Ribosome Profiling of Mouse Embryonic Stem Cells Reveals the Complexity and Dynamics of Mammalian Proteomes
Open accessAbstract
The ability to sequence genomes has far outstripped approaches for deciphering the information they encode. Here we present a suite of techniques, based on ribosome profiling (the deep sequencing of ribosome-protected mRNA fragments), to provide genome-wide maps of protein synthesis as well as a pulse-chase strategy for determining rates of translation elongation. We exploit the propensity of harringtonine to cause ribosomes to accumulate at sites of translation initiation together with a machine learning algorithm to define protein products systematically. Analysis of translation in mouse embryonic stem cells reveals thousands of strong pause sites and unannotated translation products. These include amino-terminal extensions and truncations and upstream open reading frames with regulatory potential, initiated at both AUG and non-AUG codons, whose translation changes after differentiation. We also define a class of short, polycistronic ribosome-associated coding RNAs (sprcRNAs) that encode small proteins. Our studies reveal an unanticipated complexity to mammalian proteomes.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 35 cited sources checked · 0 supported · 0 flagged
- Findingown data
In E14 mouse embryonic stem cells, the amount of protein produced per transcript varies over more than a 10-fold range.
“there was a broad distribution encompassing over a 10-fold range in the amount of protein produced per transcript”
Quote in the paperSubstantial claim - Findingown data
Emetine-treated cells yield slightly longer ribosome footprints than untreated or cycloheximide-treated cells.
“Footprints derived from emetine-treated cells are slightly longer than those from untreated or cycloheximide-treated cells”
Quote in the paperNot a substantial claim - Findingown data
Elongation inhibitors alter the pattern of ribosome footprints along transcripts.
“Nonetheless, elongation inhibitors do alter the pattern of ribosome footprints along transcripts.”
Quote in the paperNot a substantial claim - Findingown data
Drug pre-treatment eliminates the excess of ribosomes seen at the stop codon in untreated cells.
“Drug pre-treatment also eliminates the excess of ribosomes seen at the stop codon in untreated cells”
Quote in the paperSubstantial claim - Findingown data
In mammalian translation, pronounced pauses occur where ribosome density is 25-fold or greater than the median density across the gene body.
“in mammalian translation we find more pronounced pauses where ribosome density is 25-fold or greater than the median density observed across the body of the gene”
Quote in the paperSubstantial claim
- Findingcitation
The accumulation of ribosomes at stop codons in untreated cells is not due to continued elongation in the lysate.
“The accumulation is still seen when cells are lysed in the presence of a non-hydrolyzable GTP analogue, suggesting that it does not result from continued elongation in the lysate”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Stern-Ginossar and Weissman, unpublished data
Not checked in the free run.
- Findingown data
Beyond the initial five to ten-codon window, there is no global variation in ribosome density along coding sequences in any sample.
“Beyond the initial five to ten-codon window we saw no global variation in ribosome density along coding sequences in any sample.”
Quote in the paperSubstantial claim - Findingown data
Translation speed is independent of codon usage.
“Translation speed is also independent of codon usage”
Quote in the paperSubstantial claim - Findingown data
They found 420 pauses at termination codons.
“and at termination codons (420 pauses, Table S2C)”
Quote in the paperNot a substantial claim - Findingown data
There is no enrichment for residues or codons downstream of the A-site at pause sites.
“Importantly, we see no enrichment for residues or codons downstream of the A-site, which are not yet being decoded.”
Quote in the paperSubstantial claim - Findingown data
The rate of translation is remarkably consistent between different classes of messages.
“The rate of translation is remarkably consistent between different classes of messages”
Quote in the paperSubstantial claim - Findingown data
After a delay of about 60 seconds following harringtonine treatment, ribosomes progress from the 5′ ends of transcripts at a rate of 5.6 amino acids per second.
“Following a delay of ~60 seconds, which presumably reflects the time required for engagement of harringtonine, ribosomes progress from the 5′ ends of transcripts at a rate of 5.6 amino acids per second”
Quote in the paperSubstantial claim - Findingown data
The sequence around pause sites contains a consensus peptide motif.
“Analysis of the sequence around the pause sites reveals a consensus peptide motif”
Quote in the paperSubstantial claim - Findingown data
The SVM model recognized 86% of annotated start codons as translation initiation sites versus about 1% of other positions in a distinct testing set.
“Analysis of a distinct testing set of transcripts not used for training established that this model recognized 86 percent of annotated start codons as sites of translation initiation in comparison to only ~1 percent of other positions”
Quote in the paperSubstantial claim - Findingown data
There is a dramatic enrichment for AUG at initiation sites (23-fold).
“we observed a dramatic enrichment for AUG (23-fold; Figure 4E)”
Quote in the paperSubstantial claim - Findingown data
Termination pausing during Sec61b and Vamp translation is confirmed in vivo.
“Our data confirmed termination pausing during the Sec61b and Vamp translation in vivo”
Quote in the paperSubstantial claim - Findingown data
Sites matching the full three-residue consensus have dramatically reduced elongation rates overall.
“Sites that match the full three-residue consensus have dramatically reduced elongation rates overall”
Quote in the paperSubstantial claim - Findingown data
They identified 13454 candidate translation start sites within about 5000 well-expressed transcripts in mouse ES cells.
“We applied the SVM approach to identify 13454 candidate translation start sites within ~5000 transcripts that were well-expressed in our mouse ES cells”
Quote in the paperSubstantial claim - Findingcitation
Harringtonine treatment leads to a profound accumulation of ribosomes at translation initiation sites.
“We found that harringtonine treatment also leads to a profound accumulation of ribosomes at the sites of translation initiation”
Quote in the paperSubstantial claim - Findingown data
They found 1500 pauses in 1100 genes among a set of 4994 well-expressed genes.
“We find thousands of novel pauses in the body of genes (1500 pauses in 1100 genes found in a set of 4994 well-expressed genes; Tables S2A and S2B)”
Quote in the paperSubstantial claim - Findingown data
Pause sites are not enriched for rare codons.
“We also see no evidence that the pause sites are enriched for rare codons.”
Quote in the paperSubstantial claim - Findingown data
uORF initiation sites are accompanied by elongating ribosome footprints in the untreated sample that are depleted during harringtonine treatment, indicating active translation.
“These uORF initiation sites are accompanied by elongating ribosome footprints in the untreated sample that are depleted during harringtonine treatment, indicating that they are involved in active translation”
Quote in the paperSubstantial claim - Findingown data
There is strong enrichment for a specific subset of near-cognate codons at initiation sites.
“We also found a strong enrichment for a specific subset of the near-cognate codons (i.e., codons that differ from AUG by a single nucleotide) at initiation sites”
Quote in the paperSubstantial claim - Findingown data
The majority of novel near-cognate initiation sites detected drive the translation of uORFs.
“The majority of novel near-cognate initiation sites we detected drive the translation of uORFs”
Quote in the paperSubstantial claim - Findingcitation
Internal initiation in the signaling scaffold Ecsit produces a protein nearly identical to a dominant negative form created by designed N-terminal deletion.
“internal initiation in the signaling scaffold Ecsit produces a protein nearly identical to a dominant negative form created by designed N-terminal deletion”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kopp et al., 1999 source
Not checked in the free run.
- Findingcitation
They identify a significant subset of true lincRNAs that are not translated, including the well-documented RNA element NEAT1.
“We also identify a significant subset of true lincRNAs that are not translated, including the well-documented RNA element NEAT1”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Clemson et al., 2009 source
Not checked in the free run.
- Findingown data
280 genes with N-terminal truncations lacked detectable initiation on the annotated AUG.
“However, 280 of the genes with N-terminal truncations lacked detectable initiation on the annotated AUG”
Quote in the paperSubstantial claim - Findingown data
They saw specific start sites marked by harringtonine followed by ribosome footprints extending to the first in-frame stop codon in lincRNAs.
“We saw specific start sites marked by harringtonine followed by ribosome footprints extending to the first in-frame stop codon”
Quote in the paperSubstantial claim - Findingown data
14% of the initiation sites observed are predicted to produce alternate protein isoforms of known genes.
“A substantial fraction (14%) of the initiation sites we observed are predicted to produce alternate protein isoforms of known genes”
Quote in the paperSubstantial claim - Findingown data
The majority of putative lincRNAs contain regions of high translation comparable to protein-coding genes.
“Remarkably, the majority of putative lincRNAs contain regions of high translation comparable to protein-coding genes”
Quote in the paperSubstantial claim - Findingown data
At least 30% of these genes showed a significant difference in the ratio of ribosome footprint to mRNA-seq reads between the distinct 5′ UTRs of different isoforms.
“we additionally observed that at least 30% of these genes showed a significant difference in the ratio of ribosome footprint to mRNA-seq reads between the distinct 5′ UTRs of different isoforms”
Quote in the paperSubstantial claim - Findingown data
In one Pih1d1 5′ UTR isoform, strong uORF initiation reduced initiation of the downstream protein-coding frame by 50% relative to the same frame in the other isoform.
“Strong initiation of the uORF in one isoform led to 50% less initiation of its protein-coding reading frame as compared to initiation of the same protein-coding reading frame in the second isoform (Figure S3).”
Quote in the paperNot a substantial claim - Findingown data
Upstream translation, including that of uORFs, declines substantially as embryonic stem cells differentiate.
“Translation of uORFs also declined substantially during differentiation.”
- Also stated in: § DISCUSSION · boosted
“We have shown that upstream translation decreases as ES cells undergo differentiation, indicating that it is subject to regulation and may be part of a major program of translational control.”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · boosted
- Findingown data
Pih1d1 has two 5′ UTR variants with distinct uORFs.
“The gene Pih1d1 has two 5′ UTR variants with distinct uORFs.”
Quote in the paperNot a substantial claim - Findingown data
The decrease in 5′ UTR translation is visible on individual genes that have defined uORFs.
“This shift can be observed on the 5′UTR of individual genes with defined uORFs (Figures 7C and 7D).”
Quote in the paperNot a substantial claim - Findingown data
Although ribosomal protein genes remain highly expressed in embryoid bodies, their translation efficiency is 3- to 4-fold lower than that of a typical transcript.
“Although these genes were still highly expressed in embryoid bodies, they were translated 3- to 4-fold less efficiently than the typical transcript (Tables S5D-S5F).”
Quote in the paperSubstantial claim - Findingown data
For a typical transcript, 5′ UTR translation decreased by about 25% during differentiation.
“We measured the level of upstream translation using the ratio of ribosome footprint reads in the 5′UTR to the coding sequence of each gene and found that the typical transcript showed a ~25% decrease in 5′UTR translation during differentiation (Figure 7B).”
Quote in the paperSubstantial claim - Findingown data
Embryoid bodies display a modest yet significant increase in the translational efficiency of integral membrane proteins.
“We also observed a modest but quite significant increase in the translational efficiency of integral membrane proteins in EBs (Figure S4E and Table S5F), which could result directly from a redirection of ribosomes to the rough ER, or indirectly through regulatory programs whose targets are enriched for membrane proteins.”
Quote in the paperNot a substantial claim - Findingown data
They found 1800 genes showing differential initiation of uORFs in distinct 5′ UTR isoforms.
“we found 1800 genes showing differential initiation of uORFs in distinct 5′ UTR isoforms”
Quote in the paperSubstantial claim - Findingcitation
In our early timepoint, ribosomal proteins showed a modest increase in translation.
“Polysome profiling experiments have suggested a global increase in cellular translation during early ES cell differentiation, and we see a modest upregulation of RPs in our early timepoint (Sampath et al., 2008).”
Quote in the paperNot a substantial claim - Findingown data
Alternative inclusion of uORFs was seen in ribosomal proteins, including Rps27a, where a small fraction of transcripts had a retained 5′ UTR intron that introduced a uORF.
“Alternative inclusion of uORFs was also seen in ribosomal proteins, including Rps27a, where a small fraction of transcripts had a retained 5′ UTR intron that introduced a uORF”
Quote in the paperNot a substantial claim - Findingown data
Removing LIF from the culture induced differentiation of embryonic stem cells into embryoid bodies.
“Withdrawal of leukemia inhibitory factor (LIF) induced differentiation (Figure S4A), which we assessed visually and by the down-regulation of the direct LIF target Klf4 (Niwa et al., 2009), followed by loss of Oct4 expression and the induction of developmental and lineage-specific genes (Figures S4B and S4C and Tables S5A-S5F).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Niwa et al., 2009 source
Not checked in the free run.
- Findingown data
In embryoid bodies, ribosomal protein genes are strongly repressed compared with embryonic stem cells.
“We then looked for translational control of gene expression during differentiation and observed strong repression of ribosomal proteins (RPs) in EBs relative to ES cells (Figure 7A, Figure S5D and Table S5F).”
Quote in the paperSubstantial claim - Findingown data
They observe robust translation initiation at a distinct uORF in the second Atf5 isoform.
“We observe robust translation initiation at a distinct uORF in this second isoform”
Quote in the paperNot a substantial claim - Findingown data
Mammalian proteomes commonly use alternative initiation sites to generate extended or truncated versions of known proteins.
“A number of novel features of mammalian proteomes emerge from our studies, including the ubiquitous use of alternate initiation sites that drive the production of extended or truncated isoforms of known proteins as well as the translation of sprcRNAs, whose protein-coding potential was not initially apparent.”
Quote in the paperSubstantial claim - Findingown data
sprcRNAs are translated even though their protein-coding potential was not initially recognized.
“A number of novel features of mammalian proteomes emerge from our studies, including the ubiquitous use of alternate initiation sites that drive the production of extended or truncated isoforms of known proteins as well as the translation of sprcRNAs, whose protein-coding potential was not initially apparent.”
Quote in the paperSubstantial claim - Findingown data
Non-AUG initiation is regulated during embryoid body formation.
“It is also regulated during EB formation, suggesting a global link with growth and proliferation, and is involved in the synthesis of functional proteins, including the well-studied oncogene and pluripotency factor Myc (Hann et al., 1988).”
Quote in the paperNot a substantial claim - Findingown data
Initiation at CUG and GUG codons is widespread.
“While most productive protein synthesis starts at a classical AUG codon, initiation at CUG and GUG codons is widespread and is likely to have broad biological significance.”
Quote in the paperSubstantial claim - Findingown data
Many translation initiation sites, particularly upstream ones, use non-AUG codons.
“Our studies also establish that many sites of translation initiation, especially upstream initiation, occur at non-AUG codons.”
Quote in the paperSubstantial claim - Interpretationown data
The proposed broadly conserved ramping strategy in Saccharomyces cerevisiae does not appear to occur in mammalian cells.
“While it is possible that such a ramping effect occurs in S. cerevisiae, it does not appear to occur mammalian cells.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tuller et al., 2010 source
Not checked in the free run.
- Interpretationreasoning
These pauses last for several seconds based on a typical elongation rate of about 6 codons per second.
“Based on a typical elongation rate of ~6 codons per second (see below) the pauses we see last for several seconds”
Quote in the paperSubstantial claim - Interpretationreasoning
The duration of these pauses is enough for the paused ribosome-nascent chain complex to bind co-translational chaperones.
“which is enough time for the paused ribosome-nascent chain (RNC) complex to bind co-translational chaperones”
Quote in the paperNot a substantial claim - Interpretationreasoning
Ribosome footprint density provides a reliable measure of protein synthesis independent of the particular gene being translated.
“An important practical implication for the universality of the average rate of elongation is that ribosome footprint density provides a reliable measure of protein synthesis independent of the particular gene being translated.”
Quote in the paperSubstantial claim - Interpretationown data
Pausing at termination codons is a common feature of translation.
“Instead, pausing at termination codons is a common feature of translation.”
Quote in the paperSubstantial claim - Interpretationown data
The lack of packed ribosomes at pause sites suggests that ribosome density is typically too low for frequent encounters between upstream elongating ribosomes and a transiently stalled downstream ribosome.
“The lack of packed ribosomes at pause sites suggests that ribosome density is typically too low to cause frequent encounters between upstream elongating ribosomes and a transiently stalled downstream ribosome”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Arava et al., 2003 source
Not checked in the free run.
- Interpretationreasoning
The absence of downstream depletion argues that most ribosomes continue elongation after these pause sites.
“The absence of downstream depletion also argues that the majority of ribosomes continue elongation following these pause sites.”
Quote in the paperSubstantial claim - Interpretationcitation
The analysis may underestimate the true prevalence of near-cognate initiation because initiation at near-cognate sites is sometimes resistant to harringtonine.
“Initiation at near-cognate sites is sometimes resistant to harringtonine (Starck et al., 2008); Stern-Ginossar and Weissman, unpublished data), so our analysis may underestimate the true prevalence of near-cognate initiation.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Starck et al., 2008 source
Not checked in the free run.
- cites Stern-Ginossar and Weissman, unpublished data
Not checked in the free run.
- Interpretationown data
Near-cognate uORFs are quite common.
“Our observations suggest that near-cognate uORFs are quite common.”
Quote in the paperSubstantial claim - Interpretationreasoning
These methods yield experimentally derived maps of the protein-coding potential of complex genomes.
“Our approaches provide experimentally based maps of the protein coding potential of complex genomes, and reveal in depth information about the kinetics and mechanism of translation elongation and coupled co-translational events.”
Quote in the paperSubstantial claim - Interpretationreasoning
The reduction in upstream translation indicates a broad alteration of the translational machinery that could affect gene expression across the genome.
“It reflects a broad change in the translational apparatus with the potential to impact gene expression genome-wide.”
Quote in the paperSubstantial claim - Interpretationown data
The Pih1d1 result illustrates that the widespread upstream initiation seen in both alternative and constitutive 5′ UTRs can have functional consequences.
“This effect demonstrates the potential impact of the widespread upstream initiation we observe in both alternative and constitutive 5′ UTRs.”
Quote in the paperSubstantial claim - Interpretationreasoning
Deep sequencing of ribosome-protected fragments enables ribosome profiling methods that greatly improve the definition and quantitative monitoring of mammalian proteomes.
“Here we present a range of ribosome profiling techniques, based on deep sequencing of ribosome-protected fragments, that dramatically expand our ability to define and quantitatively monitor mammalian proteomes.”
Quote in the paperSubstantial claim - Interpretationown data
The known regulation of ribosomal protein translation by proliferation and nutrient status is a prominent feature of embryoid body formation.
“The translation of RPs is regulated in response to proliferation and nutrient status (Hamilton et al., 2006), and here we show that this response is a notable feature of EB formation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hamilton et al., 2006 source
Not checked in the free run.
- Interpretationreasoning
The observed preference for upstream non-AUG initiation appears inconsistent with a simple scanning model of start codon recognition.
“The bias towards upstream non-AUG initiation seems to conflict with a pure scanning model for start codon recognition, as a pre-initiation complex that bypasses the annotated AUG is no less likely to recognize a subsequent CUG, though the difference could reflect heterogeneous stringencies in scanning complexes.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Non-AUG initiation has broad effects on translation.
“Non-AUG initiation clearly impacts many aspects of translation.”
Quote in the paperSubstantial claim - Interpretationown data
Upstream translation is regulated.
“We have shown that upstream translation decreases as ES cells undergo differentiation, indicating that it is subject to regulation and may be part of a major program of translational control.”
Quote in the paperSubstantial claim - Interpretationown data
CUG and GUG initiation is likely to be biologically important in many contexts.
“While most productive protein synthesis starts at a classical AUG codon, initiation at CUG and GUG codons is widespread and is likely to have broad biological significance.”
Quote in the paperSubstantial claim - Interpretationreasoning
Ribosome profiling can measure the rate of protein synthesis across the genome with high precision by using the density of ribosome footprints.
“Finally, ribosome profiling allows high precision, genome-wide measures of the rate of protein synthesis from the density of ribosome footprints, much as RNA-seq experiments measure mRNA abundance from read density; such gene expression measurements may represent the most frequent application of ribosome profiling even after the proteome is fully defined.”
Quote in the paperSubstantial claim - Interpretationnone given
The extensive upstream non-AUG initiation observed probably regulates protein synthesis from particular transcripts when global initiation conditions change.
“The extensive upstream non-AUG initiation we observe is likely to regulate protein synthesis from specific transcripts in response to global changes in initiation.”
Quote in the paperNot a substantial claim - Premisecitation
Non-AUG initiation contributes to the production of functional proteins, such as the oncogene and pluripotency factor Myc.
“It is also regulated during EB formation, suggesting a global link with growth and proliferation, and is involved in the synthesis of functional proteins, including the well-studied oncogene and pluripotency factor Myc (Hann et al., 1988).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hann et al., 1988 source
Not checked in the free run.
- Premisecitation
Quantitative mass spectrometry struggles to match the broad dynamic range and comprehensive coverage of deep sequencing.
“While there have been remarkable advances in quantitative mass spectrometry (Nilsson et al., 2010), it is difficult to match the large dynamic range and comprehensive nature of deep sequencing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nilsson et al., 2010 source
Not checked in the free run.
- May combine two claims. 32
- Classified as probably not a substantial claim. 15
May combine two claims.
Findingown dataRibosomes at stop codons have longer footprints, suggesting a different conformation.
“Interestingly, we saw longer footprints at stop codons (Figure 1B and S1B), suggesting that the accumulating ribosomes are in a different conformation”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningDrug-treated cells show an excess of ribosomes at the initiation site and over the first five to ten codons, while untreated cells lack this excess.
“The excess of ribosomes at the initiation site and extending over the first five to ten codons is essentially absent from untreated cells”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere is no evidence for termination pausing in the majority of other tail-anchored proteins (3 of 32 have pauses), nor is it restricted to tail-anchored proteins.
“we found no evidence for this phenomenon in the majority of other TA proteins (3 / 32 have pauses), nor was it restricted to TA proteins”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataStrong pauses are enriched for glutamate or aspartate in the A site, preceded by proline or glycine and then another proline, with additional bias toward the GAA glutamate codon and CC(A/T) proline codons.
“There is strong enrichment of glutamate or asparate in the A site at strong pauses, preceded by a proline or glycine and then another proline, with an additional bias towards the GAA glutamate codon and CC(A/T) proline codons.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPausing does not cause secondary ribosome accumulation about 10 codons upstream nor depletion within the 10-codon shadow.
“we see no evidence that pausing causes secondary ribosome accumulation ~10 codons upstream, where a following ribosome would collide with the stalled one (Wolin and Walter, 1988), nor a depletion of ribosomes within the 10 codon “shadow” resulting from paused ribosomes”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wolin and Walter, 1988
Not checked in the free run.
May combine two claims.
FindingcitationThe Xbp1 pause is confirmed and its precise position is residue Asn 256, the last codon required for translational arrest.
“We confirmed the presence of this pause and identified its precise position as residue Asn 256, which is the last codon required for translational arrest”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yanagitani et al., 2011 source
Not checked in the free run.
May combine two claims.
Findingown dataThe majority (65%) of these transcripts contain more than one detectable translation initiation site, and 16% contain four or more sites.
“The majority (65%) of these transcripts contain more than one detectable site of translation initiation, with 16 percent containing four or more sites”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataElongation kinetics are independent of length and protein abundance and are the same in secreted proteins.
“The kinetics of elongation are independent of length and protein abundance and are the same in secreted proteins, whose translation occurs on the ER surface.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThey identified 570 genes with potential N-terminal extensions and 870 with N-terminal truncations among the 4994 genes analyzed.
“We identified 570 genes with potential N-terminal extensions and 870 with N-terminal truncations in the 4994 genes we analyzed.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNearly half (44%) of the AUG initiation sites found are unannotated, and the majority of these are downstream of the annotated start and predicted to produce N-terminally truncated proteins or ORFs in alternate reading frames.
“Nearly half (44%) of the AUG initiation sites that we found are unannotated, and the majority of these were downstream of the annotated start and were predicted to produce N-terminally truncated proteins or ORFs encoded in alternate reading frames”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIgf2 has two 5′ UTR variants with the same reading frame annotated in both transcripts, but they observed an isoform-specific N-terminal extension.
“the growth factor Igf2 has two 5′ UTR variants with the same reading frame annotated in both transcripts, but we observed an isoform-specific N-terminal extension”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThey found an N-terminal extension on the DNA repair protein Swi5; its protein sequence is conserved and experimental evidence indicates endogenous mouse Swi5 is larger than the annotated 89 amino acid protein.
“We found an N-terminal extension on the DNA repair protein Swi5 (Figure 4G); its protein sequence is conserved, and there is experimental evidence that endogenous mouse Swi5 is larger than the annotated 89 amino acid protein”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Akamatsu and Jasin, 2010
Not checked in the free run.
May combine two claims.
Findingown dataMyc and Nanog both have multiple uORFs and alternate translation products initiating at both AUG and near-cognate sites.
“both have multiple uORFs and alternate translation products initiating at both AUG and near-cognate sites”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThe differentiation process involved reduced Klf4, loss of Oct4, and increased expression of developmental and lineage-specific genes.
“Withdrawal of leukemia inhibitory factor (LIF) induced differentiation (Figure S4A), which we assessed visually and by the down-regulation of the direct LIF target Klf4 (Niwa et al., 2009), followed by loss of Oct4 expression and the induction of developmental and lineage-specific genes (Figures S4B and S4C and Tables S5A-S5F).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Niwa et al., 2009 source
Not checked in the free run.
May combine two claims.
Findingown dataThe Pih1d1 gene possesses two 5′ UTR isoforms, each containing a different uORF.
“The gene Pih1d1 has two 5′ UTR variants with distinct uORFs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMammalian protein-coding genes show widespread upstream translation, which is more extensive than the upstream translation previously seen in yeast.
“We also observe widespread translation upstream of mammalian protein-coding genes, similar to but more extensive than upstream translation that we observed in yeast (Ingolia et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ingolia et al., 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe data are consistent with prior work that inferred translation levels from absolute mRNA and protein abundance measurements.
“Our data are consistent with recent work that indirectly infers translation levels from absolute mRNA and protein abundance measurements”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schwanhausser et al., 2011 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationTranslation was the single largest contributor to protein abundance in prior work.
“they found that translation was the single largest contributor to protein abundance”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Schwanhausser et al., 2011 source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe distribution of protein produced per transcript is asymmetric, suggesting a maximal rate of protein production and substantial dynamic range for decreased translational efficiency.
“This distribution is asymmetric, suggesting a maximal rate of protein production from an mRNA and substantial dynamic range for decreased translational efficiency.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataBrief treatment of cells with elongation inhibitors did not significantly change which transcripts were ribosome-associated and did not distort overall translation measurements made by ribosome profiling.
“We concluded that brief treatment of cells with elongation inhibitors did not significantly change which transcripts were associated with ribosomes and did not distort translation measurements made by ribosome profiling.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown datatRNA identity and nascent peptide sequence can influence elongation kinetics, whereas even for rare codons tRNA recruitment is not rate-limiting.
“Our findings suggest that tRNA identity and nascent peptide sequence can influence the kinetics of elongation, whereas even for rare codons, tRNA recruitment is not rate-limiting.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationHarringtonine binds free 60S subunits but not those joined into an 80S ribosome; elongating ribosomes are immune, and a 60S subunit bound by harringtonine forms an 80S at a start site that does not move forward.
“This effect likely occurs because harringtonine binds to free 60s subunits, but not those that are joined into an 80s ribosome. Thus, elongating ribosomes are immune to harringtonine, whereas a 60s subunit bound by harringtonine will form an 80s at a start site that does not move forward”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningActual false negative and false positive rates may be lower because not all annotated start sites are correct and there is substantial non-canonical initiation.
“Actual false negative and false positive rates may be considerably lower, as not all annotated start sites are correct and there is a substantial rate of translation initiation from non-canonical start sites.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningExtensions most often resulted from near-cognate initiation, probably because computational gene annotation selects the first in-frame AUG.
“Extensions most often resulted from near-cognate initiation (Figure S2B), probably because computational gene annotation selects the first in-frame AUG”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThey classify these RNAs as short, polycistronic, ribosome-associated coding RNAs (sprcRNAs) based on the observation that they contain small coding sequences bound by elongating ribosomes and frequently contain multiple ORFs.
“We classify these RNAs as short, polycistronic, ribosome-associated coding RNAs (sprcRNAs) based on our observation that they contain small coding sequences that are bound by elongating ribosomes, and frequently contain multiple ORFs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe first uORF in the Atf4 transcript is constitutively translated and ribosomes then reinitiate at either the second uORF or the CDS.
“The first uORF in the Atf4 transcript is constitutively translated and ribosomes then reinitiate at either the second uORF or the CDS”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Calvo et al., 2009 source
Not checked in the free run.
- cites Lu et al., 2004
Not checked in the free run.
- cites Morris and Geballe, 2000
Not checked in the free run.
May combine two claims.
Interpretationown dataThese data establish that the majority of lincRNAs are exported to the cytoplasm and effectively engaged by the protein translation machinery.
“These data establish that the majority of lincRNAs are exported to the cytoplasm and effectively engaged by the protein translation machinery.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationuORFs have two roles: some permit downstream reinitiation, whereas others capture some fraction of scanning pre-initiation complexes and decrease CDS translation.
“This exemplifies two roles of uORFs—some permit downstream reinitiation, whereas others capture some fraction of scanning pre-initiation complexes and decrease CDS translation.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationInternal initiation in the Ets family transcription factor Etv5 produces a product that lacks the predicted activation domain but contains the DNA-binding domain.
“Internal initiation in the Ets family transcription factor Etv5 produces a product that lacks the predicted activation domain (Monte et al., 1996) but contains the domain that mediates DNA binding (Monte et al., 1994)”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Monte et al., 1996 source
Not checked in the free run.
- cites Monte et al., 1994
Not checked in the free run.
May combine two claims.
Interpretationown dataAlternative splicing generates transcripts with different upstream initiation sites and results in different uORF translation.
“Thus, alternative splicing generates transcripts with different upstream initiation sites and results in different uORF translation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrior polysome profiling work indicated a global rise in cellular translation during early embryonic stem cell differentiation.
“Polysome profiling experiments have suggested a global increase in cellular translation during early ES cell differentiation, and we see a modest upregulation of RPs in our early timepoint (Sampath et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sampath et al., 2008 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA similar shift in upstream translation has been linked to proliferation in cancer and to the translational control of ribosomal proteins.
“Such a shift has been associated with proliferation in tumorigenesis, and has been linked to the translational control of RPs (Mamane et al., 2006; Ruggero and Sonenberg, 2005).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Mamane et al., 2006 source
Not checked in the free run.
- cites Ruggero and Sonenberg, 2005
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataA set of well-expressed genes was chosen based on median footprint density across the coding sequence, omitting the first 15 and last 5 codons because ribosomes accumulate there.
“A set of well-expressed genes was selected based on median footprint density across the coding sequence, excluding the first 15 and last 5 codons due to the accumulation of ribosomes (Figures 1C and 1D).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNon-AUG initiation has been implicated in generating peptides for immune surveillance.
“More broadly, it has been implicated in the production of peptides for immune surveillance (Malarkannan et al., 1999), and additional roles will likely emerge as we understand more about which non-AUG codons are used and how this selection is regulated.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Malarkannan et al., 1999 source
Not checked in the free run.
May combine two claims.
Interpretationown dataRibosome profiling provides detailed information on the kinetics and mechanism of translation elongation and on coupled co-translational events.
“Our approaches provide experimentally based maps of the protein coding potential of complex genomes, and reveal in depth information about the kinetics and mechanism of translation elongation and coupled co-translational events.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataMetagene profiles from harringtonine run-off were normalized using the median value over codons 800-1000, a region that appeared undepleted at the treatment times used.
“Metagene profiles from harringtonine run-off were further normalized by the median value over codons 800-1000, which appeared undepleted at harringtonine treatment times used in this study, and smoothed by averaging disjoint 5-codon windows.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningAssigning initiation sites preferentially to AUG codons may cause a modest bias against finding near-cognate initiation.
“The preferential assignment of initiation sites to AUG codons may lead to a modest bias against detecting near-cognate initiation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningMass spectrometry and ribosome profiling are highly complementary methods.
“More generally mass spectrometry and ribosome profiling represent highly complementary approaches; for example, comparison between changes in rate of synthesis measured by ribosome profiling and abundance measured by mass spectrometry should reveal examples of regulated degradation of proteins.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe SVMlight tool was trained on 3,200 transcripts, using annotated start codons as positive examples and ten other positions as negative examples.
“The SVMlight pattern recognition tool (Joachims, 1999) was trained on an arbitrary set of 3200 transcripts, using the annotated start codon as a positive example and ten other positions as negative examples.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Joachims, 1999
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenInitiation sites were called as one or more consecutive positions that exceeded an SVM score cutoff and had at least 50 harringtonine footprints in total across samples.
“Initiation sites were defined as one or more consecutive nucleotide positions that passed an SVM score threshold as well as a minimum of 50 harringtonine footprints total amongst all samples.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationFor most analyses, ribosome footprint alignments were mapped to specific A-site nucleotides using alignment position and length, with calibration from footprints at coding sequence boundaries.
“For most analyses, footprint alignments were assigned to specific A site nucleotides by using the position and total length of each alignment, calibrated from footprints at the beginning and the end of CDSes (Figures S1A and S1B) as previously described (Ingolia et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ingolia et al., 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTranslation of uORFs can regulate expression of the downstream protein-coding gene in response to either global or gene-specific regulatory signals.
“Translation of a uORFs can modulate the expression of the downstream protein-coding gene in response to global (Sonenberg and Hinnebusch, 2009) or gene-specific regulatory signals (Medenbach et al., 2011).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
Study design and conductcitationLincRNAs were taken from reconstructed transcripts that fell entirely within lincRNA chromatin signatures and excluded known protein-coding genes.
“LincRNAs were collected from reconstructed transcripts (Guttman et al., 2010) that lay entirely within the lincRNA chromatin signatures identified by Guttman et al. (Guttman et al., 2009), which excluded known protein-coding genes.”
Quote in the paperSubstantial claim0 of 2 sources checked
The paper relies on this without support.
The number of ribosome footprints at a codon is proportional to the average time a ribosome dwells there.
“The footprint count on a codon should be proportional to the average ribosome dwell time there”
The paper relies on this without support.
Most productive protein synthesis begins at a classical AUG codon.
“While most productive protein synthesis starts at a classical AUG codon, initiation at CUG and GUG codons is widespread and is likely to have broad biological significance.”
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?
Ribosome profiling has shown that translation rates change only several fold upon cellular differentiation and, with the exception of the translation machinery, the change affects all expressed genes to a similar degree.
“Ribosome profiling has also shown that translation rates change only several fold upon cellular differentiation and, with the exception of the translation machinery, the change affects all expressed genes to a similar degree (Ingolia et al., 2011)”
From System wide analyses have underestimated protein abundances and the importance of transcription in mammals (2014) · cites this paper as Ingolia et al., 2011
The Results section, “Changes in Translation During Embryoid Body Formation” (page unavailable), reports that ribosomal proteins were translated 3- to 4-fold less efficiently than the typical transcript during differentiation. It does not establish that translation rates changed by only several-fold across all expressed genes or that all other genes changed similarly; it also reports a significant efficiency increase for integral membrane proteins. (LLM, conf=0.86)
Experimental — accuracy not yet measuredRibosome profiling has shown that long non-coding RNAs in the cytosol can be engaged by the polyribosome but do not code for protein.
“Ribosome profiling has also shown that long non-coding RNAs in the cytosol, many of which are known to be spliced, capped, and polyadenylated in a similar manner to mRNAs62, can be engaged by the polyribosome56, but do not code for protein63.”
From Decoding neuroproteomics: integrating the genome, translatome and functional anatomy (2014) · cites this paper as [56]
Studies that have attempted deliberate co-analysis of RNA and protein have consistently observed a limited correlation (between 0.5-0.7) in abundance.
“Importantly, those studies that have attempted deliberate co-analysis of RNA and protein have consistently observed a limited correlation (between 0.5–0.7) in abundance.”
From Decoding neuroproteomics: integrating the genome, translatome and functional anatomy (2014) · cites this paper as [56]
Measurements of mRNA abundance alone are insufficient to be considered predictive of protein abundance.
“As such, measurements of mRNA abundance alone are insufficient to be considered predictive of protein abundance54–56, reinforcing the requirement for cellular analysis at the proteome level.”
From Decoding neuroproteomics: integrating the genome, translatome and functional anatomy (2014) · cites this paper as [56]
Cites
Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216 · see citing works
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909 · see citing works
The Sequence of the Human Genome
Venter, J., Adams, M., Myers, E., Li, P. W., Mural, R., Sutton, G., Smith, H., Yandell, M., Evans, C., Holt, R., et al. (2001) · Science · doi:10.1373/clinchem.2014.237016 · Cited by 6,779 · see citing works
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1× · see citing works
“with recent work that indirectly infers translation levels from absolute mRNA and protein abundance measurements (Schwanhäusser et al., 2011).”
BackgroundAdvances in kernel methods: support vector learning
Schölkopf, B., Burges, C. J. C., & Smola, A. J. (1999) · doi:10.5555/299094 · Cited by 5,801 · see citing works
Control of inositol 1,4,5-trisphosphate-induced Ca2+ release by cytosolic Ca2+
Bootman, M. D., Missiaen, L., Parys, J. B., SMEDT, H. D., & Casteels, R. (1995) · Biochemical Journal · doi:10.1042/bj3060445 · Cited by 5,120 · see citing works
Making Large-Scale SVM Learning PracticalPreprint
Joachims, T. (1998) · RePEc: Research Papers in Economics · doi:10.17877/de290r-14262 · Cited by 4,514 · see citing works
What is a support vector machine?
Noble, W. S. (2006) · Nature Biotechnology · doi:10.1038/nbt1206-1565 · Cited by 4,305 · see citing works
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098 · see citing works
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886 · see citing works
Self-citationGenome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853 · see citing works
Self-citationMutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837 · see citing works
Accurate whole human genome sequencing using reversible terminator chemistry
Bentley, D. R., Balasubramanian, S., Swerdlow, H. P., Smith, G. P., Milton, J., Brown, C. G., Hall, K. P., Evers, D. J., Barnes, C. L., Bignell, H. R., et al. (2008) · Nature · doi:10.1038/nature07517 · Cited by 3,684 · see citing works
Niwa, H., Miyazaki, J., & Smith, A. G. (2000) · Nature Genetics · doi:10.1038/74199 · Cited by 3,606 · see citing works
Regulation of Translation Initiation in Eukaryotes: Mechanisms and Biological Targets
Sonenberg, N., & Hinnebusch, A. G. (2009) · Cell · doi:10.1016/j.cell.2009.01.042 · Cited by 3,304 · see citing works
Khalil, A. M., Guttman, M., Huarte, M., Garber, M., Raj, A., Rivea Morales, D., Thomas, K., Presser, A., Bernstein, B. E., van Oudenaarden, A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904715106 · Cited by 2,872 · see citing works
IRE1 couples endoplasmic reticulum load to secretory capacity by processing the XBP-1 mRNA
Calfon, M. A., Zeng, H., Urano, F., Till, J. H., Hubbard, S. R., Harding, H. P., Clark, S. G., & Ron, D. (2002) · Nature · doi:10.1038/415092a · Cited by 2,826 · see citing works
An Abundant Class of Tiny RNAs with Probable Regulatory Roles in <i>Caenorhabditis elegans</i>
Lau, N. C., Lim, L. P., Weinstein, E. G., & Bartel, D. P. (2001) · Science · doi:10.1126/science.1065062 · Cited by 2,713 · see citing works
A "Silent" Polymorphism in the <i>MDR</i> 1 Gene Changes Substrate Specificity
Kimchi-Sarfaty, C., Oh, J. M., Kim, I.-W., Sauna, Z. E., Calcagno, A. M., Ambudkar, S. V., & Gottesman, M. M. (2007) · Science · doi:10.1126/science.1135308 · Cited by 2,416 · see citing works
FMRP Stalls Ribosomal Translocation on mRNAs Linked to Synaptic Function and Autism
Darnell, J. C., Van Driesche, S. J., Zhang, C., Hung, K. Y. S., Mele, A., Fraser, C. E., Stone, E. F., Chen, C., Fak, J. J., Chi, S. W., et al. (2011) · Cell · doi:10.1016/j.cell.2011.06.013 · Cited by 2,072 · see citing works
lincRNAs act in the circuitry controlling pluripotency and differentiation
Guttman, M., Donaghey, J., Carey, B. W., Garber, M. G., Grenier, J. K., Munson, G., Young, G., Lucas, A. B., Ach, R. A., Bruhn, L., et al. (2011) · Nature · doi:10.1038/nature10398 · Cited by 1,845 · see citing works
Argonaute HITS-CLIP decodes microRNA–mRNA interaction maps
Chi, S. W., Zang, J. B., Mele, A., & Darnell, R. B. (2009) · Nature · doi:10.1038/nature08170 · Cited by 1,791 · see citing works
Pten is essential for embryonic development and tumour suppression
Cristofano, A. D., Pesce, B., Cordon‐Cardo, C., & Pandolfi, P. P. (1998) · Nature Genetics · doi:10.1038/1235 · Cited by 1,518 · see citing works
Clemson, C. M., Hutchinson, J. N., Sara, S. A., Ensminger, A. W., Fox, A. H., Chess, A., & Lawrence, J. B. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.01.026 · Cited by 1,445 · see citing works
RNA-binding proteins: modular design for efficient function
Lunde, B. M., Moore, C. L., & Varani, G. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2178 · Cited by 1,322 · see citing works
Guttman, M., Garber, M., Levin, J. Z., Donaghey, J., Robinson, J., Adiconis, X., Fan, L., Koziol, M. J., Gnirke, A., Nusbaum, C., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1633 · Cited by 1,253 · see citing works
Identification of microRNAs of the herpesvirus family
Pfeffer, S., Sewer, A., Lagos‐Quintana, M., Sheridan, R., Sander, C., Grässer, F. A., van Dyk, L. F., Ho, C. K., Shuman, S., Chien, M., et al. (2005) · Nature Methods · doi:10.1038/nmeth746 · Cited by 1,153 · see citing works
CLIP Identifies Nova-Regulated RNA Networks in the Brain
Ule, J., Jensen, K. B., Ruggiu, M., Mele, A., Ule, A., & Darnell, R. B. (2003) · Science · doi:10.1126/science.1090095 · Cited by 1,120 · see citing works
mRNA localization: Gene expression in the spatial dimension
Martin, K. C., & Ephrussi, A. (2009) · Cell · doi:10.1016/j.cell.2009.01.044 · Cited by 1,048 · see citing works
Brockdorff, N., Ashworth, A., Kay, G. F., McCabe, V. M., Norris, D. P., Cooper, P. J., Swift, S., & Rastan, S. (1992) · Cell · doi:10.1016/0092-8674(92)90519-i · Cited by 1,028 · see citing works
Inhibition of eukaryotic translation elongation by cycloheximide and lactimidomycin
Schneider‐Poetsch, T., Ju, J., Eyler, D. E., Dang, Y., Bhat, S., Merrick, W. C., Green, R., Shen, B., & Liu, J. O. (2010) · Nature Chemical Biology · doi:10.1038/nchembio.304 · Cited by 1,020 · see citing works
Lu, P. D., Harding, H. P., & Ron, D. (2004) · The Journal of Cell Biology · doi:10.1083/jcb.200408003 · Cited by 1,006 · see citing works
Calvo, S. E., Pagliarini, D. J., & Mootha, V. K. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810916106 · Cited by 914 · see citing works
An evolutionarily conserved mechanism for controlling the efficiency of protein translation
Tuller, T., Carmi, A., Vestsigian, K., Navon, S., Dorfan, Y., Zaborske, J., Pan, T., Dahan, O., Furman, I., & Pilpel, Y. (2010) · Cell · doi:10.1016/j.cell.2010.03.031 · Cited by 874 · see citing works
A parallel circuit of LIF signalling pathways maintains pluripotency of mouse ES cells
Niwa, H., Ogawa, K., Shimosato, D., & Adachi, K. (2009) · Nature · doi:10.1038/nature08113 · Cited by 872 · see citing works
Solving the riddle of codon usage preferences: a test for translational selection
dos Reis, M. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh834 · Cited by 745 · see citing works
Upstream Open Reading Frames as Regulators of mRNA Translation
Morris, D. R., & Geballe, A. P. (2000) · Molecular and Cellular Biology · doi:10.1128/mcb.20.23.8635-8642.2000 · Cited by 736 · see citing works
Genome-wide analysis of mRNA translation profiles in <i>Saccharomyces</i> <i>cerevisiae</i>
Arava, Y., Wang, Y., Storey, J. D., Liu, C. L., Brown, P. O., & Herschlag, D. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0635171100 · Cited by 663 · see citing works
mTOR, translation initiation and cancer
Mamane, Y., Petroulakis, E., LeBacquer, O., & Sonenberg, N. (2006) · Oncogene · doi:10.1038/sj.onc.1209888 · Cited by 607 · see citing works
Transient ribosomal attenuation coordinates protein synthesis and co-translational folding
Zhang, G., Hubalewska, M., & Ignatova, Z. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1554 · Cited by 551 · see citing works
The Ribosomal Exit Tunnel Functions as a Discriminating Gate
Nakatogawa, H., & Ito, K. (2002) · Cell · doi:10.1016/s0092-8674(02)00649-9 · Cited by 534 · see citing works
Hsu, F., Kent, W. J., Clawson, H., Kuhn, R. M., Diekhans, M., & Haussler, D. H. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl048 · Cited by 503 · see citing works
Hann, S. R., King, M. W., Bentley, D. L., Anderson, C. W., & Eisenman, R. N. (1988) · Cell · doi:10.1016/0092-8674(88)90507-7 · Cited by 474 · see citing works
Mass spectrometry in high-throughput proteomics: ready for the big time
Nilsson, T., Mann, M., Aebersold, R., Yates, J. R., Bairoch, A., & Bergeron, J. J. M. (2010) · Nature Methods · doi:10.1038/nmeth0910-681 · Cited by 470 · see citing works
Ribosome pausing and stacking during translation of a eukaryotic mRNA.
Wolin, S. L., & Walter, P. (1988) · The EMBO Journal · doi:10.1002/j.1460-2075.1988.tb03233.x · Cited by 454 · see citing works
Translational Pausing Ensures Membrane Targeting and Cytoplasmic Splicing of <i>XBP1u</i> mRNA
Yanagitani, K., Kimata, Y., Kadokura, H., & Kohno, K. (2011) · Science · doi:10.1126/science.1197142 · Cited by 362 · see citing works
Small Peptides Switch the Transcriptional Activity of Shavenbaby During Drosophila Embryogenesis
Kondo, T., Plaza, S., Zanet, J., Benrabah, E., Valenti, P., Hashimoto, Y., Kobayashi, S., Payre, F., & Kageyama, Y. (2010) · Science · doi:10.1126/science.1188158 · Cited by 348 · see citing works
Regulation of gene expression by alternative untranslated regions
Hughes, T. A. (2006) · Trends in Genetics · doi:10.1016/j.tig.2006.01.001 · Cited by 338 · see citing works
ECSIT is an evolutionarily conserved intermediate in the Toll/IL-1 signal transduction pathway
Kopp, E., Medzhitov, R., Carothers, J., Xiao, C., Douglas, I., Janeway, C. A., & Ghosh, S. (1999) · Genes & Development · doi:10.1101/gad.13.16.2059 · Cited by 334 · see citing works
Alkalaeva, E. Z., Pisarev, A. V., Frolova, L. Y., Kisselev, L. L., & Pestova, T. V. (2006) · Cell · doi:10.1016/j.cell.2006.04.035 · Cited by 331 · see citing works
A mechanical explanation of RNA pseudoknot function in programmed ribosomal frameshifting
Namy, O., Moran, S. J., Stuart, D. I., Gilbert, R. J. C., & Brierley, I. (2006) · Nature · doi:10.1038/nature04735 · Cited by 330 · see citing works
Lin, F., MacDougald, O. A., Diehl, A. M., & Lane, M. D. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.20.9606 · Cited by 311 · see citing works
Inhibition of translation in eukaryotic systems by harringtonine
FRESNO, M., JIMÉNEZ, A., & VÁZQUEZ, D. (1977) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1977.tb11256.x · Cited by 295 · see citing works
Sampath, P., Pritchard, D. K., Pabon, L., Reinecke, H., Schwartz, S. M., Morris, D. R., & Murry, C. E. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2008.03.013 · Cited by 277 · see citing works
A ribosome-associating factor chaperones tail-anchored membrane proteins
Mariappan, M., Li, X., Stefanovic, S., Sharma, A., Mateja, A., Keenan, R. J., & Hegde, R. S. (2010) · Nature · doi:10.1038/nature09296 · Cited by 274 · see citing works
Leahy, A., Xiong, J., Kuhnert, F., & Stuhlmann, H. (1999) · Journal of Experimental Zoology · doi:10.1002/(sici)1097-010x(19990615)284:1 · Cited by 243 · see citing works
Regulatory Nascent Peptides in the Ribosomal Tunnel
Tenson, T., & Ehrenberg, M. (2002) · Cell · doi:10.1016/s0092-8674(02)00669-4 · Cited by 240 · see citing works
Ribosomal position and contacts of mRNA in eukaryotic translation initiation complexes
Pisarev, A. V., KOLUPAEVA, V. G., Yusupov, M., Hellen, C. U. T., & Pestova, T. V. (2008) · The EMBO Journal · doi:10.1038/emboj.2008.90 · Cited by 227 · see citing works
Ivanov, I. P., Firth, A. E., Michel, A. M., Atkins, J. F., & Baranov, P. V. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr007 · Cited by 225 · see citing works
The Akt of translational control
Ruggero, D., & Sonenberg, N. (2005) · Oncogene · doi:10.1038/sj.onc.1209098 · Cited by 195 · see citing works
Boström, K. B., WETTESTEN, M., Borén, J., Bondjers, G., Wiklund, O., & Olofsson, S. ‐. (1986) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)67090-5 · Cited by 191 · see citing works
Genome-Wide Translational Profiling by Ribosome Footprinting
Ingolia, N. T. (2010) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(10)70006-9 · Cited by 171 · see citing works
Self-citationYanagitani, K., Imagawa, Y., Iwawaki, T., Hosoda, A., Saito, M., Kimata, Y., & Kohno, K. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.02.033 · Cited by 166 · see citing works
Codon Pair Utilization Biases Influence Translational Elongation Step Times
Irwin, B., Heck, J. D., & Hatfield, G. W. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.39.22801 · Cited by 166 · see citing works
Recoding: Expansion of Decoding Rules Enriches Gene Expression
Atkins, J. F., & Gesteland, R. F. (2010) · Nucleic acids and molecular biology · doi:10.1007/978-0-387-89382-2 · Cited by 150 · see citing works
Harringtonine, an Inhibitor of Initiation of Protein Biosynthesis
Huang, M. (1975) · Molecular Pharmacology · doi:10.1016/s0026-895x(25)10662-7 · Cited by 144 · see citing works
Translational control via protein-regulated upstream open reading frames
Medenbach, J., Seiler, M., & Hentze, M. W. (2011) · Cell · doi:10.1016/j.cell.2011.05.005 · Cited by 140 · see citing works
Genetic Identification of Nascent Peptides That Induce Ribosome Stalling
Tanner, D. R., Cariello, D. A., Woolstenhulme, C. J., Broadbent, M. A., & Buskirk, A. R. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.039040 · Cited by 132 · see citing works
Genome annotation past, present, and future: How to define an ORF at each locusPreprint
Brent, M. R. (2005) · Genome Research · doi:10.1101/gr.3866105 · Cited by 130 · see citing works
Identification of putative noncoding polyadenylated transcripts in Drosophila melanogaster
Tupy, J. L., Bailey, A. M., Dailey, G. M., Evans-Holm, M. E., Siebel, C. W., Misra, S., Celniker, S., & Rubin, G. M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501422102 · Cited by 123 · see citing works
Malarkannan, S., Horng, T., Shih, P. P., Schwab, S., & Shastri, N. (1999) · Immunity · doi:10.1016/s1074-7613(00)80067-9 · Cited by 106 · see citing works
Monté, D., Baert, J., Defossez, P., de Launoit, Y., & Stéhelin, D. (1994) · PubMed · Cited by 106 · see citing works
Ivanov, I. P., Loughran, G., & Atkins, J. F. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801590105 · Cited by 103 · see citing works
Hamilton, T. L., Stoneley, M., Spriggs, K. A., & Bushell, M. (2006) · Biochemical Society Transactions · doi:10.1042/bst0340012 · Cited by 91 · see citing works
Altering chemosensitivity by modulating translation elongation
Robert, F., Carrier, M., Rawe, S., Chen, S., Lowe, S., & Pelletier, J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005428 · Cited by 90 · see citing works
Addressing mRNAs to the ER: cis sequences act up!
Kraut‐Cohen, J., & Gerst, J. E. (2010) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2010.02.006 · Cited by 67 · see citing works
Hansen, M. B., Mitchelmore, C., Kjærulff, K. M., Rasmussen, T., Pedersen, K. M., & Jensen, N. A. (2002) · Genomics · doi:10.1006/geno.2002.6838 · Cited by 61 · see citing works
Inhibition of Protein Synthesis in Intact HeLa Cells
Tscherne, J. S., & Pestka, S. (1975) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.8.4.479 · Cited by 58 · see citing works
Role for the Mammalian Swi5-Sfr1 Complex in DNA Strand Break Repair through Homologous Recombination
Akamatsu, Y., & Jasin, M. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001160 · Cited by 58 · see citing works
A distinct translation initiation mechanism generates cryptic peptides for immune surveillance
Starck, S. R., Ow, Y., Jiang, V., Tokuyama, M., Rivera, M., Qi, X., Roberts, R. W., & Shastri, N. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003460 · Cited by 48 · see citing works
Lazarowitz, S. G., & Robertson, H. D. (1977) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)41043-x · Cited by 37 · see citing works
Culture of Mouse Embryonic Stem Cells
Tremml, G., Singer, M. A., & Malavarca, R. (2008) · Current Protocols in Stem Cell Biology · doi:10.1002/9780470151808.sc01c04s5 · Cited by 35 · see citing works
Expression of two novel transcripts in the mouse definitive endoderm
Hassan, A. S., Hou, J., Wei, W., & Hoodless, P. A. (2010) · Gene Expression Patterns · doi:10.1016/j.gep.2010.02.001 · Cited by 31 · see citing works
Genomic organization of the human ERM (ETV5) gene, a PEA3 group member of ETS transcription factors
Monté, D., Coutte, L., Dewitte, F., Defossez, P.-A., Le Coniat, M., Stéhelin, D., Berger, R., & de Launoit, Y. (1996) · Genomics · doi:10.1006/geno.1996.0345 · Cited by 29 · see citing works
Stoneley, M., Hamilton, T. L., Spriggs, K. A., & Bushell, M. (2005) · Biochemical Society Transactions · doi:10.1042/bst20060012 · Cited by 23 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Niwa, H., Ogawa, K., Shimosato, D., and Adachi, K. (2009). A parallel circuit of LIF signalling pathways maintains pluripotency of mouse ES cells. Nature 460, 118–122. · DOI · Paper page
- Tremml, G., Singer, M., and Malavarca, R. (2008). Culture of mouse embryonic stem cells. In Current Protocols in Stem Cell Biology Chapter 1, Unit 1C 4. · DOI
Cited by
Sorted by citations
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585 · see citing works
Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
Vogel, C., & Marcotte, E. M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3185 · Cited by 4,195 · see citing works
Genome Regulation by Long Noncoding RNAs
Rinn, J. L., & Chang, H. Y. (2012) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-051410-092902 · Cited by 4,011 · see citing works
Unique features of long non-coding RNA biogenesis and function
Quinn, J. J., & Chang, H. Y. (2015) · Nature Reviews Genetics · doi:10.1038/nrg.2015.10 · Cited by 3,653 · see citing works
lincRNAs: Genomics, Evolution, and Mechanisms
Ulitsky, I., & Bartel, D. P. (2013) · Cell · doi:10.1016/j.cell.2013.06.020 · Cited by 2,596 · see citing works
Long Noncoding RNAs: Cellular Address Codes in Development and Disease
Batista, P. J., & Chang, H. Y. (2013) · Cell · doi:10.1016/j.cell.2013.02.012 · Cited by 2,531 · see citing works
Modular regulatory principles of large non-coding RNAs
Guttman, M., & Rinn, J. L. (2012) · Nature · doi:10.1038/nature10887 · Cited by 2,257 · see citing works
Long noncoding RNAs: past, present, and future
Kung, J. T. Y., Colognori, D., & Lee, J. T. (2013) · Genetics · doi:10.1534/genetics.112.146704 · Cited by 1,874 · see citing works
Mass-spectrometry-based draft of the human proteome
Wilhelm, M., Schlegl, J., Hahne, H., Gholami, A. M., Lieberenz, M., Savitski, M. M., Ziegler, E., Butzmann, L., Gessulat, S., Marx, H., et al. (2014) · Nature · doi:10.1038/nature13319 · Cited by 1,820 · see citing works
Non-coding RNAs in Development and Disease: Background, Mechanisms, and Therapeutic Approaches
Beermann, J., Piccoli, M.-T., Viereck, J., & Thum, T. (2016) · Physiological Reviews · doi:10.1152/physrev.00041.2015 · Cited by 1,727 · see citing works
m 6 A mRNA methylation facilitates resolution of naïve pluripotency toward differentiation
Geula, S., Moshitch-Moshkovitz, S., Dominissini, D., Mansour, A. A., Kol, N., Salmon‐Divon, M., Hershkovitz, V., Peer, E., Mor, N., Manor, Y. S., et al. (2015) · Science · doi:10.1126/science.1261417 · Cited by 1,560 · see citing works
LNCcation: lncRNA localization and function
Bridges, M. C., Daulagala, A. C., & Kourtidis, A. (2021) · Journal of Cell Biology · doi:10.1083/jcb.202009045 · Cited by 1,556 · see citing works
Structure and function of long noncoding RNAs in epigenetic regulation
Mercer, T. R., & Mattick, J. S. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2480 · Cited by 1,436 · see citing works
Cellular functions of long noncoding RNAs
Yao, R.-W., Wang, Y., & Chen, L. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0311-8 · Cited by 1,381 · see citing works
mRNAs, proteins and the emerging principles of gene expression control
Buccitelli, C., & Selbach, M. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0258-4 · Cited by 1,243 · see citing works
The functions and unique features of long intergenic non-coding RNA
Ransohoff, J. D., Wei, Y., & Khavari, P. A. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.104 · Cited by 1,337 · see citing works
m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells
Batista, P. J., Molinié, B., Wang, J., Qu, K., Zhang, J., Li, L., Bouley, D. M., Lujan, E., Haddad, B., Daneshvar, K., et al. (2014) · Cell stem cell · doi:10.1016/j.stem.2014.09.019 · Cited by 1,276 · see citing works
Ingolia, N. T., Brar, G. A., Rouskin, S., McGeachy, A. M., & Weissman, J. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.086 · Cited by 1,240 · see citing works
Self-citationLi, G., Burkhardt, D. H., Gross, C. A., & Weissman, J. S. (2014) · Cell · doi:10.1016/j.cell.2014.02.033 · Cited by 1,218 · see citing works
Self-citationVu, L., Pickering, B. F., Cheng, Y., Zaccara, S., Nguyen, D. T. T., Minuesa, G., Chou, T., Chow, A., Saletore, Y., MacKay, M. J., et al. (2017) · Nature Medicine · doi:10.1038/nm.4416 · Cited by 1,250 · see citing works
The Landscape of long noncoding RNA classification
Laurent, G. S., Wahlestedt, C., & Kapranov, P. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.03.007 · Cited by 1,192 · see citing works
Mechanisms of long noncoding RNA function in development and disease
Schmitz, S. U., Grote, P., & Herrmann, B. G. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2174-5 · Cited by 1,088 · see citing works
c-Myc Is a Universal Amplifier of Expressed Genes in Lymphocytes and Embryonic Stem Cells
Nie, Z., Hu, G., Wei, G., Cui, K., Yamane, A., Resch, W., Wang, R., Green, D. R., Tessarollo, L., Casellas, R. C., et al. (2012) · Cell · doi:10.1016/j.cell.2012.08.033 · Cited by 1,075 · see citing works
Roles, Functions, and Mechanisms of Long Non-Coding RNAs in Cancer
Fang, Y., & Fullwood, M. J. (2016) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2015.09.006 · Cited by 1,072 · see citing works
The dynamic N1-methyladenosine methylome in eukaryotic messenger RNA
Dominissini, D., Nachtergaele, S., Moshitch-Moshkovitz, S., Peer, E., Kol, N., Ben-Haim, M. S., Dai, Q., Segni, A. D., Salmon‐Divon, M., Clark, W. C., et al. (2016) · Nature · doi:10.1038/nature16998 · Cited by 1,026 · see citing works
Anti-tumour immunity controlled through mRNA m6A methylation and YTHDF1 in dendritic cells
Han, D., Liu, J., Chen, C., Dong, L., Liu, Y., Chang, R., Huang, X., Liu, Y., Wang, J., Dougherty, U., et al. (2019) · Nature · doi:10.1038/s41586-019-0916-x · Cited by 955 · see citing works
A Long Noncoding RNA Mediates Both Activation and Repression of Immune Response Genes
Carpenter, S. B., Aiello, D. A., Atianand, M., Ricci, E. P., Gandhi, P., Hall, L. L., Byron, M., Monks, B. G., Henry-Bezy, M., Lawrence, J. B., et al. (2013) · Science · doi:10.1126/science.1240925 · Cited by 946 · see citing works
Braveheart, a Long Noncoding RNA Required for Cardiovascular Lineage Commitment
Klattenhoff, C., Scheuermann, J. C., Surface, L. E., Bradley, R. K., Fields, P., Steinhauser, M. L., Ding, H., Butty, V. L., Sosa, L. T., Haas, S. F., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.003 · Cited by 910 · see citing works
Non-coding RNA: what is functional and what is junk?
Palazzo, A. F., & Lee, E. S. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2015.00002 · Cited by 891 · see citing works
Intragenic DNA methylation prevents spurious transcription initiation
Neri, F., Rapelli, S., Krepelova, A., Incarnato, D., Parlato, C., Basile, G., Maldotti, M., Anselmi, F., & Oliviero, S. (2017) · Nature · doi:10.1038/nature21373 · Cited by 739 · see citing works
Codon Bias as a Means to Fine-Tune Gene Expression
Quax, T. E. F., Claassens, N. J., Söll, D. G., & John van der, O. O. S. T. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.05.035 · Cited by 779 · see citing works
Structural imprints in vivo decode RNA regulatory mechanisms
Spitale, R. C., Flynn, R. A., Zhang, Q. C., Crisalli, P., Lee, B., Jung, J., Kuchelmeister, H. Y., Batista, P. J., Torre, E. A., Kool, E. T., et al. (2015) · Nature · doi:10.1038/nature14263 · Cited by 745 · see citing works
Ribosome Profiling Provides Evidence that Large Noncoding RNAs Do Not Encode Proteins
Guttman, M., Russell, P., Ingolia, N. T., Weissman, J. S., & Lander, E. S. (2013) · Cell · doi:10.1016/j.cell.2013.06.009 · Cited by 745 · see citing works
Self-citationHangauer, M. J., Vaughn, I. W., & McManus, M. T. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003569 · Cited by 738 · see citing works
Specialized ribosomes: a new frontier in gene regulation and organismal biology
Xue, S., & Barna, M. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3359 · Cited by 687 · see citing works
The coding capacity of SARS-CoV-2
Finkel, Y., Mizrahi, O., Nachshon, A., Weingarten-Gabbay, S., Morgenstern, D., Yahalom-Ronen, Y., Tamir, H., Achdout, H., Stein, D., Israeli, O., et al. (2021) · Nature · doi:10.1038/s41586-020-2739-1 · Cited by 644 · see citing works
Peptidomic discovery of short open reading frame–encoded peptides in human cells
Slavoff, S. A., Mitchell, A. J., Schwaid, A. G., Cabili, M. N., Ma, J., Levin, J. Z., Karger, A., Budnik, B., Rinn, J. L., & Saghatelian, A. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.1120 · Cited by 678 · see citing works
Bazzini, A., Johnstone, T. G., Christiano, R., Mackowiak, S. D., Obermayer, B., Fleming, E. S., Vejnar, C. E., Lee, M. T., Rajewsky, N., Walther, T. C., et al. (2014) · The EMBO Journal · doi:10.1002/embj.201488411 · Cited by 657 · see citing works
Pervasive functional translation of noncanonical human open reading frames
Chen, J., Brunner, A., Cogan, J. Z., Nuñez, J. K., Fields, A. P., Adamson, B., Itzhak, D. N., Li, J. Y., Mann, M., Leonetti, M. D., et al. (2020) · Science · doi:10.1126/science.aay0262 · Cited by 654 · see citing works
Self-citationFunctional interactions among microRNAs and long noncoding RNAs
Yoon, J., Abdelmohsen, K., & Gorospe, M. (2014) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2014.05.015 · Cited by 658 · see citing works
Ribosome Profiling Reveals Pervasive Translation Outside of Annotated Protein-Coding Genes
Ingolia, N. T., Brar, G. A., Stern‐Ginossar, N., Harris, M. S., Talross, G. J. S., Jackson, S. E., Wills, M. R., & Weissman, J. S. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.07.045 · Cited by 644 · see citing works
Self-citationmTORC1 and muscle regeneration are regulated by the LINC00961-encoded SPAR polypeptide
Matsumoto, A., Pasut, A., Matsumoto, M., Yamashita, R., Fung, J., Monteleone, E., Saghatelian, A., Nakayama, K., Clohessy, J., & Pandolfi, P. (2016) · Nature · doi:10.1038/nature21034 · Cited by 594 · see citing works
Intrinsic retroviral reactivation in human preimplantation embryos and pluripotent cells
Grow, E. J., Flynn, R. A., Chavez, S. L., Bayless, N. L., Wossidlo, M., Wesche, D. J., Martin, L., Ware, C. B., Blish, C. A., Chang, H. Y., et al. (2015) · Nature · doi:10.1038/nature14308 · Cited by 647 · see citing works
Sidrauski, C., McGeachy, A. M., Ingolia, N. T., & Walter, P. (2015) · eLife · doi:10.7554/elife.05033 · Cited by 616 · see citing works
Self-citationThe anti-Shine–Dalgarno sequence drives translational pausing and codon choice in bacteria
Li, G., Oh, E., & Weissman, J. S. (2012) · Nature · doi:10.1038/nature10965 · Cited by 640 · see citing works
Self-citationRibosome profiling: new views of translation, from single codons to genome scale
Ingolia, N. T. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3645 · Cited by 636 · see citing works
Self-citationEmerging functional and mechanistic paradigms of mammalian long non-coding RNAs
Moran, V. A., Perera, R. J., & Khalil, A. M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks296 · Cited by 637 · see citing works
Posttranscriptional Gene Regulation by Long Noncoding RNA
Yoon, J., Abdelmohsen, K., & Gorospe, M. (2012) · Journal of Molecular Biology · doi:10.1016/j.jmb.2012.11.024 · Cited by 628 · see citing works
Yu, C., Dang, Y., Zhou, Z., Wu, C., Zhao, F., Sachs, M. S., & Liu, Y. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.07.018 · Cited by 605 · see citing works
Toddler: An Embryonic Signal That Promotes Cell Movement via Apelin Receptors
Pauli, A., Norris, M. L., Valen, E., Chew, G.-L., Gagnon, J. A., Zimmerman, S., Mitchell, A., Ma, J., Dubrulle, J., Reyon, D., et al. (2014) · Science · doi:10.1126/science.1248636 · Cited by 622 · see citing works
Towards a complete map of the human long non-coding RNA transcriptome
Uszczyńska-Ratajczak, B., Lagarde, J., Frankish, A., Guigó, R., & Johnson, R. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0017-y · Cited by 611 · see citing works
Global mapping of translation initiation sites in mammalian cells at single-nucleotide resolution
Lee, S., Liu, B., Lee, S., Huang, S., Shen, B., & Qian, S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207846109 · Cited by 595 · see citing works
Decoding Human Cytomegalovirus
Stern-Ginossar, N., Weisburd, B., Michalski, A., Le, V. T. K., Hein, M. Y., Huang, S.-X., Ma, M., Shen, B., Qian, S.-B., Hengel, H., et al. (2012) · Science · doi:10.1126/science.1227919 · Cited by 589 · see citing works
Self-citationHigh-Resolution View of the Yeast Meiotic Program Revealed by Ribosome Profiling
Brar, G. A., Yassour, M., Friedman, N., Regev, A., Ingolia, N. T., & Weissman, J. S. (2012) · Science · doi:10.1126/science.1215110 · Cited by 533 · see citing works
Self-citationJi, Z., Song, R., Regev, A., & Struhl, K. (2015) · eLife · doi:10.7554/elife.08890 · Cited by 571 · see citing works
Structural basis for the inhibition of the eukaryotic ribosome
de Loubresse, N. G., Prokhorova, I., Holtkamp, W., Rodnina, M., Yusupova, G., & Yusupov, M. (2014) · Nature · doi:10.1038/nature13737 · Cited by 532 · see citing works
Detection and Quantitation of Circulating Human Irisin by Tandem Mass Spectrometry
Jedrychowski, M. P., Wrann, C. D., Paulo, J. A., Gerber, K. K., Szpyt, J., Robinson, M. M., Nair, K. S., Gygi, S. P., & Spiegelman, B. M. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.08.001 · Cited by 568 · see citing works
Optimization of Codon Translation Rates via tRNA Modifications Maintains Proteome Integrity
Nedialkova, D. D., & Leidel, S. A. (2015) · Cell · doi:10.1016/j.cell.2015.05.022 · Cited by 546 · see citing works
Emerging evidence for functional peptides encoded by short open reading frames
Andrews, S. J., & Rothnagel, J. A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3520 · Cited by 547 · see citing works
Transcriptome-wide measurement of translation by ribosome profiling
McGlincy, N. J., & Ingolia, N. T. (2017) · Methods · doi:10.1016/j.ymeth.2017.05.028 · Cited by 547 · see citing works
Self-citationLong non-coding RNAs as a source of new peptides
Ruiz‐Orera, J., Messeguer, X., Subirana, J. A., & Albà, M. M. (2014) · eLife · doi:10.7554/elife.03523 · Cited by 537 · see citing works
Martin, M., Maßhöfer, L., Ketteler, P., Rahmann, S., Metz, C. H. D., Bornfeld, N., van de Nes, J. A. P., Klein‐Hitpaß, L., Hinnebusch, A. G., Horsthemke, B., et al. (2013) · Nature Genetics · doi:10.1038/ng.2674 · Cited by 536 · see citing works
Emerging role of tumor-related functional peptides encoded by lncRNA and circRNA
Wu, P., Mo, Y., Miao, P., Tang, T. F., Zhong, Y. M., Deng, X., Xiong, F., Guo, C. J., Wu, X., Li, Y., et al. (2020) · Molecular Cancer · doi:10.1186/s12943-020-1147-3 · Cited by 533 · see citing works
Ribosome profiling reveals the what, when, where and how of protein synthesis
Brar, G. A., & Weissman, J. S. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm4069 · Cited by 534 · see citing works
Self-citationlncRNAdb v2.0: expanding the reference database for functional long noncoding RNAs
Quek, X. C., Thomson, D. W., Mååg, J. L. V., Bartoniček, N., Signal, B., Clark, M. B., Gloss, B., & Dinger, M. E. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku988 · Cited by 529 · see citing works
Transcriptome-wide Regulation of Pre-mRNA Splicing and mRNA Localization by Muscleblind Proteins
Wang, E. T., Cody, N. A. L., Jog, S., Biancolella, M., Wang, T. T., Treacy, D. J., Luo, S., Schroth, G. P., Housman, D. E., Reddy, S., et al. (2012) · Cell · doi:10.1016/j.cell.2012.06.041 · Cited by 490 · see citing works
Pseudouridylation of tRNA-Derived Fragments Steers Translational Control in Stem Cells
Guzzi, N., Cieśla, M., Ngoc, P. C. T., Lang, S., Arora, S., Dimitriou, M., Pimková, K., Sommarin, M. N. E., Munita, R., Lubas, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.008 · Cited by 521 · see citing works
Identification of protein coding regions in RNA transcripts
Tang, S., Lomsadze, A., & Borodovsky, M. Y. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv227 · Cited by 511 · see citing works
Alternative splicing in plants – coming of age
Syed, N. H., Kalyna, M., Márquez, Y., Barta, A., & Brown, J. W. S. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2012.06.001 · Cited by 508 · see citing works
Translation dynamics of single mRNAs in live cells and neurons
Wu, B., Eliscovich, C., Yoon, Y. J., & Singer, R. H. (2016) · Science · doi:10.1126/science.aaf1084 · Cited by 497 · see citing works
A Dual Program for Translation Regulation in Cellular Proliferation and Differentiation
Gingold, H., Tehler, D., Christoffersen, N. R., Nielsen, M. M., Asmar, F., Kooistra, S. M., Christophersen, N. S., Christensen, L. L., Borre, M., Sørensen, K. D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.011 · Cited by 487 · see citing works
Mettl3-/Mettl14-mediated mRNA N6-methyladenosine modulates murine spermatogenesis
Lin, Z., Hsu, P. J., Xing, X., Fang, J., Lu, Z., Zou, Q., Zhang, K., Zhang, X., Zhou, Y., Zhang, T., et al. (2017) · Cell Research · doi:10.1038/cr.2017.117 · Cited by 496 · see citing works
Dynamics of Translation of Single mRNA Molecules In Vivo
Yan, X., Hoek, T. A., Vale, R. D., & Tanenbaum, M. E. (2016) · Cell · doi:10.1016/j.cell.2016.04.034 · Cited by 479 · see citing works
A triple helix stabilizes the 3′ ends of long noncoding RNAs that lack poly(A) tailsPreprint
Wilusz, J. E., JnBaptiste, C. K., Lu, L. Y., Kuhn, C., Joshua‐Tor, L., & Sharp, P. A. (2012) · Genes & Development · doi:10.1101/gad.204438.112 · Cited by 487 · see citing works
eIF5A Functions Globally in Translation Elongation and Termination
Schuller, A. P., Wu, C. C., Dever, T. E., Buskirk, A. R., & Green, R. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.03.003 · Cited by 479 · see citing works
CGG Repeat-Associated Translation Mediates Neurodegeneration in Fragile X Tremor Ataxia Syndrome
Todd, P. K., Oh, S. Y., Krans, A., He, F., Sellier, C., Frazer, M. A., Renoux, A. J., Chen, K.-C., Scaglione, K. M., Basrur, V., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.026 · Cited by 471 · see citing works
Non-canonical translation in RNA viruses
Firth, A. E., & Brierley, I. (2012) · Journal of General Virology · doi:10.1099/vir.0.042499-0 · Cited by 467 · see citing works
Stem cell function and stress response are controlled by protein synthesis
Blanco, S., Bandiera, R., Popis, M. C., Hussain, S., Lombard, P., Aleksic, J., Sajini, A. A., Tanna, H., Cortés-Garrido, R., Gkatza, N. A., et al. (2016) · Nature · doi:10.1038/nature18282 · Cited by 467 · see citing works
Dynamic profiling of the protein life cycle in response to pathogens
Jovanovic, M., Rooney, M. S., Mertins, P., Przybylski, D., Chevrier, N., Satija, R., Rodriguez, E. H., Fields, A. P., Schwartz, S., Raychowdhury, R., et al. (2015) · Science · doi:10.1126/science.1259038 · Cited by 460 · see citing works
Self-citationDynamic Axonal Translation in Developing and Mature Visual Circuits
Shigeoka, T., Jung, H., Jung, J., Turner-Bridger, B., Ohk, J., Lin, J. Q., Amieux, P. S., & Holt, C. E. (2016) · Cell · doi:10.1016/j.cell.2016.05.029 · Cited by 458 · see citing works
Ribosome stalling induced by mutation of a CNS-specific tRNA causes neurodegeneration
Ishimura, R., Nagy, G., Dotu, I., Zhou, H., Yang, X.-L., Schimmel, P., Senju, S., Nishimura, Y., Chuang, J. H., & Ackerman, S. L. (2014) · Science · doi:10.1126/science.1249749 · Cited by 455 · see citing works
Weinberg, D. E., Shah, P., Eichhorn, S. W., Hussmann, J. A., Plotkin, J. B., & Bartel, D. P. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.01.043 · Cited by 392 · see citing works
Revealing lncRNA Structures and Interactions by Sequencing-Based Approaches
Qian, X., Zhao, J., Yeung, P. Y., Zhang, Q. C., & Kwok, C. K. (2018) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2018.09.012 · Cited by 436 · see citing works
The mammalian ribo-interactome reveals ribosome functional diversity and heterogeneity
Simsek, D., Tiu, G. C., Flynn, R. A., Byeon, G. W., Leppek, K., Xu, A. F., Chang, H. Y., & Barna, M. (2017) · Cell · doi:10.1016/j.cell.2017.05.022 · Cited by 439 · see citing works
Cytoplasmic functions of long noncoding RNAs
Noh, J. H., Kim, K. M., McClusky, W. G., Abdelmohsen, K., & Gorospe, M. (2018) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1471 · Cited by 428 · see citing works
ZNF598 Is a Quality Control Sensor of Collided Ribosomes
Juszkiewicz, S., Chandrasekaran, V., Lin, Z., Kraatz, S. H. W., Ramakrishnan, V., & Hegde, R. S. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.08.037 · Cited by 429 · see citing works
Regulation of Transcription by Long Noncoding RNAs
Bonasio, R., & Shiekhattar, R. (2014) · Annual Review of Genetics · doi:10.1146/annurev-genet-120213-092323 · Cited by 424 · see citing works
Long non-coding RNAs in the regulation of the immune response
Heward, J. A., & Lindsay, M. A. (2014) · Trends in Immunology · doi:10.1016/j.it.2014.07.005 · Cited by 418 · see citing works
Structural Enzymology of Nitrogenase Enzymes
Einsle, O., & Rees, D. C. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00067 · Cited by 420 · see citing works
Ribosome Footprint Profiling of Translation throughout the Genome
Ingolia, N. T. (2016) · Cell · doi:10.1016/j.cell.2016.02.066 · Cited by 404 · see citing works
Self-citationLong Non-Coding RNAs in the Cytoplasm
Rashid, F., Shah, A., & Shan, G. (2016) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2016.03.005 · Cited by 408 · see citing works
Translation drives mRNA quality control
Shoemaker, C. J., & Green, R. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2301 · Cited by 397 · see citing works
From Discovery to Function: The Expanding Roles of Long NonCoding RNAs in Physiology and Disease
Sun, M., & Kraus, W. L. (2014) · Endocrine Reviews · doi:10.1210/er.2014-1034 · Cited by 392 · see citing works
Translational dynamics revealed by genome-wide profiling of ribosome footprints in Arabidopsis
Juntawong, P., Girke, T., Bazin, J., & Bailey-Serres, J. N. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317811111 · Cited by 391 · see citing works
Long Noncoding RNA Modulates Alternative Splicing Regulators in Arabidopsis
Bardou, F., Ariel, F., Simpson, C. G., Romero-Barrios, N., Laporte, P., Balzergue, S., Brown, J. W. S., & Crespi, M. D. (2014) · Developmental Cell · doi:10.1016/j.devcel.2014.06.017 · Cited by 391 · see citing works
Translation from the 5′ untranslated region shapes the integrated stress response
Starck, S. R., Tsai, J. C., Chen, K., Shodiya, M., Wang, L., Yahiro, K., Martins‐Green, M. M., Shastri, N., & Walter, P. (2016) · Science · doi:10.1126/science.aad3867 · Cited by 390 · see citing works
Principles of Translational Control: An OverviewPreprint
Hershey, J. W. B., Sonenberg, N., & Mathews, M. B. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a011528 · Cited by 390 · see citing works
Hunt, R., Simhadri, V. L., Iandoli, M., Sauna, Z. E., & Kimchi‐Sarfaty, C. (2014) · Trends in Genetics · doi:10.1016/j.tig.2014.04.006 · Cited by 386 · see citing works
Ribosome profiling reveals pervasive and regulated stop codon readthrough in Drosophila melanogaster
Dunn, J. G., Foo, C. K., Belletier, N. G., Gavis, E. R., & Weissman, J. S. (2013) · eLife · doi:10.7554/elife.01179 · Cited by 381 · see citing works
Self-citationNon-AUG translation: a new start for protein synthesis in eukaryotesPreprint
Kearse, M. G., & Wilusz, J. E. (2017) · Genes & Development · doi:10.1101/gad.305250.117 · Cited by 382 · see citing works
- Authors
- Ingolia, N. T., Lareau, L. F., & Weissman, J. S.
- Affiliations
- QB3 (US)
- Stanford University (US)
- Corresponding author
- Ingolia, Nicholas T.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 147
- Issue
- 4
- Pages
- 789-802
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3225288
- OpenAlex
- W2071849521
- Cited by
- 2,187
- References
- 86
- Citations by year
- 2026: 96 · 2025: 127 · 2024: 136 · 2023: 143 · 2022: 135 · 2021: 153 · 2020: 189 · 2019: 134 · 2018: 167 · 2017: 164 · 2016: 168 · 2015: 154 · 2014: 171 · 2013: 139 · 2012: 102
- FWCI
- 54.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 624 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- Damon Runyon Cancer Research Foundation (DRG-2033-09)
- National Institutes of Health (AG10770)
- National Institute on Aging (P01 AG10770, P01AG010770)
- National Institute of General Medical Sciences (F32GM080853, GM080853)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- ribosome profiling, mouse embryonic stem cells, translation elongation, pause sites, harringtonine, translation initiation, upstream open reading frames, amino-terminal extension, protein truncation, small proteins, proteome complexity, cell differentiation
- MeSH terms
- Algorithms, Animals, Artificial Intelligence, Harringtonines, Kinetics, Peptide Chain Initiation, Translational, Ribosomes, RNA, Protein Biosynthesis, Open Reading Frames, Sequence Analysis, RNA, Genomics, Mice, Embryonic Stem Cells, Embryoid Bodies, High-Throughput Nucleotide Sequencing
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 2026-10-05.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-05.
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