Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

RBPMetaDB: A comprehensive annotation of mouse RNA-Seq datasets with perturbations of RNA-binding proteins

Jin Li, Su-Ping Deng, Jacob Vieira, James Thomas, Valerio Costa, Ching-San Tseng, Franjo Ivankovic, Alfredo Ciccodicola, Peng Yu
doi: https://doi.org/10.1101/326116
Jin Li
1Department of Electrical and Computer Engineering, College Station, TX 77843, USA.
2TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Su-Ping Deng
1Department of Electrical and Computer Engineering, College Station, TX 77843, USA.
2TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jacob Vieira
3The Department of Microbiology, University of Massachusetts Amherst, Amherst, MA, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James Thomas
4Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, College of Medicine, University of Florida, Gainesville, Florida, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Valerio Costa
5Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Consiglio Nazionale delle Ricerche, Via P. Castellino 111, 80131 Naples, Italy.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ching-San Tseng
6Institute of Cellular and Organismic Biology, Academia Sinica, Taipei, 11529, Taiwan.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Franjo Ivankovic
4Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, College of Medicine, University of Florida, Gainesville, Florida, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alfredo Ciccodicola
5Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, Consiglio Nazionale delle Ricerche, Via P. Castellino 111, 80131 Naples, Italy.
7Department of Science and Technology, University Parthenope of Naples, 80131 Naples, Italy.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peng Yu
1Department of Electrical and Computer Engineering, College Station, TX 77843, USA.
2TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: pengyu.bio@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

RNA-binding proteins may play a critical role in gene regulation in various diseases or biological processes by controlling post-transcriptional events such as polyadenylation, splicing, and mRNA stabilization via binding activities to RNA molecules. Due to the importance of RNA-binding proteins in gene regulation, a great number of studies have been conducted, resulting in a large amount of RNA-Seq datasets. However, these datasets usually do not have structured organization of metadata, which limits their potentially wide use. To bridge this gap, the metadata of a comprehensive set of publicly available mouse RNA-Seq datasets with perturbed RNA-binding proteins were collected and integrated into a database called RBPMetaDB. This database contains 278 mouse RNA-Seq datasets for a comprehensive list of 163 RNA-binding proteins. These RNA-binding proteins account for only ∼10% of all known RNA-binding proteins annotated in Gene Ontology, indicating that most are still unexplored using high-throughput sequencing. This negative information provides a great pool of candidate RNA-binding proteins for biologists to conduct future experimental studies. In addition, we found that DNA-binding activities are significantly enriched among RNA-binding proteins in RBPMetaDB, suggesting that prior studies of these DNA- and RNA-binding factors focus more on DNA-binding activities instead of RNA-binding activities. This result reveals the opportunity to efficiently reuse these data for investigation of the roles of their RNA-binding activities. A web application has also been implemented to enable easy access and wide use of RBPMetaDB. It is expected that RBPMetaDB will be a great resource for improving understanding of the biological roles of RNA-binding proteins.

Database URL: http://rbpmetadb.yubiolab.org

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted May 24, 2018.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
RBPMetaDB: A comprehensive annotation of mouse RNA-Seq datasets with perturbations of RNA-binding proteins
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
RBPMetaDB: A comprehensive annotation of mouse RNA-Seq datasets with perturbations of RNA-binding proteins
Jin Li, Su-Ping Deng, Jacob Vieira, James Thomas, Valerio Costa, Ching-San Tseng, Franjo Ivankovic, Alfredo Ciccodicola, Peng Yu
bioRxiv 326116; doi: https://doi.org/10.1101/326116
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
RBPMetaDB: A comprehensive annotation of mouse RNA-Seq datasets with perturbations of RNA-binding proteins
Jin Li, Su-Ping Deng, Jacob Vieira, James Thomas, Valerio Costa, Ching-San Tseng, Franjo Ivankovic, Alfredo Ciccodicola, Peng Yu
bioRxiv 326116; doi: https://doi.org/10.1101/326116

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3686)
  • Biochemistry (7782)
  • Bioengineering (5673)
  • Bioinformatics (21257)
  • Biophysics (10565)
  • Cancer Biology (8165)
  • Cell Biology (11917)
  • Clinical Trials (138)
  • Developmental Biology (6748)
  • Ecology (10392)
  • Epidemiology (2065)
  • Evolutionary Biology (13847)
  • Genetics (9699)
  • Genomics (13061)
  • Immunology (8133)
  • Microbiology (19975)
  • Molecular Biology (7840)
  • Neuroscience (43004)
  • Paleontology (318)
  • Pathology (1276)
  • Pharmacology and Toxicology (2257)
  • Physiology (3350)
  • Plant Biology (7218)
  • Scientific Communication and Education (1309)
  • Synthetic Biology (2000)
  • Systems Biology (5529)
  • Zoology (1126)