Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations

The human aging process is associated with molecular changes and cellular degeneration, resulting in a significant increase in cancer incidence with age. Despite their potential correlation, the relationship between cancer- and ageing-related transcriptional changes is largely unknown. In this study...

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Autores principales:	Dominik Saul, Robyn Laura Kosinsky
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cancer aging single-cell sequencing gene expression transcriptomics next-generation sequencing Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/5706033af5564384b011ff7e4d34807b
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spelling	oai:doaj.org-article:5706033af5564384b011ff7e4d34807b2021-11-25T17:11:47ZSingle-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations10.3390/cells101131262073-4409https://doaj.org/article/5706033af5564384b011ff7e4d34807b2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4409/10/11/3126https://doaj.org/toc/2073-4409The human aging process is associated with molecular changes and cellular degeneration, resulting in a significant increase in cancer incidence with age. Despite their potential correlation, the relationship between cancer- and ageing-related transcriptional changes is largely unknown. In this study, we aimed to analyze aging-associated transcriptional patterns in publicly available bulk mRNA-seq and single-cell RNA-seq (scRNA-seq) datasets for chronic myelogenous leukemia (CML), colorectal cancer (CRC), hepatocellular carcinoma (HCC), lung cancer (LC), and pancreatic ductal adenocarcinoma (PDAC). Indeed, we detected that various aging/senescence-induced genes (ASIGs) were upregulated in malignant diseases compared to healthy control samples. To elucidate the importance of ASIGs during cell development, pseudotime analyses were performed, which revealed a late enrichment of distinct cancer-specific ASIG signatures. Notably, we were able to demonstrate that all cancer entities analyzed in this study comprised cell populations expressing ASIGs. While only minor correlations were detected between ASIGs and transcriptome-wide changes in PDAC, a high proportion of ASIGs was induced in CML, CRC, HCC, and LC samples. These unique cellular subpopulations could serve as a basis for future studies on the role of aging and senescence in human malignancies.Dominik SaulRobyn Laura KosinskyMDPI AGarticlecanceragingsingle-cell sequencinggene expressiontranscriptomicsnext-generation sequencingBiology (General)QH301-705.5ENCells, Vol 10, Iss 3126, p 3126 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cancer aging single-cell sequencing gene expression transcriptomics next-generation sequencing Biology (General) QH301-705.5
spellingShingle	cancer aging single-cell sequencing gene expression transcriptomics next-generation sequencing Biology (General) QH301-705.5 Dominik Saul Robyn Laura Kosinsky Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations
description	The human aging process is associated with molecular changes and cellular degeneration, resulting in a significant increase in cancer incidence with age. Despite their potential correlation, the relationship between cancer- and ageing-related transcriptional changes is largely unknown. In this study, we aimed to analyze aging-associated transcriptional patterns in publicly available bulk mRNA-seq and single-cell RNA-seq (scRNA-seq) datasets for chronic myelogenous leukemia (CML), colorectal cancer (CRC), hepatocellular carcinoma (HCC), lung cancer (LC), and pancreatic ductal adenocarcinoma (PDAC). Indeed, we detected that various aging/senescence-induced genes (ASIGs) were upregulated in malignant diseases compared to healthy control samples. To elucidate the importance of ASIGs during cell development, pseudotime analyses were performed, which revealed a late enrichment of distinct cancer-specific ASIG signatures. Notably, we were able to demonstrate that all cancer entities analyzed in this study comprised cell populations expressing ASIGs. While only minor correlations were detected between ASIGs and transcriptome-wide changes in PDAC, a high proportion of ASIGs was induced in CML, CRC, HCC, and LC samples. These unique cellular subpopulations could serve as a basis for future studies on the role of aging and senescence in human malignancies.
format	article
author	Dominik Saul Robyn Laura Kosinsky
author_facet	Dominik Saul Robyn Laura Kosinsky
author_sort	Dominik Saul
title	Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations
title_short	Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations
title_full	Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations
title_fullStr	Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations
title_full_unstemmed	Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations
title_sort	single-cell transcriptomics reveals the expression of aging- and senescence-associated genes in distinct cancer cell populations
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5706033af5564384b011ff7e4d34807b
work_keys_str_mv	AT dominiksaul singlecelltranscriptomicsrevealstheexpressionofagingandsenescenceassociatedgenesindistinctcancercellpopulations AT robynlaurakosinsky singlecelltranscriptomicsrevealstheexpressionofagingandsenescenceassociatedgenesindistinctcancercellpopulations
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Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations

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