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Transcription factors as readers and effectors of DNA methylation
Open accessAbstract
Recent technological advances have made it possible to decode DNA methylomes at single-base-pair resolution under various physiological conditions. Many aberrant or differentially methylated sites have been discovered, but the mechanisms by which changes in DNA methylation lead to observed phenotypes, such as cancer, remain elusive. The classical view of methylation-mediated protein–DNA interactions is that only proteins with a methyl-CpG binding domain (MBD) can interact with methylated DNA. However, evidence is emerging to suggest that transcription factors lacking a MBD can also interact with methylated DNA. The identification of these proteins and the elucidation of their characteristics and the biological consequences of methylation-dependent transcription factor–DNA interactions are important stepping stones towards a mechanistic understanding of methylation-mediated biological processes, which have crucial implications for human development and disease.
Overview
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TL;DR
This review/analysis argues that transcription factors lacking methyl-CpG binding domains can act as sequence-specific readers and effectors of methylated DNA, extending the classical MBD-only model. It combines in vitro discovery screens with in vivo ENCODE-based integration to show that many TF binding sites overlap highly methylated CpGs, while stressing unresolved causality and physiological relevance.
Key findings
- Classical MBD proteins bind methylated DNA without strong sequence specificity, but emerging evidence shows TFs such as Kaiso, CEBPα, ZFP57/KAP1, KLF4 and others can recognize methylated motifs in a sequence-dependent manner.
- A protein microarray probing 1,321 human TFs and 210 cofactors with 154 methylated motifs found that 150 motifs bound at least one protein; 41 TFs and 6 cofactors bound at least one methylated sequence, with binding spread across families such as zf-C2H2, homeobox, bHLH, forkhead, bZIP and HMG.
- An MS/MS pulldown from mouse ES nuclear extracts identified 19 proteins preferring methylated over unmethylated probes, including known MBD proteins and TFs; a distinct set was found in neuronal progenitor cells.
- In H1 human ES cells, 77,124 of 258,188 DNase I hypersensitive sites (29.9%) had average CpG methylation above 80%; for CEBPβ, 6,675 of 15,557 ChIP–seq peaks (42.9%) exceeded 80% methylation, and motif analysis found 3,894 of 15,557 CEBPβ sites (25.0%) carried a highly methylated CpG in the enriched motif, compared with 7.7% for E2F6, 5.2% for RFX5, 3.0% for KLF4 and 1.6% for BACH1.
Methods
- This is a review/Analysis article synthesizing literature on DNA methylation readers and effectors, focused mainly on mammalian methylated CpG sites.
- It describes high-throughput discovery approaches including tandem mass spectrometry pulldown, functional protein microarrays, DNA microarrays and ChIP–BS-seq.
- It also reports an integrative in vivo analysis: ENCODE H1 hESC DNase I hypersensitivity peaks and whole-genome bisulfite methylome data were overlaid; TF ChIP–seq peaks were called with IDR and compared with methylation levels; MEME was used for motif discovery, with NRF1 and TAF1 as negative controls.
Limitations
- The authors state that causality between DNA methylation and TF binding remains unclear, that a more comprehensive catalogue of readers/effectors is needed, and that in vivo validation and physiological relevance are still major challenges; many interactions rest mainly on in vitro evidence.
- Method-specific limitations stated include: MS/MS probes are often generic, so sequence specificity is elusive; DNA microarrays require prior knowledge of a candidate TF; ChIP–BS-seq requires prior knowledge and suitable antibodies; and Kaiso in vivo results conflict across cell types, suggesting cell-type specificity.
- Evident from the text: the in vivo integration is constrained by limited available ChIP–seq data (only six TFs in H1 cells) and uses a stringent >80% methylation cutoff, making the reported overlap estimates conservative; as a review, it does not present a single new experimental cohort.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“of the 15,557 ChIP–seq peaks identified for CEBPβ, 6,675 (42.9%) had a methylation level greater than 80%.”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
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In the paper
“Overall, 77,124 (29.9%) of the 258,188 DHSs detected in H1 cells had an average methylation level greater than 80% at CpG sites (FIG. 2a)”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Based on the analysis of KLF4 binding in ES cells, we also found that KLF4 binds to methylated enhancer regions53”
§ Transcription factors as readers and effectors of DNA methylation > Features of methylated-DNA–protein interaction > Cis-regulatory elements
What the sources say
- Not checked yetcites [53] Hu, S. et al. DNA methylation presents distinct binding sites for human transcription factors. eLife 2, e00726 (2013). This study identifies the transcription factors that preferentially bind to methylated DNA using a protein microarray-based approach and verified that endogenous KLF4 binds to methylated DNA in human ES cells. source
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In the paper
“A motif could be reconstructed with these 3,894 binding peaks, which represented the methylated motif for CEBPβ (FIG. 2c).”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Among the 6,675 peaks with a high methylation level, 3,894 carried a highly methylated (>80%) CpG site within the enriched motifs.”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
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In the paper
“indicating that a substantial fraction of their binding sites are located in highly methylated regions (FIG. 2a).”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
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In the paper
“The most significantly enriched motif did not contain a CpG site.”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
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In the paper
“The DNA methylation levels within the ChIP–seq peaks showed a bimodal distribution for all TFs except RXRα”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
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In the paper
“when the same analysis was applied to those peaks that have high methylation levels, a significantly enriched motif containing a CpG site at position 4 was discovered (FIG. 2b).”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Indeed, we observed a large overlap between known pioneer TFs and proteins that bind to methylated DNA (for example, forkhead box protein A (FOXA) and GATA families, which are the best-studied pioneer factors)106,108–110.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Pioneer TFs
What the sources say
- Not checked yetcites [106] Zaret, K. S. & Carroll, J. S. Pioneer transcription factors: establishing competence for gene expression. Genes Dev. 25, 2227–2241 (2011). source
- Not checked yetcites [108] Bossard, P. & Zaret, K. S. GATA transcription factors as potentiators of gut endoderm differentiation. Development 125, 4909–4917 (1998). source
- Not checked yetcites [109] Laverriere, A. C. et al. GATA-4/5/6, a subfamily of three transcription factors transcribed in developing heart and gut. J. Biol. Chem. 269, 23177–23184 (1994). source
- Not checked yetcites [110] Liu, J. K., DiPersio, C. M. & Zaret, K. S. Extracellular signals that regulate liver transcription factors during hepatic differentiation in vitro. Mol. Cell. Biol. 11, 773–784 (1991). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 38
- Probably not a substantial claim. 7
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“neither NRF1 (FIG. 2a) nor TAF1 (Supplementary information S1 (figure)) showed a bimodal distribution, demonstrating that these TFs only bind to regions with low levels of methylation.”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: NRF1 and TAF1 do not interact with methylated DNA.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“25.0% (3,894 out of 15,557), 7.7% (1,103 out of 14,396), 5.2% (88 out of 1,695), 3.0% (115 out of 3,793) and 1.6% (186 out of 11,457) of binding sites were highly methylated for CEBPβ, E2F6, RFX5, KLF4 and BACH1, respectively (FIG. 2c).”
§ Transcription factors as readers and effectors of DNA methylation > Methylated DNA–TF interactions in vivo
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In the paper
“a bZIP herpesvirus protein, Zta, was found to bind to methylated regulatory elements and control the epigenetic landscape during the latency-to-lytic phase transition in infected mammalian cells45”
§ Transcription factors as readers and effectors of DNA methylation > Readers of methylated DNA
What the sources say
- Not checked yetcites [45] Karlsson, Q. H., Schelcher, C., Verrall, E., Petosa, C. & Sinclair, A. J. Methylated DNA recognition during the reversal of epigenetic silencing is regulated by cysteine and serine residues in the Epstein-Barr virus lytic switch protein. PLoS Pathog. 4, e1000005 (2008). source
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None of the sources cited for this claim have been checked yet.
In the paper
“the basic leucine zipper (bZIP) CCAAT/enhancer-binding protein-α (CEBPα)42, the zinc-finger protein ZFP57 and its cofactor KRAB-associated protein 1 (KAP1; also known as TIF1β)43,44 were shown to interact with specific methylated sequences.”
§ Transcription factors as readers and effectors of DNA methylation > Readers of methylated DNA
What the sources say
- Not checked yetcites [42] Rishi, V. et al. CpG methylation of half-CRE sequences creates C/EBPα binding sites that activate some tissue-specific genes. Proc. Natl Acad. Sci. USA 107, 20311–20316 (2010). source
- Not checked yetcites [43] Quenneville, S. et al. In embryonic stem cells, ZFP57/KAP1 recognize a methylated hexanucleotide to affect chromatin and DNA methylation of imprinting control regions. Mol. Cell 44, 361–372 (2011). This paper demonstrates that ZFP57 and its cofactor KAP1 affect chromatin by interacting with methylated ICRs in embryonic stem cells. source
- Not checked yetcites [44] Liu, Y., Toh, H., Sasaki, H., Zhang, X. & Cheng, X. An atomic model of Zfp57 recognition of CpG methylation within a specific DNA sequence. Genes Dev. 26, 2374–2379 (2012). source
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In the paper
“The authors applied the same approach to neuronal progenitor cells and found that a large and distinct set of proteins showed preferential binding to mCpG sites, suggesting that the interaction with mCpG is dynamic and thus varies under different physiological conditions.”
§ Transcription factors as readers and effectors of DNA methylation > High-throughput reader discovery > Tandem mass spectrometry
What the sources say
- Not checked yetcites [51] Spruijt, C. G. et al. Dynamic readers for 5-(hydroxy)methylcytosine and its oxidized derivatives. Cell 152, 1146–1159 (2013). This paper describes the identification of proteins that interact with mCpG sites, 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC) in ES cells and neuronal progenitor cells using a MS/MS-based approach. source
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In the paper
“the reduction of DNA methylation led to a decrease in H3K27ac marks, suggesting an active role of DNA methylation in regulating enhancer activity.”
§ Transcription factors as readers and effectors of DNA methylation > Features of methylated-DNA–protein interaction > Cis-regulatory elements
What the sources say
- Not checked yetcites [79] Charlet, J. et al. Bivalent regions of cytosine methylation and H3K27 acetylation suggest an active role for DNA methylation at enhancers. Mol. Cell 62, 422–431 (2016). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“CEBPα is known to bind a particular sequence element, 5′-TGACGTCA42. However, when the CpG is methylated, CEBPα can effectively recognize half of the motif: 5′-mCGTCA42.”
§ Transcription factors as readers and effectors of DNA methylation > Features of methylated-DNA–protein interaction > Sequence specificity
What the sources say
- Not checked yetcites [42] Rishi, V. et al. CpG methylation of half-CRE sequences creates C/EBPα binding sites that activate some tissue-specific genes. Proc. Natl Acad. Sci. USA 107, 20311–20316 (2010). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“the recent crystal structure of mouse ZFP57 in complex with a methylated DNA sequence demonstrated that its two zinc-fingers interact with methylated DNA, and that an arginine (Arg178), which is involved in hydrophobic interactions, plays a crucial part in mCpG binding44.”
§ Transcription factors as readers and effectors of DNA methylation > Features of methylated-DNA–protein interaction > Protein domains that interact with methylated DNA
What the sources say
- Not checked yetcites [44] Liu, Y., Toh, H., Sasaki, H., Zhang, X. & Cheng, X. An atomic model of Zfp57 recognition of CpG methylation within a specific DNA sequence. Genes Dev. 26, 2374–2379 (2012). source
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“approximately 6.7% of the mouse genome is differentially methylated, mostly at distal cis-regulatory regions77.”
§ Transcription factors as readers and effectors of DNA methylation > Features of methylated-DNA–protein interaction > Cis-regulatory elements
What the sources say
- Not checked yetcites [77] Hon, G. C. et al. Epigenetic memory at embryonic enhancers identified in DNA methylation maps from adult mouse tissues. Nat. Genet. 45, 1198–1206 (2013). source
Strength:plain· not yet calibratedn = 17Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“the DNA probes used in this approach are typically generic and, therefore, sequence specificity of observed interactions remains elusive.”
§ Transcription factors as readers and effectors of DNA methylation > High-throughput reader discovery > Tandem mass spectrometry
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“prior knowledge of a candidate TF is required because it can be cumbersome to survey an entire TF family.”
§ Transcription factors as readers and effectors of DNA methylation > High-throughput reader discovery > DNA microarray
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Most of these factors were found to bind to only a few methylated sequences, suggesting that the interactions are not only methylation-dependent but also sequence-specific.”
§ Transcription factors as readers and effectors of DNA methylation > High-throughput reader discovery > Functional protein microarray
What the sources say
- Not checked yetcites [53] Hu, S. et al. DNA methylation presents distinct binding sites for human transcription factors. eLife 2, e00726 (2013). This study identifies the transcription factors that preferentially bind to methylated DNA using a protein microarray-based approach and verified that endogenous KLF4 binds to methylated DNA in human ES cells. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“A subsequent validation assay showed that some of these TFs indeed bind to methylated DNA in vivo and regulate gene expression53.”
§ Transcription factors as readers and effectors of DNA methylation > High-throughput reader discovery > Functional protein microarray
What the sources say
- Not checked yetcites [53] Hu, S. et al. DNA methylation presents distinct binding sites for human transcription factors. eLife 2, e00726 (2013). This study identifies the transcription factors that preferentially bind to methylated DNA using a protein microarray-based approach and verified that endogenous KLF4 binds to methylated DNA in human ES cells. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“A separate study suggested that an arginine and glutamate pair in KLF4 recognizes the mCpG site68.”
§ Transcription factors as readers and effectors of DNA methylation > Features of methylated-DNA–protein interaction > Protein domains that interact with methylated DNA
What the sources say
- Not checked yetcites [68] Liu, Y. et al. Structural basis for Klf4 recognition of methylated DNA. Nucleic Acids Res. 42, 4859–4867 (2014). This study determined the crystal structure of the KLF4-methylated DNA complex and provided the structural basis for mCpG–TF interactions. source
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“although KLF4 recognizes a non-methylated canonical motif of 5′-TTTACGCC, it has been demonstrated that KLF4 specifically recognizes a 5′-TCCmCGCCC motif only when the CpG is methylated53.”
§ Transcription factors as readers and effectors of DNA methylation > Features of methylated-DNA–protein interaction > Sequence specificity
What the sources say
- Not checked yetcites [53] Hu, S. et al. DNA methylation presents distinct binding sites for human transcription factors. eLife 2, e00726 (2013). This study identifies the transcription factors that preferentially bind to methylated DNA using a protein microarray-based approach and verified that endogenous KLF4 binds to methylated DNA in human ES cells. source
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What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“it requires prior knowledge of mCpG-binding proteins and the availability of antibodies that are directed against the proteins of interest.”
§ Transcription factors as readers and effectors of DNA methylation > High-throughput reader discovery > ChIP–BS-seq
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In the paper
“when the paternal ICR is methylated, CTCF cannot bind to the ICR, thus allowing the activation of downstream genes by distal enhancers.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > Protein binding affects the DNA methylation status
What the sources say
- Not checked yetcites [81] Bell, A. C. & Felsenfeld, G. Methylation of a CTCF-dependent boundary controls imprinted expression of the Igf2 gene. Nature 405, 482–485 (2000). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“These methylation regions are overrepresented in DHSs and are evolutionarily conserved”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Activation or repression
What the sources say
- Not checked yetcites [101] Wan, J. et al. Characterization of tissue-specific differential DNA methylation suggests distinct modes of positive and negative gene expression regulation. BMC Genomics 16, 49 (2015). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Insertion of the binding site induced CTCF binding and resulted in a reduced methylation level in local genomic regions.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > Protein binding affects the DNA methylation status
What the sources say
- Not checked yetcites [78] Stadler, M. B. et al. DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature 480, 490–495 (2011). This paper demonstrates that some proteins, such as CTCF and REST, can reduce DNA methylation levels at the genomic regions near their binding regions. source
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In the paper
“Methylation in promoters is often considered the hallmark for gene repression99.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Activation or repression
What the sources say
- Not checked yetcites [99] Baylin, S. B. DNA methylation and gene silencing in cancer. Nat. Clin. Pract. Oncol. 2, S4–S11 (2005). source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Yet, binding to an mCpG site is just one approach for a pioneer TF to access condensed chromatin. Other pioneer TFs might have alternative approaches such as binding to partial motifs.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Pioneer TFs
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“Although only approximately 25% of known TF binding motifs contain at least one CpG site98, through such indirect crosstalk mechanisms, the binding of TFs without CpGs in their binding motifs could also be influenced by DNA methylation.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > DNA methylation dictates protein–DNA interactions
What the sources say
- Not checked yetcites [98] Blattler, A. & Farnham, P. J. Cross-talk between site-specific transcription factors and DNA methylation states. J. Biol. Chem. 288, 34287–34294 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“One is heterochromatin (or condensed chromatin), in which DNA sequences and histones are highly condensed, and genes in these regions are inactive. The other form is euchromatin (or open chromatin), in which DNA sequences are largely accessible to TFs, and genes in these regions can be activated102,103.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Pioneer TFs
What the sources say
- Not checked yetcites [102] Kornberg, R. D. Chromatin structure: a repeating unit of histones and DNA. Science 184, 868–871 (1974). source
- Not checked yetcites [103] Mikkelsen, T. S. et al. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells. Nature 448, 553–560 (2007). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“These binding sites often correlated with novel DHSs in the TKO cells, which exhibited predominantly low methylation levels due to their generation in cells lacking DNMTs.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > DNA methylation dictates protein–DNA interactions
What the sources say
- Not checked yetcites [97] Domcke, S. et al. Competition between DNA methylation and transcription factors determines binding of NRF1. Nature 528, 575–579 (2015). This paper shows that the removal of DNA methylation would create novel binding sites for NRF1 and thus affect the NRF1–DNA interactions in vivo , whereas other studies showed that DNA methylation could affect TF–DNA interactions in vitro. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Deletion of CTCF motifs within the construct led to hypermethylation and thus decreased NRF1 binding, suggesting that NRF1 binding in vivo depends on both methylation levels and co-occurring TFs, such as CTCF97.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > DNA methylation dictates protein–DNA interactions
What the sources say
- Not checked yetcites [97] Domcke, S. et al. Competition between DNA methylation and transcription factors determines binding of NRF1. Nature 528, 575–579 (2015). This paper shows that the removal of DNA methylation would create novel binding sites for NRF1 and thus affect the NRF1–DNA interactions in vivo , whereas other studies showed that DNA methylation could affect TF–DNA interactions in vitro. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“novel NRF1 binding sites were hypermethylated in the wild-type cell line97, suggesting that the removal of DNA methylation in TKO cells generated new binding sites for NRF1.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > DNA methylation dictates protein–DNA interactions
What the sources say
- Not checked yetcites [97] Domcke, S. et al. Competition between DNA methylation and transcription factors determines binding of NRF1. Nature 528, 575–579 (2015). This paper shows that the removal of DNA methylation would create novel binding sites for NRF1 and thus affect the NRF1–DNA interactions in vivo , whereas other studies showed that DNA methylation could affect TF–DNA interactions in vitro. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“although CTCF is known to change the local methylation status78, it has been shown that the binding of CTCF is also methylation sensitive96.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > DNA methylation dictates protein–DNA interactions
What the sources say
- Not checked yetcites [78] Stadler, M. B. et al. DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature 480, 490–495 (2011). This paper demonstrates that some proteins, such as CTCF and REST, can reduce DNA methylation levels at the genomic regions near their binding regions. source
- Not checked yetcites [96] Maurano, M. T. et al. Role of DNA methylation in modulating transcription factor occupancy. Cell Rep. 12, 1184–1195 (2015). source
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“In one study, the authors observed that the binding of CTCF in an exon region created a roadblock for RNA polymerase II elongation and thus promoted the inclusion of the exon112.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Splicing regulation
What the sources say
- Not checked yetcites [112] Shukla, S. et al. CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing. Nature 479, 74–79 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The mCpG-binding protein KLF4 was also shown to be a pioneer factor105,111.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Pioneer TFs
What the sources say
- Not checked yetcites [105] Iwafuchi-Doi, M. & Zaret, K. S. Pioneer transcription factors in cell reprogramming. Genes Dev. 28, 2679–2692 (2014). source
- Not checked yetcites [111] Buganim, Y., Faddah, D. A. & Jaenisch, R. Mechanisms and models of somatic cell reprogramming. Nat. Rev. Genet. 14, 427–439 (2013). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Pioneer TFs are a unique subset of TFs that drive these chromatin changes.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Pioneer TFs
What the sources say
- Not checked yetcites [105] Iwafuchi-Doi, M. & Zaret, K. S. Pioneer transcription factors in cell reprogramming. Genes Dev. 28, 2679–2692 (2014). source
- Not checked yetcites [106] Zaret, K. S. & Carroll, J. S. Pioneer transcription factors: establishing competence for gene expression. Genes Dev. 25, 2227–2241 (2011). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Chromatin organization is dynamic, and the different types of chromatin can change from one form to another during development or differentiation104”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Pioneer TFs
What the sources say
- Not checked yetcites [104] Ho, L. & Crabtree, G. R. Chromatin remodelling during development. Nature 463, 474–484 (2010). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Sato et al.86 demonstrated that DNMT3A and DNMT3B interact with an orphan nuclear receptor, NR6A1 (nuclear receptor subfamily 6 group A member 1), and that this interaction induced the methylation of the OCT4 (also known as OCT3 and POU5F1) promoter carrying the NR6A1 binding site.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > Protein binding affects the DNA methylation status
What the sources say
- Not checked yetcites [86] Sato, N., Kondo, M. & Arai, K. The orphan nuclear receptor GCNF recruits DNA methyltransferase for Oct-3/4 silencing. Biochem. Biophys. Res. Commun. 344, 845–851 (2006). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Differences in chromatin states will either create or eliminate TF binding sites and thus lead to differential TF binding.”
§ Transcription factors as readers and effectors of DNA methylation > Cause or consequence? > DNA methylation dictates protein–DNA interactions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“A typical characteristic of pioneer TFs is their ability to bind directly to heterochromatic DNA and recruit other factors to change the status to euchromatin to initiate transcription105,106.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Pioneer TFs
What the sources say
- Not checked yetcites [105] Iwafuchi-Doi, M. & Zaret, K. S. Pioneer transcription factors in cell reprogramming. Genes Dev. 28, 2679–2692 (2014). source
- Not checked yetcites [106] Zaret, K. S. & Carroll, J. S. Pioneer transcription factors: establishing competence for gene expression. Genes Dev. 25, 2227–2241 (2011). source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Although CTCF motifs were significantly enriched in differentially methylated regions associated with alternative splicing, other motifs were also enriched”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Splicing regulation
What the sources say
- Not checked yetcites [115] Wan, J. et al. Integrative analysis of tissue-specific methylation and alternative splicing identifies conserved transcription factor binding motifs. Nucleic Acids Res. 41, 8503–8514 (2013). source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“IDH mutant gliomas have been shown to exhibit hypermethylation at CTCF binding sites, which leads to a reduction in CTCF binding”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Human diseases
What the sources say
- Not checked yetcites [117] Flavahan, W. A. et al. Insulator dysfunction and oncogene activation in IDH mutant gliomas. Nature (2015). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Many studies have shown that aberrant DNA methylation is associated with various human diseases, including some types of cancer19–21.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Human diseases
What the sources say
- Not checked yetcites [19] Jones, P. A. & Baylin, S. B. The fundamental role of epigenetic events in cancer. Nat. Rev. Genet. 3, 415–428 (2002). source
- Not checked yetcites [20] Jones, P. A. & Baylin, S. B. The epigenomics of cancer. Cell 128, 683–692 (2007). source
- Not checked yetcites [21] Jones, P. A. & Laird, P. W. Cancer epigenetics comes of age. Nat. Genet. 21, 163–167 (1999). source
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“A comparison of methylation levels between queen and worker bees revealed that intron-containing histone genes were highly methylated, whereas intronless histone genes were not methylated”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Splicing regulation
What the sources say
- Not checked yetcites [114] Lyko, F. et al. The honey bee epigenomes: differential methylation of brain DNA in queens and workers. PLoS Biol. 8, e1000506 (2010). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“loss of CTCF in topologically associated domains removed the domain boundary and caused aberrant gene activation117.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Human diseases
What the sources say
- Not checked yetcites [117] Flavahan, W. A. et al. Insulator dysfunction and oncogene activation in IDH mutant gliomas. Nature (2015). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The IDH genes (IDH1 and IDH2) encode isocitrate dehydrogenases, and mutations in these genes are among the most frequent found in diffuse gliomas118,119.”
§ Transcription factors as readers and effectors of DNA methylation > Biological consequences > Human diseases
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Of note, this new concept does not refute the conventional view that most TFs do not interact with methylated DNA.”
§ Transcription factors as readers and effectors of DNA methylation > Conclusions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Rests on an assumption: Most transcription factors do not interact with methylated DNA.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Here, we have focused on this exciting and novel concept with a full awareness that it may apply only to a subset of TFs and to a subset of their binding sites.”
§ Transcription factors as readers and effectors of DNA methylation > Conclusions
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
The paper relies on this without support.
NRF1 and TAF1 do not interact with methylated DNA.
“we selected two TFs (nuclear respiratory factor 1 (NRF1) and transcription initiation factor TFIID subunit 1 (TAF1)), which are known not to interact with methylated DNA (based on our current knowledge), as negative controls”
The paper relies on this without support.
DNA in heterochromatin is often methylated and tightly wrapped around nucleosomes, making it inaccessible to most transcription factors.
“As DNA in heterochromatin is wrapped tightly around the nucleosomes and is often methylated, it is inaccessible to most TFs; pioneer TFs must possess special features to enable protein–DNA interactions.”
The paper relies on this without support.
Splicing occurs co-transcriptionally.
“However, it is now well-established that splicing occurs co-transcriptionally, which means that DNA modification could influence RNA splicing.”
The paper relies on this without support.
The role of MBD proteins as non-sequence-specific methylation readers has been fairly well studied.
“Although the role of MBD proteins, as non-sequence-specific methylation readers, has been fairly well-studied, the biological functions of an emerging class of sequence-specific methylation readers and/or effectors remain elusive.”
The paper relies on this without support.
The biological functions of sequence-specific methylation readers and/or effectors remain elusive.
“Although the role of MBD proteins, as non-sequence-specific methylation readers, has been fairly well-studied, the biological functions of an emerging class of sequence-specific methylation readers and/or effectors remain elusive.”
The paper relies on this without support.
Methylation readers typically bind both methylated and unmethylated sites.
“A methylation reader usually interacts with both methylated sites and unmethylated sites.”
The paper relies on this without support.
Most transcription factors do not interact with methylated DNA.
“Of note, this new concept does not refute the conventional view that most TFs do not interact with methylated DNA.”
The paper relies on this without support.
The mechanism by which altered epigenetic state causes disease remains elusive.
“However, the mechanism by which the altered epigenetic state causes disease remains elusive.”
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In addition, acetylation of lysine 27 of histone 3 (H3K27ac) is associated with the active state of both elements.”
From Hepatocyte Nuclear Factor 4‐Alpha Is Essential for the Active Epigenetic State at Enhancers in Mouse Liver (2019) · cites this paper as [13]
Experimental — accuracy not yet measuredIn the citing paper
“In addition, studies suggest that numerous transcription factors (TFs) can also directly sense the state of cytosine methylation through the modulation of their binding affinity and specificity (26).”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [26]
In the citing paper
“The development of high-throughput assays for TF-DNA interaction has identified many transcription factors with binding specificity altered by the presence of 5mC in recognition sequences (26).”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [26]
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.
Kaiso studies are cited with the wrong reference numbers
MinorThe later passage assigns Kaiso's in-vivo binding studies to references 58-60, whereas the earlier passage identifies those studies as references 61-63.
“For example, the studies showing that Kaiso binds to methylated DNA in vivo58–60 were focused on a few genes or genomic regions rather than genome-wide surveys.”
“Similarly, Kaiso was shown to bind to the methylated promoter of the MTA2 gene in HeLa cells61. Another study, which used a quantitative ChIP–PCR assay, demonstrated that Kaiso binds to the methylated promoters of CDKN2A, MGMT and HIC1 in both HCT116 and Colo320 human colon cancer cell lines62.”
The cited IDR reference describes a different method
MinorThe paper cites reference 66 for the Irreproducible Discovery Rate method, but its reference list identifies 66 as a paper on RNA-seq isoform modeling.
“uniform peaks were called using the Irreproducible Discovery Rate (IDR) method66.”
“66. Li JJ Jiang CR Brown JB Huang H Bickel PJ Sparse linear modeling of next-generation mRNA sequencing (RNA-Seq) data for isoform discovery and abundance estimation Proc. Natl Acad. Sci. USA 108 19867 19872 2011”
Citations
Cites
MEME SUITE: tools for motif discovery and searching
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Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2
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Using molecular biology to predict the outcome in psychotic disorders
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Exploring the Role of DNA Methylation in the Epigenetic Landscape of Cancer
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BayesPI-FLY: a Bayesian neural network approach for inferring feature weighted TF–DNA interaction
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Metadata
- Authors
- Zhu, H., Wang, G., & Qian, J.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Zhu, Heng
- Qian, Jiang
- Venue
- Nature Reviews Genetics
- Published
- 2016-08-01
- Volume
- 17
- Issue
- 9
- Pages
- 551-565
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC5559737
- OpenAlex
- W2494121918
- Semantic Scholar
- 6dee1bc645a95ab7b9afe8a303d0b916cc74f4b3
- Cited by
- 649
- References
- 146
- Citations by year
- 2026: 35 · 2025: 46 · 2024: 81 · 2023: 53 · 2022: 107 · 2021: 102 · 2020: 74 · 2019: 62 · 2018: 44 · 2017: 38 · 2016: 7
- FWCI
- 4.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Eye Institute (R01EY024580, R01EY023188)
- National Institute of General Medical Sciences (R01GM111514)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cancer-related gene regulation
- Keywords
- DNA methylation, transcription factors, methyl-CpG binding domain, protein-DNA interactions, methylated DNA, differentially methylated sites, aberrant DNA methylation, epigenetic regulation, cancer epigenetics, human development
- MeSH terms
- DNA, DNA-Binding Proteins, Humans, Transcription Factors, Transcription, Genetic, DNA Methylation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
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