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Series GSE209982 Query DataSets for GSE209982
Status Public on Sep 01, 2023
Title Osteoclast microRNA profiling to capture the erosive factor in rheumatoid arthritis
Organism Homo sapiens
Experiment type Non-coding RNA profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary Background: In rheumatoid arthritis (RA), only a subset of patients develop an irreversible bone destruction. Our aim was to develop a microRNA (miR)-based osteoclast-related signature to predict erosiveness in RA.
Results: We identified 5 miRs from PBMC-derived osteoclasts differentially expressed in RNASeq also in qPCR assessment.
Conclusion: We found 5 miRNAs differentially refulated in erosive rheumtoid arhtritis compare to no erosve patient. This study could improve the current approach to identify RA subjects at risk of erosions, by adding biomarker signatures based on the profile of miRs in the osteoclasts.
 
Overall design Blood samples were obtained from 8 patients with erosive and 8 with no erosive RA sex- and age- matched controls. Peripheral blood mononuclear cells (PBMCs) were differentiated into osteoclasts in 3-week in-vitro cultures and osteoclast samples were sent to be sequenced using multiplex sequencing on a HiSeq (Illumina) instrument (Genome Quebec).
 
Contributor(s) Nguyen HD, Lortie A, Mbous Nguimbus L, Marrugo J, Allard-Chamard H, Bouchard L, Boire G, Scott MS, Roux S
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Submission date Jul 28, 2022
Last update date Sep 01, 2023
Contact name Sophie Roux
E-mail(s) Sophie.Roux@USherbrooke.ca
Organization name Université de Sherbrooke
Department Division of Rheumatology
Street address 3001, 12th avenue N
City Sherbrooke
State/province Quebec
ZIP/Postal code J1H5N4
Country Canada
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (16)
GSM6412061 Index_5.NE-01
GSM6412062 Index_7.NE-02
GSM6412063 Index_8.NE-03
Relations
BioProject PRJNA863270

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE209982_raw_count_matrix_all_samples_arthritis.tsv.gz 515.5 Kb (ftp)(http) TSV
GSE209982_sample_sex_age.csv.gz 164 b (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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