Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
复制标题
使用纳米液液滴对单个细胞的高度平行基因组表达分析。
DOI：
10.1016/j.cell.2015.05.002
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发表时间：
2015-05-21
期刊：
影响因子：
64.5
通讯作者：
McCarroll SA
中科院分区：
文献类型：
--
作者：
Macosko EZ;Basu A;Satija R;Nemesh J;Shekhar K;Goldman M;Tirosh I;Bialas AR;Kamitaki N;Martersteck EM;Trombetta JJ;Weitz DA;Sanes JR;Shalek AK;Regev A;McCarroll SA
细胞是生物结构和功能的基本单位，在类型和状态上变化很大。单细胞基因组学可以表征细胞的身份和功能，但容易和规模的限制阻碍了其广泛的应用。在这里，我们描述了Drop-Seq，这是一种快速分析数千个单个细胞的策略，将它们分离成纳升大小的水滴，将不同的条形码与每个细胞的RNA相关联，并将它们全部测序在一起。Drop-Seq同时分析来自数千个单个细胞的mRNA转录物，同时记住转录物的细胞来源。我们分析了来自44，808个小鼠视网膜细胞的转录组，并鉴定了39个转录上不同的细胞群，为已知的视网膜细胞类别和新的候选细胞亚型创建了基因表达的分子图谱。Drop-Seq将通过实现单细胞分辨率的常规转录谱分析来加速生物发现。
Cells, the basic units of biological structure and function, vary broadly in type and state. Single-cell genomics can characterize cell identity and function, but limitations of ease and scale have prevented its broad application. Here we describe Drop-Seq, a strategy for quickly profiling thousands of individual cells by separating them into nanoliter-sized aqueous droplets, associating a different barcode with each cell’s RNAs, and sequencing them all together. Drop-Seq analyzes mRNA transcripts from thousands of individual cells simultaneously while remembering transcripts’ cell of origin. We analyzed transcriptomes from 44,808 mouse retinal cells and identified 39 transcriptionally distinct cell populations, creating a molecular atlas of gene expression for known retinal cell classes and novel candidate cell subtypes. Drop-Seq will accelerate biological discovery by enabling routine transcriptional profiling at single-cell resolution.
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DOI：
10.1126/science.1247651
发表时间：
2014-02-14
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Jaitin DA;Kenigsberg E;Keren-Shaul H;Elefant N;Paul F;Zaretsky I;Mildner A;Cohen N;Jung S;Tanay A;Amit I
通讯作者：
Amit I
影响因子：
7.4
作者：
Hindson, Benjamin J.;Ness, Kevin D.;Masquelier, Donald A.;Belgrader, Phillip;Heredia, Nicholas J.;Makarewicz, Anthony J.;Bright, Isaac J.;Lucero, Michael Y.;Hiddessen, Amy L.;Legler, Tina C.;Kitano, Tyler K.;Hodel, Michael R.;Petersen, Jonathan F.;Wyatt, Paul W.;Steenblock, Erin R.;Shah, Pallavi H.;Bousse, Luc J.;Troup, Camille B.;Mellen, Jeffrey C.;Wittmann, Dean K.;Erndt, Nicholas G.;Cauley, Thomas H.;Koehler, Ryan T.;So, Austin P.;Dube, Simant;Rose, Klint A.;Montesclaros, Luz;Wang, Shenglong;Stumbo, David P.;Hodges, Shawn P.;Romine, Steven;Milanovich, Fred P.;White, Helen E.;Regan, John F.;Karlin-Neumann, George A.;Hindson, Christopher M.;Saxonov, Serge;Colston, Bill W.
通讯作者：
Colston, Bill W.
影响因子：
34.7
作者：
Ascoli, Giorgio A.;Alonso-Nanclares, Lidia;Anderson, Stewart A.;Barrionuevo, German;Benavides-Piccione, Ruth;Burkhalter, Andreas;Buzsaki, Gyoergy;Cauli, Bruno;DeFelipe, Javier;Fairen, Alfonso;Feldmeyer, Dirk;Fishell, Gord;Fregnac, Yves;Freund, Tamas F.;Gardner, Daniel;Gardner, Esther P.;Goldberg, Jesse H.;Helmstaedter, Moritz;Hestrin, Shaul;Karube, Fuyuki;Kisvarday, Zoltan F.;Lambolez, Bertrand;Lewis, David A.;Marin, Oscar;Markram, Henry;Munoz, Alberto;Packer, Adam;Petersen, Carl C. H.;Rockland, Kathleen S.;Rossier, Jean;Rudy, Bernardo;Somogyi, Peter;Staiger, Jochen F.;Tamas, Gabor;Thomson, Alex M.;Toledo-Rodriguez, Maria;Wang, Yun;West, David C.;Yuste, Rafael
通讯作者：
Yuste, Rafael
影响因子：
25
作者：
Kay, Jeremy N.;Voinescu, P. Emanuela;Chu, Monica W.;Sanes, Joshua R.
通讯作者：
Sanes, Joshua R.
影响因子：
1.9
作者：
Famiglietti, Edward V.;Sundquist, Sarah J.
通讯作者：
Sundquist, Sarah J.