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Functional inference of long non-coding RNAs through exploration of highly conserved regions

Background: Long non-coding RNAs (lncRNAs), which are generally less functionally characterized or less annotated, evolve more rapidly than mRNAs and substantially possess fewer sequence conservation patterns than protein-coding genes across divergent species. People assume that the functional infer...

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Autores principales: Liu, Zhongpeng, Guo, Tianbin, Yin, Zhuoda, Zeng, Yanluo, Liu, Haiwen, Yin, Hongyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229068/
https://www.ncbi.nlm.nih.gov/pubmed/37260771
http://dx.doi.org/10.3389/fgene.2023.1177259
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author Liu, Zhongpeng
Guo, Tianbin
Yin, Zhuoda
Zeng, Yanluo
Liu, Haiwen
Yin, Hongyan
author_facet Liu, Zhongpeng
Guo, Tianbin
Yin, Zhuoda
Zeng, Yanluo
Liu, Haiwen
Yin, Hongyan
author_sort Liu, Zhongpeng
collection PubMed
description Background: Long non-coding RNAs (lncRNAs), which are generally less functionally characterized or less annotated, evolve more rapidly than mRNAs and substantially possess fewer sequence conservation patterns than protein-coding genes across divergent species. People assume that the functional inference could be conducted on the evolutionarily conserved long non-coding RNAs as they are most likely to be functional. In the past decades, substantial progress has been made in discussions on the evolutionary conservation of non-coding genomic regions from multiple perspectives. However, understanding their conservation and the functions associated with sequence conservation in relation to further corresponding phenotypic variability or disorders still remains incomplete. Results: Accordingly, we determined a highly conserved region (HCR) to verify the sequence conservation among long non-coding RNAs and systematically profiled homologous long non-coding RNA clusters in humans and mice based on the detection of highly conserved regions. Moreover, according to homolog clustering, we explored the potential function inference via highly conserved regions on representative long non-coding RNAs. On lncRNA XACT, we investigated the potential functional competence between XACT and lncRNA XIST by recruiting miRNA-29a, regulating the downstream target genes. In addition, on lncRNA LINC00461, we examined the interaction relationship between LINC00461 and SND1. This interaction or association may be perturbed during the progression of glioma. In addition, we have constructed a website with user-friendly web interfaces for searching, analyzing, and downloading to present the homologous clusters of humans and mice. Conclusion: Collectively, homolog clustering via the highly conserved region definition and detection on long non-coding RNAs, as well as the functional explorations on representative sequences in our research, would provide new evidence for the potential function of long non-coding RNAs. Our results on the remarkable roles of long non-coding RNAs would presumably provide a new theoretical basis and candidate diagnostic indicators for tumors.
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spelling pubmed-102290682023-05-31 Functional inference of long non-coding RNAs through exploration of highly conserved regions Liu, Zhongpeng Guo, Tianbin Yin, Zhuoda Zeng, Yanluo Liu, Haiwen Yin, Hongyan Front Genet Genetics Background: Long non-coding RNAs (lncRNAs), which are generally less functionally characterized or less annotated, evolve more rapidly than mRNAs and substantially possess fewer sequence conservation patterns than protein-coding genes across divergent species. People assume that the functional inference could be conducted on the evolutionarily conserved long non-coding RNAs as they are most likely to be functional. In the past decades, substantial progress has been made in discussions on the evolutionary conservation of non-coding genomic regions from multiple perspectives. However, understanding their conservation and the functions associated with sequence conservation in relation to further corresponding phenotypic variability or disorders still remains incomplete. Results: Accordingly, we determined a highly conserved region (HCR) to verify the sequence conservation among long non-coding RNAs and systematically profiled homologous long non-coding RNA clusters in humans and mice based on the detection of highly conserved regions. Moreover, according to homolog clustering, we explored the potential function inference via highly conserved regions on representative long non-coding RNAs. On lncRNA XACT, we investigated the potential functional competence between XACT and lncRNA XIST by recruiting miRNA-29a, regulating the downstream target genes. In addition, on lncRNA LINC00461, we examined the interaction relationship between LINC00461 and SND1. This interaction or association may be perturbed during the progression of glioma. In addition, we have constructed a website with user-friendly web interfaces for searching, analyzing, and downloading to present the homologous clusters of humans and mice. Conclusion: Collectively, homolog clustering via the highly conserved region definition and detection on long non-coding RNAs, as well as the functional explorations on representative sequences in our research, would provide new evidence for the potential function of long non-coding RNAs. Our results on the remarkable roles of long non-coding RNAs would presumably provide a new theoretical basis and candidate diagnostic indicators for tumors. Frontiers Media S.A. 2023-05-16 /pmc/articles/PMC10229068/ /pubmed/37260771 http://dx.doi.org/10.3389/fgene.2023.1177259 Text en Copyright © 2023 Liu, Guo, Yin, Zeng, Liu and Yin. 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
Liu, Zhongpeng
Guo, Tianbin
Yin, Zhuoda
Zeng, Yanluo
Liu, Haiwen
Yin, Hongyan
Functional inference of long non-coding RNAs through exploration of highly conserved regions
title Functional inference of long non-coding RNAs through exploration of highly conserved regions
title_full Functional inference of long non-coding RNAs through exploration of highly conserved regions
title_fullStr Functional inference of long non-coding RNAs through exploration of highly conserved regions
title_full_unstemmed Functional inference of long non-coding RNAs through exploration of highly conserved regions
title_short Functional inference of long non-coding RNAs through exploration of highly conserved regions
title_sort functional inference of long non-coding rnas through exploration of highly conserved regions
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229068/
https://www.ncbi.nlm.nih.gov/pubmed/37260771
http://dx.doi.org/10.3389/fgene.2023.1177259
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