English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Smart-RRBS for single-cell methylome and transcriptome analysis

MPS-Authors
/persons/resource/persons231995

Arczewska,  Aleksandra Alicja
Dept. of Genome Regulation (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons203770

Meissner,  Alexander
Dept. of Genome Regulation (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;
Broad Institute of MIT and Harvard, Cambridge, MA, USA;
Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Gu_2021.pdf
(Publisher version), 5MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Gu, H., Raman, A. T., Wang, X., Gaiti, F., Chaligne, R., Mohammad, A. W., et al. (2021). Smart-RRBS for single-cell methylome and transcriptome analysis. Nature Protocols, 16, 4004-4030. doi:10.1038/s41596-021-00571-9.


Cite as: https://hdl.handle.net/21.11116/0000-0008-FF49-8
Abstract
The integration of DNA methylation and transcriptional state within single cells is of broad interest. Several single-cell dual- and multi-omics approaches have been reported that enable further investigation into cellular heterogeneity, including the discovery and in-depth study of rare cell populations. Such analyses will continue to provide important mechanistic insights into the regulatory consequences of epigenetic modifications. We recently reported a new method for profiling the DNA methylome and transcriptome from the same single cells in a cancer research study. Here, we present details of the protocol and provide guidance on its utility. Our Smart-RRBS (reduced representation bisulfite sequencing) protocol combines Smart-seq2 and RRBS and entails physically separating mRNA from the genomic DNA. It generates paired epigenetic promoter and RNA-expression measurements for ~24% of protein-coding genes in a typical single cell. It also works for micro-dissected tissue samples comprising hundreds of cells. The protocol, excluding flow sorting of cells and sequencing, takes ~3 d to process up to 192 samples manually. It requires basic molecular biology expertise and laboratory equipment, including a PCR workstation with UV sterilization, a DNA fluorometer and a microfluidic electrophoresis system.