Literature DB >> 12384606

Genomic DNA standards for gene expression profiling in Mycobacterium tuberculosis.

Adel M Talaat1, Susan T Howard, Walker Hale, Rick Lyons, Harold Garner, Stephen Albert Johnston.   

Abstract

A fundamental problem in DNA microarray analysis is the lack of a common standard to compare the expression levels of different samples. Several normalization protocols have been proposed to overcome variables inherent in this technology. As yet, there are no satisfactory methods to exchange gene expression data among different research groups or to compare gene expression values under different stimulus-response profiles. We have tested a normalization procedure based on comparing gene expression levels to the signals generated from hybridizing genomic DNA (genomic normalization). This procedure was applied to DNA microarrays of Mycobacterium tuberculosis using RNA extracted from cultures growing to the logarithmic and stationary phases. The applied normalization procedure generated reproducible measurements of expression level for 98% of the putative mycobacterial ORFs, among which 5.2% were significantly changed comparing the logarithmic to stationary growth phase. Additionally, analysis of expression levels of a subset of genes by real time PCR technology revealed an agreement in expression of 90% of the examined genes when genomic DNA normalization was applied instead of 29-68% agreement when RNA normalization was used to measure the expression levels in the same set of RNA samples. Further examination of microarray expression levels displayed clusters of genes differentially expressed between the logarithmic, early stationary and late stationary growth phases. We conclude that genomic DNA standards offer advantages over conventional RNA normalization procedures and can be adapted for the investigation of microbial genomes.

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Year:  2002        PMID: 12384606      PMCID: PMC137148          DOI: 10.1093/nar/gnf103

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  32 in total

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3.  Multivariate measurement of gene expression relationships.

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Review 4.  Applications of DNA microarrays to the transcriptional analysis of mammalian genomes.

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5.  Quantitative reverse transcription-polymerase chain reaction to study mRNA decay: comparison of endpoint and real-time methods.

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6.  Genome-directed primers for selective labeling of bacterial transcripts for DNA microarray analysis.

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7.  Exploring drug-induced alterations in gene expression in Mycobacterium tuberculosis by microarray hybridization.

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8.  High-density microarray-mediated gene expression profiling of Escherichia coli.

Authors:  Y Wei; J M Lee; C Richmond; F R Blattner; J A Rafalski; R A LaRossa
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9.  Mutants of Mycobacterium smegmatis impaired in stationary-phase survival.

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10.  Functional genomics: expression analysis of Escherichia coli growing on minimal and rich media.

Authors:  H Tao; C Bausch; C Richmond; F R Blattner; T Conway
Journal:  J Bacteriol       Date:  1999-10       Impact factor: 3.490

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  94 in total

1.  Monitoring global messenger RNA changes in externally controlled microarray experiments.

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2.  Analysis of expression profile of mammalian cell entry (mce) operons of Mycobacterium tuberculosis.

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3.  Gene expression analysis to identify molecular correlates of pre- and post-conditioning derived neuroprotection.

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Journal:  J Mol Neurosci       Date:  2012-04-01       Impact factor: 3.444

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6.  DNA and RNA references for qRT-PCR assays in exfoliated cervical cells.

Authors:  Martin Steinau; Mangalathu S Rajeevan; Elizabeth R Unger
Journal:  J Mol Diagn       Date:  2006-02       Impact factor: 5.568

7.  Mycobacterial bacilli are metabolically active during chronic tuberculosis in murine lungs: insights from genome-wide transcriptional profiling.

Authors:  Adel M Talaat; Sarah K Ward; Chia-Wei Wu; Elizabeth Rondon; Christine Tavano; John P Bannantine; Rick Lyons; Stephen A Johnston
Journal:  J Bacteriol       Date:  2007-03-23       Impact factor: 3.490

8.  Global transcriptional analysis of Methanosarcina mazei strain Gö1 under different nitrogen availabilities.

Authors:  Katharina Veit; Claudia Ehlers; Armin Ehrenreich; Kirsty Salmon; Raymond Hovey; Robert P Gunsalus; Uwe Deppenmeier; Ruth A Schmitz
Journal:  Mol Genet Genomics       Date:  2006-04-20       Impact factor: 3.291

9.  Effects of nitrogen and carbon sources on transcription of soluble methyltransferases in Methanosarcina mazei strain Go1.

Authors:  Katharina Veit; Claudia Ehlers; Ruth A Schmitz
Journal:  J Bacteriol       Date:  2005-09       Impact factor: 3.490

10.  The temporal expression profile of Mycobacterium tuberculosis infection in mice.

Authors:  Adel M Talaat; Rick Lyons; Susan T Howard; Stephen Albert Johnston
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-18       Impact factor: 11.205

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