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

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.

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Alexander Akhmedov ◽  
Keiko Yonekawa ◽  
Christophe Wyss ◽  
Roberto Corti ◽  
Nils Kucher ◽  
...  

Introduction: Monocytes and leucocytes (WBC) play a key role in acute coronary syndromes (ACS). We hypothesized that gene expression profiling of WBC from the site of coronary occlusion in direct comparison with peripheral WBC from patients with ACS might reveal genetic patterns involved in plaque rupture. Methods: Thrombi (Thr) were aspirated during primary percutaneous coronary intervention (PCI), snap-frozen, and stored at −80°C. Peripheral blood leukocytes (PBL) from the same patients were extracted and treated accordingly. Total RNA was isolated from thrombi and PBL. The quality and quantity of the isolated RNA was determined using bioanalyzer and nanodrop devices. The cDNA was prepared using a primer mix and reverse transcriptase, followed by fragmentation and biotinilation. Biotin-labeled single-stranded cDNA samples were hybridized to Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays. An Affymetrix GeneChip Scanner was used to measure the fluorescent intensity emitted by the labelled target. Results: Gene expression profiles of Thr and PBL from 4 patients during PCI were assessed by Affymetrix human genome U133 Plus 2.0 arrays (54′675 probe sets). 653 different genes were locally upregulated in Thr compared to PBL as defined by a more than 8-fold difference in expression and statistical significance (p≤0.01). Genes for proteins of inflammation, thrombosis, endothelial activation, extracellular matrix remodelling, and scavenger receptors were highly upregulated at the site of coronary occlusion (examples see table 1 ). Conclusion: The local gene expression profile in WBC from thrombi differs significantly from the pattern in PBL, reflecting the regulatory and effective role of these cells in plaque rupture and thrombosis. This study identifies the upregulation of genes encoding for a host of established and new pathways involved in inflammation, uptake of oxidized LDL, and coagulation, that might play a crucial role in ACS. Table 1


Author(s):  
P. Sivashanmugam ◽  
Arun C. ◽  
Selvakumar P.

The physical and biological activity of any organisms is mainly depended on the genetic information which stored in DNA. A process at which a gene gives rise to a phenotype is called as gene expression. Analysis of gene expression can be used to interpret the changes that occur at biological level of a stressed cell or tissue. Hybridization technology helps to study the gene expression of multiple cell at a same time. Among them microarray technology is a high- throughput technology to study the gene expression at transcription level (DNA) or translation level (Protein). Analysis the protein only can predict the accurate changes that happens in a tissue, when they are infected by a disease causing organisms. Protein microarray mainly used to identify the interactions and activities of proteins with other molecules, and to determine their function for a system at normal state and stressed state. The scope of this chapter is to outline a detail description on the fabrication, types, data analysis, and application of protein microarray technology towards gene expression profiling.


2004 ◽  
Vol 125 (5) ◽  
pp. 576-583 ◽  
Author(s):  
Andrea Pellagatti ◽  
Noor Esoof ◽  
Fiona Watkins ◽  
Cordelia F. Langford ◽  
David Vetrie ◽  
...  

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