Multi-species transcriptome meta-analysis of the response to retinoic acid in vertebrates and comparative analysis of the effects of retinol and retinoic acid on gene expression in LMH cells.


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
02 Mar 2021
Historique:
received: 23 11 2020
accepted: 18 02 2021
entrez: 3 3 2021
pubmed: 4 3 2021
medline: 15 5 2021
Statut: epublish

Résumé

Retinol (RO) and its active metabolite retinoic acid (RA) are major regulators of gene expression in vertebrates and influence various processes like organ development, cell differentiation, and immune response. To characterize a general transcriptomic response to RA-exposure in vertebrates, independent of species- and tissue-specific effects, four publicly available RNA-Seq datasets from Homo sapiens, Mus musculus, and Xenopus laevis were analyzed. To increase species and cell-type diversity we generated RNA-seq data with chicken hepatocellular carcinoma (LMH) cells. Additionally, we compared the response of LMH cells to RA and RO at different time points. By conducting a transcriptome meta-analysis, we identified three retinoic acid response core clusters (RARCCs) consisting of 27 interacting proteins, seven of which have not been associated with retinoids yet. Comparison of the transcriptional response of LMH cells to RO and RA exposure at different time points led to the identification of non-coding RNAs (ncRNAs) that are only differentially expressed (DE) during the early response. We propose that these RARCCs stand on top of a common regulatory RA hierarchy among vertebrates. Based on the protein sets included in these clusters we were able to identify an RA-response cluster, a control center type cluster, and a cluster that directs cell proliferation. Concerning the comparison of the cellular response to RA and RO we conclude that ncRNAs play an underestimated role in retinoid-mediated gene regulation.

Sections du résumé

BACKGROUND BACKGROUND
Retinol (RO) and its active metabolite retinoic acid (RA) are major regulators of gene expression in vertebrates and influence various processes like organ development, cell differentiation, and immune response. To characterize a general transcriptomic response to RA-exposure in vertebrates, independent of species- and tissue-specific effects, four publicly available RNA-Seq datasets from Homo sapiens, Mus musculus, and Xenopus laevis were analyzed. To increase species and cell-type diversity we generated RNA-seq data with chicken hepatocellular carcinoma (LMH) cells. Additionally, we compared the response of LMH cells to RA and RO at different time points.
RESULTS RESULTS
By conducting a transcriptome meta-analysis, we identified three retinoic acid response core clusters (RARCCs) consisting of 27 interacting proteins, seven of which have not been associated with retinoids yet. Comparison of the transcriptional response of LMH cells to RO and RA exposure at different time points led to the identification of non-coding RNAs (ncRNAs) that are only differentially expressed (DE) during the early response.
CONCLUSIONS CONCLUSIONS
We propose that these RARCCs stand on top of a common regulatory RA hierarchy among vertebrates. Based on the protein sets included in these clusters we were able to identify an RA-response cluster, a control center type cluster, and a cluster that directs cell proliferation. Concerning the comparison of the cellular response to RA and RO we conclude that ncRNAs play an underestimated role in retinoid-mediated gene regulation.

Identifiants

pubmed: 33653267
doi: 10.1186/s12864-021-07451-2
pii: 10.1186/s12864-021-07451-2
pmc: PMC7923837
doi:

Substances chimiques

Receptors, Retinoic Acid 0
Retinoids 0
Vitamin A 11103-57-4
Tretinoin 5688UTC01R

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

146

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Auteurs

Clemens Falker-Gieske (C)

Department of Animal Sciences, Georg-August-University, Burckhardtweg 2, 37077, Göttingen, Germany. clemens.falker-gieske@uni-goettingen.de.

Andrea Mott (A)

Department of Animal Sciences, Georg-August-University, Burckhardtweg 2, 37077, Göttingen, Germany.

Sören Franzenburg (S)

Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Rosalind-Franklin-Straße 12, 24105, Kiel, Germany.

Jens Tetens (J)

Department of Animal Sciences, Georg-August-University, Burckhardtweg 2, 37077, Göttingen, Germany.
Center for Integrated Breeding Research, Georg-August-University, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.

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Classifications MeSH