Literature DB >> 16180035

Microarray methods in Drosophila neurobiology.

Christopher J Mee1.   

Abstract

In the relatively short period since their development, DNA microarrays have been used increasingly in the study of genetic and cellular processes, thereby offering a genome-wide approach to gene expression studies. With the advent of genome sequencing programs for organisms from yeast to man, the number of organisms which now have ready-made commercial arrays continues to increase. Here, the principle of DNA microarrays is introduced, with particular attention being given to the role of this technology in studies of the nervous system of the fruitfly Drosophila melanogaster. The importance of experimental design and sample preparation, in line with minimum information about microarray experiment (MIAME) compliance, is emphasised. The technical platforms available to the Drosophila neurobiologist have been illustrated and a brief number of data analysis tools that are readily available reviewed.

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Year:  2005        PMID: 16180035     DOI: 10.1007/s10158-005-0010-y

Source DB:  PubMed          Journal:  Invert Neurosci        ISSN: 1354-2516


  22 in total

1.  Quantitative transcript imaging in normal and heat-shocked Drosophila embryos by using high-density oligonucleotide arrays.

Authors:  R Leemans; B Egger; T Loop; L Kammermeier; H He; B Hartmann; U Certa; F Hirth; H Reichert
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

2.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

3.  Whole-genome analysis of dorsal-ventral patterning in the Drosophila embryo.

Authors:  Angelike Stathopoulos; Madeleine Van Drenth; Albert Erives; Michele Markstein; Michael Levine
Journal:  Cell       Date:  2002-11-27       Impact factor: 41.582

4.  The efficiency of pooling mRNA in microarray experiments.

Authors:  C M Kendziorski; Y Zhang; H Lan; A D Attie
Journal:  Biostatistics       Date:  2003-07       Impact factor: 5.899

Review 5.  Microarray platforms--comparisons and contrasts.

Authors:  Gary Hardiman
Journal:  Pharmacogenomics       Date:  2004-07       Impact factor: 2.533

Review 6.  Biochip platforms as functional genomics tools for drug discovery.

Authors:  Ivan Wick; Gary Hardiman
Journal:  Curr Opin Drug Discov Devel       Date:  2005-05

7.  Light-directed, spatially addressable parallel chemical synthesis.

Authors:  S P Fodor; J L Read; M C Pirrung; L Stryer; A T Lu; D Solas
Journal:  Science       Date:  1991-02-15       Impact factor: 47.728

8.  Genome-wide mapping with biallelic markers in Arabidopsis thaliana.

Authors:  R J Cho; M Mindrinos; D R Richards; R J Sapolsky; M Anderson; E Drenkard; J Dewdney; T L Reuber; M Stammers; N Federspiel; A Theologis; W H Yang; E Hubbell; M Au; E Y Chung; D Lashkari; B Lemieux; C Dean; R J Lipshutz; F M Ausubel; R W Davis; P J Oefner
Journal:  Nat Genet       Date:  1999-10       Impact factor: 38.330

9.  Targeted gene expression as a means of altering cell fates and generating dominant phenotypes.

Authors:  A H Brand; N Perrimon
Journal:  Development       Date:  1993-06       Impact factor: 6.868

10.  Statistical implications of pooling RNA samples for microarray experiments.

Authors:  Xuejun Peng; Constance L Wood; Eric M Blalock; Kuey Chu Chen; Philip W Landfield; Arnold J Stromberg
Journal:  BMC Bioinformatics       Date:  2003-06-24       Impact factor: 3.169

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  1 in total

1.  Transcriptional profiling of apoptosis-deficient Drosophila mutants.

Authors:  Fumiaki Obata; Katsura Tomioka; Masayuki Miura
Journal:  Genom Data       Date:  2014-08-10
  1 in total

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