scholarly journals Quantitative gene expression profiling reveals a fetal hepatic phenotype of murine ES-derived hepatocytes.

2004 ◽  
Vol 48 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Andrea Jochheim ◽  
Tina Hillemann ◽  
Gabriela Kania ◽  
Jennifer Scharf ◽  
Masoumeh Attaran ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Quantitative Gene Expression

scholarly journals GEPIS--quantitative gene expression profiling in normal and cancer tissues

2004 ◽  
Vol 20 (15) ◽  
pp. 2390-2398 ◽  
Author(s):  
Y. Zhang ◽  
D. A. Eberhard ◽  
G. D. Frantz ◽  
P. Dowd ◽  
T. D. Wu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Quantitative Gene Expression ◽  
Cancer Tissues

scholarly journals Omics in Aid of Host-pathogen Interaction Studies: A Bacterial Perspective

2017 ◽  
Author(s):  
Ursula Fels ◽  
Kris Gevaert ◽  
Petra Van Damme
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Bacterial Pathogenesis ◽  
Infection Process ◽  
Discriminative Power ◽  
Quantitative Gene Expression ◽  
Host Pathogen Interaction ◽  
Host Pathogen ◽  
Approaches To Study

By providing useful tools to study host-pathogen interactions, next-generation omics has recently enabled the study of gene expression changes in both pathogen and infected host simultaneously. However, since great discriminative power is required to study pathogen and host simultaneously throughout the infection process, the depth of quantitative gene expression profiling has proven to be unsatisfactory when focusing on bacterial pathogens, thus preferentially requiring specific strategies or the development of novel methodologies based on complementary omics approaches. In this review, we focus on the difficulties encountered when making use of omics approaches to study bacterial pathogenesis. Besides, we review different omics strategies (i.e. transcriptomics, proteomics and secretomics) and their applications for studying interactions of pathogens with their host.

A multiplex branched DNA assay for parallel quantitative gene expression profiling

2006 ◽  
Vol 352 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Michael Flagella ◽  
Son Bui ◽  
Zhi Zheng ◽  
Cung Tuong Nguyen ◽  
Aiguo Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Quantitative Gene Expression ◽  
Dna Assay ◽  
Branched Dna

Quantitative gene expression profiling of CD45+ and CD45− skeletal muscle-derived side population cells

2011 ◽  
Vol 81A (1) ◽  
pp. 72-80 ◽  
Author(s):  
Ditte Caroline Andersen ◽  
Gitte Qvist Kristiansen ◽  
Line Jensen ◽  
Ernst-Martin Füchtbauer ◽  
Henrik Daa Schrøder ◽  
...  
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Side Population ◽  
Side Population Cells ◽  
Quantitative Gene Expression

Validation of reference gene(s) for quantitative gene expression profiling using rice moth, Corcyra cephalonica as a model

Gene Reports ◽  
2019 ◽  
Vol 14 ◽  
pp. 25-29
Author(s):  
Venkatrao Vantaku ◽  
Vinod K. Chauhan ◽  
Narender K. Dhania ◽  
Balasubramanian Senthilkumaran ◽  
Aparna Dutta-Gupta
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Reference Gene ◽  
Expression Profiling ◽  
Corcyra Cephalonica ◽  
Quantitative Gene Expression ◽  
Rice Moth

Validation of a rodent model of Barrett’s esophagus using quantitative gene expression profiling

2008 ◽  
Vol 23 (6) ◽  
pp. 1346-1352 ◽  
Author(s):  
Daniel S. Oh ◽  
Steven R. DeMeester ◽  
Christy M. Dunst ◽  
Ryutaro Mori ◽  
Bethany J. Lehman ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Barrett’S Esophagus ◽  
Expression Profiling ◽  
Barrett's Esophagus ◽  
Rodent Model ◽  
Quantitative Gene Expression
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