Can molecular mechanisms be revealed by large-scale gene expression profiling?

2005 ◽  
Vol 2005 (Fall) ◽  
Author(s):  
Zlatko Trajanoski ◽  
Hubert Hackl ◽  
Thomas Burkard ◽  
Frank Eisenhaber
2021 ◽  
Vol 118 (18) ◽  
pp. e2020125118
Author(s):  
Yoshiaki Kita ◽  
Hirozumi Nishibe ◽  
Yan Wang ◽  
Tsutomu Hashikawa ◽  
Satomi S. Kikuchi ◽  
...  

Precise spatiotemporal control of gene expression in the developing brain is critical for neural circuit formation, and comprehensive expression mapping in the developing primate brain is crucial to understand brain function in health and disease. Here, we developed an unbiased, automated, large-scale, cellular-resolution in situ hybridization (ISH)–based gene expression profiling system (GePS) and companion analysis to reveal gene expression patterns in the neonatal New World marmoset cortex, thalamus, and striatum that are distinct from those in mice. Gene-ontology analysis of marmoset-specific genes revealed associations with catalytic activity in the visual cortex and neuropsychiatric disorders in the thalamus. Cortically expressed genes with clear area boundaries were used in a three-dimensional cortical surface mapping algorithm to delineate higher-order cortical areas not evident in two-dimensional ISH data. GePS provides a powerful platform to elucidate the molecular mechanisms underlying primate neurobiology and developmental psychiatric and neurological disorders.


2006 ◽  
Vol 54 (11) ◽  
pp. 3533-3544 ◽  
Author(s):  
Thomas Aigner ◽  
Katrin Fundel ◽  
Joachim Saas ◽  
Pia M. Gebhard ◽  
Jochen Haag ◽  
...  

2013 ◽  
Vol 205 (2) ◽  
pp. 119-127 ◽  
Author(s):  
Jin-Lan Piao ◽  
Zheng-Guo Cui ◽  
Yukihiro Furusawa ◽  
Kanwal Ahmed ◽  
Mati Ur Rehman ◽  
...  

Author(s):  
Marja Steenman ◽  
Guillaume Lamirault ◽  
Nolwenn Le Meur ◽  
Jean J. Léger

AbstractGene expression profiling studies in human diseases have allowed better understanding of pathophysiological processes. In addition, they may lead to the development of new clinical tools to improve diagnosis and prognosis of patients. Most of these studies have been successfully performed for human cancers. Inspired by these results, researchers in the cardiovascular field have also started using large-scale transcriptional analysis to better understand and classify human cardiovascular disease. Here we provide an overview of the literature revealing new cardiac disease markers and encouraging results for further development of the expression profiling strategy for future clinical applications in cardiology.


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