Transcriptional profiling of cells sorted by RNA abundance

S. Klemm; S. Semrau; K. Wiebrands; D. Mooijman; D.A. Faddah; R. Jaenisch; A. van Oudenaarden

Transcriptional profiling of cells sorted by RNA abundance

Translated title of the contribution: Transcriptional profiling of cells sorted by RNA abundance

S. Klemm, S. Semrau, K. Wiebrands, D. Mooijman, D.A. Faddah, R. Jaenisch, A. van Oudenaarden

Molecular Cancer Research

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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

Translated title of the contribution	Transcriptional profiling of cells sorted by RNA abundance
Original language	Undefined/Unknown
Pages (from-to)	549-551
Number of pages	3
Journal	Nature Methods
Volume	11
Issue number	5
Publication status	Published - 2014

Cite this

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title = "Transcriptional profiling of cells sorted by RNA abundance",

abstract = "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",

author = "S. Klemm and S. Semrau and K. Wiebrands and D. Mooijman and D.A. Faddah and R. Jaenisch and {van Oudenaarden}, A.",

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year = "2014",

language = "Undefined/Unknown",

volume = "11",

pages = "549--551",

journal = "Nature Methods",

issn = "1548-7091",

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TY - JOUR

T1 - Transcriptional profiling of cells sorted by RNA abundance

AU - Klemm, S.

AU - Semrau, S.

AU - Wiebrands, K.

AU - Mooijman, D.

AU - Faddah, D.A.

AU - Jaenisch, R.

AU - van Oudenaarden, A.

N1 - J AY 2014

PY - 2014

Y1 - 2014

N2 - 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

AB - 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

M3 - Article

SN - 1548-7091

VL - 11

SP - 549

EP - 551

JO - Nature Methods

JF - Nature Methods

IS - 5

ER -

Transcriptional profiling of cells sorted by RNA abundance

Abstract

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