A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

The advent of single-cell RNA sequencing has revealed significant transcriptional heterogeneity in cancer, but its relationship to genomic heterogeneity remains unclear. Focusing on acute myeloid leukemia samples, the authors describe a general approach for linking mutation-containing cells to their...

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Autores principales:	Allegra A. Petti, Stephen R. Williams, Christopher A. Miller, Ian T. Fiddes, Sridhar N. Srivatsan, David Y. Chen, Catrina C. Fronick, Robert S. Fulton, Deanna M. Church, Timothy J. Ley
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e7387f8418fd4439a8a668e9564cc12b
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spelling	oai:doaj.org-article:e7387f8418fd4439a8a668e9564cc12b2021-12-02T14:35:55ZA general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing10.1038/s41467-019-11591-12041-1723https://doaj.org/article/e7387f8418fd4439a8a668e9564cc12b2019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11591-1https://doaj.org/toc/2041-1723The advent of single-cell RNA sequencing has revealed significant transcriptional heterogeneity in cancer, but its relationship to genomic heterogeneity remains unclear. Focusing on acute myeloid leukemia samples, the authors describe a general approach for linking mutation-containing cells to their transcriptional phenotypes using single-cell RNA sequencing data.Allegra A. PettiStephen R. WilliamsChristopher A. MillerIan T. FiddesSridhar N. SrivatsanDavid Y. ChenCatrina C. FronickRobert S. FultonDeanna M. ChurchTimothy J. LeyNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Allegra A. Petti Stephen R. Williams Christopher A. Miller Ian T. Fiddes Sridhar N. Srivatsan David Y. Chen Catrina C. Fronick Robert S. Fulton Deanna M. Church Timothy J. Ley A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing
description	The advent of single-cell RNA sequencing has revealed significant transcriptional heterogeneity in cancer, but its relationship to genomic heterogeneity remains unclear. Focusing on acute myeloid leukemia samples, the authors describe a general approach for linking mutation-containing cells to their transcriptional phenotypes using single-cell RNA sequencing data.
format	article
author	Allegra A. Petti Stephen R. Williams Christopher A. Miller Ian T. Fiddes Sridhar N. Srivatsan David Y. Chen Catrina C. Fronick Robert S. Fulton Deanna M. Church Timothy J. Ley
author_facet	Allegra A. Petti Stephen R. Williams Christopher A. Miller Ian T. Fiddes Sridhar N. Srivatsan David Y. Chen Catrina C. Fronick Robert S. Fulton Deanna M. Church Timothy J. Ley
author_sort	Allegra A. Petti
title	A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing
title_short	A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing
title_full	A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing
title_fullStr	A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing
title_full_unstemmed	A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing
title_sort	general approach for detecting expressed mutations in aml cells using single cell rna-sequencing
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/e7387f8418fd4439a8a668e9564cc12b
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A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

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