Cargando…

Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells

The gene expression networks of a single cell can be used to reveal cell type- and condition-specific patterns that account for cell states, cell identity, and its responses to environmental changes. We applied single cell sequencing datasets to define mRNA patterns and visualized potential cellular...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Jin, Lu, Ran, Jin, Chen, Li, Siying, Chen, Yulin, Huang, Qiaorong, Li, Xue, Meng, Wentong, Wu, Hong, Wen, Tianfu, Mo, Xianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393770/
https://www.ncbi.nlm.nih.gov/pubmed/37539322
http://dx.doi.org/10.1016/j.heliyon.2023.e18305
_version_ 1785083216178184192
author Zhao, Jin
Lu, Ran
Jin, Chen
Li, Siying
Chen, Yulin
Huang, Qiaorong
Li, Xue
Meng, Wentong
Wu, Hong
Wen, Tianfu
Mo, Xianming
author_facet Zhao, Jin
Lu, Ran
Jin, Chen
Li, Siying
Chen, Yulin
Huang, Qiaorong
Li, Xue
Meng, Wentong
Wu, Hong
Wen, Tianfu
Mo, Xianming
author_sort Zhao, Jin
collection PubMed
description The gene expression networks of a single cell can be used to reveal cell type- and condition-specific patterns that account for cell states, cell identity, and its responses to environmental changes. We applied single cell sequencing datasets to define mRNA patterns and visualized potential cellular capacities among hepatocellular cancer cells. The expressing numbers and levels of genes were highly heterogenous among the cancer cells. The cellular characteristics were dependent strongly on the expressing numbers and levels of genes, especially oncogenes and anti-oncogenes, in an individual cancer cell. The transcriptional activations of oncogenes and anti-oncogenes were strongly linked to inherent multiple cellular programs, some of which oppose and contend against other processes, in a cancer cell. The gene expression networks of multiple cellular programs proliferation, differentiation, apoptosis, autophagy, epithelial-mesenchymal transition, ATP production, and neurogenesis coexisted in an individual cancer cell. The findings give rise a hypothesis that a cancer cell expresses balanced combinations of genes and undergoes a given biological process by rapidly transmuting gene expressing networks.
format Online
Article
Text
id pubmed-10393770
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-103937702023-08-03 Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells Zhao, Jin Lu, Ran Jin, Chen Li, Siying Chen, Yulin Huang, Qiaorong Li, Xue Meng, Wentong Wu, Hong Wen, Tianfu Mo, Xianming Heliyon Research Article The gene expression networks of a single cell can be used to reveal cell type- and condition-specific patterns that account for cell states, cell identity, and its responses to environmental changes. We applied single cell sequencing datasets to define mRNA patterns and visualized potential cellular capacities among hepatocellular cancer cells. The expressing numbers and levels of genes were highly heterogenous among the cancer cells. The cellular characteristics were dependent strongly on the expressing numbers and levels of genes, especially oncogenes and anti-oncogenes, in an individual cancer cell. The transcriptional activations of oncogenes and anti-oncogenes were strongly linked to inherent multiple cellular programs, some of which oppose and contend against other processes, in a cancer cell. The gene expression networks of multiple cellular programs proliferation, differentiation, apoptosis, autophagy, epithelial-mesenchymal transition, ATP production, and neurogenesis coexisted in an individual cancer cell. The findings give rise a hypothesis that a cancer cell expresses balanced combinations of genes and undergoes a given biological process by rapidly transmuting gene expressing networks. Elsevier 2023-07-17 /pmc/articles/PMC10393770/ /pubmed/37539322 http://dx.doi.org/10.1016/j.heliyon.2023.e18305 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Zhao, Jin
Lu, Ran
Jin, Chen
Li, Siying
Chen, Yulin
Huang, Qiaorong
Li, Xue
Meng, Wentong
Wu, Hong
Wen, Tianfu
Mo, Xianming
Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells
title Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells
title_full Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells
title_fullStr Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells
title_full_unstemmed Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells
title_short Gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells
title_sort gene expression networks involved in multiple cellular programs coexist in individual hepatocellular cancer cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393770/
https://www.ncbi.nlm.nih.gov/pubmed/37539322
http://dx.doi.org/10.1016/j.heliyon.2023.e18305
work_keys_str_mv AT zhaojin geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT luran geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT jinchen geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT lisiying geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT chenyulin geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT huangqiaorong geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT lixue geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT mengwentong geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT wuhong geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT wentianfu geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells
AT moxianming geneexpressionnetworksinvolvedinmultiplecellularprogramscoexistinindividualhepatocellularcancercells