Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis

Single cell RNA-sequencing can be a powerful approach to characterizing cell composition in a population of cells but is thought to be too expensive for population-scale analyses. Here, the authors show how lower coverage of more samples can increase the power to detect cell-type-specific eQTL.

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Autores principales:	Igor Mandric, Tommer Schwarz, Arunabha Majumdar, Kangcheng Hou, Leah Briscoe, Richard Perez, Meena Subramaniam, Christoph Hafemeister, Rahul Satija, Chun Jimmie Ye, Bogdan Pasaniuc, Eran Halperin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ef1aefc1013e4e05871a0a3158313e73
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spelling	oai:doaj.org-article:ef1aefc1013e4e05871a0a3158313e732021-12-02T17:31:24ZOptimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis10.1038/s41467-020-19365-w2041-1723https://doaj.org/article/ef1aefc1013e4e05871a0a3158313e732020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19365-whttps://doaj.org/toc/2041-1723Single cell RNA-sequencing can be a powerful approach to characterizing cell composition in a population of cells but is thought to be too expensive for population-scale analyses. Here, the authors show how lower coverage of more samples can increase the power to detect cell-type-specific eQTL.Igor MandricTommer SchwarzArunabha MajumdarKangcheng HouLeah BriscoeRichard PerezMeena SubramaniamChristoph HafemeisterRahul SatijaChun Jimmie YeBogdan PasaniucEran HalperinNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Igor Mandric Tommer Schwarz Arunabha Majumdar Kangcheng Hou Leah Briscoe Richard Perez Meena Subramaniam Christoph Hafemeister Rahul Satija Chun Jimmie Ye Bogdan Pasaniuc Eran Halperin Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
description	Single cell RNA-sequencing can be a powerful approach to characterizing cell composition in a population of cells but is thought to be too expensive for population-scale analyses. Here, the authors show how lower coverage of more samples can increase the power to detect cell-type-specific eQTL.
format	article
author	Igor Mandric Tommer Schwarz Arunabha Majumdar Kangcheng Hou Leah Briscoe Richard Perez Meena Subramaniam Christoph Hafemeister Rahul Satija Chun Jimmie Ye Bogdan Pasaniuc Eran Halperin
author_facet	Igor Mandric Tommer Schwarz Arunabha Majumdar Kangcheng Hou Leah Briscoe Richard Perez Meena Subramaniam Christoph Hafemeister Rahul Satija Chun Jimmie Ye Bogdan Pasaniuc Eran Halperin
author_sort	Igor Mandric
title	Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
title_short	Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
title_full	Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
title_fullStr	Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
title_full_unstemmed	Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis
title_sort	optimized design of single-cell rna sequencing experiments for cell-type-specific eqtl analysis
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ef1aefc1013e4e05871a0a3158313e73
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Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis

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