Gene expression analysis in RA: towards personalized medicine
about
Use of RNA sequencing to evaluate rheumatic disease patientsPersonalized medicine in rheumatologyReview: basics of drug development in rheumatologyVariation at FCGR2A and functionally related genes is associated with the response to anti-TNF therapy in rheumatoid arthritisPredicting disease trait with genomic data: a composite kernel approach.Pre-silencing of genes involved in the electron transport chain (ETC) pathway is associated with responsiveness to abatacept in rheumatoid arthritis.Shared signatures between rheumatoid arthritis, systemic lupus erythematosus and Sjögren's syndrome uncovered through gene expression meta-analysis.Serum interferon-related microRNAs as biomarkers to predict the response to interferon therapy in chronic hepatitis C genotype 4CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case-control study.A proteomic profile of synoviocyte lesions microdissected from formalin-fixed paraffin-embedded synovial tissues of rheumatoid arthritis.Bioinformatics-Based Identification of MicroRNA-Regulated and Rheumatoid Arthritis-Associated GenesImmune cell profiling to guide therapeutic decisions in rheumatic diseasesIdentification of baseline gene expression signatures predicting therapeutic responses to three biologic agents in rheumatoid arthritis: a retrospective observational studyUnderstanding Human Autoimmunity and Autoinflammation Through Transcriptomics.Genomics, transcriptomics and proteomics to elucidate the pathogenesis of rheumatoid arthritis.Unfolded protein response gene GADD34 is overexpressed in rheumatoid arthritis and related to the presence of circulating anti-citrullinated protein antibodies.Biomarkers in rheumatoid arthritis.Right drug, right patient, right time: aspiration or future promise for biologics in rheumatoid arthritis?Principles and methods of in-silico prioritization of non-coding regulatory variants.Increased baseline RUNX2, caspase 3 and p21 gene expressions in the peripheral blood of disease-modifying anti-rheumatic drug-naïve rheumatoid arthritis patients are associated with improved clinical response to methotrexate therapy.Pharmacogenomics in rheumatoid arthritis: how close are we to the clinic?Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis
P2860
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P2860
Gene expression analysis in RA: towards personalized medicine
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
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name
Gene expression analysis in RA: towards personalized medicine
@ast
Gene expression analysis in RA: towards personalized medicine
@en
Gene expression analysis in RA: towards personalized medicine
@nl
type
label
Gene expression analysis in RA: towards personalized medicine
@ast
Gene expression analysis in RA: towards personalized medicine
@en
Gene expression analysis in RA: towards personalized medicine
@nl
prefLabel
Gene expression analysis in RA: towards personalized medicine
@ast
Gene expression analysis in RA: towards personalized medicine
@en
Gene expression analysis in RA: towards personalized medicine
@nl
P2093
P2860
P50
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P1476
Gene expression analysis in RA: towards personalized medicine
@en
P2093
C L Verweij
F van de Loo
G N Goulielmos
L D Hazelwood
L Soto Gomez
P2860
P2888
P304
P3181
P356
10.1038/TPJ.2013.48
P407
P5008
P577
2014-03-04T00:00:00Z
P5875
P6179
1011457576