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CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq

Single-cell transcriptomics requires a method that is sensitive, accurate, and reproducible. Here, we present CEL-Seq2, a modified version of our CEL-Seq method, with threefold higher sensitivity, lower costs, and less hands-on time. We implemented CEL-Seq2 on Fluidigm’s C1 system, providing its fir...

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Autores principales: Hashimshony, Tamar, Senderovich, Naftalie, Avital, Gal, Klochendler, Agnes, de Leeuw, Yaron, Anavy, Leon, Gennert, Dave, Li, Shuqiang, Livak, Kenneth J., Rozenblatt-Rosen, Orit, Dor, Yuval, Regev, Aviv, Yanai, Itai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848782/
https://www.ncbi.nlm.nih.gov/pubmed/27121950
http://dx.doi.org/10.1186/s13059-016-0938-8
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author Hashimshony, Tamar
Senderovich, Naftalie
Avital, Gal
Klochendler, Agnes
de Leeuw, Yaron
Anavy, Leon
Gennert, Dave
Li, Shuqiang
Livak, Kenneth J.
Rozenblatt-Rosen, Orit
Dor, Yuval
Regev, Aviv
Yanai, Itai
author_facet Hashimshony, Tamar
Senderovich, Naftalie
Avital, Gal
Klochendler, Agnes
de Leeuw, Yaron
Anavy, Leon
Gennert, Dave
Li, Shuqiang
Livak, Kenneth J.
Rozenblatt-Rosen, Orit
Dor, Yuval
Regev, Aviv
Yanai, Itai
author_sort Hashimshony, Tamar
collection PubMed
description Single-cell transcriptomics requires a method that is sensitive, accurate, and reproducible. Here, we present CEL-Seq2, a modified version of our CEL-Seq method, with threefold higher sensitivity, lower costs, and less hands-on time. We implemented CEL-Seq2 on Fluidigm’s C1 system, providing its first single-cell, on-chip barcoding method, and we detected gene expression changes accompanying the progression through the cell cycle in mouse fibroblast cells. We also compare with Smart-Seq to demonstrate CEL-Seq2’s increased sensitivity relative to other available methods. Collectively, the improvements make CEL-Seq2 uniquely suited to single-cell RNA-Seq analysis in terms of economics, resolution, and ease of use. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0938-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-48487822016-04-29 CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq Hashimshony, Tamar Senderovich, Naftalie Avital, Gal Klochendler, Agnes de Leeuw, Yaron Anavy, Leon Gennert, Dave Li, Shuqiang Livak, Kenneth J. Rozenblatt-Rosen, Orit Dor, Yuval Regev, Aviv Yanai, Itai Genome Biol Method Single-cell transcriptomics requires a method that is sensitive, accurate, and reproducible. Here, we present CEL-Seq2, a modified version of our CEL-Seq method, with threefold higher sensitivity, lower costs, and less hands-on time. We implemented CEL-Seq2 on Fluidigm’s C1 system, providing its first single-cell, on-chip barcoding method, and we detected gene expression changes accompanying the progression through the cell cycle in mouse fibroblast cells. We also compare with Smart-Seq to demonstrate CEL-Seq2’s increased sensitivity relative to other available methods. Collectively, the improvements make CEL-Seq2 uniquely suited to single-cell RNA-Seq analysis in terms of economics, resolution, and ease of use. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0938-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-28 /pmc/articles/PMC4848782/ /pubmed/27121950 http://dx.doi.org/10.1186/s13059-016-0938-8 Text en © Hashimshony et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Hashimshony, Tamar
Senderovich, Naftalie
Avital, Gal
Klochendler, Agnes
de Leeuw, Yaron
Anavy, Leon
Gennert, Dave
Li, Shuqiang
Livak, Kenneth J.
Rozenblatt-Rosen, Orit
Dor, Yuval
Regev, Aviv
Yanai, Itai
CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
title CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
title_full CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
title_fullStr CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
title_full_unstemmed CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
title_short CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
title_sort cel-seq2: sensitive highly-multiplexed single-cell rna-seq
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848782/
https://www.ncbi.nlm.nih.gov/pubmed/27121950
http://dx.doi.org/10.1186/s13059-016-0938-8
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