Mass spectrometry: come of age for structural and dynamical biology

Over the past two decades, mass spectrometry (MS) has emerged as a bone fide approach for structural biology. MS can inform on all levels of protein organization, and enables quantitative assessments of their intrinsic dynamics. The key advantages of MS are that it is a sensitive, high-resolution separation technique with wide applicability, and thereby allows the interrogation of transient protein assemblies in the context of complex mixtures. Here we describe how molecular-level information is derived from MS experiments, and how it can be combined with spatial and dynamical restraints obtained from other structural biology approaches to allow hybrid studies of protein architecture and movements.     

Heme conjugated magnetic beads to isolate heme-binding proteins from complex mixtures

The cofactor heme (Fe-protoporphyrin IX) plays many important roles in biology. Identification of novel proteins for the transport, chaperoning and delivery of heme in cells is of widespread interest. Here, we describe the use of heme conjugated magnetic beads for the isolation of heme-binding proteins from complex protein mixtures. The reagent is straightforward to use, sensitive and specific.     

Mass spectrometric approaches for characterizing bacterial proteomes

The emergence of advanced liquid chromatography mass spectrometry technologies for characterizing very complex mixtures of proteins has greatly propelled the field of proteomics, the goal of which is the simultaneous examination of all the proteins expressed by an organism. This research area represents a paradigm shift in molecular biology by attempting to provide a top-down qualitative and quantitative view of all the proteins (including their modifications and interactions) that are essential for an organism's life cycle, rather than targeting a particular protein family. This level of global protein information about an organism such as a bacterium can be combined with genomic and metabolomic data to enable a systems biology approach for understanding how these organisms live and function.     

Mass spectrometric approaches for characterizing bacterial proteomes

The emergence of advanced liquid chromatography mass spectrometry technologies for characterizing very complex mixtures of proteins has greatly propelled the field of proteomics, the goal of which is the simultaneous examination of all the proteins expressed by an organism. This research area represents a paradigm shift in molecular biology by attempting to provide a top-down qualitative and quantitative view of all the proteins (including their modifications and interactions) that are essential for an organism’s life cycle, rather than targeting a particular protein family. This level of global protein information about an organism such as a bacterium can be combined with genomic and metabolomic data to enable a systems biology approach for understanding how these organisms live and function.     

Probing protein phosphatase substrate binding: affinity pull-down of ILKAP phosphatase 2C with phosphopeptides

Proteomics and high throughput analysis for systems biology can benefit significantly from solid-phase chemical tools for affinity pull-down of proteins from complex mixtures. Here we report the application of solid-phase synthesis of phosphopeptides for pull-down and analysis of the affinity profile of the integrin-linked kinase associated phosphatase (ILKAP), a member of the protein phosphatase 2C (PP2C) family. Phosphatases can potentially dephosphorylate these phosphopeptide substrates but, interestingly, performing the binding studies at 4 °C allowed efficient binding to phosphopeptides, without the need for phosphopeptide mimics or phosphatase inhibitors. As no proven ILKAP substrates were available, we selected phosphopeptide substrates among known PP2Cδ substrates including the protein kinases: p38, ATM, Chk1, Chk2 and RSK2 and synthesized directly on PEGA solid supports through a BAL type handle. The results show that phosphopeptides tethered to a flexible solid support bind with high affinity and specificity to ILKAP, which is pulled down from lysates of cells transfected with ILKAP cDNA. Phosphorylation on Ser or Thr residues is important for binding of ILKAP, but sequences around the phosphorylated residue are important for the binding affinity of ILKAP. We conclude that solid-phase affinity pull-down of proteins from complex mixtures can be applied in phosphoproteomics and systems biology.     

Detection of human proteins using arrayed imaging reflectometry

Assays built upon protein arrays are critical tools in determining the basic nature of biology, and have considerable promise in diagnosing human disease. These protein arrays aid in the elucidation of mapping pathway interactions, disease biomarker discovery, and regulatory processes. The solutions used in these experiments, including cellular lysate and serum, are inherently complex mixtures and are high in total protein content. Therefore, array-based assays must be robust and maintain a high level of selectivity and sensitivity. We report herein that arrayed imaging reflectometry (AIR), a label-free biosensing platform we have previously disclosed, is highly suitable for the detection of human proteins in complex solutions. In particular, we demonstrate array-based detection of cytokines in buffered solutions, and in undiluted human serum.     

Exploring the proteome of Plasmodium

With the entire genomic sequence of several species of Plasmodium soon to be available, researchers are now focusing on methods to study gene and protein expression at the whole organism level. Traditional methods of characterising and identifying large numbers of proteins from a complex protein mixture have relied predominantly on two-dimensional gel electrophoresis combined with N-terminal sequencing or mass spectrometry of individually prepared proteins. New proteomics methods are now available that are based on resolving small peptides derived from complex protein mixtures by high-resolution liquid chromatography and directly identifying them by tandem mass spectrometry (LC/LC/MS/MS) and sophisticated computer search algorithms against whole genome sequence databases. These newer proteomic methods have the potential to accelerate the reproducible identification of large numbers of proteins from various life cycle stages of Plasmodium and may help to better understand parasite biology and lead to the identification of new targets of vaccines and drugs.     

Integrating mass spectrometry of intact protein complexes into structural proteomics

MS analysis of intact protein complexes has emerged as an established technology for assessing the composition and connectivity within dynamic, heterogeneous multiprotein complexes at low concentrations and in the context of mixtures. As this technology continues to move forward, one of the main challenges is to integrate the information content of such intact protein complex measurements with other MS approaches in structural biology. Methods such as H/D exchange, oxidative foot-printing, chemical cross-linking, affinity purification, and ion mobility separation add complementary information that allows access to every level of protein structure and organization. Here, we survey the structural information that can be retrieved by such experiments, demonstrate the applicability of integrative MS approaches in structural proteomics, and look to the future to explore upcoming innovations in this rapidly advancing area.     

Recent advances in chemical proteomics: exploring the post-translational proteome

Identification and quantification of multiple proteins from complex mixtures is a central theme in post-genomic biology. Despite recent progress in high-throughput proteomics, proteomic analysis of post-translationally modified (PTM) proteins remains particularly challenging. This mini-review introduces the emerging field of chemical proteomics and reviews recent advances in chemical proteomic technology that are offering striking new insights into the functional biology of post-translational modification.     

Concentration-dependent effects on the rapid and efficient activation of the MAP kinase signaling cascade

Modern proteomic techniques are making it possible to identify and quantitate increasingly complex mixtures of cellular proteins. Translating the relative expression measurements collected in these experiments into an understanding of the associated physiological phenomena continues to be a challenge for the field of systems biology. We demonstrate how methods of mathematical and computational systems biology permit us to proffer explanations for the observed concentration ranges of signaling components found in the highly conserved mitogen-activated protein kinase (MAPK) cascade. The analysis demonstrates that alterations in the naturally occurring MAPK and MAPK kinase (MAPKK) concentrations would negatively affect the efficiency of short-term responses of the cascade. Thus, while there seems to be no a priori rationale for particular features of the involved kinases, the observed ranges of their characteristic parameters appear to be far from coincidental. This result is deduced from the first principles of mass action kinetics and holds for wide variations in MAPKK kinase (MAPKKK) concentrations, differential preference for unphosphorylated and monophosphorylated forms of kinase substrates, and for cases where the monophosphorylated MAPKK exhibits kinase activity. The results demonstrate how theoretical systems biology complements molecular biology by providing specific rationale for observed natural designs in a fashion hardly achievable with experimentation alone.     

High-throughput proteomics of breast carcinoma cells: a focus on FTICR-MS

Discovery of better biomarkers for diagnosis, prognosis and therapy-response prediction is the most critical task of a scientific quest aimed at developing novel, tailormade therapies for patients with cancer. Consequently, a proteome-wide analysis, in addition to genomic studies, is an absolute requirement for a complete functional understanding of tumor biology. Ultra-sensitive, high-performance Fourier-transform ion-cyclotron resonance (FTICR) mass spectrometry (MS) currently holds an important role in fulfilling the demands of biomarker discovery. In this review, we describe the applicability of FTICR-MS for breast cancer proteomics, particularly for the analysis of complex protein mixtures obtained from a limited number of cells typically available from clinical specimens.     

High-throughput proteomics of breast carcinoma cells: a focus on FTICR-MS

Discovery of better biomarkers for diagnosis, prognosis and therapy-response prediction is the most critical task of a scientific quest aimed at developing novel, tailormade therapies for patients with cancer. Consequently, a proteome-wide analysis, in addition to genomic studies, is an absolute requirement for a complete functional understanding of tumor biology. Ultra-sensitive, high-performance Fourier-transform ion-cyclotron resonance (FTICR) mass spectrometry (MS) currently holds an important role in fulfilling the demands of biomarker discovery. In this review, we describe the applicability of FTICR-MS for breast cancer proteomics, particularly for the analysis of complex protein mixtures obtained from a limited number of cells typically available from clinical specimens.     

A proteomic biosensor for enteropathogenic E. coli

The study of proteins and the molecules with which they interact on an organismwide scale is critical to understanding basic biology, and understanding and improving human health. New platform technologies allowing label-free, quantitative array-based analysis of proteins are particularly desirable. We have developed an analytical technology, reflective interferometry (RI), which provides specific, rapid, and label-free optical detection of biomolecules in complex mixtures. In order to evaluate the suitability of RI for proteomics, we have prepared a series of arrays bearing the extracellular domain of the secreted enteropathogenic Escherichia coli (EPEC) protein Translocated Intimin Receptor (Tir). These arrays are able to selectively detect the extracellular domain of the protein Intimin, Tir's natural binding partner. Furthermore, we demonstrate the use of RI and Tir-functionalized arrays for the selective detection of EPEC directly from culture.     

Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays

Carbohydrate post-translational modifications on proteins are important determinants of protein function in both normal and disease biology. We have developed a method to allow the efficient, multiplexed study of glycans on individual proteins from complex mixtures, using antibody microarray capture of multiple proteins followed by detection with lectins or glycan-binding antibodies. Chemical derivatization of the glycans on the spotted antibodies prevented lectin binding to those glycans. Multiple lectins could be used as detection probes, each targeting different glycan groups, to build up lectin binding profiles of captured proteins. By profiling both protein and glycan variation in multiple samples using parallel sandwich and glycan-detection assays, we found cancer-associated glycan alteration on the proteins MUC1 and CEA in the serum of pancreatic cancer patients. Antibody arrays for glycan detection are highly effective for profiling variation in specific glycans on multiple proteins and should be useful in diverse areas of glycobiology research.     

The ProtoChip™ immunoassay biochip

ProtoPharm makes use of the ProtoChip™, a high-density immunoassay system, to construct epitope “fingerprints” of complex protein mixtures. Unlike all other protein biochip methods, the ProtoChip does not require the immobilization of proteins or antibodies on a solid support nor does the ProtoChip require the purification of large numbers of proteins. The ProtoChip may be used to profile complex protein mixtures, identify panels of diagnostic immunoassays, identify vaccine candidates, and provide leads for antibody therapeutics.     

Template selection during manipulation of complex mixtures by PCR

PCR is ubiquitous in molecular biology. It is used to amplify single sequences from large genomes, or populations of sequences from complex mixtures such as cDNA libraries in mammalian cells. These cDNA libraries are often employed in subsequent labor-intensive experiments such as genetic screens, the outcome of which depends on library quality. The use of PCR to amplify diverse sequence populations raises important technical issues. One question is whether or not PCR is capable of maintaining population diversity, specifically with respect to template selection in the first rounds of the amplification process (i.e., the possibility that rare sequences in a complex mixture are lost because of amplification failure at the outset of the PCR). Here, we analyze the properties of PCR in the context of template selection in complex mixtures and show that it is an excellent method for preserving diversity.     

Multiplexed absolute quantification for proteomics using concatenated signature peptides encoded by QconCAT genes

An important area of proteomics involves the need for quantification, whether relative or absolute. Many methods now exist for relative quantification, but to support biomarker proteomics and systems biology, absolute quantification rather than relative quantification is required. Absolute quantification usually involves the concomitant mass spectrometric determination of signature proteotypic peptides and stable isotope-labeled analogs. However, the availability of standard labeled signature peptides in accurately known amounts is a limitation to the widespread adoption of this approach. We describe the design and synthesis of artificial QconCAT proteins that are concatamers of tryptic peptides for several proteins. This protocol details the methods for the design, expression, labeling, purification, characterization and use of the QconCATs in the absolute quantification of complex protein mixtures. The total time required to complete this protocol (from the receipt of the QconCAT expression plasmid to the absolute quantification of the set of proteins encoded by the QconCAT protein in an analyte sample) is approximately 29 d.