New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes

Regulatory RNA structures are often members of families with multiple paralogous instances across the genome. Family members share functional and structural properties, which allow them to be studied as a whole, facilitating both bioinformatic and experimental characterization. We have developed a c...

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Main Authors: Kellis, Manolis, Parker, Brian J., Moltke, Ida, Roth, Adam, Washietl, Stefan, Wen, Jiayu, Breaker, Ronald, Pedersen, Jakob Skou
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Cold Spring Harbor Laboratory Press 2012
Online Access:http://hdl.handle.net/1721.1/73065
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author Kellis, Manolis
Parker, Brian J.
Moltke, Ida
Roth, Adam
Washietl, Stefan
Wen, Jiayu
Breaker, Ronald
Pedersen, Jakob Skou
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Kellis, Manolis
Parker, Brian J.
Moltke, Ida
Roth, Adam
Washietl, Stefan
Wen, Jiayu
Breaker, Ronald
Pedersen, Jakob Skou
author_sort Kellis, Manolis
collection MIT
description Regulatory RNA structures are often members of families with multiple paralogous instances across the genome. Family members share functional and structural properties, which allow them to be studied as a whole, facilitating both bioinformatic and experimental characterization. We have developed a comparative method, EvoFam, for genome-wide identification of families of regulatory RNA structures, based on primary sequence and secondary structure similarity. We apply EvoFam to a 41-way genomic vertebrate alignment. Genome-wide, we identify 220 human, high-confidence families outside protein-coding regions comprising 725 individual structures, including 48 families with known structural RNA elements. Known families identified include both noncoding RNAs, e.g., miRNAs and the recently identified MALAT1/MEN β lincRNA family; and cis-regulatory structures, e.g., iron-responsive elements. We also identify tens of new families supported by strong evolutionary evidence and other statistical evidence, such as GO term enrichments. For some of these, detailed analysis has led to the formulation of specific functional hypotheses. Examples include two hypothesized auto-regulatory feedback mechanisms: one involving six long hairpins in the 3′-UTR of MAT2A, a key metabolic gene that produces the primary human methyl donor S-adenosylmethionine; the other involving a tRNA-like structure in the intron of the tRNA maturation gene POP1. We experimentally validate the predicted MAT2A structures. Finally, we identify potential new regulatory networks, including large families of short hairpins enriched in immunity-related genes, e.g., TNF, FOS, and CTLA4, which include known transcript destabilizing elements. Our findings exemplify the diversity of post-transcriptional regulation and provide a resource for further characterization of new regulatory mechanisms and families of noncoding RNAs.
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spelling mit-1721.1/730652022-09-30T15:16:23Z New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes Kellis, Manolis Parker, Brian J. Moltke, Ida Roth, Adam Washietl, Stefan Wen, Jiayu Breaker, Ronald Pedersen, Jakob Skou Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Kellis, Manolis Washietl, Stefan Regulatory RNA structures are often members of families with multiple paralogous instances across the genome. Family members share functional and structural properties, which allow them to be studied as a whole, facilitating both bioinformatic and experimental characterization. We have developed a comparative method, EvoFam, for genome-wide identification of families of regulatory RNA structures, based on primary sequence and secondary structure similarity. We apply EvoFam to a 41-way genomic vertebrate alignment. Genome-wide, we identify 220 human, high-confidence families outside protein-coding regions comprising 725 individual structures, including 48 families with known structural RNA elements. Known families identified include both noncoding RNAs, e.g., miRNAs and the recently identified MALAT1/MEN β lincRNA family; and cis-regulatory structures, e.g., iron-responsive elements. We also identify tens of new families supported by strong evolutionary evidence and other statistical evidence, such as GO term enrichments. For some of these, detailed analysis has led to the formulation of specific functional hypotheses. Examples include two hypothesized auto-regulatory feedback mechanisms: one involving six long hairpins in the 3′-UTR of MAT2A, a key metabolic gene that produces the primary human methyl donor S-adenosylmethionine; the other involving a tRNA-like structure in the intron of the tRNA maturation gene POP1. We experimentally validate the predicted MAT2A structures. Finally, we identify potential new regulatory networks, including large families of short hairpins enriched in immunity-related genes, e.g., TNF, FOS, and CTLA4, which include known transcript destabilizing elements. Our findings exemplify the diversity of post-transcriptional regulation and provide a resource for further characterization of new regulatory mechanisms and families of noncoding RNAs. Austrian Science Fund (Erwin Schrodinger Fellowship) 2012-09-20T16:00:13Z 2012-09-20T16:00:13Z 2011-10 2011-03 Article http://purl.org/eprint/type/JournalArticle 1088-9051 http://hdl.handle.net/1721.1/73065 Parker, B. J. et al. “New Families of Human Regulatory RNA Structures Identified by Comparative Analysis of Vertebrate Genomes.” Genome Research 21.11 (2011): 1929–1943. © 2011 by Cold Spring Harbor Laboratory Press en_US http://dx.doi.org/10.1101/gr.112516.110 Genome Research Creative Commons Attribution-NonCommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/ application/pdf Cold Spring Harbor Laboratory Press Genome Research
spellingShingle Kellis, Manolis
Parker, Brian J.
Moltke, Ida
Roth, Adam
Washietl, Stefan
Wen, Jiayu
Breaker, Ronald
Pedersen, Jakob Skou
New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes
title New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes
title_full New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes
title_fullStr New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes
title_full_unstemmed New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes
title_short New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes
title_sort new families of human regulatory rna structures identified by comparative analysis of vertebrate genomes
url http://hdl.handle.net/1721.1/73065
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