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Precise identification of cancer cells from allelic imbalances in single cell transcriptomes

Trinh, MK; Pacyna, CN; Kildisiute, G; Thevanesan, C; Piapi, A; Ambridge, K; Anderson, ND; ... Young, MD; + view all (2022) Precise identification of cancer cells from allelic imbalances in single cell transcriptomes. Communications Biology , 5 (1) , Article 884. 10.1038/s42003-022-03808-9. (In press). Green open access

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Abstract

A fundamental step of tumour single cell mRNA analysis is separating cancer and non-cancer cells. We show that the common approach to separation, using shifts in average expression, can lead to erroneous biological conclusions. By contrast, allelic imbalances representing copy number changes directly detect the cancer genotype and accurately separate cancer from non-cancer cells. Our findings provide a definitive approach to identifying cancer cells from single cell mRNA sequencing data.

Type: Article
Title: Precise identification of cancer cells from allelic imbalances in single cell transcriptomes
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s42003-022-03808-9
Publisher version: https://doi.org/10.1038/s42003-022-03808-9
Language: English
Additional information: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Allelic Imbalance, Genotype, Humans, Neoplasms, Polymorphism, Single Nucleotide, RNA, Messenger, Transcriptome
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Biology and Cancer Dept
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10156063
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