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Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma

INTRODUCTION: Alternative RNA splicing is a critical regulatory mechanism during tumorigenesis. However, previous oncological studies mainly focused on the splicing of individual genes. Whether and how transcript isoforms are coordinated to affect cellular functions remain underexplored. Also of gre...

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Autores principales: Hsu, Min-Kung, Pan, Chia-Lin, Chen, Feng-Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716766/
https://www.ncbi.nlm.nih.gov/pubmed/26834492
http://dx.doi.org/10.2147/OTT.S94897
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author Hsu, Min-Kung
Pan, Chia-Lin
Chen, Feng-Chi
author_facet Hsu, Min-Kung
Pan, Chia-Lin
Chen, Feng-Chi
author_sort Hsu, Min-Kung
collection PubMed
description INTRODUCTION: Alternative RNA splicing is a critical regulatory mechanism during tumorigenesis. However, previous oncological studies mainly focused on the splicing of individual genes. Whether and how transcript isoforms are coordinated to affect cellular functions remain underexplored. Also of great interest is how the splicing regulome cooperates with the transcription regulome to facilitate tumorigenesis. The answers to these questions are of fundamental importance to cancer biology. RESULTS: Here, we report a comparative study between the transcript-based network (TN) and the gene-based network (GN) derived from the transcriptomes of paired tumor–normal tissues from 77 lung adenocarcinoma patients. We demonstrate that the two networks differ significantly from each other in terms of patient clustering and the number and functions of network modules. Interestingly, the majority (89.5%) of multi-transcript genes have their transcript isoforms distributed in at least two TN modules, suggesting regulatory and functional divergences between transcript isoforms. Furthermore, TN and GN modules share onlŷ50%–60% of their biological functions. TN thus appears to constitute a regulatory layer separate from GN. Nevertheless, our results indicate that functional convergence and divergence both occur between TN and GN, implying complex interactions between the two regulatory layers. Finally, we report that the expression profiles of module members in both TN and GN shift dramatically yet concordantly during tumorigenesis. The mechanisms underlying this coordinated shifting remain unclear yet are worth further explorations. CONCLUSION: We show that in lung adenocarcinoma, transcript isoforms per se are coordinately regulated to conduct biological functions not conveyed by the network of genes. However, the two networks may interact closely with each other by sharing the same or related biological functions. Unraveling the effects and mechanisms of such interactions will significantly advance our understanding of this deadly disease.
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spelling pubmed-47167662016-02-01 Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma Hsu, Min-Kung Pan, Chia-Lin Chen, Feng-Chi Onco Targets Ther Original Research INTRODUCTION: Alternative RNA splicing is a critical regulatory mechanism during tumorigenesis. However, previous oncological studies mainly focused on the splicing of individual genes. Whether and how transcript isoforms are coordinated to affect cellular functions remain underexplored. Also of great interest is how the splicing regulome cooperates with the transcription regulome to facilitate tumorigenesis. The answers to these questions are of fundamental importance to cancer biology. RESULTS: Here, we report a comparative study between the transcript-based network (TN) and the gene-based network (GN) derived from the transcriptomes of paired tumor–normal tissues from 77 lung adenocarcinoma patients. We demonstrate that the two networks differ significantly from each other in terms of patient clustering and the number and functions of network modules. Interestingly, the majority (89.5%) of multi-transcript genes have their transcript isoforms distributed in at least two TN modules, suggesting regulatory and functional divergences between transcript isoforms. Furthermore, TN and GN modules share onlŷ50%–60% of their biological functions. TN thus appears to constitute a regulatory layer separate from GN. Nevertheless, our results indicate that functional convergence and divergence both occur between TN and GN, implying complex interactions between the two regulatory layers. Finally, we report that the expression profiles of module members in both TN and GN shift dramatically yet concordantly during tumorigenesis. The mechanisms underlying this coordinated shifting remain unclear yet are worth further explorations. CONCLUSION: We show that in lung adenocarcinoma, transcript isoforms per se are coordinately regulated to conduct biological functions not conveyed by the network of genes. However, the two networks may interact closely with each other by sharing the same or related biological functions. Unraveling the effects and mechanisms of such interactions will significantly advance our understanding of this deadly disease. Dove Medical Press 2016-01-14 /pmc/articles/PMC4716766/ /pubmed/26834492 http://dx.doi.org/10.2147/OTT.S94897 Text en © 2016 Hsu et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Hsu, Min-Kung
Pan, Chia-Lin
Chen, Feng-Chi
Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
title Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
title_full Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
title_fullStr Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
title_full_unstemmed Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
title_short Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
title_sort functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716766/
https://www.ncbi.nlm.nih.gov/pubmed/26834492
http://dx.doi.org/10.2147/OTT.S94897
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