Single-Cell Whole-Genome Bisulfite Sequencing for Analysis of Epigenetic Heterogeneity
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.
Provenance — who produced it, who reused it
Linked to 17 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Broad histone H3K4me3 domains in mouse oocytes modulate maternal... 2016 · 662 cites
- Integrative single-cell analysis of transcriptome, DNA methylome... 2018 · 181 cites
- Profiling epigenetic age in single cells 2021 · 151 cites
- Melissa: Bayesian clustering and imputation of single-cell methy... 2019 · 73 cites
10 further papers cite this accession but reuse could not be confirmed.
Deep data QC
insufficient data to scoreStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
The insufficient grade is a transparent weighted average. Each metric below scored from 0–100% against the published methylation thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0