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In this study, we planned to identify transcriptome expression profiles (circRNAs, lncRNAs, and mRNAs) from peripheral blood mononuclear cells (PBMCs) of 30 patients with OPLL and 30 other non-OPLL patients by high-throughput sequencing.Sequence analysis was used to predict miRNAs that might bind circRNAs and lncRNAs.Through bioinformatics analysis, competitive endogenous RNAs (cerRNAs), as well as coexpression networks among circRNAs, lncRNAs, miRNAs, and mRNAs, were constructed to provide key molecules and signaling pathways associated with OPLL.
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| Measure | Description | Time Frame |
|---|---|---|
| circRNA, lncRNA, mRNA | 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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A total of 30 peripheral blood samples were enrolled in this study, including 15 cases in the OPLL disease group and 15 cases in the non-OPLL control group.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ning Jiang, M.D | Contact | +86 15653868023 | jiangn57@mail2.sysu.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Facility | Recruiting | Zhuhai | Guangdong | China |
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