4.7 Article

Genome-wide base-resolution mapping of DNA methylation in single cells using single-cell bisulfite sequencing( scBS-seq)

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NATURE PROTOCOLS
卷 12, 期 3, 页码 534-U159

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NATURE PUBLISHING GROUP
DOI: 10.1038/nprot.2016.187

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资金

  1. Biotechnology and Biological Sciences Research Council (BBSRC)
  2. Wellcome Trust
  3. EU
  4. EpiGeneSys
  5. BBSRC
  6. Medical Research Council (MRC)
  7. EU Network of Excellence (NoE) EpiGeneSys
  8. Biotechnology and Biological Sciences Research Council [BBS/E/B/000C0400] Funding Source: researchfish
  9. Medical Research Council [MR/K011332/1] Funding Source: researchfish
  10. BBSRC [BBS/E/B/000C0400] Funding Source: UKRI
  11. MRC [MR/K011332/1] Funding Source: UKRI

向作者/读者索取更多资源

DNANA methylation (DNANAme) is an important epigenetic mark in diverse species. Our current understanding of DNANAme is based on measurements from bulk cell samples, which obscures intercellular differences and prevents analyses of rare cell types. Thus, the ability to measure DNANAme in single cells has the potential to make important contributions to the understanding of several key biological processes, such as embryonic development, disease progression and aging. We have recently reported a method for generating genomewide DNANAme maps from single cells, using single-cell bisulfite sequencing (scBS-seq), allowing the quantitative measurement of DNANAme at up to 50% of CpG dinucleotides throughout the mouse genome. Here we present a detailed protocol for scBS-seq that includes our most recent developments to optimize recovery of CpGs, mapping efficiency and success rate; reduce hands-on time; and increase sample throughput with the option of using an automated liquid handler. We provide step-by-step instructions for each stage of the method, comprising cell lysis and bisulfite (BS) conversion, preamplification and adaptor tagging, library amplification, sequencing and, lastly, alignment and methylation calling. An individual with relevant molecular biology expertise can complete library preparation within 3 d. Subsequent computational steps require 1-3 d for someone with bioinformatics expertise.

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