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Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer

Single-cell transcriptome profiling of tumour tissue isolates allows the characterization of heterogeneous tumour cells along with neighbouring stromal and immune cells. Here we adopt this powerful approach to breast cancer and analyse 515 cells from 11 patients. Inferred copy number variations from...

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Autores principales: Chung, Woosung, Eum, Hye Hyeon, Lee, Hae-Ock, Lee, Kyung-Min, Lee, Han-Byoel, Kim, Kyu-Tae, Ryu, Han Suk, Kim, Sangmin, Lee, Jeong Eon, Park, Yeon Hee, Kan, Zhengyan, Han, Wonshik, Park, Woong-Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424158/
https://www.ncbi.nlm.nih.gov/pubmed/28474673
http://dx.doi.org/10.1038/ncomms15081
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author Chung, Woosung
Eum, Hye Hyeon
Lee, Hae-Ock
Lee, Kyung-Min
Lee, Han-Byoel
Kim, Kyu-Tae
Ryu, Han Suk
Kim, Sangmin
Lee, Jeong Eon
Park, Yeon Hee
Kan, Zhengyan
Han, Wonshik
Park, Woong-Yang
author_facet Chung, Woosung
Eum, Hye Hyeon
Lee, Hae-Ock
Lee, Kyung-Min
Lee, Han-Byoel
Kim, Kyu-Tae
Ryu, Han Suk
Kim, Sangmin
Lee, Jeong Eon
Park, Yeon Hee
Kan, Zhengyan
Han, Wonshik
Park, Woong-Yang
author_sort Chung, Woosung
collection PubMed
description Single-cell transcriptome profiling of tumour tissue isolates allows the characterization of heterogeneous tumour cells along with neighbouring stromal and immune cells. Here we adopt this powerful approach to breast cancer and analyse 515 cells from 11 patients. Inferred copy number variations from the single-cell RNA-seq data separate carcinoma cells from non-cancer cells. At a single-cell resolution, carcinoma cells display common signatures within the tumour as well as intratumoral heterogeneity regarding breast cancer subtype and crucial cancer-related pathways. Most of the non-cancer cells are immune cells, with three distinct clusters of T lymphocytes, B lymphocytes and macrophages. T lymphocytes and macrophages both display immunosuppressive characteristics: T cells with a regulatory or an exhausted phenotype and macrophages with an M2 phenotype. These results illustrate that the breast cancer transcriptome has a wide range of intratumoral heterogeneity, which is shaped by the tumour cells and immune cells in the surrounding microenvironment.
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spelling pubmed-54241582017-05-23 Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer Chung, Woosung Eum, Hye Hyeon Lee, Hae-Ock Lee, Kyung-Min Lee, Han-Byoel Kim, Kyu-Tae Ryu, Han Suk Kim, Sangmin Lee, Jeong Eon Park, Yeon Hee Kan, Zhengyan Han, Wonshik Park, Woong-Yang Nat Commun Article Single-cell transcriptome profiling of tumour tissue isolates allows the characterization of heterogeneous tumour cells along with neighbouring stromal and immune cells. Here we adopt this powerful approach to breast cancer and analyse 515 cells from 11 patients. Inferred copy number variations from the single-cell RNA-seq data separate carcinoma cells from non-cancer cells. At a single-cell resolution, carcinoma cells display common signatures within the tumour as well as intratumoral heterogeneity regarding breast cancer subtype and crucial cancer-related pathways. Most of the non-cancer cells are immune cells, with three distinct clusters of T lymphocytes, B lymphocytes and macrophages. T lymphocytes and macrophages both display immunosuppressive characteristics: T cells with a regulatory or an exhausted phenotype and macrophages with an M2 phenotype. These results illustrate that the breast cancer transcriptome has a wide range of intratumoral heterogeneity, which is shaped by the tumour cells and immune cells in the surrounding microenvironment. Nature Publishing Group 2017-05-05 /pmc/articles/PMC5424158/ /pubmed/28474673 http://dx.doi.org/10.1038/ncomms15081 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Chung, Woosung
Eum, Hye Hyeon
Lee, Hae-Ock
Lee, Kyung-Min
Lee, Han-Byoel
Kim, Kyu-Tae
Ryu, Han Suk
Kim, Sangmin
Lee, Jeong Eon
Park, Yeon Hee
Kan, Zhengyan
Han, Wonshik
Park, Woong-Yang
Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
title Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
title_full Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
title_fullStr Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
title_full_unstemmed Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
title_short Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
title_sort single-cell rna-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424158/
https://www.ncbi.nlm.nih.gov/pubmed/28474673
http://dx.doi.org/10.1038/ncomms15081
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