Anti-YWHAE (C-terminal) polyclonal antibody

Colon cancer is one of the most common malignances. In vitro and in vivo study show that retinoic acids inhibit a wide variety of cancer cells but the molecular mechanism of their anti-tumor effects are not yet fully understood. All-trans retinoic acid (ATRA), an isomer of retinoic acid, can inhibit the proliferation of HCT-15 human colon cancer cell line. A proteomic analysis was performed using HCT-15 treated with ATRA to further elucidate the retinoic acid signaling pathway and its anti-tumor effect mechanism. MTT results showed that the growth of HCT-15 cells were significantly inhibited by ATRA. The alkaline phosphatase activity assay showed that ATRA failed to induce the differentiation of HCT-15. The DNA ladder detection showed that ATRA induced apoptosis in HCT-15. Two-dimensional gel electrophoresis coupled with MALDI-TOF/TOF mass spectrometry identified 13 differentially expressed proteins in HCT-15 cells after all-trans retinoic acid treatment. Among the identified differentially expressed proteins, there were four scaffold proteins (YWHAE, SFN, YWHAB, and YWHAZ), two ubiquitin modification related proteins (ISG-15 and UBE2N), two translational initiation factors (EIF1AX and EIF3K), two cytoskeleton related proteins (EZRI and CNN3), two protein-modification related proteins (TXNDC17 and PIMT), and one enzyme related to phospholipid metabolism (PSP). Both EZRI and UBE2N were rendered to western-blot validation and the results were consistent with the two-dimension electrophoresis analysis. In this study, the differentially expressed proteins in HCT-15 treated by ATRA were identified, which will assist the further elucidation of the anti-tumor mechanism of retinoic acids.

Background: Drug resistance plays an important role in the failure of clinical therapy. This study aimed to identify the key genes related to cisplatin resistance in A549 human lung adenocarcinoma cells. Methods: The mRNA microarray dataset E-MEXP-3123 and miRNA dataset GSE43249 were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) and miRNAs (DEMs) between parental and cisplatin-resistance A549 lung cancer cells were identified. Functional enrichment analysis and pathway analysis were performed by using the DAVID database. Protein-protein interactions of DEGs, microRNAs (miRNAs) network and their potential gene targets were formed by Cytoscape. Real-time quantitative polymerase chain reaction (qRT-PCR) was used to validate the identified candidate genes in cisplatin-resistant A549 cells. Results: Firstly, a total of 499 DEGs were identified from E-MEXP-3123. In gene ontology (GO) term analysis, DEGs were significantly involved in signal transduction, oxidation-reduction process, multicellular organism development, cell adhesion and inflammatory response. Pathway analysis showed that the most significant pathways were neuroactive ligand-receptor interaction, endocytosis and hippo signaling pathway. PPI network showed that the top five hub genes were CDH1 (cadherin 1), BDKRB2 (bradykinin receptor B2), FPR2 (formyl peptide receptor 2), CCR5 (C-C chemokine receptor type 5) and YWHAE (tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein epsilon). Secondly, 12 DEMs were identified from GSE43249, and the top six DEMs were miR-194, miR-192, miR-574-3p, miR-106b, miR-146a and miR-182. In subsequent qRT-PCR experiments, low expression levels of miR-192, miR-106b, miR-182 and high expression level of miR-574-3p were confirmed in cisplatin-resistant group compared with control group. Meanwhile as predicted, the overexpression of NCALD, SPIN1 that are miR-182 potential targets and the weak expression of PSMA4 that is miR-574-3p potential target were also experimentally validated in cisplatin-resistant lung cancer cells. Conclusions: These key genes identified in our study might provide new clues for developing effective strategies against cisplatin resistance during lung adenocarcinoma treatment.