Proteogenomics approaches for studying cancer biology and their potential in the identification of acute myeloid leukemia biomarkers.

Abstract:

INTRODUCTION:Mass spectrometry (MS)-based proteomics has become an indispensable tool for the characterization of the proteome and its post-translational modifications (PTM). In addition to standard protein sequence databases, proteogenomics strategies search the spectral data against the theoretical spectra obtained from customized protein sequence databases. Up to date, there are no published proteogenomics studies on acute myeloid leukemia (AML) samples. Areas covered: Proteogenomics involves the understanding of genomic and proteomic data. The intersection of both datatypes requires advanced bioinformatics skills. A standard proteogenomics workflow that could be used for the study of AML samples is described. The generation of customized protein sequence databases as well as bioinformatics tools and pipelines commonly used in proteogenomics are discussed in detail. Expert commentary: Drawing on evidence from recent cancer proteogenomics studies and taking into account the public availability of AML genomic data, the interpretation of present and future MS-based AML proteomic data using AML-specific protein sequence databases could discover new biological mechanisms and targets in AML. However, proteogenomics workflows including bioinformatics guidelines can be challenging for the wide AML research community. It is expected that further automation and simplification of the bioinformatics procedures might attract AML investigators to adopt the proteogenomics strategy.

journal_name

Expert Rev Proteomics

authors

Hernandez-Valladares M,Vaudel M,Selheim F,Berven F,Bruserud Ø

doi

10.1080/14789450.2017.1352474

subject

Has Abstract

pub_date

2017-08-01 00:00:00

pages

649-663

issue

8

eissn

1478-9450

issn

1744-8387

journal_volume

14

pub_type

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