Evidence map›Paper›PMID 21733148›Full record

ArticleGenome biology2011

A comparative analysis of DNA methylation across human embryonic stem cell lines.

Pao-Yang Chen, Suhua Feng, Jong Wha Joanne Joo, Steve E Jacobsen, Matteo Pellegrini

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

52 citing papers in PubMed, 100 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Pao-Yang ChenDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095, USA.
Suhua Feng
Jong Wha Joanne Joo
Steve E Jacobsen
Matteo Pellegrini
University of California, Los Angeles · US

Funding

Genetics of DNA methylation patterning of arabidopsis.R37GM060398 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JACOBSEN, STEVEN E · 2009 to 2018
$3.0M
NIGMS NIH HHS R37 GM060398
6 · The paper itself

Abstract

backgroundWe performed a comparative analysis of the genome-wide DNA methylation profiles from three human embryonic stem cell (HESC) lines. It had previously been shown that HESC lines had significantly higher non-CG methylation than differentiated cells, and we therefore asked whether these sites were conserved across cell lines.

resultsWe find that heavily methylated non-CG sites are strongly conserved, especially when found within the motif TACAG. They are enriched in splice sites and are more methylated than other non-CG sites in genes. We next studied the relationship between allele-specific expression and allele-specific methylation. By combining bisulfite sequencing and whole transcriptome shotgun sequencing (RNA-seq) data we identified 1,020 genes that show allele-specific expression, and 14% of CG sites genome-wide have allele-specific methylation. Finally, we asked whether the methylation state of transcription factor binding sites affects the binding of transcription factors. We identified variations in methylation levels at binding sites and found that for several transcription factors the correlation between the methylation at binding sites and gene expression is generally stronger than in the neighboring sequences.

conclusionsThese results suggest a possible but as yet unknown functional role for the highly methylated conserved non-CG sites in the regulation of HESCs. We also identified a novel set of genes that are likely transcriptionally regulated by methylation in an allele-specific manner. The analysis of transcription factor binding sites suggests that the methylation state of cis-regulatory elements impacts the ability of factors to bind and regulate transcription.

Indexed as

DNA MethylationAllelesBinding SitesCell LineConserved SequenceCpG IslandsEmbryonic Stem CellsGene Expression Regulation, DevelopmentalHumansNucleotide MotifsTranscription FactorsTranscription Factors

Identifiers

PMID21733148
PMCPMC3218824
OpenAlexW2132518397

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.