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Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences
Telomere maintenance is one of the mechanisms ensuring indefinite divisions of cancer and stem cells. Good understanding of telomere maintenance mechanisms (TMM) is important for studying cancers and designing therapies. However, molecular factors triggering selective activation of either the telome...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058386/ https://www.ncbi.nlm.nih.gov/pubmed/33897770 http://dx.doi.org/10.3389/fgene.2021.662464 |
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author | Nersisyan, Lilit Simonyan, Arman Binder, Hans Arakelyan, Arsen |
author_facet | Nersisyan, Lilit Simonyan, Arman Binder, Hans Arakelyan, Arsen |
author_sort | Nersisyan, Lilit |
collection | PubMed |
description | Telomere maintenance is one of the mechanisms ensuring indefinite divisions of cancer and stem cells. Good understanding of telomere maintenance mechanisms (TMM) is important for studying cancers and designing therapies. However, molecular factors triggering selective activation of either the telomerase dependent (TEL) or the alternative lengthening of telomeres (ALT) pathway are poorly understood. In addition, more accurate and easy-to-use methodologies are required for TMM phenotyping. In this study, we have performed literature based reconstruction of signaling pathways for the ALT and TEL TMMs. Gene expression data were used for computational assessment of TMM pathway activities and compared with experimental assays for TEL and ALT. Explicit consideration of pathway topology makes bioinformatics analysis more informative compared to computational methods based on simple summary measures of gene expression. Application to healthy human tissues showed high ALT and TEL pathway activities in testis, and identified genes and pathways that may trigger TMM activation. Our approach offers a novel option for systematic investigation of TMM activation patterns across cancers and healthy tissues for dissecting pathway-based molecular markers with diagnostic impact. |
format | Online Article Text |
id | pubmed-8058386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80583862021-04-22 Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences Nersisyan, Lilit Simonyan, Arman Binder, Hans Arakelyan, Arsen Front Genet Genetics Telomere maintenance is one of the mechanisms ensuring indefinite divisions of cancer and stem cells. Good understanding of telomere maintenance mechanisms (TMM) is important for studying cancers and designing therapies. However, molecular factors triggering selective activation of either the telomerase dependent (TEL) or the alternative lengthening of telomeres (ALT) pathway are poorly understood. In addition, more accurate and easy-to-use methodologies are required for TMM phenotyping. In this study, we have performed literature based reconstruction of signaling pathways for the ALT and TEL TMMs. Gene expression data were used for computational assessment of TMM pathway activities and compared with experimental assays for TEL and ALT. Explicit consideration of pathway topology makes bioinformatics analysis more informative compared to computational methods based on simple summary measures of gene expression. Application to healthy human tissues showed high ALT and TEL pathway activities in testis, and identified genes and pathways that may trigger TMM activation. Our approach offers a novel option for systematic investigation of TMM activation patterns across cancers and healthy tissues for dissecting pathway-based molecular markers with diagnostic impact. Frontiers Media S.A. 2021-04-07 /pmc/articles/PMC8058386/ /pubmed/33897770 http://dx.doi.org/10.3389/fgene.2021.662464 Text en Copyright © 2021 Nersisyan, Simonyan, Binder and Arakelyan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Nersisyan, Lilit Simonyan, Arman Binder, Hans Arakelyan, Arsen Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences |
title | Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences |
title_full | Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences |
title_fullStr | Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences |
title_full_unstemmed | Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences |
title_short | Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences |
title_sort | telomere maintenance pathway activity analysis enables tissue- and gene-level inferences |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058386/ https://www.ncbi.nlm.nih.gov/pubmed/33897770 http://dx.doi.org/10.3389/fgene.2021.662464 |
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