Literature DB >> 16917072

Background gene expression in rat kidney: influence of strain, gender, and diet.

Shawn D Seidel1, Shao-Ching Hung, H Lynn Kan, B Bhaskar Gollapudi.   

Abstract

In order to gain better insight into factors (strain, gender, and diet) influencing background variability in kidney gene expression, we examined the transcriptomes of male and female Crl:CD(SD)IGSBR (Sprague-Dawley [SD]) and CDF(Fischer 344)/CrlBR rats maintained for 19 days on three different diets (ad libitum [AL], diet restriction-75% of AL, and casein-based phytoestrogen-free diet). Kidney RNA was analyzed using Agilent Rat oligo microarrays (approximately 20,000 genes). Principal component analysis demonstrated that strain and gender have the most impact on the variability in gene expression, while diet had a lesser effect. The majority of the affected genes differed by a magnitude of four-fold or less between strains/gender, with some previously known to be sex-hormone regulated (SLC22A7 and SLC21A1). One gene of particular interest was ornithine decarboxylase, a significant marker of cell proliferation and tumor promotion, which was expressed at an 18-fold greater level in SD rats. Further analysis revealed that the difference in expression was due to the use of an alternate polyadenylation signal resulting in the production of two different sizes of transcripts. These results demonstrate that gender and strain have significant influence on gene expression which could be a confounder when comparing results, especially when it involves predictive fingerprint/patterns.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16917072     DOI: 10.1093/toxsci/kfl082

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  6 in total

1.  Temporal Expression and Cellular Localization of PAPPA2 in the Developing Kidney of Rat.

Authors:  Vikash Kumar; Chun Yang; Allen W Cowley
Journal:  J Histochem Cytochem       Date:  2020-01-28       Impact factor: 2.479

Review 2.  Different strokes for different folks: the rich diversity of animal models of focal cerebral ischemia.

Authors:  David W Howells; Michelle J Porritt; Sarah S J Rewell; Victoria O'Collins; Emily S Sena; H Bart van der Worp; Richard J Traystman; Malcolm R Macleod
Journal:  J Cereb Blood Flow Metab       Date:  2010-05-19       Impact factor: 6.200

3.  Expression patterns of the aquaporin gene family during renal development: influence of genetic variability.

Authors:  Kleber S Parreira; Huguette Debaix; Yvette Cnops; Lars Geffers; Olivier Devuyst
Journal:  Pflugers Arch       Date:  2009-04-16       Impact factor: 3.657

4.  mRNA levels in control rat liver display strain-specific, hereditary, and AHR-dependent components.

Authors:  Paul C Boutros; Ivy D Moffat; Allan B Okey; Raimo Pohjanvirta
Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

5.  Comparison of hybridization-based and sequencing-based gene expression technologies on biological replicates.

Authors:  Fang Liu; Tor-Kristian Jenssen; Jeff Trimarchi; Claudio Punzo; Connie L Cepko; Lucila Ohno-Machado; Eivind Hovig; Winston Patrick Kuo
Journal:  BMC Genomics       Date:  2007-06-07       Impact factor: 3.969

6.  Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories.

Authors:  Michael J Boedigheimer; Russell D Wolfinger; Michael B Bass; Pierre R Bushel; Jeff W Chou; Matthew Cooper; J Christopher Corton; Jennifer Fostel; Susan Hester; Janice S Lee; Fenglong Liu; Jie Liu; Hui-Rong Qian; John Quackenbush; Syril Pettit; Karol L Thompson
Journal:  BMC Genomics       Date:  2008-06-12       Impact factor: 3.969

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.