Literature DB >> 12193183

Evaluation of Affymetrix Gene Chip sensitivity in rat hippocampal tissue using SAGE analysis. Serial Analysis of Gene Expression.

Simon J Evans1, Nicole A Datson, Mohamed Kabbaj, Robert C Thompson, Erno Vreugdenhil, E Ronald De Kloet, Stanley J Watson, Huda Akil.   

Abstract

DNA microarrays are a powerful tool for monitoring thousands of transcript levels simultaneously. However, the use of DNA microarrays in studying the central nervous system faces several challenges. These include the detection of low-abundance transcripts in highly complex tissue as well as estimating relatively low-magnitude changes in transcript levels in response to experimental manipulation. Many transcripts important to brain function have low expression levels or are expressed in relatively few cells, making them difficult to detect in the complex background of brain tissue. The aim of the present study is to evaluate the sensitivity of Gene Chip detection of transcripts in brain by using results from serial analysis of gene expression (SAGE) studies. The results of this comparison indicate that Affymetrix Gene Chips, like SAGE, only reliably detect medium- to high-abundance transcripts and that detection of low-abundance transcripts, many of which have great relevance to biological function in brain, is inconsistent. Specifically, we estimate that Gene Chips reliably detect no more than 30% of the hippocampal transcriptome when using a gross hippocampal dissection as the source tissue. This report provides the first broad evaluation of Affymetrix Gene Chip sensitivity relevant to studying the brain.

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Year:  2002        PMID: 12193183     DOI: 10.1046/j.1460-9568.2002.02097.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  22 in total

1.  DNA microarray analysis of functionally discrete human brain regions reveals divergent transcriptional profiles.

Authors:  S J Evans; P V Choudary; M P Vawter; J Li; J H Meador-Woodruff; J F Lopez; S M Burke; R C Thompson; R M Myers; E G Jones; W E Bunney; S J Watson; H Akil
Journal:  Neurobiol Dis       Date:  2003-11       Impact factor: 5.996

Review 2.  Methodological considerations regarding single-cell gene expression profiling for brain injury.

Authors:  Jason E Davis; James H Eberwine; David A Hinkle; Paolo G Marciano; David F Meaney; Tracy K McIntosh
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

3.  Single molecule transcription profiling with AFM.

Authors:  Jason Reed; Bud Mishra; Bede Pittenger; Sergei Magonov; Joshua Troke; Michael A Teitell; James K Gimzewski
Journal:  Nanotechnology       Date:  2007-05-09       Impact factor: 3.874

4.  The maize root transcriptome by serial analysis of gene expression.

Authors:  V Poroyko; L G Hejlek; W G Spollen; G K Springer; H T Nguyen; R E Sharp; H J Bohnert
Journal:  Plant Physiol       Date:  2005-06-17       Impact factor: 8.340

5.  A comparative analysis of transcript abundance using SAGE and Affymetrix arrays.

Authors:  Adel F M Ibrahim; Peter E Hedley; Linda Cardle; Warren Kruger; David F Marshall; Gary J Muehlbauer; Robbie Waugh
Journal:  Funct Integr Genomics       Date:  2005-02-16       Impact factor: 3.410

6.  Expression profiling reveals novel innate and inflammatory responses in the jejunal epithelial compartment during infection with Trichinella spiralis.

Authors:  Pamela A Knight; Alan D Pemberton; Kevin A Robertson; Douglas J Roy; Steven H Wright; Hugh R P Miller
Journal:  Infect Immun       Date:  2004-10       Impact factor: 3.441

7.  SAGE analysis of transcriptome responses in Arabidopsis roots exposed to 2,4,6-trinitrotoluene.

Authors:  Drew R Ekman; W Walter Lorenz; Alan E Przybyla; N Lee Wolfe; Jeffrey F D Dean
Journal:  Plant Physiol       Date:  2003-10-09       Impact factor: 8.340

8.  A SAGE study of apolipoprotein E3/3, E3/4 and E4/4 allele-specific gene expression in hippocampus in Alzheimer disease.

Authors:  Pu-Ting Xu; Yi-Ju Li; Xue-Jun Qin; Charles Kroner; Anya Green-Odlum; Hong Xu; Tian-Yuan Wang; Donald E Schmechel; Christine M Hulette; John Ervin; Mike Hauser; Jonathan Haines; Margaret A Pericak-Vance; John R Gilbert
Journal:  Mol Cell Neurosci       Date:  2007-07-24       Impact factor: 4.314

9.  Profiling microRNA expression in Arabidopsis pollen using microRNA array and real-time PCR.

Authors:  Carrie Chambers; Bin Shuai
Journal:  BMC Plant Biol       Date:  2009-07-10       Impact factor: 4.215

10.  Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies.

Authors:  Henrik Hornshøj; Emøke Bendixen; Lene N Conley; Pernille K Andersen; Jakob Hedegaard; Frank Panitz; Christian Bendixen
Journal:  BMC Genomics       Date:  2009-01-19       Impact factor: 3.969

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