Affordable Access

deepdyve-link
Publisher Website

An intricate network of conserved DNA upstream motifs and associated transcription factors regulate the expression of uromodulin gene.

Authors
  • Srivastava, Rajneesh1
  • Micanovic, Radmila2
  • El-Achkar, Tarek M3
  • Janga, Sarath Chandra4
  • 1 Department of Biohealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Indianapolis, Indiana. , (India)
  • 2 Division of Nephrology, Department of Medicine, School of Medicine, Indiana University and Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana; Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University and Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana. , (India)
  • 3 Division of Nephrology, Department of Medicine, School of Medicine, Indiana University and Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana; Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University and Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana. Electronic address: [email protected] , (India)
  • 4 Department of Biohealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Indianapolis, Indiana; Department of Medical and Molecular Genetics, School of Medicine, Indiana University and Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana; Center for Computational Biology and Bioinformatics, School of Medicine, Indiana University and Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana. Electronic address: [email protected] , (India)
Type
Published Article
Journal
The Journal of urology
Publication Date
Sep 01, 2014
Volume
192
Issue
3
Pages
981–989
Identifiers
DOI: 10.1016/j.juro.2014.02.095
PMID: 24594405
Source
Medline
Keywords
License
Unknown

Abstract

Our findings will form a map for understanding the regulation of uromodulin expression in health and disease.

Report this publication

Statistics

Seen <100 times