Vasiliki Tasiopoulou1, Dimitrios Magouliotis1, Evgeniy I Solenov2, Georgios Vavougios3, Paschalis-Adam Molyvdas1, Konstantinos I Gourgoulianis3, Chrissi Hatzoglou4, Sotirios G Zarogiannis5. 1. Department of Physiology, Faculty of Medicine, University of Thessaly, BIOPOLIS, Larissa 41500, Greece. 2. Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia; Novosibirsk State University, Novosibirsk 630090, Russia. 3. Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, Larissa 41500, Greece. 4. Department of Physiology, Faculty of Medicine, University of Thessaly, BIOPOLIS, Larissa 41500, Greece; Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, Larissa 41500, Greece. 5. Department of Physiology, Faculty of Medicine, University of Thessaly, BIOPOLIS, Larissa 41500, Greece; Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, Larissa 41500, Greece. Electronic address: szarog@med.uth.gr.
Abstract
BACKGROUND: Chloride Intracellular Channels (CLICs) are contributing to the regulation of multiple cellular functions. CLICs have been found over-expressed in several malignancies, and therefore they are currently considered as potential drug targets. The goal of our study was to assess the gene expression levels of the CLIC's 1-6 in malignant pleural mesothelioma (MPM) as compared to controls. METHODS: We used gene expression data from a publicly available microarray dataset comparing MPM versus healthy tissue in order to investigate the differential expression profile of CLIC 1-6. False discovery rates were calculated and the interactome of the significantly differentially expressed CLICs was constructed and Functional Enrichment Analysis for Gene Ontologies (FEAGO) was performed. RESULTS: In MPM, the gene expressions of CLIC3 and CLIC4 were significantly increased compared to controls (p=0.001 and p<0.001 respectively). A significant positive correlation between the gene expressions of CLIC3 and CLIC4 (p=0.0008 and Pearson's r=0.51) was found. Deming regression analysis provided an association equation between the CLIC3 and CLIC4 gene expressions: CLIC3=4.42CLIC4-10.07. CONCLUSIONS: Our results indicate that CLIC3 and CLIC4 are over-expressed in human MPM. Moreover, their expressions correlate suggesting that they either share common gene expression inducers or that their products act synergistically. FAEGO showed that CLIC interactome might contribute to TGF beta signaling and water transport.
BACKGROUND: Chloride Intracellular Channels (CLICs) are contributing to the regulation of multiple cellular functions. CLICs have been found over-expressed in several malignancies, and therefore they are currently considered as potential drug targets. The goal of our study was to assess the gene expression levels of the CLIC's 1-6 in malignant pleural mesothelioma (MPM) as compared to controls. METHODS: We used gene expression data from a publicly available microarray dataset comparing MPM versus healthy tissue in order to investigate the differential expression profile of CLIC 1-6. False discovery rates were calculated and the interactome of the significantly differentially expressed CLICs was constructed and Functional Enrichment Analysis for Gene Ontologies (FEAGO) was performed. RESULTS: In MPM, the gene expressions of CLIC3 and CLIC4 were significantly increased compared to controls (p=0.001 and p<0.001 respectively). A significant positive correlation between the gene expressions of CLIC3 and CLIC4 (p=0.0008 and Pearson's r=0.51) was found. Deming regression analysis provided an association equation between the CLIC3 and CLIC4 gene expressions: CLIC3=4.42CLIC4-10.07. CONCLUSIONS: Our results indicate that CLIC3 and CLIC4 are over-expressed in human MPM. Moreover, their expressions correlate suggesting that they either share common gene expression inducers or that their products act synergistically. FAEGO showed that CLIC interactome might contribute to TGF beta signaling and water transport.
Authors: Erasmia Rouka; Georgios D Vavougios; Evgeniy I Solenov; Konstantinos I Gourgoulianis; Chrissi Hatzoglou; Sotirios G Zarogiannis Journal: Front Physiol Date: 2017-03-21 Impact factor: 4.566
Authors: Gang Liu; Yuan Zhao; Huili Chen; Jinru Jia; Xiaomin Cheng; Fengjie Wang; Qiang Ji; Rick F Thorne; Song Chen; Xiaoying Liu Journal: J Cancer Date: 2020-04-06 Impact factor: 4.207
Authors: Brandi L Carofino; Kayla M Dinshaw; Pui Yan Ho; Christophe Cataisson; Aleksandra M Michalowski; Andrew Ryscavage; Addie Alkhas; Nathan W Wong; Vishal Koparde; Stuart H Yuspa Journal: Oncotarget Date: 2019-12-31
Authors: Laura Giusti; Federica Ciregia; Alessandra Bonotti; Ylenia Da Valle; Elena Donadio; Claudia Boldrini; Rudy Foddis; Gino Giannaccini; Maria R Mazzoni; Pier Aldo Canessa; Alfonso Cristaudo; Antonio Lucacchini Journal: EuPA Open Proteom Date: 2016-01-16