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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-4848782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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