Insights in to Venom and Toxin Activities and Pharmacological/Therapeutic Potential Using Gene Expression Profiling

2010 ◽  
pp. 73-81
Author(s):  
Jay W. Fox
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Therapeutic Potential

Verification of targeted gene expression profiling panel for identifying biomarker signatures for immunotherapy research.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e23208-e23208
Author(s):  
Aleksandr Pankov ◽  
Yuan-Chieh Ku ◽  
Warren Tom ◽  
Jianping Zheng ◽  
Yongming Sun ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune Response ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Therapeutic Potential ◽  
Tumor Infiltrating Lymphocytes ◽  
Diagnostic Procedures ◽  
Susceptible Population ◽  
Targeted Gene Expression ◽  
Average Gene

e23208 Background: Immunotherapy has led to an unprecedented and long-lasting response in susceptible populations. Despite the therapeutic potential of the treatment, identifying biomarkers and stratifying populations that are likely to respond has been a challenge. While gene expression profiling has previously been successfully used to stratify individuals, there exist limitations with the prevalent technologies. In particular, full transcriptome gene expression estimates use limited biological material to measure the concentrations of thousands of uninformative genes and often lacks the depth required to accurately measure expression of lowly-expressed genes. These low-expressing genes may be critical to the identification of a signature associated with susceptible population. Methods: To efficiently measure the expression of the genes potentially informative of an immunotherapy response, we developed a high-throughput targeted gene expression solution measured with our RNA Ion Oncomine™ Immune Response Research Assay panel* containing 395 genes. This panel provides information about the expression of genes involved in tumor checkpoint inhibition, as well as markers of T cell signaling pathway, interferon signaling, tumor infiltrating lymphocytes (TIL). Results: We used publicly-available TCGA data to characterize the complexities of estimating unbiased gene expression from a targeted panel and developed a solution using a new normalization procedure that allows for accurate comparisons of samples within cancer types. Furthermore, we verified that lowering the RNA input amount or changing the assay operator does not contribute to a large variation in the gene expression estimates; each only accounts for less than 10% of variance of the average gene when the assay is compared across biological samples. Conclusions: Creating a panel that achieved high reproducibility and accurate expression estimates of key immune response genes allowed us to accurately separate high and low TIL samples within squamous and adenocarcinoma samples, emphasizing the utility of the panel to biomarker immunotherapy research. *For Research Use Only. Not for use in diagnostic procedures.

Gene-expression profiling in rheumatic disease: tools and therapeutic potential

2009 ◽  
Vol 5 (5) ◽  
pp. 257-265 ◽  
Author(s):  
Jason W. Bauer ◽  
Hatice Bilgic ◽  
Emily C. Baechler
Keyword(s):  
Gene Expression ◽  
Rheumatic Disease ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Therapeutic Potential

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.

278: Gene Expression Profiling of Prostatic Epithelial Cells in Two-Dimensional Versus Three-Dimensional Cultures

2007 ◽  
Vol 177 (4S) ◽  
pp. 93-93
Author(s):  
Toshiyuki Tsunoda ◽  
Junichi Inocuchi ◽  
Darren Tyson ◽  
Seiji Naito ◽  
David K. Ornstein
Keyword(s):  
Gene Expression ◽  
Epithelial Cells ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Three Dimensional ◽  
Two Dimensional

748: Gene Expression Profiling of Renal Medullary Carcinoma

2004 ◽  
Vol 171 (4S) ◽  
pp. 198-199 ◽  
Author(s):  
Ximing J. Yang ◽  
Jun Sugimura ◽  
Maria S. Tretiakova ◽  
Bin T. Teh
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Medullary Carcinoma ◽  
Renal Medullary Carcinoma
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