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Single cell analysis of PVNS synovium from human

ABSTRACT: Single cell analysis of PVNS synovium from human

PROVIDER: PRJNA650138 | ENA |

REPOSITORIES: ENA

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Single cell analysis of PVNS synovium from human

Project description:Pseudotime analysis, cytotrace, velocity was used to determine the source of subpopulation. To compare the difference between PVNS and steady state synovium, we conduct collaborated analysis containing both PVNS and OA synovium. Qusage analysis reveal the difference of the subsets between them. We for the first time using single cell analysis delineating PVNS cell atlas and have deepen understanding toward PVNS Presumed function and source of certain subpopulation might be the future target that worth trying. We also locate major subpopulation that is responsible for its unremitting inflammation, angiogenesis and invasiveness.

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Single cell RNA-sequencing of the human synovium in inflammatory arthritis

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Project description:Infrapatellar fat pad (IPFP) and synovium, two joint tissues next to each other, play essential roles in regulating joint homeostasis and the progression of knee osteoarthritis (OA). However, the mechanisms regulating their function under healthy and diseased conditions are largely unknown. This study aims to analyze the cellular heterogeneity of these two tissues from normal and OA patients. Single cell and single nuclei transcriptomic profiling were performed on IPFP/synovium cells from four healthy donors and five OA patients. Subsequent bioinformatic analyses identified cell clusters, delineated differentiation routes of mesenchymal cells and macrophages, and identified novel cell-to-cell communication pathways in joint tissue.

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RNA high-throughput sequencing in synovium of human temporomandibular joint osteoarthritis.

Project description:To investigate differentially expressed lncRNAs,circRNAs,miRNAs and mRNAs in synovium of human temporomandibular joint osteoarthritis (TMJOA), we performed RNA high-throughput sequencing in synovium of human TMJOA. We then performed gene expression profiling analysis using data obtained from RNA-seq .

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