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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Cells |
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| Online Access: | https://www.mdpi.com/2073-4409/10/11/3126 |
| _version_ | 1797510789886640128 |
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| author | Dominik Saul Robyn Laura Kosinsky |
| author_facet | Dominik Saul Robyn Laura Kosinsky |
| author_sort | Dominik Saul |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:36:16Z |
| format | Article |
| id | doaj.art-5706033af5564384b011ff7e4d34807b |
| institution | Directory Open Access Journal |
| issn | 2073-4409 |
| language | English |
| last_indexed | 2024-03-10T05:36:16Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cells |
| spelling | doaj.art-5706033af5564384b011ff7e4d34807b2023-11-22T22:51:41ZengMDPI AGCells2073-44092021-11-011011312610.3390/cells10113126Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell PopulationsDominik Saul0Robyn Laura Kosinsky1Division of Endocrinology, Mayo Clinic, Rochester, MN 55902, USADivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55902, USAThe 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.https://www.mdpi.com/2073-4409/10/11/3126canceragingsingle-cell sequencinggene expressiontranscriptomicsnext-generation sequencing |
| spellingShingle | Dominik Saul Robyn Laura Kosinsky Single-Cell Transcriptomics Reveals the Expression of Aging- and Senescence-Associated Genes in Distinct Cancer Cell Populations Cells cancer aging single-cell sequencing gene expression transcriptomics next-generation sequencing |
| title | 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_short | 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 |
| topic | cancer aging single-cell sequencing gene expression transcriptomics next-generation sequencing |
| url | https://www.mdpi.com/2073-4409/10/11/3126 |
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