Anti-SHC1 monoclonal antibody

Autophagy is the major intracellular system of degradation, and it plays an essential role in various biological events. Recent observations indicate that autophagy is modulated in response to the energy status of the mitochondrial compartment. However, the exact signaling mechanism that controls autophagy under these conditions remains unclear. In this study, we report that the activation of protein kinase C (PRKCB), a member of the classical PRKCs, negatively modulates the mitochondrial energy status and inhibits autophagy. Furthermore, cells treated with a pharmacological PRKCB inhibitor, and prkcb knockout MEFs showed an increase in autophagy both in vitro and in vivo, as well as an increased mitochondrial membrane potential ((m)), suggesting a strong involvement of mitochondrial energy in the modulation of the autophagy machinery. Finally, we show that factors that increase the (m) oppose the PRKCB-dependent inhibition of autophagy. Altogether, these data underscore the importance of PRKCB in the regulation of autophagy; moreover, the finding that a pharmacological modulation of the (m) modifies autophagy levels may be useful in fighting pathologies (including various types of cancer and neurodegenerative disorders) that are characterized by reduced levels of autophagy.

Prostate cancer (PC) depends on androgenic signaling for growth and survival. To data, the exact molecular mechanism of hormone controlling proliferation and tumorigenesis in the PC remains unclear. Therefore, in this study, we explored the differentially expressed genes (DEGs) and identified featured genes related to hormone stimulus from PC. Two sets of gene expression data, including PC and normal control sample, were downloaded from Gene Expression Omnibus (GEO) database. The t-test was used to identify DEGs between PC and controls. Gene ontology (GO) functional annotation was applied to analyze the function of DEGs and screen hormone-related DEGs. Then these hormone-related DEGs were further analyzed in constructed cancer network and Human Protein Reference Database to screen important signaling pathways they participated in. A total of 912 DEGs were obtained which included 326 up-regulated genes and 586 down-regulated genes. GO functional enrichment analysis identified 50 hormone-related DEGs associated with PC. After pathway and PPI network analysis, we found these hormone-related DEGs participated in several important signaling pathways including TGF-beta (TGFB2, TGFB3 and TGFBR2), MAPK (TGFB2, TGFB3 and TGFBR2), insulin (PIK3R3, SHC1 and EIF4EBP1), and p53 signaling pathways (CCND2 and CDKN1A). In addition, a total of five hormone-related DEGs (SHC1, CAV1, RXRA, CDKN1A and SRF) were located in the center of PPI network and 12 hormone-related DEGs formed six protein modules. These important signal pathways and hormone-related DEGs may provide potential therapeutic targets for PC.