CASB: a concanavalin A-based sample barcoding strategy for single-cell sequencing.
CASB: a concanavalin A-based sample barcoding strategy for single-cell sequencing.
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CASB:基于刀豆球蛋白 A 的单细胞测序样品条形码策略
DOI:
10.15252/msb.202010060
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发表时间:
2021-04
影响因子:
9.9
通讯作者:
Chen W
中科院分区:
文献类型:
--
作者:
Fang L;Li G;Sun Z;Zhu Q;Cui H;Li Y;Zhang J;Liang W;Wei W;Hu Y;Chen W
Sample multiplexing facilitates single‐cell sequencing by reducing costs, revealing subtle difference between similar samples, and identifying artifacts such as cell doublets. However, universal and cost‐effective strategies are rather limited. Here, we reported a concanavalin A‐based sample barcoding strategy (CASB), which could be followed by both single‐cell mRNA and ATAC (assay for transposase‐accessible chromatin) sequencing techniques. The method involves minimal sample processing, thereby preserving intact transcriptomic or epigenomic patterns. We demonstrated its high labeling efficiency, high accuracy in assigning cells/nuclei to samples regardless of cell type and genetic background, and high sensitivity in detecting doublets by three applications: 1) CASB followed by scRNA‐seq to track the transcriptomic dynamics of a cancer cell line perturbed by multiple drugs, which revealed compound‐specific heterogeneous response; 2) CASB together with both snATAC‐seq and scRNA‐seq to illustrate the IFN‐γ‐mediated dynamic changes on epigenome and transcriptome profile, which identified the transcription factor underlying heterogeneous IFN‐γ response; and 3) combinatorial indexing by CASB, which demonstrated its high scalability. CASB is a new method for sample multiplexing compatible with both single‐cell RNA‐seq and ATAC‐seq. CASB is highly accurate, efficient and sensitive and allows more diverse types of information to be incorporated in single‐cell sequencing experiments.
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影响因子:
64.8
作者:
Cao, Junyue;Spielmann, Malte;Shendure, Jay
通讯作者:
Shendure, Jay
影响因子:
48
作者:
Langmead, Ben;Salzberg, Steven L.
通讯作者:
Salzberg, Steven L.
影响因子:
64.8
作者:
Buenrostro JD;Wu B;Litzenburger UM;Ruff D;Gonzales ML;Snyder MP;Chang HY;Greenleaf WJ
通讯作者:
Greenleaf WJ
影响因子:
64.8
作者:
Garnett, Mathew J.;Edelman, Elena J.;Heidorn, Sonja J.;Greenman, Chris D.;Dastur, Anahita;Lau, King Wai;Greninger, Patricia;Thompson, I. Richard;Luo, Xi;Soares, Jorge;Liu, Qingsong;Iorio, Francesco;Surdez, Didier;Chen, Li;Milano, Randy J.;Bignell, Graham R.;Tam, Ah T.;Davies, Helen;Stevenson, Jesse A.;Barthorpe, Syd;Lutz, Stephen R.;Kogera, Fiona;Lawrence, Karl;McLaren-Douglas, Anne;Mitropoulos, Xeni;Mironenko, Tatiana;Thi, Helen;Richardson, Laura;Zhou, Wenjun;Jewitt, Frances;Zhang, Tinghu;O'Brien, Patrick;Boisvert, Jessica L.;Price, Stacey;Hur, Wooyoung;Yang, Wanjuan;Deng, Xianming;Butler, Adam;Choi, Hwan Geun;Chang, JaeWon;Baselga, Jose;Stamenkovic, Ivan;Engelman, Jeffrey A.;Sharma, Sreenath V.;Delattre, Olivier;Saez-Rodriguez, Julio;Gray, Nathanael S.;Settleman, Jeffrey;Futreal, P. Andrew;Haber, Daniel A.;Stratton, Michael R.;Ramaswamy, Sridhar;McDermott, Ultan;Benes, Cyril H.
通讯作者:
Benes, Cyril H.
DOI:
10.1126/science.aau0730
发表时间:
2018-09-28
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Cao J;Cusanovich DA;Ramani V;Aghamirzaie D;Pliner HA;Hill AJ;Daza RM;McFaline-Figueroa JL;Packer JS;Christiansen L;Steemers FJ;Adey AC;Trapnell C;Shendure J
通讯作者:
Shendure J