Novel proteomic approaches for tissue analysis

Proteomics, the global study of protein expression and characteristics, has recently emerged as a key component in the field of molecular analysis. The dynamic nature of proteins, from ion channels to chaperones, presents a challenge, yet the understanding of these molecules provides a rich source of information. When applying proteomic analysis directly to human tissue samples, additional difficulties arise. The following article presents an overview of the current proteomic tools used in the analysis of tissues, beginning with conventional methods such as western blot analysis and 2D polyacrylamide gel electrophoresis. The most current high-throughput techniques being used today are also reviewed. These include protein arrays, reverse-phase protein lysate arrays, matrix-assisted laser desorption/ionization, surface-enhanced laser desorption/ionization and layered expression scanning. In addition, bioinformatics as well as issues regarding tissue preservation and microdissection to obtain pure cell populations are included. Finally, future directions of the tissue proteomics field are discussed.     

Proteohistography--direct analysis of tissue with high sensitivity and high spatial resolution using ProteinChip technology.

On the proteomic level, all tissues, tissue constituents, or even single cells are heterogeneous, but the biological relevance of this cannot be adequately investigated with any currently available technique. The analysis of proteins of small tissue areas by any proteomic approach is limited by the number of required cells. Increasing the number of cells only serves to lower the spatial resolution of expressed proteins. To enhance sensitivity and spatial resolution we developed Proteohistography. Laser microdissection was used to mark special areas of interest on tissue sections attached to glass slides. These areas were positioned under microscopic control directly on an affinity chromatographic ProteinChip Array so that cells were lysed and their released proteins bound on a spatially defined point. The ProteinChip System, surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS), allows the laser to be steered to up to 215 distinct positions across the surface of the spot, enabling a high spatial resolution of measured protein profiles for the analyzed tissue area. Protein profiles of the single positions were visually plotted over the used tissue section to visualize distribution proteohistologically. Results show that the spatial distribution of detectable proteins could be used as a Proteohistogram for a given tissue area. Consequently, this procedure can provide additional information to both a matrix-assisted laser desorption/ionization (MALDI)-based approach and immunohistochemistry, as it is more sensitive, highly quantitative, and no specific antibody is needed. Hence, proteomic heterogeneity can be visualized even if proteins are not known or identified.     

Opportunities and limitations of SELDI-TOF-MS in biomedical research: practical advices

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, or surface-enhanced laser desorption/ionization ProteinChip technology, has been widely used in obtaining the quantitative profiles of tissue proteomes, particularly plasma proteomes. Its high-throughput nature and simplicity in its experimental procedures have allowed this technology to become a popular research tool for biomarker discovery in the past 5 years. After accumulating more research experiences, researchers now have a better understanding of the characteristics and limitations of this technology, as well as the pitfalls in biomarker research, by undertaking a comparative proteomic approach. This review provides an overview of the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, discusses its limitations and provides some possible solutions to help apply this technology to biomarker research.     

Novel In Situ Pretreatment Method for Significantly Enhancing the Signal In MALDI-TOF MS of Formalin-Fixed Paraffin-Embedded Tissue Sections

The application of matrix-assisted laser desorption/ionization (MALDI)-based mass spectrometry (MS) to the proteomic analysis of formalin-fixed paraffin-embedded (FFPE) tissue presents significant technical challenges. In situ enzymatic digestion is frequently used to unlock formalin-fixed tissues for analysis, but the results are often unsatisfactory. Here, we report a new, simplified in situ pretreatment method for preparing tissue sections for MS that involves heating with vapor containing acetonitrile in a small airtight pressurized space. The utility of the novel method is shown using FFPE tissue of human colon carcinoma. The number and intensity of MALDI peaks obtained from analysis of pretreated tissue was significantly higher than control tissue not subjected to pretreatment. A prominent peak (m/z 850) apparently specific to cancerous tissue was identified as a fragment of histone H2A in FFPE tissue pretreated using our method. This highly sensitive treatment may enable MALDI-MS analysis of archived pathological FFPE samples, thus leading to the identification of new biomarkers.     

Proteomics Approaches for Identification of Tumor Relevant Protein Targets in Pulmonary Squamous Cell Carcinoma by 2D-DIGE-MS

Potential markers for progression of pulmonary squamous cell carcinoma (SCC) were identified by examining samples of lung SCC and adjacent normal tissues using a combination of fluorescence two-dimensional difference gel electrophoresis (2D-DIGE), matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS), and electrospray ionization quadrupole-time of flight mass spectrometry (ESI-Q-TOF). The PANTHER System was used for gel image based quantification and statistical analysis. An analysis of proteomic data revealed that 323 protein spots showed significantly different levels of expression (P≤0.05) in lung SCC tissue compared to expression in normal lung tissue. A further analysis of these protein spots by MALDI-TOF-MS identified 81 different proteins. A systems biology approach was used to map these proteins to major pathways involved in numerous cellular processes, including localization, transport, cellular component organization, apoptosis, and reproduction. Additionally, the expression of several proteins in lung SCC and normal tissues was examined using immunohistochemistry and western blot. The functions of individual proteins are being further investigated and validated, and the results might provide new insights into the mechanism of lung SCC progression, potentially leading to the design of novel diagnostic and therapeutic strategies.     

Opportunities and limitations of SELDI-TOF-MS in biomedical research: practical advices

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, or surface-enhanced laser desorption/ionization ProteinChip^® technology, has been widely used in obtaining the quantitative profiles of tissue proteomes, particularly plasma proteomes. Its high-throughput nature and simplicity in its experimental procedures have allowed this technology to become a popular research tool for biomarker discovery in the past 5 years. After accumulating more research experiences, researchers now have a better understanding of the characteristics and limitations of this technology, as well as the pitfalls in biomarker research, by undertaking a comparative proteomic approach. This review provides an overview of the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, discusses its limitations and provides some possible solutions to help apply this technology to biomarker research.     

Data mining in proteomic mass spectrometry

Data mining application to proteomic data from mass spectrometry has gained much interest in recent years. Advances made in proteomics and mass spectrometry have resulted in considerable amount of data that cannot be easily visualized or interpreted. Mass spectral proteomic datasets are typically high dimensional but with small sample size. Consequently, advanced artificial intelligence and machine learning algorithms are increasingly being used for knowledge discovery from such datasets. Their overall goal is to extract useful information that leads to the identification of protein biomarker candidates. Such biomarkers could potentially have diagnostic value as tools for early detection, diagnosis, and prognosis of many diseases. The purpose of this review is to focus on the current trends in mining mass spectral proteomic data. Special emphasis is placed on the critical steps involved in the analysis of surface-enhanced laser desorption/ionization mass spectrometry proteomic data. Examples are drawn from previously published studies and relevant data mining terminology and techniques are exlained.     

Toward functional proteomics of alveolar macrophages

Alveolar macrophages (AM) belong to a phenotype of macrophages with distinct biological functions and important pathophysiological roles in lung health and disease. The molecular details determining AM differentiation from blood monocytes and AM roles in lung homeostasis are largely unknown. With the use of different technological platforms, advances in the field of proteomics have made it possible to search for differences in protein expression between AM and their precursor monocytes. Proteome features of each cell type provide new clues into understanding mononuclear phagocyte biology. In-depth analyses using subproteomics and subcellular proteomics offer additional information by providing greater protein resolution and detection sensitivity. With the use of proteomic techniques, large-scale mapping of phosphorylation differences between the cell types have become possible. Furthermore, two-dimensional gel proteomics can detect germline protein variants and evaluate the impact of protein polymorphisms on an individual's susceptibility to disease. Finally, surface-enhanced laser desorption and ionization (SELDI) time-of-flight mass spectrometry offers an alternative method to recognizing differences in protein patterns between AM and monocytes or between AM under different pathological conditions. This review details the current status of this field and outlines future directions in functional proteomic analyses of AM and monocytes. Furthermore, this review presents viewpoints of integrating proteomics with translational topics in lung diseases to define the mechanisms of disease and to uncover new diagnostic and therapeutic targets.     

Protéomique et marqueurs cardiaques

Cardiovascular diseases are the major causes of morbidity and mortality in western countries and the molecular mechanisms responsible are greatly unknown unless a genetic defect or genes/proteins alteration. The biological complexity has shown that one gene did not encode for one protein but for several, due to mRNA splicing and post-translational modifications. Proteomic analysis is a technology that can provide a global approach to study protein modulation and study by differential comparison various samples. Surface-enhanced laser desorption ionization–time of flight (SELDI–TOF) analysis is a technique, based on combination of chromatography of proteins on proteinchip arrays and mass spectrometry, allowing the comparison of protein profiles from various biological samples. This technology has been particularly used for plasma/serum analysis. We will take, as example, the comparative proteomic analysis of plasma from patients having a myocardial infarction by the SELDI approach in describing the principle, the problems linked to the study of plasma, the protein identification and the validation of the technology using other techniques. These approaches have been proved to be interesting for studying cardiovascular diseases in order to better understand the molecular mechanisms involved and identifying protein interactions and new biological factors/biomarkers involved in cardiovascular.     

Studying multiple protein profiles over time to assess biomarker validity

Protein profile analysis is increasingly used for identification of disease biomarkers. The approaches vary from surface-enhanced laser desorption/ionization to protein arrays. Newer platforms are constantly being developed. Almost all are based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and are often coupled with sophisticated software tools. Protein profiling has been applied to a variety of samples including plasma, urine, cerebrospinal fluid, saliva and solid tissue. This article focuses on those instances where it is possible to obtain sequential samples from the same individual. In the authors use of a profile method, many protein changes with highly significant correlations to disease have been found. The main challenge lies in the validation of the marker to demonstrate its adequacy for use in the clinical setting. The latter requires a methodology that is robust and amenable to high-throughput. One problem is that interindividual variability among the healthy population can mask major changes that occur on an intraindividual basis. Often, a large change for an individual may remain within the range of healthy individuals. Thus, one strategy to optimize biomarker discovery is to examine serial samples from a given individual, where a disease biomarker is established by comparison with the individual's own baseline sample. The focus of this review is to illustrate the principle and value of serial protein profiling using a rapid protein extraction method.     

Alternative profiling platform based on MELDI and its applicability in clinical proteomics

The presence of numerous proteomics data and their results in literature reveal the importance and influence of proteins and peptides on human cell cycle. For instance, the proteomic profiling of biological samples, such as serum, plasma or cells, and their organelles, carried out by surface-enhanced laser desorption/ionization mass spectrometry, has led to the discovery of numerous key proteins involved in many biological disease processes. However, questions still remain regarding the reproducibility, bioinformatic artifacts and cross-validations of such experimental set-ups. The authors have developed a material-based approach, termed material-enhanced laser desorption/ionization mass spectrometry (MELDI-MS), to facilitate and improve the robustness of large-scale proteomic experiments. MELDI-MS includes a fully automated protein-profiling platform, from sample preparation and analysis to data processing involving state-of-the-art methods, which can be further improved. Multiplexed protein pattern analysis, based on material morphology, physical characteristics and chemical functionalities provides a multitude of protein patterns and allows prostate cancer samples to be distinguished from non-prostate cancer samples. Furthermore, MELDI-MS enables not only the analysis of protein signatures, but also the identification of potential discriminating peaks via capillary liquid chromatography mass spectrometry. The optimized MELDI approach offers a complete proteomics platform with improved sensitivity, selectivity and short sample preparation times.     

Utility of mass spectrometry for proteome ana lysis: part I. Conceptual and experimental approaches

This article is the first in a series of reviews intended as a tutorial providing the inexperienced, as well as the experienced, reader with an overview of principles of peptide and protein fragmentation in mass spectrometers for protein identification, surveying of the different types of instrument configurations and their combinations for protein identification. The first mass spectrometer was developed in 1899, but it took almost a century for the instrument to become a routine analytical method in proteomic research when fast atom bombardment ionization was developed, followed shortly by soft desorption/ionization methods, such as MALDI and electrospray ionization, to volatize biomolecules with masses of tens of kiloDaltons into the gas phase under vacuum pressure without destroying them. Thereafter, other soft ionization techniques that offered ambient conditions were also introduced, such as atmospheric pressure MALDI, direct analysis in real time, atmospheric-pressure solid analysis probe and hybrid ionization, sources of MALDI and electrospray ionization (e.g., two-step fused droplet electrospray ionization, laser desorption atmospheric-pressure chemical ionization, electrosonic spray ionization, desorption electrospray ionization, and electrospray-assisted laser desorption/ionization). The five basic types of mass analyzers currently used in proteomic research are the quadrupole, ion trap, orbitrap, Fourier transform ion cyclotron resonance and TOF instruments, which differ in how they determine the mass-to-charge ratios of the peptides. They have very different design and performance characteristics. These analyzers can be stand alone or, in some cases, put together in tandem or in conjunction with ion mobility mass spectrometry to take advantage of the strengths of each. Several singly or multiply charged fragment ion types, such as b, y, a, c, z, v, y and immonium ions are produced in the gas phase of the spectrometer. In the bottom-up sequencing approach for protein identification in a shotgun proteomic experiment, proteolytic digestion of proteins is accomplished by cleavage of the different bonds along the peptide backbone and/or side chain through a charge-directed transfer to the vicinity of the cleavage side. These various mass spectrometers and the types of ions produced have become important analytical tools for studying and analyzing proteins, peptides and amino acids.     

Alternative profiling platform based on MELDI and its applicability in clinical proteomics

The presence of numerous proteomics data and their results in literature reveal the importance and influence of proteins and peptides on human cell cycle. For instance, the proteomic profiling of biological samples, such as serum, plasma or cells, and their organelles, carried out by surface-enhanced laser desorption/ionization mass spectrometry, has led to the discovery of numerous key proteins involved in many biological disease processes. However, questions still remain regarding the reproducibility, bioinformatic artifacts and cross-validations of such experimental set-ups. The authors have developed a material-based approach, termed material-enhanced laser desorption/ionization mass spectrometry (MELDI-MS), to facilitate and improve the robustness of large-scale proteomic experiments. MELDI-MS includes a fully automated protein-profiling platform, from sample preparation and analysis to data processing involving state-of-the-art methods, which can be further improved. Multiplexed protein pattern analysis, based on material morphology, physical characteristics and chemical functionalities provides a multitude of protein patterns and allows prostate cancer samples to be distinguished from non-prostate cancer samples. Furthermore, MELDI-MS enables not only the analysis of protein signatures, but also the identification of potential discriminating peaks via capillary liquid chromatography mass spectrometry. The optimized MELDI approach offers a complete proteomics platform with improved sensitivity, selectivity and short sample preparation times.     

Proteomic analysis of formalin-fixed paraffin-embedded tissue by MALDI imaging mass spectrometry

Archived formalin-fixed paraffin-embedded (FFPE) tissue collections represent a valuable informational resource for proteomic studies. Multiple FFPE core biopsies can be assembled in a single block to form tissue microarrays (TMAs). We describe a protocol for analyzing protein in FFPE-TMAs using matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS). The workflow incorporates an antigen retrieval step following deparaffinization, in situ trypsin digestion, matrix application and then mass spectrometry signal acquisition. The direct analysis of FFPE-TMA tissue using IMS allows direct analysis of multiple tissue samples in a single experiment without extraction and purification of proteins. The advantages of high speed and throughput, easy sample handling and excellent reproducibility make this technology a favorable approach for the proteomic analysis of clinical research cohorts with large sample numbers. For example, TMA analysis of 300 FFPE cores would typically require 6 h of total time through data acquisition, not including data analysis.     

Optimizing microarray-based in situ transcription-translation of proteins for matrix-assisted laser desorption ionization mass spectrometry

The analysis of self-assembled protein microarrays, using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry, combines two high-throughput platforms for investigation of the proteome. In this article, we describe the fabrication in situ of protein arrays optimized for MALDI characterization. Using the green fluorescent protein (GFP) both as an epitope for immobilization and as a gauge for relative protein expression, we were able to generate amounts of protein on the array slides sufficient for MALDI identification. In addition, expression of N-terminal protein constructs fused to GFP demonstrated mass shifts consistent with that of the full-length protein. We envision this technology to be important for the functional screening of protein interactions.     

Quantitative profiling of plasma peptides in asthmatic mice using liquid chromatography and mass spectrometry

Asthma is increasing in prevalence worldwide as a result of factors associated with a Western lifestyle. However, simple and reliable diagnostic and prognostic markers are yet to be found. In an attempt to identify protein biomarker profiles among small molecular weight ranges, we employed an approach combining liquid chromatography with mass spectrometry, instead of two-dimensional gel electrophoresis (2-DE), which has previously been used to analyze protein expression patterns. Here we described its application to compare plasma peptides from control and chronic asthma mice. Peptides were quantitatively profiled as a multidimensional peptide mass fingerprint by a combination of reverse-phase high-performance liquid chromatography and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. They were identified by peptide mass fingerprinting using matrix-assisted laser desorption/ionization time-of-flight/time-of-flight tandem mass spectrometry. In this study, we quantitatively identified the fragment f of complement 3 (C3f), which is important in inflammation. C3f was significantly higher in controls than chronic asthma mice. Our strategy allowed the detection and identification of different plasma peptides between control and chronic asthma mice on a proteomic scale. Therefore, these results suggest that native small peptides detected by non-2-DE techniques may be useful and specific biomarkers of disease.     

Studying multiple protein profiles over time to assess biomarker validity

Protein profile analysis is increasingly used for identification of disease biomarkers. The approaches vary from surface-enhanced laser desorption/ionization to protein arrays. Newer platforms are constantly being developed. Almost all are based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and are often coupled with sophisticated software tools. Protein profiling has been applied to a variety of samples including plasma, urine, cerebrospinal fluid, saliva and solid tissue. This article focuses on those instances where it is possible to obtain sequential samples from the same individual. In the authors use of a profile method, many protein changes with highly significant correlations to disease have been found. The main challenge lies in the validation of the marker to demonstrate its adequacy for use in the clinical setting. The latter requires a methodology that is robust and amenable to high-throughput. One problem is that interindividual variability among the healthy population can mask major changes that occur on an intraindividual basis. Often, a large change for an individual may remain within the range of healthy individuals. Thus, one strategy to optimize biomarker discovery is to examine serial samples from a given individual, where a disease biomarker is established by comparison with the individual’s own baseline sample. The focus of this review is to illustrate the principle and value of serial protein profiling using a rapid protein extraction method.     

Use of surface-enhanced laser desorption/ionization -time of flight to explore bacterial proteomes

Surface-enhanced laser desorption/ionization (SELDI)-time of flight is a recent technology that allows proteomic analysis with limited material requirements. This characteristic makes it a valuable technique for microbiologists handling problematic samples, such as low cell number cultures. We compared three simple procedures for protein extraction from bacteria for compatibility with the ProteinChip Array; we also determined the amount of protein required for each analysis. The protocol for the SELDI analysis was evaluated by generating protein expression profiles of a Streptococcus pneumoniae strain grown in different conditions and those of different strains of the same species. The protocol also was successfully applied to a wide range of Gram positive and negative bacteria. The results of this study suggest the appropriateness of this technology for microorganism protein profiling as complementary or alternative to two-dimensional gel electrophoresis.     

MALDImID: Spatialomics R package and Shiny app for more specific identification of MALDI imaging proteolytic peaks using LC-MS/MS-based proteomic biomarker discovery data

Matrix-assisted laser desorption/ionization (MALDI) imaging of proteolytic peptides from formalin-fixed paraffin embedded (FFPE) tissue sections could be integrated in the portfolio of molecular pathologists for protein localization and tissue classification. However, protein identification can be very tedious using MALDI-time-of-flight (TOF) and post-source decay (PSD)-based fragmentation. Hereby, we implemented an R package and Shiny app to exploit liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomic biomarker discovery data for more specific identification of peaks observed in bottom-up MALDI imaging data. The package is made available under the GPL 3 license. The Shiny app can directly be used at the following address: https://biosciences.shinyapps.io/Maldimid.     

Proteome map of Aspergillus nidulans during osmoadaptation

The model filamentous fungus Aspergillus nidulans, when grown in a moderate level of osmolyte (+0.6M KCl), was previously found to have a significantly reduced cell wall elasticity (Biotech Prog, 21:292, 2005). In this study, comparative proteomic analysis via two-dimensional gel electrophoresis (2de) and matrix-assisted laser desorption ionization/time-of-flight (MALDI-TOF) mass spectrometry was used to assess molecular level events associated with this phenomenon. Thirty of 90 differentially expressed proteins were identified. Sequence homology and conserved domains were used to assign probable function to twenty-one proteins currently annotated as "hypothetical." In osmoadapted cells, there was an increased expression of glyceraldehyde-3-phosphate dehydrogenase and aldehyde dehydrogenase, as well as a decreased expression of enolase, suggesting an increased glycerol biosynthesis and decreased use of the TCA cycle. There also was an increased expression of heat shock proteins and Shp1-like protein degradation protein, implicating increased protein turnover. Five novel osmoadaptation proteins of unknown functions were also identified.