Literature DB >> 11698685

Project normal: defining normal variance in mouse gene expression.

C C Pritchard1, L Hsu, J Delrow, P S Nelson.   

Abstract

The mouse has become an indispensable and versatile model organism for the study of development, genetics, behavior, and disease. The application of comprehensive gene expression profiling technologies to compare normal and diseased tissues or to assess molecular alterations resulting from various experimental interventions has the potential to provide highly detailed qualitative and quantitative descriptions of these processes. Ideally, to interpret experimental data, the magnitude and diversity of gene expression for the system under study should be well characterized, yet little is known about the normal variation of mouse gene expression in vivo. To assess natural differences in murine gene expression, we used a 5406-clone spotted cDNA microarray to quantitate transcript levels in the kidney, liver, and testis from each of 6 normal male C57BL6 mice. We used ANOVA to compare the variance across the six mice to the variance among four replicate experiments performed for each mouse tissue. For the 6 kidney samples, 102 of 3,088 genes (3.3%) exhibited a statistically significant mouse variance at a level of 0.05. In the testis, 62 of 3,252 genes (1.9%) showed statistically significant variance, and in the liver, there were 21 of 2,514 (0.8%) genes with significantly variable expression. Immune-modulated, stress-induced, and hormonally regulated genes were highly represented among the transcripts that were most variable. The expression levels of several genes varied significantly in more than one tissue. These studies help to define the baseline level of variability in mouse gene expression and emphasize the importance of replicate microarray experiments.

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Year:  2001        PMID: 11698685      PMCID: PMC60859          DOI: 10.1073/pnas.221465998

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

1.  Rapid and diverse changes of gene expression in the kidneys of protein-overload proteinuria mice detected by microarray analysis.

Authors:  Y Nagasawa; M Takenaka; J Kaimori; Y Matsuoka; Y Akagi; M Tsujie; E Imai; M Hori
Journal:  Nephrol Dial Transplant       Date:  2001-05       Impact factor: 5.992

Review 2.  Quantitation of RNA using the polymerase chain reaction.

Authors:  K P Foley; M W Leonard; J D Engel
Journal:  Trends Genet       Date:  1993-11       Impact factor: 11.639

3.  Prostate short-chain dehydrogenase reductase 1 (PSDR1): a new member of the short-chain steroid dehydrogenase/reductase family highly expressed in normal and neoplastic prostate epithelium.

Authors:  B Lin; J T White; C Ferguson; S Wang; R Vessella; R Bumgarner; L D True; L Hood; P S Nelson
Journal:  Cancer Res       Date:  2001-02-15       Impact factor: 12.701

4.  Yeast microarrays for genome wide parallel genetic and gene expression analysis.

Authors:  D A Lashkari; J L DeRisi; J H McCusker; A F Namath; C Gentile; S Y Hwang; P O Brown; R W Davis
Journal:  Proc Natl Acad Sci U S A       Date:  1997-11-25       Impact factor: 11.205

5.  Cloning and expression of two human lysophosphatidic acid acyltransferase cDNAs that enhance cytokine-induced signaling responses in cells.

Authors:  J West; C K Tompkins; N Balantac; E Nudelman; B Meengs; T White; S Bursten; J Coleman; A Kumar; J W Singer; D W Leung
Journal:  DNA Cell Biol       Date:  1997-06       Impact factor: 3.311

6.  Differential gene expression of livers from ApoE deficient mice.

Authors:  G S Huang; S M Yang; M Y Hong; P C Yang; Y C Liu
Journal:  Life Sci       Date:  2000-11-24       Impact factor: 5.037

7.  Expression profiling of acetaminophen liver toxicity in mice using microarray technology.

Authors:  T P Reilly; M Bourdi; J N Brady; C A Pise-Masison; M F Radonovich; J W George; L R Pohl
Journal:  Biochem Biophys Res Commun       Date:  2001-03-23       Impact factor: 3.575

8.  Microarray expression profiling identifies genes with altered expression in HDL-deficient mice.

Authors:  M J Callow; S Dudoit; E L Gong; T P Speed; E M Rubin
Journal:  Genome Res       Date:  2000-12       Impact factor: 9.043

9.  Control of inflammation, cytokine expression, and germinal center formation by BCL-6.

Authors:  A L Dent; A L Shaffer; X Yu; D Allman; L M Staudt
Journal:  Science       Date:  1997-04-25       Impact factor: 47.728

10.  Adipsin expression and growth in rats as influenced by insulin and somatotropin.

Authors:  J L Miner; J C Byatt; C A Baile; G G Krivi
Journal:  Physiol Behav       Date:  1993-08
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  78 in total

1.  Three color cDNA microarrays: quantitative assessment through the use of fluorescein-labeled probes.

Authors:  Martin J Hessner; Xujing Wang; Katie Hulse; Lisa Meyer; Yan Wu; Steven Nye; Sun-Wei Guo; Soumitra Ghosh
Journal:  Nucleic Acids Res       Date:  2003-02-15       Impact factor: 16.971

2.  Expression profiling with oligonucleotide arrays: technologies and applications for neurobiology.

Authors:  Timothy J Sendera; David Dorris; Ramesh Ramakrishnan; Allen Nguyen; Dionisios Trakas; Abhijit Mazumder
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

3.  Use of a three-color cDNA microarray platform to measure and control support-bound probe for improved data quality and reproducibility.

Authors:  Martin J Hessner; Xujing Wang; Shehnaz Khan; Lisa Meyer; Michael Schlicht; Jennifer Tackes; Milton W Datta; Howard J Jacob; Soumitra Ghosh
Journal:  Nucleic Acids Res       Date:  2003-06-01       Impact factor: 16.971

Review 4.  Sources of variance in baseline gene expression in the rodent liver.

Authors:  J Christopher Corton; Pierre R Bushel; Jennifer Fostel; Raegan B O'Lone
Journal:  Mutat Res       Date:  2012-01-05       Impact factor: 2.433

5.  Natural variation in cardiac metabolism and gene expression in Fundulus heteroclitus.

Authors:  Marjorie F Oleksiak; Jennifer L Roach; Douglas L Crawford
Journal:  Nat Genet       Date:  2004-11-28       Impact factor: 38.330

6.  Assessment of a systematic expression profiling approach in ENU-induced mouse mutant lines.

Authors:  Matthias Seltmann; Marion Horsch; Alexei Drobyshev; Yali Chen; Martin Hrabé de Angelis; Johannes Beckers
Journal:  Mamm Genome       Date:  2005-01       Impact factor: 2.957

7.  Neutral and adaptive variation in gene expression.

Authors:  Andrew Whitehead; Douglas L Crawford
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-27       Impact factor: 11.205

8.  Identification of coexpressed gene clusters in a comparative analysis of transcriptome and proteome in mouse tissues.

Authors:  T Mijalski; A Harder; T Halder; M Kersten; M Horsch; T M Strom; H V Liebscher; F Lottspeich; M Hrabe de Angelis; J Beckers
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-06       Impact factor: 11.205

9.  Transfection of normal primary human skeletal myoblasts with p21 and p57 antisense oligonucleotides to improve their proliferation: a first step towards an alternative molecular therapy approach of Duchenne muscular dystrophy.

Authors:  Stefanie Endesfelder; Sabine Bucher; Alexander Kliche; Regina Reszka; Astrid Speer
Journal:  J Mol Med (Berl)       Date:  2003-05-06       Impact factor: 4.599

10.  A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.

Authors:  Jonathan D Wren
Journal:  Bioinformatics       Date:  2009-05-15       Impact factor: 6.937

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