Literature DB >> 15458312

DNA microarrays: experimental issues, data analysis, and application to bacterial systems.

Yandi Dharmadi1, Ramon Gonzalez.   

Abstract

DNA microarrays are currently used to study the transcriptional response of many organisms to genetic and environmental perturbations. Although there is much room for improvement of this technology, its potential has been clearly demonstrated in the past 5 years. The general consensus is that the bottleneck is now located in the processing and analysis of transcriptome data and its use for purposes other than the quantification of changes in gene expression levels. In this article we discuss technological aspects of DNA microarrays, statistical and biological issues pertinent to the design of microarray experiments, and statistical tools for microarray data analysis. A review on applications of DNA microarrays in the study of bacterial systems is presented. Special attention is given to studies in the following areas: (1) bacterial response to environmental changes; (2) gene identification, genome organization, and transcriptional regulation; and (3) genetic and metabolic engineering. Soon, the use of DNA microarray technologies in conjunction with other genome/system-wide analyses (e.g., proteomics, metabolomics, fluxomics, phenomics, etc.) will provide a better assessment of genotype-phenotype relationships in bacteria, which serve as a basis for understanding similar processes in more complex organisms.

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Year:  2004        PMID: 15458312     DOI: 10.1021/bp0400240

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  13 in total

Review 1.  Comparative genomic reconstruction of transcriptional regulatory networks in bacteria.

Authors:  Dmitry A Rodionov
Journal:  Chem Rev       Date:  2007-07-18       Impact factor: 60.622

2.  Cell envelope stress response in Bacillus licheniformis: integrating comparative genomics, transcriptional profiling, and regulon mining to decipher a complex regulatory network.

Authors:  Tina Wecke; Birgit Veith; Armin Ehrenreich; Thorsten Mascher
Journal:  J Bacteriol       Date:  2006-08-25       Impact factor: 3.490

3.  Generation of an oligonucleotide array for analysis of gene expression in Chlamydomonas reinhardtii.

Authors:  Stephan Eberhard; Monica Jain; Chung Soon Im; Steve Pollock; Jeff Shrager; Yuan Lin; Andrew S Peek; Arthur R Grossman
Journal:  Curr Genet       Date:  2005-12-07       Impact factor: 3.886

4.  Global transcriptomic response of Leptospira interrogans serovar Copenhageni upon exposure to serum.

Authors:  Kanitha Patarakul; Miranda Lo; Ben Adler
Journal:  BMC Microbiol       Date:  2010-01-29       Impact factor: 3.605

5.  Metabolomic and transcriptomic analysis of the rice response to the bacterial blight pathogen Xanthomonas oryzae pv. oryzae.

Authors:  Theodore R Sana; Steve Fischer; Gert Wohlgemuth; Anjali Katrekar; Ki-Hong Jung; Pam C Ronald; Oliver Fiehn
Journal:  Metabolomics       Date:  2010-05-27       Impact factor: 4.290

6.  Phosphate-dependent behavior of the archaeon Halobacterium salinarum strain R1.

Authors:  Andy Wende; Katarina Furtwängler; Dieter Oesterhelt
Journal:  J Bacteriol       Date:  2009-04-10       Impact factor: 3.490

7.  An extended data mining method for identifying differentially expressed assay-specific signatures in functional genomic studies.

Authors:  Derrick K Rollins; Ailing Teh
Journal:  BioData Min       Date:  2010-12-17       Impact factor: 2.522

8.  Stability of double-stranded oligonucleotide DNA with a bulged loop: a microarray study.

Authors:  Christian Trapp; Marc Schenkelberger; Albrecht Ott
Journal:  BMC Biophys       Date:  2011-12-13       Impact factor: 4.778

9.  New methods to analyse microarray data that partially lack a reference signal.

Authors:  Neeltje Carpaij; Ad C Fluit; Jodi A Lindsay; Marc Jm Bonten; Rob Jl Willems
Journal:  BMC Genomics       Date:  2009-11-13       Impact factor: 3.969

10.  Data mining of plasma peptide chromatograms for biomarkers of air contaminant exposures.

Authors:  Subramanian Karthikeyan; Premkumari Kumarathasan; Renaud Vincent
Journal:  Proteome Sci       Date:  2008-01-30       Impact factor: 2.480

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