mProX™ Human EDNRB Stable Cell Line

Yang Q, et al. "mRNA sequencing provides new insights into the pathogenesis of Hirschsprung's ." Pediatric surgery international, 2023.
The aim of the study was to identify the main susceptibility genes linked to Hirschsprung disease using RNA sequencing and RT-qPCR on colonic tissues of EDNRB(m1yzcm) and wild mice. RNA was extracted, sequencing was performed, and the obtained data were compared to the reference genome. Gene expression analysis and validation were conducted, and enrichment analyses were performed. A total of 8354 differentially expressed genes were identified, with good correlation between transcriptome and RT-qPCR data. GO and KEGG analyses revealed 8103 terms and 320 pathways, indicating a potential connection between axon guidance and focal adhesion pathways and HSCR. These findings contribute to further research on the underlying genetic causes of Hirschsprung's disease.
Pubmed: 37676292   DOI: 10.1007/s00383-023-05544-5

Hounye AH, et al. "Evaluation of drug sensitivity, immunological characteristics, and prognosis in ." Journal of molecular medicine (Berlin, Germany), 2023.
Melanoma is a highly malignant cutaneous tumor with a high fatality rate and a grim prognosis. When utilizing models with multiple features, the utility of the model should be evaluated. Through the implementation of a machine learning algorithm, a signature associated with Endoplasmic Reticulum (ER) stress was developed using data from the TCGA and GEO databases. This ER stress-associated signature demonstrates a robust capacity for predicting the prognosis of melanoma.
Pubmed: 37653150   DOI: 10.1007/s00109-023-02365-w