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A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

Authors :
Yanay Rosen
Timothy L. Tickle
Joshua Gould
Satyen H. Gohil
Danielle Dionne
Natalie B. Collins
Gabriela Smith-Rosario
Orr Ashenberg
Michal Slyper
Johanna Klughammer
Avinash Waghray
Julia Waldman
F. Stephen Hodi
Anand G. Patel
Catherine J. Wu
Sébastien Vigneau
Simon Gritsch
Masashi Nomura
Eugene Drokhlyansky
Suzanne J. Baker
Sara Napolitano
Isaac Wakiro
Mario L. Suvà
Caroline B. M. Porter
Aviv Regev
Nikhil Wagle
Jingyi Wu
Ursula A. Matulonis
Elizabeth H. Stover
Michael A. Dyer
Orit Rozenblatt-Rosen
Charles H. Yoon
Aaron N. Hata
Asa Karlstrom
Bruce E. Johnson
Rizwan Haq
Bo Li
Christopher Smillie
Matan Hofree
Michael R. Clay
Lan Nguyen
Raphael Bueno
Judit Jané-Valbuena
Alexander M. Tsankov
Benjamin Izar
Peter J. Tramontozzi
Ofir Cohen
Livnat Jerby-Arnon
Mei-Ju Su
Asaf Rotem
Source :
Nature Medicine
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Single-cell genomics is essential to chart tumor ecosystems. Although single-cell RNA-Seq (scRNA-Seq) profiles RNA from cells dissociated from fresh tumors, single-nucleus RNA-Seq (snRNA-Seq) is needed to profile frozen or hard-to-dissociate tumors. Each requires customization to different tissue and tumor types, posing a barrier to adoption. Here, we have developed a systematic toolbox for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq, respectively. We analyzed 216,490 cells and nuclei from 40 samples across 23 specimens spanning eight tumor types of varying tissue and sample characteristics. We evaluated protocols by cell and nucleus quality, recovery rate and cellular composition. scRNA-Seq and snRNA-Seq from matched samples recovered the same cell types, but at different proportions. Our work provides guidance for studies in a broad range of tumors, including criteria for testing and selecting methods from the toolbox for other tumors, thus paving the way for charting tumor atlases.<br />A set of ready-to-use tools for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq facilitates the implementation of single-cell technologies in clinical settings and the construction of single-cell tumor atlases.

Details

ISSN :
1546170X and 10788956
Volume :
26
Database :
OpenAIRE
Journal :
Nature Medicine
Accession number :
edsair.doi.dedup.....9b6c3169b442c0a2c93230ebee4550fb