Clinical applications of two-dimensional electrophoresis

Identification of proteomic signatures of mantle cell lymphoma, small lymphocytic lymphoma, and marginal zone lymphoma biopsies by surface enhanced laser desorption/ionization-time of flight mass spectrometry

Mantle cell lymphoma (MCL), small lymphocytic lymphoma (SLL), and marginal zone lymphoma (MZL) are small B-cell non-Hodgkin lymphomas (NHLs) that may be difficult to distinguish. In order to identify specific proteomic biomarkers, differential proteomic analysis of these three NHLs was performed using surface enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF-MS). Whole cell lysates obtained from 18 MCL, 20 SLL, and 20 MZL biopsies were applied on two different ProteinChips (cationic and anionic). Hierarchical clustering and discriminating scores combined with an innovative bio-informatics microdissection strategy allowed us to distinguish specific lymphoma proteomic signatures based on the expression of 37 protein peaks. SELDI-assisted protein purification combined with nano-liquid chromatography (LC) quadrupole-time of flight tandem mass spectrometry (Q-TOF MS/MS) was used to identify proteins overexpressed in both MCL and SLL tumors. Among them two histones, H2B and H4, were identified in MCL tumor biopsies and the signal recognition particle 9 kDa protein, SRP9, in SLL tumor biopsies.

Use of SELDI-TOF mass spectrometry for identification of new biomarkers: potential and limitations

Surface-enhanced laser desorption time of flight mass spectrometry (SELDI-TOF-MS) is an important proteomic technology that is immediately available for the high throughput analysis of complex protein samples. Over the last few years, several studies have demonstrated that comparative protein profiling using SELDI-TOF-MS breaks new ground in diagnostic protein analysis particularly with regard to the identification of novel biomarkers. Importantly, researchers have acquired a better understanding also of the limitations of this technology and various pitfalls in biomarker discovery. Bearing these in mind, great emphasis must be placed on the development of rigorous standards and quality control procedures for the pre-analytical as well as the analytical phase and subsequent bioinformatics applied to analysis of the data. To avoid the risk of false-significant results studies must be designed carefully and control groups accurately selected. In addition, appropriate tools, already established for analysis of highly complex microarray data, need to be applied to protein profiling data. To validate the significance of any candidate biomarker derived from pilot studies in appropriately designed prospective multi-center studies is mandatory; reproducibility of the clinical results must be shown over time and in different diagnostic settings. SELDI-TOF-MS-based studies that are in compliance with these requirements are now required; only a few have been published so far. In the meantime, further evaluation and optimization of both technique and marker validation strategies are called for before MS-based proteomic algorithms can be translated into routine laboratory testing.

The use of proteomics for the assessment of clinical samples in research

Proteomics, the analysis of expressed proteins, has been an important developing area of research for the past two decades [Anderson, NG, Anderson, NL. Twenty years of two-dimensional electrophoresis: past, present and future. Electrophoresis 1996;17:443-453]. Advances in technology have led to a rapid increase in applications to a wide range of samples; from initial experiments using cell lines, more complex tissues and biological fluids are now being assessed to establish changes in protein expression. A primary aim of clinical proteomics is the identification of biomarkers for diagnosis and therapeutic intervention of disease, by comparing the proteomic profiles of control and disease, and differing physiological states. This expansion into clinical samples has not been without difficulties owing to the complexity and dynamic range in plasma and human tissues including tissue biopsies. The most widely used techniques for analysis of clinical samples are surface-enhanced laser desorption/ionisation mass spectrometry (SELDI-MS) and 2-dimensional gel electrophoresis (2-DE) coupled to matrix-assisted laser desorption ionisation [Person, MD, Monks, TJ, Lau, SS. An integrated approach to identifying chemically induced posttranslational modifications using comparative MALDI-MS and targeted HPLC-ESI-MS/MS. Chem. Res. Toxicol. 2003;16:598-608]-mass spectroscopy (MALDI-MS). This review aims to summarise the findings of studies that have used proteomic research methods to analyse samples from clinical studies and to assess the impact that proteomic techniques have had in assessing clinical samples.

Matching 2D gel electrophoresis images

Automatic alignment (matching) of two-dimensional gel electrophoresis images is of primary interest in the field of proteomics. The proposed method of 2D gel image matching is based on fuzzy alignment of features, extracted from gels' images, and it allows both global and local interpolation of image grid, followed by brightness interpolation. Method performance is tested on simulated images and gel images available via the Internet databases.

The human plasma proteome: history, character, and diagnostic prospects

The human plasma proteome holds the promise of a revolution in disease diagnosis and therapeutic monitoring provided that major challenges in proteomics and related disciplines can be addressed. Plasma is not only the primary clinical specimen but also represents the largest and deepest version of the human proteome present in any sample: in addition to the classical "plasma proteins," it contains all tissue proteins (as leakage markers) plus very numerous distinct immunoglobulin sequences, and it has an extraordinary dynamic range in that more than 10 orders of magnitude in concentration separate albumin and the rarest proteins now measured clinically. Although the restricted dynamic range of conventional proteomic technology (two-dimensional gels and mass spectrometry) has limited its contribution to the list of 289 proteins (tabulated here) that have been reported in plasma to date, very recent advances in multidimensional survey techniques promise at least double this number in the near future. Abundant scientific evidence, from proteomics and other disciplines, suggests that among these are proteins whose abundances and structures change in ways indicative of many, if not most, human diseases. Nevertheless, only a handful of proteins are currently used in routine clinical diagnosis, and the rate of introduction of new protein tests approved by the United States Food and Drug Administration (FDA) has paradoxically declined over the last decade to less than one new protein diagnostic marker per year. We speculate on the reasons behind this large discrepancy between the expectations arising from proteomics and the realities of clinical diagnostics and suggest approaches by which protein-disease associations may be more effectively translated into diagnostic tools in the future.

Early detection of pancreatic carcinoma

The poor prognosis and late presentation of pancreatic cancer patients emphasize the importance of an effective early detection strategy for patients at risk of developing pancreatic cancer. In current practice, the use of CA 19-9 levels and imaging techniques is not optimal for detecting small pancreatic lesions. It is hoped that the understanding of genetic alterations in combination with the development of high-throughput sensitive techniques will lead to the rapid discovery of a panel of biomarkers that will save lives by enabling aggressive therapy at the time when tumors are curable.

Reference map of the low molecular mass proteins of Haemophilus influenzae

Analysis of the proteome of Haemophilus influenzae by two-dimensional polyacrylamide gel electrophoresis on conventional Tris-glycine gels does not usually result in efficient separation of the proteins in the 5-20 kDa range, which are mainly accumulated in the lower acidic and basic regions. In order to improve the separation of the low molecular mass proteins, we used homogeneous Tricine gels of two urea concentrations in the second-dimensional separation. The Tricine gel systems allowed the efficient and reproducible separation of the proteins of the microorganism with masses between 5 and 20 kDa, however, no proteins with masses below 5 kDa could be visualized. Approximately 80 proteins migrating in the 5-25 kDa region were identified by matrix assisted laser desorption/ionization - mass spectrometry, of which 40 identified for the first time. The digestion of the low mass proteins often produced only few peptides, which were insufficient for confident identification by mass spectrometry. Therefore, the identification was occasionally achieved by a sequential digestion with two proteases, trypsin or endoproteinase Lys-C as first and carboxypeptidase P as second enzyme. The gel system described may be useful for the efficient separation of low molecular mass proteins from other organisms to construct standard maps.

Enrichment and purification of proteins of Haemophilus influenzae by chromatofocusing

Haemophilus influenzae is a bacterium of pharmaceutical interest of which the entire genome has been sequenced. Identification of low-abundance proteins in a two-dimensional map is important for the detection of new drug targets. We applied chromatography on Polybuffer Exchanger (chromatofocusing) in order to fractionate and enrich H. influenzae proteins, possibly low-copy-number gene products, from larger volumes. Two proteins, major ferric iron-binding protein (HI0097) and 5'-nucleotidase (HI0206) were obtained in pure form and hypothetical protein HI0052 was purified to near homogeneity by this single purification step. Four other proteins, aspartate ammonia lyase (HI0534), peptidase D (HI0675), elongation factor Ts (HI0914) and 5-methyltetrahydropteroyltriglutamate methyltransferase (HI1702), were strongly enriched so that chromatography on Polybuffer Exchanger can be used as an initial step for their isolation. Approximately 125 proteins were identified in the fractions collected from the column. Seventy of these were for the first time identified after chromatography on Polybuffer Exchanger. The proteins enriched by the chromatofocusing step include both low-abundance as well as high-copy-number gene products. They do not belong to a single protein class and the majority of them are enzymes with various functions. The results include a list and a two-dimensional map of the proteins enriched by chromatofocusing. They may be useful in the search of drug targets and in the design of purification protocols for the isolation of homologous proteins from related microorganisms.

Effect of protein application mode and acrylamide concentration on the resolution of protein spots separated by two-dimensional gel electrophoresis

Two-dimensional gel electrophoresis separates large numbers of proteins in two steps on the basis of differences in their pIs and molecular masses. The separation is usually performed on immobilized pH gradient strips, followed by gradient polyacrylamide gels separating proteins with molecular masses between 5-200 kDa. For the first-dimensional separation the protein samples are usually applied near one end of the strip. Using total soluble protein extracts of the bacterium Haemophilus influenzae, we found that simultaneous sample application at both the basic and the acidic ends of the strip resulted in detection of more and stronger protein spots in comparison with sample application at one end only. Because many proteins of an organism have similar pI and Mr values, an overlapping of protein spots is frequently observed in the second-dimensional separation. The soluble protein fraction of H. influenzae was further separated on gels of constant acrylamide concentration between 7.5% and 15.0%. We found that for proteins of molecular mass within certain ranges, the gels of homogeneous acrylamide concentration provided more efficient spot separation than the gradient gels. The observed improvements in spot resolution may be useful in the characterization of proteins from other organisms or cell lines.

Overexpression of calcium-binding protein calgranulin B in colonic mucosal diseases

Subtractive two-dimensional gel electrophoresis (2-DE) has been used for the study of the protein patterns of the normal colonic mucosa and the specimens collected from patients diagnosed for inflammatory bowel disease (IBD), colonic polyps and colorectal cancer. We found a 13 kDa protein that was detected in five of seven adenomas and in 13 of 15 colorectal carcinomas while it was absent or only slightly expressed in normal colonic mucosa. Furthermore, this protein occurred in all specimens collected from patients suffering from IBD and its quantity reflected the increased severity of inflammation. The combination of microsequencing and mass spectrometry led to the identification of the 13 kDa spot as calgranulin B. Our results indicate that the production of calgranulin B is unregulated in inflammatory, preneoplastic and neoplastic lesions of colonic mucosa.

Two-dimensional separations: capillary electrophoresis coupled to channel gel electrophoresis

Two-dimensional separations provide extremely high peak capacities. Coupling capillary zone electrophoresis with ultrathin channel gel electrophoresis offers a convenient and efficient way to perform such two-dimensional microseparations. By means of in situ polymerization, high-concentration (up to 50%T) polyacrylamide gels are prepared in 75 mm long, 25 mm wide, and 40 microns thick rectangular channels. By moving the outlet end of the capillary electrophoresis capillary across the entrance of the channel, both separations are completely preserved. Mixtures of peptides labeled by fluorescein isothiocyanate (FITC) are well resolved in less than 15 min, with theoretical plate numbers in the range of 20,000-50,000 for each independent separation. Significant enhancement in separation efficiency and peak capacity over one-dimensional separations are demonstrated by this combination. The two-dimensional separations of a model mixture of peptides, a tryptic digest of trypsinogen, and < 0.05% of an individual B2 neuron from the marine mollusk Aplysia californica are presented.