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Population variation in miRNAs and isomiRs and their impact on human immunity to infection
BACKGROUND: MicroRNAs (miRNAs) are key regulators of the immune system, yet their variation and contribution to intra- and inter-population differences in immune responses is poorly characterized. RESULTS: We generate 977 miRNA-sequencing profiles from primary monocytes from individuals of African a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391576/ https://www.ncbi.nlm.nih.gov/pubmed/32731901 http://dx.doi.org/10.1186/s13059-020-02098-w |
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author | Rotival, Maxime Siddle, Katherine J. Silvert, Martin Pothlichet, Julien Quach, Hélène Quintana-Murci, Lluis |
author_facet | Rotival, Maxime Siddle, Katherine J. Silvert, Martin Pothlichet, Julien Quach, Hélène Quintana-Murci, Lluis |
author_sort | Rotival, Maxime |
collection | PubMed |
description | BACKGROUND: MicroRNAs (miRNAs) are key regulators of the immune system, yet their variation and contribution to intra- and inter-population differences in immune responses is poorly characterized. RESULTS: We generate 977 miRNA-sequencing profiles from primary monocytes from individuals of African and European ancestry following activation of three TLR pathways (TLR4, TLR1/2, and TLR7/8) or infection with influenza A virus. We find that immune activation leads to important modifications in the miRNA and isomiR repertoire, particularly in response to viral challenges. These changes are much weaker than those observed for protein-coding genes, suggesting stronger selective constraints on the miRNA response to stimulation. This is supported by the limited genetic control of miRNA expression variability (miR-QTLs) and the lower occurrence of gene-environment interactions, in stark contrast with eQTLs that are largely context-dependent. We also detect marked differences in miRNA expression between populations, which are mostly driven by non-genetic factors. On average, miR-QTLs explain approximately 60% of population differences in expression of their cognate miRNAs and, in some cases, evolve adaptively, as shown in Europeans for a miRNA-rich cluster on chromosome 14. Finally, integrating miRNA and mRNA data from the same individuals, we provide evidence that the canonical model of miRNA-driven transcript degradation has a minor impact on miRNA-mRNA correlations, which are, in our setting, mainly driven by co-transcription. CONCLUSION: Together, our results shed new light onto the factors driving miRNA and isomiR diversity at the population level and constitute a useful resource for evaluating their role in host differences of immunity to infection. |
format | Online Article Text |
id | pubmed-7391576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73915762020-07-31 Population variation in miRNAs and isomiRs and their impact on human immunity to infection Rotival, Maxime Siddle, Katherine J. Silvert, Martin Pothlichet, Julien Quach, Hélène Quintana-Murci, Lluis Genome Biol Research BACKGROUND: MicroRNAs (miRNAs) are key regulators of the immune system, yet their variation and contribution to intra- and inter-population differences in immune responses is poorly characterized. RESULTS: We generate 977 miRNA-sequencing profiles from primary monocytes from individuals of African and European ancestry following activation of three TLR pathways (TLR4, TLR1/2, and TLR7/8) or infection with influenza A virus. We find that immune activation leads to important modifications in the miRNA and isomiR repertoire, particularly in response to viral challenges. These changes are much weaker than those observed for protein-coding genes, suggesting stronger selective constraints on the miRNA response to stimulation. This is supported by the limited genetic control of miRNA expression variability (miR-QTLs) and the lower occurrence of gene-environment interactions, in stark contrast with eQTLs that are largely context-dependent. We also detect marked differences in miRNA expression between populations, which are mostly driven by non-genetic factors. On average, miR-QTLs explain approximately 60% of population differences in expression of their cognate miRNAs and, in some cases, evolve adaptively, as shown in Europeans for a miRNA-rich cluster on chromosome 14. Finally, integrating miRNA and mRNA data from the same individuals, we provide evidence that the canonical model of miRNA-driven transcript degradation has a minor impact on miRNA-mRNA correlations, which are, in our setting, mainly driven by co-transcription. CONCLUSION: Together, our results shed new light onto the factors driving miRNA and isomiR diversity at the population level and constitute a useful resource for evaluating their role in host differences of immunity to infection. BioMed Central 2020-07-30 /pmc/articles/PMC7391576/ /pubmed/32731901 http://dx.doi.org/10.1186/s13059-020-02098-w Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Rotival, Maxime Siddle, Katherine J. Silvert, Martin Pothlichet, Julien Quach, Hélène Quintana-Murci, Lluis Population variation in miRNAs and isomiRs and their impact on human immunity to infection |
title | Population variation in miRNAs and isomiRs and their impact on human immunity to infection |
title_full | Population variation in miRNAs and isomiRs and their impact on human immunity to infection |
title_fullStr | Population variation in miRNAs and isomiRs and their impact on human immunity to infection |
title_full_unstemmed | Population variation in miRNAs and isomiRs and their impact on human immunity to infection |
title_short | Population variation in miRNAs and isomiRs and their impact on human immunity to infection |
title_sort | population variation in mirnas and isomirs and their impact on human immunity to infection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391576/ https://www.ncbi.nlm.nih.gov/pubmed/32731901 http://dx.doi.org/10.1186/s13059-020-02098-w |
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