GNPS - Molecular Signatures of Preeclampsia and Gestational Diabetes Mellitus Utilizing Multi-Omics Analyses, Part 1

The application of multi-omic evaluations, multi-dimensional analysis methods, and new cheminformatics-based visualization tools to provide an in depth understanding of the molecular changes taking place in preeclampsia (PRE) and gestational diabetes mellitus (GDM) patients. Since PRE and GDM are two prevalent pregnancy complications that result in adverse health effects for both the mother and fetus during pregnancy and later in life, a better understanding of each is essential. The multi-omic evaluations performed here provide new insight into the end-stage molecular profiles of each disease, thereby supplying crucial information for earlier diagnosis and potential treatments.

For the Proteomics_PooledFractions datasets, peptide samples were pooled by condition and fractionated offline into 24 samples; each fraction was run via Q Exactive and Ion Mobility Mass Spectrometry for creation of an AMT tag database. Proteomics_Samples contains datasets from peptide samples that were run via Ion Mobility Mass Spectrometry. Lipidomics_Samples contains datasets from lipid samples that were run via LTQ Orbitrap Velos Mass Spectrometry.