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Cytomics - importance of multimodal analysis of cell function and proliferation in oncology.

Cancer is a highly complex and heterogeneous disease involving a succession of genetic changes (frequently caused or accompanied by exogenous trauma), and resulting in a molecular phenotype that in turn results in a malignant specification. The development of malignancy has been described as a multistep process involving self-sufficiency in growth signals, insensitivity to antigrowth signals, evasion of apoptosis, limitless replicative potential, sustained angiogenesis, and finally tissue invasion and metastasis. The quantitative analysis of networking molecules within the cells might be applied to understand native-state tissue signalling biology, complex drug actions and dysfunctional signalling in transformed cells, that is, in cancer cells. High-content and high-throughput single-cell analysis can lead to systems biology and cytomics. The application of cytomics in cancer research and diagnostics is very broad, ranging from the better understanding of the tumour cell biology to the identification of residual tumour cells after treatment, to drug discovery. The ultimate goal is to pinpoint in detail these processes on the molecular, cellular and tissue level. A comprehensive knowledge of these will require tissue analysis, which is multiplex and functional; thus, vast amounts of data are being collected from current genomic and proteomic platforms for integration and interpretation as well as for new varieties of updated cytomics technology. This overview will briefly highlight the most important aspects of this continuously developing field.

Cell Division↗

Automated acquisition of aptamer sequences.

While the in vitro selection of nucleic acid binding species (aptamers) requires numerous liquid-handling steps, these steps are relatively straightforward and the overall process is therefore amenable to automation. Here we demonstrate that automated selection techniques are capable of generating aptamers against a number of diverse protein targets. Automated selection techniques can be integrated with automated analytical methods, including sequencing, determination of binding constants, and structural analysis. The methods that have so far been developed can be further multiplexed, and it should soon be possible to attempt the selection of aptamers against organismal proteomes or metabolomes.

Automation↗

Extracellular vesicle proteomic expression is influenced by mining tenure in former uranium miners.

BACKGROUND: Chronic exposure to uranium (U) rich environments poses significant health risks, yet the molecular mechanisms underlying these effects remain poorly understood. Extracellular vesicles (EVs) are membrane-bound vesicles that transfer multiple biomolecules between cells and can regulate cellular function. OBJECTIVE: To determine whether U-mining tenure is associated with specific alterations in serum-derived EV proteomic and plasma cytokine profiles among former U-miners, and to assess the potential of EV-derived proteins as robust biomarkers of chronic U-exposure relative to canonical cytokines. METHODS: Serum and plasma samples were obtained from 39 former U-miners. Small and large EVs were isolated via differential ultracentrifugation and characterized by nanoparticle tracking and western blotting. EV proteomic profiles were analyzed using liquid chromatography-tandem mass spectrometry. Plasma cytokines were quantified using multiplex immunoassays. Age-adjusted linear regression was used to assess associations with mining tenure, and pathway enrichment analysis was performed on significant EV proteins. RESULTS: Eight small-EV and four large-EV proteins significantly correlated with mining tenure after age adjustment. Notably, Complement C1r subcomponent and Vitamin K-dependent protein S, and Fibrinogen alpha chain exhibited strong inverse correlations. Enrichment analyses highlighted immune-related and extracellular matrix pathways. Six cytokines were initially associated with mining tenure but lost significance after age adjustment. In contrast, EV protein associations appeared more robust for this confounding, underscoring their potential as exposure biomarkers. CONCLUSIONS: Serum EV-derived protein signatures were nominally associated with U-mining tenure independent of age, whereas cytokine profiles were confounded by age. These findings suggest that EV-derived proteins may provide sensitive biomarkers for monitoring long-term health effects of U-exposure, which warrants further investigation in larger cohorts.

Humans↗

Proteomics and the kidney.

Proteomics can be defined as "the systematic analysis of proteins for their identity, quantity, and function." The central concept is "multiplexing," i.e., simultaneous analysis of all proteins in a defined protein population, rather than investigation of one protein at a time, as in traditional biochemistry. Two major approaches have been described: (1) mass spectrometry-based approaches and (2) protein micro-array approaches. The purpose of this Science Watch article is to describe the fundamental features of these two approaches and to speculate on how proteomics will be useful in nephrology and nephrology research in the coming years.

Electrophoresis, Gel, Two-Dimensional↗

Flow-cytometric isolation of human antibodies from a nonimmune Saccharomyces cerevisiae surface display library.

A nonimmune library of 10(9) human antibody scFv fragments has been cloned and expressed on the surface of yeast, and nanomolar-affinity scFvs routinely obtained by magnetic bead screening and flow-cytometric sorting. The yeast library can be amplified 10(10)-fold without measurable loss of clonal diversity, allowing its effectively indefinite expansion. The expression, stability, and antigen-binding properties of >50 isolated scFv clones were assessed directly on the yeast cell surface by immunofluorescent labeling and flow cytometry, obviating separate subcloning, expression, and purification steps and thereby expediting the isolation of novel affinity reagents. The ability to use multiplex library screening demonstrates the usefulness of this approach for high-throughput antibody isolation for proteomics applications.

Cells, Cultured↗

A systems approach to model metastatic progression.

Proteomic profiling of human disease has seen much early activity with the accessibility of the newest generation of high-throughput platforms and technologies. Nevertheless, the nature of the dynamic physiologic milieu and high dimensionality of the data has complicated major diagnostic and prognostic breakthroughs. Our recent article in Cancer Cell delineates an integrative model for culling a molecular signature of metastatic progression in prostate cancer from proteomic and transcriptomic analyses and shows its facility as a predictor of prognosis. The study leveraged direct proteomic analysis of tumor tissue extracts, differential feature selection characterizing the proteomic alterations of prostate cancer subclasses, and integration with public and study-derived genomic data to construct a multiplex gene signature representing progression of indolent cancer to aggressive disease. This further predicted clinical outcome in a variety of solid tumors. This review describes the context of the work, the framework for the analysis itself, and a look forward to the promise of this systems approach to human disease.

Computational Biology↗

Enhanced characterization of complex proteomic samples using LC-MALDI MS/MS: exclusion of redundant peptides from MS/MS analysis in replicate runs.

Due to the complexity of proteome samples, only a portion of peptides and thus proteins can be identified in a single LC-MS/MS analysis in current shotgun proteomics methodologies. It has been shown that replicate runs can be used to improve the comprehensiveness of the proteome analysis; however, high-intensity peptides tend to be analyzed repeatedly in different runs, thus reducing the chance of identifying low-intensity peptides. In contrast to commonly used online ESI-MS, offline MALDI decouples the separation from MS acquisition, thus allowing in-depth selection for specific precursor ions. Accordingly, we extended a strategy for offline LC-MALDI MS/MS analysis using a precursor ion exclusion list consisting of all identified peptides in preceding runs. The exclusion list eliminated redundant MS/MS acquisitions in subsequent runs, thus reducing MALDI sample depletion and allowing identification of a larger number of peptide identifications in the cumulative dataset. In the analysis of the digest of an Escherichia coli lysate, the exclusion list strategy resulted in a 25% increase in the number of unique peptide identifications in the second run, in contrast to simply pooling MS/MS data from two replicate runs. To reduce the increased LC analysis time for repeat runs, a four-column multiplexed LC system was developed to carry out separation simultaneously. The multiplexed LC-MALDI MS provides a high-throughput platform to utilize the exclusion list strategy in proteome analysis.

Amino Acid Sequence↗

Integrated and ultrasensitive gel protein identification.

An integrated gel protein identification technology is developed and demonstrated for the effective ( approximately 90% recovery), rapid (less than 5 min), and sensitive identification (as low as 1 ng gel protein loading) of gel-resolved proteins using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). This integrated technology involves on-line combination of electronic protein transfer with nanoscale proteolytic digestion in a capillary platform, enabling electrokinetic-based protein extraction and stacking, real-time proteolytic cleavage of extracted proteins, and direct deposition of protein digests onto MALDI targets. By revisiting the yeast two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) in similar isoelectric point and molecular mass ranges as studied by Gygi and co-workers (Gygi, S. P.; Corthals, G. L.; Zhang, Y.; Rochon, Y.; Aebersold, R. Proc. Natl. Acad. Sci. U.S.A. 2000, 97, 9390-9395), we are additionally able to identify a large number of low abundance proteins with codon adaptation index (CAI) values of <0.2 and increase the proteome coverage to nearly 50%. The CAI value distribution for identified yeast proteins now more closely approximates that predicted for the entire yeast proteome. We further note that the current single-capillary methodology can be easily expanded to a multiplexed capillary platform as a ultrahigh throughput and greatly effective tool for linking 2-D PAGE with MS, particularly for the analysis of low-abundance proteins.

Electrophoresis, Gel, Two-Dimensional↗

Identification of Peptide tumor markers in a tumor graft model in immunodeficient mice.

The medical demand for useful biomarkers is large and still increasing. This is especially true for cancer, because for this disease adequate diagnostic markers with high specificity and sensitivity are still lacking. Despite advances in imaging technologies for early detection of cancer, peptidomic multiplex techniques evolved in recent years will provide new opportunities for detection of low molecular weight (LMW) proteome biomarker (peptides) by mass spectrometry. Improvements in peptidomics research were made based on separation of peptides and/or proteins by their physico-chemical properties in combination with mass spectrometric detection, respectively identification, and sophisticated bioinformatic tools for data analysis. To evaluate the potential of serological tumor marker detection by differential peptide display (DPD) we analyzed plasma samples from a tumor graft model. After subcutaneous injection of HCT-116 cells in immunodeficient mice and their growth to a palpable tumor, plasma samples were analyzed by DPD. The comparison of obtained mass spectrometric data allows discovery of tumor specific peptides which fit well into the biological context of cancer pathogenesis and show a strong correlation to tumor growth. The identified peptides indicate events associated with hyper-proliferation and dedifferentiation of cells from an epithelial origin, which are typical characteristics of human carcinomas. We conclude that these findings are a "proof of principle" to detect differentially expressed, tumor-related peptides in plasma of tumor-bearing mice.

Animals↗

Multiplexed mass spectrometric immunoassay in biomarker research: a novel approach to the determination of a myocardial infarct.

Reported here is the development of a multiplexed mass spectrometric immunoassay (MSIA) for the detection of myocardial infarction (MI). The assay is the product of a study that systematically progresses from biomarker discovery--to identification and verification--to assay design, data analysis, and statistical challenge. During targeted population proteomics investigations, two novel biomarkers, serum amyloid A1alpha and S-sulfated transthyretin, were found to be responsive to MI. These putative markers were subsequently screened in larger cohorts of individuals to verify their responsiveness toward MI. Upon verification, a multiplexed assay was designed that was capable of simultaneously monitoring the new markers plus a previously established MI-marker (myoglobin). The multiplexed MSIA was applied to two 96-sample sets comprised of 48-MI/48-healthy and 19-MI/77-healthy, which served as training and case cohorts, respectively. Data evaluation using either preset reference levels or multivariate analysis exhibited sensitivities and specificities of >97%. These findings illustrate the importance of using systematic approaches in clinical proteomics to discover biomarkers and produce high-performance assays relevant to disease.

Biomarkers↗

Proteomics approaches to identify tumor antigen directed autoantibodies as cancer biomarkers.

The identification of autoantibodies to tumor cell proteins by proteomics approaches has great potential impact on cancer biomarker discovery. The humoral immune response represents a form of biological amplification of signals that are otherwise weak due to very low concentrations of antigen, especially in the early stages of cancers. In addition, proteomics can detect immunoreactivity directed against protein post-translational modifications. Two-dimensional gel based Western blots, protein antigen microarrays, and multiplex ELISA reactions have been applied by our group to antigen based biomarker detection and validation. The latter two are based on liquid-phase separations that are suitable for automation. This work has resulted in the identification of numerous cancer biomarker candidates. Large clinical studies are currently planned to establish their value in early cancer diagnosis.

Antibodies, Neoplasm↗

Quantitative interactome mapping of skeletal muscle insulin resistance.

Protein-protein interactions (PPIs) are dynamic and critical to adaptive homeostasis. While there have been massive efforts to catalogue proteome-wide PPIs, global quantification of changes remains a challenge. Here, we integrate dynamic protein correlation profiling - mass spectrometry (PCP-MS) and quantitative cross linking-mass spectrometry (qXL-MS) using multiplexed stable isotope labelling to characterise global PPI remodelling following the development of chronic skeletal muscle insulin resistance (IR) with or without acute insulin stimulation. We quantify >7,000 unique PPIs amongst 5,346 proteins and show changes in the interactome network dominate the proteome response. Our data show the dysregulation of protein processing in the endoplasmic/sarcoplasmic reticulum involving changes in PPIs with protein chaperones and disulfide isomerases is a major hallmark of skeletal muscle IR. Mechanistically, we show the dysregulation of PPIs with Protein-Disulfide Isomerase 6 (PDIA6) regulates cysteine oxidation and insulin sensitivity. Taken together, we show in vivo quantitative interactome mapping is a powerful approach to understand disease mechanisms and provide new insights into protein network re-organisations with IR.

Insulin Resistance↗

Expression and purification of recombinant proteins from Escherichia coli: Comparison of an elastin-like polypeptide fusion with an oligohistidine fusion.

Thermally responsive elastin like polypeptides (ELPs) can be used to purify proteins from Escherichia coli culture when proteins are expressed as a fusion with an ELP. Nonchromatographic purification of ELP fusion proteins, termed inverse transition cycling (ITC), exploits the reversible soluble-insoluble phase transition behavior imparted by the ELP tag. Here, we quantitatively compare the expression and purification of ELP and oligohistidine fusions of chloramphenicol acetyltransferase (CAT), blue fluorescent protein (BFP), thioredoxin (Trx), and calmodulin (CalM) from both a 4-h culture with chemical induction of the plasmid-borne fusion protein gene and a 24-h culture without chemical induction. The total protein content and functional activity were quantified at each ITC purification step. For CAT, BFP, and Trx, the 24-h noninduction culture of ELP fusion proteins results in a sevenfold increase in the yield of each fusion protein compared to that obtained by the 4-h-induced culture, and the calculated target protein yield is similar to that of their equivalent oligohistidine fusion. For these proteins, ITC purification of fusion proteins also results in approximately 75% recovery of active fusion protein, similar to affinity chromatography. Compared to chromatographic purification, however, ITC is inexpensive, requires no specialized equipment or reagents, and because ITC is a batch purification process, it is easily scaled up to accommodate larger culture volumes or scaled down and multiplexed for high-throughput, microscale purification; thus, potentially impacting both high-throughput protein expression and purification for proteomics and large scale, cost-effective industrial bioprocessing of pharmaceutically relevant proteins.

Elastin↗

Kv11.1 (hERG) Protein Interaction Networks Connect Endocytic Trafficking to Polygenic Influences on Cardiac Repolarization.

Polygenic scores (PGS) capture the combined effect of many common genetic variants on quantitative traits and disease risk, yet their functional consequences at the protein level remain poorly defined. Here, we integrated quantitative and interaction proteomics to resolve how polygenic liability for cardiac repolarization manifests in human cells. We studied human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) from donors with extreme PGS for QT interval duration, a clinically relevant electrophysiologic trait associated with arrhythmia risk. Global quantitative proteomics revealed increased abundance of mitochondrial proteins in high-PGS cardiomyocytes. To define protein network-level effects on a key repolarizing ion channel, we performed multiplexed affinity purification-mass spectrometry (AP-MS) of Kv11.1. While mitochondrial changes did not directly explain Kv11.1-associated complexes, interactome analysis revealed increased association of Kv11.1 with myosin motor proteins and endosomal recycling machinery in high-PGS cells. These findings suggest altered channel trafficking dynamics of Kv11.1, distinct from the trafficking defects observed in monogenic Kv11.1 variants. Together, these data show that integrating global and interaction proteomics can resolve how polygenic variation reshapes protein networks. Future work using these methods could connect genomic risk to subcellular remodeling and our work provides a generalizable framework to probe the proteomic basis of complex traits. SIGNIFICANCE STATEMENT: Polygenic scores (PGS) predict disease risk, but how biological pathways are influenced by these common variants remains difficult to define. We generated human induced pluripotent stem cells from individuals with extreme high- and low- PGS for QT interval, a key electrocardiographic measure linked to arrhythmia risk. By combining global proteomics and interactomics for a common ion channel involved in regulating the QT interval (Kv11.1) we found potential mechanisms that are influenced by common genetic traits in patients. Our work provides an approach to connect polygenic scores to pathway-level molecular mechanisms in human cells and a general framework for uncovering how complex genetic architecture drives disease-relevant biology.

AP-MS↗

Integration of solid-phase extraction membranes for sample multiplexing: application to rapid protein identification from gel-isolated protein extracts.

The present report describes the design and application of a dual sprayer system for high-throughput proteome analysis. This system comprises parallel solid-phase extraction cartridges used for preconcentration and desalting of proteolytic digests prior to nanoelectrospray mass spectrometry analyses. Tryptic peptides from in-gel digest of protein bands/spots are first adsorbed on styrene divinyl benzene membrane and subsequently eluted with a short plug of organic buffer prior to infusion to the mass spectrometer at a flow rate of typically 500 nL/min. Tryptic peptide eluting from the membrane are analyzed by the mass spectrometer by moving in turn each sprayer in front of the sampling orifice. Sequential injection, preconcentration and analyses of tryptic digests are typically achieved with a throughput of up to 3.5 min/sample and a detection limit of approximately 8-80 fmol per injection. Replicate injections of peptide mixtures indicated that reproducibility of peak areas ranged from relative standard deviations (RSD) of 1.1% to 4.5%. The application of this device is demonstrated for digests of gel-isolated proteins obtained from sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) separation of rat liver plasma membrane and from two-dimensional gel electrophoresis of total cell lysate extracts from human prostatic cancer cell.

Angiotensin I↗

Performance validation of an improved Xenon-arc lamp-based CCD camera system for multispectral imaging in proteomics.

Advances in gel-based nonradioactive protein expression and PTM detection using fluorophores has served as the impetus for developing analytical instrumentation with improved imaging capabilities. We describe a CCD camera-based imaging instrument, equipped with both a high-pressure Xenon arc lamp and a UV transilluminator, which provides broad-band wavelength coverage (380-700 nm and UV). With six-position filter wheels, both excitation and emission wavelengths may be selected, providing optimal measurement and quantitation of virtually any dye and allowing excellent spectral resolution among different fluorophores. While spatial resolution of conventional fixed CCD camera imaging systems is typically inferior to laser scanners, this problem is circumvented with the new instrument by mechanically scanning the CCD camera over the sample and collecting multiple images that are subsequently automatically reconstructed into a complete high-resolution image. By acquiring images in succession, as many as four different fluorophores may be evaluated from a gel. The imaging platform is suitable for analysis of the wide range of dyes and tags commonly encountered in proteomics investigations. The instrument is unique in its capabilities of scanning large areas at high resolution and providing accurate selectable illumination over the UV/visible spectral range, thus maximizing the efficiency of dye multiplexing protocols.

Arabidopsis Proteins↗

Layered expression scanning: multiplex molecular analysis of diverse life science platforms.

With the advent of the genomic era, there is an increasing use of high-throughput techniques to generate transcriptome- and proteome-based profiles of biological specimens. Each of these methodologies offers a unique window into the inner workings of cell and tissue samples. Often, these studies generate large data sets and provide investigators with a substantial number of candidate dysregulated genes and pathways. Follow-up studies are then undertaken to independently validate the original findings and to extend the study to additional samples or more quantitative measurements. Although there are several methods available for these validation efforts, they are often tedious and laborious to perform; thus, additional tools that enable this task are needed. One such approach is layered expression scanning (LES), a new technique developed via a cooperative research and development agreement (CRADA) between the National Cancer Institute and 20/20 GeneSystems, Inc. The technique is based on the movement of biomolecules from a two-dimensional life science platform (histological tissue section, electrophoresis gel, multi-well plate, etc.) through a set of analysis membranes while maintaining the original distribution pattern of the molecules. Each membrane measures one analyte and the data are then mapped back to the original specimen, permitting each component of the life science platform to be studied in detail. LES can be configured in several different ways depending on the goals of the study. In this review, we summarize the use of the LES technique for a variety of biological applications.

Membranes, Artificial↗

Progress in capillary electrophoresis coupled to matrix-assisted laser desorption/ionization - time of flight mass spectrometry.

In this review the most important techniques developed to hyphenate CE to MALDI-TOF-MS are summarized. The principles of the different interfaces and ways to solve the hyphenation problem are explained and discussed in detail. The most important applications especially in the proteomic field are reviewed, and the advantages of CE-MALDI-TOF-MS for the analysis of these compounds compared to other techniques such as ESI-MS are exhaustingly discussed from a critical point of view. CE coupled to MALDI-TOF-MS has started to overpass traditionally used CE-coupling techniques, especially CE-ESI-MS, offering the possibility to analyze samples of interest even weeks after CE analysis and using multiplexing systems for high-sample throughput.

Electrophoresis, Capillary↗