Transcriptional profiling of cells sorted by transcript abundance
We have developed a quantitative technique for sorting cells on the basis of endogenous RNA abundance, with a molecular resolution of 10–20 transcripts. We demonstrate efficient and unbiased RNA extraction from transcriptionally sorted cells and report a high-fidelity transcriptome measurement of mo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Nature Publishing Group
2015
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| Online Access: | http://hdl.handle.net/1721.1/96519 |
| _version_ | 1826196468135886848 |
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| author | Klemm, Sandy Lee Semrau, Stefan Wiebrands, Kay Mooijman, Dylan Jaenisch, Rudolf van Oudenaarden, Alexander Faddah, Dina A. |
| author2 | Massachusetts Institute of Technology. Department of Biology |
| author_facet | Massachusetts Institute of Technology. Department of Biology Klemm, Sandy Lee Semrau, Stefan Wiebrands, Kay Mooijman, Dylan Jaenisch, Rudolf van Oudenaarden, Alexander Faddah, Dina A. |
| author_sort | Klemm, Sandy Lee |
| collection | MIT |
| description | We have developed a quantitative technique for sorting cells on the basis of endogenous RNA abundance, with a molecular resolution of 10–20 transcripts. We demonstrate efficient and unbiased RNA extraction from transcriptionally sorted cells and report a high-fidelity transcriptome measurement of mouse induced pluripotent stem cells (iPSCs) isolated from a heterogeneous reprogramming culture. This method is broadly applicable to profiling transcriptionally distinct cellular states without requiring antibodies or transgenic fluorescent proteins. |
| first_indexed | 2024-09-23T10:27:20Z |
| format | Article |
| id | mit-1721.1/96519 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:27:20Z |
| publishDate | 2015 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/965192022-09-26T17:59:46Z Transcriptional profiling of cells sorted by transcript abundance Transcriptional profiling of cells sorted by RNA abundance Klemm, Sandy Lee Semrau, Stefan Wiebrands, Kay Mooijman, Dylan Jaenisch, Rudolf van Oudenaarden, Alexander Faddah, Dina A. Massachusetts Institute of Technology. Department of Biology Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Department of Physics Whitehead Institute for Biomedical Research Koch Institute for Integrative Cancer Research at MIT Klemm, Sandy Lee Semrau, Stefan van Oudenaarden, Alexander Faddah, Dina A. Jaenisch, Rudolf We have developed a quantitative technique for sorting cells on the basis of endogenous RNA abundance, with a molecular resolution of 10–20 transcripts. We demonstrate efficient and unbiased RNA extraction from transcriptionally sorted cells and report a high-fidelity transcriptome measurement of mouse induced pluripotent stem cells (iPSCs) isolated from a heterogeneous reprogramming culture. This method is broadly applicable to profiling transcriptionally distinct cellular states without requiring antibodies or transgenic fluorescent proteins. National Cancer Institute (U.S.). Physical Sciences-Oncology Center (U54CA143874) National Institutes of Health (U.S.) (Pioneer Award 8 DP1 CA174420-05) NWO of the Netherlands (Vici Award) NWO of the Netherlands (Rubicon Award) National Institutes of Health (U.S.) (Grant HD 045022) National Institutes of Health (U.S.) (Grant R37CA084198) National Science Foundation (U.S.). Graduate Research Fellowship Vertex Pharmaceuticals Incorporated (Vertex Scholarship) 2015-04-10T17:20:03Z 2015-04-10T17:20:03Z 2014-03 2013-08 Article http://purl.org/eprint/type/JournalArticle 1548-7091 1548-7105 http://hdl.handle.net/1721.1/96519 Klemm, Sandy, Stefan Semrau, Kay Wiebrands, Dylan Mooijman, Dina A Faddah, Rudolf Jaenisch, and Alexander van Oudenaarden. “Transcriptional Profiling of Cells Sorted by RNA Abundance.” Nature Methods 11, no. 5 (March 30, 2014): 549–551. en_US http://dx.doi.org/10.1038/nmeth.2910 Nature Methods Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Nature Publishing Group PMC |
| spellingShingle | Klemm, Sandy Lee Semrau, Stefan Wiebrands, Kay Mooijman, Dylan Jaenisch, Rudolf van Oudenaarden, Alexander Faddah, Dina A. Transcriptional profiling of cells sorted by transcript abundance |
| title | Transcriptional profiling of cells sorted by transcript abundance |
| title_full | Transcriptional profiling of cells sorted by transcript abundance |
| title_fullStr | Transcriptional profiling of cells sorted by transcript abundance |
| title_full_unstemmed | Transcriptional profiling of cells sorted by transcript abundance |
| title_short | Transcriptional profiling of cells sorted by transcript abundance |
| title_sort | transcriptional profiling of cells sorted by transcript abundance |
| url | http://hdl.handle.net/1721.1/96519 |
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