Locus co-occupancy, nucleosome positioning, and H3K4me1 regulate the functionality of FOXA2-, HNF4A-, and PDX1-bound loci in islets and liver
Open accessAbstract
The liver and pancreas share a common origin and coexpress several transcription factors. To gain insight into the transcriptional networks regulating the function of these tissues, we globally identify binding sites for FOXA2 in adult mouse islets and liver, PDX1 in islets, and HNF4A in liver. Because most eukaryotic transcription factors bind thousands of loci, many of which are thought to be inactive, methods that can discriminate functionally active binding events are essential for the interpretation of genome-wide transcription factor binding data. To develop such a method, we also generated genome-wide H3K4me1 and H3K4me3 localization data in these tissues. By analyzing our binding and histone methylation data in combination with comprehensive gene expression data, we show that H3K4me1 enrichment profiles discriminate transcription factor occupied loci into three classes: those that are functionally active, those that are poised for activation, and those that reflect pioneer-like transcription factor activity. Furthermore, we demonstrate that the regulated presence of H3K4me1-marked nucleosomes at transcription factor occupied promoters and enhancers controls their activity, implicating both tissue-specific transcription factor binding and nucleosome remodeling complex recruitment in determining tissue-specific gene expression. Finally, we apply these approaches to generate novel insights into how FOXA2, PDX1, and HNF4A cooperate to drive islet- and liver-specific gene expression.
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Written from the paper’s full text.
TL;DR
Genome-wide ChIP-seq in adult mouse islets and liver shows that FOXA2, PDX1, and HNF4A occupy thousands of loci, but H3K4me1 enrichment profiles distinguish functionally active bimodal sites from monomodal poised sites and low-H3K4me1 pioneer-like sites. Bimodal, co-occupied loci are associated with higher and more tissue-specific target gene expression, linking nucleosome positioning and transcription factor co-occupancy to islet- and liver-specific transcription.
Key findings
- ChIP-seq identified 7189 FOXA2- and 13,448 PDX1-occupied loci in islets, and 12,494 HNF4A-occupied loci in liver; reprocessing published FOXA2 liver data identified 10,701 loci.
- H3K4me1 profiles separated transcription factor occupied loci into three classes: bimodal, monomodal, and low H3K4me1. Genes with bimodal loci had significantly higher expression (P < 0.001) and greater tissue specificity (P < 0.001) than genes with monomodal or low-H3K4me1 loci; 33 of 41 (80%, P < 0.05) FOXA2 bimodal target genes tested by RT-qPCR were altered by Foxa2 siRNA.
- FOXA2 binding was tissue-specific: 1770 sites were shared between islets and liver, 5419 were islet-specific, and 8931 were liver-specific. Genes with islet-specific bimodal sites had higher islet expression, and vice versa; >55% of monomodal loci in one tissue were bimodal in the other.
- Co-occupancy at bimodal sites was associated with stronger tissue-specific expression: 1914 FOXA2-PDX1 co-bound islet loci and 3236 FOXA2-HNF4A co-bound liver loci were identified; genes with FOXA2-PDX1 sites had median islet tag count ~1.43 higher and ~2.43 higher islet specificity, while FOXA2-HNF4A sites had median liver tag count ~1.73 higher and ~5.23 higher liver specificity.
Methods
- ChIP-seq was performed for FOXA2 in adult mouse islets and liver, PDX1 in islets, HNF4A in liver, and H3K4me1/H3K4me3 in islets and liver, using Illumina 1G sequencing and mm8 alignment; enriched regions were thresholded at FDR 0.01.
- H3K4me1/me3 profiles were quantified in 62-kb windows around peak maxima; loci were classified as bimodal, monomodal, or low H3K4me1, with high-confidence calls using Pearson correlation ≥0.35 to mean profiles.
- Expression and validation analyses used Tag-seq and SAGE libraries, siRNA suppression of Pdx1 in islets, published Foxa2/Hnf4a knockout microarray data, motif discovery with GADEM, and MNase-qPCR nucleosome mapping.
Limitations
- The paper states it cannot determine the positioning or presence of nucleosomes at sites with little or no associated H3K4me1.
- The paper states that enriched regions were associated only with the closest RefSeq gene within 50 kb, which may miss binding sites that regulate several neighboring genes.
- No equivalent adult-specific Pdx1 knockout data were available, so Pdx1 suppression by siRNA in islets was used instead; the text also notes that H3.3 replacement at central nucleosomes may contribute to monomodal profiles, which was not fully resolved.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
7 of 12 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Findingown data
Reprocessing previously published FOXA2 ChIP-seq data from liver with current methods identified 10,701 occupied loci.
“Reprocessing previously published FOXA2 ChIP-seq data from liver (Wederell et al. 2008) with current methods identified 10,701 occupied loci”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wederell et al. 2008 source
- Premisecitation
FOXA2 is a well-established pioneer factor.
“FOXA2 is a wellestablished pioneer factor (Sekiya et al. 2009), while HNF4A and PDX1 are not.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Sekiya et al. 2009 source
- Premisecitation
PDX1 interacts with PBX1.
“PDX1 does, though, interact with PBX1 (Liu et al. 2001;Oliver-Krasinski et al. 2009), which can bind closed chromatin (Berkes et al. 2004), and it is possible that these sites represent pioneer activity of one of PDX1's binding partners.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Liu et al. 2001 source
- cites Oliver-Krasinski et al. 2009 source
The section on Pdx1 protein interactions reports a physical association with Hnf6, and the Discussion identifies Hnf6 as a Pdx1 partner. Searches for Pbx1 and Pdx1–Pbx1 interaction found no passage in our copy addressing whether those proteins interact; the Hnf6 finding does not rule it out. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Findingown data
Genes altered by Foxa2 or Hnf4a disruption, or Pdx1 suppression, were enriched in bimodal loci, but not in monomodal or low H3K4me1 loci.
“we found that genes altered by Foxa2 or Hnf4a disruption, or Pdx1 suppression, were enriched in bimodal loci, but not in monomodal or low H3K4me1 loci”
Quote in the paperSubstantial claim - Findingown data
Sites that were bimodal in one tissue and monomodal in the other were significantly taller in the tissue containing the bimodal site.
“Sites that were bimodal in one tissue and monomodal in the other, however, were significantly taller in the tissue containing the bimodal site.”
Quote in the paperSubstantial claim
- Findingown data
Genes with FOXA2-PDX1 co-occupied sites in islets were more frequently associated with KEGG pathways 'Neuroactive ligand-receptor interaction' (5.5-fold, P=2.35e-5), 'Arginine and proline metabolism' (4.6-fold, P=5.15e-4), and 'Maturity onset diabetes of the young' (3.7-fold, P=9.39e-3) than singly bound sites.
“we found that genes with FOXA2-PDX1 co-occupied sites in islets were more frequently associated with the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways ''Neuroactive ligand-receptor interaction'' (5.5-fold increase, P = 2.35 3 10 À5 ), ''Arginine and proline metabolism'' (4.6-fold increase, P = 5.15 3 10 À4 ), and ''Maturity onset diabetes of the young'' (3.7-fold increase, P = 9.39 3 10”
Quote in the paperSubstantial claim - Findingown data
Genes with associated bimodal loci had significantly higher expression (P < 0.001) than genes with associated monomodal or low H3K4me1 loci.
“We found that genes with associated bimodal loci had significantly higher expression (P < 0.001) than genes with associated monomodal or low H3K4me1 loci”
Quote in the paperSubstantial claim - Findingown data
Low H3K4me1 loci occurred significantly more often (P < 1.5e-8) in genomic regions that contain no active genes or in non-genic regions than bimodal or monomodal loci.
“Loci in the low H3K4me1 class occurred significantly more often (P < 1.5 3 10 À8 ) in genomic regions that contain no active genes (identified as contiguous regions of the genome lacking expressed genes formed by overlapping the regulatory regions 650 kb from the TSSs of non-expressed genes), or in non-genic regions”
Quote in the paperSubstantial claim - Findingown data
H3K4me1 enrichment profiles associated with transcription factor occupied loci fall into three classes: bimodal, monomodal, and low.
“Unexpectedly, we found three classes of H3K4me1 enrichment profiles associated with the identified loci”
- Also stated in: § Transcription factor occupied loci display three patterns of H3K4 methylation · hedged
“In sum, these data indicate that H3K4me1 profiles can be used to classify transcription factor occupied loci into three distinct subsets: those with a bimodal, a monomodal, or a low H3K4me1 profile.”
Quote in the paperSubstantial claim - Also stated in: § Transcription factor occupied loci display three patterns of H3K4 methylation · hedged
- Findingown data
Genes with FOXA2-HNF4A co-occupied sites in liver were more frequently associated with KEGG pathways 'PPAR signaling pathway' (3.8-fold, P=5.30e-4), 'Fatty acid metabolism' (3.1-fold, P=7.11e-3), and 'Arginine and proline metabolism' (7.2-fold, P=5.92e-4).
“Genes with FOXA2-HNF4A co-occupied sites in liver were more frequently associated with the KEGG pathways ''PPAR signaling pathway'' (3.8-fold increase, P = 5.30 3 10 À4 ), ''Fatty acid metabolism'' (3.1fold increase, P = 7.11 3 10 À3 ), and ''Arginine and proline metabolism'' (7.2-fold increase, P = 5.92 3 10 À4 ).”
Quote in the paperSubstantial claim - Findingown data
Genes associated with bimodal loci were significantly more tissue-specific (P < 0.001) than genes associated with monomodal or low H3K4me1 loci.
“we found that genes associated with bimodal loci were significantly more tissue-specific (P < 0.001) than genes associated with monomodal or low H3K4me1 loci”
Quote in the paperSubstantial claim - Findingown data
Bimodal co-occupied FOXA2-PDX1 sites were associated with 11 of 17 genes specifically involved in islet function or development, with no such sites associated with genes involved in islet and liver development, or with genes involved in liver development or function only.
“We found bimodal co-occupied FOXA2-PDX1 sites associated with 11 of the 17 genes assessed that are specifically involved in islet function or development, with no such sites associated with genes involved in islet and liver development, or with genes involved in liver development or function only.”
Quote in the paperSubstantial claim - Findingown data
The HNF4A motif was identified in 92% of HNF4A-enriched regions.
“The derived HNF4A motif was very similar to the HNF4A TRANSFAC motif (M01031, E-value 0.0), was identified in 92% of the enriched regions, and was also centrally concentrated”
Quote in the paperSubstantial claim - Findingown data
The majority of promoter, enhancer, and distal loci had a bimodal H3K4me1 profile, with peaks on either side of the identified sites, indicating H3K4me1-marked nucleosomes flanking these sites.
“For each transcription factor, the majority of promoter, enhancer, and distal loci (Fig. 1B) had a bimodal H3K4me1 profile, with peaks of H3K4me1 enrichment on either side of the identified sites (Fig. 1C), indicating the presence of H3K4me1-marked nucleosomes flanking these sites”
Quote in the paperSubstantial claim - Findingown data
Genes with islet- or liver-specific bimodal sites had significantly (P < 0.05) higher tissue-specific expression than genes with islet- or liver-specific monomodal sites.
“As well, genes with islet-or liver-specific bimodal sites had significantly (P < 0.05) higher tissue-specific expression than genes with islet-or liver-specific monomodal sites”
Quote in the paperSubstantial claim - Findingown data
FOXA2-like motifs were identified in 72% of FOXA2-enriched regions in islets and 75% in liver.
“In islets and liver, we identified FOXA2-like motifs in 72% and 75% of the FOXA2-enriched regions, respectively.”
Quote in the paperSubstantial claim - Findingown data
The fraction of co-bound loci in a bimodal state was increased compared to loci singly bound by FOXA2 or PDX1 in islets, or FOXA2 in liver.
“The fraction of co-bound loci in a bimodal state was increased as compared to loci singly bound by FOXA2 or PDX1 in islets, or FOXA2 in liver”
Quote in the paperSubstantial claim - Findingown data
FOXA2-HNF4A co-occupied sites are enriched in genes involved in PPAR signaling and fatty acid metabolism.
“Similarly, FOXA2-HNF4A co-occupied sites are enriched in genes involved in PPAR signaling and fatty acid metabolism, both of which are important components of liver function.”
Quote in the paperNot a substantial claim - Findingown data
Genes with associated FOXA2-PDX1 or FOXA2-HNF4A co-occupied bimodal sites are highly tissue-specific.
“On the other hand, we find that genes with associated FOXA2-PDX1 or FOXA2-HNF4A co-occupied bimodal sites are highly tissue-specific.”
Quote in the paperSubstantial claim - Findingown data
A considerable fraction of PDX1 sites are in the low H3K4me1 class.
“In contrast, a considerable fraction of PDX1 sites are in the low H3K4me1 class.”
Quote in the paperSubstantial claim - Findingown data
FOXA2-PDX1 co-occupied sites are enriched for genes involved in maturity onset diabetes of the young, such as Nkx2-2, Ins1, Iapp, and Slc2a2.
“For example, FOXA2-PDX1 co-occupied sites are enriched for genes involved in maturity onset diabetes of the young, such as Nkx2-2, Ins1, Iapp, and Slc2a2.”
Quote in the paperNot a substantial claim - Findingown data
A substantial fraction of FOXA2 sites are in the low H3K4me1 class.
“Consistent with this, a substantial fraction of FOXA2 sites are in the low H3K4me1 class, while virtually no HNF4A sites are in this class.”
Quote in the paperSubstantial claim - Findingown data
10%-20% of FOXA2, PDX1, HNF4A, and STAT1 sites occur within DNA associated with H3K4me1-marked nucleosomes.
“Here, we show that 10%-20% of FOXA2, PDX1, HNF4A, and STAT1 sites occur within DNA associated with H3K4me1-marked nucleosomes.”
Quote in the paperSubstantial claim - Findingown data
Mammalian transcription factors commonly bind sites within DNA associated with H3K4me1-marked nucleosomes in vivo.
“Our data indicate that mammalian transcription factors commonly bind sites within DNA associated with H3K4me1-marked nucleosomes in vivo, and that the regulated gain and loss of such nucleosomes at transcription factor occupied loci controls their function.”
Quote in the paperSubstantial claim - Findingown data
Genes associated with bimodal sites bound by PDX1, FOXA2, or HNF4A alone are not strongly tissue-specific.
“Using our ability to discriminate functional sites, we show that genes associated with bimodal sites that are bound by PDX1, FOXA2, or HNF4A alone are not strongly tissue-specific, despite the fact that these transcription factors themselves have relatively restricted expression profiles.”
Quote in the paperSubstantial claim - Findingown data
Virtually no HNF4A sites are in the low H3K4me1 class.
“Consistent with this, a substantial fraction of FOXA2 sites are in the low H3K4me1 class, while virtually no HNF4A sites are in this class.”
Quote in the paperSubstantial claim - Interpretationown data
Bimodal loci are functionally active in regulating target gene expression.
“Together, these data argue that bimodal loci are functionally active in regulating target gene expression.”
Quote in the paperSubstantial claim - Interpretationown data
Site co-occupancy plays a significant role in conferring tissue-specific target gene expression.
“These data indicate that site co-occupancy plays a significant role in conferring tissue-specific target gene expression.”
Quote in the paperSubstantial claim - Interpretationreasoning
The ability of an occupied locus to recruit chromatin-remodeling complexes is a primary mechanism of locus control.
“These data further implicate the ability of an occupied locus to recruit chromatin-remodeling complexes as a primary mechanism of locus control.”
Quote in the paperSubstantial claim - Interpretationown data
Signaling events and developmental programs can dynamically regulate the nucleosome occupancy of transcription factor bound loci in promoters and enhancers.
“Together, these data clearly indicate that signaling events and developmental programs can dynamically regulate the nucleosome occupancy of transcription factor bound loci in promoters and enhancers.”
Quote in the paperSubstantial claim - Interpretationreasoning
Both bimodal and monomodal loci generally occur within open chromatin.
“we suggest that both bimodal and monomodal sites generally occur within open chromatin.”
Quote in the paperNot a substantial claim - Interpretationown data
Site co-occupancy increases the level of activation conferred to target genes.
“These results indicate that site co-occupancy increases the level of activation conferred to target genes.”
Quote in the paperSubstantial claim - Premisecitation
PBX1 can bind closed chromatin.
“PDX1 does, though, interact with PBX1 (Liu et al. 2001;Oliver-Krasinski et al. 2009), which can bind closed chromatin (Berkes et al. 2004), and it is possible that these sites represent pioneer activity of one of PDX1's binding partners.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Berkes et al. 2004 source
- Interpretationreasoning
FOXA2-PDX1 and FOXA2-HNF4A collaborations have a novel role in controlling these processes by directly regulating genes involved in arginine metabolism.
“Thus, our data suggest a novel role for FOXA2-PDX1 and FOXA2-HNF4A collaborations in controlling these processes by directly regulating genes involved in arginine metabolism.”
Quote in the paperSubstantial claim - Interpretationreasoning
Low H3K4me1 loci usually occur within closed chromatin.
“Given their genomic distribution and lack of associated H3K4me1, we propose that low H3K4me1 loci usually occur within closed chromatin.”
Quote in the paperSubstantial claim - Interpretationown data
Signaling and developmental-stage-specific factors can induce nucleosomes to re-form, or re-position, inactivating loci while transcription factor occupancy is maintained.
“Likewise, we find that signaling and developmental-stage-specific factors can induce nucleosomes to re-form, or re-position, inactivating loci while transcription factor occupancy is maintained.”
Quote in the paperSubstantial claim - Interpretationown data
The regulated gain and loss of H3K4me1-marked nucleosomes at transcription factor occupied loci controls their function.
“Our data indicate that mammalian transcription factors commonly bind sites within DNA associated with H3K4me1-marked nucleosomes in vivo, and that the regulated gain and loss of such nucleosomes at transcription factor occupied loci controls their function.”
Quote in the paperSubstantial claim - Interpretationcitation
Pioneer activity may be required for a transcription factor to associate with sites within regions of the genome devoid of active histone marks.
“Thus, although our data suggest that the ability of mammalian transcription factors to interact with nucleosome-associated DNA is widespread, the ability to do so may rely on the presence of H3K4me1 or other ''active'' histone marks, and pioneer activity may be required for a transcription factor to associate with sites within regions of the genome devoid of such marks (Sekiya and Zaret 2007).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sekiya and Zaret 2007 source
- Interpretationreasoning
The ability of transcription factors to interact with nucleosome-associated DNA may rely on the presence of H3K4me1 or other active histone marks.
“Thus, although our data suggest that the ability of mammalian transcription factors to interact with nucleosome-associated DNA is widespread, the ability to do so may rely on the presence of H3K4me1 or other ''active'' histone marks, and pioneer activity may be required for a transcription factor to associate with sites within regions of the genome devoid of such marks (Sekiya and Zaret 2007).”
Quote in the paperSubstantial claim - Interpretationown data
The ability of mammalian transcription factors to interact with nucleosome-associated DNA is widespread.
“Thus, although our data suggest that the ability of mammalian transcription factors to interact with nucleosome-associated DNA is widespread, the ability to do so may rely on the presence of H3K4me1 or other ''active'' histone marks, and pioneer activity may be required for a transcription factor to associate with sites within regions of the genome devoid of such marks (Sekiya and Zaret 2007).”
Quote in the paperSubstantial claim - Interpretationown data
By considering both the H3K4me1-marked nucleosome occupancy and H3K4me1 levels of transcription factor occupied loci, one can discriminate loci that are functionally active from those poised to become active, and from those that reflect pioneer-like activity.
“Extending this, we demonstrate that by considering both the H3K4me1-marked nucleosome occupancy and H3K4me1 levels of transcription factor occupied loci, we can discriminate loci that are functionally active from those poised to become active, and from those that reflect pioneer-like activity.”
Quote in the paperSubstantial claim - Interpretationown data
Transcription factors with diverse expression profiles can function cooperatively at cis-regulatory loci to drive highly tissue-specific target gene expression.
“These data globally demonstrate how transcription factors that have diverse expression profiles can function cooperatively at cis-regulatory loci to drive highly tissue-specific target gene expression.”
Quote in the paperSubstantial claim
- May combine two claims. 36
- Classified as probably not a substantial claim. 10
- The quote only partly states this claim. 1
May combine two claims.
InterpretationcitationTissue-specific gene expression can be dictated by tissue-specific transcription factor binding and by the tissue-specific recruitment of nucleosome-remodeling complexes to transcription factor occupied loci.
“These data, taken together with our expression analyses, indicate that tissue-specific gene expression can be dictated by tissue-specific transcription factor binding and by the tissue-specific recruitment of nucleosome-remodeling complexes (e.g., SWI/SNF) (Hogan et al. 2006;Schwabish and Struhl 2007) to transcription factor occupied loci.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Hogan et al. 2006 source
The Discussion (‘Nucleosome Occupancy: Cause or Effect?’; page unavailable) describes stepwise recruitment of Swi5, SWI/SNF, SAGA, and SBF at the yeast HO promoter. It does not establish tissue-specific recruitment or tissue-specific gene expression, and it says the proposed SWI/SNF-mediated nucleosome depletion may facilitate SBF binding rather than follow it. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Schwabish and Struhl 2007 source
The paper’s Results and Discussion (page not provided) show that Swi/Snf is recruited to the SUC2 promoter during activation and is necessary for activator-mediated histone eviction there. This supports the proposed role of a remodeling complex at an activated locus, but the paper does not examine tissue-specific transcription-factor binding or tissue-specific recruitment and gene expression. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataLow H3K4me1 loci are typically functionally inactive and not co-occupied.
“In support of this, our data show that these loci are typically functionally inactive and not co-occupied, in agreement with previous studies (Lupien et al. 2008;Eeckhoute et al. 2009).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Lupien et al. 2008 source
- cites Eeckhoute et al. 2009 source
The Results section (“Levels of FAIRE enrichment correlate with the transcriptional regulatory activity at FOXA1-bound enhancers”; page unavailable) reports that low-FAIRE FOXA1 sites are less likely to be functional and less often recruit ESR1. But the paper compares H3K4me2, not H3K4me1, and does not establish the claim for low-H3K4me1 loci generally. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataFOXA2 binding sites: 1770 were common to both tissues, 5419 were unique to islets, and 8931 were unique to liver.
“First, we identified 1770 FOXA2 sites common to both tissues, 5419 sites unique to islets, and 8931 unique to liver”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGenes with sites co-occupied by FOXA2 and PDX1 had a median tag count about 1.43 higher in islets than genes with a FOXA2 or PDX1 singly bound site (P < 0.01); genes with FOXA2-HNF4A co-occupied sites had a median tag count about 1.73 higher in liver than genes with singly bound loci (P < 0.001).
“In fact, genes with sites co-occupied by FOXA2 and PDX1 had a median tag count ;1.43 higher in islets than genes with a FOXA2 or PDX1 singly bound site (P < 0.01), while genes with associated sites co-occupied by FOXA2 and HNF4A sites had a median tag count ;1.73 higher in liver than genes associated with singly bound loci (P < 0.001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBimodal and monomodal loci frequently occurred proximal to transcription start sites, while low H3K4me1 loci showed no obvious enrichment at proximal locations.
“Loci with a bimodal or monomodal profile frequently occurred proximal to TSSs, while low H3K4me1 loci showed no obvious enrichment at proximal locations”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBimodal sites were significantly (P < 0.001) more enriched than monomodal sites, and monomodal sites were significantly (P < 0.01) more enriched than low H3K4me1 sites.
“Bimodal sites were significantly (P < 0.001) more enriched than monomodal sites, and monomodal sites were significantly (P < 0.01) more enriched than low H3K4me1 sites”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRT-qPCR showed that 33 of 41 (80%, P < 0.05) genes with an associated bimodal FOXA2 peak in islets treated with Foxa2 siRNA had altered expression, while none of the genes without an associated peak were altered.
“The expression levels of 33 (80%, P < 0.05) of the target genes were altered by the suppression of Foxa2, with nearly equal numbers showing increased versus decreased expression, while none of the genes without an associated peak (Neg1-3) were altered.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBimodal co-occupied FOXA2-HNF4A sites were associated with one of the 17 genes specifically involved in islet function or development, five of eight sites associated with genes involved in islet and liver development, and three of five genes involved in only liver development or function.
“In contrast, bimodal co-occupied FOXA2-HNF4A sites were associated with one of the 17 genes specifically involved in islet function or development, five of eight sites associated with genes involved in islet and liver development, and three of five genes involved in only liver development or function”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor FOXA2 in both islets and liver, and for PDX1, more than 10% of loci were associated with a low, nonsignificant level of H3K4me1, whereas only 1% of HNF4A sites were in this category.
“For FOXA2, in both islets and liver, and for PDX1, >10% of loci were associated with a low, nonsignificant level of H3K4me1, whereas only 1% of HNF4A sites were in this category.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPDX1-like motifs were identified in 45% of PDX1-enriched regions, PDX1:PBX1 heterodimer-like motifs in 42%, and PDX1 and/or PDX1:PBX1-like motifs in 62%.
“We identified a PDX1-like motif in 45% of enriched regions that was similar to the TRANSFAC PDX1 motif (M00463; E-value 9.6 3 10 À7 ) and was moderately centrally concentrated.”
- Also stated in: § Genome-wide identification of FOXA2-, PDX1-, and HNF4A-occupied loci in adult islets and liver · plain
“we also identified a PDX1:PBX1 heterodimer-like motif in 42% the PDX1-enriched regions (Supplemental Fig. S7), which was also moderately centrally concentrated.”
- Also stated in: § Genome-wide identification of FOXA2-, PDX1-, and HNF4A-occupied loci in adult islets and liver · plain
“PDX1 and/or PDX1:PBX1-like motifs were found in 62% of the PDX1-enriched sites.”
Quote in the paperSubstantial claim- Also stated in: § Genome-wide identification of FOXA2-, PDX1-, and HNF4A-occupied loci in adult islets and liver · plain
May combine two claims.
Findingown dataThe second most common H3K4me1 profile was monomodal, with a peak of H3K4me1 enrichment co-occurring at the transcription factor binding sites, suggesting a central H3K4me1-marked nucleosome or nucleosomes.
“The second most common H3K4me1 profile had a monomodal shape, with a peak of H3K4me1 enrichment co-occurring at the identified transcription factor binding sites, suggesting the presence of a central H3K4me1-marked nucleosome, or nucleosomes, at the transcription factor binding site.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNucleosome mapping at representative enhancer loci indicates flanking nucleosomes at bimodal sites and central nucleosomes at monomodal sites, confirming that H3K4me1 bimodal and monomodal profiles are largely due to nucleosome distribution differences.
“These data indicate the presence of flanking nucleosomes at bimodal sites and of central nucleosomes at monomodal sites, confirming that the H3K4me1 bimodal and monomodal profiles are largely a result of nucleosome distribution differences.”
Quote in the paperSubstantial claim- Rests on an assumption: Nucleosome distributions at the representative enhancer loci mapped are representative of all bimodal and monomodal loci.
May combine two claims.
Findingown dataIn islets, 1914 loci were co-bound by FOXA2 and PDX1; in liver, 3236 loci were co-bound by FOXA2 and HNF4A.
“we identified 1914 loci in islets that were co-bound by both FOXA2 and PDX1, and 3236 loci in liver that were co-bound by FOXA2 and HNF4A”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe number of occupied loci identified was 7189 FOXA2 and 13,448 PDX1 in islets, and 12,494 HNF4A in liver.
“identifying 7189 FOXA2-and 13,448 PDX1occupied loci in islets, as well as 12,494 HNF4A-occupied loci in liver”
- Also stated in: § Discussion · hedged
“We identified between 7189 and 13,448 DNA-binding sites for FOXA2, PDX1, and HNF4A in islets and/or liver in the adult mouse.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · hedged
May combine two claims.
Findingown dataGenes with islet-specific bimodal sites had substantially higher expression in islets (P < 0.001) than genes with liver-specific bimodal sites, and vice versa.
“We found that genes with islet-specific bimodal sites had substantially higher expression in islets (P < 0.001) than genes with liver-specific bimodal sites, and vice versa”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGenes with FOXA2-PDX1 co-occupied sites had a median specificity to islets about 2.43 higher than genes with a FOXA2 or PDX1 singly bound site (P < 0.001); genes with a FOXA2-HNF4A co-occupied site in liver had a median specificity about 5.23 higher than genes with a FOXA2 or HNF4A site alone (P < 0.001).
“Genes with FOXA2-PDX1 co-occupied sites had a median specificity to islets ;2.43 higher than genes with a FOXA2 or PDX1 singly bound site (P < 0.001) (Fig. 8B), and genes with a FOXA2-HNF4A co-occupied site in liver had a median specificity ;5.23 higher than genes with a FOXA2 or HNF4A site alone (P < 0.001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLow H3K4me1 loci were significantly more frequently (P < 0.01) associated with silenced genes than bimodal or monomodal loci, which were equally associated with expressed, non-expressed, and silenced genes.
“Low H3K4me1 loci were significantly more frequently (P < 0.01) associated with silenced genes (Fig. 2C) than either bimodal or monomodal loci, which were equally associated with expressed, non-expressed, and silenced genes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataChIP-seq identified genome-wide binding sites for FOXA2 in adult mouse islets and liver, PDX1 in islets, and HNF4A in liver.
“We used ChIP-seq to globally identify loci occupied by FOXA2 in adult mouse islets and liver, PDX1 in islets, and HNF4A in liver.”
- Also stated in: § Locus co-occupancy, nucleosome positioning, and H3K4me1 regulate the functionality of FOXA2-, HNF4A-, and PDX1-bound loci in islets and liver · plain
“we globally identify binding sites for FOXA2 in adult mouse islets and liver, PDX1 in islets, and HNF4A in liver.”
Quote in the paperSubstantial claim- Also stated in: § Locus co-occupancy, nucleosome positioning, and H3K4me1 regulate the functionality of FOXA2-, HNF4A-, and PDX1-bound loci in islets and liver · plain
May combine two claims.
Findingown dataA reduced fraction of monomodal loci with an appropriate motif for a putative co-binding transcription factor were actively bound by that factor compared to bimodal loci, and the fraction of actively bound, motif-containing, low H3K4me1 loci was reduced even further.
“We found that a reduced fraction of monomodal loci with a appropriate motif for a putative co-binding transcription factor were actively bound by that factor as compared to bimodal loci, and the fraction of actively bound, motif-containing, low H3K4me1 loci was reduced even further”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth FOXA2-PDX1 co-occupied sites in islets and FOXA2-HNF4A co-occupied sites in liver are enriched for genes involved in arginine and proline metabolism.
“It is interesting that both FOXA2-PDX1 co-occupied sites in islets and FOXA2-HNF4A co-occupied sites in liver are enriched for genes involved in arginine and proline metabolism.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFOXA2-PDX1 and FOXA2-HNF4A co-occupied sites are enriched for genes involved in islet- and liver-specific functions, respectively.
“Consistent with this, we find that FOXA2-PDX1 and FOXA2-HNF4A co-occupied sites are enriched for genes involved in islet-and liver-specific functions, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong the transcription factors assessed, similar fractions were bound at monomodal loci, but they differed significantly in their ability to bind loci with low H3K4me1 levels.
“Although similar fractions of the transcription factors assessed were bound at monomodal loci, they showed significantly different abilities to bind loci with low H3K4me1 levels.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBimodal loci are more highly occupied than monomodal loci, which are more occupied than loci with low H3K4me1.
“this suggests that bimodal loci are more highly occupied than monomodal loci, which, in turn, are more occupied than loci with low H3K4me1.”
Quote in the paperSubstantial claim- Rests on an assumption: Peak height (enrichment level) is proportional to the fraction of cells containing a bound locus.
May combine two claims.
InterpretationreasoningBimodal loci can modulate gene expression levels and H3K4me1 profiles provide an effective method to discriminate such loci.
“Together, these results indicate that bimodal loci can modulate gene expression levels and that H3K4me1 profiles provide an effective method to discriminate such loci.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataNeither bimodal nor monomodal locus types appears able to induce genes to be expressed, but several lines of evidence indicate that bimodal loci can regulate associated expressed genes.
“While neither of these locus types appears able to induce genes to be expressed, several lines of evidence indicate that bimodal loci can regulate associated expressed genes.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataBimodal sites are functionally active and both tissue-specific transcription factor binding and nucleosome displacement are significant in determining tissue-specific target gene expression.
“Regardless, our data confirm that bimodal sites are functionally active and indicate the significance of both tissue-specific transcription factor binding and nucleosome displacement in determining tissue-specific target gene expression.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe lower enrichment of monomodal sites over bimodal sites cannot be explained by underlying differences in motif presence or strength, suggesting further histone modifications and/or nucleosome displacement are necessary for full binding.
“These data indicate that the lower enrichment of monomodal sites over bimodal sites cannot be explained by underlying differences in motif presence or strength and suggest that further histone modifications and/or nucleosome displacement are necessary for full binding.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataFOXA2 and PDX1 collaborations initiate and regulate the expression of genes involved in beta-cell function, and FOXA2 and HNF4A collaborations maintain the expression in adult liver of genes that were initially coexpressed in the developing pancreas and liver.
“Together these data implicate FOXA2 and PDX1 collaborations in initiating and regulating the expression of genes involved in beta-cell function, and FOXA2 and HNF4A collaborations in maintaining the expression in the adult liver of genes that were initially coexpressed in the developing pancreas and liver.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataBimodal and monomodal loci more commonly occur in regions expected to be involved in active gene regulation than low H3K4me1 loci, but none of these locus types is sufficient to activate gene expression.
“In sum, these results indicate that bimodal and monomodal loci more commonly occur in regions of the genome that would be expected to be involved in active gene regulation, than loci with a low H3K4me1, but that none of these locus types is sufficient to activate gene expression.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationDNA from triplicate pooled ChIP experiments was purified and sequenced.
“DNA from triplicate pooled ChIP experiments was purified by 8% PAGE to obtain 100-300-bp fragments and sequenced on an Illumina 1G sequencer as previously reported (Robertson et al. 2007).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Robertson et al. 2007 source
Classified as probably not a substantial claim.
Study design and conductown dataBimodal and monomodal sites were discriminated based on whether the H3K4me1 profiles formed a stereotypical peak-trough-peak shape.
“Subsequently, bimodal and monomodal sites were discriminated based on whether the H3K4me1 profiles formed a stereotypical peak-trough-peak shape or not (Supplemental Fig. S9B).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAfter confirmation of Pdx1 knockdown, material from three separate experiments was pooled and used for Tag-seq-lite library construction.
“After confirmation of Pdx1 knockdown, the material collected from three separate experiments was pooled and used for Tag-seq-lite library construction as described above.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataEnriched regions were associated with genes by identifying the closest annotated RefSeq gene within 50 kb; using an alternative site-gene association distance gave similar results.
“Enriched regions were associated with genes by identifying the closest annotated RefSeq gene within 50 kb.Enriched regions >50 kb from any annotated RefSeq gene were not associated with any gene, using alternative site-gene association distance gave similar results (Supplemental Fig. S16).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenRegions that overlapped sites identified using an islet or liver input control sample were removed.
“Regions that overlapped sites identified using an islet or liver input control sample, as appropriate, were removed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationMotif discovery analyses were performed using an extended version of the GADEM package with a PWM as the starting point for each run.
“Motif discovery analyses were performed using an extended version of the GADEM package (Li 2009) in which a PWM was used as the starting point for each run.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Li 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataNeither transcription factor binding nor the presence of H3K4me1 is sufficient to recruit nucleosome-remodeling complexes to the monomodal loci identified here.
“Our data, though, suggest that neither transcription factor binding nor the presence of H3K4me1 is sufficient to recruit such complexes to the monomodal loci identified here.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenRefSeq genes were considered significantly altered if their counts were significantly different (P < 0.001, Audic-Claverie statistics) in the siPdx1 library compared to the siPpib library and if the change was >1.5-fold.
“RefSeq genes were considered significantly altered if their counts were significantly different (P < 0.001, based on Audic-Claverie statistics) in the siPdx1 library as compared to the siPpib library and if the change was >1.5-fold.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenChIP-seq enriched regions were thresholded using a false discovery rate of 0.01 and refined by trimming at 20% of their maximal height to remove low-height flanks and separate composite regions.
“Enriched regions were thresholded using a false discovery rate of 0.01, and refined further by trimming at 20% of their maximal height, in order to remove low height flanks, and separate composite regions.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataSites with low H3K4me1 levels were discriminated using a cumulative distribution plot of total H3K4me1 sequence reads in each 62-kb window.
“Sites with low H3K4me1 levels were first discriminated using a cumulative distribution plot of the total number of H3K4me1 sequence reads in each 62-kb window (Supplemental Fig. S9A).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataFOXA2-PDX1 and FOXA2-HNF4A co-occupancy at bimodal sites drives islet- and liver-specific gene expression, respectively.
“By using this approach to discriminate active binding sites, we show that FOXA2-PDX1 and FOXA2-HNF4A co-occupancy at bimodal sites drives islet-and liver-specific gene expression, respectively.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims. The quote only partly states this claim.
Study design and conductnone givenMNase-qPCR was used to map nucleosomes; Ct values from mononucleosomal DNA were normalized against genomic DNA and compared to a reference primer pair.
“Ct values obtained from the mononucleosomal DNA were normalized against values obtained using genomic DNA and compared to a reference primer pair that was selected for each locus.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataMonomodal loci are functionally inactive but are often converted to an active nucleosome-flanked state by lineage, signaling, or developmental-stage-specific factors, regardless of promoter or enhancer, and likely represent loci poised for activity.
“Although we find that such loci are functionally inactive, they are often converted to an active nucleosome-flanked state by lineage, signaling, or developmental-stage-specific factors, regardless of whether they are in a promoter or enhancer, and likely represent loci that are poised for activity.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Nucleosome distributions at the representative enhancer loci mapped are representative of all bimodal and monomodal loci.
“we mapped nucleosome positions at representative enhancer loci (Figs.1D and 4H below).”
The paper relies on this without support.
Peak height (enrichment level) is proportional to the fraction of cells containing a bound locus.
“As higher enrichment levels imply that a larger fraction of cells in the ChIP experiments contained a bound locus”
The paper relies on this without support.
HNF4A and PDX1 are not pioneer factors.
“FOXA2 is a wellestablished pioneer factor (Sekiya et al. 2009), while HNF4A and PDX1 are not.”
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?
Regions bound by multiple TFs are more likely to function as tissue-specific enhancers.
“Since regions bound by multiple TFs are more likely to function as tissue-specific enhancers (Hoffman et al., 2010)”
From Hippo Signaling Influences HNF4A and FOXA2 Enhancer Switching during Hepatocyte Differentiation (2014) · cites this paper as Hoffman et al., 2010
The ‘Cooperative binding at bimodal sites drives tissue-specific gene expression’ section reports that genes associated with sites co-occupied by two transcription factors were more tissue-specific than genes associated with singly bound sites. The finding concerns FOXA2–PDX1 sites in islets and FOXA2–HNF4A sites in liver, and measures target-gene expression; it does not establish that multiply bound regions generally are more likely to function as tissue-specific enhancers. (LLM, conf=0.84)
Experimental — accuracy not yet measuredUpon hepatocyte differentiation, HNF4A and FOXA2 binding is lost at many Afp-associated regulatory regions.
“we confirmed that HNF4A and FOXA2 binding was lost at many of the Afp-associated regulatory regions upon hepatocyte differentiation.”
From Hippo Signaling Influences HNF4A and FOXA2 Enhancer Switching during Hepatocyte Differentiation (2014) · cites this paper as Hoffman et al., 2010
In “Tissue-specific FOXA2 binding and nucleosome displacement determine target gene expression” (page unavailable), the paper reports a developmental change in the H3K4me1 profile of one Afp-upstream locus and loss of Afp expression in adult liver. Figure 5H describes that locus as bound by FOXA2 and HNF4A in adult liver. The paper does not establish that binding by either factor was lost at many Afp-associated regulatory regions during differentiation. (LLM, conf=0.82)
Experimental — accuracy not yet measuredHigher levels and a bimodal distribution pattern of H3K4me1 correlate with enhancer function.
“Previous studies suggested that higher levels and a bimodal distribution pattern of monomethylated histone 3 lysine 4 (H3K4me1) correlate with enhancer function (Hoffman et al., 2010; Rada-Iglesias et al., 2011).”
From Hippo Signaling Influences HNF4A and FOXA2 Enhancer Switching during Hepatocyte Differentiation (2014) · cites this paper as Hoffman et al., 2010
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BackgroundDynamic regulation of Pdx1 enhancers by Foxa1 and Foxa2 is essential for pancreas development.Preprint
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“chromatin (Berkes et al. 2004), and it is possible that these sites Hoffman et al.”
BackgroundNext-generation tag sequencing for cancer gene expression profilingPreprint
Morrissy, A. S., Morin, R. D., Delaney, A. D., Zeng, T., McDonald, H., Jones, S. J. M., Zhao, Y., Hirst, M., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.094482.109 · Cited by 309 · cited 6× · see citing works
“Generation and analysis of Tag-seq and SAGE libraries Total RNA was isolated from hand-picked islets and liver using TRIzol, and RNA quality was assessed using a Bioanalyser (Agilent).”
MethodInfluentialSelf-citationBinding of disparate transcriptional activators to nucleosomal DNA is inherently cooperative
Adams, C. C., & Workman, J. L. (1995) · Molecular and Cellular Biology · doi:10.1128/mcb.15.3.1405 · Cited by 307 · cited 2× · see citing works
“It is known that some yeast transcription factors can interact with nucleosomal DNA in vitro and at promoters in vivo (Adams and Workman 1995; Albert et al. 2007; Koerber et al. 2009), possibly due to binding at DNA sequences found within nucleosome exit or entry points, or at sequences exposed due…”
BackgroundResultGenetic programming of liver and pancreas progenitors: lessons for stem-cell differentiation
Zaret, K. S. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2318 · Cited by 285 · cited 1× · see citing works
“Zaret KS. 2008.”
Role of nitric oxide in obesity-induced beta cell disease.
Shimabukuro, M., Ohneda, M., Lee, Y., & Unger, R. H. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119534 · Cited by 282 · cited 2× · see citing works
“Arginine is a precursor of nitric oxide (NO), which plays critical roles in controlling insulin secretion from beta-cells, beta-cell apoptosis, and islet inflammation, as well as in controlling liver regeneration, inflammation, and blood flow (Schmidt et al. 1992; Shimabukuro et al. 1997; Wu and Morris 1998; Adeghate…”
BackgroundBattle, M. A., Konopka, G., Parviz, F., Gaggl, A. L., Yang, C., Sladek, F. M., & Duncan, S. A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600246103 · Cited by 246 · see citing works
Sekiya, T., Muthurajan, U. M., Luger, K., Tulin, A. V., & Zaret, K. S. (2009) · Genes & Development · doi:10.1101/gad.1775509 · Cited by 221 · cited 4× · see citing works
“FOXA2 is a wellestablished pioneer factor (Sekiya et al. 2009), while HNF4A and PDX1 are not.”
BackgroundInfluentialRobertson, A. G., Bilenky, M., Tam, A., Zhao, Y., Zeng, T., Thiessen, N., Cezard, T., Fejes, A. P., Wederell, E. D., Cullum, R., et al. (2008) · Genome Research · doi:10.1101/gr.078519.108 · Cited by 182 · cited 12× · see citing works
“1C), indicating the presence of H3K4me1-marked nucleosomes flanking these sites (Heintzman et al. 2007; Robertson et al. 2008).”
BackgroundMethodInfluentialSelf-citationOliver-Krasinski, J. M., Kasner, M. T., Yang, J., Crutchlow, M. F., Rustgi, A. K., Kaestner, K. H., & Stoffers, D. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci37028 · Cited by 177 · cited 6× · see citing works
“PDX1 and/or PDX1:PBX1-like motifs were found in 62% of the PDX1-enriched sites.”
BackgroundInfluentialSwift, G. H., Liu, Y. M., Rose, S. D., Bischof, L. J., Steelman, S., Buchberg, A. M., Wright, C. V. E., & MacDonald, R. J. (1998) · Molecular and Cellular Biology · doi:10.1128/mcb.18.9.5109 · Cited by 175 · cited 5× · see citing works
“PDX1 and/or PDX1:PBX1-like motifs were found in 62% of the PDX1-enriched sites.”
BackgroundInfluentialSekiya, T., & Zaret, K. S. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.10.002 · Cited by 173 · see citing works
Schwabish, M. A., & Struhl, K. (2007) · Molecular and Cellular Biology · doi:10.1128/mcb.00717-07 · Cited by 158 · cited 4× · see citing works
“Activation domains drive nucleosome eviction by SWI/SNF. EMBO J 26: 730– 740.”
BackgroundInfluentialWederell, E. D., Bilenky, M., Cullum, R., Thiessen, N., Dagpinar, M., Delaney, A., Varhol, R., Zhao, Y., Zeng, T., Bernier, B., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn382 · Cited by 150 · cited 8× · see citing works
“We scanned the reported PWMs in TF-enriched regions with a custom Java algorithm, largely as described in Wederell et al. (2008).”
BackgroundMethodInfluentialSelf-citationInteraction of Transcriptional Regulators with Specific Nucleosomes across the Saccharomyces Genome
Koerber, R. T., Rhee, H. S., Jiang, C., & Pugh, B. F. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.09.011 · Cited by 123 · cited 2× · see citing works
“…vivo (Adams and Workman 1995; Albert et al. 2007; Koerber et al. 2009), possibly due to binding at DNA sequences found within nucleosome exit or entry points, or at sequences exposed due to rotational phasing on the nucleosome surface (Albert et al. 2007; Jiang and Pugh 2009; Koerber et al. 2009).”
BackgroundThe Role of Hepatic Nuclear Factor 1α and PDX-1 in Transcriptional Regulation of the pdx-1 Gene
Gerrish, K., Cissell, M. A., & Stein, R. W. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m109244200 · Cited by 116 · cited 1× · see citing works
“PDX1 is essential for pancreas development (Jonsson et al. 1994) and is required for the expression of insulin and several other genes critical to pancreas development and function (Ohlsson et al. 1993; Ahlgren et al. 1998; Gerrish et al. 2001; Svensson et al. 2007).”
BackgroundSiddiqui, A. S., Khattra, J., Delaney, A. D., Zhao, Y., Astell, C., Asano, J., Babakaiff, R., Barber, S., Beland, J., Bohacec, S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509455102 · Cited by 116 · cited 3× · see citing works
“All SAGE libraries were generated as part of the Mouse Atlas of Gene Expression project (Siddiqui et al. 2005; Hoffman et al. 2008).”
MethodInfluentialSelf-citationCell Cycle–Specified Fluctuation of Nucleosome Occupancy at Gene Promoters
Hogan, G. J., Lee, C.-K., & Lieb, J. D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020158 · Cited by 109 · cited 5× · see citing works
“…analyses, indicate that tissue-specific gene expression can be dictated by tissue-specific transcription factor binding and by the tissue-specific recruitment of nucleosome-remodeling complexes (e.g., SWI/SNF) (Hogan et al. 2006; Schwabish and Struhl 2007) to transcription factor occupied loci.”
BackgroundInfluentialHolloway, M. G., Miles, G. D., Dombkowski, A. A., & Waxman, D. J. (2008) · Molecular Endocrinology · doi:10.1210/me.2007-0564 · Cited by 108 · see citing works
Cell-type selective chromatin remodeling defines the active subset of FOXA1-bound enhancers
Eeckhoute, J., Lupien, M., Meyer, C. A., Verzi, M. P., Shivdasani, R. A., Liu, X. S., & Brown, M. (2009) · Genome Research · doi:10.1101/gr.084582.108 · Cited by 106 · cited 2× · see citing works
“Secondary co-occupying transcription factors ensure nucleosome displacement Previously, it was shown that differential recruitment of ESR1 and AR in breast and prostate cancer cell lines, respectively, correlates with the accessibility and functionality of FOXA1 sites (Eeckhoute et al. 2009).”
BackgroundResultActivation domains drive nucleosome eviction by SWI/SNF
Gutiérrez, J. L., Chandy, M., Carrozza, M. J., & Workman, J. L. (2007) · The EMBO Journal · doi:10.1038/sj.emboj.7601524 · Cited by 102 · cited 1× · see citing works
“Transcription factor binding (Gutierrez et al. 2007) and the presence of appropriate histone modifications (Hogan et al. 2006; Jiang and Pugh 2009) have been implicated as mechanisms for targeting nucleosome-remodeling complexes to specific sites in the genome.”
BackgroundLi, L. (2009) · Journal of Computational Biology · doi:10.1089/cmb.2008.16tt · Cited by 97 · see citing works
Self-citationTranscription Factor FoxA (HNF3) on a Nucleosome at an Enhancer Complex in Liver Chromatin
Chaya, D., Hayamizu, T. F., Bustin, M., & Zaret, K. S. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m108214200 · Cited by 90 · cited 1× · see citing works
“FOXA1 is the only mammalian transcription factor that has previously been shown to interact directly with nucleosomal DNA in vivo (Chaya et al. 2001).”
BackgroundFoxa2 Controls Vesicle Docking and Insulin Secretion in Mature β Cells
Gao, N., White, P., Doliba, N. M., Golson, M. L., Matschinsky, F. M., & Kaestner, K. H. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.08.015 · Cited by 85 · cited 1× · see citing works
“For this we used available microarray data from adult-specific knockout mouse models of Foxa2 in islets (Gao et al. 2007), Foxa2 in liver (Bochkis et al. 2009), and Hnf4a in liver (Holloway et al. 2008).”
MethodProfiling RE1/REST-mediated histone modifications in the human genome
Zheng, D., Zhao, K., & Mehler, M. F. (2009) · Genome biology · doi:10.1186/gb-2009-10-1-r9 · Cited by 80 · cited 1× · see citing works
“Recent genome-wide analyses of transcription factor–DNA association in mammalian genomes show that most transcription factors bind thousands of sites (Robertson et al. 2007; Chen et al. 2008; Marson et al. 2008; Wederell et al. 2008; Hoffman and Jones 2009; Zheng et al. 2009).”
BackgroundLiu, Y., MacDonald, R. J., & Swift, G. H. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m100678200 · Cited by 78 · see citing works
Bailly, A. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.17.3495 · Cited by 66 · cited 5× · see citing works
“For this we used available microarray data from adult-specific knockout mouse models of Foxa2 in islets (Gao et al. 2007), Foxa2 in liver (Bochkis et al. 2009), and Hnf4a in liver (Holloway et al. 2008).”
BackgroundInfluentialNitric oxide biology and the liver: Report of an AASLD research workshop
Rockey, D. C., & Shah, V. H. (2004) · Hepatology · doi:10.1002/hep.20034 · Cited by 56 · cited 2× · see citing works
“Arginine is a precursor of nitric oxide (NO), which plays critical roles in controlling insulin secretion from beta-cells, beta-cell apoptosis, and islet inflammation, as well as in controlling liver regeneration, inflammation, and blood flow (Schmidt et al. 1992; Shimabukuro et al. 1997; Wu and Morris 1998; Adeghate…”
BackgroundHoffman, B. G., & Jones, S. J. M. (2009) · Journal of Endocrinology · doi:10.1677/joe-08-0526 · Cited by 44 · cited 1× · see citing works
“Recent genome-wide analyses of transcription factor–DNA association in mammalian genomes show that most transcription factors bind thousands of sites (Robertson et al. 2007; Chen et al. 2008; Marson et al. 2008; Wederell et al. 2008; Hoffman and Jones 2009; Zheng et al. 2009).”
BackgroundSelf-citationIdentification of transcripts with enriched expression in the developing and adult pancreas
Hoffman, B., Zavaglia, B., Witzsche, J., Algara, T. R. D., Beach, M., Hoodless, P., Jones, S. J. M., Marra, M., & Helgason, C. (2008) · Genome Biology · doi:10.1186/gb-2008-9-6-r99 · Cited by 38 · cited 2× · see citing works
“All SAGE libraries were generated as part of the Mouse Atlas of Gene Expression project (Siddiqui et al. 2005; Hoffman et al. 2008).”
MethodInfluentialSelf-citationNitric oxide and neuronal and pancreatic beta cell death
Adeghate, E., & Parvez, S. (2000) · Toxicology · doi:10.1016/s0300-483x(00)00310-3 · Cited by 37 · cited 1× · see citing works
“…roles in controlling insulin secretion from beta-cells, beta-cell apoptosis, and islet inflammation, as well as in controlling liver regeneration, inflammation, and blood flow (Schmidt et al. 1992; Shimabukuro et al. 1997; Wu and Morris 1998; Adeghate and Parvez 2000; Rockey and Shah 2004).”
BackgroundGene array identification of Ipf1/Pdx1-/- regulated genes in pancreatic progenitor cells
Svensson, P., Williams, C., Lundeberg, J., Ryden, P., Bergqvist, I., & Edlund, H. (2007) · BMC Developmental Biology · doi:10.1186/1471-213x-7-129 · Cited by 33 · cited 1× · see citing works
“PDX1 is essential for pancreas development (Jonsson et al. 1994) and is required for the expression of insulin and several other genes critical to pancreas development and function (Ohlsson et al. 1993; Ahlgren et al. 1998; Gerrish et al. 2001; Svensson et al. 2007).”
BackgroundFoxa2-dependent hepatic gene regulatory networks depend on physiological state
Bochkis, I. M., Schug, J., Rubins, N. E., Chopra, A. R., O’Malley, B. W., & Kaestner, K. H. (2009) · Physiological Genomics · doi:10.1152/physiolgenomics.90376.2008 · Cited by 28 · cited 1× · see citing works
“For this we used available microarray data from adult-specific knockout mouse models of Foxa2 in islets (Gao et al. 2007), Foxa2 in liver (Bochkis et al. 2009), and Hnf4a in liver (Holloway et al. 2008).”
MethodRamirez-Carrozzi, V. R., Braas, D., Bhatt, D. M., Cheng, C. S., Hong, C., Doty, K. R., Black, J. C., Hoffmann, A., Carey, M., & Smale, S. T. (2009) · Journal of End-to-End-testing · doi:10.1016/s9999-9994(09)20361-8
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Pioneer transcription factors: establishing competence for gene expression
Zaret, K. S., & Carroll, J. S. (2011) · Genes & Development · doi:10.1101/gad.176826.111 · Cited by 1,589 · see citing works
“While the nature of this is discussed in detail below (and see also Hoffman et al. 2010), Tuteja et al. (2008) did find that medium- and lower-affinity, liver-specific targets were highly enriched for binding of other hepatic nuclear factors, suggesting a role for cooperative binding during the…”
BackgroundThe selection and function of cell type-specific enhancers
Heinz, S., Romanoski, C. E., Benner, C., & Glass, C. K. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3949 · Cited by 1,010 · see citing works
Bonn, S., Zinzen, R. P., Girardot, C., Gustafson, E. H., Perez-Gonzalez, A., Delhomme, N., Ghavi-Helm, Y., Wilczyński, B., Riddell, A., & Furlong, E. E. M. (2012) · Nature Genetics · doi:10.1038/ng.1064 · Cited by 502 · see citing works
“Therefore, the local distribution of chromatin modifications around transcription factor binding sites rather than the simple presence or absence of these marks may better reflect enhancer activity, with a bimodal distribution being indicative of an active enhancer, whereas a single peak indicates a switch to an inact…”
BackgroundPancreatic β cell enhancers regulate rhythmic transcription of genes controlling insulin secretion
Perelis, M., Marcheva, B., Ramsey, K. M., Schipma, M. J., Hutchison, A. L., Taguchi, A., Peek, C. B., Hong, H., Huang, W., Omura, C., et al. (2015) · Science · doi:10.1126/science.aac4250 · Cited by 377 · see citing works
H3K4 tri‐methylation provides an epigenetic signature of active enhancers
Pękowska, A., Benoukraf, T., Cabeza, J. Z., Belhocine, M., Koch, F., Holota, H., Imbert, J., Andrau, J., Ferrier, P., & Spicuglia, S. (2011) · The EMBO Journal · doi:10.1038/emboj.2011.295 · Cited by 365 · see citing works
“…previously observed in distal genomic regions (Barski et al, 2007; Lupien et al, 2008; Robertson et al, 2008; Wang et al, 2008; Schmidl et al, 2009; Hoffman et al, 2010; Lin et al, 2010), this is the first time H3K4me3 enrich- ment have been directly correlated with enhancer activity in primary…”
BackgroundAnimal Transcription Networks as Highly Connected, Quantitative Continua
Biggin, M. D. (2011) · Developmental Cell · doi:10.1016/j.devcel.2011.09.008 · Cited by 308 · see citing works
“…some factors are detected bound to 10,000–60,000 euchromatic regions, including mammalian E2f1 (Bieda et al., 2006), Esrrb (Chen et al., 2008), FOXA2 (Hoffman et al., 2010), Klf4 (Chen et al., 2008), myc (Bieda et al., 2006), MyoD (Cao et al., 2010), SP1 (Cawley et al., 2004), and STAT1 (Robertson…”
BackgroundBenner, C., van der Meulen, T., Cacéres, E., Tigyi, K., Donaldson, C. J., & Huising, M. O. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-620 · Cited by 302 · see citing works
“They also were enriched for histone H3 lysine 4 (H3K4) mono-methyl and tri-methyl signatures that mark transcriptionally active loci (Figure 6C) [45].”
Nkx2-1 Represses a Latent Gastric Differentiation Program in Lung Adenocarcinoma
Snyder, E. L., Watanabe, H., Magendantz, M., Hoersch, S., Chen, T. A., Wang, D. G., Crowley, D. G., Whittaker, C. A., Meyerson, M. M., Kimura, S., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.02.018 · Cited by 255 · see citing works
“Bimodal distribution of H3K4me1 at Foxa2 binding sites has previously been correlated with tissue-specific gene activity and nucleosome displacement (Hoffman et al., 2010).”
BackgroundInfluentialA Role for H3K4 Monomethylation in Gene Repression and Partitioning of Chromatin Readers
Cheng, J., Blum, R., Bowman, C., Hu, D., Shilatifard, A., Shen, S., & Dynlacht, B. D. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.02.032 · Cited by 236 · see citing works
“At enhancers, bimodal H3K4me1 peaks correlate with the binding of pioneering factors, including Pax7 and Foxa2 (Hoffman et al., 2010; Budry et al., 2012).”
Epigenetic switch involved in activation of pioneer factor FOXA1-dependent enhancersPreprint
Sérandour, A. A., Avner, S., Percevault, F., Demay, F., Bizot, M., Lucchetti-Miganeh, C., Barloy-Hubler, F., Brown, M. A., Lupien, M., Métivier, R., et al. (2011) · Genome Research · doi:10.1101/gr.111534.110 · Cited by 228 · see citing works
“These combinedmotifs bear the cell-type-specific functions of enhancers and often allow for recruitment of TFs that respond to external stimuli such as nuclear receptors (Lupien et al. 2008; Heinz et al. 2010; Hoffman et al. 2010; Lefterova et al. 2010).”
BackgroundAvrahami, D., Li, C., Zhang, J., Schug, J., Avrahami, R., Rao, S., Stadler, M. B., Burger, L., Schübeler, D., Glaser, B., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.07.025 · Cited by 207 · see citing works
“We integrated all these analyses with binding site maps of key transcription factors (TFs) essential for b cell identity and function (NeuroD1, Pdx1, and Foxa2) (Hoffman et al., 2010; Khoo et al., 2012; Tennant et al., 2013).”
InfluentialPBX1 Genomic Pioneer Function Drives ERα Signaling Underlying Progression in Breast Cancer
Magnani, L., Ballantyne, E. B., Zhang, X., & Lupien, M. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002368 · Cited by 193 · see citing works
“were suggestive of the pioneering role of PBX1 [36,70].”
BackgroundGenome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize
Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C. T., Gent, J. I., Wesselink, J., Springer, N. M., Hoefsloot, H. C. J., Turck, F., et al. (2017) · Genome biology · doi:10.1186/s13059-017-1273-4 · Cited by 179 · see citing works
The Polycomb-Dependent Epigenome Controls β Cell Dysfunction, Dedifferentiation, and Diabetes
Lu, T. T.-H., Heyne, S., Dror, E., Casas, E., Leonhardt, L., Boenke, T., Yang, C.-H., Sagar, Arrigoni, L., Dalgaard, K., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.04.013 · Cited by 151 · see citing works
Self-citationPioneer factors: directing transcriptional regulators within the chromatin environment
Magnani, L., Eeckhoute, J., & Lupien, M. (2011) · Trends in Genetics · doi:10.1016/j.tig.2011.07.002 · Cited by 161 · see citing works
Plant Enhancers: A Call for Discovery
Weber, B., Zicola, J., Oka, R., & Stam, M. E. (2016) · Trends in Plant Science · doi:10.1016/j.tplants.2016.07.013 · Cited by 140 · see citing works
Sugathan, A., & Waxman, D. J. (2013) · Molecular and Cellular Biology · doi:10.1128/mcb.00280-13 · Cited by 135 · see citing works
“Other liver-expressed TFs, including HNF4A and HNF6, are also important for hepatic sex differences, as indicated by knockout studies and reporter gene analyses and by the enrichment of their motifs at GH-dependent regulatory sites (35–39).”
BackgroundInfluentialWalesky, C. M., Edwards, G., Borude, P. C., Gunewardena, S., O’Neil, M. F., Yoo, B., & Apte, U. M. (2013) · Hepatology · doi:10.1002/hep.26251 · Cited by 130 · see citing works
“We analyzed publicly available ChIP-Seq data (SRA008281) from Hoffman et al.22 to obtain an unbiased whole genome mapping of Hnf4a binding sites in mouse.”
H3K4me1 Distribution Predicts Transcription State and Poising at Promoters
Bae, S., & Lesch, B. J. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.00289 · Cited by 120 · see citing works
“Another study of mouse liver and pancreas likewise found that H3K4me1 signal flanks active promoters, although the relationship to H3K4me3 was not examined (Hoffman et al., 2010).”
BackgroundChromatin signatures of active enhancers
Spicuglia, S., & Vanhille, L. (2012) · Nucleus · doi:10.4161/nucl.19232 · Cited by 116 · see citing works
Genetic and Epigenetic Determinants of Neurogenesis and Myogenesis
Fong, A. P., Yao, Z., Zhong, J. W., Cao, Y., Ruzzo, W. L., Gentleman, R. C., & Tapscott, S. J. (2012) · Developmental Cell · doi:10.1016/j.devcel.2012.01.015 · Cited by 119 · see citing works
“In addition, bindingofNEUROD2atboth of these sets of sites induces a bimodal histone distribution that has been suggested to indicate a functional binding site (Hoffman et al., 2010) (Figure 3E).”
BackgroundInfluentialKurtz, C., Peck, B. C. E., Fannin, E. E., Beysen, C., Miao, J., Landstreet, S. R., Ding, S., Turaga, V., Lund, P., Turner, S., et al. (2014) · Diabetes · doi:10.2337/db13-1015 · Cited by 127 · see citing works
“Notably, we did not observe this enrichment among Foxa2 target genes in the mouse pancreatic islet, in which the Foxa2 regulatory network is rewired relative to the liver (30) (Fig.”
BackgroundMethodInfluentialHippo Signaling Influences HNF4A and FOXA2 Enhancer Switching during Hepatocyte Differentiation
Alder, O., Cullum, R., Lee, S., Kan, A. C., Wei, W., Yi, Y., Garside, V. C., Bilenky, M., Griffith, M., Morrissy, A. S., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.08.046 · Cited by 113 · see citing works
“The following NCBI data sets were used in this study: SRA008281, GSM751034, and GSM751035 (Hoffman et al., 2010; Tennant et al., 2013).”
BackgroundMethodInfluentialSelf-citationFang, B., Mané‐Padrós, D., Bolotin, E., Jiang, T., & Sladek, F. M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks190 · Cited by 109 · see citing works
“First, we compared HNF4a ChIP’ed from mouse liver (48) and RXRa ChIP’ed from mouse 3T3-L1 (pre-adipocyte) cells (49).”
BackgroundFrietze, S. E., Wang, R., Yao, L., Tak, Y. G., Ye, Z., Gaddis, M., Witt, H. N., Farnham, P., & Jin, V. X. (2012) · Genome biology · doi:10.1186/gb-2012-13-9-r52 · Cited by 108 · see citing works
“A previous study had shown that FOXA2 and HNF4a colocalize at a subset of sites in mouse liver [37], but that study did not examine the relationship of these sites with TCF7L2 binding.”
BackgroundHuck, I., Gunewardena, S., Español‐Suñer, R., Willenbring, H., & Apte, U. M. (2018) · Hepatology · doi:10.1002/hep.30405 · Cited by 104 · see citing works
“We assessed HNF4α transcriptional activity by qPCR analysis of positive(12) and negative target genes of HNF4α(22) at the 0-, 6-, and 12-hours after PH.”
MethodCharacterization of Enhancer Function from Genome-Wide Analyses
Maston, G. A., Landt, S. G., Snyder, M. P., & Green, M. R. (2012) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-090711-163723 · Cited by 97 · see citing works
Walesky, C. M., Gunewardena, S., Terwilliger, E. F., Edwards, G., Borude, P. C., & Apte, U. M. (2012) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00064.2012 · Cited by 93 · see citing works
An integrated ChIP-seq analysis platform with customizable workflows
Γιαννοπούλου, Ε., & Elemento, O. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-277 · Cited by 92 · see citing works
Jakobsen, J. S., Waage, J., Rapin, N., Bisgaard, H. C., Larsen, F. S., & Porse, B. T. (2013) · Genome Research · doi:10.1101/gr.146399.112 · Cited by 93 · see citing works
“Next, we took advantage of published mouse ChIP-seq data sets (Chen et al. 2008; Hoffman et al. 2010; Laudadio et al. 2012) to test if a panel of factors bound to A versus C regions”
MethodSwift, J., & Coruzzi, G. M. (2016) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2016.08.007 · Cited by 91 · see citing works
The Chromatin Fingerprint of Gene Enhancer Elements
Zentner, G. E., & Scacheri, P. C. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.r111.296491 · Cited by 89 · see citing works
Foxa2 and Pdx1 cooperatively regulate postnatal maturation of pancreatic β-cells
Bastidas-Ponce, A., Roscioni, S. S., Burtscher, I., Bader, E., Sterr, M., Bakhti, M., & Lickert, H. (2017) · Molecular Metabolism · doi:10.1016/j.molmet.2017.03.007 · Cited by 82 · see citing works
“In agreement to previous results [42], we found 5976 sites to be co-”
ResultLIM domain–binding 1 maintains the terminally differentiated state of pancreatic &bgr; cells
Ediger, B. N., Lim, H., Juliana, C., Groff, D., Williams, L. T., Dominguez, G., Liu, J.-H., Taylor, B., Walp, E., Kameswaran, V., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci88016 · Cited by 55 · see citing works
“Specifically, the LDB-ISL1 common peaks are located in genomic regions devoid of inactive chromatin modifications (H3K27me3) and enriched for the histone modifications associated with active regulatory elements (H3K27ac and H3K4me1) but not active promoters (H3K4me3) (Figure 5C) (56, 58).”
BackgroundThe nucleosome map of the mammalian liver
Li, Z., Schug, J., Tuteja, G., White, P., & Kaestner, K. H. (2011) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2060 · Cited by 78 · see citing works
“Nucleosome positions estimated from H3K4me1 ChIP-Seq data are unable to resolve closely spaced nucleosomes and also miss multiple nucleosomes detected by mapping of nucleosomes with micrococcal nuclease.”
InfluentialResearch Resource: The Pdx1 Cistrome of Pancreatic Islets
Khoo, C., Yang, J., Weinrott, S. A., Kaestner, K. H., Naji, A., Schug, J., & Stoffers, D. A. (2012) · Molecular Endocrinology · doi:10.1210/me.2011-1231 · Cited by 71 · see citing works
“Previous analysis comparing Pdx1 and Foxa2 occupancy in mouse islets has been reported (58).”
BackgroundIdentification and analysis of murine pancreatic islet enhancers
Tennant, B., Robertson, A. G., Kramer, M. M., Li, L., Zhang, X., Beach, M., Thiessen, N., Chiu, R., Mungall, K. L., Whiting, C. J., et al. (2012) · Diabetologia · doi:10.1007/s00125-012-2797-5 · Cited by 71 · see citing works
Self-citationKang, K., Robinson, G., & Hennighausen, L. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-4 · Cited by 72 · see citing works
Szabat, M., Kalynyak, T. B., Lim, G. E., Chu, K. Y., Yang, Y. H. C., Asadi, A., Gage, B. K., Ao, Z., Warnock, G. L., Piret, J. M., et al. (2011) · Cell Death and Disease · doi:10.1038/cddis.2011.119 · Cited by 61 · see citing works
Kuo, T., Kraakman, M. J., Damle, M., Gill, R. J., Lazar, M. A., & Accili, D. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1904311116 · Cited by 60 · see citing works
“Superenhancers are thought of as hubs of functionally related transcription factors; thus, we incorporated key β cell factors Pdx1, MafA, NeuroD1, and FoxA2 into our analysis (17, 34).”
BackgroundMethodYang, Y. H. C., Szabat, M., Bragagnini, C., Kott, K. A., Helgason, C. D., Hoffman, B. G., & Johnson, J. D. (2011) · Diabetologia · doi:10.1007/s00125-010-2012-5 · Cited by 60 · see citing works
“A mouse islet tag sequencing library was analysed for RefSeq accessions with tag counts greater than five as described [ 30 , 31] (see also Electronic supplementary material [ESM] Methods).”
MethodSelf-citationAn effective statistical evaluation of ChIPseq dataset similarity
Chikina, M. D., & Troyanskaya, O. G. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts009 · Cited by 60 · see citing works
The next generation: Using new sequencing technologies to analyse gene regulation
Cullum, R. L., Alder, O., & Hoodless, P. A. (2010) · Respirology · doi:10.1111/j.1440-1843.2010.01899.x · Cited by 59 · see citing works
Self-citationWorsley-Hunt, R., Mathelier, A., del Peso, L., & Wasserman, W. W. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-472 · Cited by 56 · see citing works
“ca/ data/histone-modification/histone-modification-data [41].”
Scoville, D. W., Kang, H. S., & Jetten, A. M. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107632 · Cited by 56 · see citing works
Pax7 remodels the chromatin landscape in skeletal muscle stem cells
Lilja, K. C., Zhang, N., Magli, A., Gündüz, V., Bowman, C. J., Arpke, R. W., Darabi, R., Kyba, M., Perlingeiro, R. C. R., & Dynlacht, B. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0176190 · Cited by 54 · see citing works
Sandovici, I., Hammerle, C. M., Ozanne, S. E., & Constância, M. (2013) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-013-1297-1 · Cited by 51 · see citing works
“These loci reflect perhaps the ability of the TFs or that of their interacting partners, to bind to compacted chromatin (so-called “pioneer TF”) [56].”
Teo, A. K. K., Tsuneyoshi, N., Hoon, S. S., Tan, E. K., Stanton, L. W., Wright, C. V. E., & Dunn, N. R. (2015) · Stem Cell Reports · doi:10.1016/j.stemcr.2015.02.015 · Cited by 52 · see citing works
“Our data also show that FOXA1/A2binding siteswere significantly enriched in sequence reads fromday 17 PDX1ChIPseq (Figure 2A), and FOXA2:PDX1 co-binding was observed frequently in nearly 2,000 loci in mouse islets (Hoffman et al., 2010).”
BackgroundBarco, B., Kim, Y., & Clay, N. K. (2019) · Nature Communications · doi:10.1038/s41467-019-11406-3 · Cited by 48 · see citing works
“5b) (Heintzman et al., 2007; Hoffman et al., 2010; Roudier et al., 2011; Bonn et al., 2012; Wang et al., 2014).”
Magli, A., Baik, J., Pota, P., Cordero, C. O., Kwak, I.-Y., Garry, D. J., Love, P. E., Dynlacht, B. D., & Perlingeiro, R. C. R. (2019) · Nature Communications · doi:10.1038/s41467-019-10318-6 · Cited by 47 · see citing works
Emerging patterns of epigenomic variation
Milosavljevic, A. (2011) · Trends in Genetics · doi:10.1016/j.tig.2011.03.001 · Cited by 39 · see citing works
Transcription factor‐mediated reprogramming toward hematopoietic stem cells
Ebina, W., & Rossi, D. J. (2015) · The EMBO Journal · doi:10.15252/embj.201490804 · Cited by 38 · see citing works
“Thus, the same TF may exhibit completely different genome-wide binding patterns and regulate non-overlapping sets of target genes in different cell types (Hoffman et al , 2010; Pimkin et al , 2014).”
Chromatin Regulators in Pancreas Development and Diabetes
Campbell, S. A., & Hoffman, B. G. (2016) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2015.12.005 · Cited by 34 · see citing works
Self-citationMafA, NeuroD1, and HNF1β synergistically activate the Slc2a2 (Glut2) gene in β-cells
Ono, Y., & Kataoka, K. (2021) · Journal of Molecular Endocrinology · doi:10.1530/jme-20-0339 · Cited by 34 · see citing works
Sanchez-Ferras, O., Bernas, G., Laberge‐Perrault, E., & Pilon, N. (2014) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2014.04.023 · Cited by 33 · see citing works
Changes in Gene Expression and Estrogen Receptor Cistrome in Mouse Liver Upon Acute E2 Treatment.
Palierne, G., Fabre, A., Solinhac, R., Péron, C. L., Avner, S., Lenfant, F., Fontaine, C., Salbert, G., Flouriot, G., Arnal, J., et al. (2016) · Molecular Endocrinology · doi:10.1210/me.2015-1311 · Cited by 31 · see citing works
“5A, the mean enrichment of these two marks around ER BSs (as 386 defined by the sum of ER BSs detected in placebo- and E2-treated animals) exhibited biphasic curves 387 around the center of the ER BSs, reflecting the existence of modified nucleosomes surrounding 388 poised/activated genomic regions (69-72).”
BackgroundColaneri, A., Staffa, N. G., Fargo, D. C., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105713108 · Cited by 31 · see citing works
“The hepatocyte nuclear factor 4α is a transcription factor found upstream in the regulation pathways of several hepatic genes (27).”
BackgroundEpigenetic regulation of drug processing genes
Klaassen, C. D., Lü, H., & Cui, J. Y. (2011) · Toxicology Mechanisms and Methods · doi:10.3109/15376516.2011.562758 · Cited by 31 · see citing works
“In human prostate cancer LNCaP cells, transcriptional activation of prostate-specific antigen and kallikrein genes by the AR is associated with a cascade of distinct covalent histone modifications, such as acetylation of lysine 9 and 14, methylation of arginine 17, phosphorylation of serine 10, as well as H3K4me2 and…”
BackgroundRetrotransposons as a major source of epigenetic variations in the mammalian genome
Ekram, M. B., Kang, K., Kim, H., & Kim, J. (2012) · Epigenetics · doi:10.4161/epi.19462 · Cited by 31 · see citing works
“As an independent approach for finding retrotransposons with promoter activity, we performed a series of database searches using genome-wide ChIP-Seq data, which were designed to survey active (H3K4me3) regions in different types of cells, including ES (Embryonic Stem), NP (Neural Precursor), and MEF (Mouse Embryonic…”
MethodRapid genome-scale mapping of chromatin accessibility in tissue
Grøntved, L., Bandle, R., John, S., Baek, S., Chung, H., Liu, Y., Aguilera, G., Oberholtzer, J. C., Hager, G. L., & Levens, D. (2012) · Epigenetics & Chromatin · doi:10.1186/1756-8935-5-10 · Cited by 31 · see citing works
“RNA-seq [18]; SREBP-2 ChIP-seq peaks [22]; FOXA2 ChIP-seq peaks [32]; MNase-seq tag library (GEO: GSM717558) [16]; H3K4me1 and H3K4me3 ChIP-seq tag library (SRA008281) [15]; H3K27me2 ChIP-seq tag library (GEO: GSM751034).”
BackgroundDownregulation of HNF4A enables transcriptomic reprogramming during the hepatic acute-phase response
Ehle, C., Iyer-Bierhoff, A., Wu, Y., Xing, S., Kiehntopf, M., Mosig, A. S., Godmann, M., & Heinzel, T. (2024) · Communications Biology · doi:10.1038/s42003-024-06288-1 · Cited by 30 · see citing works
“HNF4AP1bindsto enhancers and promoters of > 50% of liver-speci fi c genes 6 , recruiting co-activators (e.g. P300, TET3) to establish active chromatin states associated with epigenetic modi fi cations such as histone H3K4me1, H3K27ac and 5-hydroxymethylation of cytosines 1,3,11 .”
BackgroundThe Epigenome and Its Role in Diabetes
Waki, H., Yamauchi, T., & Kadowaki, T. (2012) · Current Diabetes Reports · doi:10.1007/s11892-012-0328-x · Cited by 31 · see citing works
“conducted ChIP-seq for FOXA2, HNF4A PDX1, and histone modifications in the mouse liver and pancreatic islets, and showed that both tissue-specific transcription factor binding and nucleosome remodeling complex recruitment are involved in determining tissue-specific gene expression [96].”
MethodPutative Causal Variants Are Enriched in Annotated Functional Regions From Six Bovine Tissues
Prowse-Wilkins, C., Wang, J., Xiang, R., Garner, J. B., Goddard, M., & Chamberlain, A. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.664379 · Cited by 29 · see citing works
“Some studies show a bimodal distribution of H3K4Me1 and/or H3K4Me3 signal at promoters (Barski et al., 2007; Kingsley et al., 2020) but this is not always observed (Hoffman et al., 2010; Bae and Lesch, 2020).”
BackgroundPundhir, S., Bagger, F. O., Lauridsen, F. B., Rapin, N., & Porse, B. T. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw250 · Cited by 26 · see citing works
“Several studies have shown PVP histone modification patterns at regulatory elements as a manifestation of their active state (5,6,49,50).”
BackgroundYY1 Regulates Glucose Homeostasis Through Controlling Insulin Transcription in Pancreatic β-Cells
Liu, D., Yang, Y., Chan, V. W., et al. (2022) · Diabetes · doi:10.2337/db21-0695 · Cited by 26 · see citing works
“Next, we performed enrichment analyses with global histone modification profiling targeting H3K4me1 for primed enhancers, H3K27ac for active enhancers, and H3K27me3 for poised enhancers in pancreatic b-cells, as previously described (27).”
MethodInfluentialReprogramming of liver cells into insulin-producing cells
Meivar‐Levy, I., & Ferber, S. (2015) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2015.10.006 · Cited by 25 · see citing works
YAP transcriptionally regulates ErbB2 to promote liver cell proliferation
Wang, E. Y., Cheng, J.-C., Thakur, A., Yi, Y., Tsai, S.-H., & Hoodless, P. A. (2018) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2018.07.004 · Cited by 24 · see citing works
Self-citationNie, Y., Liu, H., & Sun, X. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060002 · Cited by 24 · see citing works
“For example, H3K4me1-marked nucleosomes have been suggested to locate at binding sites of the nuclear hormone receptor HNF4A in mouse liver [30].”
BackgroundMolecular regulation of mammalian hepatic architecture
Huppert, S. S., & Iwafuchi, M. (2018) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2018.12.003 · Cited by 23 · see citing works
“5), exhibiting a monomodal distribution pattern of H3K4me1 at inactive enhancer regions (Alder et al., 2014; Hoffman et al., 2010).”
BackgroundTakesue, H., Hirota, T., Tachimura, M., Tokashiki, A., & Ieiri, I. (2018) · Molecular Pharmacology · doi:10.1124/mol.118.111807 · Cited by 21 · see citing works
“Previous studies demonstrated that nucleosomes control tissue-specific transcription factor binding to gene promoters, and, thus, contribute to tissue-specific gene expression (Hoffman et al., 2010; Hu et al., 2011; Tsui et al., 2011; Yang et al., 2013; Zhang et al., 2015).”
BackgroundProbabilistic Inference for Nucleosome Positioning with MNase-Based or Sonicated Short-Read Data
Zhang, X., Robertson, G., Woo, S., Hoffman, B. G., & Gottardo, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032095 · Cited by 21 · see citing works
“As a negative control, we show the same profiles generated from mouse adult liver, in which Pdx1 is not expressed, and in which Foxa2 binds & 25% of the sites identified in islets [19] (Figure 8 in ‘figure S1’).”
InfluentialSelf-citationRegulation of hepatic microRNA expression by hepatocyte nuclear factor 4 alpha
Lü, H., Lei, X., Liu, J. T., & Klaassen, C. D. (2017) · World Journal of Hepatology · doi:10.4254/wjh.v9.i4.191 · Cited by 21 · see citing works
Barnett, K. R., Mobley, R. J., Diedrich, J. D., Bergeron, B. P., Bhattarai, K. R., Monovich, A. C., Narina, S., Yang, W., Crews, K. R., Manring, C. S., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100442 · Cited by 21 · see citing works
“Because these histone modifications are typically found at transcriptional enhancers and promoters, 17–20 these findings suggest that these accessible chromatin regions are B-ALL cis -regulatory elements implicated in gene regulation.”
BackgroundStage-specific transcriptomic changes in pancreatic α-cells after massive β-cell loss
Oropeza, D., Cigliola, V., Romero, A., Chera, S., Rodríguez‐Seguí, S. A., & Herrera, P. L. (2021) · BMC Genomics · doi:10.1186/s12864-021-07812-x · Cited by 18 · see citing works
Differential CpG methylation at Nnat in the early establishment of beta cell heterogeneity
Yu, V., Wern, F. Y. S., Marta, A., Khadayate, S. P., Osakwe, A., Bhattacharya, S., Varghese, S. S., CHABOSSEAU, P. L., Tabibi, S. M., Chen, K., et al. (2024) · Diabetologia · doi:10.1007/s00125-024-06123-6 · Cited by 16 · see citing works
“To bolster these transcriptional programmes in vivo, chronic regulation via the epigenome appears to step in to maintain beta cell identity in the long term [3–7].”
BackgroundChen, Y., Ma, X., Xue, X., et al. (2023) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2023.01.006 · Cited by 15 · see citing works
Campbell, S. A., McDonald, C. L., Krentz, N. A. J., Lynn, F. C., & Hoffman, B. G. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.035 · Cited by 15 · see citing works
Self-citationThe Transcription Factor Myt3 Acts as a Pro-Survival Factor in β-cells
Tennant, B., Islam, R., Kramer, M. M., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051501 · Cited by 14 · see citing works
“Data were analyzed as previously described [2,28].”
MethodInfluentialSelf-citationAn Interactive Analysis and Exploration Tool for Epigenomic Data
Younesy, H., Nielsen, C. B., Möller, T. B., Alder, O., Cullum, R. L., Lorincz, M. C., Karimi, M. M., & Jones, S. J. M. (2013) · Computer Graphics Forum · doi:10.1111/cgf.12096 · Cited by 14 · see citing works
“While uni-modal profiles for H3K4me1 have been observed previously in other conditions [HRZ ∗ 10], the unimodal pattern for H4ac is undocumented and warrants further investigation.”
BackgroundResultSelf-citationGenome-wide roles of Foxa2 in directing liver specification
Xu, C., Lu, X., Chen, E. Z., He, Z., Borjigin, U., Li, G., Ma, Y., Hui, L., Xie, B., Gao, Y., et al. (2012) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjs037 · Cited by 13 · see citing works
“Motif analysis showed that all of the 5 top scored motifs were consistent with previously documented Foxa2 binding sites (Supplementary Figure S2C) (Hoffman et al., 2010; Tuteja et al., 2009).”
BackgroundMethodGunewardena, S., Walesky, C. M., & Apte, U. M. (2015) · Genomics Data · doi:10.1016/j.gdata.2015.05.037 · Cited by 12 · see citing works
“In order to distinguish those genes specifically regulated by Hnf4a among the significantly perturbed genes obtained from microarray, we analyzed previously published chromatin immunoprecipitation (ChIP)-sequencing (ChIP-Seq) data for Hnf4a targets obtained from the National Center for Biotechnology Information Short…”
MethodMeyer, C. A., Tang, Q., & Liu, X. S. (2012) · Molecular Endocrinology · doi:10.1210/me.2012-1150 · Cited by 11 · see citing works
The TrxG Complex Mediates Cytokine Induced De Novo Enhancer Formation in Islets
Tennant, B., Hurley, P., Dhillon, J., Gill, A., Whiting, C., & Hoffman, B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141470 · Cited by 10 · see citing works
“DNA from 4 separate ChIP experiments was pooled for library construction and sequencing as previously described [29,30].”
BackgroundMethodSelf-citationHNF4A guides the MLL4 complex to establish and maintain H3K4me1 at gene regulatory elements
Thakur, A., Park, K., Cullum, R., Fuglerud, B. M., Khoshnoodi, M., Drissler, S., Stephan, T. L., Lotto, J., Kim, D., Gonzalez, F. J., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-05835-0 · Cited by 10 · see citing works
“While a concurrence of HNF4A binding and H3K4me1 has been well documented 48 – 50, 52, 60 , we show that HNF4A is essential essential for maintaining H3K4me1 at HBRs, and consequently H3K27ac , in the adult mouse Previously, we determined that HNF4A interacts with TET proteins to maintain…”
BackgroundSelf-citationMa, X., Chen, Y., Liu, M., Xue, X., Zhang, X., Xu, L., Lai, Z., & Lin, Y. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1043464 · Cited by 10 · see citing works
“This marker indicates monomethylation of the fourth lysine residue of histone H3 protein and is commonly associated with gene enhancers (Hoffman et al., 2010).”
BackgroundXPF interacts with TOP2B for R-loop processing and DNA looping on actively transcribed genes
Chatzinikolaou, G., Stratigi, K., Siametis, A., Goulielmaki, E., Akalestou-Clocher, A., Tsamardinos, I., Topalis, P., Austin, C. A., Bouwman, B. A. M., Crosetto, N., et al. (2023) · Science Advances · doi:10.1126/sciadv.adi2095 · Cited by 10 · see citing works
Joshi, A. (2014) · BMC Bioinformatics · doi:10.1186/s12859-014-0412-0 · Cited by 10 · see citing works
“[22] showed high nucleosome positioning at the center of bimodal H3K4me1 peaks compared to mono-modal in mouse islets and liver.”
BackgroundZhang, P., Du, G., Zou, H., Xie, G., Chen, J., Shi, Z., & Zhou, J. (2016) · Scientific Reports · doi:10.1038/srep33970 · Cited by 10 · see citing works
“This study focused firstly on the regions around TSSs and stop codon sites, which are well-defined nucleosome distributions 23,24 .”
Xu, M., Weinberg, C. R., Umbach, D. M., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr397 · Cited by 8 · see citing works
Self-citationPan, G., Liu, Q., Liu, Q., et al. (2019) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2019.11.058 · Cited by 8 · see citing works
Embryonic Development of the Liver
Bort, R., & Zaret, K. S. (2009) · Wiley eBooks · doi:10.1002/9780470747919.ch2 · Cited by 8 · see citing works
Arora, S., Yang, J., Akiyama, T., James, D. Q., Morrissey, A., Blanda, T. R., Badjatia, N., Lai, W., Ko, M. S. H., Pugh, B. F., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.06.561228 · Cited by 8 · see citing works
Chen, Y., Ma, X., Ma, W., et al. (2024) · Fruit Research · doi:10.48130/frures-0024-0005 · Cited by 7 · see citing works
CREB activates the MafA promoter through proximal E-boxes and a CCAAT motif in pancreatic β-cells
Aida, Y., & Kataoka, K. (2024) · Journal of Molecular Endocrinology · doi:10.1530/jme-24-0023 · Cited by 7 · see citing works
Arpeggio: harmonic compression of ChIP-seq data reveals protein-chromatin interaction signatures
Stanton, K., Parisi, F., Strino, F., Rabin, N., Asp, P., & Kluger, Y. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt627 · Cited by 6 · see citing works
Regulation of the F11, Klkb1, Cyp4v3 Gene Cluster in Livers of Metabolically Challenged Mice
Safdar, H., Cleuren, A. C. A., Cheung, K. L., Gonzalez, F. J., Vos, H. L., Inoue, Y., Reitsma, P. H., & van Vlijmen, B. J. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074637 · Cited by 7 · see citing works
“Indeed, the mouse and human F11 loci are predicted to carry multiple functional HNF4α binding sites [15,16].”
BackgroundGlucocorticoids reduce Slc2a2 ( GLUT2 ) gene expression through HNF1 in pancreatic β-cells
Ono, Y., & Kataoka, K. (2024) · Journal of Molecular Endocrinology · doi:10.1530/jme-24-0077 · Cited by 4 · see citing works
Vittani, M., Knak, P. G., Fukuda, M., Nagao, M., Wang, X., Kjærby, C., Konno, A., Hirai, H., Nedergaard, M., & Hirase, H. (2024) · Neuromethods · doi:10.1007/978-1-0716-4011-1_6 · Cited by 4 · see citing works
Mao, L., Wang, H., Ma, F., et al. (2017) · International Journal of Radiation Biology · doi:10.1080/09553002.2017.1332439 · Cited by 4 · see citing works
“FOXA2 and PDX1 synergistically regulate the expression of genes involved in b-cell function, and FOXA2 and HNF4A collaborate to maintain the expression of genes involved in the developing pancreas and liver (Hoffman et al. 2010).”
BackgroundHNF4α as a Master Regulator of Epigenetic Dynamics in Epithelial Cells
Amicone, L., Cicchini, C., & Marchetti, A. (2025) · Genes · doi:10.3390/genes17010041 · Cited by 3 · see citing works
- Authors
- Hoffman, B. G., Robertson, G., Zavaglia, B., Beach, M., Cullum, R., Lee, S., Soukhatcheva, G., Li, L., Wederell, E. D., Thiessen, N., Bilenky, M., Cezard, T., Tam, A., Kamoh, B., Birol, I., Dai, D., Zhao, Y., Hirst, M., Verchere, C. B., Helgason, C. D., Marra, M. A., Jones, S. J. M., & Hoodless, P. A.
- Affiliations
- BC Cancer Agency (CA)
- Sunny Hill Health Centre for Children (CA)
- National Institutes of Health (US)
- ORCID
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2010-06-15
- Volume
- 20
- Issue
- 8
- Pages
- 1037-1051
- ISSN
- 1088-9051 (ISSN-L)
- PMC
- PMC2909568
- OpenAlex
- W2128612482
- Semantic Scholar
- da4dd8b0126253d364233bda9966f232ef04e365
- Cited by
- 115
- References
- 62
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 8 · 2023: 5 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 5 · 2016: 9 · 2015: 9 · 2014: 7 · 2013: 12 · 2012: 18
- Type
- posted content
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- Genome Research (publishedVersion, other-oa)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Genome Canada
- Canada's Michael Smith Genome Sciences Centre
- Michael Smith Health Research BC
- Genome British Columbia
- National Institutes of Health
- Canadian Institutes of Health Research
- National Institute of Environmental Health Sciences (Z01ES101765)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- FOXA2, HNF4α, PDX1, H3K4me1, H3K4me3, nucleosome positioning, transcription factor binding sites, islets, liver, pancreatic islets, enhancers, promoter, transcriptional activation, pioneer transcription factors, nucleosome remodeling, tissue-specific gene expression, transcriptional regulatory networks
- MeSH terms
- Animals, Base Sequence, Binding Sites, Histones, Islets of Langerhans, Liver, Molecular Sequence Data, Nucleosomes, Regulatory Sequences, Nucleic Acid, Trans-Activators, Homeodomain Proteins, Gene Expression Profiling, Mice, Hepatocyte Nuclear Factor 3-beta, Hepatocyte Nuclear Factor 4, Genetic Loci
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 2026-10-23.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-23.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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