmalonic acid concentration in Sucla2-deficient cortex compared with WT controls.
“there is a 14-fold increase in the concentration of methylmalonic acid (MMA) measured in whole-cell lysates of Sucla2-deficient cortex compared with WT controls (Figure 2C; Data S1).”
Quote in the paperSubstantial claim - Findingnone given
The amino acids with significant changes in steady-state concentrations are directly involved in TCA cycle metabolism.
“Interestingly, the amino acids with significant changes in steady-state concentrations are directly involved in TCA cycle metabolism.”
Quote in the paperNot a substantial claim - Findingown data
92% of quantified succinylated peptides are significantly hypersuccinylated in the mutant cortex.
“92% of the quantified succinylated peptides were significantly (p < 0.05) hypersuccinylated in the mutant cortex (Figure 3E, blue and red).”
Quote in the paperSubstantial claim - Findingown data
Forebrain-specific KO of Sucla2 results in decreased protein expression of both SUCLG1 and SUCLG2 at levels comparable to SUCLA2 loss.
“western blot analysis indicates that forebrain-specific KO of Sucla2 results in decreased protein expression of both SUCLG1 and SUCLG2 at levels comparable to SUCLA2 loss (Figures 1C and 1D).”
Quote in the paperSubstantial claim - Findingown data
Four of the 13 hypersuccinylated lysines in NDUFV1 are among the most significantly enriched succinylation sites within the Sucla2-deficient cortex.
“4 of the 13 hypersuccinylated lysines in NDUFV1 are among the most significantly enriched succinylation sites within the Sucla2-deficient cortex (Figure 4A).”
Quote in the paperSubstantial claim - Findingown data
Succinylated lysine is increased 100-fold in Sucla2 mutant cortex by Western blot analysis.
“This hypothesis was confirmed via Western blot analysis showing a 100-fold increase of succinylated lysine in Sucla2 mutant cortex (Figures 3A, 3B, and S2).”
Quote in the paperSubstantial claim - Findingreasoning
The present research presents a viable adult mouse model of forebrain-specific homozygous Sucla2 deficiency.
“the present research presents a viable adult mouse model of forebrain-specific homozygous Sucla2 deficiency.”
Quote in the paperSubstantial claim - Findingown data
RNA-seq differential expression analysis shows a significant change in expression for 13% of the 24,421 total mapped genes.
“The DE analysis shows a significant (FDR < 0.05) change in expression for 13% of the 24,421 total mapped genes, clearly distinguishing mutant cortex from controls (Data S6; Figures 5E and 5F).”
Quote in the paperSubstantial claim - Findingown data
Succinylated proteins are enriched for mitochondrial localization.
“Succinylated proteins are enriched for mitochondrial localization (p < 0.0001, Figure S2C)”
Quote in the paperNot a substantial claim - Findingown data
There is an 80%-90% reduction of the entire SCS complex in the Sucla2−/− cerebral cortex.
“These data demonstrate significant post-transcriptional downregulation leading to 80%–90% reduction of the entire SCS complex in the Sucla2−/− cerebral cortex.”
Quote in the paperSubstantial claim - Findingown data
Total SCS activity is reduced by 58% in the mutant cortex.
“providing further evidence of significant reduction (58%) of total SCS activity.”
Quote in the paperSubstantial claim - Findingown data
Both mitochondrial and nuclear localized sirtuins with desuccinylase activity, SIRT5 and SIRT7, are upregulated.
“This idea is further evidenced by upregulation of both the mitochondrial and nuclear localized sirtuins with desuccinylase activity, SIRT5 and SIRT7 (Table S4).”
Quote in the paperNot a substantial claim - Findingown data
About 60% of the genes encoding subunits of ETC complexes are significantly upregulated in the mutant cortex.
“we see about 60% of the genes encoding subunits of ETC complexes are significantly (FDR < 0.05) upregulated in the mutant cortex (Figure S4)”
Quote in the paperSubstantial claim - Findingown data
The transcription factors with the largest reduction in TF-TG regulatory activities in the Sucla2 mutant cortex include members of the EGR and POU3 TF families.
“the TFs that had the largest reduction in TF-TG regulatory activities in the Sucla2 mutant cortex include members of the EGR and POU3 TF families”
Quote in the paperNot a substantial claim - Findingown data
Pathway analysis of genes with reduced expression revealed that neuronal pathways including nervous system development are downregulated in the SCS-deficient mice.
“pathway analysis of genes with reduced expression revealed that neuronal pathways including nervous system development are downregulated in the SCS-deficient mice”
Quote in the paperSubstantial claim - Findingown data
The skewing toward more closed chromatin is accompanied by computational evidence for an overall loss in neuronal transcriptional networks in the mutant forebrain.
“the skewing toward more closed chromatin is accompanied by computational evidence for an overall loss in neuronal transcriptional networks in the mutant forebrain (Figure 5L).”
Quote in the paperSubstantial claim - Findingnone given
mtDNA depletion is not present within the SUCLA2-deficient cortex.
“mtDNA depletion is not present within the SUCLA2-deficient cortex”
Quote in the paperNot a substantial claim - Findingown data
GO enrichment analysis of upregulated genes within the Sucla2 mutant cortex revealed increased metabolic pathways.
“while the GO enrichment analysis of upregulated genes within the Sucla2 mutant cortex revealed increased metabolic pathways”
Quote in the paperSubstantial claim - Interpretationreasoning
The functional deficit in complex I activity provides further evidence that hypersuccinylation is associated with ETC dysfunction in the context of SCS deficiency.
“Therefore, the functional deficit in complex I activity provides further evidence that hypersuccinylation is associated with ETC dysfunction in the context of SCS deficiency.”
Quote in the paperSubstantial claim - Interpretationown data
The mechanisms for SCS-related changes in the succinylome occur across the cell.
“suggesting that the mechanisms for SCS-related changes in the succinylome occur across the cell.”
Quote in the paperSubstantial claim - Interpretationreasoning
Hypersuccinylation has a significant effect on mitochondrial and metabolic processes.
“suggesting that hypersuccinylation has a significant effect on mitochondrial and metabolic processes.”
Quote in the paperSubstantial claim - Interpretationnone given
The conditional KO model allows for in vivo investigations of metabolic and molecular perturbations of Sucla2 deficiency without the confounding influence of OXPHOS defects caused by mtDNA depletion.
“this conditional KO model allows for in vivo investigations of metabolic and molecular perturbations of Sucla2 deficiency without the confounding influence of OXPHOS defects caused by mtDNA depletion.”
Quote in the paperNot a substantial claim - Interpretationown data
PECA analysis suggests an overall loss of transcriptional regulation in the Sucla2 KO model.
“suggesting an overall loss of transcriptional regulation in the Sucla2 KO model, which coincides with a skewing toward less-accessible promoter regions (Figure 5D).”
Quote in the paperSubstantial claim - Interpretationown data
Accumulation of succinyl-CoA in the absence of SCS leads to hypersuccinylation within the murine cerebral cortex.
“Results demonstrate that accumulation of succinyl-CoA in the absence of SCS leads to hypersuccinylation within the murine cerebral cortex.”
Quote in the paperSubstantial claim - Interpretationown data
Respiratory complex dysfunction is associated with severe hypersuccinylation.
“These results demonstrate a respiratory complex dysfunction associated with severe hypersuccinylation.”
Quote in the paperSubstantial claim - Interpretationnone given
Increased succinylation within this model is likely reliant on perturbations in the steady-state levels of succinyl-CoA generated by the TCA cycle.
“the increased succinylation within this model is likely reliant on perturbations in the steady-state levels of succinyl-CoA generated by the TCA cycle.”
Quote in the paperSubstantial claim - Interpretationown data
Succinylation can lead to functional changes in enzyme activity in an enzyme-specific manner.
“Therefore, succinylation can lead to functional changes in enzyme activity. The changes occur in an enzyme-specific manner, however, indicating that the effect of succinylation on protein function is complex”
Quote in the paperSubstantial claim - Interpretationown data
Knockdown of Sucla2 by neuron-specific cre-recombination leads to SCS loss within the neurons of the forebrain.
“These data suggest that the knockdown of Sucla2 by neuron-specific cre-recombination16 leads to SCS loss within the neurons of the forebrain.”
Quote in the paperSubstantial claim - Interpretationown data
Protein succinylation plays a significant role in the pathogenesis of SCS deficiency.
“Together, these findings provide evidence that protein succinylation plays a significant role in the pathogenesis of SCS deficiency.”
Quote in the paperSubstantial claim - Interpretationown data
Inhibition of the N-module may be a likely mechanism of complex I deficiency.
“These data suggest that inhibition of the N-module may be a likely mechanism of complex I deficiency; however, identifying the exact mechanism requires further investigation.”
Quote in the paperSubstantial claim - Interpretationown data
The metabolic profile of the SCS-deficient model mirrors the molecular hallmarks of human SCS deficiency, including methylmalonic aciduria and elevations of C3 and C4-DC acyl-carnitines.
“the metabolic profile of the SCS-deficient model (Figures 2C and 2F) mirrors the molecular hallmarks of human SCS deficiency, including methylmalonic aciduria and elevations of C3 and C4-DC acyl-carnitines.13,20,34”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [13] Carrozzo, 2007, SUCLA2 mutations are associated with mild methylmalonic aciduria, Leigh-like encephalomyopathy, dystonia and deafness, Brain source
- cites [20] Ostergaard, 2007, Mitochondrial encephalomyopathy with elevated methylmalonic acid is caused by SUCLA2 mutations, Brain source
- cites [34] Jaberi, 2013, The novel mutation p.Asp251Asn in the beta-subunit of succinate-CoA ligase causes encephalomyopathy and elevated succinylcarnitine, J. Hum. Genet. source
- Interpretationown data
The data suggest the possibility of increased mitochondrial biogenesis within the Sucla2 mutant cortex.
“These data, along with the increased mtDNA content (Figure 2B), suggest the possibility of increased mitochondrial biogenesis within the Sucla2 mutant cortex.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Changes in the transcriptome resulting from SCS deficiency appear to result from a complex and dynamic interaction of multiple regulatory mechanisms.
“changes in the transcriptome resulting from SCS deficiency appear to result from a complex and dynamic interaction of multiple regulatory mechanisms that require further study.”
Quote in the paperNot a substantial claim - Interpretationnone given
Evidence suggests that increased succinylation is involved in the pathogenesis of SCS deficiency.
“Evidence suggests that increased succinylation is involved in the pathogenesis of SCS deficiency.”
Quote in the paperSubstantial claim - Study design and conductown data
The data presented in this study were collected within the whole cortex, so the contribution of and consequences to other cell types within the Sucla2 mutant forebrain cannot be specifically assessed with the datasets described.
“this study is limited in that the data presented herein were collected within the whole cortex. Therefore, the contribution of and consequences to other cell types within the Sucla2 mutant forebrain cannot be specifically assessed with the datasets described.”
Quote in the paperNot a substantial claim - Interpretationnone given
In this model, hypersuccinylation is associated, at least in part, to perturbations in cellular energy metabolism.
“In this model, hypersuccinylation is associated, at least in part, to perturbations in cellular energy metabolism.”
Quote in the paperSubstantial claim - Interpretationown data
Loss of SCS has significant consequences on neuronal cell health.
“these results suggest that loss of SCS has significant consequences on neuronal cell health.”
Quote in the paperSubstantial claim - Interpretationreasoning
This mouse model presents forebrain-specific SUCLA2 deficiency with metabolic, biochemical, and functional hallmarks reflective of clinical phenotypes in humans.
“Ultimately, this mouse model presents forebrain-specific SUCLA2 deficiency with metabolic, biochemical, and functional hallmarks reflective of clinical phenotypes in humans”
Quote in the paperSubstantial claim- Rests on an assumption: Pathogenic variants in SCS cause a severe mitochondrial disorder for which the pathomechanisms are incompletely understood.
- Interpretationown data
SCS loss may also affect neuronal pathways directly involved in encephalopathic pathogenesis.
“suggesting that, in addition to metabolic dysfunction, SCS loss may also affect neuronal pathways directly involved in encephalopathic pathogenesis (Data S4).”
Quote in the paperSubstantial claim - Interpretationown data
Remodeling of the chromatin landscape and an altered transcriptomic profile links Sucla2 mutations to loss of neuronal transcriptional regulation.
“remodeling of the chromatin landscape and an altered transcriptomic profile links Sucla2 mutations to loss of neuronal transcriptional regulation, revealing another mechanism for potential neuronal dysfunction in SCS deficiency.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 17
- May combine two claims. 21
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHypersuccinylation is a molecular phenotype in SUCLA2−/− patient fibroblasts and is recapitulated in sucla2−/− zebrafish larvae by 7 days post-fertilization.
“hypersuccinylation was reported as a molecular phenotype in SUCLA2−/− patient fibroblasts, which was recapitulated in sucla2−/− zebrafish larvae by 7 days post-fertilization.7”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [7] Gut, 2020, SUCLA2 mutations cause global protein succinylation contributing to the pathomechanism of a hereditary mitochondrial disease, Nat. Commun. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVariants in NDUFAF1 and ACAD9 are associated with complex I deficiency in humans.
“Variants in both assembly factors are associated with complex I deficiency in humans.39”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [39] Mimaki, 2012, Understanding mitochondrial complex I assembly in health and disease, Biochim. Biophys. Acta source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAn emerging body of literature provides evidence for the presence of anaplerotic enzymes outside of the mitochondria, including SCS.
“an emerging body of literature provides evidence for the presence of anaplerotic enzymes outside of the mitochondria, including SCS.44,45”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [44] Trefely, 2020, Compartmentalised acyl-CoA metabolism and roles in chromatin regulation, Mol. Metabol. source
The Succinyl-CoA generation section (page unavailable) reports nuclear localization of the OGDH complex and discusses possible cytosolic succinyl-CoA production. But it describes succinyl-CoA synthase (SCS, termed SUCL in the paper) as acting in the mitochondrial TCA cycle; it does not provide evidence that SCS is present outside mitochondria. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [45] Liu, 2021, The existence of a nonclassical TCA cycle in the nucleus that wires the metabolic-epigenetic circuitry, Signal Transduct. Targeted Ther. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the vast majority of studies to date, histone succinylation is associated with the opening of chromatin and increased gene transcription.
“In the vast majority of these studies to date, histone succinylation is associated with the opening of chromatin and increased gene transcription.”
Quote in the paperNot a substantial claim4 of 4 sources checked- cites [27] Liu, 2021, Histone succinylation and its function on the nucleosome, J. Cell Mol. Med. source
The section on changes in nucleosome structure (page unavailable) says histone succinylation weakens DNA–histone binding and can contribute to transcription; it also reports a correlation between promoter succinylation and transcriptional activity. But it limits the mechanistic evidence to in vitro experiments and does not establish that the vast majority of studies find both chromatin opening and increased transcription. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [42] Wang, 2017, KAT2A coupled with the alpha-KGDH complex acts as a histone H3 succinyltransferase, Nature source
The paper’s main text (indexed under Abstract; page unavailable) links H3K79 succinylation at gene promoters with expression of selected genes, and reports reduced expression when the succinylation pathway is disrupted. It does not establish that succinylation opens chromatin or that this association holds in the vast majority of studies. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [46] Jing, 2020, Semisynthesis of site-specifically succinylated histone reveals that succinylation regulates nucleosome unwrapping rate and DNA accessibility, Nucleic Acids Res. source
The Introduction and Results and Discussion (page not supplied) report that H4K77 succinylation increases nucleosomal DNA accessibility; the succinylation-mimicking mutation also disrupts telomere silencing in yeast. The paper does not establish that the vast majority of studies find increased gene transcription, and its direct succinylation experiments do not measure transcription. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [47] Zorro Shahidian, 2021, Succinylation of H3K122 destabilizes nucleosomes and enhances transcription, EMBO Rep. source
The Abstract reports that H3K122 succinylation stimulates transcription, and Results and Discussion (‘Succinylation of H3K122 decreases nucleosome stability’; page not provided) links it to increased DNA accessibility. The paper studies this specific modification; it does not establish that the vast majority of histone-succinylation studies find the same association. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe mutant cortex shows increased glutamate and taurine and decreased aspartate, glutamine, and asparagine.
“The results demonstrate a mutant-specific increase in glutamate and taurine amino acids and a decrease in aspartate, glutamine, and asparagine (Figure 2E).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 1,140 mitochondrial localized proteins identified by MitoCarta, 365 (32%) show differential (FDR < 0.05) gene expression, with 354 (97%) being upregulated.
“of 1,140 mitochondrial localized proteins identified by MitoCarta, 365 (32%) show differential (FDR < 0.05) gene expression, with 354 (97%) being upregulated (Data S6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown datamtDNA depletion is not observed in the Sucla2−/− cerebral cortex; rather, there is a slight elevation in mtDNA copy number.
“mtDNA depletion is not observed in the Sucla2−/− cerebral cortex; rather, there is a slight elevation in mtDNA copy number (Figure 2B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 5,495 enhancer regions analyzed, 431 showed significantly altered chromatin accessibility in the mutant cortex, with 144 having an absolute FC of 2 or higher.
“Of 5,495 enhancer regions analyzed, 431 showed significantly altered chromatin accessibility (p < 0.05) in the mutant cortex, with 144 having an absolute FC of 2 or higher (Figure 5B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataADP-specific SCS activity is reduced by 50% and GDP-specific activity by 72% in the mutant cortex compared with WT controls.
“the enzymatic data show a 50% reduction in ADP-specific activity and a 72% reduction in GDP-specific activity in the mutant cortex compared with WT controls”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTCA cycle and ETC pathways are significantly enriched in the hypersuccinylated dataset.
“These pathways are also significantly enriched (FDR < 0.05) as determined by gene ontology (GO) enrichment analysis for biological processes (Figure 4B; Data S4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth ATP synthase (CV) and CS are highly hypersuccinylated in the mutant cortex, but there is no observed alteration in activity in either enzyme.
“Both ATP synthase (CV) and CS are highly hypersuccinylated in the mutant cortex (Figures 4C and 4D); however, there is no observed alteration in activity in either enzyme (Figures S3E and S3F).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf 22,317 promoter regions analyzed, 4,839 exhibited significantly altered chromatin accessibility; 436 had an absolute FC of 2 or higher, with slight skewing toward less-accessible promoters.
“For 22,317 promoter regions analyzed, nearly 22% (4,839) exhibited significantly altered chromatin accessibility (p < 0.05). Of those altered promoters, 436 had an absolute FC of 2 or higher, with slight skewing toward less-accessible promoter regions as a result of Sucla2 deficiency in the mutant cortex (Figure 5D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe three core subunits of the N-module, NDUFS1, NDUFB1, and NDUFV2, all have at least three hypersuccinylated lysine residues in the mutant cortex, with NDUFS1 and NDUFV1 having 18 and 13 sites, respectively.
“The three core subunits of the N-module, NDUFS1, NDUFB1, and NDUFV2 all have at least three hypersuccinylated lysine residues in the mutant cortex, with NDUFS1 and NDUFV1 having 18 and 13 sites, respectively (Data S2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSUCLA2 is reduced by 59% in cerebral cortex neurons and 69% in hippocampus neurons of Sucla2 mutants compared with controls.
“immunohistochemical (IHC) analysis co-staining for neuronal marker NeuN and SUCLA2 reveals marked (p < 0.0001) reduction of SUCLA2 within the neurons of the cerebral cortex (59% reduction) and hippocampus (69% reduction) of Sucla2 mutants compared with control mice (Figures 1E–1H).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGO enrichment analysis of RNA-seq data shows transcriptomic upregulation of metabolic pathways such as TCA and ETC, with upregulation of over 60% of the genes found within the ETC.
“the data also show enrichment for transcriptomic upregulation of these pathways via GO enrichment analysis of the RNA-seq data (Data S4), with upregulation of over 60% of the genes found within the ETC (Figure S4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data20% of SCS-deficient hypersuccinylated proteins are in the nucleus and 11% are in the cytosol.
“20% of SCS-deficient hypersuccinylated proteins are in the nucleus, and 11% are found within the cytosol.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGlobal proteomics identified 6265 protein groups, 43441 peptide groups and 109945 PSMs.
“Global proteomics identified 6265 protein groups, 43441 peptide groups and 109945 PSMs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe Sucla2−/− cortex shows global changes in chromatin accessibility in both enhancer and promoter regions, with a skewing toward less-accessible promoter regions.
“The data described in this report reveal global changes in chromatin accessibility in both enhancer and promoter regions in the Sucla2−/− cortex, with a skewing toward less-accessible promoter regions (Figures 5A–5D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIHC staining of neuronal marker NeuN and microglial marker IBA1 revealed neuronal cell loss accompanied by microgliosis within the SUCLA2-deficient hippocampal area.
“IHC staining of neuronal marker NeuN and microglial marker IBA1 revealed neuronal cell loss accompanied by microgliosis within the SUCLA2-deficient hippocampal area (Figure S5).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSuccinyl proteomics identified 4747 succinyl modified peptides out of a total of 21040 peptides identified in the experiment.
“Succinyl Proteomics identified 4747 succinyl modified peptides out of a total of 21040 peptides identified in the experiment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBiallelic mutations in both SUCLG1 and SUCLA2 are associated with mitochondrial encephalomyopathy in human patients, with typical onset in early childhood.
“Biallelic mutations in both SUCLG1 and SUCLA2 have been associated with mitochondrial encephalomyopathy in human patients, with a typical onset in early childhood.11”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Carrozzo, 2016, Succinate-CoA ligase deficiency due to mutations in SUCLA2 and SUCLG1: phenotype and genotype correlations in 71 patients, J. Inherit. Metab. Dis. source
May combine two claims.
Interpretationown dataSCS-related changes in the succinylome are enriched but not restricted to the mitochondrion.
“All together, these results suggest that SCS-related changes in the succinylome are certainly enriched but not restricted to the mitochondrion.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCombined ATAC-seq and RNA-seq analyses reveal changes in the global chromatin landscape, histone hypersuccinylation, and a loss of regulation of transcriptional networks that may impact neuron development and neuronal function in the Sucla2 mutant cortex.
“the combined analysis of the ATAC-seq and RNA-seq datasets reveal, in the Sucla2 mutant cortex, changes in the global chromatin landscape, hypersuccinylation of histones, and a loss of regulation of transcriptional networks that may have a large impact on neuron development and neuronal function.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataUpregulation of mitochondrial pathways may provide evidence for a protective mechanism and may be an attempt at compensating for the impaired mitochondrial function observed within the SCS-deficient model.
“The upregulation of mitochondrial pathways may provide evidence for a protective mechanism and may be an attempt at compensating for the impaired mitochondrial function observed within the SCS-deficient model herein.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe results in the mouse cortex agree with Sadhukhan et al. that there is no change in either CS or CV activity in the mouse heart despite hypersuccinylation in the absence of Sirt5 desuccinylase activity.
“the results presented in the mouse cortex agree with that of Sadhukhan et al.,38 which demonstrated no change in either CS or CV activity in the mouse heart, despite hypersuccinylation in the absence of Sirt5 desuccinylase activity.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sadhukhan et al.,38
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSUCLA2 is the predominant β-isoform in the mouse brain.
“which is consistent with the literature reporting SUCLA2 as the predominant β-isoform in the mouse brain.18”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Lambeth, 2004, Expression of two succinyl-CoA synthetases with different nucleotide specificities in mammalian tissues, J. Biol. Chem. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll datasets were subject to a Shapiro-Wilk test for normalization and Grubb's outlier test with an alpha cutoff of 0.05, and any identified outliers were removed.
“All datasets were subject to a Shapiro-Wilk test for normalization and Grubb’s outlier test with an alpha cutoff of 0.05, and any identified outliers were removed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenLysine-succinylation outside of the mitochondria likely has biological effects beyond mitochondrial metabolism.
“Nevertheless, lysine-succinylation outside of the mitochondria likely has biological effects beyond mitochondrial metabolism that warrant further investigation.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Extra-mitochondrial levels of SCS are also perturbed by the conditional Sucla2 recombination.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAll RNA samples had good quality with RIN greater than 8.
“All the samples had good quality with RIN (RNA Integrity Number) greater than 8.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataNo statistical influence of sex was observed.
“Where both males and females were used, no statistical influence of sex was observed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll experiments were approved by the Institutional Animal Care and Use Committee (IACUC) at Indiana University.
“All experiments were approved by the Institutional Animal Care and Use Committee (IACUC) at Indiana University.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenWhere indicated, western blots, PCR experiments, and enzymatic assays were repeated at least twice independently, and data are pooled and normalized to the average of the experimental control group where indicated.
“Where indicated, western blots, PCR experiments, and enzymatic assays were repeated at least twice independently, and data are pooled and normalized to the average of the experimental control group where indicated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThis work is limited in the investigation of how total mitochondrial respiration is affected.
“this work is limited in the investigation of how total mitochondrial respiration is affected.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenCorrection for multiple testing via false discovery rates was applied to the large -omics datasets.
“Correction for multiple testing via false discovery rates were also applied to the large -omics datasets.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningPartial mtDNA depletion within neurons may be masked by mtDNA content within other cell types.
“partial depletion within neurons may be masked by mtDNA content within other cell types.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Extra-mitochondrial levels of SCS are also perturbed by the conditional Sucla2 recombination.
“Assuming that extra-mitochondrial levels of SCS are also perturbed by the conditional Sucla2 recombination”
The paper relies on this without support.
Pathogenic variants in SCS cause a severe mitochondrial disorder for which the pathomechanisms are incompletely understood.
“Pathogenic variants in SCS cause a severe mitochondrial disorder for which the pathomechanisms are incompletely understood.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Succinyl-proteomics input amounts differ by a factor of 1,000
MinorThe sample-preparation methods state that the succinyl-IP workflow used 1500 mg of protein per sample, while the enrichment step describes 1500 μg of digested peptides. These are markedly different stated input amounts for the same workflow.
“the succinyl-IP proteomics workflow utilized 1500 mg equivalent of protein from each sample”
“An estimated 1500μg of Trypsin-digested peptides were resuspended in 200μL IP-buffer”
RNA-seq reference genome is called human and mouse
MinorThe RNA-seq methods call UCSC mm10 a human genome, whereas the ATAC-seq methods identify mm10 as a mouse reference genome.
“All sequenced libraries were mapped to the human genome (UCSC mm10)”
“The resulting high-quality reads were aligned to the mouse reference genome mm10”
SUCLA2 is identified as both an α and a β subunit
MinorThe abstract identifies SUCLA2 as the ATP-specific β isoform of SCS, but the introduction says SUCLA2 encodes its α subunit.
“Sucla2, the gene encoding the ATP-specific beta isoform of SCS”
“mutations in SUCLA2, encoding α subunit of the TCA cycle enzyme, succinyl-CoA synthetase (SCS)”
Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888 · see citing works
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709 · see citing works
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219 · see citing works
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386 · see citing works
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288 · see citing works
STRING v10: protein–protein interaction networks, integrated over the tree of life
Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D., Huerta-Cepas, J., Simonovic, M., Roth, A., Santos, A., Tsafou, K. P., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1003 · Cited by 10,436 · see citing works
deepTools2: a next generation web server for deep-sequencing data analysis
Ramírez, F., Ryan, D. P., Grüning, B., Bhardwaj, V., Kilpert, F., Richter, A. S., Heyne, S., Dündar, F., & Manke, T. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw257 · Cited by 8,096 · see citing works
McCarthy, D. J., Chen, Y., & Smyth, G. K. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks042 · Cited by 5,195 · see citing works
CellProfiler 3.0: Next-generation image processing for biology
McQuin, C., Goodman, A., Chernyshev, V. S., Kamentsky, L. D., Cimini, B. A., Karhohs, K. W., Doan, M., Ding, L., Rafelski, S. M., Thirstrup, D. J., et al. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2005970 · Cited by 1,835 · see citing works
Subregion- and Cell Type–Restricted Gene Knockout in Mouse Brain
Tsien, J. Z., Chen, D. F., Gerber, D., Tom, C., Mercer, E. H., Anderson, D. J., Mayford, M., Kandel, E. R., & Tonegawa, S. (1996) · Cell · doi:10.1016/s0092-8674(00)81826-7 · Cited by 1,280 · see citing works
Self-citation50 years of protein acetylation: from gene regulation to epigenetics, metabolism and beyond
Verdin, E. M., & Ott, M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3931 · Cited by 876 · see citing works
Reactome pathway analysis: a high-performance in-memory approach
Fabregat, A., Sidiropoulos, K., Viteri, G., Forner, O., Marín-García, P., Arnau, V., D’Eustachio, P., Stein, L. D., & Hermjakob, H. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1559-2 · Cited by 859 · see citing works
KAT2A coupled with the α-KGDH complex acts as a histone H3 succinyltransferase
Wang, Y., Guo, Y. R., Liu, K., Yin, Z., Liu, R., Xia, Y., Tan, L., Yang, P., Lee, J.-H., Li, X.-J., et al. (2017) · Nature · doi:10.1038/nature25003 · Cited by 567 · see citing works
Self-citationO’Donovan, K. J., Tourtellotte, W. G., Milbrandt, J., & Baraban, J. M. (1999) · Trends in Neurosciences · doi:10.1016/s0166-2236(98)01343-5 · Cited by 457 · see citing works
Li, J., Vranken, J. G. V., Vaites, L. P., Schweppe, D. K., Huttlin, E. L., Etienne, C. L., Nandhikonda, P., Viner, R., Robitaille, A. M., Thompson, A. H., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0781-4 · Cited by 449 · see citing works
PCR Based Determination of Mitochondrial DNA Copy Number in Multiple Species
Rooney, J. P., Ryde, I. T., Sanders, L. H., Howlett, E. H., Colton, M. D., Germ, K. E., Mayer, G. D., Greenamyre, J. T., & Meyer, J. N. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1875-1_3 · Cited by 439 · see citing works
Metabolic Regulation by Lysine Malonylation, Succinylation, and Glutarylation
Hirschey, M. D., & Zhao, Y. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r114.046664 · Cited by 423 · see citing works
Understanding mitochondrial complex I assembly in health and disease
Mimaki, M., Wang, X., McKenzie, M., Thorburn, D. R., & Ryan, M. T. (2012) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2011.08.010 · Cited by 420 · see citing works
Sadhukhan, S., Liu, X., Ryu, D., Nelson, O. D., Stupinski, J. A., Li, Z., Chen, W., Zhang, S., Weiss, R. S., Locasale, J. W., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1519858113 · Cited by 376 · see citing works
Carrico, C., Meyer, J. G., He, W., Gibson, B. W., & Verdin, E. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.01.016 · Cited by 331 · see citing works
Elpeleg, O., Miller, C., Hershkovitz, E., Bitner-Glindzicz, M., Bondi-Rubinstein, G., Rahman, S., Pagnamenta, A., Eshhar, S., & Saada, A. (2005) · American Journal of Human Genetics · doi:10.1086/430843 · Cited by 323 · see citing works
Illuminating the dark phosphoproteome
Needham, E. J., Parker, B. L., Burykin, T., James, D. E., & Humphrey, S. J. (2019) · Science Signaling · doi:10.1126/scisignal.aau8645 · Cited by 322 · see citing works
Mouse Cre-LoxP system: general principles to determine tissue-specific roles of target genes
Kim, H., Kim, M., Im, S.-K., & Fang, S. (2018) · Laboratory Animal Research · doi:10.5625/lar.2018.34.4.147 · Cited by 283 · see citing works
NGSUtils: a software suite for analyzing and manipulating next-generation sequencing datasets
Breese, M. R., & Liu, Y. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts731 · Cited by 278 · see citing works
Self-citationWeinert, B. T., Wagner, S., Horn, H., Henriksen, P., Liu, W. R., Olsen, J. V., Jensen, L. J., & Choudhary, C. (2011) · Science Signaling · doi:10.1126/scisignal.2001902 · Cited by 275 · see citing works
Weak functional constraints on phosphoproteomes
Landry, C. R., Levy, E. D., & Michnick, S. W. (2009) · Trends in Genetics · doi:10.1016/j.tig.2009.03.003 · Cited by 272 · see citing works
Compartmentalised acyl-CoA metabolism and roles in chromatin regulation
Trefely, S., Lovell, C. D., Snyder, N. W., & Wellen, K. E. (2020) · Molecular Metabolism · doi:10.1016/j.molmet.2020.01.005 · Cited by 272 · see citing works
Mitochondrial sirtuins: regulators of protein acylation and metabolism
He, W., Newman, J. C., Wang, M. Z., Ho, L., & Verdin, E. (2012) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2012.07.004 · Cited by 262 · see citing works
Carrozzo, R., Dionisi-Vici, C., Steuerwald, U., Lucioli, S., Deodato, F., Di Giandomenico, S., Bertini, E., Franke, B., Kluijtmans, L. A. J., Meschini, M. C., et al. (2007) · Brain · doi:10.1093/brain/awl389 · Cited by 208 · see citing works
Newman, J. C., He, W., & Verdin, E. M. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.r112.404863 · Cited by 207 · see citing works
Mitochondrial encephalomyopathy with elevated methylmalonic acid is caused by SUCLA2 mutations
Ostergaard, E., Hansen, F. J., Sorensen, N., Duno, M., Vissing, J., Larsen, P. L., Faeroe, O., Thorgrimsson, S., Wibrand, F., Christensen, E., et al. (2007) · Brain · doi:10.1093/brain/awl383 · Cited by 188 · see citing works
Carnitine Palmitoyltransferase 1A Has a Lysine Succinyltransferase Activity
Kurmi, K., Hitosugi, S., Wiese, E. K., Boakye‐Agyeman, F., Gonsalves, W. I., Lou, Z., Karnitz, L. M., Goetz, M. P., & Hitosugi, T. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.030 · Cited by 186 · see citing works
Modeling gene regulation from paired expression and chromatin accessibility data
Duren, Z., Chen, X., Jiang, R., Wang, Y., & Wong, W. (2017) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1704553114 · Cited by 171 · see citing works
Self-citationSmestad, J. A., Erber, L. N., Chen, Y., & Maher, L. J. (2018) · iScience · doi:10.1016/j.isci.2018.03.012 · Cited by 153 · see citing works
Lambeth, D. O., Tews, K. N., Adkins, S., Frohlich, D., & Milavetz, B. I. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m406884200 · Cited by 138 · see citing works
Altered succinylation of mitochondrial proteins, APP and tau in Alzheimer’s disease
Yang, Y. S., Tapias, V., Acosta, D. M., Xu, H., Chen, H., Bhawal, R. P., Anderson, E. T., Ivanova, E., Lin, H., Sagdullaev, B. T., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27572-2 · Cited by 131 · see citing works
Non-functional phosphorylations?
Lienhard, G. E. (2008) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2008.05.004 · Cited by 130 · see citing works
Kowluru, A., Tannous, M., & Chen, H. (2002) · Archives of Biochemistry and Biophysics · doi:10.1006/abbi.2001.2710 · Cited by 121 · see citing works
Temporally controlled targeted somatic mutagenesis in skeletal muscles of the mouse
Schuler, M. J., Ali, F., Metzger, E., Chambon, P., & METZGER, D. (2005) · genesis · doi:10.1002/gene.20107 · Cited by 101 · see citing works
Liu, X., Si, W., He, L., Yang, J., Peng, Y., Ren, J., Liu, X., Jin, T., Yu, H., Zhang, Z., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00774-2 · Cited by 97 · see citing works
Self-citationSuccinylation of H3K122 destabilizes nucleosomes and enhances transcription
Zorro Shahidian, L., Haas, M., Le Gras, S., Nitsch, S., Mourão, A., Geerlof, A., Margueron, R., Michaelis, J., Daujat, S., & Schneider, R. (2021) · The EMBO Reports · doi:10.15252/embr.202051009 · Cited by 92 · see citing works
Carrozzo, R., Verrigni, D., Rasmussen, M., de Coo, R., Amartino, H., Bianchi, M., Buhas, D., Mesli, S., Naess, K., Born, A. P., et al. (2016) · Journal of Inherited Metabolic Disease · doi:10.1007/s10545-015-9894-9 · Cited by 90 · see citing works
Histone succinylation and its function on the nucleosome
Liu, J., Shangguan, Y., Tang, D., & Dai, Y. (2021) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.16676 · Cited by 87 · see citing works
Prinsen, H., de Graaf, R. A., Mason, G. F., Pelletier, D., & Juchem, C. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25356 · Cited by 84 · see citing works
Gut, P., Matilainen, S., Meyer, J. G., Pällijeff, P., Richard, J., Carroll, C. J., Euro, L., Jackson, C. B., Isohanni, P., Minassian, B. A., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19743-4 · Cited by 83 · see citing works
Comparative analysis of single-stranded DNA donors to generate conditional null mouse alleles
Lanza, D. G., Gaspero, A., Lorenzo, I., Liao, L., Zheng, P., Wang, Y., Deng, Y., Cheng, C., Zhang, C., Seavitt, J. R., et al. (2018) · BMC Biology · doi:10.1186/s12915-018-0529-0 · Cited by 79 · see citing works
Self-citationAn Expanding Repertoire of Protein Acylations
Xu, Y., Shi, Z., & Bao, L. (2022) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2022.100193 · Cited by 78 · see citing works
Zhang, M., Wu, J., Sun, R., Tao, X., Wang, X., Kang, Q., Wang, H., Zhang, L., Liu, P., Zhang, J., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0211796 · Cited by 72 · see citing works
A versatile toolbox for semi-automatic cell-by-cell object-based colocalization analysis
Lunde, A., & Glover, J. C. (2020) · Scientific Reports · doi:10.1038/s41598-020-75835-7 · Cited by 70 · see citing works
Jing, Y., Ding, D., Tian, G., Kwan, K. C. J., Liu, Z., Ishibashi, T., & Li, X. D. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa663 · Cited by 62 · see citing works
Head, P. E., Myung, S., Chen, Y., Schneller, J. L., Wang, C., Duncan, N., Hoffman, P., Chang, D., Gebremariam, A., Gucek, M., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abn4772 · Cited by 52 · see citing works
Methylmalonic acid quantification in low serum volumes by UPLC–MS/MS
Pedersen, T. L., Keyes, W. R., Shahab‐Ferdows, S., et al. (2011) · Journal of Chromatography B · doi:10.1016/j.jchromb.2011.03.039 · Cited by 38 · see citing works
The Growing Landscape of Succinylation Links Metabolism and Heart Disease
Yang, L., Miao, S., Zhang, J., Wang, P., Liu, G., & Wang, J. (2021) · Epigenomics · doi:10.2217/epi-2020-0273 · Cited by 36 · see citing works
Schwessinger, R., Suciu, M. C., McGowan, S. J., Telenius, J., Taylor, S., Higgs, D. R., & Hughes, J. R. (2017) · Genome Research · doi:10.1101/gr.220202.117 · Cited by 35 · see citing works
Jaberi, E., Chitsazian, F., Ali Shahidi, G., Rohani, M., Sina, F., Safari, I., Malakouti Nejad, M., Houshmand, M., Klotzle, B., & Elahi, E. (2013) · Journal of Human Genetics · doi:10.1038/jhg.2013.45 · Cited by 33 · see citing works
Zhang, Y., Li, T., Cai, X., Long, D., Wang, X., Liu, C., & Wu, Q. E. (2022) · Cell Death Discovery · doi:10.1038/s41420-022-00861-5 · Cited by 29 · see citing works
Lancaster, M. S., & Graham, B. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241310725 · Cited by 28 · see citing works
Self-citationKacsó, G., Ravasz, D., Doczi, J., Németh, B., Madgar, O., Saada, A., Ilin, P., Miller, C., Ostergaard, E., Iordanov, I., et al. (2016) · Biochemical Journal · doi:10.1042/bcj20160594 · Cited by 27 · see citing works
Huang, X., Bedoyan, J. K., Demirbas, D., Harris, D. J., Miron, A., Edelheit, S., Grahame, G. J., DeBrosse, S. D., Wong, L.-J. C., Hoppel, C. L., et al. (2016) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2016.11.005 · Cited by 27 · see citing works
Donti, T. R., Stromberger, C., Ge, M., Eldin, K. W., Craigen, W. J., & Graham, B. H. (2013) · Disease Models & Mechanisms · doi:10.1242/dmm.013466 · Cited by 25 · see citing works
Self-citationGrecco, G. G., Haggerty, D. L., Doud, E. H., Fritz, B. M., Yin, F., Hoffman, H., Mosley, A. L., Simpson, E. R., Liu, Y., Baucum, A. J., et al. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.15226 · Cited by 25 · see citing works
Self-citationNiwa‐Kawakita, M., Abramowski, V., Kalamarides, M., Thomas, G. D., & Giovannini, M. (2000) · genesis · doi:10.1002/(sici)1526-968x(200002)26:2 · Cited by 22 · see citing works
Acetylation of NDPK-D Regulates Its Subcellular Localization and Cell Survival
Fujita, Y., Fujiwara, K., Zenitani, S., & Yamashita, T. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139616 · Cited by 21 · see citing works
Luna, C., Griffin, C., & Miller, M. J. (2021) · Journal of Chromatography A · doi:10.1016/j.chroma.2021.462749 · Cited by 14 · see citing works
Self-citationZhao, Y.-J., Tian, J., Sui, S.-M., Yuan, X.-D., Chen, H., Qu, C.-Q., Du, Y.-F., Guo, L., & Du, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-05168-5 · Cited by 13 · see citing works
Griffin, C., Ammous, Z., Vance, G. H., et al. (2019) · Journal of Chromatography B · doi:10.1016/j.jchromb.2019.121786 · Cited by 13 · see citing works
Self-citationPOU family transcription factors in sensory neurons
Latchman, D. S., Dent, C. L., Lillycrop, K. A., et al. (1992) · Biochemical Society Transactions · doi:10.1042/bst0200627 · Cited by 8 · see citing works
Flagged first, then by citations
1 of the 72 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Biochemistry and regulation of histone lysine l-lactylation
Sheng, X., Lin, H.-N., Cole, P. A., & Zhao, Y. (2025) · Nature reviews. Molecular cell biology · doi:10.1038/s41580-025-00876-7 · Cited by 105 · see citing works
Succinate drives gut inflammation by promoting FOXP3 degradation through a molecular switch
Wang, H., Hu, D., Cheng, Y., Gao, Q., Liu, K., Mani, N. L., Tang, A. Y., Iyer, R., Gao, B., Sun, L., et al. (2025) · Nature Immunology · doi:10.1038/s41590-025-02166-y · Cited by 56 · see citing works
Zhao, X., Yang, X., Du, C., Huimin, H., Liu, S., Liu, G., Zhang, G., Fan, K., & Ma, J. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03284-4 · Cited by 38 · see citing works
Emerging roles of mitochondrial sirtuin SIRT5 in succinylation modification and cancer development
Ke, Z., Shen, K., Wang, L., Xu, H., Pan, X., Qian, Z., Wen, Y., Lv, T., Zhang, X., & Song, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1531246 · Cited by 33 · see citing works
Tate, M., Wijeratne, H. R. S., Kim, B., Philtjens, S., You, Y., Lee, D., Gutierrez, D. A., Sharify, D., Wells, M., Perez‐Cardelo, M., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.14243 · Cited by 16 · see citing works
Self-citationHost genetics and gut microbiota synergistically regulate feed utilization in egg-type chickens
Zhang, W., Lan, F., Zhou, Q., Gu, S., Li, X., Wen, C., Yang, N., & Sun, C. (2024) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-024-01076-7 · Cited by 16 · see citing works
Wu, J., Sun, M., Pang, A., et al. (2025) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2025.109485 · Cited by 14 · see citing works
Self-citationMohan, G. S., & Kumar, R. (2025) · Aging and Disease · doi:10.14336/ad.2025.0472 · Cited by 13 · see citing works
“Conditional knockout of SUCLA2 in the forebrain of mice leads to increased succinylation, that in turn results in respiratory chain complex I activity reduction accompanied by widescale changes in gene expression [164].”
Gao, M., Shi, M., Ding, H., Xu, L., Zhao, N., Wang, L., Huang, S., Jiang, H., a-Flin, E. B., Mi, J., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116147 · Cited by 6 · see citing works
Kim, B., Tate, M. D., Karahan, H., Wijeratne, H. R. S., Sharify, A. D., Wang, S. S., Kim, J. R., Al-Amin, M. M., Hartigan, K., Chung, S., et al. (2026) · Neuron · doi:10.1016/j.neuron.2026.03.011 · Cited by 6 · see citing works
Self-citationFrom Mechanisms to Diseases: The Succinate-GPR91 Axis in Cardiometabolic Diseases
Jia, Y., & Wang, L. (2025) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-025-10670-7 · Cited by 5 · see citing works
Wang, X., Yang, M., Wang, Y., & Zhu, F. (2025) · Inflammation Research · doi:10.1007/s00011-025-02123-3 · Cited by 6 · see citing works
“Unresolved questions persist about SUMOylation patterns and their crosstalk with other PTMs. Future inves - tigations elucidating these complexities may unveil novel therapeutic strategies for SUMOylation-related neurologi - cal disorders. group to lysine side chains [90].”
Self-citationLancaster, M. S., Hafen, P. S., Law, A. S., et al. (2024) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13617 · Cited by 5 · see citing works
Self-citationLyu, H., Hou, D., Liu, Y., Wang, J., & Sui, M. (2025) · The FASEB Journal · doi:10.1096/fj.202502544rr · Cited by 4 · see citing works
Self-citationXie, R., Zhuang, Z., Chen, Q., Xie, C., Adejor, J., Nie, X., & Wang, S. (2025) · Virulence · doi:10.1080/21505594.2025.2532812 · Cited by 2 · see citing works
“Especially, the succinylation of mitochondrial pathways proteins and five histone proteins (H1, H2A, H2B, H3, and H4) in mutant cortex can further impact neuron development and neuronal function [14].”
Yadav, A., Schmitt, S., Ma, W., Mobley, J. A., & Thalacker‐Mercer, A. E. (2025) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00568.2025 · Cited by 2 · see citing works
Hu, H., Feng, Y., Zhou, Y., et al. (2025) · iScience · doi:10.1016/j.isci.2025.114520 · Cited by 2 · see citing works
Cao, Y., Tong, X., Hu, W., Wang, Y., Lu, W., Chen, Y., You, J., Feng, Y., & Song, Q. (2026) · Journal of Ovarian Research · doi:10.1186/s13048-026-01964-8 · Cited by 2 · see citing works
“Future clinical trials must integrate deep phenotyping with metabolomic/succinylomic profiling to identify the “metabolic/PTM-dysregulated POI” sub-set most likely to respond to SIRT5-targeted therapies [84].”
Self-citationThe function and mechanism of protein acylation in the regulation of viral infection
Song, L., Wei, Z., Shang, P., Hu, S., Chen, L., Niu, L., Wang, Y., Gan, M., Shen, L., Zhu, L., et al. (2025) · Virulence · doi:10.1080/21505594.2025.2530171 · Cited by 2 · see citing works
“Non-enzymatic suc-cinylation primarily occurs in mitochondria, and is directly influenced by the concentration of succinyl-CoA and the unique pH environment within mitochondria [25,75–77].”
Self-citationElabed, S., Alila‐Fersi, O., Tlili, A., Fendri, A., & Fakhfakh, F. (2024) · Mitochondrion · doi:10.1016/j.mito.2024.101978 · Cited by 1 · see citing works
Succinylation: novel molecular mechanisms and prospects for targeted therapy in liver diseases
Zhou, J., Tian, X., Zhou, Y.-F., Tan, N., & Chen, B. (2026) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2026.1768199 · Cited by 1 · see citing works
The role and therapeutic potential of succinate and succinylation in cardiovascular diseases
Liu, W., Han, Y., Zhang, F., Leng, S., & Yu, W. (2026) · Clinical Epigenetics · doi:10.1186/s13148-025-02033-5
Hussein, Z. N. (2026) · Jurnal MIPA dan Pembelajarannya · doi:10.17977/um067v6i62026p1
Li, X., Yang, F., Jiang, Y., Zhao, F., & Liu, F. (2026) · Aging Cell · doi:10.1111/acel.70646
“Elevated succinylation, accompanied by disrupted neuronal transcriptional regulation, may affect neuronal pathways directly involved in the pathogenesis of brain disease (Lancaster et al. 2023).”
- Authors
- Lancaster, M. S., Kim, B., Doud, E. H., Tate, M. D., Sharify, A. D., Gao, H., Chen, D., Simpson, E., Gillespie, P., Chu, X., Miller, M. J., Wang, Y., Liu, Y., Mosley, A. L., Kim, J., & Graham, B. H.
- Affiliations
- Indiana University School of Medicine
- Indiana University Indianapolis (US)
- Corresponding author
- Graham, Brett H.
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2023-10
- Volume
- 42
- Issue
- 10
- Pages
- 113241
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC10683835
- OpenAlex
- W4387563400
- Semantic Scholar
- 3dae4545ef0962b3a50132b8840692667d9eda6c
- Cited by
- 24
- References
- 72
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 5
- FWCI
- 3.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Alzheimer's Association (AARF-21-852175, R01GM098387, R01AG077829, R01NS126597)
- Indiana Clinical and Translational Sciences Institute (UL1TR002529)
- NIH (R01GM098387, R01AG077829, R01NS126597, UL1TR002529, P30CA082709, P30CA125123)
- National Cancer Institute
- Ministério do Meio Ambiente
- National Center for Advancing Translational Sciences
- School of Medicine, Indiana University
- Indiana University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Genetic Neurodegenerative Diseases
- Keywords
- succinyl-CoA synthetase, SUCLA2, lysine succinylation, protein acylation, TCA cycle, mitochondrial encephalomyopathy, cerebral cortex, respiratory chain complex I, chromatin landscape, gene regulatory networks, mouse model
- MeSH terms
- Acyl Coenzyme A, Animals, Humans, Mitochondria, Succinate-CoA Ligases, Mice, Knockout, Mice
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 2026-10-17.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-17.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review