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Telomere maintenance pathway activity analysis enables tissue- and gene-level inferences

View ORCID ProfileLilit Nersisyan, Arman Simonyan, Hans Binder, View ORCID ProfileArsen Arakelyan
doi: https://doi.org/10.1101/2021.02.01.429081
Lilit Nersisyan
1Bioinformatics Group, Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
2Pathverse, LLC, Yerevan, Armenia
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  • For correspondence: l_nersisyan@mb.sci.am
Arman Simonyan
1Bioinformatics Group, Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
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Hans Binder
3Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
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Arsen Arakelyan
1Bioinformatics Group, Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
2Pathverse, LLC, Yerevan, Armenia
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ABSTRACT

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.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 02, 2021.
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Telomere maintenance pathway activity analysis enables tissue- and gene-level inferences
Lilit Nersisyan, Arman Simonyan, Hans Binder, Arsen Arakelyan
bioRxiv 2021.02.01.429081; doi: https://doi.org/10.1101/2021.02.01.429081
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Telomere maintenance pathway activity analysis enables tissue- and gene-level inferences
Lilit Nersisyan, Arman Simonyan, Hans Binder, Arsen Arakelyan
bioRxiv 2021.02.01.429081; doi: https://doi.org/10.1101/2021.02.01.429081

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