New genes associated with rheumatoid arthritis identified by gene expression profiling
H. Wang
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
These two authors contributed equally to this work.Search for more papers by this authorJ. Guo
Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
These two authors contributed equally to this work.Search for more papers by this authorJ. Jiang
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
Search for more papers by this authorW. Wu
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
Search for more papers by this authorX. Chang
Department of Rheumatology and Immunology, Qianfoshan Hospital, Jinan, China
Search for more papers by this authorH. Zhou
Department of Rheumatology and Immunology, Shenzhen Second People's Hospital, Shenzhen, China
Search for more papers by this authorZ. Li
Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
Search for more papers by this authorCorresponding Author
J. Zhao
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
Correspondence
Dr. Jinyin Zhao, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Email: [email protected]
Search for more papers by this authorH. Wang
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
These two authors contributed equally to this work.Search for more papers by this authorJ. Guo
Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
These two authors contributed equally to this work.Search for more papers by this authorJ. Jiang
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
Search for more papers by this authorW. Wu
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
Search for more papers by this authorX. Chang
Department of Rheumatology and Immunology, Qianfoshan Hospital, Jinan, China
Search for more papers by this authorH. Zhou
Department of Rheumatology and Immunology, Shenzhen Second People's Hospital, Shenzhen, China
Search for more papers by this authorZ. Li
Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
Search for more papers by this authorCorresponding Author
J. Zhao
The Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
Correspondence
Dr. Jinyin Zhao, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Email: [email protected]
Search for more papers by this authorSummary
In this study, we aimed to find new genes associated with rheumatoid arthritis (RA) so that more comprehensive genes would be used for monitoring and/or diagnosing patients. Illumina digital gene expression profiling was applied in two sample types – peripheral blood mononuclear cells (PBMCs) and synovial cells to compare the gene expression pattern between 17 patients with RA and three control groups (six osteoarthritis patients, three ankylosing spondylitis patients and 17 healthy controls). Bioinformatics was performed on pathway analysis and protein–protein interaction networks. Four novel genes from PBMCs – DHRS3, TTC38, SAP30BP and LPIN2 – were found to be associated with RA and further confirmed through quantitative real-time polymerase chain reaction. Five new differentially expressed genes (EPYC, LIFR, GLDN, TADA3 and ZNRF3) found in synovial cells were not confirmed. Pathway analyses revealed 10 significantly enriched pathways, and a protein–protein interaction network analysis showed that four novel PBMC-derived genes were connected to previously reported genes by four intermediate genes. Therefore, we proposed that four newly identified PBMC-derived genes could be integrated with previously reported RA-associated genes to monitor and/or diagnose RA.
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