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Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease

The abundance of mRNA is mainly determined by the rates of RNA transcription and decay. Here, we present a method for unbiased estimation of differential mRNA decay rate from RNA-sequencing data by modeling the kinetics of mRNA metabolism. We show that in all primary human tissues tested, and partic...

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Autores principales: Alkallas, Rached, Fish, Lisa, Goodarzi, Hani, Najafabadi, Hamed S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714957/
https://www.ncbi.nlm.nih.gov/pubmed/29030541
http://dx.doi.org/10.1038/s41467-017-00867-z
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author Alkallas, Rached
Fish, Lisa
Goodarzi, Hani
Najafabadi, Hamed S.
author_facet Alkallas, Rached
Fish, Lisa
Goodarzi, Hani
Najafabadi, Hamed S.
author_sort Alkallas, Rached
collection PubMed
description The abundance of mRNA is mainly determined by the rates of RNA transcription and decay. Here, we present a method for unbiased estimation of differential mRNA decay rate from RNA-sequencing data by modeling the kinetics of mRNA metabolism. We show that in all primary human tissues tested, and particularly in the central nervous system, many pathways are regulated at the mRNA stability level. We present a parsimonious regulatory model consisting of two RNA-binding proteins and four microRNAs that modulate the mRNA stability landscape of the brain, which suggests a new link between RBFOX proteins and Alzheimer’s disease. We show that downregulation of RBFOX1 leads to destabilization of mRNAs encoding for synaptic transmission proteins, which may contribute to the loss of synaptic function in Alzheimer’s disease. RBFOX1 downregulation is more likely to occur in older and female individuals, consistent with the association of Alzheimer’s disease with age and gender.
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spelling pubmed-57149572017-12-06 Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease Alkallas, Rached Fish, Lisa Goodarzi, Hani Najafabadi, Hamed S. Nat Commun Article The abundance of mRNA is mainly determined by the rates of RNA transcription and decay. Here, we present a method for unbiased estimation of differential mRNA decay rate from RNA-sequencing data by modeling the kinetics of mRNA metabolism. We show that in all primary human tissues tested, and particularly in the central nervous system, many pathways are regulated at the mRNA stability level. We present a parsimonious regulatory model consisting of two RNA-binding proteins and four microRNAs that modulate the mRNA stability landscape of the brain, which suggests a new link between RBFOX proteins and Alzheimer’s disease. We show that downregulation of RBFOX1 leads to destabilization of mRNAs encoding for synaptic transmission proteins, which may contribute to the loss of synaptic function in Alzheimer’s disease. RBFOX1 downregulation is more likely to occur in older and female individuals, consistent with the association of Alzheimer’s disease with age and gender. Nature Publishing Group UK 2017-10-13 /pmc/articles/PMC5714957/ /pubmed/29030541 http://dx.doi.org/10.1038/s41467-017-00867-z Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Alkallas, Rached
Fish, Lisa
Goodarzi, Hani
Najafabadi, Hamed S.
Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease
title Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease
title_full Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease
title_fullStr Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease
title_full_unstemmed Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease
title_short Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease
title_sort inference of rna decay rate from transcriptional profiling highlights the regulatory programs of alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714957/
https://www.ncbi.nlm.nih.gov/pubmed/29030541
http://dx.doi.org/10.1038/s41467-017-00867-z
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