Synergistic gene expression during the acute phase response is characterized by transcription factor assisted loading
Open accessAbstract
The cytokines interleukin 1β and 6 (IL-1β, IL-6) mediate the acute phase response (APR). In liver, they regulate the secretion of acute phase proteins. Using RNA-seq in primary hepatocytes, we show that these cytokines regulate transcription in a bifurcated manner, leading to both synergistic and antagonistic gene expression. By mapping changes in enhancer landscape and transcription factor occupancy (using ChIP-seq), we show that synergistic gene induction is achieved by assisted loading of STAT3 on chromatin by NF-κB. With IL-6 treatment alone, STAT3 does not efficiently bind 20% of its coordinated binding sites. In the presence of IL-1β, NF-κB is activated, binds a subset of enhancers and primes their activity, as evidenced by increasing H3K27ac. This facilitates STAT3 binding and synergistic gene expression. Our findings reveal an enhancer-specific crosstalk whereby NF-κB enables STAT3 binding at some enhancers while perturbing it at others. This model reconciles seemingly contradictory reports of NF-κB-STAT3 crosstalk.
AI snapshot
Written from the paper’s full text.
TL;DR
In primary mouse hepatocytes, IL-1β and IL-6 produce a bifurcated acute-phase transcriptional response, with both synergistic and antagonistic gene regulation. Genome-wide profiling shows NF-κB binds and primes a subset of enhancers via p300/CBP-dependent H3K27ac, enabling assisted STAT3 loading and synergistic acute-phase gene induction.
Key findings
- RNA-seq in primary mouse hepatocytes identified 3,260 genes differentially expressed after at least one cytokine treatment (1.5-fold change, adjusted p ≤ 0.05); dual IL-1β + IL-6 treatment produced both synergistic and antagonistic expression patterns.
- STAT3 ChIP-seq showed 351 sites (20% of total STAT3 binding events) with significantly increased STAT3 binding in dual treatment versus IL-6 alone; the majority, 80% (n = 1,428), were unaffected or reduced by IL-1β. Assisted sites reached STAT3 binding levels similar to unassisted sites, while IL-1β reduced STAT3 binding at unassisted sites.
- Assisted STAT3 sites were far more likely to be near synergistic genes: the nearest gene for 63 assisted sites was a synergistic gene, compared with only 2 additive genes. NF-κB motifs and p65 binding were enriched at assisted sites; NF-κB inhibition abolished assisted STAT3 binding at 92% of sites (325/351) and abolished synergistic gene induction.
- Acute phase signaling was the most enriched pathway in dual-induced genes (p = 1.11 × 10−24) and in synergistic genes (p = 2.15 × 10−10); p300/CBP inhibition negated H3K27ac and assisted STAT3 binding.
Methods
- Primary mouse hepatocytes from male C57BL/6 mice were treated with IL-1β, IL-6, both (10 ng ml−1 each), or TNF (2 ng ml−1) for 2 h; nascent transcripts were measured by qPCR spanning exon-intron junctions and normalized to Tbp.
- Genome-wide profiling used RNA-seq (CuffDiff; two replicates per treatment) and ChIP-seq for STAT3, p65, CEBPB, cJun, RNAP II, and H3K27ac, with peak calling by MACS2 and differential binding by DESeq/HOMER.
- Perturbation experiments used STAT3 inhibitor BP-1-102, p300/CBP inhibitors C646, SGC-CBP30, and I-CBP112, and adenoviral dominant-negative NF-κB, dominant-negative AP-1, or shRNA against CEBPB; sequencing data are in GEO GSE96770.
Limitations
- The paper does not include a dedicated limitations section.
- Evident from the text: the main experiments use primary mouse hepatocytes in vitro, male C57BL/6 mice, and a short 2 h cytokine treatment, so the findings may not fully capture chronic inflammation, other liver cell types, or in vivo complexity.
- Evident from the text: RNA-seq used two replicates per treatment, and the Saa1/2 qPCR primer could not differentiate between Saa1 and Saa2.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
37 of 50 cited sources checked · 27 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Assisted loading events are coupled with increases in enhancer activity as measured by DNase hypersensitivity or H3K27 acetylation (H3K27ac).
“Assisted loading events are coupled with increases in enhancer activity as measured by DNase hypersensitivity or H3K27 acetylation (H3K27ac), two well-established markers for active enhancers38–40.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [38] Rivera, C. M. & Ren, B. Mapping human epigenomes. Cell 155, 39–55 (2013). source
- cites [39] Creyghton, M. P. et al. Histone H3K27ac separates active from poised enhancers and predicts developmental state. Proc. Natl Acad. Sci. USA 107, 21931–21936 (2010). source
- cites [40] Thurman, R. E. et al. The accessible chromatin landscape of the human genome. Nature 489, 75–82 (2012). source
The Introduction (page unavailable) describes DNaseI hypersensitivity as characteristic of active regulatory elements, including enhancers, and the section on stereotyped chromatin accessibility links DHS patterns to enhancer activity. This supports DNase hypersensitivity as an enhancer marker, but the cited paper does not establish H3K27ac as a marker or examine assisted-loading events. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
The claim that pioneer factors open inaccessible chromatin without the assistance of chromatin remodelers has been recently challenged.
“This has been recently challenged by us and others59.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [59] Goldstein, I. & Hager, G.L. Dynamic enhancer function in the chromatin context. Wiley Interdiscip. Rev. Syst. Biol. Med. doi:10.1002/wsbm.1390 (2017). source
- Premisecitation
Chromatin loading of FoxA1 (a well-established pioneer factor) was shown to need assistance by non-pioneer TFs in a signal-dependent manner.
“For example, the chromatin loading of FoxA1 (a well-established pioneer factor), was shown to need assistance by non-pioneer TFs in a signal-dependent manner35.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [35] Swinstead, E. E. et al. Steroid receptors reprogram FoxA1 occupancy through dynamic chromatin transitions. Cell 165, 593–605 (2016). source
- Interpretationcitation
These reports, together with ours, challenge the concept that NF-κB and other signal-activated TFs are restricted to enhancer regions pre-activated by lineage-determining factors.
“These reports, together with ours, challenge the concept that NF-κB and other signal-activated TFs are restricted to enhancer regions pre-activated by lineage-determining factors58.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [58] Zaret, K. S. & Carroll, J. S. Pioneer transcription factors: establishing competence for gene expression. Genes Dev. 25, 2227–2241 (2011). source
In “Initiating events in chromatin: pioneer factors bind first” (page unavailable), the review describes PU.1 priming enhancers and facilitating other factors’ binding, including at an enhancer regulated by NF-κB. It does not establish that NF-κB and other signal-activated factors are restricted to pre-activated enhancers; “Interaction between FoxA1 and diverse nuclear receptors” (page unavailable) even describes sites where the signal-responsive glucocorticoid receptor pioneers binding. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Pioneer factors have been shown to be dependent on chromatin remodelers during differentiation.
“Moreover, pioneer factors have been shown to be dependent on chromatin remodelers during differentiation60.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [60] King, H. W. & Klose, R. J. The pioneer factor OCT4 requires the chromatin remodeller BRG1 to support gene regulatory element function in mouse embryonic stem cells. Elife 6, pii: e22631 (2017). source
The Discussion (page not available) states that OCT4 requires the chromatin remodeller BRG1 for chromatin accessibility and notes a similar dependency for GATA3. However, the direct experiments concern mouse embryonic stem cells; the Results section on reprogramming and development says only that developmental transitions may require OCT4 and BRG1. The source therefore does not establish a general dependency of pioneer factors on remodelers during differentiation. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingown data
With IL-6 treatment alone, STAT3 does not efficiently bind 20% of its coordinated binding sites.
“With IL-6 treatment alone, STAT3 does not efficiently bind 20% of its coordinated binding sites.”
Quote in the paperSubstantial claim - Findingown data
The H3K27ac signal increased in the vicinity of cytokine-induced genes in a cytokine-specific manner.
“Indeed, the H3K27ac signal increased in the vicinity of cytokine-induced genes in a cytokine-specific manner (Fig. 2d).”
Quote in the paperSubstantial claim - Findingown data
The ability of STAT3 to bind its motif is probably further diminished due to the low average motif score in assisted sites compared to unassisted sites.
“Additionally, the ability of STAT3 to bind its motif is probably further diminished due to the low average motif score in assisted sites compared to unassisted sites (Fig. 4g).”
Quote in the paperSubstantial claim - Findingown data
92% of sites (325/351) did not show any STAT3 binding when NF-κB was inhibited.
“In fact, 92% of sites (325/351) did not show any STAT3 binding when NF-κB was inhibited (Supplementary Data 4).”
Quote in the paperSubstantial claim- Rests on an assumption: The dominant negative NF-κB peptide specifically inhibits NF-κB activity without affecting other pathways or STAT3 directly.
- Findingown data
RNAP II occupancy at these enhancers increased in a cytokine-specific manner as well.
“Further attesting to the cytokine-dependent activation of these enhancers, RNAP II occupancy at these enhancers increased in a cytokine-specific manner as well (Supplementary Fig. 4c).”
Quote in the paperSubstantial claim - Findingown data
Addition of IL-1β led to a decrease in STAT3 binding at unassisted sites.
“In stark contrast to assisted sites, addition of IL-1β led to a decrease in STAT3 binding at unassisted sites (Figs. 4b, c).”
Quote in the paperSubstantial claim - Findingown data
Assisted STAT3 peaks were far more likely to reside proximally to synergistic genes than to the same number of dual-induced genes with an additive fold change.
“Assisted STAT3 peaks were far more likely to reside proximally to synergistic genes than to the same number of dual-induced genes with an additive fold change (Fig. 4d).”
Quote in the paperSubstantial claim - Findingown data
H3K27ac peaks were most abundant in intergenic and intronic regions.
“In agreement with previous studies and with its tight association with gene regulation, H3K27ac peaks were most abundant in intergenic and intronic regions (Supplementary Fig. 4a; in this analysis and all subsequent analyses, all H3K27ac regions were included—both regions proximal and distal to transcription start sites).”
Quote in the paperNot a substantial claim - Findingown data
Dual-induced genes are significantly enriched within genes induced in mice following either lipopolysaccharide (LPS) injection or Streptococcus pneumoniae infection.
“We found a significant enrichment of dual-induced genes within genes induced in mice following either lipopolysaccharide (LPS) injection or Streptococcus pneumoniae infection, (Supplementary Fig. 1c).”
Quote in the paperSubstantial claim - Findingown data
Synergistic gene expression, H3K27ac priming and STAT3 binding are negated in assisted enhancers following inhibition of NF-κB.
“(g) Synergistic gene expression, H3K27ac priming and STAT3 binding are negated in these enhancers following inhibition of NF-κB.”
Quote in the paperSubstantial claim - Findingown data
Assisted enhancers are proximal to synergistic genes.
“(d) These enhancers are proximal to synergistic genes.”
Quote in the paperSubstantial claim - Findingown data
STAT3 binding at some sites was perturbed in the dual treatment.
“Conversely, STAT3 binding at some sites was perturbed in the dual treatment (Fig. 3d).”
Quote in the paperSubstantial claim - Findingown data
Assisted STAT3 sites have distinct determinants that distinguish them from unassisted sites.
“We found that assisted STAT3 sites have distinct determinants that distinguish them from unassisted sites and provide this enhancer-specific mode of action:”
Quote in the paperSubstantial claim - Findingown data
STAT3 binding was markedly increased following IL-6 treatment.
“As expected, STAT3 binding was markedly increased following IL-6 treatment (Figs. 3a, b Supplementary Data 3).”
Quote in the paperSubstantial claim - Findingown data
The H3K27ac ChIP-seq signal in primary hepatocytes was associated with enhancer marks in mouse liver (DNase hypersensitivity and p300 occupancy), suggesting that hepatocytes largely recapitulate enhancer regions of intact mouse liver.
“Moreover, the H3K27ac ChIP-seq signal in primary hepatocytes was associated with enhancer marks in mouse liver (DNase hypersensitivity and p300 occupancy), suggesting that hepatocytes largely recapitulate enhancer regions of intact mouse liver (Supplementary Fig. 4b).”
Quote in the paperNot a substantial claim - Findingown data
NF-κB motifs and p65 binding are enriched in assisted enhancers compared to unassisted enhancers.
“(e) NF-κB motifs and p65 binding are enriched in these enhancers compared to unassisted enhancers.”
Quote in the paperSubstantial claim - Findingown data
At a subset of sites, STAT3 binding was substantially increased in the dual treatment compared to IL-6.
“Surprisingly, at a subset of sites, STAT3 binding was substantially increased in the dual treatment compared to IL-6 (Fig. 3c, Supplementary Fig. 5b).”
Quote in the paperSubstantial claim - Findingown data
Assisted loading of STAT3 was completely negated in most regions in the presence of a NF-κB dominant negative peptide (DN-NFκB).
“Remarkably, assisted loading of STAT3 was completely negated in most regions under those conditions (Fig. 6b–d, Supplementary Fig. 8a).”
Quote in the paperSubstantial claim- Rests on an assumption: The dominant negative NF-κB peptide specifically inhibits NF-κB activity without affecting other pathways or STAT3 directly.
- Findingown data
Dual-induced genes are significantly enriched within NASH- and HCV-induced genes.
“As found in acute inflammation, dual-induced genes were significantly enriched within NASH- and HCV-induced genes (Supplementary Fig. 1c).”
Quote in the paperSubstantial claim - Findingown data
The hepatic transcriptome was dramatically altered following cytokine treatments, with differential expression of 3,260 genes in response to at least one treatment (1.5-fold change, adjusted p-value ≤ 0.05, measured by CuffDiff).
“The hepatic transcriptome was dramatically altered following these treatments, with differential expression of 3,260 genes in response to at least one treatment (1.5-fold change, adjusted p-value ≤ 0.05, measured by CuffDiff, Supplementary Data 1, Supplementary Fig. 1b).”
Quote in the paperSubstantial claim - Findingown data
The STAT3 motif is weaker in assisted enhancers compared to unassisted enhancers.
“(c) The STAT3 motif is weaker in these enhancers compared to unassisted enhancers.”
Quote in the paperSubstantial claim - Findingown data
The expression of Fgg, an IL-6-induced gene antagonized by IL-1β, was increased in NF-κB-inhibited cells.
“In contrast, the expression of Fgg, an IL-6-induced gene antagonized by IL-1β, was increased in NF-κB-inhibited cells (Supplementary Fig. 7b).”
Quote in the paperNot a substantial claim- Rests on an assumption: The dominant negative NF-κB peptide specifically inhibits NF-κB activity without affecting other pathways or STAT3 directly.
- Findingown data
An inhibitor of STAT3 activity dramatically perturbed synergistically induced genes.
“Accordingly, an inhibitor of STAT3 activity dramatically perturbed synergistically induced genes (Supplementary Fig. 5a).”
Quote in the paperSubstantial claim - Findingown data
p300/CBP enzymes catalyzing H3K27ac are involved in synergistic gene expression.
“As shown above, the enzymes catalyzing H3K27ac (p300/CBP) are involved in synergistic gene expression (Fig. 4f, Supplementary Fig. 6).”
Quote in the paperSubstantial claim - Findingown data
Many enhancers were activated following the various cytokine treatments in a pattern reminiscent of gene induction patterns.
“When profiling changes in H3K27ac between different cytokine treatments, we found that many enhancers were activated following the various treatments in a pattern reminiscent of gene induction patterns (Fig. 2c).”
Quote in the paperSubstantial claim - Findingown data
STAT3 binding is dramatically affected at a subset of enhancers near synergistic genes.
“Conversely, STAT3 binding is dramatically affected at a subset of enhancers near synergistic genes.”
Quote in the paperSubstantial claim - Findingown data
No IL-6 enhancer priming was found next to synergistic genes.
“Considering this, assisting of NF-κB by STAT3 is also plausible but we found no IL-6 enhancer priming next to synergistic genes, thereby making this option less likely.”
Quote in the paperSubstantial claim - Interpretationreasoning
This model reconciles seemingly contradictory reports of NF-κB-STAT3 crosstalk.
“This model reconciles seemingly contradictory reports of NF-κB-STAT3 crosstalk.”
Quote in the paperSubstantial claim - Interpretationown data
Synergistic gene induction is achieved by assisted loading of STAT3 on chromatin by NF-κB.
“By mapping changes in enhancer landscape and transcription factor occupancy (using ChIP-seq), we show that synergistic gene induction is achieved by assisted loading of STAT3 on chromatin by NF-κB.”
Quote in the paperSubstantial claim- Rests on an assumption: IL-1β does not directly activate STAT3.
- Interpretationown data
The effects of combinatorial cytokine treatment are mediated by crosstalk between TFs rather than a TF cascade or other mechanisms of temporal organization.
“Our time course and pre-treatment experiments suggest that these effects are mediated by crosstalk between TFs rather than a TF cascade or other mechanisms of temporal organization.”
Quote in the paperSubstantial claim - Interpretationown data
These gene inductions do not affect gene regulation in the first 24 h of cytokine exposure.
“While these gene inductions may have effects during chronic inflammation, they do not affect gene regulation in the first 24 h of cytokine exposure (Fig. 2b, Supplementary Fig. 3a, b).”
Quote in the paperSubstantial claim - Interpretationown data
These findings suggest a specific mode of action dedicated for synergistic gene induction whereby an IL-1β-activated TF assists STAT3 loading on specific enhancers associated with synergistic genes.
“These findings suggest a specific mode of action dedicated for synergistic gene induction whereby an IL-1β-activated TF assists STAT3 loading on specific enhancers associated with synergistic genes.”
Quote in the paperSubstantial claim - Interpretationown data
Following a pro-inflammatory signal, TFs cooperate on a specific subset of enhancers via assisted loading to induce a synergistic gene expression program in hepatocytes.
“We show that following a pro-inflammatory signal, TFs cooperate on a specific subset of enhancers via assisted loading to induce a synergistic gene expression program in hepatocytes.”
Quote in the paperSubstantial claim - Interpretationreasoning
NF-κB binding leads to a switch in the enhancer state from a quiescent to an activated one.
“This leads to a switch in the enhancer state from a quiescent to an activated one.”
Quote in the paperSubstantial claim - Interpretationown data
Cytokine-dependent gene induction is mediated primarily by changes in gene transcription.
“The same correlation was found in IL-6- and dual-induced genes, suggesting that cytokine-dependent gene induction is mediated primarily by changes in gene transcription.”
Quote in the paperSubstantial claim - Interpretationreasoning
These events lead to synergistic expression of APR genes.
“These events lead to synergistic expression of APR genes.”
Quote in the paperSubstantial claim - Interpretationreasoning
Due to enhancer priming, STAT3 binds these enhancers much more efficiently in the dual treatment than it would in the presence of only IL-6.
“Due to this enhancer priming, STAT3 binds these enhancers much more efficiently in the dual treatment than it would in the presence of only IL-6.”
Quote in the paperSubstantial claim - Interpretationown data
NF-κB and H3K27ac are implicated in STAT3 assisted loading at a subset of enhancers.
“Collectively, these findings implicate NF-κB and H3K27ac in STAT3 assisted loading at a subset of enhancers.”
Quote in the paperSubstantial claim - Interpretationown data
The study reveals an enhancer-specific type of cooperation between cytokine-activated TFs.
“Instead, our study reveals an enhancer-specific type of cooperation between cytokine-activated TFs.”
Quote in the paperSubstantial claim - Premisereasoning
Enhancer activation is a central part in TF cooperation via assisted loading.
“Thus, enhancer activation is a central part in TF cooperation via assisted loading.”
Quote in the paperSubstantial claim - Interpretationreasoning
Cytokine-activated TFs directly cooperate, possibly on the chromatin template, to induce genes.
“These observations suggest cytokine-activated TFs directly cooperate, possibly on the chromatin template, to induce genes.”
Quote in the paperSubstantial claim - Interpretationown data
Pro-inflammatory cytokines dramatically alter the hepatic chromatin landscape to facilitate global changes in gene transcription.
“Taken together, these data show that pro-inflammatory cytokines dramatically alter the hepatic chromatin landscape to facilitate global changes in gene transcription.”
Quote in the paperSubstantial claim - Interpretationreasoning
Such a dynamic assisted loading mechanism is suitable for the demand for rapid and intense gene induction during the APR.
“We propose that such a dynamic assisted loading mechanism is suitable for the demand for rapid and intense gene induction during the APR.”
Quote in the paperNot a substantial claim - Interpretationreasoning
A model based solely on protein-protein interaction cannot explain enhancer-specificity whereby NF-κB promotes STAT3 binding at some enhancers while perturbing it at others.
“A model based solely on protein–protein interaction cannot explain enhancer-specificity whereby NF-κB promotes STAT3 binding at some enhancers, while perturbing it at others.”
Quote in the paperSubstantial claim - Interpretationown data
The findings reveal a regulatory module in inflammatory signaling whereby NF-κB primes a subset of enhancers and assists STAT3 loading on them.
“In summary, the findings we report here reveal a regulatory module in inflammatory signaling whereby NF-κB primes a subset of enhancers and assists STAT3 loading on them.”
Quote in the paperSubstantial claim - Interpretationreasoning
These two TFs then synergistically induce acute phase genes critical to protect from infection and tissue damage.
“These two TFs then synergistically induce acute phase genes critical to protect from infection and tissue damage.”
Quote in the paperSubstantial claim - Interpretationreasoning
This report expands the reach of the assisted loading model to immunological responses.
“This report expands the reach of that model to immunological responses.”
Quote in the paperSubstantial claim - Study design and conductown data
Replicate reproducibility was high as measured with Pearson correlation (NT: 0.997, IL-6: 0.997, TNF: 0.996, IL-1β: 0.997, IL-6 + TNF: 0.997, IL-6 + IL-1β: 0.994).
“Replicate reproducibility was high as measured with Pearson correlation (NT: 0.997, IL-6: 0.997, TNF: 0.996, IL-1β: 0.997, IL-6 + TNF: 0.997, IL-6 + IL-1β: 0.994).”
Quote in the paperSubstantial claim - Interpretationown data
The dynamic and signal-dependent nature of enhancer activation seen in this study, and in many others, is at odds with the concept that the enhancer landscape is set during differentiation and remains rigidly static thereafter.
“The dynamic and signal-dependent nature of enhancer activation seen in this study, and in many others, is at odds with the concept that the enhancer landscape is set during differentiation and remains rigidly static thereafter.”
Quote in the paperSubstantial claim - Interpretationown data
A significant portion of STAT3-NF-κB cooperation occurs in an enhancer-specific manner rather than in a systemic one.
“Our results reconcile some of the confusion in the field by showing that a significant portion of STAT3-NF-κB cooperation occurs in an enhancer-specific manner rather than in a systemic one.”
Quote in the paperSubstantial claim - Interpretationcitation
Pioneer factors play a role in establishing chromatin landscape in a manner dependent on both chromatin remodelers and assisted loading by signal-activated TFs.
“Thus, it appears that pioneer factors play a role in establishing chromatin landscape in a manner dependent on both chromatin remodelers and assisted loading by signal-activated TFs.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 17
- May combine two claims. 46
- The quote only partly states this claim. 1
Classified as probably not a substantial claim.
PremisecitationTFs do not bind DNA for periods of time longer than a few seconds.
“In contrast to the long-held view, an accumulating body of work suggests that TFs do not bind DNA for periods of time longer than a few seconds26, 27.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [26] Voss, T. C. & Hager, G. L. Dynamic regulation of transcriptional states by chromatin and transcription factors. Nat. Rev. Genet. 15, 69–81 (2014). source
The ‘In vivo dynamics of transcription factors’ section reports rapid exchange for many transcription factors, supporting the contrast with long-term binding. But it also says some site-specific DNA-binding proteins have longer residence times and that transcription factors likely have a broad range of residence times. It does not support a universal limit of a few seconds. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [27] Stavreva, D. A. & Hager, G. L. Chromatin structure and gene regulation: a dynamic view of enhancer function. Nucleus 6, 442–448 (2015). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisereasoningThe suggested mechanisms for the STAT3-NF-κB crosstalk are often contradictory and a consensus has not been reached.
“Thus, the suggested mechanisms for the STAT3-NF-κB crosstalk are often contradictory and a consensus has not been reached.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [18] Yang, J. et al. Unphosphorylated STAT3 accumulates in response to IL-6 and activates transcription by binding to NFkappaB. Genes Dev. 21, 1396–408 (2007). source
The paper’s Abstract and Discussion describe several STAT3–NF-κB interactions with different effects, including enhanced transcription of some genes and inhibition of another. That supports the idea that proposed mechanisms vary, but the paper does not say they are often contradictory or that no consensus has been reached. Page numbers are unavailable in our copy. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [19] Yu, Z., Zhang, W. & Kone, B. C. Signal transducers and activators of transcription 3 (STAT3) inhibits transcription of the inducible nitric oxide synthase gene by interacting with nuclear factor kappaB. Biochem. J. 367, 97–105 (2002). source
The introduction says relatively little is known about how transcription-factor interactions regulate iNOS, and the discussion says the domains mediating the STAT3–NF-κB interaction remain unidentified (page numbers unavailable). These passages support uncertainty about the mechanism, but the paper does not say proposed mechanisms are often contradictory or that the field lacks a consensus. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [21] Martincuks, A. et al. Nuclear translocation of STAT3 and NF-kappaB are independent of each other but NF-kappaB supports expression and activation of STAT3. Cell Signal. 32, 36–47 (2017). source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationDynamic assisted loading does not require a physical interaction between TFs, but is thought to rely on one TF activating the enhancer by recruiting chromatin remodeling and histone modifying enzymes to the enhancer, thereby making it more accessible to other TFs.
“This effect, termed ‘dynamic assisted loading’, does not require a physical interaction between TFs, but is thought to rely on one TF activating the enhancer by recruiting chromatin remodeling and histone modifying enzymes to the enhancer, thereby making it more accessible to other TFs29.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [29] Swinstead, E. E., Paakinaho, V., Presman, D. M. & Hager, G. L. Pioneer factors and ATP-dependent chromatin remodeling factors interact dynamically: A new perspective: Multiple transcription factors can effect chromatin pioneer functions through dynamic interactions with ATP-dependent chromatin remodeling factors. Bioessays 38, 1150–1157 (2016). source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationThe crosstalk between STAT3 and NF-κB is an active field of research with studies showing contradictory outcomes of concomitant activation of the two TFs.
“The crosstalk between STAT3 and NF-κB is an active field of research with studies showing contradictory outcomes of concomitant activation of the two TFs.”
Quote in the paperSubstantial claim4 of 7 sources checked- cites [2] Bode, J. G., Albrecht, U., Haussinger, D., Heinrich, P. C. & Schaper, F. Hepatic acute phase proteins--regulation by IL-6- and IL-1-type cytokines involving STAT3 and its crosstalk with NF-kappaB-dependent signaling. Eur. J. Cell Biol. 91, 496–505 (2012). source
- cites [16] Yu, H., Pardoll, D. & Jove, R. STATs in cancer inflammation and immunity: a leading role for STAT3. Nat. Rev. Cancer 9, 798–809 (2009). source
- cites [17] Quinton, L. J. & Mizgerd, J. P. NF-kappaB and STAT3 signaling hubs for lung innate immunity. Cell Tissue Res. 343, 153–65 (2011). source
- cites [18] Yang, J. et al. Unphosphorylated STAT3 accumulates in response to IL-6 and activates transcription by binding to NFkappaB. Genes Dev. 21, 1396–408 (2007). source
- cites [19] Yu, Z., Zhang, W. & Kone, B. C. Signal transducers and activators of transcription 3 (STAT3) inhibits transcription of the inducible nitric oxide synthase gene by interacting with nuclear factor kappaB. Biochem. J. 367, 97–105 (2002). source
The introduction (page unavailable) describes cooperative and antagonistic interactions involving STAT proteins and NF-κB, and the paper reports that STAT3 antagonizes NF-κB signaling in activated mesangial cells. It does not establish that studies found contradictory outcomes specifically for concomitant STAT3 and NF-κB activation; its broader examples include other STAT proteins. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [20] Lee, H. et al. Persistently activated Stat3 maintains constitutive NF-kappaB activity in tumors. Cancer Cell 15, 283–93 (2009). source
- cites [21] Martincuks, A. et al. Nuclear translocation of STAT3 and NF-kappaB are independent of each other but NF-kappaB supports expression and activation of STAT3. Cell Signal. 32, 36–47 (2017). source
Classified as probably not a substantial claim.
PremisecitationThe events bringing about the hepatic immune response during inflammation remain elusive.
“Several models have been suggested2, 16 but the events bringing about the hepatic immune response during inflammation remain elusive.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [2] Bode, J. G., Albrecht, U., Haussinger, D., Heinrich, P. C. & Schaper, F. Hepatic acute phase proteins--regulation by IL-6- and IL-1-type cytokines involving STAT3 and its crosstalk with NF-kappaB-dependent signaling. Eur. J. Cell Biol. 91, 496–505 (2012). source
- cites [16] Yu, H., Pardoll, D. & Jove, R. STATs in cancer inflammation and immunity: a leading role for STAT3. Nat. Rev. Cancer 9, 798–809 (2009). source
The section “STAT3–NF-κB in cancer inflammation” says that a mechanism of immune-gene regulation in tumours remains unresolved, but it does not address what brings about the hepatic immune response during inflammation. A search for hepatic immune-response mechanisms found no passage in our copy that makes the attributed point. (LLM, conf=0.74)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationNF-κB is able to recruit p300/CBP to chromatin and to increase H3K27ac.
“Moreover, NF-κB is able both to recruit p300/CBP to chromatin53 and to increase H3K27ac54, 55.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [53] Zhong, H., Voll, R. E. & Ghosh, S. Phosphorylation of NF-kappa B p65 by PKA stimulates transcriptional activity by promoting a novel bivalent interaction with the coactivator CBP/p300. Mol. Cell 1, 661–71 (1998). source
- cites [54] Jurida, L. et al. The activation of IL-1-induced enhancers depends on TAK1 kinase activity and NF-kappaB p65. Cell Rep. pii: S2211-1247(15)00002-9. doi:10.1016/j.celrep.2015.01.001 (2015). source
- cites [55] Brown, J. D. et al. NF-kappaB directs dynamic super enhancer formation in inflammation and atherogenesis. Mol. Cell 56, 219–31 (2014). source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThese observations are consistent with a reported role for NF-κB in modifying the enhancer landscape following stimuli.
“These observations are consistent with a reported role for NF-κB (a classic signal-activated TF) in modifying the enhancer landscape following stimuli54, 55.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [54] Jurida, L. et al. The activation of IL-1-induced enhancers depends on TAK1 kinase activity and NF-kappaB p65. Cell Rep. pii: S2211-1247(15)00002-9. doi:10.1016/j.celrep.2015.01.001 (2015). source
- cites [55] Brown, J. D. et al. NF-kappaB directs dynamic super enhancer formation in inflammation and atherogenesis. Mol. Cell 56, 219–31 (2014). source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationSome studies suggest cooperation between STAT3 and NF-κB, while others show antagonism.
“Some suggest cooperation between them, while others show antagonism2, 16–21.”
Quote in the paperSubstantial claim4 of 7 sources checked- cites [2] Bode, J. G., Albrecht, U., Haussinger, D., Heinrich, P. C. & Schaper, F. Hepatic acute phase proteins--regulation by IL-6- and IL-1-type cytokines involving STAT3 and its crosstalk with NF-kappaB-dependent signaling. Eur. J. Cell Biol. 91, 496–505 (2012). source
- cites [16] Yu, H., Pardoll, D. & Jove, R. STATs in cancer inflammation and immunity: a leading role for STAT3. Nat. Rev. Cancer 9, 798–809 (2009). source
- cites [17] Quinton, L. J. & Mizgerd, J. P. NF-kappaB and STAT3 signaling hubs for lung innate immunity. Cell Tissue Res. 343, 153–65 (2011). source
- cites [18] Yang, J. et al. Unphosphorylated STAT3 accumulates in response to IL-6 and activates transcription by binding to NFkappaB. Genes Dev. 21, 1396–408 (2007). source
- cites [19] Yu, Z., Zhang, W. & Kone, B. C. Signal transducers and activators of transcription 3 (STAT3) inhibits transcription of the inducible nitric oxide synthase gene by interacting with nuclear factor kappaB. Biochem. J. 367, 97–105 (2002). source
The introductory passage (page unavailable) says STAT proteins and NF-κB can act cooperatively, but does not establish cooperation specifically between STAT3 and NF-κB. The paper does show that STAT3 antagonizes NF-κB-dependent transcription in activated mesangial cells, supporting the antagonism part of the claim. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [20] Lee, H. et al. Persistently activated Stat3 maintains constitutive NF-kappaB activity in tumors. Cancer Cell 15, 283–93 (2009). source
- cites [21] Martincuks, A. et al. Nuclear translocation of STAT3 and NF-kappaB are independent of each other but NF-kappaB supports expression and activation of STAT3. Cell Signal. 32, 36–47 (2017). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPioneer factors were attributed with special properties that separated them functionally from the rest of TFs.
“However, these TFs (termed pioneer factors) were attributed with special properties that separated them functionally from the rest of TFs58.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [58] Zaret, K. S. & Carroll, J. S. Pioneer transcription factors: establishing competence for gene expression. Genes Dev. 25, 2227–2241 (2011). source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationown dataThe study sheds light on previously described immune-related transcriptional programs where assisted loading was not suggested but seems plausible in light of our findings.
“Our study also sheds light on previously described immune-related transcriptional programs where assisted loading was not suggested but seems plausible in light of our findings24, 56, 57.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [24] Bevington, S. L. et al. Inducible chromatin priming is associated with the establishment of immunological memory in T cells. EMBO. J. 35, 515–535 (2016). source
- cites [56] Ostuni, R. et al. Latent enhancers activated by stimulation in differentiated cells. Cell 152, 157–71 (2013). source
- cites [57] Qiao, Y. et al. Synergistic activation of inflammatory cytokine genes by interferon-gamma-induced chromatin remodeling and toll-like receptor signaling. Immunity 39, 454–69 (2013). source
Classified as probably not a substantial claim.
Study design and conductown dataDifferentially regulated H3K27ac or STAT3 sites were identified from three (H3K27ac) or two (STAT3) biological replicates using DESeq.
“Differentially regulated H3K27ac or STAT3 sites were identified from three (H3K27ac) or two (STAT3) biological replicates using DESeq65 in the default parameters through HOMER66 (http://homer.salk.edu/homer/).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [65] Anders, S. & Huber, W. Differential expression analysis for sequence count data. Genome Biol. 11, R106 (2010). source
- cites [66] Heinz, S. et al. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol. Cell 38, 576–589 (2010). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAssisted loading has been described in various systems.
“Assisted loading has been described in various systems30–37.”
Quote in the paperNot a substantial claim7 of 8 sources checked- cites [30] Biddie, S. C. et al. Transcription factor AP1 potentiates chromatin accessibility and glucocorticoid receptor binding. Mol. Cell 43, 145–155 (2011). source
- cites [31] Grontved, L. et al. C/EBP maintains chromatin accessibility in liver and facilitates glucocorticoid receptor recruitment to steroid response elements. EMBO J 32, 1568–1583 (2013). source
- cites [32] Miranda, T. B. et al. Reprogramming of the chromatin landscape: interplay of the estrogen and glucocorticoid receptors at the genomic level. Cancer Res. 73, 5130–5139 (2013). source
- cites [33] Madsen, M. S., Siersbaek, R., Boergesen, M., Nielsen, R. & Mandrup, S. Peroxisome proliferator-activated receptor gamma and C/EBPalpha synergistically activate key metabolic adipocyte genes by assisted loading. Mol. Cell. Biol. 34, 939–954 (2014). source
- cites [34] Soccio, R. E. et al. Genetic variation determines PPARgamma function and anti-diabetic drug response in vivo. Cell 162, 33–44 (2015). source
- cites [35] Swinstead, E. E. et al. Steroid receptors reprogram FoxA1 occupancy through dynamic chromatin transitions. Cell 165, 593–605 (2016). source
- cites [36] Zhu, B. et al. Coactivator-dependent oscillation of chromatin accessibility dictates circadian gene amplitude via REV-ERB loading. Mol. Cell 60, 769–83 (2015). source
- cites [37] Goldstein, I. et al. Transcription factor assisted loading and enhancer dynamics dictate the hepatic fasting response. Genome Res. 27, 427–439 (2017). source
May combine two claims.
Findingown dataIn the presence of IL-1β, NF-κB is activated, binds a subset of enhancers and primes their activity, as evidenced by increasing H3K27ac.
“In the presence of IL-1β, NF-κB is activated, binds a subset of enhancers and primes their activity, as evidenced by increasing H3K27ac.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUsing RNA-seq in primary hepatocytes, IL-1β and IL-6 regulate transcription in a bifurcated manner, leading to both synergistic and antagonistic gene expression.
“Using RNA-seq in primary hepatocytes, we show that these cytokines regulate transcription in a bifurcated manner, leading to both synergistic and antagonistic gene expression.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effect of TNF on gene expression was similar but much weaker than that of IL-1β.
“The effect of TNF on gene expression was similar but much weaker than that of IL-1β (Supplementary Fig. 2a, c).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhile IL-6 is sufficient to efficiently activate STAT3 at most sites, IL-1β is required for maximal STAT3 binding in 20% of sites, while reducing it at others.
“Taken together, these findings reveal that while IL-6 is sufficient to efficiently activate STAT3 at most sites, IL-1β is required for maximal STAT3 binding in 20% of sites, while reducing it at others.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe gene nearest to 63 assisted sites was a synergistic gene compared to only 2 additive genes.
“Reciprocally, the gene nearest to 63 assisted sites was a synergistic gene compared to only 2 additive genes (Supplementary Data 5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSynergistic gene expression was either completely abolished or severely diminished following two of the p300/CBP inhibitors used (SGC-CBP30 and C646); the third inhibitor (I-CBP112) diminished synergy in four out of six tested genes.
“Synergistic gene expression was either completely abolished or severely diminished following two of the p300/CBP inhibitors used (SGC-CBP30 and C646). The third inhibitor (I-CBP112) diminished synergy in four out of six tested genes (Fig. 4f, Supplementary Fig. 6).”
Quote in the paperSubstantial claim- Rests on an assumption: The p300/CBP inhibitors used (SGC-CBP30, C646, I-CBP112) specifically inhibit p300/CBP-mediated H3K27 acetylation without off-target effects that could affect synergistic gene expression.
May combine two claims.
Findingown dataWhen p300/CBP are inhibited, both H3K27 acetylation and STAT3 binding at the Saa1/2 enhancer are negated.
“However, when p300/CBP were inhibited, both H3K27 acetylation and STAT3 binding were negated (Fig. 7b).”
Quote in the paperSubstantial claim- Rests on an assumption: The data meet assumptions of population distribution.
- Rests on an assumption: Variance between the groups that are being statistically compared is similar.
May combine two claims.
Findingown dataSTAT3 binding is very low following IL-6 treatment and only reaches maximal binding in the dual treatment at assisted sites.
“(a) STAT3 binding is very low following IL-6 treatment and only reaches maximal binding in the dual treatment (in contrast to unassisted sites that follow the prevalent dogma, i.e. that IL-6 treatment is sufficient for maximal STAT3 binding).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBinding of cJun and CEBPB was similar throughout STAT3 binding sites (cJun binding was modestly increased in unassisted sites), while binding of the NF-κB subunit p65 was significantly enriched around assisted STAT3 sites compared to unassisted sites.
“In line with motif occurrence, binding of cJun and CEBPB was similar throughout STAT3 binding sites (cJun binding was modestly increased in unassisted sites). Conversely, the binding of the NF-κB subunit p65, was significantly enriched around assisted STAT3 sites compared to unassisted sites (Fig. 5b, c).”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataH3K27ac is low at the untreated condition and increases markedly following IL-1β treatment at assisted sites.
“(b) H3K27ac is low at the untreated condition and increases markedly following IL-1β treatment.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe combinatorial response of inflammatory cytokines is bifurcated, with some genes synergistically induced and others antagonized compared to single cytokine treatments.
“The combinatorial response of inflammatory cytokines is bifurcated, with some genes synergistically induced while others are antagonized compared to the single cytokine treatments.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the presence of dominant negative NF-κB, the IL-1β-dependent increase in H3K27ac at assisted enhancers is abolished, with H3K27ac remaining similar to untreated cells.
“Indeed, in the presence of dominant negative NF-κB, the priming effect IL-1β has on assisted enhancers was abolished, keeping H3K27ac at a level similar to that of non-treated cells (Fig. 7a).”
Quote in the paperSubstantial claim- Rests on an assumption: The data meet assumptions of population distribution.
- Rests on an assumption: Variance between the groups that are being statistically compared is similar.
May combine two claims.
Findingown dataIn control cells, STAT3 binding is assisted by IL-1β and is associated with a marked increase in H3K27ac.
“Indeed, in control cells, STAT3 binding was assisted by IL-1β and associated with a marked increase in H3K27ac.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIL-1β-induced enhancers were enriched for motifs bound by the CEBP, AP-1 and NF-κB TFs, while IL-6-induced enhancers were enriched for STAT3 and ATF3 motifs; the top four motifs enriched in dual-induced enhancers are bound by CEBP, AP-1, NF-κB and STAT3.
“IL-1β-induced enhancers were enriched for motifs bound by the CEBP, AP-1 and NF-κB TFs, while IL-6-induced enhancers were enriched for STAT3 and ATF3 motifs. The top four motifs enriched in dual-induced enhancers are bound by CEBP, AP-1, NF-κB and STAT3 (Supplementary Fig. 4d).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIL-1β does not lead to 'super' STAT3 binding at assisted sites; rather, IL-1β allows STAT3 binding at assisted sites to reach the level of unassisted sites.
“When examining the extent of STAT3 binding, we found that IL-1β does not lead to ‘super’ STAT3 binding at assisted sites. Rather, IL-1β allows STAT3 binding at assisted sites to reach the level of unassisted sites (Figs. 4b, c).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt unassisted sites, NF-κB does not enhance (and in some cases even perturbs) STAT3 binding.
“In contrast, at unassisted sites, NF-κB does not enhance (and in some cases even perturbs) STAT3 binding (Fig. 8).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data351 sites (20% of total STAT3 binding events) showed significantly increased STAT3 binding in the dual treatment compared to IL-6, while the majority of sites (80%, n = 1428) were unaffected, or even reduced by addition of IL-1β.
“When quantifying this phenomenon, we found 351 sites (20% of total STAT3 binding events) where STAT3 binding was significantly increased in the dual treatment compared to IL-6. In contrast, the majority of sites (80%, n = 1428) were unaffected, or even reduced by addition of IL-1β (Fig. 4a, Supplementary Data 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe induction of many genes induced in the individual treatments was negated in the dual treatment, and reciprocally, a significant portion of dual-induced genes was not induced in individual treatments.
“Notably, the induction of many genes induced in the individual treatments was negated in the dual treatment. Reciprocally, a significant portion of dual-induced genes was not induced in individual treatments (Fig. 1b, Supplementary Data 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThese TFs do not cooperate, and even antagonize each other's activity, in other enhancers and target genes.
“Conversely, these TFs do not cooperate, and even antagonize each other’s activity, in other enhancers and target genes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIL-6 induces the gene levels of STAT3 (3.3-fold), cJun (1.8-fold) and CEBPB (1.9-fold), while IL-1β induces the gene level of p65 (1.7-fold).
“Interestingly, IL-6 induces the gene levels of STAT3 (3.3-fold), cJun (the major subunit of AP-1, 1.8-fold) and CEBPB (1.9-fold) while IL-1β induces the gene level of p65 (the principal hepatic NF-κB subunit7, 1.7-fold, Supplementary Data 2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAcute phase signaling was the most enriched pathway in dual-induced genes (p-value = 1.11 × 10−24, Fisher's exact test) as well as in the sub-group of synergistic genes (p-value = 2.15 × 10−10, Fisher's exact test).
“Acute phase signaling was the most enriched pathway in dual-induced genes (p-value = 1.11 × 10−24 , Fisher’s exact test) as well as in the sub-group of synergistic genes (p-value = 2.15 × 10−10 Fisher’s exact test).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataK-means clustering of all differentially expressed genes revealed three patterns when comparing dual to single treatments: two antagonistic patterns wherein IL-1β and TNF reduced the expression of IL-6-induced genes, and reciprocally, one profile wherein IL-6 reduces the expression of IL-1β- and TNF-induced genes; in addition, a synergistic pattern in which the cytokines enhance each other's gene-
“With regards to gene induction, three patterns were observed when comparing the dual to single treatments: two ‘antagonistic’ patterns wherein IL-1β and TNF reduced the expression of IL-6-induced genes, and reciprocally, one profile wherein IL-6 reduces the expression of IL-1β- and TNF-induced genes. In addition, a synergistic pattern in which the cytokines enhance each other’s gene induction”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe level of STAT3 binding at unassisted sites was unaffected (and even sometimes increased) by DN-NFκB, suggesting a highly enhancer-specific augmenting effect of STAT3 binding by NF-κB.
“In stark contrast, the level of STAT3 binding at unassisted sites was unaffected (and even sometimes increased) by DN-NFκB, suggesting a highly enhancer-specific augmenting effect of STAT3 binding by NF-κB (Fig. 6c, d, Supplementary Fig. 8b, c).”
Quote in the paperSubstantial claim- Rests on an assumption: The dominant negative NF-κB peptide specifically inhibits NF-κB activity without affecting other pathways or STAT3 directly.
May combine two claims.
Findingown dataSynergistic gene induction was unaffected by perturbed CEBPB or AP-1, but was abolished following NF-κB inhibition.
“Synergistic gene induction was unaffected by perturbed CEBPB or AP-1, but was abolished following NF-κB inhibition (Fig. 6a, Supplementary Fig. 7a).”
Quote in the paperSubstantial claim- Rests on an assumption: The dominant negative NF-κB peptide specifically inhibits NF-κB activity without affecting other pathways or STAT3 directly.
May combine two claims.
Findingown dataSynergistic genes showed more RNAP II occupancy compared to the average occupancy of all dual-induced genes combined and compared to single treatments.
“Interestingly, synergistic genes showed more RNAP II occupancy compared to the average occupancy of all dual-induced genes combined and compared to single treatments (Fig. 2a, Supplementary Fig. 2e).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe CEBP and AP-1 motifs occurred at a similar frequency in assisted and unassisted sites, while the NF-κB motif was much more prevalent in assisted sites.
“While the CEBP and AP-1 motifs occurred at a similar frequency in assisted and unassisted sites, the NF-κB motif was much more prevalent in assisted sites (Fig. 5a).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe H3K27ac signal at unassisted sites was similar between the non-treated and IL-1β-treated conditions, while the H3K27ac signal at assisted sites only reached a level similar to unassisted sites following IL-1β treatment.
“The H3K27ac signal at unassisted sites was similar between the non-treated and IL-1β-treated conditions. However, the H3K27ac signal at assisted sites only reached a level similar to unassisted sites following IL-1β treatment (Figs. 3c, 4e, Supplementary Fig. 5b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIL-1β treatment did not lead to increases in the total gene or protein levels of STAT3 and did not increase the levels of STAT3 phosphorylation on Tyr705.
“This enhancer-specific, rather than systemic effect is supported by the finding that IL-1β treatment did not lead to increases in the total gene or protein levels of STAT3 and did not increase the levels of STAT3 phosphorylation on Tyr705, a modification correlated with activity (Supplementary Fig. 8d, Supplementary Data 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe rest of STAT3 binding sites are either unaffected or even suppressed by NF-κB.
“Conversely, the rest of STAT3 binding sites are either unaffected or even suppressed by NF-κB.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNeither STAT3 gene and protein expression, nor total chromatin-binding levels are affected by IL-1β in our system.
“Indeed, neither STAT3 gene and protein expression, nor total chromatin-binding levels are affected by IL-1β in our system.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIL-1β and IL-6 mediate the acute phase response (APR) and regulate the secretion of acute phase proteins in liver.
“The cytokines interleukin 1β and 6 (IL-1β, IL-6) mediate the acute phase response (APR). In liver, they regulate the secretion of acute phase proteins.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Gabay, C. & Kushner, I. Acute-phase proteins and other systemic responses to inflammation. N. Engl. J. Med. 340, 448–54 (1999). source
May combine two claims.
Interpretationown dataThis facilitates STAT3 binding and synergistic gene expression.
“This facilitates STAT3 binding and synergistic gene expression.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataNF-κB enables STAT3 binding at some enhancers while perturbing it at others.
“Our findings reveal an enhancer-specific crosstalk whereby NF-κB enables STAT3 binding at some enhancers while perturbing it at others.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese findings correlate NF-κB, but not CEBPB or AP-1, to assisted loading of STAT3.
“These findings correlate NF-κB, but not CEBPB or AP-1, to assisted loading of STAT3.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe enhancers where assisted sites reside are less active prior to IL-1β treatment, a condition unfavorable to STAT3 binding.
“These data imply that the enhancers where assisted sites reside are less active prior to IL-1β treatment, a condition unfavorable to STAT3 binding.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataUpon IL-1β stimulation, NF-κB is activated and binds enhancers near synergistic genes.
“Collectively, these observations support a model whereby upon IL-1β stimulation, NF-κB is activated and binds enhancers near synergistic genes.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningSTAT3 binding at assisted sites is perturbed in the lack of IL-1β due to diminished enhancer activity but is increased following enhancer activation by an IL-1β-activated TF, resulting in synergistic gene expression.
“Collectively, these findings support a scenario whereby STAT3 binding at assisted sites is perturbed in the lack of IL-1β due to diminished enhancer activity but is increased following enhancer activation by an IL-1β-activated TF, resulting in synergistic gene expression.”
Quote in the paperSubstantial claim- Rests on an assumption: IL-1β does not directly activate STAT3.
May combine two claims.
Interpretationown dataGenes induced following dual IL-1β + IL-6 treatment in primary mouse hepatocytes faithfully represent gene expression patterns seen in acute and chronic inflammation.
“We conclude that genes induced following dual IL-1β + IL-6 treatment in primary mouse hepatocytes faithfully represent gene expression patterns seen in acute and chronic inflammation.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThis enhancer-specific crosstalk between TFs reconciles the seemingly contradictory observations of pro-inflammatory TFs in liver and reveals the mode of action behind inflammatory gene regulation.
“This enhancer-specific crosstalk between TFs reconciles the seemingly contradictory observations of pro-inflammatory TFs in liver2 and reveals the mode of action behind inflammatory gene regulation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Bode, J. G., Albrecht, U., Haussinger, D., Heinrich, P. C. & Schaper, F. Hepatic acute phase proteins--regulation by IL-6- and IL-1-type cytokines involving STAT3 and its crosstalk with NF-kappaB-dependent signaling. Eur. J. Cell Biol. 91, 496–505 (2012). source
May combine two claims.
Interpretationown dataEnhancers harboring assisted sites are somewhat quiescent in the untreated condition and are 'primed' for STAT3 binding by IL-1β.
“Thus, enhancers harboring assisted sites are somewhat quiescent in the untreated condition and are ‘primed’ for STAT3 binding by IL-1β.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe primer used in this study could not differentiate between Saa1 and Saa2 due to their highly similar sequence.
“Due to the highly similar sequence of the Saa1 and Saa2 genes, the primer used in this study could not differentiate between them (and neither did any other primer we tested).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAssisted loading of STAT3 by NF-κB is at play during inflammation, allowing a bifurcated gene regulation program and a fine-tuned crosstalk between the two TFs.
“We suggest that assisted loading of STAT3 by NF-κB is at play during inflammation, allowing a bifurcated gene regulation program and a fine-tuned crosstalk between the two TFs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwo replicates were used for each treatment in RNA-seq.
“Two replicates were used for each treatment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll qPCR experiments were replicated at least three independent times.
“All qPCR experiments were replicated at least three independent times.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThis phenomenon resolves some of the confusion regarding the complex crosstalk between the two TFs and unfolds critical regulatory events in acute and chronic inflammation.
“This phenomenon resolves some of the confusion regarding the complex crosstalk between the two TFs and unfolds critical regulatory events in acute and chronic inflammation.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll RNA-seq and ChIP-seq p-values were adjusted for multiple comparisons.
“All RNA-seq and ChIP-seq p-values were adjusted for multiple comparisons.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe primers used in this study (except for Tbp) were designed to amplify nascent transcripts spanning exon-intron junctions as a proxy for transcription to avoid confounding post-transcriptional events.
“The primers used in this study (except for Tbp) were designed to amplify nascent transcripts (i.e., the amplified region span exon-intron junctions) as a proxy for transcription to avoid confounding post-transcriptional events.”
Quote in the paperSubstantial claim
The paper relies on this without support.
IL-1β does not directly activate STAT3.
“Because IL-1β does not directly activate STAT3 but is still essential for maximal STAT3 binding at a subset of sites, we termed these ‘assisted sites,’”
The paper relies on this without support.
The p300/CBP inhibitors used (SGC-CBP30, C646, I-CBP112) specifically inhibit p300/CBP-mediated H3K27 acetylation without off-target effects that could affect synergistic gene expression.
“To that end, we inhibited the two major enzymes catalyzing H3K27 acetylation, p300 and CREB binding protein (CBP).”
The paper relies on this without support.
The dominant negative NF-κB peptide specifically inhibits NF-κB activity without affecting other pathways or STAT3 directly.
“Next, we profiled STAT3 binding in the presence of a NF-κB dominant negative peptide (DN-NFκB).”
The paper relies on this without support.
The data meet assumptions of population distribution.
“The data meet assumptions of population distribution.”
The paper relies on this without support.
Variance between the groups that are being statistically compared is similar.
“Variance between the groups that are being statistically compared is similar.”
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?
In mouse fetal livers, STAT3 was not activated and canonical STAT3 target genes were not induced.
“Markedly, in mouse fetal livers, STAT3 was not activated (Figure S6D) and canonical STAT3 target genes 31,32 were not induced (Figure S6E).”
From Kupffer-cell-derived IL-6 is repurposed for hepatocyte dedifferentiation via activating progenitor genes from injury-specific enhancers (2023) · cites this paper as [32]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Different cutoffs are given for differential STAT3 binding sites
MajorThe Fig. 4 caption defines assisted STAT3 sites using a fold-change cutoff of 1.7 and p-value cutoff of 0.01. The Methods instead specify a fold-change cutoff of 2 and an adjusted p-value cutoff of 0.1 for differential STAT3 sites, leaving the criteria for this central group inconsistent.
“a significant (fold change ≥1.7, p-value ≤0.01, measured with DESeq) increase in binding was found in dual-treated cells compared to IL-6-treated cells (‘assisted sites’)”
“Differentially regulated H3K27ac or STAT3 sites were identified from three (H3K27ac) or two (STAT3) biological replicates using DESeq65 in the default parameters through HOMER66 (http://homer.salk.edu/homer/). Cutoffs: fold change ≥2, adjusted p-value ≤0.1, measured using DESeq (Supplementary Data 4).”
Non-treated STAT3 peak percentage does not match the stated total
MinorOf 2,975 peaks, 39 are 1.31%, which rounds to 1.3%, not the reported 1.2%.
Reported 1.2 · recomputed 1.310924
“From a total of 2,975 peaks, 1.2% peaks (n = 39) were called in non-treated cells”
Cites
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581 · see citing works
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556 · see citing works
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382 · see citing works
Acute-Phase Proteins and Other Systemic Responses to Inflammation
Gabay, C., & Kushner, I. (1999) · New England Journal of Medicine · doi:10.1056/nejm199902113400607 · Cited by 6,734 · see citing works
STATs in cancer inflammation and immunity: a leading role for STAT3
Yu, H., Pardoll, D., & Jove, R. (2009) · Nature reviews. Cancer · doi:10.1038/nrc2734 · Cited by 4,383 · see citing works
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302 · see citing works
Type 2 diabetes as an inflammatory disease
Donath, M. Y., & Shoelson, S. E. (2011) · Nature Reviews Immunology · doi:10.1038/nri2925 · Cited by 3,737 · see citing works
Differential analysis of gene regulation at transcript resolution with RNA-seq
Trapnell, C., Hendrickson, D. G., Sauvageau, M., Goff, L., Rinn, J. L., & Pachter, L. (2013) · Nature Biotechnology · doi:10.1038/nbt.2450 · Cited by 3,492 · see citing works
The accessible chromatin landscape of the human genome
Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., et al. (2012) · Nature · doi:10.1038/nature11232 · Cited by 2,679 · see citing works
Histone modifications at human enhancers reflect global cell-type-specific gene expression
Heintzman, N. D., Hon, G. C., Hawkins, R. D., Kheradpour, P., Stark, A., Harp, L. F., Ye, Z., Lee, L. K., Stuart, R. K., Ching, C. W., et al. (2009) · Nature · doi:10.1038/nature07829 · Cited by 2,533 · see citing works
Widespread transcription at neuronal activity-regulated enhancers
Kim, T.-K., Hemberg, M., Gray, J. M., Costa, A. M., Bear, D. M., Wu, J., Harmin, D. A., Laptewicz, M., Barbara-Haley, K., Kuersten, S., et al. (2010) · Nature · doi:10.1038/nature09033 · Cited by 2,450 · see citing works
A unique chromatin signature uncovers early developmental enhancers in humans
Rada-Iglesias, A., Bajpai, R., Swigut, T., Brugmann, S. A., Flynn, R. A., & Wysocka, J. (2011) · Nature · doi:10.1038/nature09692 · Cited by 2,233 · see citing works
Hilton, I. B., D’Ippolito, A. M., Vockley, C. M., Thakore, P. I., Crawford, G. E., Reddy, T. E., & Gersbach, C. A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3199 · Cited by 1,879 · see citing works
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
Transcriptional enhancers: from properties to genome-wide predictions
Shlyueva, D., Stampfel, G., & Stark, A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3682 · Cited by 1,356 · see citing works
NF-κB in the liver—linking injury, fibrosis and hepatocellular carcinoma
Luedde, T., & Schwabe, R. F. (2011) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2010.213 · Cited by 1,345 · see citing works
Zhong, H., Voll, R. E., & Ghosh, S. (1998) · Molecular Cell · doi:10.1016/s1097-2765(00)80066-0 · Cited by 1,210 · see citing works
A Large Fraction of Extragenic RNA Pol II Transcription Sites Overlap Enhancers
De Santa, F., Barozzi, I., Mietton, F., Ghisletti, S., Polletti, S., Tusi, B. K., Muller, H., Ragoussis, J., Wei, C.-L., & Natoli, G. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000384 · Cited by 934 · see citing works
IL-6 pathway in the liver: From physiopathology to therapy
Schmidt-Arras, D., & Rose-John, S. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.02.004 · Cited by 881 · see citing works
Latent Enhancers Activated by Stimulation in Differentiated Cells
Ostuni, R., Piccolo, V., Barozzi, I., Polletti, S., Termanini, A., Bonifacio, S., Curina, A., Prosperini, E., Ghisletti, S., & Natoli, G. (2013) · Cell · doi:10.1016/j.cell.2012.12.018 · Cited by 867 · see citing works
Systems biology approaches identify ATF3 as a negative regulator of Toll-like receptor 4
Gilchrist, M., Thórsson, V., Li, B., Rust, A. G., Korb, M., Kennedy, K., Hai, T., Bolouri, H., & Aderem, A. A. (2006) · Nature · doi:10.1038/nature04768 · Cited by 796 · see citing works
Persistently Activated Stat3 Maintains Constitutive NF-κB Activity in Tumors
Lee, H., Herrmann, A., Deng, J.-H., Kujawski, M., Niu, G., Li, Z., Forman, S., Jove, R., Pardoll, D. M., & Yu, H. (2009) · Cancer Cell · doi:10.1016/j.ccr.2009.02.015 · Cited by 683 · see citing works
NF-κB Directs Dynamic Super Enhancer Formation in Inflammation and Atherogenesis
Brown, J. D., Lin, C. Y., Duan, Q., Griffin, G., Federation, A. J., Paranal, R. M., Bair, S., Newton, G., Lichtman, A. H., Kung, A. L., et al. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.08.024 · Cited by 614 · see citing works
Yang, J., Liao, X., Agarwal, M. K., Barnes, L., Auron, P. E., & Stark, G. R. (2007) · Genes & Development · doi:10.1101/gad.1553707 · Cited by 611 · see citing works
Rivera, C. M., & Ren, B. (2013) · Cell · doi:10.1016/j.cell.2013.09.011 · Cited by 550 · see citing works
Dynamic regulation of transcriptional states by chromatin and transcription factors
Voss, T. C., & Hager, G. L. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3623 · Cited by 504 · see citing works
Self-citationTranscription Factor AP1 Potentiates Chromatin Accessibility and Glucocorticoid Receptor Binding
Biddie, S. C., John, S., Sabo, P. J., Thurman, R. E., Johnson, T. A., Schiltz, R. L., Miranda, T. B., Sung, M.-H., Trump, S., Lightman, S. L., et al. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.06.016 · Cited by 503 · see citing works
Self-citationHepatocytes: a key cell type for innate immunity
Zhou, Z., Xu, M.-J., & Gao, B. (2016) · Cellular & Molecular Immunology · doi:10.1038/cmi.2015.97 · Cited by 472 · see citing works
Bode, J. G., Albrecht, U., Häussinger, D., Heinrich, P. C., & Schaper, F. (2012) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2011.09.008 · Cited by 379 · see citing works
Sander, L. E., Sackett, S. D., Dierssen, U., Beraza, N., LINKE, R. P., Müller, M. M., Blander, J. M., Tacke, F., & Trautwein, C. (2010) · The Journal of Experimental Medicine · doi:10.1084/jem.20091474 · Cited by 337 · see citing works
Qiao, Y., Giannopoulou, E. G., Chan, C. H., Park, S.-H., Gong, S., Chen, J., Hu, X., Elemento, O., & Ivashkiv, L. B. (2013) · Immunity · doi:10.1016/j.immuni.2013.08.009 · Cited by 330 · see citing works
Initiation of acute phase response and synthesis of cytokines
Koj, A. (1996) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/s0925-4439(96)00048-8 · Cited by 330 · see citing works
Alonzi, T., Maritano, D., Gorgoni, B., Rizzuto, G., Libert, C., & Poli, V. (2001) · Molecular and Cellular Biology · doi:10.1128/mcb.21.5.1621-1632.2001 · Cited by 329 · see citing works
Selective Transcription in Response to an Inflammatory Stimulus
Smale, S. T. (2010) · Cell · doi:10.1016/j.cell.2010.01.037 · Cited by 318 · see citing works
Steroid Receptors Reprogram FoxA1 Occupancy through Dynamic Chromatin Transitions
Swinstead, E. E., Miranda, T. B., Paakinaho, V., Baek, S., Goldstein, I., Hawkins, M., Karpova, T. S., Ball, D., Mazza, D., Lavis, L. D., et al. (2016) · Cell · doi:10.1016/j.cell.2016.02.067 · Cited by 312 · see citing works
Self-citationVoss, T. C., Schiltz, R. L., Sung, M.-H., Yen, P. M., Stamatoyannopoulos, J. A., Biddie, S. C., Johnson, T. A., Miranda, T. B., John, S., & Hager, G. L. (2011) · Cell · doi:10.1016/j.cell.2011.07.006 · Cited by 307 · see citing works
Self-citationIsolation and Culture of Adult Mouse Hepatocytes
Li, W., Ralphs, K. L., & Tosh, D. (2010) · Methods in molecular biology · doi:10.1007/978-1-59745-019-5_13 · Cited by 303 · see citing works
Regulation of RNA polymerase II activation by histone acetylation in single living cells
Stasevich, T. J., Hayashi‐Takanaka, Y., Sato, Y., Maehara, K., Ohkawa, Y., Sakata-Sogawa, K., Tokunaga, M., Nagase, T., Nozaki, N., McNally, J. G., et al. (2014) · Nature · doi:10.1038/nature13714 · Cited by 287 · see citing works
Madsen, M. S., Siersbæk, R., Boergesen, M., Nielsen, R., & Mandrup, S. (2014) · Molecular and Cellular Biology · doi:10.1128/mcb.01344-13 · Cited by 272 · see citing works
King, H. W., & Klose, R. J. (2017) · eLife · doi:10.7554/elife.22631 · Cited by 270 · see citing works
Lineage-specific enhancers activate self-renewal genes in macrophages and embryonic stem cells
Soucie, E. L., Weng, Z., Geirsdóttir, L., Molawi, K., Maurizio, J., Fenouil, R., Mossadegh-Keller, N., Gimenez, G., VanHille, L., Beniazza, M., et al. (2016) · Science · doi:10.1126/science.aad5510 · Cited by 263 · see citing works
YU, Z., ZHANG, W., & KONE, B. C. (2002) · Biochemical Journal · doi:10.1042/bj20020588 · Cited by 255 · see citing works
Grøntved, L., John, S., Baek, S., Liu, Y., Buckley, J. R., Vinson, C., Aguilera, G., & Hager, G. L. (2013) · The EMBO Journal · doi:10.1038/emboj.2013.106 · Cited by 229 · see citing works
Self-citationEndogenous intrahepatic IFNs and association with IFN-free HCV treatment outcome
Meissner, E. G., Wu, D., Osinusi, A. O., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci75938 · Cited by 201 · see citing works
Kim, J., Kwak, H. J., Cha, J.-Y., Jeong, Y.-S., Rhee, S. D., Kim, K. R., & Cheon, H. G. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.577908 · Cited by 192 · see citing works
Suppression of the SWI/SNF Component Arid1a Promotes Mammalian Regeneration
Sun, X., Chuang, J.-C., Kanchwala, M., Wu, L., Celen, C., Li, L., Liang, H., Zhang, S., Maples, T., Nguyen, L. H., et al. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.03.001 · Cited by 161 · see citing works
Cohesin regulates tissue-specific expression by stabilizing highly occupied cis -regulatory modulesPreprint
Faure, A. J., Schmidt, D., Watt, S., Schwalie, P. C., Wilson, M. D., Xu, H., Ramsay, R. G., Odom, D. T., & Flicek, P. (2012) · Genome Research · doi:10.1101/gr.136507.111 · Cited by 149 · see citing works
Role of interleukins in obesity: implications for metabolic disease
Febbraio, M. A. (2014) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2014.02.004 · Cited by 130 · see citing works
Miranda, T. B., Voss, T. C., Sung, M.-H., Baek, S., John, S., Hawkins, M., Grøntved, L., Schiltz, R. L., & Hager, G. L. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-0742 · Cited by 130 · see citing works
Self-citationTranscription factor assisted loading and enhancer dynamics dictate the hepatic fasting response
Goldstein, I., Baek, S., Presman, D. M., Paakinaho, V., Swinstead, E. E., & Hager, G. L. (2017) · Genome Research · doi:10.1101/gr.212175.116 · Cited by 121 · see citing works
Self-citationGenetic Variation Determines PPARγ Function and Anti-diabetic Drug Response In Vivo
Soccio, R. E., Chen, E. R., Rajapurkar, S. R., Safabakhsh, P., Marinis, J. M., Dispirito, J. R., Emmett, M. J., Briggs, E. R., Fang, B., Everett, L. J., et al. (2015) · Cell · doi:10.1016/j.cell.2015.06.025 · Cited by 117 · see citing works
Transcriptional Control of Inflammatory ResponsesPreprint
Smale, S. T., & Natoli, G. (2014) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a016261 · Cited by 110 · see citing works
Inducible chromatin priming is associated with the establishment of immunological memory in T cells
Bevington, S. L., Cauchy, P., Piper, J., Bertrand, E., Lalli, N., Jarvis, R. C., Gilding, L. N., Ott, S., Bonifer, C., & Cockerill, P. N. (2016) · The EMBO Journal · doi:10.15252/embj.201592534 · Cited by 110 · see citing works
Swinstead, E. E., Paakinaho, V., Presman, D. M., & Hager, G. L. (2016) · BioEssays · doi:10.1002/bies.201600137 · Cited by 100 · see citing works
Self-citationMetabolic nuclear receptor signaling and the inflammatory acute phase response
Venteclef, N., Jakobsson, T., Steffensen, K. R., & Treuter, E. (2011) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2011.04.004 · Cited by 99 · see citing works
Ruminy, P., Gangneux, C., Claeyssens, S., Scotté, M., Daveau, M., & Salier, J. (2001) · Inflammation Research · doi:10.1007/pl00000260 · Cited by 97 · see citing works
Hepatocytes as Immunological Agents
Crispe, I. N. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1501668 · Cited by 97 · see citing works
Frades, I., Andréasson, E., Mato, J. M., Alexandersson, E., Matthiesen, R., & Martínez‐Chantar, M. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124544 · Cited by 86 · see citing works
Hepatocyte-specific mutation of both NF-κB RelA and STAT3 abrogates the acute phase response in mice
Quinton, L. J., Blahna, M. T., Jones, M. R., Allen, E., Ferrari, J. D., Hilliard, K. L., Zhang, X., Sabharwal, V., Algül, H., Akira, S., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59408 · Cited by 84 · see citing works
Zhu, B., Gates, L. A., Stashi, E., Dasgupta, S., Gonzales, N., Dean, A., Dacso, C. C., York, B., & O’Malley, B. W. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.10.024 · Cited by 75 · see citing works
Sakamori, R., Takehara, T., Ohnishi, C., Tatsumi, T., Ohkawa, K., Takeda, K., Akira, S., & Hayashi, N. (2007) · Hepatology · doi:10.1002/hep.21837 · Cited by 71 · see citing works
Mechanisms of the Hepatic Acute-Phase Response during Bacterial Pneumonia
Quinton, L., Jones, M. R., Robson, B. E., & Mizgerd, J. (2009) · Infection and Immunity · doi:10.1128/iai.01300-08 · Cited by 71 · see citing works
NF-κB and STAT3 signaling hubs for lung innate immunity
Quinton, L. J., & Mizgerd, J. P. (2011) · Cell and Tissue Research · doi:10.1007/s00441-010-1044-y · Cited by 65 · see citing works
The Activation of IL-1-Induced Enhancers Depends on TAK1 Kinase Activity and NF-κB p65
Jurida, L., Soelch, J., Bartkuhn, M., Handschick, K., Müller, H., Newel, D., Weber, A., Dittrich-Breiholz, O., Schneider, H., Bhuju, S., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.01.001 · Cited by 51 · see citing works
Antonelli, A., Ferri, C., Ferrari, S. M., et al. (2009) · Arthritis & Rheumatism · doi:10.1002/art.25003 · Cited by 46 · see citing works
Martincuks, A., Andryka, K., Küster, A., Schmitz-Van de Leur, H., Komorowski, M., & Müller-Newen, G. (2017) · Cellular Signalling · doi:10.1016/j.cellsig.2017.01.006 · Cited by 45 · see citing works
Proteomic and genomic studies of non-alcoholic fatty liver disease - clues in the pathogenesis
Lim, J. W. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i26.8325 · Cited by 40 · see citing works
Herrema, H., Derks, T. G. J., van Dijk, T. H., Bloks, V. W., Gerding, A., Havinga, R., Tietge, U. J. F., Müller, M. M., Smit, P. G. A., Kuipers, F., et al. (2008) · Hepatology · doi:10.1002/hep.22284 · Cited by 38 · see citing works
Dynamic enhancer function in the chromatin context
Goldstein, I., & Hager, G. L. (2018) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1390 · Cited by 25 · see citing works
Self-citationChromatin structure and gene regulation: a dynamic view of enhancer function
Stavreva, D. A., & Hager, G. L. (2015) · Nucleus · doi:10.1080/19491034.2015.1107689 · Cited by 24 · see citing works
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Protocol for Primary Mouse Hepatocyte Isolation
Charni‐Natan, M., & Goldstein, I. (2020) · STAR Protocols · doi:10.1016/j.xpro.2020.100086 · Cited by 431 · see citing works
Self-citationLi, L., Cui, L., Lin, P., Liu, Z., Bao, S., Ma, X., Nan, H., Zhu, W., Cen, J., Mao, Y., et al. (2023) · Cell Stem Cell · doi:10.1016/j.stem.2023.01.009 · Cited by 134 · see citing works
Super enhancer regulation of cytokine-induced chemokine production in alcoholic hepatitis
Liu, M., Cao, S., He, L., Gao, J., Arab, J. P., Cui, H., Xuan, W., Gao, Y., Sehrawat, T. S., Hamdan, F. H., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24843-w · Cited by 120 · see citing works
STAT3 and STAT5 Activation in Solid Cancers
Igelmann, S., Neubauer, H. A., & Ferbeyre, G. (2019) · Cancers · doi:10.3390/cancers11101428 · Cited by 120 · see citing works
Acute-phase protein synthesis: a key feature of innate immune functions of the liver
Ehlting, C., Wolf, S. D., & Bode, J. G. (2021) · Biological Chemistry · doi:10.1515/hsz-2021-0209 · Cited by 115 · see citing works
Friman, E. T., Deluz, C., Meireles-Filho, A. C. A., Govindan, S., Gardeux, V., Deplancke, B., & Suter, D. M. (2019) · eLife · doi:10.7554/elife.50087 · Cited by 92 · see citing works
Regulators of hepcidin expression
Roth, M., Meynard, D., & Coppin, H. (2019) · Vitamins and hormones · doi:10.1016/bs.vh.2019.01.005 · Cited by 84 · see citing works
Gupta, S., Jain, A., Syed, S. N., Snodgrass, R. G., Pflüger‐Müller, B., Leisegang, M. S., Weigert, A., Brandes, R. P., Ebersberger, I., Brüne, B., et al. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1494110 · Cited by 59 · see citing works
Genome-wide crosstalk between steroid receptors in breast and prostate cancers
Paakinaho, V., & Palvimo, J. J. (2021) · Endocrine Related Cancer · doi:10.1530/erc-21-0038 · Cited by 55 · see citing works
Self-citationTranscriptional outcomes and kinetic patterning of gene expression in response to NF-κB activation
Zhao, M., Joy, J. P., Zhou, W., De, S., Wood, W. H., Becker, K. G., Ji, H., & Sen, R. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2006347 · Cited by 48 · see citing works
Liu, B., Yan, W., Luo, L., et al. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-01119-5 · Cited by 47 · see citing works
Feng, Y., Li, W., Wang, Z., Zhang, R., Li, Y., Zang, L., Wang, P., Li, Z., & Dong, Y. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03692-1 · Cited by 47 · see citing works
Palmitoylation licenses RIPK1 kinase activity and cytotoxicity in the TNF pathway
Zhang, N., Liu, J., Guo, R., Yan, L., Yang, Y., Chen, S., Zhang, M., Shan, B., Li, W., Gu, J., et al. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.10.002 · Cited by 48 · see citing works
Structures and consequences of pioneer factor binding to nucleosomes
Luzete-Monteiro, E., & Zaret, K. S. (2022) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2022.102425 · Cited by 44 · see citing works
Inflammation and tissue homeostasis: the NF-κB system in physiology and malignant progression
Lambrou, G. Ι., Hatziagapiou, K., & Vlahopoulos, S. (2020) · Molecular Biology Reports · doi:10.1007/s11033-020-05410-w · Cited by 42 · see citing works
Kels, M. J. T., Ng, E., Rumaih, Z. A., Pandey, P., Ruuls, S. R., Körner, H., Newsome, T. P., Chaudhri, G., & Karupiah, G. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004615117 · Cited by 40 · see citing works
Wang, Z., Li, K., Chen, W., Wang, X., Huang, Y., Wang, W., Wu, W., Cai, Z., & Huang, W. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03362-4 · Cited by 40 · see citing works
Fasting Hormones Synergistically Induce Amino Acid Catabolism Genes to Promote Gluconeogenesis
Korenfeld, N., Finkel, M., Buchshtab, N., Bar‐Shimon, M., Charni‐Natan, M., & Goldstein, I. (2021) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2021.04.017 · Cited by 37 · see citing works
Self-citationZhu, Y. F., Jiang, P., Luo, B., Lan, F., He, J. H., & Wu, Y. (2019) · Nanoscale · doi:10.1039/c8nr08614a · Cited by 38 · see citing works
Vagal blockade of the brain-liver axis deters cancer-associated cachexia
Garrett, A., Darzi, N., Deshmukh, A., Rosenfeld, N., Goldman, O., Adler, L. N., Bab-Dinitz, E., Singer, O., Najafabadi, A. H., Wong, C. W., et al. (2025) · Cell · doi:10.1016/j.cell.2025.07.016 · Cited by 39 · see citing works
Induction of Innate Immune Response by TLR3 Agonist Protects Mice against SARS-CoV-2 Infection
Tamir, H., Melamed, S., Noam Erez, A., Politi, B., Yahalom-Ronen, Y., Achdout, H., Lazar, S., Gutman, H., Avraham, R., Weiss, S., et al. (2022) · Viruses · doi:10.3390/v14020189 · Cited by 37 · see citing works
High Quality ATAC-Seq Data Recovered from Cryopreserved Breast Cell Lines and Tissue
Fujiwara, S., Baek, S., Varticovski, L., Kim, S., & Hager, G. L. (2019) · Scientific Reports · doi:10.1038/s41598-018-36927-7 · Cited by 33 · see citing works
Self-citationTargeting tumour necrosis factor to ameliorate viral pneumonia
Pandey, P., & Karupiah, G. (2021) · FEBS Journal · doi:10.1111/febs.15782 · Cited by 30 · see citing works
Downregulation 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
Sanford, E. M., Emert, B. L., Coté, A., & Raj, A. (2020) · eLife · doi:10.7554/elife.59388 · Cited by 25 · see citing works
Chronic inflammatory arthritis drives systemic changes in circadian energy metabolism
Downton, P. J., Sanna, F., Maidstone, R. J., Poolman, T. M., Hayter, E. A., Dickson, S. H., Ciccone, N. A., Early, J. O., Adamson, A. D., Spiller, D. G., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2112781119 · Cited by 29 · see citing works
Martinez-Corral, R., Park, M., Biette, K. M., Friedrich, D., Scholes, C., Khalil, A. S., Gunawardena, J., & DePace, A. H. (2023) · Cell Systems · doi:10.1016/j.cels.2023.02.003 · Cited by 29 · see citing works
IL-6 as a Mediator of Platelet Hyper-Responsiveness
Webb, C. E., Vautrinot, J., & Hers, I. (2025) · Cells · doi:10.3390/cells14110766 · Cited by 31 · see citing works
The transcriptional regulation of normal and malignant blood cell development
Edginton‐White, B., & Bonifer, C. (2021) · FEBS Journal · doi:10.1111/febs.15735 · Cited by 25 · see citing works
Weiterer, S., Meier‐Soelch, J., Georgomanolis, T., Mizi, A., Beyerlein, A., Weiser, H., Brant, L., Mayr‐Buro, C., Jurida, L., Beuerlein, K., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2019101533 · Cited by 26 · see citing works
Liu, X., Chen, J. G., Munshi, M. N., Hunter, Z. R., Xu, L., Kofides, A., Tsakmaklis, N., Demos, M. G., Guerrera, M. L., Chan, G., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2019000947 · Cited by 25 · see citing works
Schumacher, N., Yan, K., Gandraß, M., Müller, M., Krisp, C., Häsler, R., Carambia, A., Nofer, J.-R., Bernardes, J. P., Khouja, M., et al. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2020.09.021 · Cited by 24 · see citing works
Chromatin reprogramming in breast cancer
Swinstead, E. E., Paakinaho, V., & Hager, G. L. (2018) · Endocrine Related Cancer · doi:10.1530/erc-18-0033 · Cited by 23 · see citing works
Self-citationRumaih, Z. A., Kels, M. J. T., Ng, E., Pandey, P., Pontejo, S. M., Alejo, A., Alcamı́, A., Chaudhri, G., & Karupiah, G. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004688117 · Cited by 21 · see citing works
Synergistic Targeting of DNA-PK and KIT Signaling Pathways in KIT Mutant Acute Myeloid Leukemia
Murray, H. C., Miller, K., Brzozowski, J. S., Kahl, R. G. S., Smith, N. D., Humphrey, S. J., Dun, M. D., & Verrills, N. M. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100503 · Cited by 19 · see citing works
Analysis framework and experimental design for evaluating synergy-driving gene expression
Schrode, N., Seah, C., Deans, P. J. M., Hoffman, G. E., & Brennand, K. (2021) · Nature Protocols · doi:10.1038/s41596-020-00436-7 · Cited by 19 · see citing works
Mechanisms encoding STAT functional diversity for context-specific inflammatory responses
Myers, S. A., & Gottschalk, R. A. (2022) · Current Opinion in Immunology · doi:10.1016/j.coi.2022.01.001 · Cited by 20 · see citing works
Goldberg, D. T., Charni‐Natan, M., Buchshtab, N., Bar‐Shimon, M., & Goldstein, I. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac358 · Cited by 20 · see citing works
Self-citationGlucocorticoid receptor action in prostate cancer: the role of transcription factor crosstalk
Hiltunen, J., Helminen, L., & Paakinaho, V. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1437179 · Cited by 18 · see citing works
Self-citationA critical role for HNF4α in polymicrobial sepsis-associated metabolic reprogramming and death
Dender, C. V., Timmermans, S., Paakinaho, V., Vanderhaeghen, T., Vandewalle, J., Claes, M., Garcia, B., Roman, B. I., Waele, J. J. D., Croubels, S., et al. (2024) · EMBO Molecular Medicine · doi:10.1038/s44321-024-00130-1 · Cited by 18 · see citing works
Self-citationIdentification of a cytokine combination that protects insects from stress
Matsumura, T., Nakano, F., Matsumoto, H., Uryu, O., & Hayakawa, Y. (2018) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2018.04.002 · Cited by 17 · see citing works
OBIF: an omics-based interaction framework to reveal molecular drivers of synergy
García, J. P., Kulkarni, V. V., Reese, T. C., Wali, S., Wase, S. J., Zhang, J., Singh, R., Caetano, M. S., Kadara, H. N., Moghaddam, S. J., et al. (2022) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqac028 · Cited by 17 · see citing works
Functional Multiplicity of an Insect Cytokine Family Assists Defense Against Environmental Stress
Shears, S. B., & Hayakawa, Y. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00222 · Cited by 16 · see citing works
Toxicodynamic of combined mycotoxins: MicroRNAs and acute‐phase proteins as diagnostic biomarkers
Murtaza, B., Li, X., Nawaz, M. Y., Saleemi, M. K., Li, G., Jin, B., Wang, L., & Xu, Y. (2024) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.13338 · Cited by 16 · see citing works
Wasiak, S., Gilham, D., Daze, E., Tsujikawa, L. M., Halliday, C., Stotz, S. C., Rakai, B. D., Fu, L., Jahagirdar, R., Sweeney, M., et al. (2020) · Cardiovascular Therapeutics · doi:10.1155/2020/9397109 · Cited by 15 · see citing works
Li, X., Liu, J., Xing, Z., Tang, J., Sun, H., Zhang, X., Lv, S., Chen, Z., Shi, M., Chen, M., et al. (2021) · Journal of Leukocyte Biology · doi:10.1002/jlb.3ma0821-029r · Cited by 14 · see citing works
Integrated liver-secreted and plasma proteomics identify a predictive model that stratifies MASH
Nardo, W. D., Lee, O., Johari, Y., Bayliss, J. A., Pensa, M., Miotto, P. M., Keenan, S. N., Ryan, A., Rucinski, A., Svinos, T. M., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102085 · Cited by 15 · see citing works
Burger, K., Jung, F., Staufer, K., Ladurner, R., Trauner, M. A., Baumann, A., Brandt, A., & Bergheim, I. (2024) · Redox Biology · doi:10.1016/j.redox.2024.103121 · Cited by 13 · see citing works
The Protective Role of IL-36/IL-36R Signal in Con A–Induced Acute Hepatitis
Wang, X., Liang, Y., Wang, H., et al. (2022) · The Journal of Immunology · doi:10.4049/jimmunol.2100481 · Cited by 13 · see citing works
Matsukawa, S., Kai, S., Seo, H., Suzuki, K., & Fukuda, K. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251921 · Cited by 12 · see citing works
von Stromberg, K., Seddar, L., Ip, W.-H., Günther, T., Gornott, B., Weinert, S.-C., Hüppner, M., Bertzbach, L. D., & Dobner, T. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2310770120 · Cited by 12 · see citing works
Mechanism and Effect of HNF4α Decrease in a Rat Model of Cirrhosis and Liver Failure
Melis, M., Marino, R. B., Tian, J., Johnson, C., Sethi, R., Oertel, M., Fox, I. J., & Locker, J. D. (2023) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2023.11.009 · Cited by 12 · see citing works
Hiltunen, J., Helminen, L., Aaltonen, N., Launonen, K., Laakso, H., Malinen, M., Niskanen, E. A., Palvimo, J. J., & Paakinaho, V. (2025) · Genome Research · doi:10.1101/gr.280224.124 · Cited by 10 · see citing works
Self-citationLiu, J.-P. (2024) · American Journal of Cancer Research · doi:10.62347/lodv2387 · Cited by 9 · see citing works
Wahid, M. E. A., Noruddin, N. A. A., & Muhammad, T. S. T. (2020) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2020.110702 · Cited by 9 · see citing works
Identification of Interleukin1β as an Amplifier of Interferon alpha-induced Antiviral Responses
Robichon, K., Maiwald, T., Schilling, M., Schneider, A., Willemsen, J., Salopiata, F., Teusel, M., Salopiata, Kreutz, C., Ehlting, C., et al. (2020) · PLoS Pathogens · doi:10.1371/journal.ppat.1008461 · Cited by 9 · see citing works
McCarthy, W. C., Sherlock, L. G., Grayck, M. R., Zheng, L., Lacayo, O. A., Solar, M., Orlicky, D. J., Dobrinskikh, E., & Wright, C. J. (2023) · The Journal of Immunology · doi:10.4049/jimmunol.2200900 · Cited by 9 · see citing works
Contradictory Role of Gadd45β in Liver Diseases
Wu, C., Song, X., Zhang, M., Yang, L., Lu, P., Ding, Q., & Liu, M. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.70267 · Cited by 9 · see citing works
Goldberg, D. T., Buchshtab, N., Charni‐Natan, M., & Goldstein, I. (2024) · Liver International · doi:10.1111/liv.16077 · Cited by 7 · see citing works
Self-citationLinking signal input, cell state, and spatial context to inflammatory responses
Gottschalk, R. A., & Germain, R. N. (2024) · Current Opinion in Immunology · doi:10.1016/j.coi.2024.102462 · Cited by 9 · see citing works
Bonitz, K., Colucci, S., Qiu, R., Altamura, S., Sparla, R., Müdder, K., Zimmermann, S., Hentze, M. W., Muckenthaler, M. U., & Marques, O. (2025) · HemaSphere · doi:10.1002/hem3.70096 · Cited by 7 · see citing works
Kels, M. J. T., Ng, E., Rumaih, Z. A., Pandey, P., Ruuls, S. R., Körner, H., Newsome, T. P., Chaudhri, G., & Karupiah, G. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.22.883728 · Cited by 7 · see citing works
Ono, M., Matsumura, T., Sung, E. J., et al. (2024) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2024.104086 · Cited by 6 · see citing works
Altered hepatic metabolic landscape and insulin sensitivity in response to pulmonary tuberculosis
Das, M., Savidge, B. O., Pearl, J. E., Yates, T. E., Miles, G. J., Pareek, M., Haldar, P., & Cooper, A. M. (2024) · PLoS Pathogens · doi:10.1371/journal.ppat.1012565 · Cited by 6 · see citing works
Sun, G., Zhao, C., Han, J., Wu, S., Chen, Y., Yao, J., & Li, L. (2024) · Cellular Oncology · doi:10.1007/s13402-024-01011-y · Cited by 5 · see citing works
Gadd45 in the Liver: Signal Transduction and Transcriptional Mechanisms
Tian, J., & Locker, J. D. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-94804-7_6 · Cited by 5 · see citing works
Bracken, R. C., Davison, L. M., Buehler, D. P., Fulton, M. E., Carson, E. E., Sheng, Q., Stolze, L. K., Guillermier, C., Steinhauser, M. L., & Brown, J. D. (2024) · iScience · doi:10.1016/j.isci.2024.110011 · Cited by 4 · see citing works
Chromatin Regulation and Transcription Factor Cooperation in Liver Cells
Goldstein, I. (2020) · Wiley eBooks · doi:10.1002/9781119436812.ch81 · Cited by 4 · see citing works
Self-citationMartinez-Corral, R., Park, M., Biette, K. M., Friedrich, D., Scholes, C., Khalil, A. S., Gunawardena, J., & DePace, A. H. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3985163 · Cited by 4 · see citing works
Endocrine regulation of the hepatic fasting response: cues, cooperation and consequences
Goldberg, D. T., & Goldstein, I. (2026) · Nature Reviews Endocrinology · doi:10.1038/s41574-025-01228-3 · Cited by 7 · see citing works
Self-citationGSK3β/NF-κB -dependent transcriptional regulation of homeostatic hepatocyte Tnf production
Grayck, M. R., McCarthy, W. C., Solar, M., Golden, E., Balasubramaniyan, N., Zheng, L., Sherlock, L. G., & Wright, C. J. (2024) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00229.2023 · Cited by 3 · see citing works
Ypel5 regulates liver development and function in zebrafish
Deng, Y., Han, X. J., Chen, H., Zhao, C., Chen, Y., Zhou, J., de Thé, H., Zhu, J., & Yuan, H. (2023) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjad019 · Cited by 3 · see citing works
Khatun, M. R., & Arifuzzaman, S. (2019) · Inflammopharmacology · doi:10.1007/s10787-019-00610-8 · Cited by 2 · see citing works
RetractedEpigenetic Regulation of Inflammatory NF-κB Target Genes by IFN-γ via IRF1Preprint
Mishra, B., Wingert, C. K., Bachu, M., & Ivashkiv, L. B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.26.625557 · Cited by 2 · see citing works
Hypoxia Exacerbates Inflammatory Signaling in Human Coronavirus OC43-Infected Lung Epithelial Cells
Zvartau-Hind, J., Sadozai, H., Kayani, H. Z., et al. (2025) · Biomolecules · doi:10.3390/biom15081144 · Cited by 1 · see citing works
The role of pyroptosis during HIV infection
Yaseen, M. M., Abuharfeil, N. M., Darmani, H., & Shatnawi, M. (2026) · Inflammation Research · doi:10.1007/s00011-025-02164-8 · Cited by 1 · see citing works
García, J. P., Bhoda, K., Burch-Eapen, M., Becerra, R. A., Carstens, P. R., López, D. C., Lizaola, J. F., Kulkarni, V. V., Martinez, J., Wang, Y., et al. (2026) · iScience · doi:10.1016/j.isci.2026.115592 · Cited by 1 · see citing works
Lin, Z., Liu, Y., Tian, X., Su, T., Yang, Y., Liang, R., Gu, S., Li, J., Song, X., Liang, B., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241210041 · Cited by 1 · see citing works
Unveiling therapeutic avenues targeting xCT in head and neck cancer
Lee, J., & Roh, J. (2024) · Cellular Oncology · doi:10.1007/s13402-024-00997-9 · Cited by 1 · see citing works
Omics-Based Interaction Framework – a systems model to reveal molecular drivers of synergyPreprint
García, J. P., Kulkarni, V. V., Reese, T. C., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.16.041350
Opinion: Why Should We Care about Endocrine Disruptors?
(2022) · Cancer Studies and Therapeutics · doi:10.31038/cst.2022711
Feng, Y., Li, W., Wang, Z., Zhang, R., Li, Y., Zang, L., Wang, P., Li, Z., & Dong, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21485719
Feng, Y., Li, W., Wang, Z., Zhang, R., Li, Y., Zang, L., Wang, P., Li, Z., & Dong, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21485731
Feng, Y., Li, W., Wang, Z., Zhang, R., Li, Y., Zang, L., Wang, P., Li, Z., & Dong, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21485725
Kukushkina, A. D., Rogovsky, V. S., & Boyko, A. N. (2025) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro202512507284
Feng, Y., Li, W., Wang, Z., Zhang, R., Li, Y., Zang, L., Wang, P., Li, Z., & Dong, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21485728
Feng, Y., Li, W., Wang, Z., Zhang, R., Li, Y., Zang, L., Wang, P., Li, Z., & Dong, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21485716
Feng, Y., Li, W., Wang, Z., Zhang, R., Li, Y., Zang, L., Wang, P., Li, Z., & Dong, Y. (2022) · Figshare · doi:10.6084/m9.figshare.21485734
Immune-Modulatory Mechanism of Compound Yeast Culture in the Liver of Weaned Lambs
Li, C., Bai, H., Bai, P., et al. (2025) · Animals · doi:10.3390/ani16010104
Deng, L., Yin, X., Zeng, Q., et al. (2026) · Aquaculture · doi:10.1016/j.aquaculture.2026.743894
Le rôle de l'érythroferrone dans la régulation du métabolisme du fer
Sardo, U. (2020) · theses.fr (ABES) · doi:10.70675/d03e67aczc44bz4af9z8fa1zef080668f44f
Soukop, J., Poruba, M., Rácová, Z., et al. (2026) · Biomedicines · doi:10.3390/biomedicines14061206
Fibrinogen as a Driver of Oxidative Stress and Apoptosis in the Fetal Brain After Maternal InfluenzaPreprint
Gonzalez-Ricon, R., Rigal, F. J., Chalen, I., & Antonson, A. M. (2026) · Research Square · doi:10.21203/rs.3.rs-10396951/v1
Bactericidal and anti-inflammatory activity of defined hypochlorite solution
Chapman, C., Dakin, M., & Aspinall, R. (2026) · PLoS ONE · doi:10.1371/journal.pone.0352576
Nicotinamide N-methyltransferase couples inflammation and epigenetic remodeling to hepatic fibrosisPreprint
Sukhanava, S., Allo, P. V., He, Y., Chen, L., Zhu, Y., Youhanna, S. C., García‐Irigoyen, O., Li, Q., Ellis, E., Lauschke, V. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.30.740978
Li, J., Shi, Y., Chen, H., Jiang, D., Ma, X., Li, X., Wang, P., Zhu, J., Mo, Q., Zhuang, S., et al. (2026) · Clinical Science · doi:10.1042/cs20250416
Shi, P.-X., He, X.-Y., Zhao, L., Pan, W.-S., Zhou, M.-H., & Zhang, T. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1891172
Rebl, A., Collet, B., Kyslík, J., & Korytář, T. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1938274
Liao, X., Yang, H., Lin, P., & Chen, S. (2026) · Materials Today Physics · doi:10.1016/j.mtphys.2026.102275
- Authors
- Goldstein, I., Paakinaho, V., Baek, S., Sung, M.-H., & Hager, G. L.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Goldstein, Ido
- Hager, Gordon L.
- Venue
- Nature Communications
- Published
- 2017-11-29
- Volume
- 8
- Issue
- 1
- Pages
- 1849-1849
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5707366
- OpenAlex
- W2770530503
- Cited by
- 97
- References
- 71
- Citations by year
- 2026: 12 · 2025: 8 · 2024: 17 · 2023: 8 · 2022: 14 · 2021: 11 · 2020: 13 · 2019: 10 · 2018: 4
- FWCI
- 2.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Sigrid Juséliuksen Säätiö
- National Institutes of Health
- National Institute on Aging
- National Cancer Institute
- Topics
- Health Sciences › Medicine › Oncology › Cytokine Signaling Pathways and Interactions
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › NF-κB Signaling Pathways
- Keywords
- acute phase response, IL-1β, interleukin-6, STAT3, NF-κB, synergistic gene expression, hepatocytes, acute phase proteins, H3K27ac, transcription factor binding, chromatin occupancy
- MeSH terms
- Acute-Phase Reaction, Animals, Binding Sites, Cells, Cultured, Enhancer Elements, Genetic, Gene Expression Regulation, Male, Mice, Inbred C57BL, RNA Polymerase II, Transcription Factors, Interleukin-6, NF-kappa B, Hepatocytes, Chromatin Immunoprecipitation, STAT3 Transcription Factor, Interleukin-1beta
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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.
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