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 ◽  
...  
2017 ◽  
Vol 25 (3) ◽  
pp. 408-413 ◽  
Author(s):  
Kristo Nuutila ◽  
Dharaniya Sakthivel ◽  
Carla Kruse ◽  
Peter Tran ◽  
Giorgio Giatsidis ◽  
...  

2012 ◽  
Vol 56 (4) ◽  
pp. 301-309 ◽  
Author(s):  
Leonie Du Puy ◽  
Abdelaziz Beqqali ◽  
Helena T.A. Van Tol ◽  
Jantine Monshouwer-Kloots ◽  
Robert Passier ◽  
...  

2004 ◽  
Vol 20 (15) ◽  
pp. 2390-2398 ◽  
Author(s):  
Y. Zhang ◽  
D. A. Eberhard ◽  
G. D. Frantz ◽  
P. Dowd ◽  
T. D. Wu ◽  
...  

2010 ◽  
Vol 42 ◽  
pp. 8
Author(s):  
Karen L. Riska ◽  
Shyam Ramakrishnan ◽  
Ling Xin ◽  
Robert D. Hyldahl ◽  
Stuart Chipkin ◽  
...  

2006 ◽  
Vol 84 (12) ◽  
pp. 3239-3250 ◽  
Author(s):  
S. A. Lehnert ◽  
K. A. Byrne ◽  
A. Reverter ◽  
G. S. Nattrass ◽  
P. L. Greenwood ◽  
...  

Author(s):  
Ursula Fels ◽  
Kris Gevaert ◽  
Petra Van Damme

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.


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