Literature DB >> 19467334

Gene expression profiling in the rhesus macaque: methodology, annotation and data interpretation.

Nigel C Noriega1, Steven G Kohama, Henryk F Urbanski.   

Abstract

Gene microarray analyses represent potentially effective means for high-throughput gene expression profiling in non-human primates. In the companion article, we emphasize effective experimental design based on the in vivo physiology of the rhesus macaque, whereas this article emphasizes considerations for gene annotation and data interpretation using gene microarray platforms from Affymetrix. Initial annotation of the rhesus genome array was based on Affymetrix human GeneChips. However, annotation revisions improve the precision with which rhesus transcripts are identified. Annotation of the rhesus GeneChip is under continuous revision with large percentages of probesets under multiple annotation systems having undergone multiple reassignments between March 2007 and November 2008. It is also important to consider that quantitation and comparison of gene expression levels across multiple chips requires appropriate normalization. External corroboration of microarray results using PCR-based methodology also requires validation of appropriate internal reference genes for normalization of expression values. Many tools are now freely available to aid investigators with microarray normalization and selection of internal reference genes to be used for independent corroboration of microarray results.

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Year:  2009        PMID: 19467334      PMCID: PMC2739830          DOI: 10.1016/j.ymeth.2009.05.008

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  65 in total

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5.  Twenty-four-hour rhythmic gene expression in the rhesus macaque adrenal gland.

Authors:  Dario R Lemos; Jodi L Downs; Henryk F Urbanski
Journal:  Mol Endocrinol       Date:  2006-01-26

6.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

7.  Direct comparison of GAPDH, beta-actin, cyclophilin, and 28S rRNA as internal standards for quantifying RNA levels under hypoxia.

Authors:  H Zhong; J W Simons
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8.  Distribution of NMDA and AMPA receptors in the cerebellar cortex of rhesus macaques.

Authors:  V T Garyfallou; S G Kohama; H F Urbanski
Journal:  Brain Res       Date:  1996-04-15       Impact factor: 3.252

9.  Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data.

Authors:  Carl R Pelz; Molly Kulesz-Martin; Grover Bagby; Rosalie C Sears
Journal:  BMC Bioinformatics       Date:  2008-12-04       Impact factor: 3.169

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  7 in total

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Review 2.  Analysis of microarray data from the macaque corpus luteum; the search for common themes in primate luteal regression.

Authors:  C V Bishop; R L Bogan; J D Hennebold; R L Stouffer
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3.  Effects of steroid ablation and progestin replacement on the transcriptome of the primate corpus luteum during simulated early pregnancy.

Authors:  C V Bishop; R A Aazzerah; L M Quennoz; J D Hennebold; R L Stouffer
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4.  Microarray analysis of relative gene expression stability for selection of internal reference genes in the rhesus macaque brain.

Authors:  Nigel C Noriega; Steven G Kohama; Henryk F Urbanski
Journal:  BMC Mol Biol       Date:  2010-06-21       Impact factor: 2.946

5.  Gene expression profiling in the rhesus macaque: experimental design considerations.

Authors:  Henryk F Urbanski; Nigel C Noriega; Dario R Lemos; Steven G Kohama
Journal:  Methods       Date:  2009-05-23       Impact factor: 3.608

6.  Characterization of single-nucleotide variation in Indian-origin rhesus macaques (Macaca mulatta).

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Journal:  BMC Genomics       Date:  2011-06-13       Impact factor: 3.969

7.  Selection of appropriate reference genes for RT-qPCR analysis in a streptozotocin-induced Alzheimer's disease model of cynomolgus monkeys (Macaca fascicularis).

Authors:  Sang-Je Park; Young-Hyun Kim; Youngjeon Lee; Kyoung-Min Kim; Heui-Soo Kim; Sang-Rae Lee; Sun-Uk Kim; Sang-Hyun Kim; Ji-Su Kim; Kang-Jin Jeong; Kyoung-Min Lee; Jae-Won Huh; Kyu-Tae Chang
Journal:  PLoS One       Date:  2013-02-14       Impact factor: 3.240

  7 in total

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