Abstract:
:The cancer tissue proteome has enormous potential as a source of novel predictive biomarkers in oncology. Progress in the development of mass spectrometry (MS)-based tissue proteomics now presents an opportunity to exploit this by applying the strategies of comprehensive molecular profiling and big-data analytics that are refined in other fields of 'omics research. ProCan (ProCan is a registered trademark) is a program aiming to generate high-quality tissue proteomic data across a broad spectrum of cancer types. It is based on data-independent acquisition-MS proteomic analysis of annotated tissue samples sourced through collaboration with expert clinical and cancer research groups. The practical requirements of a high-throughput translational research program have shaped the approach that ProCan is taking to address challenges in study design, sample preparation, raw data acquisition, and data analysis. The ultimate goal is to establish a large proteomics knowledge-base that, in combination with other cancer 'omics data, will accelerate cancer research.
journal_name
Proteomicsjournal_title
Proteomicsauthors
Tully B,Balleine RL,Hains PG,Zhong Q,Reddel RR,Robinson PJdoi
10.1002/pmic.201900109subject
Has Abstractpub_date
2019-11-01 00:00:00pages
e1900109issue
21-22eissn
1615-9853issn
1615-9861journal_volume
19pub_type
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