Literature DB >> 34244697

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

Hongcang Gu1,2, Ayush T Raman3, Xiaoxue Wang4, Federico Gaiti5,6, Ronan Chaligne5,6, Arman W Mohammad3, Aleksandra Arczewska7,8, Zachary D Smith3,7, Dan A Landau5,6, Martin J Aryee3,9,10, Alexander Meissner11,12,13, Andreas Gnirke14.   

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.

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Year:  2021        PMID: 34244697      PMCID: PMC8672372          DOI: 10.1038/s41596-021-00571-9

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  62 in total

1.  Full-length RNA-seq from single cells using Smart-seq2.

Authors:  Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

2.  Comparative Analysis of Single-Cell RNA Sequencing Methods.

Authors:  Christoph Ziegenhain; Beate Vieth; Swati Parekh; Björn Reinius; Amy Guillaumet-Adkins; Martha Smets; Heinrich Leonhardt; Holger Heyn; Ines Hellmann; Wolfgang Enard
Journal:  Mol Cell       Date:  2017-02-16       Impact factor: 17.970

3.  Loss of DNA methyltransferase activity in primed human ES cells triggers increased cell-cell variability and transcriptional repression.

Authors:  Alexander M Tsankov; Marc H Wadsworth; Veronika Akopian; Jocelyn Charlton; Samuel J Allon; Aleksandra Arczewska; Benjamin E Mead; Riley S Drake; Zachary D Smith; Tarjei S Mikkelsen; Alex K Shalek; Alexander Meissner
Journal:  Development       Date:  2019-09-12       Impact factor: 6.868

4.  Genome-wide detection of single-nucleotide and copy-number variations of a single human cell.

Authors:  Chenghang Zong; Sijia Lu; Alec R Chapman; X Sunney Xie
Journal:  Science       Date:  2012-12-21       Impact factor: 47.728

5.  The DNA methylation landscape of human early embryos.

Authors:  Hongshan Guo; Ping Zhu; Liying Yan; Rong Li; Boqiang Hu; Ying Lian; Jie Yan; Xiulian Ren; Shengli Lin; Junsheng Li; Xiaohu Jin; Xiaodan Shi; Ping Liu; Xiaoye Wang; Wei Wang; Yuan Wei; Xianlong Li; Fan Guo; Xinglong Wu; Xiaoying Fan; Jun Yong; Lu Wen; Sunney X Xie; Fuchou Tang; Jie Qiao
Journal:  Nature       Date:  2014-07-23       Impact factor: 49.962

6.  In silico analysis identifies novel restriction enzyme combinations that expand reduced representation bisulfite sequencing CpG coverage.

Authors:  Daniel B Martinez-Arguelles; Sunghoon Lee; Vassilios Papadopoulos
Journal:  BMC Res Notes       Date:  2014-08-15

7.  Simultaneous profiling of transcriptome and DNA methylome from a single cell.

Authors:  Youjin Hu; Kevin Huang; Qin An; Guizhen Du; Ganlu Hu; Jinfeng Xue; Xianmin Zhu; Cun-Yu Wang; Zhigang Xue; Guoping Fan
Journal:  Genome Biol       Date:  2016-05-05       Impact factor: 13.583

8.  3D structures of individual mammalian genomes studied by single-cell Hi-C.

Authors:  Tim J Stevens; David Lando; Srinjan Basu; Liam P Atkinson; Yang Cao; Steven F Lee; Martin Leeb; Kai J Wohlfahrt; Wayne Boucher; Aoife O'Shaughnessy-Kirwan; Julie Cramard; Andre J Faure; Meryem Ralser; Enrique Blanco; Lluis Morey; Miriam Sansó; Matthieu G S Palayret; Ben Lehner; Luciano Di Croce; Anton Wutz; Brian Hendrich; Dave Klenerman; Ernest D Laue
Journal:  Nature       Date:  2017-03-13       Impact factor: 49.962

9.  Zeb2 Regulates Cell Fate at the Exit from Epiblast State in Mouse Embryonic Stem Cells.

Authors:  Agata Stryjewska; Ruben Dries; Tim Pieters; Griet Verstappen; Andrea Conidi; Kathleen Coddens; Annick Francis; Lieve Umans; Wilfred F J van IJcken; Geert Berx; Leo A van Grunsven; Frank G Grosveld; Steven Goossens; Jody J Haigh; Danny Huylebroeck
Journal:  Stem Cells       Date:  2016-11-08       Impact factor: 6.277

10.  Simultaneous profiling of 3D genome structure and DNA methylation in single human cells.

Authors:  Dong-Sung Lee; Chongyuan Luo; Jingtian Zhou; Sahaana Chandran; Angeline Rivkin; Anna Bartlett; Joseph R Nery; Conor Fitzpatrick; Carolyn O'Connor; Jesse R Dixon; Joseph R Ecker
Journal:  Nat Methods       Date:  2019-09-09       Impact factor: 28.547

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  3 in total

Review 1.  Machine learning: its challenges and opportunities in plant system biology.

Authors:  Mohsen Hesami; Milad Alizadeh; Andrew Maxwell Phineas Jones; Davoud Torkamaneh
Journal:  Appl Microbiol Biotechnol       Date:  2022-05-16       Impact factor: 4.813

2.  Whole-genome bisulfite sequencing analysis of circulating tumour DNA for the detection and molecular classification of cancer.

Authors:  Yibo Gao; Hengqiang Zhao; Ke An; Zongzhi Liu; Luo Hai; Renda Li; Yang Zhou; Weipeng Zhao; Yongsheng Jia; Nan Wu; Lingyu Li; Jianming Ying; Jie Wang; Binghe Xu; Zhihong Wu; Zhongsheng Tong; Jie He; Yingli Sun
Journal:  Clin Transl Med       Date:  2022-08

Review 3.  Deciphering the Immune-Tumor Interplay During Early-Stage Lung Cancer Development via Single-Cell Technology.

Authors:  Wei-Wei Chen; Wei Liu; Yingze Li; Jun Wang; Yijiu Ren; Guangsuo Wang; Chang Chen; Hanjie Li
Journal:  Front Oncol       Date:  2022-01-03       Impact factor: 6.244

  3 in total

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