Real-time polymerase chain reaction-based exponential sample amplification for microarray gene expression profiling

2005 ◽  
Vol 337 (1) ◽  
pp. 76-83 ◽  
Author(s):  
Zsolt B. Nagy ◽  
János Z. Kelemen ◽  
Liliána Z. Fehér ◽  
Ágnes Zvara ◽  
Kata Juhász ◽  
...  
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Gene Expression Profiling ◽  
Real Time ◽  
Expression Profiling ◽  
Chain Reaction ◽  
Microarray Gene Expression ◽  
Polymerase Chain ◽  
Microarray Gene

scholarly journals Myelin-forming cell-specific cadherin-19 is a marker for minimally infiltrative glioblastoma stem-like cells

2015 ◽  
Vol 122 (1) ◽  
pp. 69-77 ◽  
Author(s):  
Michael Zorniak ◽  
Paul A. Clark ◽  
John S. Kuo
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Plasma Membrane ◽  
Glioblastoma Multiforme ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Quantitative Polymerase Chain Reaction ◽  
Normal Brain ◽  
Chain Reaction ◽  
Polymerase Chain

OBJECT Glioblastoma stem-like cells (GSCs) exhibit stem-like properties, are highly efficient at forming tumor xenografts, and are resistant to many current therapies. Current molecular identifiers of GSCs are scarce and controversial. The authors describe differential cell-surface gene expression profiling to identify GSC-specific markers. METHODS Independent human GSC lines were isolated and maintained in standard neural stem cell (NSC) media and were validated for self-renewal, multipotent differentiation, and tumor initiation properties. Candidate upregulated GSCspecific plasma membrane markers were identified through differential Affymetrix U133 Plus 2.0 Array gene expression profiling of GSCs, human NSCs (hNSCs), normal brain tissue, and primary/recurrent glioblastoma multiforme samples. Results were validated by using comparative quantitative reverse transcription polymerase chain reaction and Western blot analysis of GSCs, hNSCs, normal human astrocytes, U87 glioma cell line, and patient-matched serum-cultured glioblastoma multiforme samples. RESULTS A candidate GSC-specific signature of 19 upregulated known and novel plasma membrane–associated genes was identified. Preferential upregulation of these plasma membrane–linked genes was validated by quantitative polymerase chain reaction. Cadherin-19 (CDH19) protein expression was enhanced in minimally infiltrative GSC lines. CONCLUSIONS Gene expression profiling of GSCs has shown CDH19 to be an exciting new target for drug development and study of GBM tumorigenesis.

scholarly journals Expression of DROSHA and DICER genes in peripheral blood leukocytes in lung sarcoidosis

2018 ◽  
Vol 90 (3) ◽  
pp. 21-24
Author(s):  
I E Malysheva ◽  
O V Balan ◽  
E L Tikhonovich ◽  
T O Volkova
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Real Time ◽  
Peripheral Blood ◽  
Messenger Rna ◽  
Peripheral Blood Leukocytes ◽  
Chain Reaction ◽  
Blood Leukocytes ◽  
Healthy Donors ◽  
Polymerase Chain

Aim. To study the expression level of the genes DROSHA and DICER in peripheral blood leukocytes (PBL) of patients with sarcoidosis of the lungs Materials and methods. The study included 32 patients diagnosed with persistent lung sarcoidosis (mean age 41.56±1.27 years) and 36 healthy donors (control; mean age 42.79±1.95 years). The level of expression of messenger RNA (mRNA) of the genes DROSHA and DICER were determined in PBL of healthy donors and patients with sarcoidosis of the lung by polymerase chain reaction in real time. Results. As a result of the conducted researches it is established that the level of drosha gene expression in PBL patients with sarcoidosis of lungs is significantly reduced in comparison with the control (p

Study of Basic Concepts on the Development of Protein Microarray - Gene Expression Profiling

2016 ◽  
pp. 263-295
Author(s):  
P. Sivashanmugam ◽  
Arun C. ◽  
Selvakumar P.
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Protein Microarray ◽  
Microarray Technology ◽  
Microarray Gene Expression ◽  
High Throughput Technology ◽  
Multiple Cell ◽  
Stressed Cell ◽  
Microarray Gene

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.

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