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PXD010400

PXD010400 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleScreening protein predictive of response to tumor necrosis factor-α inhibitors treatment in rheumatoid arthritis by using iTRAQ technique and investigating its mechanism through signal pathway Screening protein predictive of response to tumor necrosis factor-α inhibitors treatment in rheumatoid arthritis by using iTRAQ technique and investigating its mechanism through signal pathway
DescriptionRheumatoid arthritis (RA) is a chronic and disabling disease. TNF-α inhibitors have demonstrated an outstanding performance in relieving joint inflammation and retarding bone erosion involved in RA. However, there is still about one-thirds of RA patients had a poor response to TNF α inhibitors. Currently the personalized biological treatment is the research hotspot. Recent studies focuses on exploring biomarkers predictive of drug response. The research methods such as genomics, transcriptomics, proteomics, metabolomics and immunocytology, have been applied, but they are not successfully integrated. The related studies in China are still at an initial stage, which necessitates an in-depth study in this area. Our preliminary study showed that TNF-α-308 gene polymorphisms existed in Chinese RA patients and PI3K/Akt signal pathway was ativated in proliferated synovial fibroblasts stimulated by TNF-α. Therefore, for the first attempt in China, we intend to screen for differential proteins by using iTRAQ technique in RA patients receiving anti-TNF-α therapy, and then verify the predictive effects of selected differential proteins from the upstream gene polymorphism to the downstream protein expression. We will also investigate the mechanisms of differential proteins involved in TNF-α related signal pathway by using in vitro gene transfer, siRNA interference, and RA animal models. Through our study we hope to discover a prediction protein with a domestic genetic background and finally establish a prediction system with Chinese characteristics.
HostingRepositoryPRIDE
AnnounceDate2022-02-15
AnnouncementXMLSubmission_2022-02-15_06:49:23.666.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJian Chen
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-07-12 04:16:27ID requested
12022-02-15 06:49:24announced
Publication List
Chen J, Li S, Ge Y, Kang J, Liao JF, Du JF, Tian J, Xie X, Li F, iTRAQ and PRM-Based Proteomic Analysis Provides New Insights into Mechanisms of Response to Triple Therapy in Patients with Rheumatoid Arthritis. J Inflamm Res, 14():6993-7006(2021) [pubmed]
Keyword List
curator keyword: Biological, Biomedical
submitter keyword: rheumatoid arthritis
tumor necrosis factor α inhibitor
predictive of response
iTRAQ
signal pathway
Contact List
Fen Li
contact affiliationDepartment of Rheumatology and immunology, Second Xiangya Hospital of South Central University, No.139 Ren Min Department of Rheumatology and immunology, Second Xiangya Hospital of South Central University, No.139 Ren Min Middle Road, Chang Sha,China41001111111rtment of Rheumatology and immunology, Second Xiangya Hospital of South Central University, No.139 Ren Min Mid6969Chang Sha,China410011d, Chang Sha,China410011
contact emaillifen0731@csu.edu.cn
lab head
Jian Chen
contact affiliationDepartment of Rheumatology and immunology
contact emailj.chen@csu.edu.cn
dataset submitter
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Dataset FTP location
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