Cited by 115Genomics and Chromatin DynamicsEpigenetics and DNA MethylationChromatin Remodeling and Cancer

Locus co-occupancy, nucleosome positioning, and H3K4me1 regulate the functionality of FOXA2-, HNF4A-, and PDX1-bound loci in islets and liver

Open access
Hoffman, Brad G., Robertson, Gordon, Zavaglia, Bogard, Beach, Mike, Cullum, Rebecca, Lee, Sam, Soukhatcheva, Galina, Li, Leping +15 more·2010·Genome Research

Abstract

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.

AI snapshot

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.

Integrity signals

Registry

Crossref · 10.1101/gr.104356.109

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

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
  • 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.

    Interpretationcitation

    Tissue-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 data

    Low 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 data

    FOXA2 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 claim
  • May combine two claims.

    Findingown data

    Genes 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 claim
  • May combine two claims.

    Findingown data

    Bimodal 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    RT-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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    For 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 claim
  • May combine two claims.

    Findingown data

    PDX1-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
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    Nucleosome 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 data

    In 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 claim
  • May combine two claims.

    Findingown data

    The 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
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    Genes 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 claim
  • May combine two claims.

    Findingown data

    Low 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 claim
  • May combine two claims.

    Findingown data

    ChIP-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
  • May combine two claims.

    Findingown data

    A 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    FOXA2-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 claim
  • May combine two claims.

    Findingown data

    Among 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 claim
  • May combine two claims.

    Interpretationreasoning

    Bimodal 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.

    Interpretationreasoning

    Bimodal 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 claim
  • May combine two claims.

    Interpretationown data

    Neither 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 claim
  • May combine two claims.

    Interpretationown data

    Bimodal 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 claim
  • May combine two claims.

    Interpretationown data

    The 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 claim
  • May combine two claims.

    Interpretationown data

    FOXA2 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 claim
  • May combine two claims.

    Interpretationown data

    Bimodal 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductcitation

    DNA 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 data

    Bimodal 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    After 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    Enriched 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Regions 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    Motif 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 data

    Neither 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    RefSeq 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    ChIP-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 claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Sites 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 claim
  • May combine two claims.

    Interpretationown data

    FOXA2-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 claim
  • Classified as probably not a substantial claim. May combine two claims. The quote only partly states this claim.

    Study design and conductnone given

    MNase-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 claim
  • May combine two claims.

    Interpretationown data

    Monomodal 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
42 of 42
  • 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.”
3 of 3

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 measured
  • Upon 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 measured
  • Higher 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).”

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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)
Venue
Genome Research
Published
2010-06-15
Volume
20
Issue
8
Pages
1037-1051
ISSN
1088-9051 (ISSN-L)
OpenAlex
W2128612482
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
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.

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