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Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep

Long non-coding RNAs (lncRNAs) are involved in several biological processes, including the immune system response to pathogens and vaccines. The annotation and functional characterization of lncRNAs is more advanced in humans than in livestock species. Here, we take advantage of the increasing numbe...

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Autores principales: Bilbao-Arribas, Martin, Jugo, Begoña M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725098/
https://www.ncbi.nlm.nih.gov/pubmed/36482891
http://dx.doi.org/10.3389/fgene.2022.1067350
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author Bilbao-Arribas, Martin
Jugo, Begoña M.
author_facet Bilbao-Arribas, Martin
Jugo, Begoña M.
author_sort Bilbao-Arribas, Martin
collection PubMed
description Long non-coding RNAs (lncRNAs) are involved in several biological processes, including the immune system response to pathogens and vaccines. The annotation and functional characterization of lncRNAs is more advanced in humans than in livestock species. Here, we take advantage of the increasing number of high-throughput functional experiments deposited in public databases in order to uniformly analyse, profile unannotated lncRNAs and integrate 422 ovine RNA-seq samples from the ovine immune system. We identified 12302 unannotated lncRNA genes with support from independent CAGE-seq and histone modification ChIP-seq assays. Unannotated lncRNAs showed low expression levels and sequence conservation across other mammal species. There were differences in expression levels depending on the genomic location-based lncRNA classification. Differential expression analyses between unstimulated and samples stimulated with pathogen infection or vaccination resulted in hundreds of lncRNAs with changed expression. Gene co-expression analyses revealed immune gene-enriched clusters associated with immune system activation and related to interferon signalling, antiviral response or endoplasmic reticulum stress. Besides, differential co-expression networks were constructed in order to find condition-specific relationships between coding genes and lncRNAs. Overall, using a diverse set of immune system samples and bioinformatic approaches we identify several ovine lncRNAs associated with the response to an external stimulus. These findings help in the improvement of the ovine lncRNA catalogue and provide sheep-specific evidence for the implication in the general immune response for several lncRNAs.
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spelling pubmed-97250982022-12-07 Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep Bilbao-Arribas, Martin Jugo, Begoña M. Front Genet Genetics Long non-coding RNAs (lncRNAs) are involved in several biological processes, including the immune system response to pathogens and vaccines. The annotation and functional characterization of lncRNAs is more advanced in humans than in livestock species. Here, we take advantage of the increasing number of high-throughput functional experiments deposited in public databases in order to uniformly analyse, profile unannotated lncRNAs and integrate 422 ovine RNA-seq samples from the ovine immune system. We identified 12302 unannotated lncRNA genes with support from independent CAGE-seq and histone modification ChIP-seq assays. Unannotated lncRNAs showed low expression levels and sequence conservation across other mammal species. There were differences in expression levels depending on the genomic location-based lncRNA classification. Differential expression analyses between unstimulated and samples stimulated with pathogen infection or vaccination resulted in hundreds of lncRNAs with changed expression. Gene co-expression analyses revealed immune gene-enriched clusters associated with immune system activation and related to interferon signalling, antiviral response or endoplasmic reticulum stress. Besides, differential co-expression networks were constructed in order to find condition-specific relationships between coding genes and lncRNAs. Overall, using a diverse set of immune system samples and bioinformatic approaches we identify several ovine lncRNAs associated with the response to an external stimulus. These findings help in the improvement of the ovine lncRNA catalogue and provide sheep-specific evidence for the implication in the general immune response for several lncRNAs. Frontiers Media S.A. 2022-11-22 /pmc/articles/PMC9725098/ /pubmed/36482891 http://dx.doi.org/10.3389/fgene.2022.1067350 Text en Copyright © 2022 Bilbao-Arribas and Jugo. 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
Bilbao-Arribas, Martin
Jugo, Begoña M.
Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep
title Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep
title_full Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep
title_fullStr Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep
title_full_unstemmed Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep
title_short Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep
title_sort transcriptomic meta-analysis reveals unannotated long non-coding rnas related to the immune response in sheep
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9725098/
https://www.ncbi.nlm.nih.gov/pubmed/36482891
http://dx.doi.org/10.3389/fgene.2022.1067350
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