Ontology highlight
ABSTRACT:
SUBMITTER: Dudekula K
PROVIDER: S-EPMC4915949 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature
Dudekula Khadar K Le Bihan Thierry T
Data in brief 20160604
The dataset presented in this work has been obtained using a label-free quantitative proteomic analysis of rat spleen. A robust method for extraction of proteins from rat spleen tissue and LC-MS-MS analysis was developed using a urea and SDS-based buffer. Different fractionation methods were compared. A total of 3484 different proteins were identified from the pool of all experiments run in this study (a total of 2460 proteins with at least two peptides). A total of 1822 proteins were identified ...[more]