Data integration and exploration for the identification of molecular mechanisms in tumor-immune cells interaction
| العنوان: | Data integration and exploration for the identification of molecular mechanisms in tumor-immune cells interaction |
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| المؤلفون: | Anne Berger, Franck Pagès, Jérôme Galon, Gabriela Bindea, Bernhard Mlecnik, Fátima Sánchez-Cabo, Pornpimol Charoentong, Zlatko Trajanoski |
| المساهمون: | Australian Ministry for Science and Research, Australian Science Fund, Association pour la Recherche contre le Cancer (ARC), European Commission, Institute for Genomics and Bioinformatics, Graz University of Technology [Graz] (TU Graz), Centre de Recherche des Cordeliers (CRC (UMR_S 872)), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genomics Unit, Spanish National Centre for Cardiovascular Research, Assistance publique - Hôpitaux de Paris, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Graz University of Technology [Graz] ( TU Graz ), Centre de Recherche des Cordeliers ( CRC (UMR_S 872) ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Assistance publique - Hôpitaux de Paris (AP-HP)-Georges Pompidou European Hospital, BMC, Ed. |
| المصدر: | BMC Genomics BMC Genomics, 2010, 11 Suppl 1 (Suppl 1), pp.S7. ⟨10.1186/1471-2164-11-S1-S7⟩ BMC Genomics, BioMed Central, 2010, 11 Suppl 1 (Suppl 1), pp.S7. ⟨10.1186/1471-2164-11-S1-S7⟩ BMC Genomics, Vol 11, Iss Suppl 1, p S7 (2010) BMC Genomics, BioMed Central, 2010, 11 Suppl 1 (Suppl 1), pp.S7. 〈10.1186/1471-2164-11-S1-S7〉 Repisalud Instituto de Salud Carlos III (ISCIII) |
| بيانات النشر: | BioMed Central (BMC), 2010. |
| سنة النشر: | 2010 |
| مصطلحات موضوعية: | Databases, Factual, computer.software_genre, Proteomics, MESH : Biometry, 0302 clinical medicine, Software Design, Neoplasms, MESH: Neoplasms, MESH: Biometry, Cancer immunology, 0303 health sciences, MESH : Software Design, MESH : Survival Rate, 3. Good health, Survival Rate, [ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], 030220 oncology & carcinogenesis, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Identification (biology), Biotechnology, Data integration, MESH: Computational Biology, Biometry, lcsh:QH426-470, MESH: Survival Rate, Process (engineering), lcsh:Biotechnology, Computational biology, Biology, MESH : Databases, Factual, Data type, 03 medical and health sciences, lcsh:TP248.13-248.65, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Genetics, Humans, Cluster analysis, 030304 developmental biology, Tumor microenvironment, MESH: Humans, Research, MESH : Humans, Computational Biology, MESH : Neoplasms, MESH: Databases, Factual, lcsh:Genetics, MESH: Software Design, computer, MESH : Computational Biology |
| الوصف: | Cancer progression is a complex process involving host-tumor interactions by multiple molecular and cellular factors of the tumor microenvironment. Tumor cells that challenge immune activity may be vulnerable to immune destruction. To address this question we have directed major efforts towards data integration and developed and installed a database for cancer immunology with more than 1700 patients and associated clinical data and biomolecular data. Mining of the database revealed novel insights into the molecular mechanisms of tumor-immune cell interaction. In this paper we present the computational tools used to analyze integrated clinical and biomolecular data. Specifically, we describe a database for heterogeneous data types, the interfacing bioinformatics and statistical tools including clustering methods, survival analysis, as well as visualization methods. Additionally, we discuss generic issues relevant to the integration of clinical and biomolecular data, as well as recent developments in integrative data analyses including biomolecular network reconstruction and mathematical modeling. This work was supported by the Austrian Ministry for Science and Research, GEN-AU Project Bioinformatics Integration Network (BIN), Austrian Science Fund (SFB Project Lipotoxicity), INSERM, the National Cancer Institute (INCa), Association pour la Recherche sur le Cancer (ARC), the Cancéropole Ile de France, Ville de Paris, and by the European Commission (FP7, Geninca Consortium, grant number 202230). Sí |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1471-2164 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5dc52d8498a457dca6143678c277741Test https://hdl.handle.net/20.500.12105/8379Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....e5dc52d8498a457dca6143678c277741 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14712164 |
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