Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P41181 (collecting duct)
 5,183 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Gene transcription is highly regulated to ensure that specific genes are expressed at the appropriate times, places and levels in response to various genetic and environmental stimuli. Activation of some genes occurs by relief of basal repression controls, whereas termination of active transcription can involve feedback inhibition. We describe our characterization of aldosterone-triggered de-repression of the epithelial Na(+) channel-alpha subunit (ENaCalpha) gene in renal collecting duct cells in a process that involves a novel nuclear repressor complex, consisting of a histone H3 K79 methyltransferase and the putative transcription factor AF9, that regulates targeted histone H3 K79 methylation at the ENaCalpha promoter. As an example of feedback inhibition, we describe our work characterizing how the end product, nitric oxide, feedback inhibits inducible nitric oxide synthase (iNOS) gene transcription by S-nitrosylating its transactivator poly(ADP-ribose) polymerase (PARP-1) and, thereby, decreasing its ability to act at the iNOS promoter.
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PMID:New mechanisms for transcriptional repression of ENaC And iNOS. 1852 88

Background: Cancer stem cells (CSCs) are biologically characterized by self-renewal, multi-directional differentiation and infinite proliferation, inducing anti-tumor drug resistance and metastasis. In the present study, we attempted to depict the baseline landscape of CSC-mediated biological properties, knowing that it is vital for tumor evolution, anti-tumor drug selection and drug resistance against fatal malignancy. Methods: We performed single-cell RNA sequencing (scRNA-seq) analysis in 15208 cells from a pair of primary and metastatic sites of collecting duct renal cell carcinoma (CDRCC). Cell subpopulations were identified and characterized by t-SNE, RNA velocity, monocle and other computational methods. Statistical analysis of all single-cell sequencing data was performed in R and Python. Results: A CSC population of 1068 cells was identified and characterized, showing excellent differentiation and self-renewal properties. These CSCs positioned as a center of the differentiation process and transformed into CDRCC primary and metastatic cells in spatial and temporal order, and played a pivotal role in promoting the bone destruction process with a positive feedback loop in the bone metastasis microenvironment. In addition, CSC-specific marker genes BIRC5, PTTG1, CENPF and CDKN3 were observed to be correlated with poor prognosis of CDRCC. Finally, we pinpointed that PARP, PIGF, HDAC2, and FGFR inhibitors for effectively targeting CSCs may be the potential therapeutic strategies for CDRCC. Conclusion: The results of the present study may shed new light on the identification of CSCs, and help further understand the mechanism underlying drug resistance, differentiation and metastasis in human CDRCC.
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PMID:Identification of a novel cancer stem cell subpopulation that promotes progression of human fatal renal cell carcinoma by single-cell RNA-seq analysis. 3316 21