Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:3.4.11.18 (MAP)
 7,412 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The receptor activator of nuclear factor-kappaB ligand (RANKL) plays a critical role in the differentiation and bone resorptive activity of osteoclasts. Recently, the development of anti-resorptive agents from natural substances has become a subject of interest. Therefore, we evaluated the effects of 222 natural compounds on the RANKL-induced tartrate-resistance acid phosphatase (TRAP; a marker for osteoclast differentiation) activity and multinucleated osteoclast formation in RAW264.7 murine macrophage cells. We found that saurolactam was one of the compounds inhibiting the RANKL-induced osteoclastogenesis; it significantly inhibited the RANKL-induced TRAP activity and formation of multinucleated osteoclasts without any cytotoxicity. Interestingly, saurolactam prevented RANKL-induced activation of MAP kinases and NF-kappaB, and mRNA expression of osteoclast-related genes and transcription factors (c-Fos, Fra-2, and NFATc1). We also observed the inhibitory effect of saurolactam on the differentiation of mouse bone marrow-derived macrophages into osteoclasts. Furthermore, saurolactam inhibited the bone resorptive activity of mature osteoclasts with the induction of apoptotic signaling cascade and the inhibition of survival signaling pathways such as c-Src/PI3K/Akt, Ras/ERK, and JNK/c-Jun. In conclusion, although further studies are needed to determine the precise mechanism and biological efficacy of saurolactam in osteoclast-mediated bone disorders, our results demonstrate that saurolactam potentially inhibits osteoclast differentiation by preventing the activation of MAP kinases and transcription factors that consequently affect the regulation of genes required for osteoclastogenesis, and the bone resorptive activity of mature osteoclasts by inhibiting osteoclast survival-related signaling pathways and triggering the apoptotic signaling cascade.
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PMID:Saurolactam inhibits osteoclast differentiation and stimulates apoptosis of mature osteoclasts. 1965 30

Recent data show that extracellular signals are transmitted through a network of proteins rather than hierarchical signaling pathways, suggesting that the inhibition of a single component of a canonical pathway is insufficient for the treatment of cancer. The biologic outcome of signaling through a network is inherently more robust and resistant to inhibition of a single network component. In this study, we conducted a functional chemical genetic screen to identify novel interactions between signaling inhibitors that would not be predicted on the basis of our current understanding of signaling networks. We screened over 300 drug combinations in nine melanoma cell lines and have identified pairs of compounds that show synergistic cytotoxicity. The synergistic cytotoxicities identified did not correlate with the known RAS and BRAF mutational status of the melanoma cell lines. Among the most robust results was synergy between sorafenib, a multikinase inhibitor with activity against RAF, and diclofenac, a nonsteroidal anti-inflammatory drug (NSAID). Drug substitution experiments using the NSAIDs celecoxib and ibuprofen or the MAP-ERK kinase inhibitor PD325901 and the RAF inhibitor RAF265 suggest that inhibition of COX and mitogen-activated protein kinase signaling are targets for the synergistic cytotoxicity of sorafenib and diclofenac. Cotreatment with sorafenib and diclofenac interrupts a positive feedback signaling loop involving extracellular signal-regulated kinase, cellular phospholipase A2, and COX. Genome-wide expression profiling shows synergy-specific downregulation of survival-related genes. This study has uncovered novel functional drug combinations and suggests that the underlying signaling networks that control responses to targeted agents can vary substantially, depending on unexplored components of the cell genotype.
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PMID:Synthetic lethal screening with small-molecule inhibitors provides a pathway to rational combination therapies for melanoma. 2296 24

For disseminated melanoma, new prognostic biomarkers and therapeutic targets are urgently needed. The organization of protein-protein interaction networks was assessed via the transcriptomes of four independent studies of metastatic melanoma and related to clinical outcome and MAP-kinase pathway mutations (BRAF/NRAS). We also examined patient outcome-related differences in a predicted network of microRNAs and their targets. The 32 hub genes with the most reproducible survival-related disturbances in co-expression with their protein partner genes included oncogenes and tumor suppressors, previously known correlates of prognosis, and other proteins not previously associated with melanoma outcome. Notably, this network-based gene set could classify patients according to clinical outcomes with 67-80% accuracy among cohorts. Reproducibly disturbed networks were also more likely to have a higher functional mutation burden than would be expected by chance. The disturbed regions of networks are therefore markers of clinically relevant, selectable tumor evolution in melanoma which may carry driver mutations.
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PMID:Disturbed protein-protein interaction networks in metastatic melanoma are associated with worse prognosis and increased functional mutation burden. 2373 11