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Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation

Recent studies show that RNA-binding proteins (RBPs) and microRNAs (miRNAs) function in coordination with each other to control post-transcriptional regulation (PTR). Despite this, the majority of research to date has focused on the regulatory effect of individual RBPs or miRNAs. Here, we mapped bot...

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Autores principales: HafezQorani, Saber, Lafzi, Atefeh, de Bruin, Ruben G., van Zonneveld, Anton Jan, van der Veer, Eric P., Son, Yeşim Aydın, Kazan, Hilal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872080/
https://www.ncbi.nlm.nih.gov/pubmed/26837572
http://dx.doi.org/10.1093/nar/gkw048
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author HafezQorani, Saber
Lafzi, Atefeh
de Bruin, Ruben G.
van Zonneveld, Anton Jan
van der Veer, Eric P.
Son, Yeşim Aydın
Kazan, Hilal
author_facet HafezQorani, Saber
Lafzi, Atefeh
de Bruin, Ruben G.
van Zonneveld, Anton Jan
van der Veer, Eric P.
Son, Yeşim Aydın
Kazan, Hilal
author_sort HafezQorani, Saber
collection PubMed
description Recent studies show that RNA-binding proteins (RBPs) and microRNAs (miRNAs) function in coordination with each other to control post-transcriptional regulation (PTR). Despite this, the majority of research to date has focused on the regulatory effect of individual RBPs or miRNAs. Here, we mapped both RBP and miRNA binding sites on human 3′UTRs and utilized this collection to better understand PTR. We show that the transcripts that lack competition for HuR binding are destabilized more after HuR depletion. We also confirm this finding for PUM1(2) by measuring genome-wide expression changes following the knockdown of PUM1(2) in HEK293 cells. Next, to find potential cooperative interactions, we identified the pairs of factors whose sites co-localize more often than expected by random chance. Upon examining these results for PUM1(2), we found that transcripts where the sites of PUM1(2) and its interacting miRNA form a stem-loop are more stabilized upon PUM1(2) depletion. Finally, using dinucleotide frequency and counts of regulatory sites as features in a regression model, we achieved an AU-ROC of 0.86 in predicting mRNA half-life in BEAS-2B cells. Altogether, our results suggest that future studies of PTR must consider the combined effects of RBPs and miRNAs, as well as their interactions.
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spelling pubmed-48720802016-05-27 Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation HafezQorani, Saber Lafzi, Atefeh de Bruin, Ruben G. van Zonneveld, Anton Jan van der Veer, Eric P. Son, Yeşim Aydın Kazan, Hilal Nucleic Acids Res Methods Online Recent studies show that RNA-binding proteins (RBPs) and microRNAs (miRNAs) function in coordination with each other to control post-transcriptional regulation (PTR). Despite this, the majority of research to date has focused on the regulatory effect of individual RBPs or miRNAs. Here, we mapped both RBP and miRNA binding sites on human 3′UTRs and utilized this collection to better understand PTR. We show that the transcripts that lack competition for HuR binding are destabilized more after HuR depletion. We also confirm this finding for PUM1(2) by measuring genome-wide expression changes following the knockdown of PUM1(2) in HEK293 cells. Next, to find potential cooperative interactions, we identified the pairs of factors whose sites co-localize more often than expected by random chance. Upon examining these results for PUM1(2), we found that transcripts where the sites of PUM1(2) and its interacting miRNA form a stem-loop are more stabilized upon PUM1(2) depletion. Finally, using dinucleotide frequency and counts of regulatory sites as features in a regression model, we achieved an AU-ROC of 0.86 in predicting mRNA half-life in BEAS-2B cells. Altogether, our results suggest that future studies of PTR must consider the combined effects of RBPs and miRNAs, as well as their interactions. Oxford University Press 2016-05-19 2016-02-02 /pmc/articles/PMC4872080/ /pubmed/26837572 http://dx.doi.org/10.1093/nar/gkw048 Text en © The Author(s) 2016. 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 Methods Online
HafezQorani, Saber
Lafzi, Atefeh
de Bruin, Ruben G.
van Zonneveld, Anton Jan
van der Veer, Eric P.
Son, Yeşim Aydın
Kazan, Hilal
Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
title Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
title_full Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
title_fullStr Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
title_full_unstemmed Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
title_short Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
title_sort modeling the combined effect of rna-binding proteins and micrornas in post-transcriptional regulation
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872080/
https://www.ncbi.nlm.nih.gov/pubmed/26837572
http://dx.doi.org/10.1093/nar/gkw048
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