Identification of candidate genes for rituximab response in rheumatoid arthritis patients by microarray expression profiling in blood cells.
about
Gene expression analysis in RA: towards personalized medicineUse of whole-blood transcriptomic profiling to highlight several pathophysiologic pathways associated with response to rituximab in patients with rheumatoid arthritis: data from a randomized, controlled, open-label trial.A comprehensive molecular interaction map for rheumatoid arthritis.RNA-stabilized whole blood samples but not peripheral blood mononuclear cells can be stored for prolonged time periods prior to transcriptome analysis.The interferon type I signature towards prediction of non-response to rituximab in rheumatoid arthritis patientsInvestigating CD11c expression as a potential genomic biomarker of response to TNF inhibitor biologics in whole blood rheumatoid arthritis samples.Rituximab Downregulates Gene Expression Associated with Cell Proliferation, Survival, and Proteolysis in the Peripheral Blood from Rheumatoid Arthritis Patients: A Link between High Baseline Autophagy-Related ULK1 Expression and Improved Pain ControIntegrative analysis of genome-wide association studies and gene expression analysis identifies pathways associated with rheumatoid arthritis.Rheumatoid arthritis pharmacogenomics.The potential use of expression profiling: implications for predicting treatment response in rheumatoid arthritis.Developing Peripheral Blood Gene Expression-Based Diagnostic Tests for Coronary Artery Disease: a Review.Pharmacogenomics in rheumatoid arthritis: how close are we to the clinic?
P2860
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P2860
Identification of candidate genes for rituximab response in rheumatoid arthritis patients by microarray expression profiling in blood cells.
description
2009 nî lūn-bûn
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2009年の論文
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2009年学术文章
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name
Identification of candidate ge ...... sion profiling in blood cells.
@en
Identification of candidate ge ...... sion profiling in blood cells.
@nl
type
label
Identification of candidate ge ...... sion profiling in blood cells.
@en
Identification of candidate ge ...... sion profiling in blood cells.
@nl
prefLabel
Identification of candidate ge ...... sion profiling in blood cells.
@en
Identification of candidate ge ...... sion profiling in blood cells.
@nl
P2093
P2860
P356
P1433
P1476
Identification of candidate ge ...... ssion profiling in blood cells
@en
P2093
Antonio Julià
Mireia Barceló
Sara Marsal
P2860
P304
P356
10.2217/PGS.09.99
P577
2009-10-01T00:00:00Z