ArticlePloS one2010
Expanding the landscape of chromatin modification (CM)-related functional domains and genes in human.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Phase-separating fusion proteins drive cancer by upsetting transcription regulation.Genome biology · 2025Article
- G9a and ZNF644 Physically Associate to Suppress Progenitor Gene Expression during Neurogenesis.Stem cell reports · 2016Article
- Identification of epigenetic factors regulating the mesenchyme to epithelium transition by RNA interference screening in breast cancer cells.BMC cancer · 2016Article
- De novo mutations in schizophrenia implicate chromatin remodeling and support a genetic overlap with autism and intellectual disability.Molecular psychiatry · 2014Article
- Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study.Genes & nutrition · 2014Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Chromatin modification (CM) plays a key role in regulating transcription, DNA replication, repair and recombination. However, our knowledge of these processes in humans remains very limited. Here we use computational approaches to study proteins and functional domains involved in CM in humans. We analyze the abundance and the pair-wise domain-domain co-occurrences of 25 well-documented CM domains in 5 model organisms: yeast, worm, fly, mouse and human. Results show that domains involved in histone methylation, DNA methylation, and histone variants are remarkably expanded in metazoan, reflecting the increased demand for cell type-specific gene regulation. We find that CM domains tend to co-occur with a limited number of partner domains and are hence not promiscuous. This property is exploited to identify 47 potentially novel CM domains, including 24 DNA-binding domains, whose role in CM has received little attention so far. Lastly, we use a consensus Machine Learning approach to predict 379 novel CM genes (coding for 329 proteins) in humans based on domain compositions. Several of these predictions are supported by very recent experimental studies and others are slated for experimental verification. Identification of novel CM genes and domains in humans will aid our understanding of fundamental epigenetic processes that are important for stem cell differentiation and cancer biology. Information on all the candidate CM domains and genes reported here is publicly available.
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Registered trials
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