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Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer

Lung adenocarcinoma (LUAD) and squamous carcinoma (LUSC) are two major subtypes of non-small cell lung cancer with distinct pathologic features and treatment paradigms. The heterogeneity can be attributed to genetic, transcriptional, and epigenetic parameters. Here, we established a multi-omics atla...

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Autores principales: Zhang, Li, Zhang, Yiming, Wang, Chengdi, Yang, Ying, Ni, Yinyun, Wang, Zhoufeng, Song, Tingting, Yao, Menglin, Liu, Zhiqiang, Chao, Ningning, Yang, Yongfeng, Shao, Jun, Li, Zhidan, Zhou, Ran, Chen, Li, Zhang, Dan, Zhao, Yuancun, Liu, Wei, Li, Yupeng, He, Ping, Lin, Jing-wen, Wang, Yuan, Zhang, Kang, Chen, Lu, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758688/
https://www.ncbi.nlm.nih.gov/pubmed/35027529
http://dx.doi.org/10.1038/s41392-021-00824-9
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author Zhang, Li
Zhang, Yiming
Wang, Chengdi
Yang, Ying
Ni, Yinyun
Wang, Zhoufeng
Song, Tingting
Yao, Menglin
Liu, Zhiqiang
Chao, Ningning
Yang, Yongfeng
Shao, Jun
Li, Zhidan
Zhou, Ran
Chen, Li
Zhang, Dan
Zhao, Yuancun
Liu, Wei
Li, Yupeng
He, Ping
Lin, Jing-wen
Wang, Yuan
Zhang, Kang
Chen, Lu
Li, Weimin
author_facet Zhang, Li
Zhang, Yiming
Wang, Chengdi
Yang, Ying
Ni, Yinyun
Wang, Zhoufeng
Song, Tingting
Yao, Menglin
Liu, Zhiqiang
Chao, Ningning
Yang, Yongfeng
Shao, Jun
Li, Zhidan
Zhou, Ran
Chen, Li
Zhang, Dan
Zhao, Yuancun
Liu, Wei
Li, Yupeng
He, Ping
Lin, Jing-wen
Wang, Yuan
Zhang, Kang
Chen, Lu
Li, Weimin
author_sort Zhang, Li
collection PubMed
description Lung adenocarcinoma (LUAD) and squamous carcinoma (LUSC) are two major subtypes of non-small cell lung cancer with distinct pathologic features and treatment paradigms. The heterogeneity can be attributed to genetic, transcriptional, and epigenetic parameters. Here, we established a multi-omics atlas, integrating 52 single-cell RNA sequencing and 2342 public bulk RNA sequencing. We investigated their differences in genetic amplification, cellular compositions, and expression modules. We revealed that LUAD and LUSC contained amplifications occurring selectively in subclusters of AT2 and basal cells, and had distinct cellular composition modules associated with poor survival of lung cancer. Malignant and stage-specific gene analyses further uncovered critical transcription factors and genes in tumor progression. Moreover, we identified subclusters with proliferating and differentiating properties in AT2 and basal cells. Overexpression assays of ten genes, including sub-cluster markers AQP5 and KPNA2, further indicated their functional roles, providing potential targets for early diagnosis and treatment in lung cancer.
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spelling pubmed-87586882022-01-20 Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer Zhang, Li Zhang, Yiming Wang, Chengdi Yang, Ying Ni, Yinyun Wang, Zhoufeng Song, Tingting Yao, Menglin Liu, Zhiqiang Chao, Ningning Yang, Yongfeng Shao, Jun Li, Zhidan Zhou, Ran Chen, Li Zhang, Dan Zhao, Yuancun Liu, Wei Li, Yupeng He, Ping Lin, Jing-wen Wang, Yuan Zhang, Kang Chen, Lu Li, Weimin Signal Transduct Target Ther Article Lung adenocarcinoma (LUAD) and squamous carcinoma (LUSC) are two major subtypes of non-small cell lung cancer with distinct pathologic features and treatment paradigms. The heterogeneity can be attributed to genetic, transcriptional, and epigenetic parameters. Here, we established a multi-omics atlas, integrating 52 single-cell RNA sequencing and 2342 public bulk RNA sequencing. We investigated their differences in genetic amplification, cellular compositions, and expression modules. We revealed that LUAD and LUSC contained amplifications occurring selectively in subclusters of AT2 and basal cells, and had distinct cellular composition modules associated with poor survival of lung cancer. Malignant and stage-specific gene analyses further uncovered critical transcription factors and genes in tumor progression. Moreover, we identified subclusters with proliferating and differentiating properties in AT2 and basal cells. Overexpression assays of ten genes, including sub-cluster markers AQP5 and KPNA2, further indicated their functional roles, providing potential targets for early diagnosis and treatment in lung cancer. Nature Publishing Group UK 2022-01-14 /pmc/articles/PMC8758688/ /pubmed/35027529 http://dx.doi.org/10.1038/s41392-021-00824-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhang, Li
Zhang, Yiming
Wang, Chengdi
Yang, Ying
Ni, Yinyun
Wang, Zhoufeng
Song, Tingting
Yao, Menglin
Liu, Zhiqiang
Chao, Ningning
Yang, Yongfeng
Shao, Jun
Li, Zhidan
Zhou, Ran
Chen, Li
Zhang, Dan
Zhao, Yuancun
Liu, Wei
Li, Yupeng
He, Ping
Lin, Jing-wen
Wang, Yuan
Zhang, Kang
Chen, Lu
Li, Weimin
Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer
title Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer
title_full Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer
title_fullStr Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer
title_full_unstemmed Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer
title_short Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer
title_sort integrated single-cell rna sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758688/
https://www.ncbi.nlm.nih.gov/pubmed/35027529
http://dx.doi.org/10.1038/s41392-021-00824-9
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