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Analysis of protein profiles of the members of Azotobacteraceae suggests that the genus Azotobacter consists of a heterogeneous group of bacteria, of which Azotobacter beijerinekii should possibly be separated to a new genus. Azomonas agilis and Azomonas macrocytogenes are only 26 percent related to each other.
Providing a rapid and sensitive protein profiling method for biomarker discovery from a variety of biological samples is crucial for the introduction of new markers that improve cancer patient diagnosis at early tumor stages, thus increasing the chances of curative treatment. We report here the development and application of derivatized cellulose particles for selective serum protein profiling. For immobilized metal ion affinity chromatography (IMAC), cellulose was derivatized with glycidyl methacrylate (GMA) and subsequently with iminodiacetic acid (IDA). To investigate the application of this material for generating protein profiles of human serum samples, the serum samples were agitated with the derivatized cellulose particles to a suspension and incubated for 2 h at 30 degrees C. After washing, 1 microL of the IDA-Cu(2+)-cellulose suspension was applied directly onto a MALDI-target, mixed with sinapinic acid (SA) and analyzed with MALDI-TOF MS. Consistent serum specific data were obtained from aliquoted samples analyzed several times, indicating the reliability of the method. However, the serum fingerprints obtained proved to be specific for any given serum. The technique presented allows a high enrichment of sample on the developed target leading to a high sensitivity and reproducibility without depletion of albumin and immunoglobulin, and sample elution prior to MS-analysis. The study demonstrates for the first time that derivatized cellulose particles combined with MALDI-TOF MS represent a simple, economical, and rapid approach to generate serum protein profiles for biomarker identification.
BACKGROUND: Serum protein profiling patterns can reflect the pathological state of a patient and therefore may be useful for clinical diagnostics. Here, we present results from a pilot study of proteomic expression patterns in hemodialysis patients designed to evaluate the range of serum proteomic alterations in this population. METHODS: Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) was used to analyze serum obtained from patients on periodic hemodialysis treatment and healthy controls. Serum samples from patients and controls were first fractionated into six eluants on a strong anion exchange column, followed by application to four array chemistries representing cation exchange, anion exchange, metal affinity and hydrophobic surfaces. A total of 144 SELDI-TOF-MS spectra were obtained from each serum sample. RESULTS: The overall profiles of the patient and control samples were consistent and reproducible. However, 30 well-defined protein differences were observed; 15 proteins were elevated and 15 were decreased in patients compared to controls. Serum from 1 patient exhibited novel protein peaks suggesting possible additional changes due to a secondary disease process. CONCLUSION: SELDI-TOF-MS demonstrated consistent serum protein profile differences between patients and controls. Similarity in protein profiles among dialysis patients suggests that patient physiological responses to end-stage renal disease and/or dialysis therapy have a major effect on serum protein profiles.
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.
Plasma protein profiling using separations coupled to matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) has great potential in translational research; it can be used for biomarker discovery and contribute to disease diagnosis and therapy. Previously reported biomarker searches have been done solely by MS protein profiling followed by bioinformatics analysis of the data. To add to current methods, we tested an alternative strategy for plasma protein profiling using pancreatic cancer as the model. First, offline solid-phase extraction is done with 96-well plates to fractionate and partially purify the proteins. Then, multiple profiling and identification experiments can be conducted on the same protein fractions because only 5% of the fractions are used for MALDI MS profiling. After MALDI MS analysis, the mass spectra are normalized and subjected to a peak detection algorithm. Over three sets of mass spectra acquired using different instrument variables, approximately 400 unique ion signals were detected. Classification schemes employing as many as eight individual peaks were developed using a training set with 123 members (82 cancer patients) and a blinded validation set with 125 members (57 cancer patients). The sensitivity of the study was 88%, but the specificity was significantly lower, 75%. The reason for the low specificity becomes apparent upon protein identification of the ion signals used for the classification. The identifications reveal only common serum proteins and components of the acute phase response, including serum amyloid A, alpha-1-antitrypsin, alpha-1-antichymotrypsin, and inter-alpha-trypsin inhibitor.
In the past decade, shotgun proteomic analysis has been utilized extensively to answer complex biological questions. New challenges arise in large scale proteomic profiling when dealing with complex biological mixtures such as the mammalian cell lysate. In this study, we explored the approach of protein separation prior to the shotgun multidimensional protein identification technology (MudPIT) analysis. We fractionated the mammalian cancer cell lysate using the PF 2D ProteomeLab system and analyzed the distribution of molecular weight, isoelectric point, and cellular localization of the eluted proteins. As a result, we were able to reduce sample complexity by protein fractionation and increase the possibility of detecting proteins with lower abundance in the complex protein mixture.
Surface-enhanced laser desorption/ionization (SELDI) time-of-flight mass spectrometry with protein arrays has facilitated the discovery of disease-specific protein profiles in serum. Such results raise hopes that protein profiles may become a powerful diagnostic tool. To this end, reliable and reproducible protein profiles need to be generated from many samples, accurate mass peak heights are necessary, and the experimental variation of the profiles must be known. We adapted the entire processing of protein arrays to a robotics system, thus improving the intra-assay coefficients of variation (CVs) from 45.1% to 27.8% (p<0.001). In addition, we assessed up to 16 technical replicates, and demonstrated that analysis of 2-4 replicates significantly increases the reliability of the protein profiles. A recent report on limited long-term reproducibility seemed to concord with our initial inter-assay CVs, which varied widely and reached up to 56.7%. However, we discovered that the inter-assay CV is strongly dependent on the drying time before application of the matrix molecule. Therefore, we devised a standardized drying process and demonstrated that our optimized SELDI procedure generates reliable and long-term reproducible protein profiles with CVs ranging from 25.7% to 32.6%, depending on the signal-to-noise ratio threshold used.
Apart from the FcepsilonRI-mediated mechanism, mast cells are activated by chemokines. Evidence has accumulated indicating that there is cross-talk between the FcepsilonRI-mediated signalling pathway and CC chemokine receptor (CCR)-mediated signalling pathways in mast cells. We have found that costimulation with IgE/antigen and CC chemokine ligand 3 (CCL3) enhances degranulation but inhibits chemotaxis of rat basophilic leukaemia (RBL)-2H3 cells expressing human CCR1 (RBL-CCR1 cells). We hypothesize that this signalling cross-talk in mast cells may play important roles in the orchestration and focusing of the allergic response. In this study, we have sought information about global protein networks either enhanced or inhibited following cross-talk between the FcepsilonRI-mediated and CCR-mediated signalling pathways in mast cells. We believe this information may be useful for providing an understanding of mast cell function and in the establishment of new anti-inflammatory drugs for allergic diseases. Proteomics is a promising tool for studying protein profiles within biological samples and facilitates an understanding of the complex responses of an organism to a stimulus. Here, we show comparative data of protein profiles derived from FcepsilonRI-engaged and/or CCR1-engaged RBL-CCR1 cells using protein chip array technology, a proteomic technology. We also discuss our view of the role of CC chemokines and CCRs in regulating multiple aspects of mast cell biology.
Amplified fragment-length polymorphism analysis (AFLP) has been shown to be a suitable method for subtyping of bacteria belonging to the genus Campylobacter. Campylobacter lari is a phenotypically and genotypically diverse species that comprises the classical nalidixic acid-resistant thermophilic campylobacters and the biochemical C. lari variants, urease-positive, nalidixic acid-susceptible, and urease producing nalidixic acid-susceptible strains. AFLP profiling and whole-cell protein profile analysis are suitable methods for studying the taxonomic and epidemiological relationships among strains of the C. lari variants. Numerical analysis of AFLP profiles and of partial protein profiles allows the discrimination of distinct C. lari genogroups. No correlation of these genogroups with different sources of the strains has been identified until now.
Outer-membrane proteins from isolates of Haemophilus influenzae type b were examined by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Sarcosinate-insoluble membrane preparations contained one peptide with a molecular weight of 16,000 and four major peptides with molecular weights of 25,000-40,000. A peptide with a molecular weight of 49,000 (50,000 in some strains) was observed after the samples were heated at 100 C. Fifty-one isolates obtained from patients hospitalized with invasive diseases, primarily meningitis, could be subclassified into nine categories based on reproducible and clearly resolvable differences in the outer-membrane protein profiles. Five categories accounted for 92% of the isolates. Complete concordance was observed in subtypes of strains obtained from epidemiologically related cases and contacts. Thus, comparison of the major outer-membrane proteins of H. influenzae type b is a useful technique for investigating the transmission of the organism and may provide a basis for further immunologic characterization of the outer-membrane proteins.
Serum protein profiling by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) appears to be an important diagnostic tool for a whole range of diseases. Sensitivities and specificities obtained with this new technology often seem superior to those obtained with current biomarkers. However, reproducibility and standardization are still problematic. The present review gives an overview of the diagnostic value of protein profiles obtained with SELDI in studies on prostate and ovarian cancer. To identify aspects important for protein profiling, we compare and discuss differences in pre- and post-analytical conditions presented in the literature supplemented with some of our own data. Further progress in protein profiling as a diagnostic tool requires a more comprehensive description of technical details in all future studies.
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) has been used to rapidly profile the protein content of human cell lysates from MCF-10 cell and variant lines. The method was used to study the protein profiles of these cells as they progressed from normal breast epithelium to fully malignant cells. Distinct differences in the protein profiles were observed with progression, and specific proteins associated with carcinogenesis (p53, c-myc, and c-erbB-2) were heavily expressed in these cells as detected by MALDI-TOFMS. These proteins were also isolated using non-porous reversed-phase high performance liquid chromatography (NP-RP-HPLC) and mass analyzed by MALDI-TOFMS to provide molecular weight information without interference from other proteins in the whole cell lysates, and to avoid suppression effects in mixtures of proteins detected by MALDI-TOFMS. In order to confirm the identity of these oncoproteins, the cell lysates were subjected to one-dimensional (1-D) gel separation and subsequently electroblotted onto a poly(vinylidene difluoride) (PVDF) membrane for further analysis. Trypsin and cyanogen bromide digestions were performed on these proteins eluted from excised PVDF bands which were then analyzed by MALDI-TOFMS. The identity of these proteins was confirmed by database matching procedures.
Large scale comparative evaluation of protein expression requires miniaturized techniques to provide sensitive and accurate measurements of the abundance of molecules present as individual and/or assembled protein complexes in cells. The principle of competition between target molecules for binding to arrayed antibodies has recently been proposed to assess differential expression of numerous proteins with one-color or two-color fluorescence detection methods. To establish the limiting factors and to validate the use of alternative detection for protein profiling, we performed competitive binding assays under different conditions. A model experimental protocol was developed whereby the competitive displacement of multi-subunit bacterial RNA polymerase and/or its subunits was evaluated through binding to subunit-specific immobilized monoclonal antibodies. We show that the difference in physico-chemical properties of unlabeled and labeled molecules significantly affects the performance of one-color detection, whereas epitope inaccessibility in the protein complex can prohibit the assessment of competition by both detection methods. Our data also demonstrate that antibody cross-reactivity, target protein truncation and abundance, as well as the cellular compartment of origin are major factors that affect protein profiling on antibody arrays. The experimental conditions established for prokaryotic proteins were adopted to compare protein profiles in the breast tumor-derived cell lines MDA MB-231 and SKBR3. Competitive displacement was detected and confirmed for a number of proteins using both detection methods; however, we show that overall the two-color method is better suited for accurate expression profile evaluation of a large, complex set of proteins. Antibody array data confirm the functional linkage between the ErbB2 receptor and AP-2 transcription factors in these cell lines and highlight unexpected differences in G1 cyclin expression.
Protein profiling with mass spectrometry is a promising approach for classification and identification of biomarkers; however, there is debate about measurement quality and reliability. Here, we present a pipeline for preprocessing, statistical data analysis and presentation. Serum samples of 16 healthy individuals are used to generate protein profiles with high-resolution MALDI-TOF after isolation of peptides with C8 magnetic beads. Analysis of variance was performed after binning, baseline correction and normalization of the mean spectra. Relative variations in the spectra are expressed as coefficient of variation, which depending on the respective preanalytical variation parameter investigated, was found to range between 0.15 and 0.67 in this study. With this novel method, the reproducibility of our protein profiling procedure could be quantified. We showed that circadian rhythm and the number of freeze-thaw cycles had relatively limited influence on serum protein profiles, whereas the period between collection and serum centrifugation had a more pronounced effect.
Using proteomics, proteins regulated by 17beta-estradiol (E2) were identified in human MCF-7 breast cancer cells; 26 proteins including heat shock proteins (Hsps) were differentially regulated by E2 in cells cultured in serum-free condition. When the transcript levels of these proteins and another Hsps were measured by real-time PCR, the transcripts encoding 6 proteins (Hsp56, Hsp90alpha, Hsp110, protein disulfide isomerase related protein, XTP3-transactivated protein A and stathmin 1) were significantly up-regulated and that encoding aminoacylase 1 was down-regulated by E2 in cells cultured with or without serum. The protein profiling and transcript expression patterns of E2-regulated proteins including Hsps in MCF-7 cells suggested the involvement of these proteins in breast carcinogenesis. Proteins (or transcripts) whose expression pattern is altered by E2 might be potent targets for treating breast cancer patients.
We determined the protein profiles of the trabecular meshwork (TM) obtained from 14 normal human eyes from individuals of various ages (53 to 76 years) using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and a highly sensitive silver staining technique, which yields 50-100 times greater sensitivity than is achieved with Coomassie Blue. Over 30 protein bands varying in molecular weight from 16,000 to 250,000 were consistently visible, regardless of donor age. Protein profiles of one-eighth human TM obtained from each eye showed a same pattern and those of one-eight organ-cultured human TM during 4 weeks also indicated a same pattern. Protein profiles of the TM from normal human eyes of various ages shared a number of similarities. Protein profiles of the TM, peripheral cornea, limbal sclera, iris, and ciliary body from a control donor were similar, although several polypeptide bands were unique to each structure.
Protein profiles of in vivo propagated and in vitro cultivated Treponema pallidum subsp. pallidum (Nichols strain) were analyzed using two-dimensional gel electrophoresis (2D-PAGE). A comparative study between the two protein profiles (as detected by silver stain, Western blotting, and autoradiography) demonstrated two in vitro synthesized polypeptides with approximate molecular masses of 29- and 35 kDa (both with pI 5.62) which were absent in the protein profile of the in vivo propagated T. pallidum. It also was demonstrated that the in vitro cultivated organisms lacked an antigenic polypeptide (as judged by Western blots) of approximate molecular weight 35 kDa (pI 5.34) which was present in the in vivo propagated organisms. To determine the cellular location of these polypeptides, the outer membrane proteins of T. pallidum was extracted with Triton X-114. The extracted proteins were subjected to phase partitioning and the 2D-PAGE protein profiles of the detergent and aqueous phases were compared. The results indicated that in vitro cultivation caused some changes in the cytoplasmic protein profiles of T. pallidum, but no changes were detected in the profiles of the membrane proteins.
In this study, we demonstrate the versatility of matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOFMS) protein profiling for the species differentiation of a diverse suite of Bacillus spores. MALDI-TOFMS protein profiles of 11 different strains of Bacillus spores, encompassing nine different species, were evaluated. Bacillus species selected for MALDI-TOFMS analysis represented the spore-forming bacterial diversity of typical class 100K clean room spacecraft assembly facilities. A one-step sample treatment and MALDI-TOFMS preparation were used to minimize the sample preparation time. A library of MALDI-TOFMS spectra was created from these nine Bacillus species, the most diverse protein profiling study of the genus reported to date. Linear correlation analysis was used to successfully differentiate the MALDI-TOFMS protein profiles from all strains evaluated in this study. The MALDI-TOFMS protein profiles were compared with 16S rDNA sequences for their bacterial systematics and molecular phylogenetic affiliations. The MALDI-TOFMS profiles were found to be complementary to the 16S rDNA analysis. Proteomic studies of Bacillus subtilis 168 were pursued to identify proteins represented by the biomarker peaks in the MALDI-TOFMS spectrum. Four small, acid-soluble proteins (A, B, C, and D), one DNA binding protein, hypothetical protein ymf J, and four proteins associated with the spore coat and spore coat formation (coat JB, coat F, coat T, and spoIVA) were identified. The ability to visualize higher-molecular-mass coat proteins (10 to 25 kDa) as well as smaller proteins (<10 kDa) with MALDI-TOFMS profiling is critical for the complete and effective species differentiation of the Bacillus genus.