UTRome.org statistics

info info

Citations per year


Tool usage distribution map

info info

Associated diseases


Popular tool citations

chevron_left Genomic databases chevron_right
Want to access the full stats & trends on this tool?

UTRome.org specifications


Unique identifier OMICS_03145
Name UTRome.org
Alternative names UTRome, 3’UTRome
Restrictions to use None
Community driven No
Data access File download, Browse
User data submission Not allowed
Maintained Yes


  • Invertebrates
    • Caenorhabditis elegans


  • person_outline Marco Mangone

Publications for UTRome.org

UTRome.org citations


Mutant HSPB1 causes loss of translational repression by binding to PCBP1, an RNA binding protein with a possible role in neurodegenerative disease

PMCID: 5225548
PMID: 28077174
DOI: 10.1186/s40478-016-0407-3

[…] able S3). Interestingly, and in line with what was recently reported for Staufen targets [, ], the average length of the 5′-UTR of PCBP1 mRNA targets was significantly larger than that in the mouse 5′UTRome (258 bases for PCBP1 targets versus 160 bases for the mouse 5′UTRome, Wilcoxon rank sum test p ≤ 0,0001; Fig. ). In addition, our data showed an enrichment of mRNA targets bound by PCBP1 with l […]


A Compendium of Caenorhabditis elegans RNA Binding Proteins Predicts Extensive Regulation at Multiple Levels

PMCID: 3564989
PMID: 23390605
DOI: 10.1534/g3.112.004390

[…] enome-wide datasets were downloaded from their respective databases or publications. TF binding data were obtained from (). RIP-Chip data for three RBPs were obtained from (; ; ). 3′ UTRs were from 3′UTRome annotations, kindly provided by Marco Mangone. These annotations are reflective of two independent large scale datasets (; ). TargetScan miRNA target predictions were downloaded from http://www […]


Construction and Analysis of an Integrated Regulatory Network Derived from High Throughput Sequencing Data

PLoS Comput Biol
PMCID: 3219617
PMID: 22125477
DOI: 10.1371/journal.pcbi.1002190

[…] higher eukaryotes, and applied the methods using high-throughput data from C. elegans, human and mouse. Our framework makes use of the ChIP-Seq binding profiles of TFs, RNA-Seq expression profiles, 3′UTRome and protein-protein interactions. Several recent genome-scale studies that have attempted to integrate regulation by TF and miRNAs are limited in terms of their datasets. For instance, the work […]

Want to access the full list of citations?
UTRome.org institution(s)
Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, USA; Virginia G. Piper Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, USA; Barrett Honors College, Arizona State University, Tempe, AZ, USA; College of Letters and Sciences, Interdisciplinary Studies, Biological Sciences and Informatics, Arizona State University, Tempe, AZ, USA
UTRome.org funding source(s)
Supported by National Institutes of Health (NIH) grants 1R21CA179144 and 1R01GM118796.

UTRome.org reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review UTRome.org