Identification of biological pathways specific to phases preceding rheumatoid arthritis development through gene expression profiling

2021 ◽  
Author(s):  
Cyril Dalmasso ◽  
Céline Derbois ◽  
Maëva Veyssiere ◽  
Robert Olaso ◽  
Céline Lamacchia ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Biological Pathways ◽  
Rheumatoid Arthritis Development

scholarly journals Peripheral blood gene expression profiling in rheumatoid arthritis

2005 ◽  
Vol 6 (5) ◽  
pp. 388-397 ◽  
Author(s):  
F M Batliwalla ◽  
E C Baechler ◽  
X Xiao ◽  
W Li ◽  
S Balasubramanian ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Gene Expression Profiling ◽  
Peripheral Blood ◽  
Expression Profiling ◽  
Blood Gene Expression ◽  
Peripheral Blood Gene Expression

scholarly journals 265. Identification of Potential Biomarker Panels Predictive of Non-Response in Rheumatoid Arthritis Patients Treated with Methotrexate: A Gene-Expression-Profiling Approach

Rheumatology ◽  
2014 ◽  
Vol 53 (suppl_1) ◽  
pp. i158-i159
Author(s):  
Samantha L. Smith ◽  
Darren Plant ◽  
James Sellu ◽  
Kimme Hyrich ◽  
Anne Barton ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Potential Biomarker

Gene Expression Profiling for Discovery of Novel Targets in Human Traumatic Brain Injury

2010 ◽  
Vol 13 (2) ◽  
pp. 140-153 ◽  
Author(s):  
Taura L. Barr ◽  
Sheila Alexander ◽  
Yvette Conley
Keyword(s):  
Gene Expression ◽  
Traumatic Brain Injury ◽  
Clinical Trials ◽  
Brain Injury ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Treatment Strategies ◽  
Biological Pathways ◽  
Human Response ◽  
Novel Targets

Several clinical trials have failed to demonstrate a significant effect on outcome following human traumatic brain injury (TBI) despite promising results obtained in preclinical animal studies. These failures may be due in part to a misinterpretation of the findings obtained in preclinical animal models of TBI, a misunderstanding of the complexity of the human response to TBI, limited knowledge about the biological pathways that interact to contribute to good and bad outcomes after brain injury, and the effects of genomic variability and environment on individual recovery. Recent publications suggest that data obtained from gene expression profiling studies of complex neurological diseases such as stroke, multiple sclerosis (MS), Alzheimer’s and Parkinson’s may contribute to a more informed understanding of what affects outcome following TBI. These data may help to bridge the gap between successful preclinical studies and negative clinical trials in humans to reveal novel targets for therapy. Gene expression profiling has the capability to identify biomarkers associated with response to TBI, elucidate complex genetic interactions that may play a role in outcome following TBI, and reveal biological pathways related to brain health. This review highlights the current state of the literature on gene expression profiling for neurological disease and discusses its ability to aid in unraveling the variable human response to TBI and the potential for it to offer treatment strategies in an area where we currently have limited therapeutic options primarily based on supportive care.

scholarly journals Gene expression profiling reveals biological pathways responsible for phenotypic heterogeneity between UK and Sri Lankan oral squamous cell carcinomas

Oral Oncology ◽  
2015 ◽  
Vol 51 (3) ◽  
pp. 237-246 ◽  
Author(s):  
Anas A. Saeed ◽  
Andrew H. Sims ◽  
Stephen S. Prime ◽  
Ian Paterson ◽  
Paul G. Murray ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Squamous Cell ◽  
Expression Profiling ◽  
Squamous Cell Carcinomas ◽  
Biological Pathways ◽  
Phenotypic Heterogeneity ◽  
Sri Lankan ◽  
Oral Squamous Cell Carcinomas

Blood cell gene expression profiling in rheumatoid arthritis

2004 ◽  
Vol 93 (2-3) ◽  
pp. 217-226 ◽  
Author(s):  
Lone Frier Bovin ◽  
Klaus Rieneck ◽  
Christopher Workman ◽  
Henrik Nielsen ◽  
Søren Freiesleben Sørensen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Blood Cell ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Cell Gene Expression ◽  
Cell Gene

Abstract 4236: Gene expression profiling of prostate tissue identifies biological pathways associated withTMPRSS2:ERGgene fusion

2017 ◽  
Author(s):  
Ericka Ebot ◽  
Masis Isikbay ◽  
Travis Gerke ◽  
Thomas U. Ahearn ◽  
Rachel S. Kelly ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Biological Pathways ◽  
Prostate Tissue

scholarly journals Prediction of Disease Severity in Patients with Early Rheumatoid Arthritis by Gene Expression Profiling

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Zheng Liu ◽  
Tuulikki Sokka ◽  
Kevin Maas ◽  
Nancy J. Olsen ◽  
Thomas M. Aune
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Gene Expression Profiling ◽  
Disease Severity ◽  
Early Rheumatoid Arthritis ◽  
Expression Profiling

Identification of pathogenic genes related to rheumatoid arthritis through integrated analysis of DNA methylation and gene expression profiling

Gene ◽  
2017 ◽  
Vol 634 ◽  
pp. 62-67 ◽  
Author(s):  
Lei Zhang ◽  
Shiyun Ma ◽  
Huailiang Wang ◽  
Hang Su ◽  
Ke Su ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Dna Methylation ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Integrated Analysis ◽  
Pathogenic Genes
Sign in / Sign up

Export Citation Format

Share Document