mProX™ Human ADRA1A Stable Cell Line

Zhou Y, et al. "Transcriptome analysis of osteogenic differentiation of human maxillary sinus ." Heliyon, 2023.
A recent study conducted by a group of researchers aimed to investigate the molecular functions and potential candidates involved in the osteogenic differentiation of human maxillary sinus mesenchymal stem cells (hMSMSCs). Human maxillary sinus membranes were collected from three patients with jaw deformities and hMSMSCs were osteogenically induced for 0 or 21 days. The researchers utilized RNA sequencing and quantitative PCR to analyze the functional profiles of the cells. Results showed that compared to control hMSMSCs, osteogenically induced hMSMSCs exhibited an osteogenic phenotype and an accelerated ossification process, as well as upregulation of SMOC2, OMD, IGF1, JUNB, BMP5, ADRA1A, and IGF2, which are genes associated with osteogenesis. These findings suggest that increased calcification, elevated calcium signaling, and activation of specific genes may contribute to the osteogenic differentiation of hMSMSCs.
Pubmed: 37800070   DOI: 10.1016/j.heliyon.2023.e20305

Li HL, et al. "Prognostic Prediction Value and Biological Functions of Non-Apoptotic Regulatory ." Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih, 2023.
The objective of this study was to investigate the potential biological functions of non-apoptotic regulatory cell death genes (NARCDs) in lung adenocarcinoma and their ability to predict prognosis. Transcriptome data from The Cancer Genome Atlas and Gene Expression Omnibus databases were used to identify differentially expressed NARCDs between lung adenocarcinoma tissues and normal tissues, utilizing R software. A NARCDs signature was constructed using univariate Cox regression analysis and the least absolute shrinkage and selection operator Cox regression. The prognostic predictive capacity of the NARCDs signature was evaluated through Kaplan-Meier survival curve, receiver operating characteristic curve, and univariate and multivariate Cox regression analyses. Further analysis investigated the functional enrichment of the NARCDs signature, differences in tumor mutational burden, tumor microenvironment, tumor immune dysfunction and exclusion score, and chemotherapeutic drug sensitivity. Finally, a protein-protein interaction network of NARCDs and immune-related genes was constructed. Results showed that the 16 selected NARCDs (ATIC, AURKA, CA9, ITGB4, DDIT4, CDK5R1, CAV1, RRM2, GAPDH, SRXN1, NLRC4, GLS2, ADRB2, CX3CL1, GDF15, and ADRA1A) were associated with prognosis, while the NARCDs signature was found to be an independent prognostic factor. Functional analysis revealed significant differences in mismatch repair, p53 signaling pathway, and cell cycle between the high and low NARCDs score groups (P < 0.05). The low NARCDs score group had lower tumor mutational burden and higher immune score, tumor immune dysfunction and exclusion score, and lower drug sensitivity (P < 0.05). Furthermore, the protein-protein interaction network of NARCDs and immune-related genes identified 10 hub genes (CXCL5, TLR4, JUN, IL6, CCL2, CXCL2, ILA, IFNG, IL33, and GAPDH), all of which were immune-related genes. In conclusion, the NARCDs prognostic model, based on 16 genes, proved to be an independent prognostic factor and may be useful in predicting prognosis and informing clinical treatment decisions for patients with lung adenocarcinoma.
Pubmed: 37622313   DOI: 10.24920/004222