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A web platform for the network analysis of high-throughput data in melanoma and its use to investigate mechanisms of resistance to anti-PD1 immunotherapy
- Source :
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864:2315-2328
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Cellular phenotypes are established and controlled by complex and precisely orchestrated molecular networks. In cancer, mutations and dysregulations of multiple molecular factors perturb the regulation of these networks and lead to malignant transformation. High-throughput technologies are a valuable source of information to establish the complex molecular relationships behind the emergence of malignancy, but full exploitation of this massive amount of data requires bioinformatics tools that rely on network-based analyses. In this report we present the Virtual Melanoma Cell, an online tool developed to facilitate the mining and interpretation of high-throughput data on melanoma by biomedical researches. The platform is based on a comprehensive, manually generated and expert-validated regulatory map composed of signaling pathways important in malignant melanoma. The Virtual Melanoma Cell is a tool designed to accept, visualize and analyze user-generated datasets. It is available at: https://www.vcells.net/melanoma . To illustrate the utilization of the web platform and the regulatory map, we have analyzed a large publicly available dataset accounting for anti-PD1 immunotherapy treatment of malignant melanoma patients.
- Subjects :
- 0301 basic medicine
Databases, Factual
Computer science
Systems biology
medicine.medical_treatment
Programmed Cell Death 1 Receptor
Throughput
Computational biology
Models, Biological
Malignant transformation
03 medical and health sciences
medicine
Humans
Gene Regulatory Networks
Anti pd1
Melanoma
Molecular Biology
Internet
Immunotherapy
medicine.disease
Neoplasm Proteins
Molecular network
ComputingMethodologies_PATTERNRECOGNITION
030104 developmental biology
Molecular Medicine
Signal Transduction
Network analysis
Subjects
Details
- ISSN :
- 09254439
- Volume :
- 1864
- Database :
- OpenAIRE
- Journal :
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
- Accession number :
- edsair.doi.dedup.....d102a8419d4f0b7c16ac408cbe462066
- Full Text :
- https://doi.org/10.1016/j.bbadis.2018.01.020