mProX™ Human QRFPR Stable Cell Line

Huanzheng Li et al. "The variations in human orphan G protein-coupled receptor QRFPR affect PI3K-AKT-mTOR signaling." Journal of clinical laboratory analysis, 2021
QRFPR, a newly identified member of the G protein-coupled receptor family, serves as an orphan receptor for 26Rfa, a critical regulator of various physiological processes. To investigate its significance, whole exome sequencing was employed in patients exhibiting intellectual disability and feeding difficulties. Predictions using SIFT and PolyPhen2 were conducted for variants, and a structural model was created via I-TASSER. Cell-based assays, including shRNA experiments, intracellular Ca2+ measurements, PI3K-AKT-mTOR expression, and phosphorylation assays, revealed two QRFPR variants, p.Y68H and p.R371W, in unrelated individuals. Structural analysis indicated potential disruptions in adjacent amino acids, reducing QRFPR's binding to 26Rfa. Notably, QRFPR activation by 26Rfa led to transient intracellular Ca2+ elevation, while p.Y68H and p.R371W variants hindered Ca2+ mobilization. Additionally, QRFPR variations modulated PI3K-AKT-mTOR signaling, affecting p-mTOR levels. These findings underscore QRFPR's role in neurodevelopment, particularly through the Ca2+-dependent PI3K-AKT-mTOR pathways, offering insights into GPCR-mediated signaling and physiological implications for future research.
Huanzheng Li et al. "The variations in human orphan G protein-coupled receptor QRFPR affect PI3K-AKT-mTOR signaling." Journal of clinical laboratory analysis, 2021
Pubmed: 34018631   DOI: 10.1002/jcla.23822

Guang Xia et al. "An immune infiltration-related prognostic model of kidney renal clear cell carcinoma with two valuable markers: CAPN12 and MSC." Frontiers in oncology, 2023
Since its discovery, clear cell renal cell carcinoma (ccRCC) has been known as the most prevalent and lethal kidney malignancy. The goal of this research is to identify potential prognostic genes for ccRCC and develop efficient prognostic models to improve treatment and prognosis for patients. This study screened differentially expressed genes from tumor and control samples retrieved from The Cancer Genome Atlas (TCGA) and GTEx datasets to determine risk scores for each patient. Additionally, somatic mutation and copy number variation profiles were analyzed, and gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were conducted to investigate functional relationships. A prognostic model was created by merging risk scores with clinical variables and was validated using the 786-O cell line. Results revealed seven predictive genes for ccRCC, including PVT1, MSC, ALDH6A1, TRIB3, QRFPR, CYS1, and CAPN12. Furthermore, GSVA and GSEA identified enriched pathways linked to tumorigenesis and immune system regulation. The derived risk score corresponded with immune infiltration cells and was also associated with the mutation of several oncogenes. A prognostic model with a high accuracy rate was established using the risk score. In vitro experiments demonstrated that the inhibition of CAPN12 and MSC significantly reduced the proliferation of 786-O cells. This study provides a comprehensive prognostic model for ccRCC patients, highlighting the significance of CAPN12 and MSC as potential therapeutic targets.
Guang Xia et al. "An immune infiltration-related prognostic model of kidney renal clear cell carcinoma with two valuable markers: CAPN12 and MSC." Frontiers in oncology, 2023
Pubmed: 37025600   DOI: 10.3389/fonc.2023.1161666