Smim24-flox Mouse

Smim24, whose full name is Small Integral Membrane Protein 24, is a gene with its function yet to be fully elucidated. However, its involvement in multiple biological contexts has been noted. It may be associated with various cellular processes considering its appearance in different tissue-related transcriptomic studies [3,4].

Smim24 has been identified in multiple prognostic models. In clear-cell renal-cell carcinoma (ccRCC), it is part of a prognostic model related to activated dendritic cells, and the model can predict outcomes in advanced ccRCC patients, and is associated with tumor progression, tumor mutation burden, immune cell infiltration, and immunotherapy outcomes [1]. It is also part of a prognostic model in ccRCC related to chemokine-related genes, where high-risk group patients with higher expression of Smim24 and other genes have a poorer prognosis [2]. Additionally, in a study on clear cell renal carcinoma, Smim24 was screened to construct a risk model for predicting prognosis and drug sensitivity [7].

In a transcriptomic analysis of human α-cells, the expression of Smim24 was altered in α-pseudoislets in a time-dependent manner [3]. In a hepatocellular carcinoma cell line Li-7, Smim24 was among the genes overexpressed in cancer stem cell-like CD13+CD166-cells which maintain tumorigenicity [4]. In a study on longitudinal gene expression changes in cognitively intact older adults, Smim24 was among the genes showing differential expression in APOE4 carriers, potentially implicating disrupted immune system, protein removal, and metabolism [5]. In a case of 19p13.3 microduplication syndrome, Smim24 was within a duplicated region in a patient with nephrotic syndrome and other clinical phenotypes [6].

In conclusion, Smim24 seems to be involved in the prognosis and biological processes related to multiple diseases, especially in renal-related carcinomas. Its appearance in various prognostic models and differential expression in disease-related cell types or genetic conditions suggest its importance in understanding disease mechanisms, which may provide new insights for disease treatment and prediction [1,2,3,4,5,6,7].