Browse
Submit Data
Databases
API
Help

Dataset Information

23 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity.

ABSTRACT: We report a single-cell bisulfite sequencing (scBS-seq) method that can be used to accurately measure DNA methylation at up to 48.4% of CpG sites. Embryonic stem cells grown in serum or in 2i medium displayed epigenetic heterogeneity, with '2i-like' cells present in serum culture. Integration of 12 individual mouse oocyte datasets largely recapitulated the whole DNA methylome, which makes scBS-seq a versatile tool to explore DNA methylation in rare cells and heterogeneous populations.

SUBMITTER: Smallwood SA

PROVIDER: S-EPMC4117646 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity.

Smallwood Sébastien A SA Lee Heather J HJ Angermueller Christof C Krueger Felix F Saadeh Heba H Peat Julian J Andrews Simon R SR Stegle Oliver O Reik Wolf W Kelsey Gavin G

Nature methods 20140720 8

We report a single-cell bisulfite sequencing (scBS-seq) method that can be used to accurately measure DNA methylation at up to 48.4% of CpG sites. Embryonic stem cells grown in serum or in 2i medium displayed epigenetic heterogeneity, with '2i-like' cells present in serum culture. Integration of 12 individual mouse oocyte datasets largely recapitulated the whole DNA methylome, which makes scBS-seq a versatile tool to explore DNA methylation in rare cells and heterogeneous populations. ...[more]

PMID: 25042786

Similar Datasets

Single-cell genome-wide bisulfite sequencing uncovers extensive heterogeneity in the mouse liver methylome.

Project description:Transmission fidelity of CpG DNA methylation patterns is not foolproof, with error rates from less than 1 to well over 10 % per CpG site, dependent on preservation of the methylated or unmethylated state and the type of sequence. This suggests a fairly high chance of errors. However, the consequences of such errors in terms of cell-to-cell variation have never been demonstrated by experimentally measuring intra-tissue heterogeneity in an adult organism.We employ single-cell DNA methylomics to analyze heterogeneity of genome-wide 5-methylcytosine (5mC) patterns within mouse liver. Our results indicate a surprisingly high level of heterogeneity, corresponding to an average epivariation frequency of approximately 3.3 %, with regions containing H3K4me1 being the most variable and promoters and CpG islands the most stable. Our data also indicate that the level of 5mC heterogeneity is dependent on genomic features. We find that non-functional sites such as repeat elements and introns are mostly unstable and potentially functional sites such as gene promoters are mostly stable.By employing a protocol for whole-genome bisulfite sequencing of single cells, we show that the liver epigenome is highly unstable with an epivariation frequency in DNA methylation patterns of at least two orders of magnitude higher than somatic mutation frequencies.

| S-EPMC4934005 | biostudies-literature

Single-Cell Whole-Genome Bisulfite Sequencing for Analysis of Epigenetic Heterogeneity

Project description:We report a single-cell whole-genome bisulfite sequencing method (scBS-Seq) capable of accurately measuring DNA methylation at up to 36% of CpGs. We observed that ESCs grown in serum/LIF or 2i/LIF both display epigenetic heterogeneity, with M-bM-^@M-^\2i-likeM-bM-^@M-^] cells present in serum cultures. In silico integration of 12 individual MII oocytes datasetsM-BM- recapitulates the whole DNA methylome, making scBS-Seq a versatile tool to explore DNA methylation in rare cells and heterogeneous populations. scBS-Seq has been performed on mouse MII oocytes for technical validation and on mouse ESCs cultured in 2i/LIF and serum/LIF to investage epigenetic heterogeneity

2014-07-18 | E-GEOD-56879 | biostudies-arrayexpress

Parallel single-cell bisulfite- and RNA-sequencing link transcriptional and epigenetic heterogeneity [Bisulfite-Seq]

Project description:We report scM&T-seq, a method for parallel single-cell genome-wide methylome and transcriptome sequencing, allowing discovery of associations between transcriptional and epigenetic variation. Profiling of 61 mouse embryonic stem cells confirmed known links between DNA methylation and transcription. Notably, the method reveals novel associations between heterogeneous methylation of distal regulatory elements and transcriptional heterogeneity of key pluripotency genes. E14 ES cells were grown in either serum/LIF or 2i culture conditions and separated into single cells. RNA-Seq or Bisulfite-Seq libraries were prepared. This Series includes only the Bisulfite-Seq data. The list of 61 samples that passed QC in both BS-seq and RNA-seq is included in "Supplementary Table 1" of the associated manuscript.

2015-12-24 | E-GEOD-68642 | biostudies-arrayexpress

Single-Cell Whole-Genome Bisulfite Sequencing for Analysis of Epigenetic Heterogeneity

Project description:We report a single-cell whole-genome bisulfite sequencing method (scBS-Seq) capable of accurately measuring DNA methylation at up to 36% of CpGs. We observed that ESCs grown in serum/LIF or 2i/LIF both display epigenetic heterogeneity, with “2i-like” cells present in serum cultures. In silico integration of 12 individual MII oocytes datasets recapitulates the whole DNA methylome, making scBS-Seq a versatile tool to explore DNA methylation in rare cells and heterogeneous populations.

2014-07-18 | GSE56879 | GEO

Parallel single-cell bisulfite- and RNA-sequencing link transcriptional and epigenetic heterogeneity

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-12-24 | E-GEOD-74535 | biostudies-arrayexpress

Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity.

Project description:We report scM&T-seq, a method for parallel single-cell genome-wide methylome and transcriptome sequencing that allows for the discovery of associations between transcriptional and epigenetic variation. Profiling of 61 mouse embryonic stem cells confirmed known links between DNA methylation and transcription. Notably, the method revealed previously unrecognized associations between heterogeneously methylated distal regulatory elements and transcription of key pluripotency genes.

| S-EPMC4770512 | biostudies-literature

Parallel single-cell bisulfite- and RNA-sequencing link transcriptional and epigenetic heterogeneity [RNA-seq]

Project description:We report scM&T-seq, a method for parallel single-cell genome-wide methylome and transcriptome sequencing, allowing discovery of associations between transcriptional and epigenetic variation. Profiling of 61 mouse embryonic stem cells confirmed known links between DNA methylation and transcription. Notably, the method reveals novel associations between heterogeneous methylation of distal regulatory elements and transcriptional heterogeneity of key pluripotency genes. E14 ES cells were grown in either serum/LIF or 2i culture conditions and separated into single cells. RNA-Seq or Bisulfite-Seq libraries were prepared. This Series includes only the RNA-Seq data. The list of 61 samples that passed QC in both BS-seq and RNA-seq is included in "Supplementary Table 1" of the associated manuscript.

2015-12-24 | E-GEOD-74534 | biostudies-arrayexpress

Parallel single-cell bisulfite- and RNA-sequencing link transcriptional and epigenetic heterogeneity [Bisulfite-Seq]

2015-12-24 | GSE68642 | GEO

Genome-wide quantitative analysis of DNA methylation from bisulfite sequencing data.

Project description:UnlabelledHere we present the open-source R/Bioconductor software package BEAT (BS-Seq Epimutation Analysis Toolkit). It implements all bioinformatics steps required for the quantitative high-resolution analysis of DNA methylation patterns from bisulfite sequencing data, including the detection of regional epimutation events, i.e. loss or gain of DNA methylation at CG positions relative to a reference. Using a binomial mixture model, the BEAT package aggregates methylation counts per genomic position, thereby compensating for low coverage, incomplete conversion and sequencing errors.Availability and implementationBEAT is freely available as part of Bioconductor at www.bioconductor.org/packages/devel/bioc/html/BEAT.html. The package is distributed under the GNU Lesser General Public License 3.0.

| S-EPMC4071208 | biostudies-literature

Intra-tumor heterogeneity of MLH1 promoter methylation revealed by deep single molecule bisulfite sequencing.

Project description:A single tumor may contain cells with different somatic mutations. By characterizing this genetic heterogeneity within tumors, advances have been made in the prognosis, treatment and understanding of tumorigenesis. In contrast, the extent of epigenetic intra-tumor heterogeneity and how it influences tumor biology is under-explored. We have characterized epigenetic heterogeneity within individual tumors using next-generation sequencing. We used deep single molecule bisulfite sequencing and sample-specific DNA barcodes to determine the spectrum of MLH1 promoter methylation across an average of 1000 molecules in each of 33 individual samples in parallel, including endometrial cancer, matched blood and normal endometrium. This first glimpse, deep into each tumor, revealed unexpectedly heterogeneous patterns of methylation at the MLH1 promoter within a subset of endometrial tumors. This high-resolution analysis allowed us to measure the clonality of methylation in individual tumors and gain insight into the accumulation of aberrant promoter methylation on both alleles during tumorigenesis.

| S-EPMC2724279 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data