Peptidomics is defined as the systematic, comprehensive, qualitative and quantitative multiplex analysis of endogenous peptides in a biological sample at a defined time point and location. Peptidomics complements proteomics and bridges the gap between proteomics and metabolomics.


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PXBioVisioN has developed a Peptidomics platform to display and interpret peptide patterns in complex body fluids and tissues of various origins. Peptide profiles are systematically and comprehensively measured, compared and interpreted in an appropriate biological context to elucidate knowledge about the biological processes. When applied to relevant disease models, Peptidomics-Technologies have the potential to uncover previously unrecognized factors that may contribute to the pathophysiology.
Peptidomic Technologies
PXBioVisioN combines state-of-the-art liquid chromatographic separation and mass spectrometry (LC-MS) to separate and profile peptides in biological samples with a high accuracy within the molecular mass range between 950 and 15,000 Da. The LC-MS data are converted into reliable profiling data by proprietary software tools. The integrated Peptidomics data analysis platform Spectromania supports full-resolution visualization of large data sets and full integration of all experimental and process data. The process is supported by rigorous QC/QA measures and is auditable.
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Peptidomics Process
Samples are separated by means of RP-HPLC (reversed phase high pressure liquid chromatography,
A) and peptides eluting from the HPLC column are collected into 96 fractions. Each fraction is subjected to MALDI-TOF-MS (matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, B) and the mass spectra of all 96 fractions are combined, resulting in an in silico two-dimensional display of peptide masses, where the x-axis displays the mass-to-charge ratio, the y-axis is determined by the retention time on the RP-HPLC or the fraction number and signal intensity is depicted by color saturation (C). The Spectromania software allow for the processing and analysis of vast amounts of mass spectra and adjacent metadata. Mass spectra of individual samples can be superimposed or correlated against metadata/surrogates, facilitating the visualization and detection of differences in the resultant peptide display (D). For the identification of peptides, peaks from individual HPLC fractions can be subjected to nESI-qTOF-MS/MS or MALDI-TOF/TOF-MS sequencing, resulting in peptide fragment spectra (E). These spectra serve to identify the corresponding peptide sequence by remote database searching.