Back to Search Start Over

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

Authors :
Brigitte M. Pützer
Shailendra K. Gupta
Julio Vera
Florian S. Dreyer
Faiz M. Khan
Olaf Wolkenhauer
Martin Eberhardt
Jürgen Wittmann
Tanushree Jaitly
Lisa Walter
Martina Cantone
Hans-Martin Jäck
Lucie Heinzerling
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.

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