Evidence map›Paper›PMID 23064413›Full record

ArticleNature genetics2012

Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues.

Gilad Landan, Netta Mendelson Cohen, Zohar Mukamel, Amir Bar, Alina Molchadsky, Ran Brosh, Shirley Horn-Saban, Daniela Amann Zalcenstein, Naomi Goldfinger, Adi Zundelevich and 3 more

Abstract read
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Article in Nature genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

177 citing papers in PubMed.

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  8. Epigenetic Instability-Based Metrics in Cell-Free DNA for Early Cancer Detection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  12. Review
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117 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Gilad LandanDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Netta Mendelson Cohen
Zohar Mukamel
Amir Bar
Alina Molchadsky
Ran Brosh
Shirley Horn-Saban
Daniela Amann Zalcenstein
Naomi Goldfinger
Adi Zundelevich
Einav Nili Gal-Yam
Varda Rotter
Amos Tanay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation has been comprehensively profiled in normal and cancer cells, but the dynamics that form, maintain and reprogram differentially methylated regions remain enigmatic. Here, we show that methylation patterns within populations of cells from individual somatic tissues are heterogeneous and polymorphic. Using in vitro evolution of immortalized fibroblasts for over 300 generations, we track the dynamics of polymorphic methylation at regions developing significant differential methylation on average. The data indicate that changes in population-averaged methylation occur through a stochastic process that generates a stream of local and uncorrelated methylation aberrations. Despite the stochastic nature of the process, nearly deterministic epigenetic remodeling emerges on average at loci that lose or gain resistance to methylation accumulation. Changes in the susceptibility to methylation accumulation are correlated with changes in histone modification and CTCF occupancy. Characterizing epigenomic polymorphism within cell populations is therefore critical to understanding methylation dynamics in normal and cancer cells.

Indexed as

Epigenesis, GeneticBase SequenceCCCTC-Binding FactorCpG IslandsDNA MethylationFibroblastsGene Expression Regulation, NeoplasticHumansMolecular Sequence DataPolymorphism, GeneticRepressor ProteinsSequence Analysis, DNATumor Cells, CulturedCCCTC-Binding FactorCTCF protein, humanRepressor Proteins

Identifiers

PMID23064413

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.