mProX™ Human GPR88 Stable Cell Line
- Product Category:
- Membrane Protein Stable Cell Lines
- Subcategory:
- GPCR Cell Lines
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Published Data
Fig.1 Transient responses of GPR88-Gq16 and GPR88-Gqi5 to (1R,2R)-2-PCCA.
In a calcium mobilization experiment, mock cells and GPR88 transfected cells were stimulated with 10 M final (1R,2R)-2-PCCA 48 hours after transfection. Each bar represents the mean SD of duplicate determinations and represents representative data.
Ref: Decker, Ann M., et al. "Development and validation of a high-throughput calcium mobilization assay for the orphan receptor GPR88." Journal of biomedical science 24 (2017): 1-9.
Pubmed: 28347302
DOI: 10.1186/s12929-017-0330-3
Research Highlights
Lu Y, et al. "Molecular insights into orphan G protein-coupled receptors relevant to ." British journal of pharmacology, 2023.
This article reviews the relationship between GPR3, GPR6, GPR12, GPR52, GPR85, GPR88 and GPR139 and schizophrenia. The authors examine their expression, signalling mechanisms, and cellular function, in addition to small molecule development and structural insights. Their aim is to present a concise overview of the increasing evidence and potential development of novel schizophrenia therapeutics.
Pubmed:
37605621
DOI:
10.1111/bph.16221
Yang L, et al. "A comprehensive analysis of biomarkers associated with synovitis and chondrocyte ." Frontiers in immunology, 2023.
Osteoarthritis (OA) is a chronic disease with high morbidity and disability rates whose molecular mechanism remains unclear. In the present study, the authors sought to identify OA markers associated with synovitis and cartilage apoptosis through bioinformatics analysis. Gene-expression profiles were selected from the Gene Expression Omnibus database and combined with the GeneCards database for further analysis. The least absolute shrinkage and selection operator (LASSO) algorithm was used to identify characteristic genes and establish a predictive risk score. Additionally, the uniform manifold approximation and projection (UMAP) method, cytoHubba algorithm, and GOSemSim R package were used to identify subtypes and hub genes associated with OA. An immunological assessment was also performed using single-sample gene set enrichment analysis and CIBERSORTx. Results showed significant differences in characteristic genes and immune infiltration between subtypes, and qPCR experiments confirmed the prediction of highly expressed genes in tissues. The findings suggest potential common therapeutic targets for simultaneous remission of both phenotypes of OA.
Pubmed:
37545537
DOI:
10.3389/fimmu.2023.1149686
