Transcriptionally Profiling Cells Sorted by Transcript Abundance

We have developed a quantitative technique for sorting cells based on 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) in...

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Autores principales: Klemm, Sandy, Semrau, Stefan, Wiebrands, Kay, Mooijman, Dylan, Faddah, Dina A., Jaenisch, Rudolf, van Oudenaarden, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4174458/
https://www.ncbi.nlm.nih.gov/pubmed/24681693
http://dx.doi.org/10.1038/nmeth.2910
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author Klemm, Sandy
Semrau, Stefan
Wiebrands, Kay
Mooijman, Dylan
Faddah, Dina A.
Jaenisch, Rudolf
van Oudenaarden, Alexander
author_facet Klemm, Sandy
Semrau, Stefan
Wiebrands, Kay
Mooijman, Dylan
Faddah, Dina A.
Jaenisch, Rudolf
van Oudenaarden, Alexander
author_sort Klemm, Sandy
collection PubMed
description We have developed a quantitative technique for sorting cells based on 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.
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spelling pubmed-41744582014-11-01 Transcriptionally Profiling Cells Sorted by Transcript Abundance Klemm, Sandy Semrau, Stefan Wiebrands, Kay Mooijman, Dylan Faddah, Dina A. Jaenisch, Rudolf van Oudenaarden, Alexander Nat Methods Article We have developed a quantitative technique for sorting cells based on 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. 2014-03-30 2014-05 /pmc/articles/PMC4174458/ /pubmed/24681693 http://dx.doi.org/10.1038/nmeth.2910 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Klemm, Sandy
Semrau, Stefan
Wiebrands, Kay
Mooijman, Dylan
Faddah, Dina A.
Jaenisch, Rudolf
van Oudenaarden, Alexander
Transcriptionally Profiling Cells Sorted by Transcript Abundance
title Transcriptionally Profiling Cells Sorted by Transcript Abundance
title_full Transcriptionally Profiling Cells Sorted by Transcript Abundance
title_fullStr Transcriptionally Profiling Cells Sorted by Transcript Abundance
title_full_unstemmed Transcriptionally Profiling Cells Sorted by Transcript Abundance
title_short Transcriptionally Profiling Cells Sorted by Transcript Abundance
title_sort transcriptionally profiling cells sorted by transcript abundance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4174458/
https://www.ncbi.nlm.nih.gov/pubmed/24681693
http://dx.doi.org/10.1038/nmeth.2910
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