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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Human Whole Blood: Psoriatic Arthritis [PsA] vs. Cutaneous Psoriasis Without Arthritis [PsC] vs. Controls

ABSTRACT: Transcriptional profiling of human whole blood comparing PsA, PsC, and unaffected controls Three condition experiment: PsA, PsC, unaffected controls. Biological replicates: 20 PsA, 20 PsC, 12 controls

ORGANISM(S): Homo sapiens

SUBMITTER: Dafna Gladman

PROVIDER: E-GEOD-61281 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression differences between psoriasis patients with and without inflammatory arthritis.

Pollock Remy A RA Abji Fatima F Liang Kun K Chandran Vinod V Pellett Fawnda J FJ Virtanen Carl C Gladman Dafna D DD

The Journal of investigative dermatology 20140922 2

PMID: 25243786

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Human Whole Blood: Psoriatic Arthritis [PsA] vs. Cutaneous Psoriasis Without Arthritis [PsC] vs. Controls

Project description:Transcriptional profiling of human whole blood comparing PsA, PsC, and unaffected controls

2014-09-24 | GSE61281 | GEO

Immunity and Defense Genes in Peripheral Blood Mononuclear Cells of Rheumatoid Arthritis patients

Project description:Large-scale gene expression profiling of peripheral blood mononuclear cells from Rheumatoid Arthritis (RA) patients could provide a molecular description that reflects the contribution of diverse cellular responses associated with this disease. The aim of our study is to identify peripheral blood gene expression profiles for RA patients, using Illumina technology, to gain insights into RA molecular mechanisms. The Illumina Human-6v2 Expression BeadChips were used for a complete genome-wide transcript profiling of peripheral blood mononuclear cells from 18 RA patients and 15 Controls. Differential analysis per gene was performed with one-way analysis of variance (ANOVA) and P values were adjusted to control the False Discovery Rate (FDR<5%). Genes differentially expressed at significant level between patients and controls were analyzed using Gene Ontology (GO) in the PANTHER database to identify biological processes. A differentially expression of 339 Reference Sequence genes (238 down-regulated and 101 up-regulated) between the two groups was observed. We identified a remarkably elevated expression of a spectrum of genes involved in Immunity and Defense in peripheral blood mononuclear cells of RA patients compared to Controls. This result is confirmed by GO analysis, suggesting that these genes could be activated systemically in RA. No significant down-regulated ontology groups were found. Microarrays data were validated by real time PCR in a set of nine genes showing a high degree of correlation. Our study highlighted several new genes that could contribute in the identification of innovative clinical biomarkers for diagnostic procedures and therapeutic intervention. Further studies on larger scale groups of patients should be performed with the same technology to replicate these results and to allow clinical stratification. 33 samples analyzed corresponding to 18 Rheumatoid Arthritis Patients and 15 Controls

2010-05-08 | E-GEOD-15573 | biostudies-arrayexpress

Whole Blood Gene Expression Profiling Predicts Therapeutic Response in Polyarticular Juvenile Idiopathic Arthritis at 4 Months

Project description:To determine whether gene expression profiles from peripheral whole blood could be used to determine therapeutic outcome in a cohort of children with newly diagnosed polyarticular JIA. 19 samples were obtained from healthy childhood controls and 93 samples from patients with juvenile idiopathic arthritis. For patient samples, they were collected prior to treatment (month 0) or 4 months after treatment.

2014-02-26 | E-GEOD-55319 | biostudies-arrayexpress

Gene expression profiling in Abatacept treated Rheumatoid Arthritis patients according to response

Project description:The objective of this study was to identify specific gene expression profiles able to predict the response of rheumatoid arthritis patients treated with methotrexate /abatacept (Aba). Thirty six RA patients were received Abatacept. The drug efficacy was evaluated with the DAS28 score after 6 months of treatment according to the EULAR response criteria. Among 36 Aba RA patients, 17 were responders and 19 were classified as no-responders. A blood sample was carried out in patients just before the first injection of treatment in PaxGene tubes. Two color experiments : patient(Cy5)/Control pool (Cy3).

2017-05-17 | E-GEOD-68215 | biostudies-arrayexpress

Transcription profiling by array of Danio rerio fast skeletal muscle from fish fed a single satiating meal

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Proteinases in psoriatic arthritis

Project description:Characterize active synovial fluid (SF) serine proteinases in psoriatic arthritis (PsA) in comparison to osteoarthritis (OA) and rheumatoid arthritis (RA)

2021-03-29 | PXD022442 | Pride

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2010-09-13 | E-GEOD-19398 | biostudies-arrayexpress

Comparing Reference-Based RNA-Seq Mapping Methods for Non-Human Primate Data

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2014-07-10 | E-GEOD-57485 | biostudies-arrayexpress

Altered modulation of WNT-Î²-catenin and PI3K/Akt pathways in IgA nephropathy

Project description:To uncover new molecular mechanisms involved in IgAN pathogenesis, we compared the genomic profiles of 12 IgAN patients with 8 healthy subjects, We included addiotional disease controls 3 FSGS(Focal Segmenal glomerulosclerosis) patients and 3 membrano proliferative glomerulonephritis type I (MPGN-I) controls in our study to evaluate if the WNT-Î²-catenin and PI3K/Akt pathways were specfic to IgAN. Gene expression profile comparison between 12IgAN patients and 8 Healthy Subjects. Gene Set Enrichment Analysis (GSEA) performed on the additional disease controls determined that the a priori defined set of genes and the pathways generated were specific to the IgAN

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Proteinase-mediated macrophage signalling in psoriatic arthritis

Project description:To identify the cell populations in synovial fluid (SF) from psoriatic arthritis (PsA) patients, single cell 3’-RNA-sequencing of cells from PsA SF samples (n=3) was performed using the 10X Genomics platform. Twelve main clusters of cells were predicted and the most abundant clusters had a predominance of monocytes/macrophages gene expression patterns.

2020-12-15 | GSE161500 | GEO

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