mProX™ Human GPR148 Stable Cell Line
- Product Category:
- Membrane Protein Stable Cell Lines
- Subcategory:
To download a Certificate of Analysis, please enter a lot number in the search box below. Note: Certificate of Analysis not available for kit components.
Lot Number
Made to Order Inquiry
InquiryProduct Information
Product Properties
Protocols
Please visit our protocols page.
Customer Reviews
There are currently no Customer reviews or questions for mProX™ Human GPR148 Stable Cell Line (S01YF-1023-PY310). Click the button above to contact us or submit your feedback about this product.
Sarah (Verified Customer)
Patrick Liam (Creative Biolabs Scientific Support)
Kevin (Verified Customer)
Patrick Liam (Creative Biolabs Scientific Support)
Published Data
Fig.1 The CHO-β-arrestin system overexpressing LGR6 or GPR148 was used to assess ligand-receptor interaction (MaR1).
In the investigation, CHO-K1 cells with heightened expression of LGR6 or GPR148 were subjected to MaR1 treatment, revealing noteworthy statistical differences (*P < 0.05, ***P < 0.001) for MaR1 versus vehicle in LGR6 cells. Additionally, a comparison between LGR6 and GPR148 cells was performed. Interestingly, MaR1, administered in concentrations ranging from 10^-13 M to 10^-8 M, did not induce a substantial rise in RLU in GPR148 cells. These findings, derived from three independent experiments, are presented as mean ± SEM, with significance levels denoted as #P < 0.05 and ##P < 0.01.
Ref: Chiang, Nan, et al. "Maresin 1 activates LGR6 receptor promoting phagocyte immunoresolvent functions." The Journal of clinical investigation 129.12 (2019): 5294-5311.
Pubmed: 31657786
DOI: 10.1172/JCI129448
Research Highlights
Jyoti Rani et al. "Identification of perturbed pathways rendering susceptibility to tuberculosis in type 2 diabetes mellitus patients using BioNSi simulation of integrated networks of implicated human genes." Journal of biosciences, 2022
In patients with type 2 diabetes mellitus (T2DM), chronic hyperglycemia and inflammation contribute to an increased vulnerability to tuberculosis (TB), resulting in poor control of the disease. To investigate which pathways in T2DM patients lead to susceptibility to TB, an integrative approach was utilized. A total of 36 genes associated with type 2 diabetes-related TB (T2DMTB) were collected from literature and analyzed for differential expression in T2DM patient data (GSE26168). Notably, the gene DEFA1 showed significant differential expression at P(adj) <0.05. In addition, several other genes and microRNAs were differentially expressed at P(adj) <0.05, including TNFRSF10A, MSRA, GPR148, SLC37A3, PXK, PROK2, REV3L, PGM1, HIST3H2A, PLAC4, LETM2, EMP2, and hsa-miR-146a. These genes and microRNAs, along with 28 others from the T2DMTB set and any other differentially expressed genes at P(adj) <0.05, were analyzed in STRING, resulting in a highly connected network with a confidence score of 0.7 or higher. KEGG pathway analysis was performed, and pathways related to both diabetes and TB were retained. Simulation of the network with BioNSi using gene expression data revealed that NF-kappa B and Toll-like receptor pathways were significantly perturbed, ranking highly in multiple gene expression datasets comparing T2DM patients to healthy controls. Other pathways, including necroptosis and FoxO signaling, also showed high ranking in various gene expression datasets. The perturbation of these pathways may contribute to the susceptibility to TB in T2DM patients.
Jyoti Rani et al. "Identification of perturbed pathways rendering susceptibility to tuberculosis in type 2 diabetes mellitus patients using BioNSi simulation of integrated networks of implicated human genes." Journal of biosciences, 2022
Pubmed:
36476775
Stefania Gimelli et al. "Recurrent microdeletion 2q21.1: report on a new patient with neurological disorders." American journal of medical genetics. Part A, 2014
In this study, the genes GPR148, FAM123C (AMER3), ARHGEF4, FAM168B, and PLEKHB2 were evaluated in comparison with previously reported cases in the literature to establish a more precise genotype-phenotype correlation of 2q21.1 microdeletions. The analysis of our patient's clinical characteristics provides valuable insight for understanding the implications of these genetic deletions. This study highlights the importance of further research in this area to better understand the impact of these genetic alterations on human health.
Stefania Gimelli et al. "Recurrent microdeletion 2q21.1: report on a new patient with neurological disorders." American journal of medical genetics. Part A, 2014
Pubmed:
24591035
DOI:
10.1002/ajmg.a.36357