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      Comparative Expression Study of the Endo–G Protein Coupled Receptor (GPCR) Repertoire in Human Glioblastoma Cancer Stem-like Cells, U87-MG Cells and Non Malignant Cells of Neural Origin Unveils New Potential Therapeutic Targets

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          Abstract

          Glioblastomas (GBMs) are highly aggressive, invasive brain tumors with bad prognosis and unmet medical need. These tumors are heterogeneous being constituted by a variety of cells in different states of differentiation. Among these, cells endowed with stem properties, tumor initiating/propagating properties and particularly resistant to chemo- and radiotherapies are designed as the real culprits for tumor maintenance and relapse after treatment. These cells, termed cancer stem-like cells, have been designed as prominent targets for new and more efficient cancer therapies. G-protein coupled receptors (GPCRs), a family of membrane receptors, play a prominent role in cell signaling, cell communication and crosstalk with the microenvironment. Their role in cancer has been highlighted but remains largely unexplored. Here, we report a descriptive study of the differential expression of the endo-GPCR repertoire in human glioblastoma cancer stem-like cells (GSCs), U-87 MG cells, human astrocytes and fetal neural stem cells (f-NSCs). The endo-GPCR transcriptome has been studied using Taqman Low Density Arrays. Of the 356 GPCRs investigated, 138 were retained for comparative studies between the different cell types. At the transcriptomic level, eight GPCRs were specifically expressed/overexpressed in GSCs. Seventeen GPCRs appeared specifically expressed in cells with stem properties (GSCs and f-NSCs). Results of GPCR expression at the protein level using mass spectrometry and proteomic analysis are also presented. The comparative GPCR expression study presented here gives clues for new pathways specifically used by GSCs and unveils novel potential therapeutic targets.

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          Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.

          Recent advances in cDNA and oligonucleotide DNA arrays have made it possible to measure the abundance of mRNA transcripts for many genes simultaneously. The analysis of such experiments is nontrivial because of large data size and many levels of variation introduced at different stages of the experiments. The analysis is further complicated by the large differences that may exist among different probes used to interrogate the same gene. However, an attractive feature of high-density oligonucleotide arrays such as those produced by photolithography and inkjet technology is the standardization of chip manufacturing and hybridization process. As a result, probe-specific biases, although significant, are highly reproducible and predictable, and their adverse effect can be reduced by proper modeling and analysis methods. Here, we propose a statistical model for the probe-level data, and develop model-based estimates for gene expression indexes. We also present model-based methods for identifying and handling cross-hybridizing probes and contaminating array regions. Applications of these results will be presented elsewhere.
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            CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005-2009.

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              G-protein-coupled receptors and cancer.

              G-protein-coupled receptors (GPCRs), the largest family of cell-surface molecules involved in signal transmission, have recently emerged as crucial players in tumour growth and metastasis. Malignant cells often hijack the normal physiological functions of GPCRs to survive, proliferate autonomously, evade the immune system, increase their blood supply, invade their surrounding tissues and disseminate to other organs. This Review will address our current understanding of the many roles of GPCRs and their signalling circuitry in tumour progression and metastasis. We will also discuss how interfering with GPCRs might provide unique opportunities for cancer prevention and treatment.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                24 March 2014
                : 9
                : 3
                : e91519
                Affiliations
                [1 ]Laboratoire d'Innovation Thérapeutique, UMR7200, Laboratoire d'Excellence Medalis, CNRS, Université de Strasbourg, Faculté de Pharmacie, Illkirch, France
                [2 ]Laboratoire de Spectrométrie de Masse BioOrganique, UMR7178, CNRS, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France
                [3 ]Neuroscience Paris Seine, UMR8246, Inserm U1130, Institut de Biologie Paris Seine, CNRS, Université Pierre et Marie Curie, Paris, France
                Medical School of Hannover, Germany
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JMS CC AVD HC SC JH MCK. Performed the experiments: MF JMS MZ SL JD. Analyzed the data: MF JMS MZ SL CC JD JH MCK. Contributed reagents/materials/analysis tools: MPJ HC. Wrote the paper: JMS SL CC SC JH MCK. Revised the paper critically: HC AVD MPJ HC.

                Article
                PONE-D-13-54333
                10.1371/journal.pone.0091519
                3963860
                24662753
                b362e1d2-eb48-4439-b451-b8bae8dac0f9
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 December 2013
                : 10 February 2014
                Page count
                Pages: 19
                Funding
                This work was supported by La Ligue contre le Cancer, La Fondation pour la Recherche Médicale, the Agence Nationale pour la Recherche (ANR), the Proteomic French Infrastructure (ANR-10-INSB-08-03), the Région Alsace, Université de Strasbourg, CNRS, the French Ministère de l'enseignement supérieur et de la recherche, the Fondation ARC (SFI20121205939, HC/MPJ) and has been preformed within the LABEX ANR-10-LABX-0034_Medalis and received a financial support from French government managed by “Agence National de la Recherche” under “Programme d'investissement d'avenir”. Marie Fève is indebted to French Ministère de l'enseignement supérieur et de la recherche for doctoral fellowship and Sarah Lennon to the Fondation ARC pour la Recherche sur le Cancer. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Proteomics
                Protein Abundance
                Spectrometric Identification of Proteins
                Cell Biology
                Signal Transduction
                Cell Signaling
                G-Protein Signaling
                Membrane Receptor Signaling
                Molecular Cell Biology
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Genetics
                Gene Expression
                Genomics
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Tumor Physiology
                Basic Cancer Research

                Uncategorized
                Uncategorized

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