Large-scale gene expression profiling reveals major pathogenetic pathways of cartilage degeneration in osteoarthritis

2006 ◽  
Vol 54 (11) ◽  
pp. 3533-3544 ◽  
Author(s):  
Thomas Aigner ◽  
Katrin Fundel ◽  
Joachim Saas ◽  
Pia M. Gebhard ◽  
Jochen Haag ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Large Scale ◽  
Cartilage Degeneration

Gene expression profiling in human cardiovascular disease

2005 ◽  
Vol 43 (7) ◽  
Author(s):  
Marja Steenman ◽  
Guillaume Lamirault ◽  
Nolwenn Le Meur ◽  
Jean J. Léger
Keyword(s):  
Gene Expression ◽  
Cardiovascular Disease ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Large Scale ◽  
Transcriptional Analysis ◽  
Diagnosis And Prognosis ◽  
Disease Markers ◽  
Clinical Tools ◽  
Further Development

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.

scholarly journals Cellular-resolution gene expression profiling in the neonatal marmoset brain reveals dynamic species- and region-specific differences

2021 ◽  
Vol 118 (18) ◽  
pp. e2020125118
Author(s):  
Yoshiaki Kita ◽  
Hirozumi Nishibe ◽  
Yan Wang ◽  
Tsutomu Hashikawa ◽  
Satomi S. Kikuchi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Large Scale ◽  
Molecular Mechanisms ◽  
Neural Circuit ◽  
Expression Patterns ◽  
Three Dimensional ◽  
Control Of Gene Expression ◽  
Cellular Resolution

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.

scholarly journals Evaluation of RNAi and CRISPR technologies by large-scale gene expression profiling in the Connectivity Map

PLoS Biology ◽  
2017 ◽  
Vol 15 (11) ◽  
pp. e2003213 ◽  
Author(s):  
Ian Smith ◽  
Peyton G. Greenside ◽  
Ted Natoli ◽  
David L. Lahr ◽  
David Wadden ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Large Scale ◽  
Connectivity Map

scholarly journals Large-scale gene expression profiling data of bone marrow stromal cells from osteoarthritic donors

Data in Brief ◽  
2016 ◽  
Vol 8 ◽  
pp. 545-548 ◽  
Author(s):  
Maik Stiehler ◽  
Juliane Rauh ◽  
Cody Bünger ◽  
Angela Jacobi ◽  
Corina Vater ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bone Marrow ◽  
Gene Expression Profiling ◽  
Stromal Cells ◽  
Expression Profiling ◽  
Bone Marrow Stromal Cells ◽  
Large Scale ◽  
Marrow Stromal Cells
Sign in / Sign up

Export Citation Format

Share Document