Evidence map›Paper›PMID 26645212›Full record

ArticleBMC genomics2015

A human 3'UTR clone collection to study post-transcriptional gene regulation.

Kasuen Kotagama, Cody S Babb, Justin M Wolter, Ronan P Murphy, Marco Mangone

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Regulation of ribosomal protein genes: An ordered anarchy.Wiley interdisciplinary reviews. RNA · 2021
    Review
  3. Article
  4. Identification of targets of tumor suppressor microRNA-34a using a reporter library system.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  5. Article
  6. Article
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

5 authors at 2 institutions in 2 countries.

Kasuen KotagamaMolecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, USA. Kasuen.Kotagama@asu.edu.
Cody S BabbVirginia G. Piper Center For Personalized Diagnostics, The Biodesign Institute at Arizona State University, Tempe, AZ, USA. Cody.Babb@asu.edu.
Justin M WolterMolecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, USA. jwo@asu.edu.
Ronan P MurphySchool of Health & Human Performance, Dublin City University, Dublin, Ireland. ronan.murphy@dcu.ie.
Marco MangoneMolecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, USA. mangone@asu.edu.
Arizona State University · USDublin City University · IE

Funding

Genetics and Genomics of Alternative Polyadenylation and miRNA Regulation in C. e - Renewal - 1R01GM118796 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MANGONE, MARCO · 2016 to 2024
$2.8M
Detection and validation of miRNA targets in breast cancerR21CA179144 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MANGONE, MARCO · 2014 to 2015
$354k
NCI NIH HHS 1R21CA179144NCI NIH HHS R21 CA179144NIGMS NIH HHS R01 GM118796
6 · The paper itself

Abstract

background3'untranslated regions (3'UTRs) are poorly understood portions of eukaryotic mRNAs essential for post-transcriptional gene regulation. Sequence elements in 3'UTRs can be target sites for regulatory molecules such as RNA binding proteins and microRNAs (miRNAs), and these interactions can exert significant control on gene networks. However, many such interactions remain uncharacterized due to a lack of high-throughput (HT) tools to study 3'UTR biology. HT cloning efforts such as the human ORFeome exemplify the potential benefits of genomic repositories for studying human disease, especially in relation to the discovery of biomarkers and targets for therapeutic agents. Currently there are no publicly available human 3'UTR libraries. To address this we have prepared the first version of the human 3'UTRome (h3'UTRome v1) library. The h3'UTRome is produced to a single high quality standard using the same recombinational cloning technology used for the human ORFeome, enabling universal operating methods and high throughput experimentation. The library is thoroughly sequenced and annotated with simple online access to information, and made publically available through gene repositories at low cost to all scientists with minimal restriction.

resultsThe first release of the h3'UTRome library comprises 1,461 human 3'UTRs cloned into Gateway® entry vectors, ready for downstream analyses. It contains 3'UTRs for 985 transcription factors, 156 kinases, 171 RNA binding proteins, and 186 other genes involved in gene regulation and in disease. We demonstrate the feasibility of the h3'UTRome library by screening a panel of 87 3'UTRs for targeting by two miRNAs: let-7c, which is implicated in tumorigenesis, and miR-221, which is implicated in atherosclerosis and heart disease. The panel is enriched with genes involved in the RAS signaling pathway, putative novel targets for the two miRNAs, as well as genes implicated in tumorigenesis and heart disease.

conclusionsThe h3'UTRome v1 library is a modular resource that can be utilized for high-throughput screens to identify regulatory interactions between trans-acting factors and 3'UTRs, Importantly, the library can be customized based on the specifications of the researcher, allowing the systematic study of human 3'UTR biology.

Indexed as

3' Untranslated RegionsRNA Processing, Post-TranscriptionalGene Expression ProfilingGene LibraryHumansReproducibility of ResultsSequence Analysis, DNATranscriptome3' Untranslated Regions

Identifiers

PMID26645212
PMCPMC4673713
OpenAlexW2193161184

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.