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In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer
Competitive endogenous RNA (ceRNA) networks are reported to play a crucial role in regulating cancer-associated genes. Identification of novel ceRNA networks in gallbladder cancer (GBC) may improve the understanding of its pathogenesis and might yield useful leads on potential therapeutic targets fo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978489/ https://www.ncbi.nlm.nih.gov/pubmed/36873948 http://dx.doi.org/10.3389/fgene.2023.1107614 |
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author | Saklani, Neeraj Chauhan, Varnit Akhtar, Javed Upadhyay, Santosh Kumar Sirdeshmukh, Ravi Gautam, Poonam |
author_facet | Saklani, Neeraj Chauhan, Varnit Akhtar, Javed Upadhyay, Santosh Kumar Sirdeshmukh, Ravi Gautam, Poonam |
author_sort | Saklani, Neeraj |
collection | PubMed |
description | Competitive endogenous RNA (ceRNA) networks are reported to play a crucial role in regulating cancer-associated genes. Identification of novel ceRNA networks in gallbladder cancer (GBC) may improve the understanding of its pathogenesis and might yield useful leads on potential therapeutic targets for GBC. For this, a literature survey was done to identify differentially expressed lncRNAs (DELs), miRNAs (DEMs), mRNAs (DEGs) and proteins (DEPs) in GBC. Ingenuity pathway analysis (IPA) using DEMs, DEGs and DEPs in GBC identified 242 experimentally observed miRNA-mRNA interactions with 183 miRNA targets, of these 9 (CDX2, MTDH, TAGLN, TOP2A, TSPAN8, EZH2, TAGLN2, LMNB1, and PTMA) were reported at both mRNA and protein levels. Pathway analysis of 183 targets revealed p53 signaling among the top pathway. Protein-protein interaction (PPI) analysis of 183 targets using the STRING database and cytoHubba plug-in of Cytoscape software revealed 5 hub molecules, of which 3 of them (TP53, CCND1 and CTNNB1) were associated with the p53 signaling pathway. Further, using Diana tools and Cytoscape software, novel lncRNA-miRNA-mRNA networks regulating the expression of TP53, CCND1, CTNNB1, CDX2, MTDH, TOP2A, TSPAN8, EZH2, TAGLN2, LMNB1, and PTMA were constructed. These regulatory networks may be experimentally validated in GBC and explored for therapeutic applications. |
format | Online Article Text |
id | pubmed-9978489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99784892023-03-03 In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer Saklani, Neeraj Chauhan, Varnit Akhtar, Javed Upadhyay, Santosh Kumar Sirdeshmukh, Ravi Gautam, Poonam Front Genet Genetics Competitive endogenous RNA (ceRNA) networks are reported to play a crucial role in regulating cancer-associated genes. Identification of novel ceRNA networks in gallbladder cancer (GBC) may improve the understanding of its pathogenesis and might yield useful leads on potential therapeutic targets for GBC. For this, a literature survey was done to identify differentially expressed lncRNAs (DELs), miRNAs (DEMs), mRNAs (DEGs) and proteins (DEPs) in GBC. Ingenuity pathway analysis (IPA) using DEMs, DEGs and DEPs in GBC identified 242 experimentally observed miRNA-mRNA interactions with 183 miRNA targets, of these 9 (CDX2, MTDH, TAGLN, TOP2A, TSPAN8, EZH2, TAGLN2, LMNB1, and PTMA) were reported at both mRNA and protein levels. Pathway analysis of 183 targets revealed p53 signaling among the top pathway. Protein-protein interaction (PPI) analysis of 183 targets using the STRING database and cytoHubba plug-in of Cytoscape software revealed 5 hub molecules, of which 3 of them (TP53, CCND1 and CTNNB1) were associated with the p53 signaling pathway. Further, using Diana tools and Cytoscape software, novel lncRNA-miRNA-mRNA networks regulating the expression of TP53, CCND1, CTNNB1, CDX2, MTDH, TOP2A, TSPAN8, EZH2, TAGLN2, LMNB1, and PTMA were constructed. These regulatory networks may be experimentally validated in GBC and explored for therapeutic applications. Frontiers Media S.A. 2023-02-16 /pmc/articles/PMC9978489/ /pubmed/36873948 http://dx.doi.org/10.3389/fgene.2023.1107614 Text en Copyright © 2023 Saklani, Chauhan, Akhtar, Upadhyay, Sirdeshmukh and Gautam. 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 Saklani, Neeraj Chauhan, Varnit Akhtar, Javed Upadhyay, Santosh Kumar Sirdeshmukh, Ravi Gautam, Poonam In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer |
title |
In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer |
title_full |
In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer |
title_fullStr |
In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer |
title_full_unstemmed |
In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer |
title_short |
In silico analysis to identify novel ceRNA regulatory axes associated with gallbladder cancer |
title_sort | in silico analysis to identify novel cerna regulatory axes associated with gallbladder cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978489/ https://www.ncbi.nlm.nih.gov/pubmed/36873948 http://dx.doi.org/10.3389/fgene.2023.1107614 |
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