How Industry Is Approaching the Search for New Diagnostic Markers and Biomarkers

Discovery of Biomarker Candidates within Disease by Protein Profiling: Principles and Concepts†

Proteins and peptides present within clinical samples represent a valuable library of information regarding the ongoing processes within cells and tissues in health and disease. We have developed and validated novel technology applications that can be used to characterize the patterns of global protein expression in tissue and biofluids in either gel-based systems or by automated multidimensional nanocapillary liquid chromatography. Mass spectrophotometry platforms using MALDI MS and MS/MS or LTQ ion trap MS were capable of delivering sensitive and accurate identifications of hundreds of proteins contained in individual samples including individual forms of processing intermediates such as phospho peptides. The Systems Biology approach of integrating protein expression data with clinical data such as histopathology, clinical functional measurements, medical imaging scores, patient demographics, and clinical outcome provides a powerful tool for linking biomarker expression with biological processes that can be segmented and linked to disease presentation.

“LANESPECTOR”, a tool for membrane proteome profiling based on sodium dodecyl sulfate-polyacrylamide gel electrophoresis/liquid chromatography - tandem mass spectrometry analysis: Application toListeria monocytogenes membrane proteins

Proteomics is required to provide insight into any type of subproteome. While the workflow based on two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) can be applied for many subproteomes and comprises well-established strategies for data presentation and data analysis, the comprehensive investigation of membrane proteomes remains a challenging task. We present a number of procedures that provide an insight into such systems. We have established a novel protocol for the efficient preparation of membrane fractions, which is used here for the human pathogen Listeria monocytogenes that overcomes difficulties associated with ribosomes. Subsequently, we have used the combination of sodium dodecyl sulfate (SDS)-PAGE and liquid chromatography-tandem mass spectrometry for the characterization of the membrane proteome. Three hundred and one different membrane proteins could be identified, including 70 proteins that exhibited 2-15 transmembrane domains. However, a remarkably high ratio of proteins was detected in gel sections that were not in accordance with their expected migration behavior during SDS-PAGE. Protein identifications based on MASCOT significance criteria could be shown to be of high quality and therefore could not be the explanation of this observation. Consequently we have developed LaneSpector, a general visualization tool that allows the systematic comparison between apparent and calculated protein masses, which is routinely applicable to any high-throughput approach using a mass-dependent separation dimension prior to LC-MS/MS. The detailed presentation of the LaneSpector plot promotes the validation of the analytical process and might help to reveal relevant biological processes such as proteolysis or other post-translational modifications.

Integrative Proteomics: Functional and Molecular Characterization of a Particular Glutamate-Related Neuregulin Isoform

Glutamate is the major excitatory neurotransmitter in the mammalian brain and is related to memory by calcium-conducting receptors. Neuregulins have emerged as long-term modulating molecules of synaptic signaling by glutamate receptors, playing a role in some cognition/memory-related disorders and moreover being part of transient functional microdomains, called lipid rafts. Here we characterize one specific isoform of neuregulin as a central biomarker for glutamate-related signaling, integrating results from in vitro and in vivo models by a differential functional and proteomic approach.

Proteomic approaches in the search for disease biomarkers

Significant technological advances in protein chemistry, physics and computer sciences in the last two decades have greatly improved protein separation methodologies, such as electrophoresis and chromatography, and have established mass spectrometry (MS) as an indispensable tool for protein study. The goal of this review is to provide a brief overview of the recent improvements in these methodologies and present examples from their application in proteome analysis and search for disease biomarkers.

Integrated selective enrichment target--a microtechnology platform for matrix-assisted laser desorption/ionization-mass spectrometry applied on protein biomarkers in prostate diseases

The performance of a miniaturized sample processing platform for matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS), manufactured by silicon microfabrication, called integrated selective enrichment target (ISET) technology was evaluated in a biological context. The ISET serves as both sample treatment device and MALDI-MS target, and contains an array of 96 perforated nanovials, which each can be filled with 40 nL of reversed-phase beads. This methodology minimizes the number of sample transfers and the total surface area available for undesired adsorption of the analytes in order to provide high-sensitivity analysis. ISET technology was successfully applied for characterization of proteins coisolated by affinity chromatography of prostate-specific antigen (PSA) from human seminal fluid. The application of ISET sample preparation enabled multiple analyses to be performed on a limited sample volume, which resulted in the discovery that prolactin inducible protein (PIP) was coisolated from the samples.

Differential and quantitative molecular analysis of ischemia complexity reduction by isotopic labeling of proteins using a neural embryonic stem cell model

The analysis of rapid changes of protein expression in living systems in response to insults requires rigorous methods of complexity reduction. To control dynamic pattern of hundreds or even thousands of protein isoforms, we applied a novel method of differential molecular analysis to a cellular model which is suited to study ischemia. Neural derivatives of murine embryonic stem cells were exposed to chemical ischemia. The model was used to obtain starting material for a quantitative differential proteomics analysis. Fractionation of phosphoproteins from these samples and subsequent identification by mass spectrometry of differential proteins provide proof of principle of how novel molecular analytical tools provide new insight into the network of neuroprotective molecular events during specific situations of neuronal stress and related pharmaceutical intervention. Our results indicate a particular role of an isoform of the acidic calcium-independent phospholipase A2 in this type of insult.

Biomarkers in lysosomal storage diseases: a review

A biomarker is generally an analyte that indicates the presence or extent of a biological process, which is itself directly linked to the clinical manifestations and outcome of a particular disease. An ideal biomarker provides indirect but ongoing and specific determinations of disease activity. These characteristics emphasize the value of surrogate biomarkers for non-invasive and detailed monitoring to demonstrate the efficacy of orphan drugs in clinical trials. The emergence of novel laboratory methods has facilitated the search for biomarkers in lysosomal storage diseases (LSDs), by allowing the systematic identification of molecules whose expression is altered as a result of the primary storage pathology. In Gaucher disease, for example, a chemokine, CCL18, has been identified as a biomarker for clinical development that reflects disease severity and response to treatment.

CONCLUSION

New methods for the identification of novel biomarkers have the potential to provide mechanistic insights into the molecular pathogenesis of LSDs, including Fabry disease and Gaucher disease.

Top-down identification of endogenous peptides up to 9 kDa in cerebrospinal fluid and brain tissue by nanoelectrospray quadrupole time-of-flight tandem mass spectrometry

Recent work on protein and peptide biomarker patterns revealed the difficulties in identifying their molecular components, which is indispensable for validation of the biological context. Cerebrospinal fluid and brain tissue are used as sources to discover new biomarkers, e.g. for neurodegenerative diseases. Many of these biomarker candidates are peptides with a molecular mass of <10 kDa. Their identification is favourably achieved with a 'top-down' approach, because this requires less purification and an enzymatic cleavage will often not yield enough specific fragments for successful database searches. Here, we describe an approach using quadrupole time-of-flight mass spectrometry (TOFMS) as a highly efficient mass spectrometric purification and identification tool after off-line decomplexation of biological samples by liquid chromatography. After initial peptidomic screening with matrix-assisted laser desorption/ionization (MALDI) TOFMS, the elution behaviour in chromatography and the exact molecular mass were used to locate the same signals in nanoelectrospray measurements. Most of the peaks detected in MALDI-TOFMS could be retrieved in nanoelectrospray quadrupole TOFMS. Suitable collision energies for informative fragment spectra were investigated for different parent ions, charge states and molecular masses. After collision-induced dissociation, the resulting fragmentation data of multiply charged ions can become much more complicated than those derived from tryptic peptide digests. However, the mass accuracy and resolution of quadrupole TOF instruments results in high-quality data suitable for determining peptide sequences. The protein precursor, proteolytic processing and post-translational modifications were identified by automated database searches. This is demonstrated by the exemplary identifications of thymosin beta-4 (5.0 kDa) and NPY (4.3 kDa) from rat hypothalamic tissue and ubiquitin (8.6 kDa) from human cerebrospinal fluid. The high data quality should also allow for de novo identification. This methodology is generally applicable for peptides up to a molecular mass of about 10 kDa from body fluids, tissues or other biological sources.

Algorithm for accurate similarity measurements of peptide mass fingerprints and its application

We present a simple algorithm which allows accurate estimates of the similarity between peptide fingerprint mass spectra from matrix assisted laser desorption/ionization (MALDI) spectrometers. The algorithm, which is a combination of mass correlation and intensity rank correlation, was used to cluster similar spectra and to generate consensus spectra from a data store of more than 100,000 spectra. The resulting first spectra library of 1248 unambiguously identified different protein digests was used to search for missed cleavage patterns that have not been reported so far and to shed light on some peptide ionization characteristics. The findings of this study could be directly implemented in peptide mass fingerprint search algorithms to decrease the false positive error rate to <0.25%. Furthermore, the results contribute to the understanding of the peptide ionization process in MALDI experiments.

Ecotoxicogenomics: linkages between exposure and effects in assessing risks of aquatic contaminants to fish

Understanding the biological effects of exposures to chemicals in the environment relies on classical methods and emerging technologies in the areas of genomics, proteomics, and metabonomics. Linkages between the historical and newer toxicological tools are currently being developed in order to predict and assess risk. Being able to classify chemicals and other stressors based on effects they have at the molecular, tissue, and organismal levels helps define a systems biology approach to development of streamlined, cost-effective, and comprehensive testing approaches for evaluating environmental hazards. The challenges of the individual technologies and the combinations of tools for ecotoxicogenomics are discussed in application to aquatic toxicology with a particular emphasis on fish testing.

Hiding behind Hydrophobicity

Proteomics of membrane proteins is essential for the understanding of cellular function. However, mass spectrometric analysis of membrane proteomes has been less successful than the proteomic determination of soluble proteins. To elucidate the mystery of transmembrane proteins in mass spectrometry, we present a detailed statistical analysis of experimental data derived from chloroplast membranes. This approach was further accomplished by the analysis of the Arabidopsis thaliana proteome after in silico digestion. We demonstrate that both the length and the hydrophobicity of the proteolytic fragments containing transmembrane segments are major determinants for detection by mass spectrometry. Based on a comparative analysis, we discuss possibilities to overcome the problem and provide possible protocols to shift the hydrophobicity of transmembrane segment-containing peptides to facilitate their detection.

Proteomics for hepatocellular carcinoma marker discovery

Refinements of serological markers and screening of patients at high risk for developing hepatocellular carcinoma (HCC) may lead to better HCC detection, earlier intervention, and successful treatment, improving long-term outcomes. Proteomics promises the discovery of biomarkers for early HCC detection and diagnosis. Proteomic-based profiling uniquely allows delineation of global changes in expression patterns resulting from transcriptional and posttranscriptional control, posttranslational modifications, and shifts in proteins between cellular compartments. Approaches to that effect include direct serum protein profiling and comparative analysis of protein expression in normal, precancerous, and early-stage tumor tissues. Identification of panels of tumor antigens that elicit a humoral response also may contribute to the discovery of new markers for HCC screening and diagnosis. Today, 2-dimensional polyacrylamide gel electrophoresis, multidimensional liquid chromatography, mass spectrometry, and protein microarrays are among the proteomic tools available for biomarker and drug target discovery. We review these technologies and their application to the study of HCC. Our objective is to provide a framework for appreciating the promise, while at the same time understanding the challenges behind translating proteomics discovery into novel diagnostic tests.

Proteomics: how to control highly dynamic patterns of millions of molecules and interpret changes correctly?

"Proteomics" is essentially protein analysis and, until recently, could be described as an umbrella for a set of technology and bioinformatic platforms aimed at the comprehensive molecular description of the actual protein complement of a given sample. Today, it is typically associated with systems biology. In this context, powerful new technologies for differential complexity reduction promise to solve some of the most pressing problems in drug development. The resulting analytical challenges of unprecedented complexity are emerging as one of the last frontiers of molecular biology. Considerable progress has been made in characterizing rapid post-translational protein modifications in highly complex molecular signatures as key disease-related biomarkers from experimental model systems or clinical samples.: Section Editors: Wolfgang Fischer, Rob Hooft, and Michael Walker Identifying a potential protein drug target within a cell is a major challenge in modern drug discovery; techniques for screening the proteome are, therefore, an important tool. Major difficulties for target identification include the separation of proteins and their detection. The latest developments in techniques that master these challenges, such as SDS-PAGE and liquid chromatography in combination with isotopic labeling and staining techniques, are highlighted in this review. The authors evaluate the applicability of these approaches for specific tasks.