Affymetrix microarray technology: present and future applications

2002 ◽  
Vol 30 (1) ◽  
pp. A12-A12
Author(s):  
G.E. Scopes
Keyword(s):  
Microarray Technology ◽  
Affymetrix Microarray

scholarly journals Meta-Analysis Combines Affymetrix Microarray Results Across Laboratories

2005 ◽  
Vol 6 (3) ◽  
pp. 116-122 ◽  
Author(s):  
John R. Stevens ◽  
R. W. Doerge
Keyword(s):  
Meta Analysis ◽  
Gene List ◽  
Analytic Approach ◽  
Oligonucleotide Array ◽  
Microarray Technology ◽  
Affymetrix Platform ◽  
Affymetrix Microarray ◽  
Significant Interest ◽  
Affymetrix Oligonucleotide Array ◽  
Adaptive Nature

With microarray technology becoming more prevalent in recent years, it is now common for several laboratories to employ the same microarray technology to identify differentially expressed genes that are related to the same phenomenon in the same species. Although experimental specifics may be similar, each laboratory will typically produce a slightly different list of statistically significant genes, which calls into question the validity of each gene list (i.e. which list is best). A statistically-based meta-analytic approach to microarray analysis systematically combines results from the different laboratories to provide a single estimate of the degree of differential expression for each gene. This approach provides a more precise view of genes that are of significant interest, while simultaneously allowing for differences between laboratories. The widely-used Affymetrix oligonucleotide array and its software are of particular interest because the results are naturally suited to a meta-analysis. A simulation model based on the Affymetrix platform is developed to examine the adaptive nature of the meta-analytic approach and to illustrate the utility of such an approach in combining microarray results across laboratories.

Custom microarray for glycobiologists: considerations for glycosyltransferase gene expression profiling

2002 ◽  
Vol 69 ◽  
pp. 135-142 ◽  
Author(s):  
Elena M. Comelli ◽  
Margarida Amado ◽  
Steven R. Head ◽  
James C. Paulson
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Affymetrix Genechip ◽  
Microarray Technology ◽  
Gene Arrays ◽  
Glycosyltransferase Gene

The development of microarray technology offers the unprecedented possibility of studying the expression of thousands of genes in one experiment. Its exploitation in the glycobiology field will eventually allow the parallel investigation of the expression of many glycosyltransferases, which will ultimately lead to an understanding of the regulation of glycoconjugate synthesis. While numerous gene arrays are available on the market, e.g. the Affymetrix GeneChip® arrays, glycosyltransferases are not adequately represented, which makes comprehensive surveys of their gene expression difficult. This chapter describes the main issues related to the establishment of a custom glycogenes array.

Microarray Technology for the Detection of Antimicrobial Resistance Genes Present in Hospital and Community Acquired Methicillin Resistant S.aureus Strains

2017 ◽  
Vol 68 (11) ◽  
pp. 2546-2550
Author(s):  
Monica Licker ◽  
Andrei Anghel ◽  
Roxana Moldovan ◽  
Elena Hogea ◽  
Delia Muntean ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Dna Microarray ◽  
Bacterial Resistance ◽  
Meca Gene ◽  
Modern Medicine ◽  
Microarray Technology ◽  
Methicillin Resistant ◽  
Antimicrobial Sensitivity ◽  
Antimicrobial Resistance Genes ◽  
Mrsa Strains

Antimicrobial resistance (AMR) represents a real burden for the modern medicine. One of the most frecvently isolated hospital acquired (HA) pathogens wordlwide, is Methicillin resistant Staphylococcus aureus (MRSA). Recently not only HA, but also community-acquired MRSA (CA-MRSA) infections have been reported. A prospective study was performed between February 2009 and October 2010, with the aim to investigate bacterial resistance of CA-MRSA and HA-MRSA. DNA microarray technology has been used for the detection of 4 AMR genes for the studied MRSA strains. A number of 218 HA- S.aureus strains have been isolated, from which 89 (40. 82%) were MRSA. In the community, 1.553 S.aureus strains were isolated, out of which, 356 (22. 92%) were MRSA. From these, a number of 17 HA and 12 CA �MRSA strains have been analyzed by DNA microarray technology. From 100% phenotypically described HA- MRSA, we identified mecA gene in 10 strains (58. 83%). Other 6 strains (35. 29%) have been erm(A) positive and 4 (23. 53%) - tet(O) positive. 83. 33% (10 strains) from the CA strains had mecA gene, only one (8. 33%) was erm(A) positive and 4 (33. 33%) were erm(C) positive. DNA microarray is a method allowing the concomitant scan of multiple genes and can be done within a few hours. That type of rapid and reliable methods for antimicrobial sensitivity tests are important to start an appropriate therapy.

scholarly journals Prediction of biomarkers of oral squamous cell carcinoma using microarray technology

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Guang Li ◽  
Xian Li ◽  
Meng Yang ◽  
Lvzi Xu ◽  
Shixiong Deng ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Microarray Technology
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