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Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification

BACKGROUND: Long non-coding RNAs (lncRNAs) are defined as transcribed molecules longer than 200 nucleotides with little to no protein-coding potential. LncRNAs can regulate gene expression of nearby genes (cis-acting) or genes located on other chromosomes (trans-acting). Several methodologies have b...

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Autores principales: Tenorio, Mariela, Serwatowska, Joanna, Fernandez-Valverde, Selene L., Oktaba, Katarzyna, Cortez, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405410/
https://www.ncbi.nlm.nih.gov/pubmed/37550606
http://dx.doi.org/10.1186/s12864-023-09545-5
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author Tenorio, Mariela
Serwatowska, Joanna
Fernandez-Valverde, Selene L.
Oktaba, Katarzyna
Cortez, Diego
author_facet Tenorio, Mariela
Serwatowska, Joanna
Fernandez-Valverde, Selene L.
Oktaba, Katarzyna
Cortez, Diego
author_sort Tenorio, Mariela
collection PubMed
description BACKGROUND: Long non-coding RNAs (lncRNAs) are defined as transcribed molecules longer than 200 nucleotides with little to no protein-coding potential. LncRNAs can regulate gene expression of nearby genes (cis-acting) or genes located on other chromosomes (trans-acting). Several methodologies have been developed to capture lncRNAs associated with chromatin at a genome-wide level. Analysis of RNA-DNA contacts can be combined with epigenetic and RNA-seq data to define potential lncRNAs involved in the regulation of gene expression. RESULTS: We performed Chromatin Associated RNA sequencing (ChAR-seq) in Anolis carolinensis to obtain the genome-wide map of the associations that RNA molecules have with chromatin. We analyzed the frequency of DNA contacts for different classes of RNAs and were able to define cis- and trans-acting lncRNAs. We integrated the ChAR-seq map of RNA-DNA contacts with epigenetic data for the acetylation of lysine 16 on histone H4 (H4K16ac), a mark connected to actively transcribed chromatin in lizards. We successfully identified three trans-acting lncRNAs significantly associated with the H4K16ac signal, which are likely involved in the regulation of gene expression in A. carolinensis. CONCLUSIONS: We show that the ChAR-seq method is a powerful tool to explore the RNA-DNA map of interactions. Moreover, in combination with epigenetic data, ChAR-seq can be applied in non-model species to establish potential roles for predicted lncRNAs that lack functional annotations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09545-5.
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spelling pubmed-104054102023-08-08 Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification Tenorio, Mariela Serwatowska, Joanna Fernandez-Valverde, Selene L. Oktaba, Katarzyna Cortez, Diego BMC Genomics Research BACKGROUND: Long non-coding RNAs (lncRNAs) are defined as transcribed molecules longer than 200 nucleotides with little to no protein-coding potential. LncRNAs can regulate gene expression of nearby genes (cis-acting) or genes located on other chromosomes (trans-acting). Several methodologies have been developed to capture lncRNAs associated with chromatin at a genome-wide level. Analysis of RNA-DNA contacts can be combined with epigenetic and RNA-seq data to define potential lncRNAs involved in the regulation of gene expression. RESULTS: We performed Chromatin Associated RNA sequencing (ChAR-seq) in Anolis carolinensis to obtain the genome-wide map of the associations that RNA molecules have with chromatin. We analyzed the frequency of DNA contacts for different classes of RNAs and were able to define cis- and trans-acting lncRNAs. We integrated the ChAR-seq map of RNA-DNA contacts with epigenetic data for the acetylation of lysine 16 on histone H4 (H4K16ac), a mark connected to actively transcribed chromatin in lizards. We successfully identified three trans-acting lncRNAs significantly associated with the H4K16ac signal, which are likely involved in the regulation of gene expression in A. carolinensis. CONCLUSIONS: We show that the ChAR-seq method is a powerful tool to explore the RNA-DNA map of interactions. Moreover, in combination with epigenetic data, ChAR-seq can be applied in non-model species to establish potential roles for predicted lncRNAs that lack functional annotations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09545-5. BioMed Central 2023-08-07 /pmc/articles/PMC10405410/ /pubmed/37550606 http://dx.doi.org/10.1186/s12864-023-09545-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tenorio, Mariela
Serwatowska, Joanna
Fernandez-Valverde, Selene L.
Oktaba, Katarzyna
Cortez, Diego
Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification
title Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification
title_full Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification
title_fullStr Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification
title_full_unstemmed Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification
title_short Genome-wide analysis of RNA-chromatin interactions in lizards as a mean for functional lncRNA identification
title_sort genome-wide analysis of rna-chromatin interactions in lizards as a mean for functional lncrna identification
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405410/
https://www.ncbi.nlm.nih.gov/pubmed/37550606
http://dx.doi.org/10.1186/s12864-023-09545-5
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