Literature DB >> 10214349

DNA microarray technology: the anticipated impact on the study of human disease.

J Khan1, M L Bittner, Y Chen, P S Meltzer, J M Trent.   

Abstract

One can imagine that, one day, there will be a general requirement that relevant array data be deposited, at the time of publication of manuscripts in which they are described, into a single site made available for the storage and analysis of array data (modeled after the GenBank submission requirements for DNA sequence information). With this system in place, one can anticipate a time when data from thousands of gene expression experiments will be available for meta-analysis, which has the potential to balance out artifacts from many individual studies, thus leading to more robust results and subtle conclusions. This will require that data adhere to some type of uniform structure and format that would ideally be independent of the particular expression technology used to generate it. The pros and cons of various publication modalities for these large electronic data sets have been discussed elsewhere [12], but, practical difficulties aside, general depositing must occur for this technology to reach the broadest range of investigators. Finally, as mentioned at the beginning of this review, it is unfortunate that this important research tool remains largely restricted to a few laboratories that have developed expertise in this area and to a growing number of commercial interests. Ultimately the real value of microarray technology will only be realized when this approach is generally available. It is hoped that issues including platforms, instrumentation, clone availability, and patents [20] will be resolved shortly, making this technology accessible to the broadest range of scientists at the earliest possible moment.

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Year:  1999        PMID: 10214349     DOI: 10.1016/s0304-419x(99)00004-9

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  19 in total

1.  An evaluation of the performance of cDNA microarrays for detecting changes in global mRNA expression.

Authors:  H Yue; P S Eastman; B B Wang; J Minor; M H Doctolero; R L Nuttall; R Stack; J W Becker; J R Montgomery; M Vainer; R Johnston
Journal:  Nucleic Acids Res       Date:  2001-04-15       Impact factor: 16.971

2.  Quantitative quality control in microarray image processing and data acquisition.

Authors:  X Wang; S Ghosh; S W Guo
Journal:  Nucleic Acids Res       Date:  2001-08-01       Impact factor: 16.971

3.  [Array technology in skin pharmacology and allergology].

Authors:  J M Baron; H F Merk; R Heise
Journal:  Hautarzt       Date:  2003-03-11       Impact factor: 0.751

4.  DNA probes on beads arrayed in a capillary, 'Bead-array', exhibited high hybridization performance.

Authors:  Yoshinobu Kohara; Hideyuki Noda; Kazunori Okano; Hideki Kambara
Journal:  Nucleic Acids Res       Date:  2002-08-15       Impact factor: 16.971

5.  The abnormal regulation of gene expression in autistic brain tissue.

Authors:  A E Purcell; O H Jeon; J Pevsner
Journal:  J Autism Dev Disord       Date:  2001-12

Review 6.  The pathogenesis of Shigella flexneri infection: lessons from in vitro and in vivo studies.

Authors:  D J Philpott; J D Edgeworth; P J Sansonetti
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-05-29       Impact factor: 6.237

7.  Monitoring microarray-based gene expression profile changes in hepatocellular carcinoma.

Authors:  Hong-Ju Mao; Hong-Nian Li; Xiao-Mei Zhou; Jian-Long Zhao; Da-Fang Wan
Journal:  World J Gastroenterol       Date:  2005-05-14       Impact factor: 5.742

8.  A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.

Authors:  Jonathan D Wren
Journal:  Bioinformatics       Date:  2009-05-15       Impact factor: 6.937

Review 9.  Using DNA microarrays to study host-microbe interactions.

Authors:  C A Cummings; D A Relman
Journal:  Emerg Infect Dis       Date:  2000 Sep-Oct       Impact factor: 6.883

10.  Neuregulin induces the expression of transcription factors and myosin heavy chains typical of muscle spindles in cultured human muscle.

Authors:  Christian Jacobson; David Duggan; Gerald Fischbach
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-09       Impact factor: 11.205

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