Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P17931 (galectin-3)
 2,860 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The superinvasive phenotype exhibited by paclitaxel-selected variants of an in vitro invasive clonal population of the human cancer cell line, MDA-MB-435S were examined using DIGE (Fluorescence 2-D Difference Gel Electrophoresis) and mass spectrometry. Isolation of membrane proteins from the MDA-MB-435S-F/Taxol-10p4p and parental populations was performed by temperature-dependent phase partitioning using the detergent Triton X-114. Subsequent DIGE-generated data analysed using Decyder software showed many differentially-expressed proteins in the membrane fraction. 16 proteins showing statistically significant upregulation in the superinvasive cells were identified by MALDI-ToF. Proteins upregulated in the superinvasive population include Galectin-3, Cofilin, ATP synthase beta subunit, voltage-dependent anion channel 1, voltage dependent anion channel 2, ER-60 protein, MHC class II antigen DR52, Beta actin, TOMM40 protein, Enolase 1, Prohibitin, Guanine nucleotide-binding protein, Annexin II, Heat shock 70 kDa protein, Stomatin-like protein 2 and Chaperonin. Many of these proteins are associated with inhibition of apoptosis, the progression of cancer, tumourigenicity, metastasis, actin remodelling at the leading edge of cells, polarized cell growth, endocytosis, phagocytosis, cellular activation, cytokinesis, and pathogen intracellular motility. These results suggest a correlation between the increased abundance of these proteins with the superinvasive phenotype of the paclitaxel-selected MDA-MB-435S-F/Taxol-10p4p population.
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PMID:Proteomic analysis of isolated membrane fractions from superinvasive cancer cells. 1708 86

Background: Pancreatic adenocarcinoma (PAAD) is an aggressive and invasive tumor with poor prognosis. Identifying prognostic biomarkers of PAAD will provide crucial information for developing treatment plans. Methods: In this analysis, a gene-expression dataset, containing RNA-sequencing data recalculated into transcripts per million, was obtained from the UCSC Xena platform. Three thousand nine hundred and seventy six differentially expressed genes were obtained with analysis of variance. Using these data a co-expression network was constructed using weighted gene co-expression network analysis, from which we obtained eight modules. Results: The blue module included 497 genes and demonstrated significant negative correlation with overall survival. Furthermore, pathway analyses demonstrated the involvement of many of these genes in the tight junction pathway, which plays a critical role in PAAD. In addition, we identified six genes in common (i.e., ANXA2 [annexin A2], EPHA2 [erythropoietin-producing hepatocellular class A2], ITGB4 [integrin beta 4], KRT19 [keratin type I cytoskeletal 19], LGALS3 [galectin-3], and S100A14 [S100 calcium binding protein A14]) between the protein-protein interaction and gene co-expression networks that may have critical functions in PAAD. These hub genes were not only highly expressed at the RNA level but also exhibited high expression in the immunohistological data in the Human Protein Atlas Database. Conclusion: Thus, this research clarified the framework of co-expressed gene modules in PAAD and highlighted potential prognostic biomarkers for the clinical diagnosis of PAAD.
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PMID:Weighted Gene Co-Expression Network Analysis Reveals Six Hub Genes Involved in and Tight Junction Function in Pancreatic Adenocarcinoma and their Potential Use in Prognosis. 3182 Oct 92