Evidence map›Paper›PMID 24633241›Full record

ArticleNature biotechnology2014

Massively parallel functional annotation of 3' untranslated regions.

Wenxue Zhao, Joshua L Pollack, Denitza P Blagev, Noah Zaitlen, Michael T McManus, David J Erle

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 137 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Decoding thebioRxiv : the preprint server for biology · 2026
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  11. Human Synthetic Biology and Programmable Gene Regulation Control.Annual review of genomics and human genetics · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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  20. Review

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Wenxue ZhaoLung Biology Center, University of California San Francisco, San Francisco, California, USA.
Joshua L PollackLung Biology Center, University of California San Francisco, San Francisco, California, USA.
Denitza P BlagevLung Biology Center, University of California San Francisco, San Francisco, California, USA.
Noah ZaitlenLung Biology Center, University of California San Francisco, San Francisco, California, USA.
Michael T McManus1] Diabetes Center, University of California San Francisco, San Francisco, California, USA. [2] Department of Microbiology and Immunology, University of California San Francisco, San Francisco, California, USA.
David J ErleLung Biology Center, University of California San Francisco, San Francisco, California, USA.
University of California, San Francisco · US

Funding

Understanding Asthma EndotypesU19AI077439 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David J Erle · 2008 to 2026
$41.1M
Micro-RNAs in airway epithelial differentiation and asthmaR21HL108596 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ERLE, DAVID J · 2011 to 2012
$416k
Tools for high-throughput functional analysis of 3' UTR cis-regulatory elementsR21HG004665 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ERLE, DAVID J · 2008 to 2009
$386k
NHGRI NIH HHS R21 HG004665NHLBI NIH HHS R21 HL108596NIAID NIH HHS U19 AI077439
6 · The paper itself

Abstract

Functional characterization of noncoding sequences is crucial for understanding the human genome and learning how genetic variation contributes to disease. 3' untranslated regions (UTRs) are an important class of noncoding sequences, but their functions remain largely uncharacterized. We developed a method for massively parallel functional annotation of sequences from 3' UTRs (fast-UTR) and used this approach to measure the effects of a total of >450 kilobases of 3' UTR sequences from >2,000 human genes on steady-state mRNA abundance, mRNA stability and protein production. We found widespread regulatory effects on mRNA that were coupled to effects on mRNA stability and protein production. Furthermore, we discovered 87 novel cis-regulatory elements and measured the effects of genetic variation within known and novel 3' UTR motifs. This work shows how massively parallel approaches can improve the functional annotation of noncoding sequences, advance our understanding of cis-regulatory mechanisms and quantify the effects of human genetic variation.

Indexed as

3' Untranslated RegionsGenome, HumanGenomicsHumansMicroRNAsMolecular Sequence AnnotationRNA, MessengerSequence Analysis, RNA3' Untranslated RegionsMicroRNAsRNA, Messenger

Identifiers

PMID24633241
PMCPMC3981918
OpenAlexW2061942838

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.