Dynamic DNA methylation: In the right place at the right time
Open accessAbstract
The classical model of cytosine DNA methylation (the presence of 5-methylcytosine, 5mC) regulation depicts this covalent modification as a stable repressive regulator of promoter activity. However, whole-genome analysis of 5mC reveals widespread tissue- and cell type–specific patterns and pervasive dynamics during mammalian development. Here we review recent findings that delineate 5mC functions in developmental stages and diverse genomic compartments as well as discuss the molecular mechanisms that connect transcriptional regulation and 5mC. Beyond the newly appreciated dynamics, regulatory roles for 5mC have been suggested in new biological contexts, such as learning and memory or aging. The use of new single-cell measurement techniques and precise editing tools will enable functional analyses of 5mC in gene expression, clarifying its role in various biological processes.
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- Premisecitation
Tissue-type-specific differentially methylated regions are defined by lineage-specific gain and loss of 5mC during embryogenesis.
“These tissue-type specific DMRs are defined by both lineage specific gain and loss of 5mC during embryogenesis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Schultz MD, Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523, 212– 216 (2015). 26030523 PMC4499021 source
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- Premisecitation
Numerous transcription factors can directly sense cytosine methylation through changes in their binding affinity and specificity.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Zhu H, Wang G, Qian J, Transcription factors as readers and effectors of DNA methylation. Nat. Rev. Genet 17, 551– 565 (2016). 27479905 PMC5559737 source
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- Premisecitation
Dynamically methylated CpGs cluster into more than one million tissue-specific differentially methylated regions.
“These dynamically methylated CpGs cluster into over 1 million tissue specific differentially methylated regions (DMRs).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [4] Schultz MD, Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523, 212– 216 (2015). 26030523 PMC4499021 source
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- cites [5] Ziller MJ, Charting a dynamic DNA methylation landscape of the human genome. Nature. 500, 477– 481 (2013). 23925113 PMC3821869 source
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- Premisecitation
Deletion of REST increases 5mC at lowly methylated regions normally bound by REST.
“The deletion of REST led to increased 5mC at lowly methylated regions normally bound by REST.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Stadler MB, DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature. 480, 490– 495 (2011). 22170606 source
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- Premisecitation
This gain of 5mC can be reversed by re-introducing REST.
“Notably, such gain of 5mC can be reversed by re-introducing REST.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Stadler MB, DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature. 480, 490– 495 (2011). 22170606 source
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- Premisecitation
Many genes are expressed during spermatogenesis despite high methylation at their promoters.
“and numerous genes are expressed during spermatogenesis despite high level methylation at their promoters (18).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Hammoud SS, Chromatin and transcription transitions of mammalian adult germline stem cells and spermatogenesis. Cell Stem Cell. 15, 239– 253 (2014). 24835570 source
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- Premisecitation
Promoter H3K4me3 inhibits DNMT3a activity, preventing methylation at CpG islands.
“Promoter H3K4me3, in turn, inhibits the activity of the de novo DNA methyltransferase DNMT3a thus preventing methylation at CGIs (20).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Guo X, Structural insight into autoinhibition and histone H3-induced activation of DNMT3A. Nature. 517, 640– 644 (2015). 25383530 source
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- Premisecitation
These CXXC proteins include components of the H3K4 methyltransferase complex.
“These proteins include components of the H3K4 methyltransferase complex (19).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Smith ZD, Meissner A, DNA methylation: roles in mammalian development. Nat. Rev. Genet 14, 204– 220 (2013). 23400093 source
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- Premisecitation
Global erasure of DNA methylation in primordial germ cells does not cause widespread transcriptional activation.
“For example, global erasure of DNA methylation in primordial germ cells (PGCs) does not lead to widespread transcriptional activation (16, 17)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [16] Seisenberger S, The dynamics of genome-wide DNA methylation reprogramming in mouse primordial germ cells. Mol. Cell 48, 849– 862 (2012). 23219530 PMC3533687 source
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- cites [17] Hill PWS, Epigenetic reprogramming enables the transition from primordial germ cell to gonocyte. Nature. 555, 392– 396 (2018). 29513657 PMC5856367 source
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- Premisecitation
Depletion of 5mC at CpG islands is partly determined by CpG dinucleotide clusters that are recognized and protected from methylation by CXXC zinc finger proteins.
“The depletion of 5mC at CGIs is, in part, determined by the presence of CpG dinucleotide clusters. that are specifically recognized and protected from methylation by proteins containing a CXXC zinc finger domain (19).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Smith ZD, Meissner A, DNA methylation: roles in mammalian development. Nat. Rev. Genet 14, 204– 220 (2013). 23400093 source
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- Premisecitation
Intragenic large differentially methylated regions can overlap tissue-defining signature genes and predicted super-enhancers.
“Intragenic DMRs that stretch for kilobases (large-DMRs) can overlap with tissue defining “signature genes” as well as with predicted super-enhancers, which are clusters of enhancers that function cooperatively (4, 10, 11).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [4] Schultz MD, Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523, 212– 216 (2015). 26030523 PMC4499021 source
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- cites [10] Luo C, Single Cell Methylomes Identify Neuronal Subtypes and Regulatory Elements in Mammalian Cortex. Science (2017). PMC5570439 28798132 source
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- cites [11] Whyte WA, Master transcription factors and mediator establish super-enhancers at key cell identity genes. Cell. 153, 307– 319 (2013). 23582322 PMC3653129 source
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- Premisecitation
Existing data suggest that the methylome is overall stable beyond adolescence.
“Although few analyses have been systematically performed across the lifespan of mammals, existing data suggests that, overall the methylome is stable beyond adolescence (13).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Lister R, Global epigenomic reconfiguration during mammalian brain development. Science. 341, 1237905 (2013). 23828890 PMC3785061 source
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- Premisecitation
Under normal physiological conditions, 15% to 21% of CpGs differ in methylation status between human tissues.
“direct comparison of whole genome methylome profiles derived from numerous cell types has revealed that under normal physiological conditions 15%-21% of CpGs vary in methylation status between human tissues (4, 5).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [4] Schultz MD, Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523, 212– 216 (2015). 26030523 PMC4499021 source
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- cites [5] Ziller MJ, Charting a dynamic DNA methylation landscape of the human genome. Nature. 500, 477– 481 (2013). 23925113 PMC3821869 source
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- Premisecitation
5mC readers, including methyl-CpG-binding domain proteins such as MECP2 and MBD proteins, recognize 5mC and recruit co-regulators to methylated DNA.
“5mC readers including proteins containing a methyl-CpG-binding domain such as MECP2 or MBD proteins can recognize 5mC and recruit co-regulators to methylated DNA (25).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Du Q, Luu P-L, Stirzaker C, Clark SJ, Methyl-CpG-binding domain proteins: readers of the epigenome. Epigenomics. 7, 1051– 1073 (2015). 25927341 source
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- Interpretationcitation
The model that differentially methylated regions reflect collective local demethylation induced by specific transcription factor binding is supported by mouse embryonic stem cell experiments with CTCF and REST.
“This model has been supported by experiments in mouse embryonic stem cell (mESC) using insulator protein CCCTC-binding factor (CTCF) and a transcriptional repressor of neural genes - RE1-Silencing Transcription factor (REST) (6).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Stadler MB, DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature. 480, 490– 495 (2011). 22170606 source
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- Premisecitation
Aberrant hypermethylation of CpG islands is commonly seen in cancers.
“In contrast, aberrant CGI hypermethylation is commonly observed in cancers (2).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Jones PA, Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat. Rev. Genet 13, 484– 492 (2012). 22641018 source
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- Premisecitation
In most somatic tissues, more than 80% of CpGs are methylated, except for CpG islands and other regulatory sequences that have reduced 5mC.
“In most somatic tissues, the majority (>80%) of CpGs in the genome are methylated, with the exception of CGIs, and other gene regulatory sequences that show reduced 5mC levels (3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Lister R, Human DNA methylomes at base resolution show widespread epigenomic differences. Nature. 462, 315– 322 (2009). 19829295 PMC2857523 source
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- Premisecitation
Depletion of 5mC at CpG islands also depends on binding by other specific transcription factors.
“Beyond CXXC containing proteins, the depletion of 5mC at CGIs is also dependent on the binding of other specific TFs (19).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Smith ZD, Meissner A, DNA methylation: roles in mammalian development. Nat. Rev. Genet 14, 204– 220 (2013). 23400093 source
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- Interpretationreasoning
Sequential waves of 5mC gain and loss from late fetal to early postnatal development account for most of the 5mC diversity found in differentiated tissues.
“Sequential waves of gain and loss of 5mC in late-fetal to early postnatal development contribute to the majority of 5mC diversity found in differentiated tissues.”
Quote in the paperSubstantial claim - Premisecitation
High-throughput assays for transcription factor-DNA interaction have identified many transcription factors whose binding specificity is altered by 5mC in recognition sequences.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Zhu H, Wang G, Qian J, Transcription factors as readers and effectors of DNA methylation. Nat. Rev. Genet 17, 551– 565 (2016). 27479905 PMC5559737 source
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- Interpretationreasoning
It remains uncertain how broadly 5mC modulation of transcription factor binding contributes to in vivo gene regulatory programs.
“Although in vitro studies reveal that the majority of TF-DNA interaction can be modulated by 5mC, it is still uncertain how broadly this mechanism contributes to in vivo gene regulatory programs.”
Quote in the paperNot a substantial claim - Premisecitation
A protein microarray study interrogating more than 1,500 transcription factors found over 40 that can bind methylated motifs.
“A protein microarray study that interrogated more than 1,500 TFs found over 40 TFs that are able to bind methylated motifs (27).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Hu S, DNA methylation presents distinct binding sites for human transcription factors. Elife. 2, e00726 (2013). 24015356 PMC3762332 source
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- Premisecitation
MECP2- and 5mCA-dependent repression is particularly critical for long genes longer than 100 kb, many of which have neuronal functions.
“MECP2 and 5mCA dependent repression is particularly critical for long genes (with a length greater than 100kb), many of which have neuronal functions (39).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Gabel HW, Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522, 89– 93 (2015). 25762136 PMC4480648 source
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- Premisecitation
This selective sensitivity to 5mC can be explained by the biophysical properties of CTCF's 11 zinc fingers, which make it sensitive to methylation of specific cytosines in its binding motif.
“This selective 5mC sensitivity can be explained by the different biophysical property of CTCF’s 11 zinc fingers leading to its sensitivity to specific cytosine within its binding motif being methylated (31).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Hashimoto H, Structural Basis for the Versatile and Methylation-Dependent Binding of CTCF to DNA. Mol. Cell 66, 711– 720.e3 (2017). 28529057 PMC5542067 source
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- Premisecitation
Interaction between DNMT3B and H3K36me leads to higher levels of intragenic 5mC for active genes in mouse embryonic stem cells.
“The interaction between DNMT3B and H3K36me leads to greater levels of intragenic 5mC for active genes in mESC (32).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Baubec T, Genomic profiling of DNA methyltransferases reveals a role for DNMT3B in genic methylation. Nature. 520, 243– 247 (2015). 25607372 source
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- Premisecitation
5mC affects CTCF binding only at a specific subset of recognition sequences.
“Intriguingly, 5mC only affects CTCF binding at a specific subset of recognition sequences (30).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Maurano MT, Role of DNA Methylation in Modulating Transcription Factor Occupancy. Cell Rep. 12, 1184– 1195 (2015). 26257180 source
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- Premisecitation
Independent studies report that MECP2 binds both 5mCA and 5mCG sites with high affinity.
“Independent studies have reported that MECP2 binds to both 5mCA and 5mCG sites with high affinity (37, 39, 40).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [37] Guo JU, Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain. Nat. Neurosci 17, 215– 222 (2014). 24362762 PMC3970219 source
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- cites [39] Gabel HW, Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522, 89– 93 (2015). 25762136 PMC4480648 source
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- cites [40] Mellén M, Ayata P, Heintz N, 5-hydroxymethylcytosine accumulation in postmitotic neurons results in functional demethylation of expressed genes. Proc. Natl. Acad. Sci. U. S. A 114, E7812– E7821 (2017). 28847947 PMC5604027 source
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- Premisecitation
Certain interactions between transcription factors and low-affinity binding sites can be enhanced by 5mC.
“These studies unexpectedly uncovered that certain interactions between TFs and low affinity binding sites can be enhanced by the presence of 5mC.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Yin Y, Impact of cytosine methylation on DNA binding specificities of human transcription factors. Science. 356 (2017), doi: 10.1126/science.aaj2239. PMC8009048 28473536 source
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- Premisecitation
In neurons, intragenic 5mCH quantitatively modulates gene expression by interacting with MECP2 and recruiting the NCoR corepressor complex to chromatin.
“In neurons, intragenic 5mCH quantitatively modulates gene expression by interacting with MECP2 and recruiting NCoR corepressor complex to chromatin (37–40).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [37] Guo JU, Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain. Nat. Neurosci 17, 215– 222 (2014). 24362762 PMC3970219 source
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- cites [38] Chen L, MeCP2 binds to non-CG methylated DNA as neurons mature, influencing transcription and the timing of onset for Rett syndrome. Proc. Natl. Acad. Sci. U. S. A 112, 5509– 5514 (2015). 25870282 PMC4418849 source
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- cites [39] Gabel HW, Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522, 89– 93 (2015). 25762136 PMC4480648 source
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- cites [40] Mellén M, Ayata P, Heintz N, 5-hydroxymethylcytosine accumulation in postmitotic neurons results in functional demethylation of expressed genes. Proc. Natl. Acad. Sci. U. S. A 114, E7812– E7821 (2017). 28847947 PMC5604027 source
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- Premisecitation
Human embryonic stem cells and mammalian brain tissues contain abundant non-CG methylation (5mCH), although the underlying three-base sequence context differs.
“Human embryonic stem cells (hESC) and mammalian brain tissues contain abundant non-CG methylation (5mCH, where H equals A, C or T) although the underlying three-base DNA sequence context (5mCAG vs. 5mCAC, respectively) is distinct (3, 13).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Lister R, Human DNA methylomes at base resolution show widespread epigenomic differences. Nature. 462, 315– 322 (2009). 19829295 PMC2857523 source
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- cites [13] Lister R, Global epigenomic reconfiguration during mammalian brain development. Science. 341, 1237905 (2013). 23828890 PMC3785061 source
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- Premisecitation
CA sites are the most frequently methylated non-CG sites.
“CA sites are the most frequently methylated non-CG sites (13).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Lister R, Global epigenomic reconfiguration during mammalian brain development. Science. 341, 1237905 (2013). 23828890 PMC3785061 source
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- Premisecitation
In PMD-associated tissues such as cultured fibroblasts, genes located in PMDs are both lowly expressed and methylated.
“In PMD associated tissues such cultured fibroblasts, genes located in PMDs are both lowly expressed and methylated (3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Lister R, Human DNA methylomes at base resolution show widespread epigenomic differences. Nature. 462, 315– 322 (2009). 19829295 PMC2857523 source
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- Interpretationreasoning
The correlation between intragenic 5mC and transcription appears to be tissue specific.
“However, this correlation appears to be tissue specific.”
Quote in the paperSubstantial claim - Premisecitation
Establishment of intragenic 5mC is a controlled process carried out by DNMT3B and the co-transcriptionally regulated histone modification H3K36me.
“Studies with mESC and a heterologous yeast system found that the establishment of intragenic 5mC is a controlled process carried out by de novo DNA methyltransferase DNMT3B and co-transcriptionally regulated histone modification H3K36me (32, 33).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [32] Baubec T, Genomic profiling of DNA methyltransferases reveals a role for DNMT3B in genic methylation. Nature. 520, 243– 247 (2015). 25607372 source
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- cites [33] Morselli M, In vivo targeting of de novo DNA methylation by histone modifications in yeast and mouse. Elife. 4, e06205 (2015). 25848745 PMC4412109 source
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- Interpretationreasoning
In vitro studies show that the majority of transcription factor-DNA interactions can be modulated by 5mC.
“Although in vitro studies reveal that the majority of TF-DNA interaction can be modulated by 5mC, it is still uncertain how broadly this mechanism contributes to in vivo gene regulatory programs.”
Quote in the paperSubstantial claim - Premisecitation
For certain tissue types, active genes are more methylated than repressed genes.
“Indeed, for certain tissue types, active genes are more methylated than repressed genes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Jones PA, Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat. Rev. Genet 13, 484– 492 (2012). 22641018 source
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- Premisecitation
Promoter 5mC is negatively correlated with transcription.
“Although promoter 5mC shows a negative correlation with transcription, early studies of intragenic 5mC function posited the opposite finding (2).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Jones PA, Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat. Rev. Genet 13, 484– 492 (2012). 22641018 source
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- Premisecitation
Analysis of whole-genome methylomes of 39 primary tumors in mouse and human shows pronounced loss of methylation at nuclear lamina-associated partially methylated domains located in late-replicating parts of the genome.
“Analysis of the whole genome methylomes of 39 primary tumors in mouse and human shows a pronounced loss of methylation at nuclear lamina associated partially methylated domains (PMDs) located in late replicating parts of the genome (44).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Zhou W, DNA methylation loss in late-replicating domains is linked to mitotic cell division. Nat. Genet 50, 591– 602 (2018). 29610480 PMC5893360 source
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- Premisecitation
Functional analyses of 5mC have traditionally relied on pharmacological or genetic perturbations that affect 5mC levels genome-wide.
“Functional analyses of 5mC have traditionally relied on pharmacological or genetic perturbations that affect 5mC levels genome-wide (30, 32).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [30] Maurano MT, Role of DNA Methylation in Modulating Transcription Factor Occupancy. Cell Rep. 12, 1184– 1195 (2015). 26257180 source
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- cites [32] Baubec T, Genomic profiling of DNA methyltransferases reveals a role for DNMT3B in genic methylation. Nature. 520, 243– 247 (2015). 25607372 source
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- Premisecitation
Local amplification of regulator concentration through protein or RNA scaffolding has been incorporated into epigenetic editing to enhance the on-target to off-target ratio.
“Local amplification of regulator concentration through protein (SunTag) or RNA scaffolding (e.g. Casilio) has been incorporated into epigenetic editing to enhance the on/off target ratio (Fig. 3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Pflueger C, A modular dCas9-SunTag DNMT3A epigenome editing system overcomes pervasive off-target activity of direct fusion dCas9-DNMT3A constructs. Genome Res. (2018), doi: 10.1101/gr.233049.117. PMC6071642 29907613 source
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- Premisecitation
Bulk tissue analyses cannot easily distinguish molecular signatures contributed by distinct cell populations.
“Although computational approaches for tissue deconvolution are improving (48), bulk tissue analyses cannot easily distinguish molecular signatures contributed by distinct cell populations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Jaffe AE, Irizarry RA, Accounting for cellular heterogeneity is critical in epigenome-wide association studies. Genome Biol. 15, R31 (2014). 24495553 PMC4053810 source
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- Premisecitation
dCas9-TET and dCas9-DNMT3a fusions have been shown to induce effective remodeling of 5mC.
“dCas9-TET and dCas9-DNMT3a fusions have been shown to induce effective remodeling of 5mC (Fig. 3) (56).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56] Liu XS, Editing DNA Methylation in the Mammalian Genome. Cell. 167, 233– 247.e17 (2016). 27662091 PMC5062609 source
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- Premisecitation
Despite global DNA hypomethylation, a limited number of genomic loci gain DNA methylation during aging and in cancer.
“Despite global DNA hypomethylation, a limited number of genomic loci gain DNA methylation during aging and in cancer.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Schlesinger Y, Polycomb-mediated methylation on Lys27 of histone H3 pre-marks genes for de novo methylation in cancer. Nat. Genet 39, 232– 236 (2007). 17200670 source
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- Premisenone given
Unlike single-cell RNA-seq, single-nuclei methylome data allowed prediction of cell-type-specific regulatory elements using 5mC signatures.
“Unlike single cell RNA-seq which captures transcriptomic information, single nuclei methylome data allowed prediction of cell-type specific regulatory elements with 5mC signatures.”
Quote in the paperNot a substantial claim - Interpretationcitation
Modern genome engineering tools have opened the possibility for precise site-specific intervention that would potentially avoid pleiotropic effects of global 5mC disruption.
“Modern genome engineering tools have opened up the possibility for a more precise site specific intervention that would potentially avoid pleiotropic effects of global 5mC disruption (55).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [55] Pulecio J, Verma N, Mejía-Ramírez E, Huangfu D, Raya A, CRISPR/Cas9-Based Engineering of the Epigenome. Cell Stem Cell. 21, 431– 447 (2017). 28985525 PMC6205890 source
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- Premisecitation
5hmC is abundant in the brain, reaching up to 20% of 5mCG plus 5hmCG.
“This is also supported by the abundance of 5hmC in the brain (up to 20% of 5mCG+5hmCG) (13, 40).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [13] Lister R, Global epigenomic reconfiguration during mammalian brain development. Science. 341, 1237905 (2013). 23828890 PMC3785061 source
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- cites [40] Mellén M, Ayata P, Heintz N, 5-hydroxymethylcytosine accumulation in postmitotic neurons results in functional demethylation of expressed genes. Proc. Natl. Acad. Sci. U. S. A 114, E7812– E7821 (2017). 28847947 PMC5604027 source
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- Premisecitation
Single-cell multi-omics approaches have been developed that can analyze both transcriptomic and epigenomic profiles from a single cell.
“Building upon single-cell methylome methods, single cell multi-omics approaches have been developed that are capable of analyzing both the transcriptomic and epigenomic profiles from a single cell (49).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49] Kelsey G, Stegle O, Reik W, Single-cell epigenomics: Recording the past and predicting the future. Science. 358, 69– 75 (2017). 28983045 source
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- Interpretationcitation
The similarity between tumor and placenta methylomes suggests that tumorigenesis may represent a latent developmental epigenomic program.
“The similarity between tumor and placenta methylomes suggests that tumorigenesis may represent a latent developmental epigenomic program.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Smith ZD, Epigenetic restriction of extraembryonic lineages mirrors the somatic transition to cancer. Nature. 549, 543– 547 (2017). 28959968 PMC5789792 source
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- Premisecitation
Datasets containing thousands of single-cell methylomes, such as neuron classification in human and mouse frontal cortices, have been generated with snmC-seq or sci-MET.
“Datasets containing thousands of single-cell methylomes, such as neuron classification in the human and mouse frontal cortices, have been generated with a well-based nuclei collection method, snmC-seq, or a combinatorial indexing-based method, sci-MET (10, 50).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [10] Luo C, Single Cell Methylomes Identify Neuronal Subtypes and Regulatory Elements in Mammalian Cortex. Science (2017). PMC5570439 28798132 source
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- cites [50] Mulqueen RM, Highly scalable generation of DNA methylation profiles in single cells. Nat. Biotechnol 36, 428– 431 (2018). 29644997 PMC5938134 source
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- Premisecitation
Sequencing-based approaches have found 5hmC only in CG dinucleotides in mouse embryonic stem cells and brain cortical tissue.
“Although sequencing-based approaches have only found 5hmC in CG dinucleotides in mESC and brain cortical tissue (24), 5hmCH accounted for 38% of 5mCH+5hmCH in cerebellar granule cells, suggesting that 5mCH is also targeted for TET mediated methylation turnover (40).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Wu H, Zhang Y, Reversing DNA methylation: mechanisms, genomics, and biological functions. Cell. 156, 45– 68 (2014). 24439369 PMC3938284 source
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- Premisereasoning
Under pathological conditions, global loss of DNA methylation is often associated with an aberrant transcriptional outcome.
“The situation is, however, different under pathological conditions where the global loss of DNA methylation is often associated with an aberrant transcriptional outcome.”
Quote in the paperSubstantial claim - Premisecitation
A fluorescent in vivo reporter of genomic methylation enables microscopic examination of 5mC status at a single genomic locus with cellular resolution.
“In addition to sequencing-based single-cell methylome strategies, a fluorescent in vivo reporter of genomic methylation (RGM) enables microscopic examination of the 5mC status at a single genomic locus with cellular resolution (53).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] Stelzer Y, Shivalila CS, Soldner F, Markoulaki S, Jaenisch R, Tracing dynamic changes of DNA methylation at single-cell resolution. Cell. 163, 218– 229 (2015). 26406378 PMC4583717 source
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- Interpretationreasoning
Studies have already identified 5mC heterogeneity both across and within cell types, providing information not accessible with bulk-level analyses.
“Although single-cell methods are just starting to be applied to analyzing 5mC functions, studies have already identified 5mC heterogeneity both across or within cell types, providing information that cannot be accessed with bulk level analyses.”
Quote in the paperSubstantial claim - Premisecitation
Inserting a fluorescent protein gene reporter into a methylation-sensitive locus provides a direct readout of methylation status in living cells or a whole animal.
“In an alternative strategy, the fluorescent protein gene reporter can be directly inserted into the methylation sensitive locus which provides a direct readout of the methylation status in living cells or a whole animal (54).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Van de Pette M, Visualizing Changes in Cdkn1c Expression Links Early-Life Adversity to Imprint Mis-regulation in Adults. Cell Rep. 18, 1090– 1099 (2017). 28147266 PMC5300902 source
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- Premisecitation
A recent methylation editing study demonstrated that deposition of 5mC at thousands of gene promoters led to only moderate transcriptional alterations.
“For example, a recent methylation editing study demonstrating that deposition of 5mC at thousands of gene promoters led to only moderate transcriptional alterations (65, 66).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [65] Ford EE, Grimmer MR, Stolzenburg S, Bogdanovic O, Frequent lack of repressive capacity of promoter DNA methylation identified through genome-wide epigenomic manipulation. bioRxiv (2017) (available at http://www.biorxiv.org/content/early/2017/08/17/170506.abstract). source
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- cites [66] Korthauer K, Irizarry RA, Genome-wide repressive capacity of promoter DNA methylation is revealed through epigenomic manipulation. bioRxiv (2018) (available at https://www.biorxiv.org/content/early/2018/08/01/381145.abstract). source
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- Premisecitation
Scaffolding allows multiple copies of epigenetic effectors to be tethered to a genomic site, providing more robust on-target modulation and reduced non-specific effects.
“This scaffold allows multiple copies of epigenetic effectors (e.g. DNMT3A catalytic domain) to be tethered to a genomic site, providing more robust on-target modulation and reduced non-specific effects (58).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Pflueger C, A modular dCas9-SunTag DNMT3A epigenome editing system overcomes pervasive off-target activity of direct fusion dCas9-DNMT3A constructs. Genome Res. (2018), doi: 10.1101/gr.233049.117. PMC6071642 29907613 source
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- Premisecitation
The genome-wide distribution of 6mA is species-specific, with no conserved pattern across the eukaryotic species analyzed to date.
“Interestingly, the genome-wide distribution of 6mA is species-specific with lack of a conserved pattern across the eukaryotic species analyzed to date (59).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] Luo G-Z, He C, DNA N6-methyladenine in metazoans: functional epigenetic mark or bystander ? Nat. Struct. Mol. Biol 24, 503– 506 (2017). 28586322 source
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- Interpretationreasoning
Reported differences in 6mA distribution between mouse and human may represent tissue-specific patterns rather than species differences, because the tissues used were unique to each species.
“Reported difference in 6mA distribution between mouse and human may represent tissue specific patterns rather than species differences, since the tissues used for the mouse and human studies were unique to each species (mESC and blood DNA, respectively (60, 61)).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [60] Xiao C-L, N6-Methyladenine DNA Modification in the Human Genome. Mol. Cell 71, 306– 318.e7 (2018). 30017583 source
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- cites [61] Wu TP, DNA methylation on N(6)-adenine in mammalian embryonic stem cells. Nature. 532, 329– 333 (2016). 27027282 PMC4977844 source
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- Premisecitation
Animal models such as mouse fear conditioning suggest a role for 5mC in regulating learning and memory.
“Animal models, such as mouse fear conditioning, suggests a role for 5mC in regulating learning and memory (62).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] Day JJ, Kennedy AJ, Sweatt JD, DNA methylation and its implications and accessibility for neuropsychiatric therapeutics. Annu. Rev. Pharmacol. Toxicol 55, 591– 611 (2015). 25340930 PMC4768530 source
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- Premisecitation
Compelling multimodal evidence has been presented for the existence of 6mA in mouse and human genomes.
“Compelling multimodal evidence has been presented for the existence of 6mA in mouse and human genomes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] Luo G-Z, He C, DNA N6-methyladenine in metazoans: functional epigenetic mark or bystander ? Nat. Struct. Mol. Biol 24, 503– 506 (2017). 28586322 source
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- Premisecitation
These findings are supported by the identification of both a methyltransferase and a demethylase for deposition and removal of 6mA.
“These findings are supported by the identification of both methyltransferase and demethylase for deposition and removal of 6mA, respectively (60, 61).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [60] Xiao C-L, N6-Methyladenine DNA Modification in the Human Genome. Mol. Cell 71, 306– 318.e7 (2018). 30017583 source
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- cites [61] Wu TP, DNA methylation on N(6)-adenine in mammalian embryonic stem cells. Nature. 532, 329– 333 (2016). 27027282 PMC4977844 source
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- Interpretationreasoning
In mitotically inactive mammalian tissues, moderate changes in 5mC dynamics likely reflect cellular heterogeneity either across cell types or within a cell type.
“In mitotically inactive mammalian tissues, moderate changes in 5mC dynamics likely reflect cellular heterogeneity either across cell types or within a cell type.”
Quote in the paperNot a substantial claim
- May combine two claims. 41
- Classified as probably not a substantial claim. 2
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PremisecitationAn intact CTCF motif is sufficient and necessary for local methylation depletion.
“The presence of an intact CTCF motif is sufficient and necessary for local methylation depletion.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Stadler MB, DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature. 480, 490– 495 (2011). 22170606
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PremisecitationLocal depletion of 5mC is a reliable marker of promoters and enhancers, with promoter CGI CpGs often below 10% methylation and distal enhancers commonly 10% to 50% methylated.
“In fact, local 5mC depletion is a reliable signature of promoters and enhancers: CpG sites in promoter associated CGIs are often less than 10% methylated, while distal regulatory sequences such as enhancers are commonly marked by levels of 5mC ranging from 10% to 50% (6).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Stadler MB, DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature. 480, 490– 495 (2011). 22170606
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InterpretationreasoningIn differentiated tissues, 5mC patterns are highly specific and are established mainly by site-specific remodeling at regulatory sequences.
“In summary, 5mC patterns in differentiated tissues are highly specific and established primarily by site specific remodeling at regulatory sequences.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationDaily profiling of mouse late fetal development showed that 5mC loss and gain are temporally uncoupled across all tissues analyzed, with enhancers mainly losing 5mC during fetal development and most de novo 5mC occurring after birth.
“A study profiling 5mC dynamics during mouse late fetal development with daily sampling (12) revealed a temporal uncoupling of the loss and gain of 5mC during the development of all tissues analyzed: enhancers predominantly lose 5mC during fetal development whereas most de novo 5mC occurs after birth (Fig. 1) (12).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] He Y, Hariharan M, Gorkin DU, Dickel DE, Luo C, Spatiotemporal DNA Methylome Dynamics of the Developing Mammalian Fetus. bioRxiv (2017) (available at http://www.biorxiv.org/content/early/2017/07/21/166744.abstract). PMC7398276 32728242
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PremisecitationForced expression of ASCL1 directly converts fibroblasts to post-mitotic neurons and reduces 5mC at most of its binding sites.
“One example is ASCL1 whose forced expression directly converts fibroblasts to post-mitotic neurons and leads to reduced 5mC at most of its binding sites (22, 23).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [22] Wapinski OL, Hierarchical mechanisms for direct reprogramming of fibroblasts to neurons. Cell. 155, 621– 635 (2013). 24243019 PMC3871197
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- cites [23] Luo C, Global DNA methylation remodeling during direct reprogramming of fibroblasts to neurons. bioRxiv (2018), p. 371427. PMC6333439 30644360
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PremisecitationTissue- or cell-type-specific regulatory sequences can be identified by differentially methylated regions and are enriched in recognition sites for tissue-specific transcription factors.
“Tissue or cell type-specific regulatory sequences can be effectively identified by DMRs and are enriched in recognition sites for TFs with tissue specific functions (4, 5, 21).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [4] Schultz MD, Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523, 212– 216 (2015). 26030523 PMC4499021
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- cites [5] Ziller MJ, Charting a dynamic DNA methylation landscape of the human genome. Nature. 500, 477– 481 (2013). 23925113 PMC3821869
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- cites [21] Hon GC, Epigenetic memory at embryonic enhancers identified in DNA methylation maps from adult mouse tissues. Nat. Genet 45, 1198– 1206 (2013). 23995138 PMC4095776
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PremisecitationDifferentially methylated regions are mostly distal to transcription start sites and overlap enhancers.
“DMRs are predominantly distal to transcriptional start sites and overlap with enhancers.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [4] Schultz MD, Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523, 212– 216 (2015). 26030523 PMC4499021
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- cites [5] Ziller MJ, Charting a dynamic DNA methylation landscape of the human genome. Nature. 500, 477– 481 (2013). 23925113 PMC3821869
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PremisecitationGenome-wide changes in DNA methylation patterns occur during preimplantation mammalian development and in the early embryonic germ line.
“Contrary to what is observed in somatic cells, genome-wide changes of DNA methylation patterns occur during preimplantation mammalian development and in the early embryonic germ line (Fig. 1) (14–17).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [14] Smith ZD, A unique regulatory phase of DNA methylation in the early mammalian embryo. Nature. 484, 339– 344 (2012). 22456710 PMC3331945
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- cites [15] Smith ZD, DNA methylation dynamics of the human preimplantation embryo. Nature. 511, 611– 615 (2014). 25079558 PMC4178976
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- cites [16] Seisenberger S, The dynamics of genome-wide DNA methylation reprogramming in mouse primordial germ cells. Mol. Cell 48, 849– 862 (2012). 23219530 PMC3533687
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- cites [17] Hill PWS, Epigenetic reprogramming enables the transition from primordial germ cell to gonocyte. Nature. 555, 392– 396 (2018). 29513657 PMC5856367
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PremisecitationIn mouse brain cortex, synchronized de novo 5mC occurs during the second postnatal week, mainly at enhancers that were active embryonically.
“In mouse brain cortex, synchronized de novo 5mC is observed during the second postnatal week, primarily targeting enhancers that are embryonically active (12).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] He Y, Hariharan M, Gorkin DU, Dickel DE, Luo C, Spatiotemporal DNA Methylome Dynamics of the Developing Mammalian Fetus. bioRxiv (2017) (available at http://www.biorxiv.org/content/early/2017/07/21/166744.abstract). PMC7398276 32728242
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InterpretationreasoningThese global methylation changes are coordinated with genome-wide histone modification changes and reflect global epigenetic reprogramming rather than locus-specific transcriptional regulation.
“However, these global methylation changes are coordinated with genome-wide changes in histone modifications and reflect a global reprogramming of epigenetic information rather than locus specific transcriptional regulation.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIntragenic 5mCH is positively correlated with gene expression in human embryonic stem cells but negatively correlated with gene expression in brain.
“Intragenic 5mCH is positively correlated with gene expression in hESC, but is negatively correlated with gene expression in the brain (13).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Lister R, Global epigenomic reconfiguration during mammalian brain development. Science. 341, 1237905 (2013). 23828890 PMC3785061
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PremisecitationMethyl-SELEX concluded that the binding of about 60% of transcription factors was influenced by 5mC, with comparable numbers enhanced or inhibited.
“Pull down experiments of methylated and unmethylated random sequences using a recombinant TF protein followed by sequencing (methyl-SELEX) concluded that the binding of approximately 60% of TFs was influenced by 5mC, with the binding of comparable numbers of TFs enhanced or inhibited by 5mC (28).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Yin Y, Impact of cytosine methylation on DNA binding specificities of human transcription factors. Science. 356 (2017), doi: 10.1126/science.aaj2239. PMC8009048 28473536
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PremisecitationMECP2 is a methyl-CpG binding protein, and mutations in MECP2 are linked to Rett syndrome, an autism spectrum disorder.
“MECP2 is a methyl-CpG binding protein and mutations in MECP2 have been linked to Rett syndrome - an autism spectrum disorder (41).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] Guy J, Cheval H, Selfridge J, Bird A, The role of MeCP2 in the brain. Annu. Rev. Cell Dev. Biol 27, 631– 652 (2011). 21721946
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PremisecitationDNMT3B preferentially binds H3K36me and deposits 5mC within gene bodies.
“Specifically, DNMT3B preferentially binds to H3K36me and deposits 5mC within gene bodies.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [32] Baubec T, Genomic profiling of DNA methyltransferases reveals a role for DNMT3B in genic methylation. Nature. 520, 243– 247 (2015). 25607372
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- cites [33] Morselli M, In vivo targeting of de novo DNA methylation by histone modifications in yeast and mouse. Elife. 4, e06205 (2015). 25848745 PMC4412109
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Premisecitation5hmC is generated by TET family proteins and is an intermediate product of 5mC demethylation mediated by TET together with TDG-mediated base excision repair.
“5hmC is generated by the Ten Eleven Translocation methylcytosine dioxygenase (TET) family of proteins and is an intermediate product of 5mC demethylation mediated by TET in combination with thymine DNA glycosylase (TDG)-mediated base excision repair (24).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Wu H, Zhang Y, Reversing DNA methylation: mechanisms, genomics, and biological functions. Cell. 156, 45– 68 (2014). 24439369 PMC3938284
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PremisecitationIn both cases, hypermethylation of the binding site prevents CTCF binding and disrupts chromatin topological domains, leading to ectopic enhancer-promoter interactions.
“In both cases, hypermethylation of the binding site prevents CTCF binding and results in the disruption of chromatin topological domains leading to ectopic enhancer-promoter interactions.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] Bell AC, Felsenfeld G, Methylation of a CTCF-dependent boundary controls imprinted expression of the Igf2 gene. Nature. 405, 482– 485 (2000). 10839546 source
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- cites [9] Flavahan WA, Insulator dysfunction and oncogene activation in IDH mutant gliomas. Nature. 529, 110– 114 (2016). 26700815 PMC4831574 source
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PremisecitationAberrant gain of 5mC at the CTCF binding site is observed in the Igf2/H19 locus in Beckwith-Wiedemann syndrome and in the PDGFRA locus of IDH mutant gliomas.
“In one well characterized example, aberrant gain of 5mC at the binding site of insulator protein CCCTC-binding factor (CTCF) is observed in the Igf2/H19 locus in Beckwith-Wiedemann (fetal overgrowth) syndrome, and in the PDGFRA locus of IDH mutant gliomas (8, 9).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] Bell AC, Felsenfeld G, Methylation of a CTCF-dependent boundary controls imprinted expression of the Igf2 gene. Nature. 405, 482– 485 (2000). 10839546 source
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- cites [9] Flavahan WA, Insulator dysfunction and oncogene activation in IDH mutant gliomas. Nature. 529, 110– 114 (2016). 26700815 PMC4831574 source
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InterpretationcitationMany signature genes of human tissues overlap with intragenic large differentially methylated regions, suggesting that intragenic 5mC may regulate tissue-specific gene expression.
“Many signature genes of human tissues overlap with intragenic large-DMRs, suggesting that intragenic 5mC may regulate tissue specific gene expression (4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Schultz MD, Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523, 212– 216 (2015). 26030523 PMC4499021
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PremisecitationDAP-seq of over 500 Arabidopsis transcription factors found that more than 75% are sensitive to 5mC, suggesting that regulation of transcription factor binding by 5mC is conserved across animals and plants.
“Similarly, DNA affinity purification sequencing (DAP-seq) of over 500 Arabidopsis (plant) TFs determined that >75% of TFs are sensitive to 5mC (29), suggesting the regulation of TF binding by 5mC is conserved across animal and plant kingdoms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] O’Malley RC, Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape. Cell. 165, 1280– 1292 (2016). 27203113 PMC4907330
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PremisecitationAt many developmental genes enriched in H3K27me3, intragenic 5mC antagonizes polycomb repression and is positively correlated with transcription.
“At many developmental genes enriched in H3K27me3, intragenic 5mC antagonize polycomb repression and thus is positively correlated with transcription (34).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Wu H, Dnmt3a-dependent nonpromoter DNA methylation facilitates transcription of neurogenic genes. Science. 329, 444– 448 (2010). 20651149 PMC3539760
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InterpretationcitationIntragenic 5mC, including 5mCH, performs fine-tuning and supportive roles in transcription regulation but is functionally important, as suggested by disease links to intragenic 5mCA and MECP2 repression.
“In summary, intragenic 5mC (including 5mCH) performs fine-tuning and supportive roles in transcription regulation but is nevertheless functionally important as suggested by the disease links to intragenic 5mCA and MECP2 repression (39).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Gabel HW, Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522, 89– 93 (2015). 25762136 PMC4480648
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InterpretationcitationThis loss of DNA methylation during aging may be due to insufficient maintenance of DNA methylation across an increasing number of cell divisions, linking similar methylation changes to both cancer and aging.
“This loss in DNA methylation observed during aging may be due to the insufficient maintenance of DNA methylation across an increasing number of cell divisions (44), which ties similar methylation changes to both cancer and in aging (44, 45).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [44] Zhou W, DNA methylation loss in late-replicating domains is linked to mitotic cell division. Nat. Genet 50, 591– 602 (2018). 29610480 PMC5893360
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- cites [45] Horvath S, Raj K, DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat. Rev. Genet 19, 371– 384 (2018). 29643443 source
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PremisecitationGenome-wide perturbation strategies are associated with pleiotropic phenotypes and inevitably confound interpretation of results.
“Although discoveries regarding 5mC function and regulation have been made with genome-wide perturbation strategies, these methods are associated with pleiotropic phenotypes and inevitably confound the interpretation of results (35).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Neri F, Intragenic DNA methylation prevents spurious transcription initiation. Nature. 543, 72– 77 (2017). 28225755 source
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PremisecitationBoth 5mCA and 5hmCA can be bound by MECP2.
“Both 5mCA and 5hmCA can be bound by MECP2 (39, 40), whereas the oxidation of 5mCG to 5hmCG abolishes the MECP2 interaction and disrupts the function of 5mCG as a repressive mark (Fig. 2B).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [39] Gabel HW, Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522, 89– 93 (2015). 25762136 PMC4480648
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- cites [40] Mellén M, Ayata P, Heintz N, 5-hydroxymethylcytosine accumulation in postmitotic neurons results in functional demethylation of expressed genes. Proc. Natl. Acad. Sci. U. S. A 114, E7812– E7821 (2017). 28847947 PMC5604027
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InterpretationreasoningImprovements in single-cell methylome approaches now provide the power to distinguish cellular heterogeneity within a tissue or cell population and to identify epigenome fluctuations in a given cell type over time.
“Improvements in single cell methylome approaches now provide the power to distinguish cellular heterogeneity within a tissues/ cell population and identify epigenome fluctuations in a given cell type over time.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationThe majority of 5hmC can be relatively stable, arguing against 5hmC being solely a short-lived demethylation intermediate and potentially indicating an epigenetic or regulatory role.
“Studies also suggest that the majority of 5hmC can be relatively stable arguing against 5hmC solely as a short lived demethylation intermediate and potentially pointing towards epigenetic/regulatory role for this modification (43).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Bachman M, 5-Hydroxymethylcytosine is a predominantly stable DNA modification. Nat. Chem 6, 1049– 1055 (2014). 25411882 PMC4382525
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PremisecitationTumor methylomes are characterized by global hypomethylation and localized hypermethylation at specific CpG islands, many associated with tumor suppressor genes.
“Tumor methylomes are characterized by global hypomethylation and localized hypermethylation at specific CGIs, many of them associated with tumor suppressor genes (2).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Jones PA, Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat. Rev. Genet 13, 484– 492 (2012). 22641018 source
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PremisecitationStudies using these techniques have identified cell-to-cell epigenetic variation in early mouse and human embryos, demonstrating the enhanced resolution enabled by multi-omic single-cell methods.
“Studies using these techniques have identified cell-to-cell epigenetic variation in early mouse and human embryos (51, 52), demonstrating the enhancement of resolution enabled by multi-omic single-cell methods.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [51] Li L, Single-cell multi-omics sequencing of human early embryos. Nat. Cell Biol. (2018), doi: 10.1038/s41556-018-0123-2. 29915357
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- cites [52] Rulands S, Genome-Scale Oscillations in DNA Methylation during Exit from Pluripotency. Cell Syst. 7, 63– 76.e12 (2018). 30031774 PMC6066359
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Premisecitation5hmCH accounted for 38% of 5mCH plus 5hmCH in cerebellar granule cells, suggesting that 5mCH is also targeted for TET-mediated methylation turnover.
“Although sequencing-based approaches have only found 5hmC in CG dinucleotides in mESC and brain cortical tissue (24), 5hmCH accounted for 38% of 5mCH+5hmCH in cerebellar granule cells, suggesting that 5mCH is also targeted for TET mediated methylation turnover (40).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Mellén M, Ayata P, Heintz N, 5-hydroxymethylcytosine accumulation in postmitotic neurons results in functional demethylation of expressed genes. Proc. Natl. Acad. Sci. U. S. A 114, E7812– E7821 (2017). 28847947 PMC5604027
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PremisecitationLimited PMD hypomethylation can be detected in healthy tissue and increases with age.
“Intriguingly, limited PMD hypomethylation can be detected in healthy tissue and increases with age (44).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Zhou W, DNA methylation loss in late-replicating domains is linked to mitotic cell division. Nat. Genet 50, 591– 602 (2018). 29610480 PMC5893360
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Premisecitation5hmCG and 5hmCA interact with MECP2 differently and lead to opposite gene regulatory outputs.
“Interestingly, 5hmCG and 5hmCA (the main context of non-CG methylation) interact with MECP2 differently and lead to opposite gene regulatory outputs.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [39] Gabel HW, Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522, 89– 93 (2015). 25762136 PMC4480648
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- cites [40] Mellén M, Ayata P, Heintz N, 5-hydroxymethylcytosine accumulation in postmitotic neurons results in functional demethylation of expressed genes. Proc. Natl. Acad. Sci. U. S. A 114, E7812– E7821 (2017). 28847947 PMC5604027
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InterpretationcitationSimilar gains of methylation at distinct polycomb-repressed sequences have been observed, although to a lesser degree, during placental development, suggesting an interplay between DNA methylation and polycomb-regulated epigenetic systems.
“Similar gains of methylation at distinct polycomb repressed sequences has also been observed, although to a lesser degree, during placental development (46), suggesting an interesting and mechanistically important interplay between DNA methylation and polycomb regulated epigenetic systems.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Smith ZD, Epigenetic restriction of extraembryonic lineages mirrors the somatic transition to cancer. Nature. 549, 543– 547 (2017). 28959968 PMC5789792
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Interpretationnone givenWhen DNA methylation is globally reduced as part of a normal developmental program, no aberrant transcriptional activation is observed, suggesting an alternative or compensatory gene expression regulatory mechanism.
“In instances where DNA methylation is globally reduced as a part of normal developmental program, no aberrant transcriptional activation is observed, suggesting an alternative or compensatory gene expression regulatory mechanism.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAn increase in PMD abundance is found during early placental development, along with CGI hypermethylation comparable to that observed in cancers.
“An increase in PMD abundance is also found during the early development of placenta, along with comparable CGI hypermethylation as also observed in cancers (46).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Smith ZD, Epigenetic restriction of extraembryonic lineages mirrors the somatic transition to cancer. Nature. 549, 543– 547 (2017). 28959968 PMC5789792
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PremisecitationOff-target de novo methylation activity can be widespread across the entire genome and is not easily detected with steady-state 5mC measurements.
“However, off-target de novo methylation activity can be widespread across the entire genome (57), and not easily detected with steady-state 5mC measurements.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57] Galonska C, Genome-wide tracking of dCas9-methyltransferase footprints. Nat. Commun 9, 597 (2018). 29426832 PMC5807365
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InterpretationcitationTETs are likely to play important roles in local 5mC dynamics at regulatory sequences because TET binding is enriched at promoters and enhancers and found in complexes with transcription factors.
“However, TETs are likely to play important roles in local 5mC dynamics at the regulatory sequences as TET binding is enriched in promoters and enhancers and found in complexes with transcription factors suggesting involvement in 5mC dynamics following TF binding (24).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Wu H, Zhang Y, Reversing DNA methylation: mechanisms, genomics, and biological functions. Cell. 156, 45– 68 (2014). 24439369 PMC3938284
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PremisecitationOxidation of 5mCG to 5hmCG abolishes MECP2 interaction and disrupts the function of 5mCG as a repressive mark.
“Both 5mCA and 5hmCA can be bound by MECP2 (39, 40), whereas the oxidation of 5mCG to 5hmCG abolishes the MECP2 interaction and disrupts the function of 5mCG as a repressive mark (Fig. 2B).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [39] Gabel HW, Disruption of DNA-methylation-dependent long gene repression in Rett syndrome. Nature. 522, 89– 93 (2015). 25762136 PMC4480648
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- cites [40] Mellén M, Ayata P, Heintz N, 5-hydroxymethylcytosine accumulation in postmitotic neurons results in functional demethylation of expressed genes. Proc. Natl. Acad. Sci. U. S. A 114, E7812– E7821 (2017). 28847947 PMC5604027
Not checked in the free run.
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PremisecitationThese loci are sequences transcriptionally repressed by the polycomb system and lack DNA methylation under normal physiological conditions.
“Interestingly, these are sequences that are transcriptionally repressed by the polycomb system (and lack DNA methylation) under normal physiological conditions (47).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Schlesinger Y, Polycomb-mediated methylation on Lys27 of histone H3 pre-marks genes for de novo methylation in cancer. Nat. Genet 39, 232– 236 (2007). 17200670
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May combine two claims.
InterpretationcitationAlthough TET enzymes are highly expressed during developmental periods of global DNA demethylation, their role in the observed methylation dynamics appears auxiliary and mainly antagonizes de novo methylation.
“Although TET enzymes are highly expressed during the developmental periods of global DNA demethylation, their role in the observed methylation dynamics seems auxiliary and primarily antagonizes the activity of de novo methylation (17, 42).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [17] Hill PWS, Epigenetic reprogramming enables the transition from primordial germ cell to gonocyte. Nature. 555, 392– 396 (2018). 29513657 PMC5856367
Not checked in the free run.
- cites [42] Amouroux R, De novo DNA methylation drives 5hmC accumulation in mouse zygotes. Nat. Cell Biol. 18, 225– 233 (2016). 26751286 PMC4765106
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May combine two claims.
PremisecitationMeta-analysis of 5mC microarray data identified a small number, about 300 to 400, of CpG sites associated with age across multiple tissues and the existence of a methylome-based clock.
“In addition, meta-analysis of 5mC microarray data has identified a small number (~300–400) of CpG sites that are associated with age across multiple tissues and the existence of an methylome-based clock (45).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Horvath S, Raj K, DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat. Rev. Genet 19, 371– 384 (2018). 29643443 source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEpigenome-wide association studies have associated 5mC signatures with many diseases.
“Epigenome-wide association studies have associated 5mC signatures with many diseases (63).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] Paul DS, Beck S, Advances in epigenome-wide association studies for common diseases. Trends Mol. Med 20, 541– 543 (2014). 25092140 PMC4186777
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Classified as probably not a substantial claim. May combine two claims.
Premisenone givenMany studies use correlative analysis and report only moderate 5mC differences detected from complex tissues.
“However, many studies use correlative analysis and report only moderate 5mC differences detected from complex tissues.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The classical model of 5mC regulation as a stable repressive regulator of promoter activity is the prevailing baseline that the review's new findings revise.
“The classical model of cytosine DNA methylation (5mC) regulation depicts this covalent modification as a stable repressive regulator of promoter activity.”
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?
Dysregulation of the various methylation pathways is linked to many diseases.
“The importance of the various methylation pathways is highlighted by the fact that their dysregulation is linked to many diseases 1-5 .”
From The roles of DNA, RNA and histone methylation in ageing and cancer (2019) · cites this paper as [3]
Cites
Functions of DNA methylation: islands, start sites, gene bodies and beyond
Jones, P. A. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3230 · Cited by 6,061 · see citing works
Human DNA methylomes at base resolution show widespread epigenomic differences
Lister, R., Pelizzola, M., Dowen, R. H., Hawkins, R. D., Hon, G., Tonti-Filippini, J., Nery, J. R., Lee, L., Ye, Z., Ngo, Q.-M., et al. (2009) · Nature · doi:10.1038/nature08514 · Cited by 4,673 · see citing works
Self-citationMaster Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes
Whyte, W. A., Orlando, D. A., Hnisz, D., Abraham, B. J., Lin, C. Y., Kagey, M. H., Rahl, P. B., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.035 · Cited by 4,143 · see citing works
DNA methylation-based biomarkers and the epigenetic clock theory of ageing
Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0004-3 · Cited by 3,095 · see citing works
DNA methylation: roles in mammalian development
Smith, Z. D., & Meissner, A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3354 · Cited by 3,045 · see citing works
Regev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C., Birney, E., Bodenmiller, B., Campbell, P., Carninci, P., Clatworthy, M., et al. (2017) · eLife · doi:10.7554/elife.27041 · Cited by 2,232 · see citing works
Function and information content of DNA methylation
Schübeler, D. (2015) · Nature · doi:10.1038/nature14192 · Cited by 2,060 · see citing works
Global epigenomic reconfiguration during mammalian brain development
Lister, R., Mukamel, E. A., Nery, J. R., Urich, M., Puddifoot, C. A., Johnson, N. D., Lucero, J., Huang, Y., Dwork, A. J., Schultz, M. D., et al. (2013) · Science · doi:10.1126/science.1237905 · Cited by 1,830 · see citing works
Self-citationMethylation of a CTCF-dependent boundary controls imprinted expression of the Igf2 gene
Bell, A. C., & Felsenfeld, G. (2000) · Nature · doi:10.1038/35013100 · Cited by 1,746 · see citing works
Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape
O’Malley, R. C., Huang, S. C., Song, L., Lewsey, M. G., Bartlett, A., Nery, J. R., Galli, M., Gallavotti, A., & Ecker, J. R. (2016) · Cell · doi:10.1016/j.cell.2016.04.038 · Cited by 1,579 · see citing works
Self-citationRegev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C. O., Birney, E., Bodenmiller, B., & al, E. (2017) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-162597 · Cited by 1,457 · see citing works
DNA-binding factors shape the mouse methylome at distal regulatory regions
Stadler, M. B., Murr, R., Burger, L., Ivanek, R., Lienert, F., Schöler, A., Nimwegen, E. V., Wirbelauer, C., Oakeley, E. J., Gaidatzis, D., et al. (2011) · Nature · doi:10.1038/nature10716 · Cited by 1,383 · see citing works
Charting a dynamic DNA methylation landscape of the human genome
Ziller, M. J., Gu, H., Müller, F., Donaghey, J., Tsai, L. T.-Y., Kohlbacher, O., De Jager, P. L., Rosen, E. D., Bennett, D. A., Bernstein, B. E., et al. (2013) · Nature · doi:10.1038/nature12433 · Cited by 1,357 · see citing works
Insulator dysfunction and oncogene activation in IDH mutant gliomas
Flavahan, W. A., Drier, Y., Liau, B. B., Gillespie, S. M., Venteicher, A. S., Stemmer-Rachamimov, A. O., Suvà, M. L., & Bernstein, B. E. (2016) · Nature · doi:10.1038/nature16490 · Cited by 1,288 · see citing works
Impact of cytosine methylation on DNA binding specificities of human transcription factors
Yin, Y., Morgunova, E., Jolma, A., Kaasinen, E., Sahu, B., Khund-Sayeed, S., Das, P. K., Kivioja, T., Dave, K., Zhong, F., et al. (2017) · Science · doi:10.1126/science.aaj2239 · Cited by 1,257 · see citing works
Schlesinger, Y., Straussman, R., Keshet, I., Farkash, S., Hecht, M., Zimmerman, J., Eden, E., Yakhini, Z., Ben-Shushan, E., Reubinoff, B. E., et al. (2007) · Nature Genetics · doi:10.1038/ng1950 · Cited by 1,226 · see citing works
Editing DNA Methylation in the Mammalian Genome
Liu, X. S., Wu, H., Ji, X., Stelzer, Y., Wu, X., Czauderna, S., Shu, J., Dadon, D., Young, R. A., & Jaenisch, R. (2016) · Cell · doi:10.1016/j.cell.2016.08.056 · Cited by 1,224 · see citing works
Accounting for cellular heterogeneity is critical in epigenome-wide association studies
Jaffe, A. E., & Irizarry, R. A. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r31 · Cited by 1,067 · see citing works
Reversing DNA Methylation: Mechanisms, Genomics, and Biological Functions
Wu, H., & Zhang, Y. (2014) · Cell · doi:10.1016/j.cell.2013.12.019 · Cited by 1,065 · see citing works
The Dynamics of Genome-wide DNA Methylation Reprogramming in Mouse Primordial Germ Cells
Seisenberger, S., Andrews, S., Krueger, F., Arand, J., Walter, J., Santos, F., Popp, C., Thienpont, B., Dean, W., & Reik, W. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.11.001 · Cited by 973 · see citing works
A unique regulatory phase of DNA methylation in the early mammalian embryo
Smith, Z. D., Chan, M. M., Mikkelsen, T. S., Gu, H., Gnirke, A., Regev, A., & Meissner, A. (2012) · Nature · doi:10.1038/nature10960 · Cited by 964 · see citing works
Intragenic DNA methylation prevents spurious transcription initiation
Neri, F., Rapelli, S., Krepelova, A., Incarnato, D., Parlato, C., Basile, G., Maldotti, M., Anselmi, F., & Oliviero, S. (2017) · Nature · doi:10.1038/nature21373 · Cited by 739 · see citing works
Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain
Guo, J. U., Su, Y., Shin, J. H., Shin, J., Li, H., Xie, B., Zhong, C., Hu, S., Le, T., Fan, G., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3607 · Cited by 714 · see citing works
Genomic profiling of DNA methyltransferases reveals a role for DNMT3B in genic methylation
Baubec, T., Colombo, D. F., Wirbelauer, C., Schmidt, J., Burger, L., Krebs, A. R., Akalin, A., & Schübeler, D. (2015) · Nature · doi:10.1038/nature14176 · Cited by 705 · see citing works
Human body epigenome maps reveal noncanonical DNA methylation variation
Schultz, M. D., He, Y., Whitaker, J. W., Hariharan, M., Mukamel, E. A., Leung, D., Rajagopal, N., Nery, J. R., Urich, M. A., Chen, H., et al. (2015) · Nature · doi:10.1038/nature14465 · Cited by 690 · see citing works
Self-citationTranscription factors as readers and effectors of DNA methylation
Zhu, H., Wang, G., & Qian, J. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.83 · Cited by 649 · see citing works
DNA methylation on N6-adenine in mammalian embryonic stem cells
Wu, T. P., Wang, T., Seetin, M. G., Lai, Y., Zhu, S., Lin, K., Liu, Y., Byrum, S. D., Mackintosh, S. G., Zhong, M., et al. (2016) · Nature · doi:10.1038/nature17640 · Cited by 648 · see citing works
Hierarchical Mechanisms for Direct Reprogramming of Fibroblasts to Neurons
Wapinski, O. L., Vierbuchen, T., Qu, K., Lee, Q. Y., Chanda, S., Fuentes, D. R., Giresi, P. G., Ng, Y. H., Marro, S., Neff, N. F., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.028 · Cited by 627 · see citing works
Dnmt3a-Dependent Nonpromoter DNA Methylation Facilitates Transcription of Neurogenic Genes
Wu, H., Coskun, V., Tao, J., Xie, W., Ge, W., Yoshikawa, K., Li, E., Zhang, Y., & Sun, Y. E. (2010) · Science · doi:10.1126/science.1190485 · Cited by 604 · see citing works
DNA methylation dynamics of the human preimplantation embryo
Smith, Z. D., Chan, M. M., Humm, K. C., Karnik, R., Mekhoubad, S., Regev, A., Eggan, K. C., & Meissner, A. (2014) · Nature · doi:10.1038/nature13581 · Cited by 580 · see citing works
Disruption of DNA-methylation-dependent long gene repression in Rett syndrome
Gabel, H. W., Kinde, B., Stroud, H., Gilbert, C. S., Harmin, D. A., Kastan, N. R., Hemberg, M., Ebert, D. H., & Greenberg, M. E. (2015) · Nature · doi:10.1038/nature14319 · Cited by 569 · see citing works
5-Hydroxymethylcytosine is a predominantly stable DNA modification
Bachman, M., Uribe‐Lewis, S., Yang, X., Williams, M., Murrell, A., & Balasubramanian, S. (2014) · Nature Chemistry · doi:10.1038/nchem.2064 · Cited by 554 · see citing works
Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex
Luo, C., Keown, C. L., Kurihara, L., Zhou, J., He, Y., Li, J., Castanon, R., Lucero, J., Nery, J. R., Sandoval, J. P., et al. (2017) · Science · doi:10.1126/science.aan3351 · Cited by 545 · see citing works
Self-citationMethyl-cpG-binding domain proteins: readers of the epigenome
Du, Q., Luu, P.-L., Stirzaker, C., & Clark, S. J. (2015) · Epigenomics · doi:10.2217/epi.15.39 · Cited by 544 · see citing works
N6-Methyladenine DNA Modification in the Human Genome
Xiao, C.-L., Zhu, S., He, M., Chen, D., Zhang, Q., Chen, Y., Yu, G., Liu, J., Xie, S.-Q., Luo, F., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.015 · Cited by 531 · see citing works
Competition between DNA methylation and transcription factors determines binding of NRF1
Domcke, S., Bardet, A. F., Adrian Ginno, P., Hartl, D., Burger, L., & Schübeler, D. (2015) · Nature · doi:10.1038/nature16462 · Cited by 508 · see citing works
Epigenetic memory at embryonic enhancers identified in DNA methylation maps from adult mouse tissues
Hon, G. C., Rajagopal, N., Shen, Y., McCleary, D. F., Yue, F., Dang, M. D., & Ren, B. (2013) · Nature Genetics · doi:10.1038/ng.2746 · Cited by 457 · see citing works
Single-cell epigenomics: Recording the past and predicting the future
Kelsey, G., Stegle, O., & Reik, W. (2017) · Science · doi:10.1126/science.aan6826 · Cited by 415 · see citing works
The Role of MeCP2 in the Brain
Guy, J., Cheval, H., Selfridge, J., & Bird, A. P. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154121 · Cited by 414 · see citing works
DNA methylation loss in late-replicating domains is linked to mitotic cell division
Zhou, W., Dinh, H. Q., Ramjan, Z., Weisenberger, D. J., Nicolet, C. M., Shen, H., Laird, P. W., & Berman, B. P. (2018) · Nature Genetics · doi:10.1038/s41588-018-0073-4 · Cited by 405 · see citing works
Structural insight into autoinhibition and histone H3-induced activation of DNMT3A
Guo, X., Wang, L., Li, J., Ding, Z., Xiao, J., Yin, X., He, S., Shi, P., Dong, L., Li, G., et al. (2015) · Nature · doi:10.1038/nature13899 · Cited by 361 · see citing works
DNA methylation presents distinct binding sites for human transcription factors
Hu, S., Wan, J., Su, Y., Song, Q., Zeng, Y., Nguyen, H. N., Shin, J., Cox, E., Rho, H. S., Woodard, C., et al. (2013) · eLife · doi:10.7554/elife.00726 · Cited by 349 · see citing works
Chromatin and Transcription Transitions of Mammalian Adult Germline Stem Cells and Spermatogenesis
Hammoud, S. S., Low, D. H. P., Yi, C., Carrell, D. T., Guccione, E., & Cairns, B. R. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.04.006 · Cited by 346 · see citing works
Chen, L., Chen, K., Lavery, L. A., Baker, S. A., Shaw, C. A., Li, W., & Zoghbi, H. Y. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1505909112 · Cited by 301 · see citing works
CRISPR/Cas9-based engineering of the epigenome
Pulecio, J., Verma, N., Mejía-Ramírez, E., Huangfu, D., & Raya, A. (2017) · Cell Stem Cell · doi:10.1016/j.stem.2017.09.006 · Cited by 300 · see citing works
Highly scalable generation of DNA methylation profiles in single cells
Mulqueen, R. M., Pokholok, D., Norberg, S. J., Torkenczy, K. A., Fields, A. J., Sun, D., Sinnamon, J. R., Shendure, J., Trapnell, C., O'Roak, B. J., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4112 · Cited by 289 · see citing works
Role of DNA Methylation in Modulating Transcription Factor Occupancy
Maurano, M. T., Wang, H., John, S., Shafer, A., Canfield, T., Lee, K., & Stamatoyannopoulos, J. A. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.07.024 · Cited by 281 · see citing works
Epigenetic reprogramming enables the transition from primordial germ cell to gonocyte
Hill, P. W. S., Leitch, H. G., Requena, C. E., Sun, Z., Amouroux, R., Roman-Trufero, M., Borkowska, M., Terragni, J., Vaisvila, R., Linnett, S., et al. (2018) · Nature · doi:10.1038/nature25964 · Cited by 272 · see citing works
Structural Basis for the Versatile and Methylation-Dependent Binding of CTCF to DNA
Hashimoto, H., Wang, D., Horton, J. R., Zhang, X., Corces, V. G., & Cheng, X. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.05.004 · Cited by 268 · see citing works
De novo DNA methylation drives 5hmC accumulation in mouse zygotes
Amouroux, R., Nashun, B., Shirane, K., Nakagawa, S., Hill, P. W. S., D’Souza, Z., Nakayama, M., Matsuda, M., Turp, A., Ndjetehe, E., et al. (2016) · Nature Cell Biology · doi:10.1038/ncb3296 · Cited by 233 · see citing works
Self-citationSingle-cell multi-omics sequencing of human early embryos
Li, L., Guo, F., Gao, Y., Ren, Y., Yuan, P., Yan, L., Li, R., Lian, Y., Li, J., Hu, B., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0123-2 · Cited by 209 · see citing works
Epigenetic restriction of extraembryonic lineages mirrors the somatic transition to cancer
Smith, Z. D., Shi, J., Gu, H., Donaghey, J., Clement, K., Cacchiarelli, D., Gnirke, A., Michor, F., & Meissner, A. (2017) · Nature · doi:10.1038/nature23891 · Cited by 201 · see citing works
Pflueger, C., Tan, D., Swain, T., Nguyen, T., Pflueger, J., Nefzger, C., Polo, J. M., Ford, E., & Lister, R. (2018) · Genome Research · doi:10.1101/gr.233049.117 · Cited by 188 · see citing works
In vivo targeting of de novo DNA methylation by histone modifications in yeast and mouse
Morselli, M., Pastor, W. A., Montanini, B., Nee, K., Ferrari, R., Fu, K., Bonora, G., Rubbi, L., Clark, A. T., Ottonello, S., et al. (2015) · eLife · doi:10.7554/elife.06205 · Cited by 167 · see citing works
Spatiotemporal DNA methylome dynamics of the developing mouse fetus
He, Y., Hariharan, M., Gorkin, D. U., Dickel, D. E., Luo, C., Castanon, R., Nery, J. R., Lee, A. Y., Zhao, Y., Huang, H., et al. (2020) · Nature · doi:10.1038/s41586-020-2119-x · Cited by 162 · see citing works
Self-citationGenome-wide tracking of dCas9-methyltransferase footprints
Galonska, C., Charlton, J., Mattei, A. L., Donaghey, J., Clement, K., Gu, H., Mohammad, A. W., Stamenova, E. K., Cacchiarelli, D., Klages, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02708-5 · Cited by 159 · see citing works
Mellén, M., Ayata, P., & Heintz, N. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708044114 · Cited by 151 · see citing works
Tracing dynamic changes of DNA methylation at single cell resolution
Stelzer, Y., Shivalila, C. S., Soldner, F., Markoulaki, S., & Jaenisch, R. (2015) · Cell · doi:10.1016/j.cell.2015.08.046 · Cited by 141 · see citing works
Gene body DNA methylation conspires with H3K36me3 to preclude aberrant transcription
Teissandier, A., & Bourc’his, D. (2017) · The EMBO Journal · doi:10.15252/embj.201796812 · Cited by 89 · see citing works
DNA N6-methyladenine in metazoans: functional epigenetic mark or bystander?
Luo, G.-Z., & He, C. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3412 · Cited by 87 · see citing works
Hot topics in epigenetic mechanisms of aging: 2011
Berdasco, M., & Esteller, M. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00806.x · Cited by 86 · see citing works
Genome-Scale Oscillations in DNA Methylation during Exit from Pluripotency
Rulands, S., Lee, H. J., Clark, S. J., Angermueller, C., Smallwood, S. A., Krueger, F., Mohammed, H., Dean, W., Nichols, J., Rugg‐Gunn, P. J., et al. (2018) · Cell Systems · doi:10.1016/j.cels.2018.06.012 · Cited by 83 · see citing works
DNA Methylation and Its Implications and Accessibility for Neuropsychiatric Therapeutics
Day, J. J., Kennedy, A. J., & Sweatt, J. D. (2015) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010814-124527 · Cited by 78 · see citing works
Global DNA methylation remodeling during direct reprogramming of fibroblasts to neurons
Luo, C., Lee, Q. Y., Wapinski, O., Castanon, R., Nery, J. R., Mall, M., Kareta, M. S., Cullen, S. M., Goodell, M. A., Chang, H. Y., et al. (2019) · eLife · doi:10.7554/elife.40197 · Cited by 76 · see citing works
Advances in epigenome-wide association studies for common diseases
Paul, D. S., & Beck, S. (2014) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.07.002 · Cited by 62 · see citing works
Van de Pette, M., Abbas, A., Feytout, A., McNamara, G., Bruno, L., To, W. K., Dimond, A., Sardini, A., Webster, Z., McGinty, J., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.01.010 · Cited by 55 · see citing works
Ford, E., Grimmer, M. R., Stolzenburg, S., Bogdanovic, O., Mendoza, A. D., Farnham, P. J., Blancafort, P., & Lister, R. (2017) · doi:10.1101/170506 · Cited by 45 · see citing works
Spatiotemporal DNA Methylome Dynamics of the Developing Mammalian FetusPreprint
He, Y., Hariharan, M., Gorkin, D. U., et al. (2017) · bioRxiv · doi:10.1101/166744 · Cited by 22 · see citing works
Korthauer, K., & Irizarry, R. A. (2018) · doi:10.1101/381145 · Cited by 14 · see citing works
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DNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025 · see citing works
DNA methylation: a historical perspective
Mattei, A. L., Bailly, N., & Meissner, A. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.03.010 · Cited by 876 · see citing works
The roles of DNA, RNA and histone methylation in ageing and cancer
Michalak, E. M., Burr, M. L., Bannister, A. J., & Dawson, M. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0143-1 · Cited by 549 · see citing works
Molecularly defined and spatially resolved cell atlas of the whole mouse brain
Zhang, M., Pan, X., Jung, W., Halpern, A. R., Eichhorn, S. W., Lei, Z., Cohen, L., Smith, K. A., Tasic, B., Yao, Z., et al. (2023) · Nature · doi:10.1038/s41586-023-06808-9 · Cited by 506 · see citing works
Mechanisms of early placental development in mouse and humans
Hemberger, M., Hanna, C. W., & Dean, W. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0169-4 · Cited by 492 · see citing works
Sensitivity of transcription factors to DNA methylation
Héberlé, É., & Bardet, A. F. (2019) · Essays in Biochemistry · doi:10.1042/ebc20190033 · Cited by 347 · see citing works
Signaling pathways and therapeutic interventions in gastric cancer
Lei, Z., Teng, Q., Qin, T. L., Chen, W., Xie, Y., Wu, K., Zeng, Q., Zeng, L., Pan, Y., Chen, Z., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01190-w · Cited by 325 · see citing works
DNA methylation atlas of the mouse brain at single-cell resolution
Liu, H., Zhou, J., Tian, W., Luo, C., Bartlett, A., Aldridge, A., Lucero, J., Osteen, J. K., Nery, J. R., Chen, H., et al. (2021) · Nature · doi:10.1038/s41586-020-03182-8 · Cited by 289 · see citing works
Self-citationPromoter DNA Hypermethylation and Paradoxical Gene Activation
Smith, J., Sen, S., Weeks, R. J., Eccles, M. R., & Chatterjee, A. (2020) · Trends in cancer · doi:10.1016/j.trecan.2020.02.007 · Cited by 268 · see citing works
DNA Methylation: Shared and Divergent Features across Eukaryotes
Schmitz, R. J., Lewis, Z., & Goll, M. G. (2019) · Trends in Genetics · doi:10.1016/j.tig.2019.07.007 · Cited by 262 · see citing works
Characterizing cis-regulatory elements using single-cell epigenomics
Preissl, S., Gaulton, K. J., & Ren, B. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-022-00509-1 · Cited by 251 · see citing works
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Yadav, T., Quivy, J., & Almouzni, G. (2018) · Science · doi:10.1126/science.aat8950 · Cited by 217 · see citing works
Interneuron Types as Attractors and Controllers
Fishell, G., & Kepecs, Á. (2019) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070918-050421 · Cited by 197 · see citing works
Taylor, D. L., Jackson, A., Narisu, N., Hemani, G., Erdos, M. R., Chines, P. S., Swift, A. J., Idol, J., Didion, J. P., Welch, R., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814263116 · Cited by 167 · see citing works
Epigenetic inheritance and reproductive mode in plants and animals
Anastasiadi, D., Venney, C. J., Bernatchez, L., & Wellenreuther, M. (2021) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2021.08.006 · Cited by 162 · see citing works
Muyle, A., Seymour, D. K., Lv, Y., Hüettel, B., & Gaut, B. S. (2022) · Genome Biology and Evolution · doi:10.1093/gbe/evac038 · Cited by 149 · see citing works
A comprehensive epigenome atlas reveals DNA methylation regulating skeletal muscle development
Yang, Y., Fan, X., Yan, J., Chen, M., Zhu, M., Tang, Y., Liu, S., & Tang, Z. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1203 · Cited by 142 · see citing works
Ethical implications of epigenetics in the era of personalized medicine
Santaló, J., & Berdasco, M. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01263-1 · Cited by 71 · see citing works
Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain
Liu, H., Zeng, Q., Zhou, J., Bartlett, A., Wang, B.-A., Berube, P., Tian, W., Kenworthy, M., Altshul, J., Nery, J. R., et al. (2023) · Nature · doi:10.1038/s41586-023-06805-y · Cited by 139 · see citing works
Self-citationThe emergence of the brain non-CpG methylation system in vertebrates
de Mendoza, A., Poppe, D., Buckberry, S., Pflueger, J., Albertin, C. B., Daish, T., Bertrand, S., de la Calle‐Mustienes, E., Gómez-Skármeta, J. L., Nery, J. R., et al. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-020-01371-2 · Cited by 130 · see citing works
Self-citationDura, M., Teissandier, A., Armand, M., Barau, J., Lapoujade, C., Fouchet, P., Bonneville, L., Schulz, M., Weber, M., Baudrin, L. G., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01040-z · Cited by 131 · see citing works
Epigenetic Age and the Risk of Incident Atrial Fibrillation
Roberts, J. D., Vittinghoff, E., Lu, A. T.-H., Alonso, Á., Wang, B., Sitlani, C. M., Mohammadi-Shemirani, P., Fornage, M., Kornej, J., Brody, J. A., et al. (2021) · Circulation · doi:10.1161/circulationaha.121.056456 · Cited by 121 · see citing works
Staying true to yourself: mechanisms of DNA methylation maintenance in mammals
Petryk, N., Bultmann, S., Bartke, T., & Defossez, P. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1154 · Cited by 120 · see citing works
DNA methylation dynamics and dysregulation delineated by high-throughput profiling in the mouse
Zhou, W., Hinoue, T., Barnes, B., Mitchell, O. D., Iqbal, W., Lee, S. M., Foy, K. K., Lee, K., Moyer, E. J., VanderArk, A., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100144 · Cited by 115 · see citing works
Applications of Single-Cell DNA Sequencing
Evrony, G. D., Hinch, A. G., & Luo, C. (2021) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-111320-090436 · Cited by 120 · see citing works
Self-citationKlümper, N., Ralser, D. J., Bawden, E., Landsberg, J., Zarbl, R., Kristiansen, G., Toma, M. I., Ritter, M., Hölzel, M., Ellinger, J., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-000552 · Cited by 116 · see citing works
Origins of human disease: the chrono-epigenetic perspective
Oh, E. S., & Petronis, A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00348-6 · Cited by 108 · see citing works
Placental superoxide dismutase 3 mediates benefits of maternal exercise on offspring health
Kusuyama, J., Alves-Wagner, A. B., Conlin, R. H., Makarewicz, N., Albertson, B. G., Prince, N. B., Kobayashi, S., Kozuka, C., Leth‐Møller, M., Bjerre, M., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.03.004 · Cited by 114 · see citing works
Liu, Z., Zhou, T., & Gao, D. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.994471 · Cited by 115 · see citing works
A comparison of methods for detecting DNA methylation from long-read sequencing of human genomes
Sigurpalsdottir, B. D., Stefánsson, Ó. A., Holley, G., Beyter, D., Zink, F., Hardarson, M. T., Sverrisson, S. Þ., Kristinsdottir, N., Magnúsdóttir, D. N., Magnússon, Ó. Þ., et al. (2024) · Genome biology · doi:10.1186/s13059-024-03207-9 · Cited by 112 · see citing works
QSER1 protects DNA methylation valleys from de novo methylation
Dixon, G., Pan, H., Yang, D., Rosen, B. P., Jashari, T., Verma, N., Pulecio, J., Caspi, I., Lee, K., Stransky, S., et al. (2021) · Science · doi:10.1126/science.abd0875 · Cited by 108 · see citing works
Single-molecule footprinting identifies context-dependent regulation of enhancers by DNA methylation
Kreibich, E., Kleinendorst, R., Barzaghi, G., Kaspar, S., & Krebs, A. R. (2023) · Molecular Cell · doi:10.1016/j.molcel.2023.01.017 · Cited by 97 · see citing works
Role of Methylation in Pro- and Anti-Cancer Immunity
Mehdi, A., & Rabbani, S. A. (2021) · Cancers · doi:10.3390/cancers13030545 · Cited by 102 · see citing works
Stable unmethylated DNA demarcates expressed genes and their cis-regulatory space in plant genomes
Crisp, P. A., Marand, A. P., Noshay, J. M., Zhou, P., Lu, Z., Schmitz, R. J., & Springer, N. M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2010250117 · Cited by 98 · see citing works
The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome
Duran‐Ferrer, M., Clot, G., Nadeu, F., Beekman, R., Baumann, T., Nordlund, J., Marincevic-Zuniga, Y., Lönnerholm, G., Rivas‐Delgado, A., Martín, S., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-00131-2 · Cited by 97 · see citing works
Impacts of Epigenetic Processes on the Health and Productivity of Livestock
Wang, M., & Ibeagha-Awemu, E. M. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.613636 · Cited by 98 · see citing works
The CLASSY family controls tissue-specific DNA methylation patterns in Arabidopsis
Zhou, M., Çoruh, C., Xu, G., Martins, L. M., Bourbousse, C., Lambolez, A., & Law, J. A. (2022) · Nature Communications · doi:10.1038/s41467-021-27690-x · Cited by 98 · see citing works
Therapeutic targeting of DNA methylation alterations in cancer
Lee, A. V., Nestler, K. A., & Chiappinelli, K. B. (2024) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2024.108640 · Cited by 98 · see citing works
Cell-free DNA TAPS provides multimodal information for early cancer detection
Siejka-Zielińska, P., Cheng, J., Jackson, F., Liu, Y., Soonawalla, Z. F., Reddy, S., Silva, M., Puta, L., McCain, M. V., Culver, E. L., et al. (2021) · Science Advances · doi:10.1126/sciadv.abh0534 · Cited by 94 · see citing works
Figueroa-Romero, C., Guo, K., Murdock, B. J., Paez-Colasante, X., Bassis, C. M., Mikhail, K. A., Raue, K. D., Evans, M. C., Taubman, G. F., McDermott, A. J., et al. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.041947 · Cited by 94 · see citing works
Epigenetic modifications in gastric cancer: Focus on DNA methylation
Ebrahimi, V., Soleimanian, A., Ebrahimi, T., Azargun, R., Yazdani, P., Eyvazi, S., & Tarhriz, V. (2020) · Gene · doi:10.1016/j.gene.2020.144577 · Cited by 91 · see citing works
The epigenetic regulatory mechanism of PIWI/piRNAs in human cancers
Zhang, Q., Zhu, Y., Cao, X., Tan, W., Yu, J., Lu, Y., Kang, R., Wang, X., & Li, E. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01749-3 · Cited by 90 · see citing works
Evidence for Prenatal Exposure to Thyroid Disruptors and Adverse Effects on Brain Development
DEMENEIX, B. A. (2019) · European Thyroid Journal · doi:10.1159/000504668 · Cited by 87 · see citing works
Jia, D., Jiang, H., Zhang, Y., Zhang, Y., Qian, L.-L., & Zhang, Y. (2022) · International Journal of Biological Sciences · doi:10.7150/ijbs.68221 · Cited by 87 · see citing works
Epigenetic reprogramming of immune cells in injury, repair, and resolution
Placek, K., Schultze, J. L., & Aschenbrenner, A. C. (2019) · Journal of Clinical Investigation · doi:10.1172/jci124619 · Cited by 83 · see citing works
Understanding the Relevance of DNA Methylation Changes in Immune Differentiation and Disease
de la Calle‐Fabregat, C., Morante-Palacios, O., & Ballestar, E. (2020) · Genes · doi:10.3390/genes11010110 · Cited by 85 · see citing works
Navigating the pitfalls of mapping DNA and RNA modifications
Kong, Y., Mead, E. A., & Fang, G. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-022-00559-5 · Cited by 85 · see citing works
Nature of epigenetic aging from a single-cell perspective
Tarkhov, A. E., Lindstrom-Vautrin, T., Zhang, S., Ying, K., Moqri, M., Zhang, B., Tyshkovskiy, A., Levy, O., & Gladyshev, V. N. (2024) · Nature Aging · doi:10.1038/s43587-024-00616-0 · Cited by 83 · see citing works
Dynamic Enhancer DNA Methylation as Basis for Transcriptional and Cellular Heterogeneity of ESCs
Song, Y., van den Berg, P. R., Markoulaki, S., Soldner, F., Dall’Agnese, A., Henninger, J. E., Drotar, J., Rosenau, N., Cohen, M. A., Young, R. A., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.06.045 · Cited by 84 · see citing works
DNA Methylation: From Cancer Biology to Clinical Perspectives
Chen, C., Wang, Z., Ding, Y., Wang, L., Wang, S., Wang, H., & Qin, Y. (2022) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2712326 · Cited by 83 · see citing works
Xi, Y., Lin, Y., Guo, W., Wang, X., Zhao, H., Miao, C., Liu, W., Liu, Y., Liu, T., Luo, Y., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00873-8 · Cited by 79 · see citing works
Lamina Associated Domains and Gene Regulation in Development and Cancer
Lochs, S. J. A., Kefalopoulou, S., & Kind, J. (2019) · Cells · doi:10.3390/cells8030271 · Cited by 76 · see citing works
Khouider, S., Borges, F., LeBlanc, C., Ungru, A., Schnittger, A., Martienssen, R. A., Colot, V., & Bouyer, D. (2021) · Nature Communications · doi:10.1038/s41467-020-20606-1 · Cited by 76 · see citing works
An overview of DNA methylation-derived trait score methods and applications
Nabais, M. F., Gadd, D. A., Hannon, E. J., Mill, J. S., McRae, A. F., & Wray, N. R. (2023) · Genome biology · doi:10.1186/s13059-023-02855-7 · Cited by 73 · see citing works
Single-Cell Genomics and Epigenomics: Technologies and Applications in Plants
Luo, C. Y., Fernie, A. R., & Yan, J. (2020) · Trends in Plant Science · doi:10.1016/j.tplants.2020.04.016 · Cited by 74 · see citing works
Self-citationExploring the untapped potential of single‐cell and spatial omics in plant biology
Nobori, T. (2025) · New Phytologist · doi:10.1111/nph.70220 · Cited by 78 · see citing works
Perspectives on defining cell types in the brain
Mukamel, E. A., & Ngai, J. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.11.007 · Cited by 56 · see citing works
Detection, Structure and Function of Modified DNA Bases
Hofer, A., Liu, Z. J., & Balasubramanian, S. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b01915 · Cited by 71 · see citing works
Insights into the Role of Oxidative Stress in Ovarian Cancer
Ding, D., Xie, L., Shen, Y., Li, J., Guo, Y., Fu, Y., Liu, F.-Y., & Han, F. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/8388258 · Cited by 72 · see citing works
Smoking in Syria: profile of a developing Arab country.
Maziak, W. (2002) · PubMed · Cited by 70 · see citing works
MPP8 is essential for sustaining self-renewal of ground-state pluripotent stem cells
Müller, I. I., Moroni, A. S., Shlyueva, D., Sahadevan, S., Schoof, E. M., Radzisheuskaya, A., Højfeldt, J. W., Tatar, T., Koche, R. P., Huang, C., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23308-4 · Cited by 66 · see citing works
PRC2-AgeIndex as a universal biomarker of aging and rejuvenation
Moqri, M., Cipriano, A., Simpson, D. J., Rasouli, S., Murty, T., de Jong, T. A., Nachun, D. C., Brandine, G. D. S., Ying, K., Tarkhov, A. E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50098-2 · Cited by 65 · see citing works
Temporally distinct 3D multi-omic dynamics in the developing human brain
Heffel, M. G., Zhou, J., Zhang, Y., Lee, D.-S., Hou, K., Pastor-Alonso, O., Abuhanna, K. D., Galasso, J., Kern, C., Tai, C., et al. (2024) · Nature · doi:10.1038/s41586-024-08030-7 · Cited by 71 · see citing works
Self-citationAbramov, G., Vėlyvis, A., Rennella, E., Wong, L. E., & Kay, L. E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004317117 · Cited by 64 · see citing works
Vitamin D receptor, STAT3, and TET2 cooperate to establish tolerogenesis
Català‐Moll, F., Ferreté-Bonastre, A. G., Godoy‐Tena, G., Morante-Palacios, O., Ciudad, L., Barberà, L., Fondelli, F., Martínez-Cáceres, E. M., Rodríguez‐Ubreva, J., Li, T., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2021.110244 · Cited by 61 · see citing works
The correlation between CpG methylation and gene expression is driven by sequence variants
Stefánsson, Ó. A., Sigurpalsdottir, B. D., Rögnvaldsson, S., Halldorsson, G. H., Juliusson, K., Sveinbjörnsson, G., Gunnarsson, B., Beyter, D., Jónsson, H., Gudjonsson, S. A., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01851-2 · Cited by 67 · see citing works
On the Use of Blood Samples for Measuring DNA Methylation in Ecological Epigenetic Studies
Husby, A. (2020) · Integrative and Comparative Biology · doi:10.1093/icb/icaa123 · Cited by 60 · see citing works
Progress toward liquid biopsies in pediatric solid tumors
Weiser, D. A., West-Szymanski, D. C., Fraint, E., Weiner, S., Rivas, M. A., Zhao, C. W. T., He, C., & Applebaum, M. A. (2019) · Cancer and Metastasis Reviews · doi:10.1007/s10555-019-09825-1 · Cited by 60 · see citing works
Comparison of EM-seq and PBAT methylome library methods for low-input DNA
Han, Y., Zheleznyakova, G. Y., Marincevic-Zuniga, Y., Kakhki, M. P., Raine, A., Needhamsen, M., & Jagodic, M. (2021) · Epigenetics · doi:10.1080/15592294.2021.1997406 · Cited by 59 · see citing works
The influence of DNA methylation on monoallelic expression
da Rocha, S. T., & Gendrel, A.-V. (2019) · Essays in Biochemistry · doi:10.1042/ebc20190034 · Cited by 56 · see citing works
Single-cell epigenetic analysis reveals principles of chromatin states in H3.3-K27M gliomas
Harpaz, N., Mittelman, T., Beresh, O., Griess, O., Furth, N., Salame, T., Oren, R., Fellus‐Alyagor, L., Harmelin, A., Alexandrescu, S., et al. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.05.023 · Cited by 56 · see citing works
Lactylation: The emerging frontier in post-translational modification
Lu, Z., Zheng, X., Shi, M., Yin, Y., Liang, Y., Zou, Z., Ding, C., He, Y., Zhou, Y., & Li, X. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1423213 · Cited by 58 · see citing works
Targeted bisulfite sequencing for biomarker discovery
Morselli, M., Farrell, C. P., Rubbi, L., Fehling, H. L., Henkhaus, R. S., & Pellegrini, M. A. (2020) · Methods · doi:10.1016/j.ymeth.2020.07.006 · Cited by 53 · see citing works
Diversity and dynamics of DNA methylation: epigenomic resources and tools for crop breeding
Kawakatsu, T., & Ecker, J. R. (2019) · Ikushugaku zasshi · doi:10.1270/jsbbs.19005 · Cited by 57 · see citing works
Self-citationEpigenetics of alcohol use disorder—A review of recent advances in DNA methylation profiling
Longley, M. J., Lee, J., Jung, J., & Lohoff, F. W. (2021) · Addiction Biology · doi:10.1111/adb.13006 · Cited by 55 · see citing works
Direct enzymatic sequencing of 5-methylcytosine at single-base resolution
Wang, T., Fowler, J. M., Liu, L., Loo, C. E., Luo, M., Schutsky, E. K., Berríos, K. N., DeNizio, J. E., Dvorak, A., Downey, N., et al. (2023) · Nature Chemical Biology · doi:10.1038/s41589-023-01318-1 · Cited by 56 · see citing works
Chemical tagging for sensitive determination of uridine modifications in RNA
Cheng, Q.-Y., Xiong, J., Ma, C.-J., Dai, Y., Ding, J.-H., Liu, F.-L., Yuan, B., & Feng, Y. (2020) · Chemical Science · doi:10.1039/c9sc05094a · Cited by 56 · see citing works
Joint single-cell profiling resolves 5mC and 5hmC and reveals their distinct gene regulatory effects
Fabyanic, E. B., Hu, P., Qiu, Q., Berríos, K. N., Connolly, D. R., Wang, T., Flournoy, J., Zhou, Z., Kohli, R. M., & Wu, H. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01909-2 · Cited by 53 · see citing works
Advani, J., Mehta, P. A., Hamel, A. R., Mehrotra, S., Kiel, C., Strunz, T., Corso‐Díaz, X., Kwicklis, M., van Asten, F., Ratnapriya, R., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46063-8 · Cited by 55 · see citing works
Wang, Q., Zhang, Q., Huang, Y., & Zhang, J. (2020) · DNA and Cell Biology · doi:10.1089/dna.2020.5624 · Cited by 54 · see citing works
Regulation of Leaf Longevity by DML3-Mediated DNA Demethylation
Yuan, L., Wang, D., Cao, L., Yu, N., Liu, K., Guo, Y., Gan, S., & Chen, L. (2020) · Molecular Plant · doi:10.1016/j.molp.2020.06.006 · Cited by 54 · see citing works
Unravelling the complex genetics of common kidney diseases: from variants to mechanisms
Sullivan, K. M., & Suszták, K. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-020-0298-1 · Cited by 51 · see citing works
Quantification and mapping of DNA modifications
Dai, Y., Yuan, B., & Feng, Y. (2021) · RSC Chemical Biology · doi:10.1039/d1cb00022e · Cited by 53 · see citing works
Chen, M.-Y., Gui, Z., Chen, K., Ding, J.-H., He, J., Xiong, J., Li, J., Wang, J., Yuan, B., & Feng, Y. (2021) · Chinese Chemical Letters · doi:10.1016/j.cclet.2021.08.094 · Cited by 51 · see citing works
Role of primary aging hallmarks in Alzheimer´s disease
Zhao, J., & Huai, J. (2022) · Theranostics · doi:10.7150/thno.79535 · Cited by 53 · see citing works
Micevic, G., Daniels, A., Karlsen, K. F., Park, K., Talty, R., McGeary, M. K., Mirza, H., Blackburn, H. N., Sefik, E., Cheung, J. F., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304319120 · Cited by 49 · see citing works
The 3D Genome Structure of Single Cells
Zhou, T., Zhang, R., & Ma, J. (2021) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-020121-084709 · Cited by 50 · see citing works
Simultaneous single-cell analysis of 5mC and 5hmC with SIMPLE-seq
Bai, D., Zhang, X., Xiang, H., Guo, Z., Zhu, C., & Yi, C. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02148-9 · Cited by 52 · see citing works
Mechanisms of DNA Methyltransferase Recruitment in Mammals
Laisné, M., Gupta, N., Kirsh, O., Pradhan, S., & Defossez, P. (2018) · Genes · doi:10.3390/genes9120617 · Cited by 50 · see citing works
Ramos, P. S., Zimmerman, K. D., Haddad, S., Langefeld, C. D., Medsger, T. A., & Feghali‐Bostwick, C. A. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0652-y · Cited by 49 · see citing works
Phosphorylation of TET2 by AMPK is indispensable in myogenic differentiation
Zhang, T., Guan, X., Choi, U. L., Dong, Q., Lam, M. M. T., Zeng, J., Xiong, J., Wang, X., Poon, T. C. W., Zhang, H., et al. (2019) · Epigenetics & Chromatin · doi:10.1186/s13072-019-0281-x · Cited by 50 · see citing works
Lavery, L. A., Ure, K., Wan, Y., Luo, C., Trostle, A. J., Wang, W., Jin, H., Lopez, J., Lucero, J. D., Durham, M. A., et al. (2020) · eLife · doi:10.7554/elife.52981 · Cited by 51 · see citing works
Self-citationDiverse heterochromatin states restricting cell identity and reprogramming
McCarthy, R. L., Zhang, J., & Zaret, K. S. (2023) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2023.02.007 · Cited by 46 · see citing works
Genetic and Epigenomic Modifiers of Diabetic Neuropathy
Janković, M. Z., Novaković, I. V., Nikolić, D., Maksić, J., Brankovic, S., Petronić, I., Ćirović, D., Dučić, S., Grajić, M., & Bogićević, D. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094887 · Cited by 48 · see citing works
Vaníková, Z., Janoušková, M., Kambová, M., Krásný, L., & Hocek, M. (2019) · Chemical Science · doi:10.1039/c9sc00205g · Cited by 47 · see citing works
Dixon, G., & Matz, M. V. (2022) · BMC Genomics · doi:10.1186/s12864-022-08474-z · Cited by 47 · see citing works
Yang, S., Lee, S., Lee, S., Kim, H., Kim, H., Kim, J., Lim, H., Park, M. J., Cho, H., Yoon, J., et al. (2020) · Annals of Allergy Asthma & Immunology · doi:10.1016/j.anai.2020.09.008 · Cited by 47 · see citing works
DNA Methylation Patterning and the Regulation of Beta Cell Homeostasis
Parveen, N., & Dhawan, S. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.651258 · Cited by 48 · see citing works
Epigenetic regulation of immune function in asthma
Sharma, S., Yang, I. V., & Schwartz, D. A. (2022) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2022.06.002 · Cited by 47 · see citing works
Chen, Y., Hsu, P., Hsiao, C., & Lin, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20122937 · Cited by 48 · see citing works
- Authors
- Luo, C., Hajkova, P., & Ecker, J. R.
- Affiliations
- Salk Institute for Biological Studies (US)
- MRC London Institute of Medical Sciences (LMS), Du Cane Road, W12 0NN London, UK.
- Corresponding author
- Luo, Chongyuan
- Ecker, Joseph R.
- Venue
- Science
- Published
- 2018-09-28
- Volume
- 361
- Issue
- 6409
- Pages
- 1336-1340
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC6197482
- OpenAlex
- W2894083868
- Cited by
- 668
- References
- 68
- Citations by year
- 2026: 46 · 2025: 85 · 2024: 96 · 2023: 88 · 2022: 105 · 2021: 96 · 2020: 86 · 2019: 57 · 2018: 8
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (5R21MH112161, 5R01MH112763, 1U19MH114831)
- National Human Genome Research Institute (5R21HG009274)
- National Institute of Diabetes and Digestive and Kidney Diseases (5U24DK112348)
- National Institute of Environmental Health Sciences (5R01ES025585)
- Medical Research Council (MC_US_A652_5PY70)
- European Research Council (ERC-CoG- 648879 – dynamic modifications)
- 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 › Genetics › Genetic Syndromes and Imprinting
- Keywords
- DNA methylation, 5-methylcytosine, epigenetics, transcriptional regulation, developmental dynamics, tissue-specific methylation, cell type-specific methylation, promoter repression, learning and memory, aging, single-cell epigenomics, epigenome editing
- MeSH terms
- Gene Editing, Aging, Animals, Disease, Humans, Memory, Neoplasms, Transcription Factors, Transcription, Genetic, Gene Expression Regulation, Developmental, DNA Methylation, 5-Methylcytosine, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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