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...
| Main Authors: | , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Biomed Central Ltd.
2016
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| Online Access: | http://hdl.handle.net/1721.1/105787 https://orcid.org/0000-0001-8567-2049 |
| _version_ | 1811073645434372096 |
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| author | Hashimshony, Tamar Senderovich, Naftalie Avital, Gal Klochendler, Agnes de Leeuw, Yaron Anavy, Leon Li, Shuqiang Livak, Kenneth J. Dor, Yuval Yanai, Itai Regev, Aviv Rozenblatt-Rosen, Orit Gennert, Dave |
| author2 | Massachusetts Institute of Technology. Department of Biology |
| author_facet | Massachusetts Institute of Technology. Department of Biology Hashimshony, Tamar Senderovich, Naftalie Avital, Gal Klochendler, Agnes de Leeuw, Yaron Anavy, Leon Li, Shuqiang Livak, Kenneth J. Dor, Yuval Yanai, Itai Regev, Aviv Rozenblatt-Rosen, Orit Gennert, Dave |
| author_sort | Hashimshony, Tamar |
| collection | MIT |
| 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. |
| first_indexed | 2024-09-23T09:36:19Z |
| format | Article |
| id | mit-1721.1/105787 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:36:19Z |
| publishDate | 2016 |
| publisher | Biomed Central Ltd. |
| record_format | dspace |
| spelling | mit-1721.1/1057872022-09-26T12:36:25Z CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq Hashimshony, Tamar Senderovich, Naftalie Avital, Gal Klochendler, Agnes de Leeuw, Yaron Anavy, Leon Li, Shuqiang Livak, Kenneth J. Dor, Yuval Yanai, Itai Regev, Aviv Rozenblatt-Rosen, Orit Gennert, Dave Massachusetts Institute of Technology. Department of Biology Regev, Aviv Rozenblatt-Rosen, Orit Gennert, Dave 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. Seventh Framework Programme (European Commission) Israel Science Foundation 2016-12-09T20:14:40Z 2016-12-09T20:14:40Z 2016-04 2015-12 Article http://purl.org/eprint/type/JournalArticle 1474-760X http://hdl.handle.net/1721.1/105787 Hashimshony, Tamar et al. “CEL-Seq2: Sensitive Highly-Multiplexed Single-Cell RNA-Seq.” Genome Biology 17.1 (2016): n. pag. https://orcid.org/0000-0001-8567-2049 en_US http://dx.doi.org/10.1186/s13059-016-0938-8 Genome Biology Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf Biomed Central Ltd. BMC |
| spellingShingle | Hashimshony, Tamar Senderovich, Naftalie Avital, Gal Klochendler, Agnes de Leeuw, Yaron Anavy, Leon Li, Shuqiang Livak, Kenneth J. Dor, Yuval Yanai, Itai Regev, Aviv Rozenblatt-Rosen, Orit Gennert, Dave 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 |
| url | http://hdl.handle.net/1721.1/105787 https://orcid.org/0000-0001-8567-2049 |
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