A structured model for vegetative growth and sporulation inBacillus thuringiensis

A mathematical model has been developed for the δ-endotoxin producingBacillus thuringiensis. The structure of the model involves the processes taking place during vegetative growth, those leading to the initiation of sporulation under conditions of carbon and/or nitrogen limitation, and the sporulation events. The key features in the model are the pools of compounds, such as PRPP, IMP, ADP/ATP, GDP/GTP, pyrimidine nucleotides, NAD/NADH2, amino acids, nucleic acids, cell wall, and vegetative and sporulation proteins. These, along with σ-factors that control the nature of RNA-polymerase during the different phases, effectively stimulate the vegetative growth and sporulation. The initiation of sporulation is controlled by the intracellular concentration of GTP. Results of simulation of vegetative growth, initiation of sporulation, spore protein formation, and production of δ-endotoxin under C- or N-limitation are presented.

     

Bacterial Inactivation by Solar Ultraviolet Radiation Compared with Sensitivity to 254 nm Radiation

Our goal was to derive a quantitative factor that would allow us to predict the solar sensitivity of vegetative bacterial cells to natural solar radiation from the wealth of data collected for cells exposed to UVC (254 nm) radiation. We constructed a solar effectiveness spectrum for inactivation of vegetative bacterial cells by combining the available action spectra for vegetative cell killing in the solar range with the natural sunlight spectrum that reaches the ground. We then analyzed previous studies reporting the effects of solar radiation on vegetative bacterial cells and on bacterial spores. Although UVC-sensitive cells were also more sensitive to solar radiation, we found no absolute numerical correlation between the relative solar sensitivity of vegetative cells and their sensitivity to 254 nm radiation. The sensitivity of bacterial spores to solar exposure during both summer and winter correlated closely to their UVC sensitivity. The estimates presented here should make it possible to reasonably predict the time it would take for natural solar UV to kill bacterial spores or with a lesser degree of accuracy, vegetative bacterial cells after dispersion from an infected host or after an accidental or intentional release.     

Detection and identification of bacteria using direct injection inductively coupled plasma mass spectroscopy

In this study, an inductively coupled plasma mass spectrometer (ICP-MS) was used for the inorganic chemical characterization of biological materials by direct injection. ICP-MS has the advantage of sub-nanogram/gram detection limits for most elements making it a sensitive tool for the detection and characterization of aerosolized biological material. Suspended, microgram-sized samples of Bacillus subtilis spores (BG), Bacillus subtilis vegetative cells (Bg), and Bacillus thuringiensis (Bt) were analyzed via direct injection and they exhibit unique chemical signatures reflecting the processing history of each organism.     

High-resolution MALDI-TOF mass spectrometry of bacterial proteins using a Tris-EDTA buffer approach

The performance of matrix assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF) of bacterial proteins strongly depends on sample preparation. It is found that the mass spectral profiles obtained from direct MALDI-TOF MS of the protein extracts are much weaker for individual bacterial cells than compared to those prepared by the Tris-EDTA buffer approach (TEBA). Characteristic mass spectral peaks were observed in the mass range from 3,000 to 15,000?Da. The mass peaks reported earlier and claimed to serve as species-specific biomarkers are consistently found here as well. Mass peaks at m/z of 3636, 5466, 5750, 6315, 6547, 7274, 9192, and 9742 are found for Escherichia coli studied and assigned as specific biomarkers. Similarly, specific mass peaks have been identified at m/z 5443, 7270, 7724, and 9888 for Bacillus subtilis, and at 3603, 5496, 6800, 8858 and 9531 for Serratia marcescens. The detection limits for the three target bacteria range from 2.4?×?10⁵ to 3.3?×?10⁵?cfu·mL^-1. We conclude that the TE buffer approach can produce reliable data for rapid classification, high-resolution and highly sensitive detection of bacteria.

Application of capillary electrophoresis to monitor populations of Cellulomonas cartae KYM-7 and Agrobacterium tumefaciens KYM-8 in mixed culture.

A bacterial cell mixture ot Cellulomonas cartae KYM-7 and Agrobacterium tumefaciens KYM-8 was analyzed by capillary zone electrophoresis (CZE) and capillary gel electrophoresis (CGE). Both pherograms showed two discrete peaks. The cells in the peaks were collected, Gram stained, and examined with a microscope. The cells of the two strains were well separated by OGE, and each OGE peak consisted almost entirely of cells of one strain (greater than 98% purity), whereas each CZE peak contained cells of both strains (about 90% purity). In the concentration range of 1.0 x 10(10) to 1.0 x 10(12) cells/mL, the area of CGE peaks was proportional to the amount of cells. The growth of the two strains in mixed culture was measured by OGE. The OGE quantification data were in good agreement with those obtained using fluorescence in situ hybridization. The CGE analyses were accomplished in 1 h, using a relatively uncomplicated procedure. Thus, OGE exhibited great advantages in accuracy, rapidity, and simplicity.     

Determination of cell type‐specific proteome signatures of primary human leukocytes,endothelial cells,keratinocytes, hepatocytes,fibroblasts and melanocytes by comparative proteome profiling

Cells gain their functional specialization by different protein synthesis. A lot of knowledge with respect to cell type‐specific proteins has been collected during the last thirty years. This knowledge was built mainly by using antibodies. Nowadays, modern MS, which supports comprehensive proteome analyses of biological samples, may render possible the search for cell type‐specific proteins as well. However, a therefore necessary systematic MS study comprising many different cell types has not been performed until now. Here we present a proteome analysis strategy supporting the automated and meaningful comparison of any biological samples. We have presently applied this strategy to six different primary human cell types, namely leukocytes, endothelial cells, keratinocytes, hepatocytes, fibroblasts, and melanocytes. Comparative analysis of the resulting proteome profiles allowed us to select proteins specifically identified in one of the six cell types and not in any of the five others. Based on these results, we designated cell type‐specific proteome signatures consisting each of six such characteristic proteins. These signatures independently reproduced well‐known marker proteins already established for FACS analyses in addition to novel candidate marker proteins. We applied these signatures for the interpretation of proteome profiles obtained from the analyses of hepatocellular carcinoma‐associated tissue homogenates and normal liver tissue homogenates. The identification of members of the above described signatures gave us an indication of the presence of characteristic cells in the diseased tissues and thus supported the interpretation of the proteomics data of these complex biological samples.     

Detection of Bacillus endospores using total luminescence spectroscopy

Detection and analysis of bacteria from environmental samples (e.g. water, air, and food) are usually accomplished by standard culture techniques or by analyses that target specific DNA sequences, antigens or chemicals. For large cell numbers in aqueous suspensions, an alternative technique that has proven useful is total luminescence spectroscopy (TLS). TLS is the acquisition of fluorescence data that records the unique excitation-emission matrix (EEM) of compound fluorophores. Past work has shown that one type of bacterial endospore, Bacillus megaterium, possessed a distinct EEM pattern useful for differentiating it in complex biological fluids and suspensions. The work described here extends those observations to establish some limits on the sensitivity and specificity of TLS for the detection and analysis of bacterial endospores versus (bacterial) vegetative cells in aqueous culture. Our findings show Bacillus endospores exhibit a dramatic blue shift of 130 nm in excitation and a smaller shift of 50 nm in emission when compared to ancillary endospore and non-endospore forming bacterial cells.     

Direct infusion electrospray ionization mass spectra of crude cell extracts for microbial characterizations: influence of solvent conditions on the detection of proteins

Direct infusion electrospray ionization mass spectrometry (DIES-MS) of crude bacterial extracts is a rapid method that can be used to characterize microbial cells. Phospholipids, metabolites, and proteins can be detected rapidly with minimal sample preparation. However, several factors influence the detection of signals in such high-throughput analyses. We studied the influence of solvent conditions, including the organic content and pH of the solvent, on the extraction and subsequent detection of signals in DIES-MS, with a view to improving the detection of protein signals. Unfractionated cell extracts from three strains of the Gram-negative Escherichia coli (including one encoding a recombinant green fluorescence protein), and the Gram-positive Bacillus sphaericus and B. subtilis were investigated. Both pH and the organic content of the solvent were found to influence the spectral information as observed from principal component analysis of the spectral data. A polar solvent with higher organic content resulted in the extraction of phospholipids that overtly dominate the spectral information. Decreasing the organic content of the extraction solvent resulted in the improved detection of protein peaks. Altering the pH of the extraction solvent resulted in different protein profiles from the same bacterium, as observed after spectral deconvolution. In addition, the protein profiles were also different when using different organic solvents. Spectral deconvolution showed several protein peaks that had mass-based homology with those in protein databases for the (sequenced) organisms studied. These results suggest that a combination of solvent conditions can be used to generate protein profiles rapidly that when combined can provide additional valuable proteomic information.     

Estimation of protein concentration at high sensitivity using SDS‐capillary gel electrophoresis‐laser induced fluorescence detection with 3‐(2‐furoyl)quinoline‐2‐carboxaldehyde protein labeling

3‐(2‐furoyl)quinoline‐2‐carboxaldehyde (FQ) is a sensitive fluorogenic dye, used for derivatization of proteins for SDS‐CGE with LIF detection (SDS‐CGE‐LIF) at silver staining sensitivity (ng/mL). FQ labels proteins at primary amines, found at lysines and N‐termini, which vary in number and accessibility for different proteins. This work investigates the accuracy of estimation of protein concentration with SDS‐CGE‐LIF in real biological samples, where a different protein must be used as a standard. Sixteen purified proteins varying in molecular weight, structure, and sequence were labeled with FQ at constant mass concentration applying a commonly used procedure for SDS‐CGE‐LIF. The fluorescence of these proteins was measured using a spectrofluorometer and found to vary with a RSD of 36%. This compares favorably with other less sensitive methods for estimation of protein concentration such as SDS‐CGE‐UV and SDS‐PAGE‐Coomassie and is vastly superior to the equivalently sensitive silver stain. Investigation into the number of labels bound with UHPLC‐ESI‐QTOF‐MS revealed large variations in the labeling efficiency (percentage of labels to the number of labeling sites given by the sequence) for different proteins (from 3 to 30%). This explains the observation that fluorescence per mole of protein was not proportional to the number of lysines in the sequence.     

Sample preparation in matrix-assisted laser desorption/ionization mass spectrometry of whole bacterial cells and the detection of high mass (>20 kDa) proteins

Three sample preparation strategies commonly employed in matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOFMS) of whole bacterial cells were investigated for the detection of high mass signals; these included the dried droplet, the seed-layer/two-layer, and the bottom-layer methods. Different sample preparation approaches favoured the detection of high- or low-mass proteins. The low-mass peaks were best detected using the bottom-layer method. By contrast, the dried droplet method using a solvent with higher water content, and hence effecting a slower crystallization process, gave the best results for the detection of high-mass signals. Signals up to m/z 158 000 could be detected with this methodology for Bacillus sphaericus. Sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) analysis of the same extracts used for MALDI-TOFMS showed bands in the molecular weight range in which high-mass peaks were observed in MALDI-MS, suggesting that the high-mass signals are not polymeric adducts of low-mass protein monomers. In addition, one of the high molecular weight proteins (approximately 126 kDa) was putatively identified as an S-layer protein by an in-gel tryptic digest. The bacterial samples spotted on the target wells for MALDI-TOFMS, using the different sample preparation strategies, were examined under a scanning electron microscope and differences were observed between the different strategies, suggesting that the nature of the crystals and the distribution of the analytes amidst the crystals could influence the spectral pattern observed in MALDI-TOFMS of whole bacterial cells. Finally, evidence is presented to indicate that, although the determinants are intact cells, cell lysis occurs both before and during the MALDI process.     

Profiling the Heme-Binding Proteomes of Bacteria Using Chemical Proteomics

Heme is a cofactor with myriad roles and essential to almost all living organisms. Beyond classical gas transport and catalytic functions, heme is increasingly appreciated as a tightly controlled signalling molecule regulating protein expression. However, heme acquisition, biosynthesis and regulation is poorly understood beyond a few model organisms, and the heme-binding proteome has not been fully characterised in bacteria. Yet as heme homeostasis is critical for bacterial survival, heme-binding proteins are promising drug targets. Herein we report a chemical proteomics method for global profiling of heme-binding proteins in live cells for the first time. Employing a panel of heme-based clickable and photoaffinity probes enabled the profiling of 32–54 % of the known heme-binding proteomes in Gram-positive and Gram-negative bacteria. This simple-to-implement profiling strategy could be interchangeably applied to different cell types and systems and fuel future research into heme biology.     

Redesigning of Microbial Cell Surface and Its Application to Whole-Cell Biocatalysis and Biosensors

Microbial cell surface display technology can redesign cell surfaces with functional proteins and peptides to endow cells some unique features. Foreign peptides or proteins are transported out of cells and immobilized on cell surface by fusing with anchoring proteins, which is an effective solution to avoid substance transfer limitation, enzyme purification, and enzyme instability. As the most frequently used prokaryotic and eukaryotic protein surface display system, bacterial and yeast surface display systems have been widely applied in vaccine, biocatalysis, biosensor, bioadsorption, and polypeptide library screening. In this review of bacterial and yeast surface display systems, different cell surface display mechanisms and their applications in biocatalysis as well as biosensors are described with their strengths and shortcomings. In addition to single enzyme display systems, multi-enzyme co-display systems are presented here. Finally, future developments based on our and other previous reports are discussed.     

Protein separation by capillary gel electrophoresis: A review

Capillary gel electrophoresis (CGE) has been used for protein separation for more than two decades. Due to the technology advancement, current CGE methods are becoming more and more robust and reliable for protein analysis, and some of the methods have been routinely used for the analysis of protein-based pharmaceuticals and quality controls. In light of this progress, we survey 147 papers related to CGE separations of proteins and present an overview of this technology. We first introduce briefly the early development of CGE. We then review the methodology, in which we specifically describe the matrices, coatings, and detection strategies used in CGE. CGE using microfabricated channels and incorporation of CGE with two-dimensional protein separations are also discussed in this section. We finally present a few representative applications of CGE for separating proteins in real-world samples.     

MATEPRED-A-SVM-Based Prediction Method for Multidrug And Toxin Extrusion (MATE) Proteins

The growth and spread of drug resistance in bacteria have been well established in both mankind and beasts and thus is a serious public health concern. Due to the increasing problem of drug resistance, control of infectious diseases like diarrhea, pneumonia etc. is becoming more difficult. Hence, it is crucial to understand the underlying mechanism of drug resistance mechanism and devising novel solution to address this problem. Multidrug And Toxin Extrusion (MATE) proteins, first characterized as bacterial drug transporters, are present in almost all species. It plays a very important function in the secretion of cationic drugs across the cell membrane. In this work, we propose SVM based method for prediction of MATE proteins. The data set employed for training consists of 189 non-redundant protein sequences, that are further classified as positive (63 sequences) set comprising of sequences from MATE family, and negative (126 sequences) set having protein sequences from other transporters families proteins and random protein sequences taken from NCBI while in the test set, there are 120 protein sequences in all (8 in positive and 112 in negative set). The model was derived using Position Specific Scoring Matrix (PSSM) composition and achieved an overall accuracy 92.06%. The five-fold cross validation was used to optimize SVM parameter and select the best model. The prediction algorithm presented here is implemented as a freely available web server MATEPred, which will assist in rapid identification of MATE proteins.     

Rapid identification and classification of Mycobacterium spp. using whole-cell protein barcodes with matrix assisted laser desorption ionization time of flight mass spectrometry in comparison with multigene phylogenetic analysis

The need of quick diagnostics and increasing number of bacterial species isolated necessitate development of a rapid and effective phenotypic identification method. Mass spectrometry (MS) profiling of whole cell proteins has potential to satisfy the requirements. The genus Mycobacterium contains more than 154 species that are taxonomically very close and require use of multiple genes including 16S rDNA for phylogenetic identification and classification. Six strains of five Mycobacterium species were selected as model bacteria in the present study because of their 16S rDNA similarity (98.4–99.8%) and the high similarity of the concatenated 16S rDNA, rpoB and hsp65 gene sequences (95.9–99.9%), requiring high identification resolution. The classification of the six strains by MALDI TOF MS protein barcodes was consistent with, but at much higher resolution than, that of the multi-locus sequence analysis of using 16S rDNA, rpoB and hsp65. The species were well differentiated using MALDI TOF MS and MALDI BioTyper™ software after quick preparation of whole-cell proteins. Several proteins were selected as diagnostic markers for species confirmation. An integration of MALDI TOF MS, MALDI BioTyper™ software and diagnostic protein fragments provides a robust phenotypic approach for bacterial identification and classification.     

An ultra‐high temperature flow‐through capillary device for bacterial spore lysis

Rapid and specific characterization of bacterial endospores is dependent on the ability to rupture the cell wall to enable analysis of the intracellular components. In particular, bacterial spores from the bacillus genus are inherently robust and very difficult to lyze or solubilize. Standard protocols for spore inactivation include chemical treatment, sonication, pressure, and thermal lysis. Although these protocols are effective for the inactivation of these agents, they are less well suited for sample preparation for analysis using proteomic and genomic approaches. To overcome this difficulty, we have designed a simple capillary device to perform thermal lysis of bacterial spores. Using this device, we were able to super heat (195°C) an ethylene glycol lysis buffer to perform rapid flow‐through rupture and solubilization of bacterial endospores. We demonstrated that the lysates from this preparation method are compatible with CGE as well as DNA amplification analysis. We further demonstrated the flow‐through lysing device could be directly coupled to a miniaturized electrophoresis instrument for integrated sample preparation and analysis. In this arrangement, we were enabled to perform sample lysis, fluorescent dye labeling, and protein electrophoresis analysis of bacterial spores in less than 10 min. The described sample preparation device is rapid, simple, inexpensive, and easily integratable with various microfluidic devices.     

Usefulness of autoantigens depletion to detect autoantibody signatures by multiple affinity protein profiling

Patients with cancer produce specific autoantibodies against protein antigens present in limited amount among a large background of immunoglobulins (Igs), nonrelevant as biomarkers, including natural antibodies. Multiple affinity protein profiling (MAPPing) that combines 2-D immunoaffinity chromatography, enzymatic digestion of the isolated proteins, and identification by MS/MS, may facilitate the identification of these so far unknown patient antibodies. The first immunoaffinity chromatography is crucial, as it is used for selectively removing proteins (autoantigens) recognized by natural antibodies. Application of this depletion step to colon cancer cell proteins is specifically described along with the identification of the natural autoantigens, as well as the coupling of this depletion step with the next steps. By enabling to separate antibody-binding proteins recognized by either natural autoantibodies or patient-specific antibodies this approach may contribute significantly towards the definition of autoantibody signatures.     

A novel linker methodology for the synthesis of tailored conjugate vaccines composed of complex carbohydrate antigens and specific TH-cell peptide epitopes

Pathogenic organisms or oncogenically transformed cells often express complex carbohydrate structures at their cell surface, which are viable targets for active immunotherapy. We describe here a novel, immunologically neutral, linker methodology for the efficient preparation of highly defined vaccine conjugates that combine complex saccharide antigens with specific TH-cell peptide epitopes. This novel heterobifunctional approach was employed for the conjugation of a (1-->2)-beta-mannan trisaccharide from the pathogenic fungus Candida albicans as well as the carbohydrate portion of tumor-associated ganglioside GM2 to a TH-cell peptide epitope derived from the murine 60 kDa self heat-shock protein (hsp60). Moreover, the linkage chemistry has proven well suited for the synthesis of more complex target structures such as a biotinylated glycopeptide, a three component vaccine containing an immunostimulatory peptide epitope from interleukin-1 beta (IL-1 beta), and for the conjugation of complex carbohydrates to carrier proteins such as bovine serum albumin.     

Two-dimensional nitrosylated protein fingerprinting by using poly (methyl methacrylate) microchips

S-nitrosylation (also referred to as nitrosation), a reversible post translational modification (PTM) of cysteine, plays an important role in cellular functions and cell signalling pathways. Nitrosylated proteins are considered as biomarkers of aging and Alzheimer's disease (AD). Microfluidics has been widely used for development of novel tools for separation of protein mixtures. Here we demonstrate two-dimensional micro-electrophoresis (2D μ-CE) separations of nitrosylated proteins from the human colon epithelial adenocarcinoma cells (HT-29) and AD transgenic mice brain tissues. Sodium dodecyl sulphate micro-capillary gel electrophoresis (SDS μ-CGE) and microemulsion electrokinetic chromatography (MEEKC) were used for the first and second dimensional separations, respectively. The effective separation lengths for both dimensions were 10 mm, and electrokinetic injection was used with field strength at 200 V cm(-1). After 80 s separation in the first CGE dimension, fractions were successfully transferred to a second MEEKC dimension for a short 10 s separation. We first demonstrate this 2D μ-CE separation by resolving five standard proteins with molecular weight (MW) ranging from 20 to 64 kDa. We also present a high peak capacity 3D landscape image of nitrosylated proteins from HT-29 cells before and following menadione (MQ) treatment to induce oxidative stress. Additionally, to illustrate the potential of the 2D μ-CE separation method for rapid profiling of oxidative stress-induced biomarkers implicated in AD disease, the nitrosylated protein fingerprints from 11-month-old AD transgenic mice brain and their age matched controls were also generated. To our knowledge, this is the first report on 2D profiling of nitrosylated proteins in biological samples on a microchip. The characteristics of this biomarker profiling will potentially serve as the screening for early detection of AD.