Biomedical subjects

Jörg Bernhardt

Publications and source records attributed to Jörg Bernhardt.

11 recordsLinked to original sources

PubMed2006

Towards the entire proteome of the model bacterium Bacillus subtilis by gel-based and gel-free approaches.

With the emergence of mass spectrometry in protein science and the availability of complete genome sequences, proteomics has gone through a rapid development. The soil bacterium Bacillus subtilis, as one of the first DNA sequenced species, represents a model for Gram-positive bacteria and its proteome was extensively studied throughout the years. Having the final goal to elucidate how life really functions, one basic requirement is to know the entirety of cellular proteins. This review presents how far we have got in unraveling the proteome of B. subtilis. The application of gel-based and gel-free technologies, the analyses of different subcellular proteome fractions, and the pursuance of various physiological strategies resulted in a coverage of more than one-third of B. subtilis theoretical proteome.

Bacillus subtilis↗

PubMed2006

The extracellular proteome of Bacillus licheniformis grown in different media and under different nutrient starvation conditions.

The now finished genome sequence of Bacillus licheniformis DSM 13 allows the prediction of the genes involved in protein secretion into the extracellular environment as well as the prediction of the proteins which are translocated. From the sequence 296 proteins were predicted to contain an N-terminal signal peptide directing most of them to the Sec system, the main transport system in Gram-positive bacteria. Using 2-DE the extracellular proteome of B. licheniformis grown in different media was studied. From the approximately 200 spots visible on the gels, 89 were identified that either contain an N-terminal signal sequence or are known to be secreted by other mechanisms than the Sec pathway. The extracellular proteome of B. licheniformis includes proteins from different functional classes, like enzymes for the degradation of various macromolecules, proteins involved in cell wall turnover, flagellum- and phage-related proteins and some proteins of yet unknown function. Protein secretion is highest during stationary growth phase. Furthermore, cells grown in complex medium secrete considerably higher protein amounts than cells grown in minimal medium. Limitation of phosphate, carbon and nitrogen sources results in the secretion of specific proteins that may be involved in counteracting the starvation.

Amino Acid Sequence↗

PubMed2006

Salt stress adaptation of Bacillus subtilis: a physiological proteomics approach.

The adaptation to osmotic stress is crucial for growth and survival of Bacillus subtilis in its natural ecosystem. Dual channel imaging and warping of 2-D protein gels were used to visualize global changes in the protein synthesis pattern of cells in response to osmotic stress (6% NaCl). Many vegetative enzymes were repressed in response to salt stress and derepressed after resumption of growth. The enzymes catalyzing the metabolic steps from glucose to 2-oxoglutarate, however, were almost constantly synthesized during salt stress despite the growth arrest. This indicates an enhanced need for the proline precursor glutamate. The synthesis of enzymes involved in sulfate assimilation and in the formation of Fe-S clusters was also induced, suggesting an enhanced need for the formation or repair of Fe-S clusters in response to salt stress. One of the most obvious changes in the protein synthesis profile can be followed by the very strong induction of the SigB regulon. Furthermore, members of the SigW regulon and of the PerR regulon, indicating oxidative stress after salt challenge, were also induced. This proteomic approach provides an overview of cell adaptation to an osmotic upshift in B. subtilis visualizing the most dramatic changes in the protein synthesis pattern.

Adaptation, Physiological↗

PubMed2006

Proteome signatures for stress and starvation in Bacillus subtilis as revealed by a 2-D gel image color coding approach.

In this paper we have defined proteome signatures of Bacillus subtilis in response to heat, salt, peroxide, and superoxide stress as well as after starvation for ammonium, tryptophan, glucose, and phosphate using the 2-D gel-based approach. In total, 79 stress-induced and 155 starvation-induced marker proteins were identified including 50% that are not expressed in the vegetative proteome. Fused proteome maps and a color coding approach have been used to define stress-specific regulons that are involved in specific adaptative functions (HrcA for heat, PerR and Fur for oxidative stress, RecA for peroxide, CymR and S-box for superoxide stress). In addition, starvation-specific regulons are defined that are involved in the uptake or utilization of alternative nutrient sources (TnrA, sigmaL/BkdR for ammonium; tryptophan-activated RNA-binding attenuation protein for tryptophan; CcpA, CcpN, sigmaL/AcoR for glucose; PhoPR for phosphate starvation). The general stress or starvation proteome signatures include the CtsR, Spx, sigmaL/RocR, sigmaB, sigmaH, CodY, sigmaF, and sigmaE regulons. Among these, the Spx-dependent oxidase NfrA was induced by all stress conditions indicating stress-induced protein damages. Finally, a subset of sigmaH-dependent proteins (sporulation response regulator, YvyD, YtxH, YisK, YuxI, YpiB) and the CodY-dependent aspartyl phosphatase RapA were defined as general starvation proteins that indicate the transition to stationary phase caused by starvation.

Bacillus subtilis↗

PubMed2005

Defining the proteome.

A report on the Fourth Annual HUPO World Congress (HUPO2005) 'From Defining the Proteome to Understanding Function', Munich, Germany, 28 August-1 September 2005.

Biomedical Research↗

PubMed2005

Genome-wide mRNA profiling in glucose starved Bacillus subtilis cells.

In this study global changes in gene expression were monitored in Bacillus subtilis cells entering stationary growth phase owing to starvation for glucose. Gene expression was analysed in growing and starving cells at different time points by full-genome mRNA profiling using DNA macroarrays. During the transition to stationary phase we observed extensive reprogramming of gene expression, with approximately 1,000 genes being strongly repressed and approximately 900 strongly up-regulated in a time-dependent manner. The genes involved in the response to glucose starvation can be assigned to two main classes: (i) general stress/starvation genes which respond to various stress or starvation stimuli, and (ii) genes that respond specifically to starvation for glucose. The first class includes members of the sigma(B)-dependent general stress regulon, as well as 90 vegetative genes, which are strongly down regulated in the course of the stringent response. Among the genes in the second class, we observed a decrease in the expression of genes encoding proteins required for glucose uptake, glycolysis and the tricarboxylic acid cycle. Conversely, many carbohydrate utilisation systems that depend on phosphotransferase systems (PTS) or ABC transporters were activated. The expression of genes required for utilisation or generation of acetate indicates that acetate constitutes an important energy source for B. subtilis during periods of glucose starvation. Finally, genome wide mRNA profiling data can be used to predict new metabolic pathways in B. subtilis. Thus, our data suggest that glucose-starved cells are able to degrade branched-chain fatty acids to pyruvate and succinate via propionyl-CoA using the methylcitrate pathway. This pathway appears to link lipid degradation to gluconeogenesis in glucose-starved cells.

Bacillus subtilis↗

PubMed2004

A comprehensive proteome map of growing Bacillus subtilis cells.

The proteome of growing cells of Bacillus subtilis was analyzed in order to provide the basis for its application in microbial physiology. DNA arrays were used to calculate the number of genes transcribed in growing cells. From the 4100 B. subtilis genes, 2515 were actively transcribed in cells grown under standard conditions. From these genes 1544 proteins should be covered by our standard gel system pI 4-7. Using this standard gel system and supplementary zoom gels (pI 5.5-6.7, 5-6, 4.5-5.5, and 4-5) 693 proteins which are expressed in growing cells were detected that cover more than 40% of the vegetative proteome predicted for this region. Particularly broad coverage and thus comprehensive monitoring will be possible for central carbohydrate metabolism (glycolysis, pentose phosphate shunt, and citric acid cycle), amino acid synthesis pathways, purine and pyrimidine metabolism, fatty acid metabolism, and main cellular functions like replication, transcription, translation, and cell wall synthesis. Comparing the theoretical pI and Mr values with those experimentally determined a reasonable correlation was found for the majority of protein spots. By a color code outliers with dramatic deviations in charge or mass were visualized that may indicate post-translational modifications. In addition to the cytosolic neutral and alkaline proteins, 130 membrane proteins were found relying on sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) separation in combination with electrospray ionization-tandem mass spectrometry (ESI-MS/MS) techniques. The vegetative proteome containing 876 proteins in total is now ready for physiological applications. Two main proteome fractions (pI 4-7 and zoom gel pI 4.5-5.5) should be sufficient for such high-throughput physiological proteomics.

Bacillus subtilis↗

PubMed2003

Using standard positions and image fusion to create proteome maps from collections of two-dimensional gel electrophoresis images.

Databases for two-dimensional protein gels pose new challenges in extracting meaningful information from large numbers of experiments. In order to create expression profiles, positions of corresponding protein spots across all gel images have to be established. In larger gel sets errors may accumulate rapidly during this spot matching process, effectively limiting the number of samples available for data mining. Here we present a novel approach for organizing spot data based on the concept of a standard position for a protein species. Standard positions are meaningful average positions that are determined using all occurrences of a protein species. They can be extended to spots that are not annotated via interpolation. The standard position of a spot can serve as a unifying index across all gels in a database, thus allowing creation and analysis of expression profiles that span the whole collection. The standard position gives a much more accurate estimation of a spot's position on a gel than can be obtained using theoretical isoelectric point and molecular weight. Positional indexing is a complement to a priori identifications (e.g. by mass spectrometry or Edman degradation). Moreover it can be used in advance to select spots that are worth identifying because they show relevant expression profiles. Furthermore, we show how to combine all spots that occur on any of the gels into one synthetic but nevertheless realistic-looking image. This composite image is produced such that all spots have their standard positions. It can serve as a proteome reference map for an organism. As an application, we have computed a reference map from 23 gel images of Bacillus subtilis, using an enhanced prerelease version of the gel analysis software Delta2D (DECODON, Greifswald, Germany).

Bacterial Proteins↗

PubMed2003

Bacillus subtilis during feast and famine: visualization of the overall regulation of protein synthesis during glucose starvation by proteome analysis.

Dual channel imaging and warping of two-dimensional (2D) protein gels were used to visualize global changes of the gene expression patterns in growing Bacillus subtilis cells during entry into the stationary phase as triggered by glucose exhaustion. The 2D gels only depict single moments during the cells' growth cycle, but a sequential series of overlays obtained at specific points of the growth curve facilitates visualization of the developmental processes at the proteomics scale. During glucose starvation a substantial reprogramming of the protein synthesis pattern was found, with 150 proteins synthesized de novo and cessation of the synthesis of almost 400 proteins. Proteins induced following glucose starvation belong to two main regulation groups: general stress/starvation responses induced by different stresses or starvation stimuli (sigma(B)-dependent general stress regulon, stringent response, sporulation), and glucose-starvation-specific responses (drop in glycolysis, utilization of alternative carbon sources, gluconeogenesis). Using the dual channel approach, it was not only possible to identify those regulons or stimulons, but also to follow the fate of each single protein by the three-color code: red, newly induced but not yet accumulated; yellow, synthesized and accumulated; and green, still present, but no longer being synthesized. These green proteins, which represent a substantial part of the protein pool in the nongrowing cell, are not accessible by using DNA arrays. The combination of 2D gel electrophoresis and MALDI TOF mass spectrometry with the dual channel imaging technique provides a new and comprehensive view of the physiology of growing or starving bacterial cell populations, here for the case of the glucose-starvation response.

Bacillus subtilis↗

PubMed1997

Identification of vegetative proteins for a two-dimensional protein index of Bacillus subtilis.

Twenty-three of the most prominent spots which are visible on two-dimensional (2-D) protein gels of Bacillus subtilis crude extracts were selected as marker spots for the construction of a 2-D protein index. N-terminal sequencing of the corresponding proteins resulted in the identification of enzymes involved in glycolysis, TCA cycle, pentose phosphate cycle, amino acid metabolism, nucleotide biosynthesis and translation. Using computer analysis of the 2-D protein gels, most of these metabolic enzymes were found to be synthesized at a reduced rate after different stresses and glucose starvation. Such an approach permits a rapid and global evaluation of the regulation of different branches of metabolism in response to various physiological conditions.

Amino Acid Sequence↗

PubMedDate not supplied

Visual analysis of gel-free proteome data.

We present a visual exploration system supporting protein analysis when using gel-free data acquisition methods. The data to be analyzed is obtained by coupling liquid chromatography (LC) with mass spectrometry (MS). LC-MS data have the properties of being nonequidistantly distributed in the time dimension (measured by LC) and being scattered in the mass-to-charge ratio dimension (measured by MS). We describe a hierarchical data representation and visualization method for large LC-MS data. Based on this visualization, we have developed a tool that supports various data analysis steps. Our visual tool provides a global understanding of the data, intuitive detection and classification of experimental errors, and extensions to LC-MS/MS, LC/LC-MS, and LC/LC-MS/MS data analysis. Due to the presence of randomly occurring rare isotopes within the same protein molecule, several intensity peaks may be detected that all refer to the same peptide. We have developed methods to unite such intensity peaks. This deisotoping step is visually documented by our system, such that misclassification can be detected intuitively. For differential protein expression analysis, we compute and visualize the differences in protein amounts between experiments. In order to compute the differential expression, the experimental data need to be registered. For registration, we perform a nonrigid warping step based on landmarks. The landmarks can be assigned automatically using protein identification methods. We evaluate our methods by comparing protein analysis with and without our interactive visualization-based exploration tool.

Chromatography, Gel↗