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

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus

PROVIDER: GSE74535 | GEO | 2015/12/24

SECONDARY ACCESSION(S): PRJNA300666

REPOSITORIES: GEO

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

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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

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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.

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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.

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

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

Project description: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.

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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.

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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

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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.

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