Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human Transcripts

Posttranscriptional regulatory programs governing diverse aspects of RNA biology remain largely uncharacterized. Understanding the functional roles of RNA cis-regulatory elements is essential for decoding complex programs that underlie the dynamic regulation of transcript stability, splicing, locali...

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Main Authors: Panos Oikonomou, Hani Goodarzi, Saeed Tavazoie
Format: Article
Language:English
Published: Elsevier 2014-04-01
Series:Cell Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2211124714001594
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spelling doaj-e6fcf4b66e594626b7983a8aaa906d4d2020-11-25T01:28:16ZengElsevierCell Reports2211-12472014-04-017128129210.1016/j.celrep.2014.03.001Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human TranscriptsPanos Oikonomou0Hani Goodarzi1Saeed Tavazoie2Joint Centers for Systems Biology, Columbia University, New York, NY 10032, USAJoint Centers for Systems Biology, Columbia University, New York, NY 10032, USAJoint Centers for Systems Biology, Columbia University, New York, NY 10032, USAPosttranscriptional regulatory programs governing diverse aspects of RNA biology remain largely uncharacterized. Understanding the functional roles of RNA cis-regulatory elements is essential for decoding complex programs that underlie the dynamic regulation of transcript stability, splicing, localization, and translation. Here, we describe a combined experimental/computational technology to reveal a catalog of functional regulatory elements embedded in 3′ UTRs of human transcripts. We used a bidirectional reporter system coupled with flow cytometry and high-throughput sequencing to measure the effect of short, noncoding, vertebrate-conserved RNA sequences on transcript stability and translation. Information-theoretic motif analysis of the resulting sequence-to-gene-expression mapping revealed linear and structural RNA cis-regulatory elements that positively and negatively modulate the posttranscriptional fates of human transcripts. This combined experimental/computational strategy can be used to systematically characterize the vast landscape of posttranscriptional regulatory elements controlling physiological and pathological cellular state transitions.http://www.sciencedirect.com/science/article/pii/S2211124714001594
collection DOAJ
language English
format Article
sources DOAJ
author Panos Oikonomou
Hani Goodarzi
Saeed Tavazoie
spellingShingle Panos Oikonomou
Hani Goodarzi
Saeed Tavazoie
Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human Transcripts
Cell Reports
author_facet Panos Oikonomou
Hani Goodarzi
Saeed Tavazoie
author_sort Panos Oikonomou
title Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human Transcripts
title_short Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human Transcripts
title_full Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human Transcripts
title_fullStr Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human Transcripts
title_full_unstemmed Systematic Identification of Regulatory Elements in Conserved 3′ UTRs of Human Transcripts
title_sort systematic identification of regulatory elements in conserved 3′ utrs of human transcripts
publisher Elsevier
series Cell Reports
issn 2211-1247
publishDate 2014-04-01
description Posttranscriptional regulatory programs governing diverse aspects of RNA biology remain largely uncharacterized. Understanding the functional roles of RNA cis-regulatory elements is essential for decoding complex programs that underlie the dynamic regulation of transcript stability, splicing, localization, and translation. Here, we describe a combined experimental/computational technology to reveal a catalog of functional regulatory elements embedded in 3′ UTRs of human transcripts. We used a bidirectional reporter system coupled with flow cytometry and high-throughput sequencing to measure the effect of short, noncoding, vertebrate-conserved RNA sequences on transcript stability and translation. Information-theoretic motif analysis of the resulting sequence-to-gene-expression mapping revealed linear and structural RNA cis-regulatory elements that positively and negatively modulate the posttranscriptional fates of human transcripts. This combined experimental/computational strategy can be used to systematically characterize the vast landscape of posttranscriptional regulatory elements controlling physiological and pathological cellular state transitions.
url http://www.sciencedirect.com/science/article/pii/S2211124714001594
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