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Autores
Orientador(es)
Resumo(s)
We present a novel data analysis strategy which combined with subcellular fractionation and liquid chromatography-mass spectrometry (LC-MS) based proteomics provides a simple and effective workflow for global drug profiling. Five subcellular fractions were obtained by differential centrifugation followed by high resolution LC-MS and complete functional regulation analysis. The methodology combines functional regulation and enrichment analysis into a single visual summary. The workflow enables improved insight into perturbations caused by drugs. We provide a statistical argument to demonstrate that even crude subcellular fractions leads to improved functional characterization. We demonstrate this data analysis strategy on data obtained in a MS-based global drug profiling study. However, this strategy can also be performed on other types of large scale biological data.
Descrição
Palavras-chave
LC-MS Proteomics Biochemistry Cell Biology Cancer Computational biology and bioinformatics Chromatography–mass Spectrometry Genomica Funcional Genómica Funcional e Estrutural
Contexto Educativo
Citação
Sci Rep. 2016 Jan 8;6:18826. doi: 10.1038/srep18826
Editora
Nature Publishing Group
