Serum peptidomic biomarkers for pulmonary metastatic melanoma identified by means of a nanopore-based assay.

The significant mortality rate associated with metastatic melanoma, which exceeds the number of deaths attributed to the primary tumor, is primarily due to poor diagnosis and increased resistance to systemic therapy. Early detection and treatment of invasive melanoma are therefore crucial to increase survival rates. Low molecular weight proteins and peptides have garnered significant interest as biomarker candidates as they potentially represent a snap shot of pathological condition within the body and, by extension, the organism as a whole. We have developed a nanoporous silica-based platform to segregate the low molecular weight from the high molecular weight protein fraction to aid in the detection of peptides from serum samples using mass spectrometry. The combination of sample treatment with our platform, MALDI-TOF MS and following biostatistical analysis led to the discovery and identification of 27 peptides that are potential biomarkers associated with the development of pulmonary metastatic melanoma. We strongly believe our findings can assist to discover stage-specific peptide signatures and lead to more specific and personalized treatments for patients suffering from pulmonary metastatic melanoma.

Sample preparation techniques for the untargeted LC-MS-based discovery of peptides in complex biological matrices.

Although big progress has been made in sample pretreatment over the last years, there are still considerable limitations when it comes to overcoming complexity and dynamic range problems associated with peptide analyses from biological matrices. Being the little brother of proteomics, peptidomics is a relatively new field of research aiming at the direct analysis of the small proteins, called peptides, many of which are not amenable for typical trypsin-based analytics. In this paper, we present an overview of different techniques and methods currently used for reducing a sample's complexity and for concentrating low abundant compounds to enable successful peptidome analysis. We focus on techniques which can be employed prior to liquid chromatography coupled to mass spectrometry for peptide detection and identification and indicate their advantages as well as their shortcomings when it comes to the untargeted analysis of native peptides from complex biological matrices.

Identification of low abundant secreted proteins and peptides from primary culture supernatants of human T-cells.

Live cells continually communicate with their surroundings by the secretion of biomolecules, among which proteins and/or peptides are an important class. As such, these protein/peptide signals which end up in the extracellular medium, reflect the state of a cell in a certain condition, and as by definition are potential biomarkers indicative for specific physiological/pathological processes. We here report on a mass spectrometry based method for the detection and analysis of peptides and proteins secreted in a highly complex background, such as cell culture supernatant. Our method, which combines chromatography, high duty cycle tandem mass spectrometry and bio-informatics, enables the detection of interleukin-2 (IL-2), a cytokine secreted by activated T-cells, present in cell supernatant while representing only 0.006‰ of the total protein content. Moreover, the method allows the mass spectrometric analysis of signaling proteins in a non-targeted way and without any prior immunodepletion of the highest abundant cell culture medium proteins. In this study this is exemplified by the detection of yet two other secretory peptides, i.e., the granulins A and B, in the primary culture supernatant of non-activated T-cells.