mProX™ Human GPR146 Stable Cell Line

Isabell Kaczmarek et al. "Identifying G protein-coupled receptors involved in adipose tissue function using the innovative RNA-seq database FATTLAS." iScience, 20 Oct. 2023
The effect of G protein-coupled receptors (GPCRs) on adipose tissue (AT) and adipocytes has been extensively studied. However, the specific repertoire, regulation and function of GPCRs in conditions such as obesity, remains unclear. To address this gap, a new interactive public database called FATTLAS has been established for improved access and analysis of RNA-seq data from mouse and human AT. Through the extraction and analysis of GPCRome from non-obese and obese individuals, highly expressed and differentially regulated GPCRs were identified. Four GPCRs (GPR146, MRGPRF, FZD5, PTGER2) were found to be involved in adipogenesis and were further studied in a (pre)adipocyte cell model. Of these, MRGPRF was essential for adipocyte viability and regulating cAMP levels, while GPR146 was seen to modulate adipocyte lipolysis through constitutive activation of Gi proteins. By utilizing FATTLAS, this study has identified and described four previously unrecognized GPCRs associated with AT function and adipogenesis.
Isabell Kaczmarek et al. "Identifying G protein-coupled receptors involved in adipose tissue function using the innovative RNA-seq database FATTLAS." iScience, 20 Oct. 2023
Pubmed: 37766984   DOI: 10.1016/j.isci.2023.107841

Juliette A de Klerk et al. "Altered blood gene expression in the obesity-related type 2 diabetes cluster may be causally involved in lipid metabolism: a Mendelian randomisation study." Diabetologia, 2023
The aim of this study was to identify differentially expressed lncRNAs and mRNAs in whole blood samples from individuals with type 2 diabetes who were categorized into five distinct clusters: severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD), mild diabetes (MD), and mild diabetes with high HDL-cholesterol (MDH). This research aimed to enhance the understanding of the molecular mechanisms underlying these five different clusters of type 2 diabetes. Through the use of RNA sequencing, differentially expressed genes were identified in each cluster, and further validation was performed through the Innovative Medicines Initiative DIabetes REsearCh on patient straTification (IMI DIRECT) study. Additionally, to examine the potential causal effects of these genes on various diabetes-related traits, a two-sample Mendelian randomisation analysis was conducted using publicly available genome-wide association study (GWAS) data. The MOD cluster showed 11 differentially expressed lncRNAs and 175 mRNAs, while the SIDD and MDH clusters displayed upregulated lncRNA AL354696.2 and downregulated GPR15 mRNA, respectively. Correlations were observed among the differentially expressed genes in the MOD cluster. Through validation in the IMI DIRECT study, six lncRNAs and 120 mRNAs were found to be differentially expressed. Furthermore, the Mendelian randomisation analysis revealed 52 mRNAs with a potential causal effect on various anthropometric and lipid metabolism traits, including GPR146, which showed a causal effect on HDL-cholesterol levels without evidence of reverse causality. These findings highlight the role of lncRNAs and mRNAs in individuals with type 2 diabetes, particularly in the MOD cluster, and their potential impact on different diabetes-relevant traits.
Juliette A de Klerk et al. "Altered blood gene expression in the obesity-related type 2 diabetes cluster may be causally involved in lipid metabolism: a Mendelian randomisation study." Diabetologia, 2023
Pubmed: 36826505   DOI: 10.1007/s00125-023-05886-8