Unknown

Dataset Information

Proteome-Wide Protein Expression Profiling Across Five Pancreatic Cell Lines.


ABSTRACT:

Objectives

Mass spectrometry-based proteomics enables near-comprehensive protein expression profiling. We aimed to compare quantitatively the relative expression levels of thousands of proteins across 5 pancreatic cell lines.

Methods

Using tandem mass tags (TMT10-plex), we profiled the global proteomes of 5 cell lines in duplicate in a single multiplexed experiment. We selected cell lines commonly used in pancreatic research: CAPAN-1, HPAC, HPNE, PANC1, and PaSCs. In addition, we examined the effects of different proteases (Lys-C and Lys-C plus trypsin) on the dataset depth.

Results

We quantified over 8000 proteins across the 5 cell lines. Analysis of variance testing of cell lines within each data set resulted in over 1400 statistically significant differences in pro

SUBMITTER: Paulo JA 

PROVIDER: S-EPMC5398936 | biostudies-literature | 2017 May/Jun

REPOSITORIES: biostudies-literature