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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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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. |
format | Online Article Text |
id | pubmed-5424158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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