Project description:Health Status, Infection and Disease in California Sea Lions (Zalophus californianus) studied using a canine microarray platform and machine-learning approaches
Project description:This data is a re-analysis of samples used in a prior study (doi:10.1371/journal.pone.0123295) evaluating plasma candidate biomarkers of chronic domoic acid toxicosis (DAT) in California sea lions (Zalophus californianus). The previous study used 2D-gel electrophoresis to analyze plasma from a training (n = 32; 12 DAT and 20 non-DAT) and validation set (n = 20; 7 DAT and 13 non-DAT). Using spot intensity followed by in-gel digestion and LC-MS/MS, decreased ApoE was identified and qualified as a classifier of chronic DAT. The current analysis is from 31 of these samples (14 DAT and 17 non-DAT), since some samples were no longer available or had been through too many freeze/thaw cycles and were no longer suitable for robust analysis. This subset of 31 undepleted plasma samples was analyzed using shotgun proteomics with a tribrid mass spectrometer, and searching was performed with the recently completed California sea lion genome (https://www.ncbi.nlm.nih.gov/genome/annotation_euk/Zalophus_californianus/100/). Using MS1-based label-free methods we were able to identify candidate markers of chronic DAT, such as decreasing ApoE, ApoC-III and ApoB-100. We expect other analytical pipelines could be used to analyze this data, and we deliberately collected the MS1 and MS2 at high resolution to enable spectral library creation for approaches such as data-independent acquisition, which may be used in follow-up studies.
Project description:Transcriptional analysis of the effects of natural environmental variation across the latitudinal range of Mytilus californianus Keywords: Environmental response
