Non-metric similarity search of tandem mass spectra including posttranslational modifications

AbstractIn biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an “in vitro” sample. The sequences are not determined directly, but they must be interpreted from the mass spectra, which is the output of the mass spectrometer. This work is focused on a similarity-search approach to mass spectra interpretation, where the parameterized Hausdorff distance (dHP) is used as the similarity. In order to provide an efficient similarity search under dHP, the metric access methods and the TriGen algorithm (controlling the metricity of dHP) are employed. Moreover, the search model based on the dHP supports posttranslational modifications (PTMs) in the query mass spectra, what is typically a problem when an indexing approach is used. Our approach can be utilized as a coarse filter by any other database approach for mass spectra interpretation

Characterization of the Extracellular Proteome of a Natural Microbial Community with an Integrated Mass Spectrometric / Bioinformatic Approach

Proteomics comprises the identification and characterization of the complete suite of expressed proteins in a given cell, organism or community. The coupling of high performance liquid chromatography (LC) with high throughput mass spectrometry (MS) has provided the foundation for current proteomic progression. The transition from proteomic analysis of a single cultivated microbe to that of natural microbial assemblages has required significant advancement in technology and has provided greater biological understanding of microbial community diversity and function. To enhance the capabilities of a mass spectrometric based proteomic analysis, an integrated approach combining bioinformatics with analytical preparations and experimental data collection was developed and applied. This has resulted in a deep characterization of the extracellular fraction of a community of microbes thriving in an acid mine drainage system. Among the notable features of this relatively low complexity community, they exist in a solution that is highly acidic (pH \u3c 1) and hot (temperature \u3e 40°C), with molar concentrations of metals. The extracellular fraction is of particular interest due to the potential to identify and characterize novel proteins that are critical for survival and interactions with the harsh environment. The following analyses have resulted in the specific identification and characterization of novel extracellular proteins. In order to more accurately identify which proteins are present in the extracellular space, a combined computational prediction and experimental identification of the extracellular fraction was performed. Among the hundreds of proteins identified, a highly abundant novel cytochrome was targeted and ultimately characterized through high performance MS. In order to achieve deep proteomic coverage of the extracellular fraction, a metal affinity based protein enrichment utilizing seven different metals was developed and employed resulting in novel protein identifications. A combined top down and bottom up analysis resulted in the characterization of the intact molecular forms of extracellular proteins, including the identification of post-translational modifications. Finally, in order to determine the effectiveness of current MS methodologies, a software package was designed to characterize the \u3e 100,000 mass spectra collected during an MS experiment, revealing that specific optimizations in the LC, MS and protein sequence database have a significant impact on proteomic depth

Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry

Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods to aid the novice and experienced researcher. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this work to serve as a basic resource for new practitioners in the field of shotgun or bottom-up proteomics