Protein identification using tandem mass spectrometry (MS/MS) has proven to be an effective way to identify proteins in a biological sample. An observed spectrum is constructed from the data produced by the tandem mass spectrometer. A protein can be identified if the observed spectrum aligns with the theoretical spectrum. However, data generated by the tandem mass spectrometer are affected by errors thus making protein identification challenging in the field of proteomics. Some of these errors include wrong calibration of the instrument, instrument distortion and noise. In this thesis, we present a pre-processing method, which focuses on the removal of noisy data with the hope of aiding in better identification of proteins. We employ the method of binning to reduce the number of noise peaks in the data without sacrificing the alignment of the observed spectrum with the theoretical spectrum. In some cases, the alignment of the two spectra improved.

<p>Proteomics is the analysis of the total complement of proteins expressed by a cell or organism grown under a specified condition. The obtained protein profile would provide a better understanding of phenotypic characteristics of a cell grown under pre-determined conditions. Mass spectrometric-based protein analysis is currently the standard method in proteomic studies; however, there are many limitations associated with its application. The major objectives of this study included the development of a strategy to analyze the confidence of identified proteins and the development of an algorithm to interpret the experimentally obtained mass spectral data. </p> <p>A two-step strategy was developed to analyze the confidence of identified proteins. In the first step, the proteins identified by a single protein identification tool were classified into two groups: high confidence proteins that were identified by unique peptides, and low confidence proteins that were identified by non-unique peptides. In the second step, the proteins identified by different tools (e.g., SEQUEST and Mascot in our work) were cross-compared. After integrating the two-step analysis, the identified proteins were classified into four levels of confidence. The proteins that were identified by the presence of unique peptides and that were commonly identified by different tools were grouped into the highest confidence level - Level 4. Even though the number of proteins in Level 4 was reduced significantly, the conclusions drawn from the proteins were more reliable.</p> <p>According to the operation of tandem mass spectrometry and the characteristics of the peptides generated by site-specific protease digestion, a two-pass approach for identifying the species-specific proteins was developed. The approach can find all possible peptides corresponding to a precursor ion and gives detailed matching information of each peptide candidate to the experimental product ion series. According to the total number of matched product ions, the total number of matched b- and y- ions, and the contiguity characteristic of identified product ions, the peptide candidates were ranked decreasingly from the most probable to the least. Combined with the concept of unique peptide, the obtained most probable peptide can then be used to predict proteins existing in the original sample.</p> <p>The developed two-pass approach and two-step strategy were then used to study the protein profiling of <i>Saccharomyces cerevisiae</i> cultivated in various gravity conditions (10 and 300 g glucose/l) in order to investigate the changes in central metabolic pathways of <i>S. cerevisiae</i>. Our fermentation data indicated that the higher glucose contents would result in lower cell growth and higher ethanol production (e.g., high ethanol concentration in fermentation broth). However, the relative ethanol yield as related to the glucose consumption was lower under higher glucose concentrations. The protein profile showed that a higher flux of nutrient was channelled into the pentose phosphate pathway when <i>S. cerevisiae</i> was grown under a high glucose concentration. The reason for this phenomenon might be that the cell needs more reducing power (e.g., NADPH) for the synthesis of macromolecules such as proteins, nucleic acids, and lipids. These materials are essential to the cell in order to modify its structure (e.g., cell wall), to survive osmotic stress and to replicate.</p>

<p>Proteomics is the analysis of the total complement of proteins expressed by a cell or organism grown under a specified condition. The obtained protein profile would provide a better understanding of phenotypic characteristics of a cell grown under pre-determined conditions. Mass spectrometric-based protein analysis is currently the standard method in proteomic studies; however, there are many limitations associated with its application. The major objectives of this study included the development of a strategy to analyze the confidence of identified proteins and the development of an algorithm to interpret the experimentally obtained mass spectral data. </p> <p>A two-step strategy was developed to analyze the confidence of identified proteins. In the first step, the proteins identified by a single protein identification tool were classified into two groups: high confidence proteins that were identified by unique peptides, and low confidence proteins that were identified by non-unique peptides. In the second step, the proteins identified by different tools (e.g., SEQUEST and Mascot in our work) were cross-compared. After integrating the two-step analysis, the identified proteins were classified into four levels of confidence. The proteins that were identified by the presence of unique peptides and that were commonly identified by different tools were grouped into the highest confidence level - Level 4. Even though the number of proteins in Level 4 was reduced significantly, the conclusions drawn from the proteins were more reliable.</p> <p>According to the operation of tandem mass spectrometry and the characteristics of the peptides generated by site-specific protease digestion, a two-pass approach for identifying the species-specific proteins was developed. The approach can find all possible peptides corresponding to a precursor ion and gives detailed matching information of each peptide candidate to the experimental product ion series. According to the total number of matched product ions, the total number of matched b- and y- ions, and the contiguity characteristic of identified product ions, the peptide candidates were ranked decreasingly from the most probable to the least. Combined with the concept of unique peptide, the obtained most probable peptide can then be used to predict proteins existing in the original sample.</p> <p>The developed two-pass approach and two-step strategy were then used to study the protein profiling of <i>Saccharomyces cerevisiae</i> cultivated in various gravity conditions (10 and 300 g glucose/l) in order to investigate the changes in central metabolic pathways of <i>S. cerevisiae</i>. Our fermentation data indicated that the higher glucose contents would result in lower cell growth and higher ethanol production (e.g., high ethanol concentration in fermentation broth). However, the relative ethanol yield as related to the glucose consumption was lower under higher glucose concentrations. The protein profile showed that a higher flux of nutrient was channelled into the pentose phosphate pathway when <i>S. cerevisiae</i> was grown under a high glucose concentration. The reason for this phenomenon might be that the cell needs more reducing power (e.g., NADPH) for the synthesis of macromolecules such as proteins, nucleic acids, and lipids. These materials are essential to the cell in order to modify its structure (e.g., cell wall), to survive osmotic stress and to replicate.</p>

No / The identification of proteins involved in tumour progression or which permit enhanced or novel therapeutic targeting is essential for cancer research. Direct MALDI analysis of tissue sections is rapidly demonstrating its potential for protein imaging and profiling in the investigation of a range of disease states including cancer. MALDI-mass spectrometry imaging (MALDI-MSI) has been used here for direct visualisation and in situ characterisation of proteins in breast tumour tissue section samples. Frozen MCF7 breast tumour xenograft and human formalin-fixed paraffin-embedded breast cancer tissue sections were used. An improved protocol for on-tissue trypsin digestion is described incorporating the use of a detergent, which increases the yield of tryptic peptides for both fresh frozen and formalin-fixed paraffin-embedded tumour tissue sections. A novel approach combining MALDI-MSI and ion mobility separation MALDI-tandem mass spectrometry imaging for improving the detection of low-abundance proteins that are difficult to detect by direct MALDI-MSI analysis is described. In situ protein identification was carried out directly from the tissue section by MALDI-MSI. Numerous protein signals were detected and some proteins including histone H3, H4 and Grp75 that were abundant in the tumour region were identified

Bone healing involves a variety of different cell types and biological processes. Although certain key molecules have been identified, the molecular interactions of the healing progress are not completely understood. Moreover, a clinical routine for predicting the quality of bone healing after a fracture in an early phase is missing. This is mainly due to a lack of techniques to comprehensively screen for cytokines, growth factors and metabolites at their local site of action. Since all soluble molecules of interest are present in the fracture hematoma, its in-depth assessment could reveal potential markers for the monitoring of bone healing. Here, we describe an approach for sampling and quantification of cytokines and metabolites by using microdialysis, combined with solid phase extractions of proteins from wound fluids. By using a control group with an isolated soft tissue wound, we could reveal several bone defect-specific molecular features. In bone defect dialysates the neutrophil chemoattractants CXCL1, CXCL2 and CXCL3 were quantified with either a higher or earlier response compared to dialysate from soft tissue wound. Moreover, by analyzing downstream adaptions of the cells on protein level and focusing on early immune response, several proteins involved in the immune cell migration and activity could be identified to be specific for the bone defect group, e.g. immune modulators, proteases and their corresponding inhibitors. Additionally, the metabolite screening revealed different profiles between the bone defect group and the control group. In summary, we identified potential biomarkers to indicate imbalanced healing progress on all levels of analysis.

<p>This study reports on a proteomic analysis of sorghum proteomes in response to salt and hyperosmotic stresses. Two-dimensional gel electrophoresis (2DE) in combination with mass spectrometry (MS) was used to separate, visualise and identify sorghum proteins using both sorghum cell suspension cultures and whole plants. The sorghum cell suspension culture system was used as a source of culture filtrate (CF) proteins. Of the 25 visualised CBB stained CF spots, 15 abundant and well-resolved spots were selected for identification using a combination of MALDI-TOF and MALDI-TOFTOF MS, and database searching. Of these spots, 14 were positively identified as peroxidases, germin proteins, oxalate oxidases and alpha-galactosidases with known functions in signalling processes, defense mechanisms and cell wall metabolism.</p>

<p>This study reports on a proteomic analysis of sorghum proteomes in response to salt and hyperosmotic stresses. Two-dimensional gel electrophoresis (2DE) in combination with mass spectrometry (MS) was used to separate, visualise and identify sorghum proteins using both sorghum cell suspension cultures and whole plants. The sorghum cell suspension culture system was used as a source of culture filtrate (CF) proteins. Of the 25 visualised CBB stained CF spots, 15 abundant and well-resolved spots were selected for identification using a combination of MALDI-TOF and MALDI-TOFTOF MS, and database searching. Of these spots, 14 were positively identified as peroxidases, germin proteins, oxalate oxidases and alpha-galactosidases with known functions in signalling processes, defense mechanisms and cell wall metabolism.</p>

<p>This study reports on a proteomic analysis of sorghum proteomes in response to salt and hyperosmotic stresses. Two-dimensional gel electrophoresis (2DE) in combination with mass spectrometry (MS) was used to separate, visualise and identify sorghum proteins using both sorghum cell suspension cultures and whole plants. The sorghum cell suspension culture system was used as a source of culture filtrate (CF) proteins. Of the 25 visualised CBB stained CF spots, 15 abundant and well-resolved spots were selected for identification using a combination of MALDI-TOF and MALDI-TOFTOF MS, and database searching. Of these spots, 14 were positively identified as peroxidases, germin proteins, oxalate oxidases and alpha-galactosidases with known functions in signalling processes, defense mechanisms and cell wall metabolism.</p>

<p>This study reports on a proteomic analysis of sorghum proteomes in response to salt and hyperosmotic stresses. Two-dimensional gel electrophoresis (2DE) in combination with mass spectrometry (MS) was used to separate, visualise and identify sorghum proteins using both sorghum cell suspension cultures and whole plants. The sorghum cell suspension culture system was used as a source of culture filtrate (CF) proteins. Of the 25 visualised CBB stained CF spots, 15 abundant and well-resolved spots were selected for identification using a combination of MALDI-TOF and MALDI-TOFTOF MS, and database searching. Of these spots, 14 were positively identified as peroxidases, germin proteins, oxalate oxidases and alpha-galactosidases with known functions in signalling processes, defense mechanisms and cell wall metabolism.</p>

Tandem mass spectrometry (MS/MS) is the dominant approach for large-scale peptide sequencing in high-throughput proteomic profiling studies. The computational analysis of MS/MS spectra involves the identification of peptides from experimental spectra, especially those with post-translational modifications (PTMs), as well as the inference of protein composition based on the putative identified peptides. In this thesis, we tackled two major challenges associated with an MS/MS analysis: 1) the refinement of PTM predictions from MS/MS spectra and 2) the inference of protein composition based on peptide predictions. We proposed two PTM prediction refinement algorithms, PTMClust and its Bayesian nonparametric extension \emph{i}PTMClust, and a protein identification algorithm, pro-HAP, that is based on a novel two-layer hierarchical clustering approach that leverages prior knowledge about protein function. Individually, we show that our two PTM refinement algorithms outperform the state-of-the-art algorithms and our protein identification algorithm performs at par with the state of the art. Collectively, as a demonstration of our end-to-end MS/MS computational analysis of a human chromatin protein complex study, we show that our analysis pipeline can find high confidence putative novel protein complex members. Moreover, it can provide valuable insights into the formation and regulation of protein complexes by detailing the specificity of different PTMs for the members in each complex.