Smart-RRBS for single-cell methylome and transcriptome analysis.

Hongcang Gu, Ayush T Raman, Xiaoxue Wang, Federico Gaiti, Ronan Chaligne, Arman W Mohammad, Aleksandra Arczewska, Zachary D Smith, Dan A Landau, Martin J Aryee, Alexander Meissner, Andreas Gnirke

Journal: Nature protocols 2021;16(8):4004-4030

PMID: 34244697

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.

© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Address: Broad Institute of MIT and Harvard, Cambridge, MA, USA. [email protected].; Zhejiang Sheng Ting Biotechnology Company, Hangzhou, Zhejiang, P. R. China. [email protected].; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Department of Hematology, First Hospital of China Medical University, Shenyang, Liaoning, P. R. China.; New York Genome Center, New York, NY, USA.; Weill Cornell Medicine, New York, NY, USA.; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.; Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA. [email protected].; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA. [email protected].; Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany. [email protected].; Broad Institute of MIT and Harvard, Cambridge, MA, USA. [email protected].
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