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Characterization of the mammalian miRNA turnover landscape

Steady state cellular microRNA (miRNA) levels represent the balance between miRNA biogenesis and turnover. The kinetics and sequence determinants of mammalian miRNA turnover during and after miRNA maturation are not fully understood. Through a large-scale study on mammalian miRNA turnover, we report...

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Autores principales: Guo, Yanwen, Liu, Jun, Elfenbein, Sarah J., Ma, Yinghong, Zhong, Mei, Qiu, Caihong, Ding, Ye, Lu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
RNA
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344502/
https://www.ncbi.nlm.nih.gov/pubmed/25653157
http://dx.doi.org/10.1093/nar/gkv057
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author Guo, Yanwen
Liu, Jun
Elfenbein, Sarah J.
Ma, Yinghong
Zhong, Mei
Qiu, Caihong
Ding, Ye
Lu, Jun
author_facet Guo, Yanwen
Liu, Jun
Elfenbein, Sarah J.
Ma, Yinghong
Zhong, Mei
Qiu, Caihong
Ding, Ye
Lu, Jun
author_sort Guo, Yanwen
collection PubMed
description Steady state cellular microRNA (miRNA) levels represent the balance between miRNA biogenesis and turnover. The kinetics and sequence determinants of mammalian miRNA turnover during and after miRNA maturation are not fully understood. Through a large-scale study on mammalian miRNA turnover, we report the co-existence of multiple cellular miRNA pools with distinct turnover kinetics and biogenesis properties and reveal previously unrecognized sequence features for fast turnover miRNAs. We measured miRNA turnover rates in eight mammalian cell types with a combination of expression profiling and deep sequencing. While most miRNAs are stable, a subset of miRNAs, mostly miRNA*s, turnovers quickly, many of which display a two-step turnover kinetics. Moreover, different sequence isoforms of the same miRNA can possess vastly different turnover rates. Fast turnover miRNA isoforms are enriched for 5′ nucleotide bias against Argonaute-(AGO)-loading, but also additional 3′ and central sequence features. Modeling based on two fast turnover miRNA*s miR-222-5p and miR-125b-1-3p, we unexpectedly found that while both miRNA*s are associated with AGO, they strongly differ in HSP90 association and sensitivity to HSP90 inhibition. Our data characterize the landscape of genome-wide miRNA turnover in cultured mammalian cells and reveal differential HSP90 requirements for different miRNA*s. Our findings also implicate rules for designing stable small RNAs, such as siRNAs.
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spelling pubmed-43445022015-03-17 Characterization of the mammalian miRNA turnover landscape Guo, Yanwen Liu, Jun Elfenbein, Sarah J. Ma, Yinghong Zhong, Mei Qiu, Caihong Ding, Ye Lu, Jun Nucleic Acids Res RNA Steady state cellular microRNA (miRNA) levels represent the balance between miRNA biogenesis and turnover. The kinetics and sequence determinants of mammalian miRNA turnover during and after miRNA maturation are not fully understood. Through a large-scale study on mammalian miRNA turnover, we report the co-existence of multiple cellular miRNA pools with distinct turnover kinetics and biogenesis properties and reveal previously unrecognized sequence features for fast turnover miRNAs. We measured miRNA turnover rates in eight mammalian cell types with a combination of expression profiling and deep sequencing. While most miRNAs are stable, a subset of miRNAs, mostly miRNA*s, turnovers quickly, many of which display a two-step turnover kinetics. Moreover, different sequence isoforms of the same miRNA can possess vastly different turnover rates. Fast turnover miRNA isoforms are enriched for 5′ nucleotide bias against Argonaute-(AGO)-loading, but also additional 3′ and central sequence features. Modeling based on two fast turnover miRNA*s miR-222-5p and miR-125b-1-3p, we unexpectedly found that while both miRNA*s are associated with AGO, they strongly differ in HSP90 association and sensitivity to HSP90 inhibition. Our data characterize the landscape of genome-wide miRNA turnover in cultured mammalian cells and reveal differential HSP90 requirements for different miRNA*s. Our findings also implicate rules for designing stable small RNAs, such as siRNAs. Oxford University Press 2015-02-27 2015-02-04 /pmc/articles/PMC4344502/ /pubmed/25653157 http://dx.doi.org/10.1093/nar/gkv057 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle RNA
Guo, Yanwen
Liu, Jun
Elfenbein, Sarah J.
Ma, Yinghong
Zhong, Mei
Qiu, Caihong
Ding, Ye
Lu, Jun
Characterization of the mammalian miRNA turnover landscape
title Characterization of the mammalian miRNA turnover landscape
title_full Characterization of the mammalian miRNA turnover landscape
title_fullStr Characterization of the mammalian miRNA turnover landscape
title_full_unstemmed Characterization of the mammalian miRNA turnover landscape
title_short Characterization of the mammalian miRNA turnover landscape
title_sort characterization of the mammalian mirna turnover landscape
topic RNA
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344502/
https://www.ncbi.nlm.nih.gov/pubmed/25653157
http://dx.doi.org/10.1093/nar/gkv057
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