Integrated analysis of single-cell RNA-seq, bulk RNA-seq, Mendelian randomization, and eQTL reveals T cell-related nomogram model and subtype classification in rheumatoid arthritis

ObjectiveRheumatoid arthritis (RA) is a systemic disease that attacks the joints and causes a heavy economic burden on humans worldwide. T cells regulate RA progression and are considered crucial targets for therapy. Therefore, we aimed to integrate multiple datasets to explore the mechanisms of RA....

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Autors principals:	Qiang Ding, Qingyuan Xu, Yini Hong, Honghai Zhou, Xinyu He, Chicheng Niu, Zhao Tian, Hao Li, Ping Zeng, Jinfu Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2024-06-01
Col·lecció:	Frontiers in Immunology
Matèries:	rheumatoid arthritis single-cell RNA sequencing Mendelian randomization bulk RNA sequencing combined biomarkers machine learning
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1399856/full
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