Single cell derived mRNA signals across human kidney tumors
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Published:2021-06-23
Issue:1
Volume:12
Page:
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ISSN:2041-1723
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Container-title:Nature Communications
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language:en
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Short-container-title:Nat Commun
Author:
Young Matthew D.ORCID, Mitchell Thomas J.ORCID, Custers LarsORCID, Margaritis Thanasis, Morales-Rodriguez Francisco, Kwakwa Kwasi, Khabirova EleonoraORCID, Kildisiute GerdaORCID, Oliver Thomas R. W.ORCID, de Krijger Ronald R., van den Heuvel-Eibrink Marry M.ORCID, Comitani FedericoORCID, Piapi AliceORCID, Bugallo-Blanco Eva, Thevanesan Christine, Burke ChristinaORCID, Prigmore Elena, Ambridge Kirsty, Roberts KennyORCID, Braga Felipe A. Vieira, Coorens Tim H. H.ORCID, Del Valle Ignacio, Wilbrey-Clark Anna, Mamanova LiraORCID, Stewart Grant D.ORCID, Gnanapragasam Vincent J., Rampling Dyanne, Sebire Neil, Coleman Nicholas, Hook Liz, Warren AnneORCID, Haniffa MuzlifahORCID, Kool Marcel, Pfister Stefan M., Achermann John C.ORCID, He Xiaoling, Barker Roger A., Shlien Adam, Bayraktar Omer A.ORCID, Teichmann Sarah A.ORCID, Holstege Frank C.ORCID, Meyer Kerstin B.ORCID, Drost JarnoORCID, Straathof KarinORCID, Behjati SamORCID
Abstract
AbstractTumor cells may share some patterns of gene expression with their cell of origin, providing clues into the differentiation state and origin of cancer. Here, we study the differentiation state and cellular origin of 1300 childhood and adult kidney tumors. Using single cell mRNA reference maps of normal tissues, we quantify reference “cellular signals” in each tumor. Quantifying global differentiation, we find that childhood tumors exhibit fetal cellular signals, replacing the presumption of “fetalness” with a quantitative measure of immaturity. By contrast, in adult cancers our assessment refutes the suggestion of dedifferentiation towards a fetal state in most cases. We find an intimate connection between developmental mesenchymal populations and childhood renal tumors. We demonstrate the diagnostic potential of our approach with a case study of a cryptic renal tumor. Our findings provide a cellular definition of human renal tumors through an approach that is broadly applicable to human cancer.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Reference56 articles.
1. Young, M. D. et al. Single cell transcriptomes from human kidneys reveal the cellular identity of renal tumors. Science 361, 594–599 (2018). 2. A, B., P, W. & Jc, Z. SnapShot: TCGA-Analyzed Tumors. Cell 173 https://pubmed.ncbi.nlm.nih.gov/29625059/ (2018). 3. International Cancer Genome Consortium. et al. International network of cancer genome projects. Nature 464, 993–998 (2010). 4. Behjati, S., Lindsay, S., Teichmann, S. A. & Haniffa, M. Mapping human development at single-cell resolution. Dev. Camb. Engl. 145, (2018). 5. A, R. et al. The Human Cell Atlas. eLife 6, e27041 (2017).
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