Identification of procaryotic developmental stages by statistical analyses of two-dimensional gel patterns

Statistics for real-time deformability cytometry: Clustering, dimensionality reduction, and significance testing

Real-time deformability (RT-DC) is a method for high-throughput mechanical and morphological phenotyping of cells in suspension. While analysis rates exceeding 1000 cells per second allow for a label-free characterization of complex biological samples, e.g., whole blood, data evaluation has so far been limited to a few geometrical and material parameters such as cell size, deformation, and elastic Young's modulus. But as a microscopy-based technology, RT-DC actually generates and yields multidimensional datasets that require automated and unbiased tools to obtain morphological and rheological cell information. Here, we present a statistical framework to shed light on this complex parameter space and to extract quantitative results under various experimental conditions. As model systems, we apply cell lines as well as primary cells and highlight more than 11 parameters that can be obtained from RT-DC data. These parameters are used to identify sub-populations in heterogeneous samples using Gaussian mixture models, to perform a dimensionality reduction using principal component analysis, and to quantify the statistical significance applying linear mixed models to datasets of multiple replicates.

Production of specialized metabolites by Streptomyces coelicolor A3(2)

The actinomycetes are well-known bioactive natural product producers, comprising the Streptomycetes, the richest drug-prolific family in all kingdoms, producing therapeutic compounds for the areas of infection, cancer, circulation, and immunity. Completion and annotation of many actinomycete genomes has highlighted further how proficient these bacteria are in specialized metabolism, which have been largely underexploited in traditional screening programs. The genome sequence of the model strain Streptomyces coelicolor A3(2), and subsequent development of genomics-driven approaches to understand its large specialized metabolome, has been key in unlocking the high potential of specialized metabolites for natural product genomics-based drug discovery. This review discusses systematically the biochemistry and genetics of each of the specialized metabolites of S. coelicolor and describes metabolite transport processes for excretion and complex regulatory patterns controlling biosynthesis.

Effect of protein degradation on spot M(r) distribution in 2-D gels--a case study of proteolysis during development of Streptomyces coelicolor cultures

Proteolysis, a regulated biological process, is reflected by protein spot molecular weight distribution in 2-D gel electrophoretograms. Here we report studies of Streptomyces cultures as they undergo two different developmental processes involving proteolysis. Systematic changes in protein molecular weight distribution between the control samples and those with high activity of proteases were demonstrated. The observations were supported by a numerical model of degradation and its influence on the M(r) distribution. Simple statistics could be used to distinguish between normal and degradative 2-D gel electrophoretic patterns.

Mycelium differentiation and antibiotic production in submerged cultures of Streptomyces coelicolor

Despite the fact that most industrial processes for secondary metabolite production are performed with submerged cultures, a reliable developmental model for Streptomyces under these culture conditions is lacking. With the exception of a few species which sporulate under these conditions, it is assumed that no morphological differentiation processes take place. In this work, we describe new developmental features of Streptomyces coelicolor A3(2) grown in liquid cultures and integrate them into a developmental model analogous to the one previously described for surface cultures. Spores germinate as a compartmentalized mycelium (first mycelium). These young compartmentalized hyphae start to form pellets which grow in a radial pattern. Death processes take place in the center of the pellets, followed by growth arrest. A new multinucleated mycelium with sporadic septa (second mycelium) develops inside the pellets and along the periphery, giving rise to a second growth phase. Undecylprodigiosin and actinorhodin antibiotics are produced by this second mycelium but not by the first one. Cell density dictates how the culture will behave in terms of differentiation processes and antibiotic production. When diluted inocula are used, the growth arrest phase, emergence of a second mycelium, and antibiotic production are delayed. Moreover, pellets are less abundant and have larger diameters than in dense cultures. This work is the first to report on the relationship between differentiation processes and secondary metabolite production in submerged Streptomyces cultures.

Phosphoinositides are involved in control of the glucose-dependent growth resumption that follows the transition phase in Streptomyces lividans

The interruption of the sblA gene of Streptomyces lividans was previously shown to lead to relief of glucose repression of the normally strongly glucose-repressed alpha-amylase gene. In addition to this relief, an early entry into stationary phase was observed when cells were grown in a minimal medium containing glucose as the main carbon source. In this study, we established that this mutant does not resume growth after the transition phase when cultured in the complex glucose-rich liquid medium R2YE and sporulates much earlier than the wild-type strain when plated on solid R2YE. These phenotypic differences, which were abolished when glucose was omitted from the R2YE medium, correlated with a reduced glucose uptake ability of the sblA mutant strain. sblA was shown to encode a bifunctional enzyme possessing phospholipase C-like and phosphoinositide phosphatase activities. The cleavage of phosphoinositides by SblA seems necessary to trigger the glucose-dependent renewed growth that follows the transition phase. The transient expression of sblA that takes place just before the transition phase is consistent with a regulatory role for this gene during the late stages of growth. The tight temporal control of sblA expression was shown to depend on two operator sites. One, located just upstream of the -35 promoter region, likely constitutes a repressor binding site. The other, located 170 bp downstream of the GTG sblA translational start codon, may be involved in the regulation of the degradation of the sblA transcript. This study suggests that phosphoinositides constitute important regulatory molecules in Streptomyces, as they do in eukaryotes.

How high G+C Gram-positive bacteria and in particular bifidobacteria cope with heat stress: protein players and regulators

The Actinobacteridae group of bacteria includes pathogens, plant commensals, endosymbionts as well as inhabitants of the gastrointestinal tract. For various reasons, these microorganisms represent a growing area of interest with respect to genomics, molecular biology and genetics. This review will discuss the current knowledge on the molecular players that allow actinobacteria to contend with heat stress, with an emphasis on bifidobacteria. We describe the principal molecular chaperones involved in heat stress. Temporal expression of heat-shock genes based on functional genomics in members of the Actinobacteridae group is also discussed, as well as the emerging molecular mechanisms controlling the heat-stress response.

Morphological changes and proteome response of Corynebacterium glutamicum to a partial depletion of FtsI

In Corynebacterium glutamicum, as in many Gram-positive bacteria, the cell division gene ftsI is located at the beginning of the dcw cluster, which comprises cell division- and cell wall-related genes. Transcriptional analysis of the cluster revealed that ftsI is transcribed as part of a polycistronic mRNA, which includes at least mraZ, mraW, ftsL, ftsI and murE, from a promoter that is located upstream of mraZ. ftsI appears also to be expressed from a minor promoter that is located in the intergenic ftsL–ftsI region. It is an essential gene in C. glutamicum, and a reduced expression of ftsI leads to the formation of larger and filamentous cells. A translational GFP-FtsI fusion protein was found to be functional and localized to the mid-cell of a growing bacterium, providing evidence of its role in cell division in C. glutamicum. This study involving proteomic analysis (using 2D SDS-PAGE) of a C. glutamicum strain that has partially depleted levels of FtsI reveals that at least 20 different proteins were overexpressed in the organism. Eight of these overexpressed proteins, which include DivIVA, were identified by MALDI-TOF. Overexpression of DivIVA was confirmed by Western blotting using anti-DivIVA antibodies, and also by fluorescence microscopy analysis of a C. glutamicum RESF1 strain expressing a chromosomal copy of a divIVA-gfp transcriptional fusion. Overexpression of DivIVA was not observed when FtsI was inhibited by cephalexin treatment or by partial depletion of FtsZ.

Systems level analysis of protein synthesis patterns associated with bacterial growth and metabolic transitions

Gene expression databases, acquired by proteomics and transcriptomics, describe physiological and developmental programs at the systems level. Here we analyze proteosynthetic profiles in a bacterium undergoing defined metabolic changes. Streptomyces coelicolor cultured in a defined liquid medium displays four distinct patterns of gene expression associated with growth on glutamate, diauxic transition, and growth on maltose and ammonia that terminates by starvation for nitrogen and entry into stationary phase. Principal component and fuzzy cluster analyses of the proteome database of 935 protein spot profiles revealed principal kinetic patterns. Online linkage of the proteome database (SWICZ) to a protein-function database (KEGG) revealed limited correlations between expression profiles and metabolic pathway activities. Proteins belonging to principal metabolic pathways defined characteristic kinetic profiles correlated with the physiological state of the culture. These analyses supported the concept that metabolic flux was regulated not by individual enzymes but rather by groups of enzymes whose synthesis responded to changes in nutritional conditions. Higher-level regulation is reflected by the distribution of all kinetic profiles into only nine groups. The observation that enzymes representing principal metabolic pathways displayed their own distinctive average kinetic profiles suggested that expression of a "high-flux backbone" may dominate regulation of metabolic flux.

Proteomic studies of diauxic lag in the differentiating prokaryote Streptomyces coelicolor reveal a regulatory network of stress-induced proteins and central metabolic enzymes

Bacteria typically undergo intermittent periods of starvation and adaptation, emulated as diauxic growth in the laboratory. In association with growth arrest elicited by metabolic stress, the differentiating eubacterium Streptomyces coelicolor not only adapts its primary metabolism, but can also activate developmental programmes leading to morphogenesis and antibiotic biosynthesis. Here, we report combined proteomic and metabolomic data of S. coelicolor used to analyse global changes in gene expression during diauxic growth in a defined liquid medium. Cultures initially grew on glutamate, providing the nitrogen source and feeding carbon (as 2-oxoglutarate) into the TCA cycle, followed by a diauxic delay allowing reorientation of metabolism and a second round of growth supported by NH4+, formed during prediauxic phase, and maltose, a glycolytic substrate. Cultures finally entered stationary phase as a result of nitrogen starvation. These four physiological states had previously been defined statistically by their distinct patterns of protein synthesis and heat shock responses. Together, these data demonstrated that the rates of synthesis of heat shock proteins are determined not only by temperature increase but also by the patterns and rates of metabolic flux in certain pathways. Synthesis profiles for metabolic- and stress-induced proteins can now be interpreted by the identification of 204 spots (SWICZ database presented at http://proteom.biomed.cas.cz). Cluster analysis showed that the activity of central metabolic enzymes involved in glycolysis, the TCA cycle, starvation or proteolysis each displayed identifiable patterns of synthesis that logically underlie the metabolic state of the culture. Diauxic lag was accompanied by a structured regulatory programme involving the sequential activation of heat-, salt-, cold- and bacteriostatic antibiotic (pristinamycin I, PI)-induced stimulons. Although stress stimulons presumably provide protection during environmental- or starvation-induced stress, their identities did not reveal any coherent adaptive or developmental functions. These studies revealed interactive regulation of metabolic and stress response systems including some proteins known to support developmental programmes in S. coelicolor.

The UV-B stimulon of the terrestrial cyanobacterium Nostoc commune comprises early shock proteins and late acclimation proteins

The UV-B and desiccation-tolerant terrestrial cyanobacterium Nostoc commune was grown under defined UV irradiation. Proteome changes were monitored in the membrane and the cytosolic and the extracellular fractions. Tools were developed to separate stress-triggered from growth stage-dependent changes. UV-B changed the relative cellular concentration of 493 out of 1,350 protein spots at least by a factor of three, rendering the UV-B stimulon of N. commune the most complex one described so far. It comprises two different parts: an early shock response influencing 214 proteins and a late acclimation response involving 279 proteins. The shock response comprised many membrane or membrane-associated proteins, whereas the acclimation response mainly changed cytosolic proteins. Most of the shock-induced changes were transient and did not overlap with the acclimation response. In the extracellular fraction, UV irradiation induced superoxide dismutase and the water stress protein. In total, 27 intracellular, UV-B-induced proteins were partially sequenced by electrospray ionization tandem mass spectrometry. Three functional classes were identified: proteins involved in lipid metabolism, in carbohydrate metabolism and in regulatory pathways. About 50% of the sequenced proteins were homologous to cyanobacterial database entries with un-known function. Interestingly, all of these proteins belong to the UV-B acclimation response. We conclude that the UV-B shock response and the UV-B acclimation response represent two completely different and remarkably complex strategies of N. commune to protect itself against UV-B radiation in its natural environment.

Primary and secondary metabolism, and post-translational protein modifications, as portrayed by proteomic analysis of Streptomyces coelicolor

The newly sequenced genome of Streptomyces coelicolor is estimated to encode 7825 theoretical proteins. We have mapped approximately 10% of the theoretical proteome experimentally using two-dimensional gel electrophoresis and matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry. Products from 770 different genes were identified, and the types of proteins represented are discussed in terms of their annotated functional classes. An average of 1.2 proteins per gene was observed, indicating extensive post-translational regulation. Examples of modification by N-acetylation, adenylylation and proteolytic processing were characterized using mass spectrometry. Proteins from both primary and certain secondary metabolic pathways are strongly represented on the map, and a number of these enzymes were identified at more than one two-dimensional gel location. Post-translational modification mechanisms may therefore play a significant role in the regulation of these pathways. Unexpectedly, one of the enzymes for synthesis of the actinorhodin polyketide antibiotic appears to be located outside the cytoplasmic compartment, within the cell wall matrix. Of 20 gene clusters encoding enzymes characteristic of secondary metabolism, eight are represented on the proteome map, including three that specify the production of novel metabolites. This information will be valuable in the characterization of the new metabolites.

The polyphosphate kinase plays a negative role in the control of antibiotic production in Streptomyces lividans

The polyphosphate kinase gene (ppk) from Streptomyces lividans, which encodes a 774-amino-acid protein (86.4 kDa) showing extensive homology to other bacterial polyphosphate kinases, was cloned by polymerase chain reaction (PCR) using oligonucleotides derived from the putative ppk gene from the closely related species, Streptomyces coelicolor. In vitro, the purified Ppk was shown to be able to synthesize the polyphosphate [poly(P)] from ATP (forward reaction) as well as to regenerate ATP from the poly(P) in the presence of an excess of ADP (reverse reaction). In conditions of poly(P) synthesis, a phosphoenzyme intermediate was detected, indicating an autophosphorylation of the enzyme in the presence of ATP. The ppk gene was shown to be transcribed as a monocistronic mRNA from a unique promoter. Its transcription was only detectable during the late stages of growth in liquid minimal medium. A mutant strain interrupted for ppk was characterized by increased production of the antibiotic actinorhodin on rich R2YE solid medium (0.37 mM KH2PO4 added). This production was enhanced on the same medium with no KH2PO4 added but was completely abolished by the addition of 1.48 mM KH2PO4. In the ppk mutant strain, this increased production correlated with enhanced transcription of actII-ORF4 encoding the specific activator of the actinorhodin pathway. In that strain, the transcription of redD and cdaR, encoding the specific activators of the undecylprodigiosin and calcium-dependent antibiotic biosynthetic pathways, respectively, was also increased but to a lesser extent. The enhanced expression of these regulators did not seem to be related to increased relA-dependent ppGpp synthesis, as no obvious increase in relA expression was observed in the ppk mutant strain. These results suggested that the negative regulatory effect exerted by Ppk on antibiotic biosynthesis was most probably caused by the repression exerted by the endogenous Pi, resulting from the hydrolysis of the poly(P) synthesized by Ppk, on the expression of the specific activators of the antibiotic biosynthetic pathways.

Genome resource utilization during prokaryotic development

The distributions of synthesis rates of expressed proteins in a liquid batch culture of the prokaryote S. coelicolor during 3 days' growth have been analyzed by using a law governing the relation between the synthesis rates and the corresponding ranks in a list of rates (the so-called simplified canonical law, scl), which we have found previously to characterize the distribution of prokaryotic protein expression. The scl remains valid throughout development and the two parameters of the distribution, q and r, evolve in a highly characteristic and revealing way. q is a measure of the degree to which available genomic resources are used, in the sense of exploiting their potential diversity. The passage from one developmental phase to another is marked by a sharp peak in q, as these resources are fully mobilized to deal with a crisis (i.e., exhaustion of the habitual food supply). This is followed by an even more pronounced trough, as the organism briefly focuses its resources on synthesizing just those proteins most essential for survival, especially those hitherto unavailable and needed for metabolizing the new nutrient source. The parameter r indicates redundancy among the most abundantly expressed proteins: higher r corresponds to more diversity; i.e., less duplication of function, hence less robustness. This parameter is relatively steady throughout the development of the culture, except for a pronounced peak during the developmental phase transition. This corresponds to the "emergency mode" characterized by extremely low q, during which a minimum repertoire of proteins is expressed.

Roles of aconitase in growth, metabolism, and morphological differentiation of Streptomyces coelicolor

The studies of aconitase presented here, along with those of citrate synthase (P. H. Viollier, W. Minas, G. E. Dale, M. Folcher, and C. J. Thompson, J. Bacteriol. 183:3184-3192, 2001), were undertaken to investigate the role of the tricarboxylic acid (TCA) cycle in Streptomyces coelicolor development. A single aconitase activity (AcoA) was detected in protein extracts of cultures during column purification. The deduced amino acid sequence of the cloned acoA gene constituted the N-terminal sequence of semipurified AcoA and was homologous to bacterial A-type aconitases and bifunctional eukaryotic aconitases (iron regulatory proteins). The fact that an acoA disruption mutant (BZ4) did not grow on minimal glucose media in the absence of glutamate confirmed that this gene encoded the primary vegetative aconitase catalyzing flux through the TCA cycle. On glucose-based complete medium, BZ4 had defects in growth, antibiotic biosynthesis, and aerial hypha formation, partially due to medium acidification and accumulation of citrate. The inhibitory effects of acids and citrate on BZ4 were partly suppressed by buffer or by introducing a citrate synthase mutation. However, the fact that growth of an acoA citA mutant remained impaired, even on a nonacidogenic carbon source, suggested alternative functions of AcoA. Immunoblots revealed that AcoA was present primarily during substrate mycelial growth on solid medium. Transcription of acoA was limited to the early growth phase in liquid cultures from a start site mapped in vitro and in vivo.

Role of acid metabolism in Streptomyces coelicolor morphological differentiation and antibiotic biosynthesis

Studies of citrate synthase (CitA) were carried out to investigate its role in morphological development and biosynthesis of antibiotics in Streptomyces coelicolor. Purification of CitA, the major vegetative enzyme activity, allowed characterization of its kinetic properties. The apparent K(m) values of CitA for acetyl coenzyme A (acetyl-CoA) (32 microM) and oxaloacetate (17 microM) were similar to those of citrate synthases from other gram-positive bacteria and eukaryotes. CitA was not strongly inhibited by various allosteric feedback inhibitors (NAD(+), NADH, ATP, ADP, isocitrate, or alpha-ketoglutarate). The corresponding gene (citA) was cloned and sequenced, allowing construction of a citA mutant (BZ2). BZ2 was a glutamate auxotroph, indicating that citA encoded the major citrate synthase allowing flow of acetyl-CoA into the tricarboxylic acid (TCA) cycle. Interruption of aerobic TCA cycle-based metabolism resulted in acidification of the medium and defects in morphological differentiation and antibiotic biosynthesis. These developmental defects of the citA mutant were in part due to a glucose-dependent medium acidification that was also exhibited by some other bald mutants. Unlike other acidogenic bald strains, citA and bldJ mutants were able to produce aerial mycelia and pigments when the medium was buffered sufficiently to maintain neutrality. Extracellular complementation studies suggested that citA defines a new stage of the Streptomyces developmental cascade.

A connection between stress and development in the multicellular prokaryote Streptomyces coelicolor A3(2)

Morphological changes leading to aerial mycelium formation and sporulation in the mycelial bacterium Streptomyces coelicolor rely on establishing distinct patterns of gene expression in separate regions of the colony. sigmaH was identified previously as one of three paralogous sigma factors associated with stress responses in S. coelicolor. Here, we show that sigH and the upstream gene prsH (encoding a putative antisigma factor of sigmaH) form an operon transcribed from two developmentally regulated promoters, sigHp1 and sigHp2. While sigHp1 activity is confined to the early phase of growth, transcription of sigHp2 is dramatically induced at the time of aerial hyphae formation. Localization of sigHp2 activity using a transcriptional fusion to the green fluorescent protein reporter gene (sigHp2-egfp) showed that sigHp2 transcription is spatially restricted to sporulating aerial hyphae in wild-type S. coelicolor. However, analysis of mutants unable to form aerial hyphae (bld mutants) showed that sigHp2 transcription and sigmaH protein levels are dramatically upregulated in a bldD mutant, and that the sigHp2-egfp fusion was expressed ectopically in the substrate mycelium in the bldD background. Finally, a protein possessing sigHp2 promoter-binding activity was purified to homogeneity from crude mycelial extracts of S. coelicolor and shown to be BldD. The BldD binding site in the sigHp2 promoter was defined by DNase I footprinting. These data show that expression of sigmaH is subject to temporal and spatial regulation during colony development, that this tissue-specific regulation is mediated directly by the developmental transcription factor BldD and suggest that stress and developmental programmes may be intimately connected in Streptomyces morphogenesis.

Proteomic analysis of the bacterial cell cycle

A global approach was used to analyze protein synthesis and stability during the cell cycle of the bacterium Caulobacter crescentus. Approximately one-fourth (979) of the estimated C. crescentus gene products were detected by two-dimensional gel electrophoresis, 144 of which showed differential cell cycle expression patterns. Eighty-one of these proteins were identified by mass spectrometry and were assigned to a wide variety of functional groups. Pattern analysis revealed that coexpression groups were functionally clustered. A total of 48 proteins were rapidly degraded in the course of one cell cycle. More than half of these unstable proteins were also found to be synthesized in a cell cycle-dependent manner, establishing a strong correlation between rapid protein turnover and the periodicity of the bacterial cell cycle. This is, to our knowledge, the first evidence for a global role of proteolysis in bacterial cell cycle control.

Developmental control of stress stimulons in Streptomyces coelicolor revealed by statistical analyses of global gene expression patterns

Stress-induced regulatory networks coordinated with a procaryotic developmental program were revealed by two-dimensional gel analyses of global gene expression. Four developmental stages were identified by their distinctive protein synthesis patterns using principal component analysis. Statistical analyses focused on five stress stimulons (induced by heat, cold, salt, ethanol, or antibiotic shock) and their synthesis during development. Unlike other bacteria, for which various stresses induce expression of similar sets of protein spots, in Streptomyces coelicolor heat, salt, and ethanol stimulons were composed of independent sets of proteins. This suggested independent control by different physiological stress signals and their corresponding regulatory systems. These stress proteins were also under developmental control. Cluster analysis of stress protein synthesis profiles identified 10 different developmental patterns or "synexpression groups." Proteins induced by cold, heat, or salt shock were enriched in three developmental synexpression groups. In addition, certain proteins belonging to the heat and salt shock stimulons were coregulated during development. Thus, stress regulatory systems controlling these stimulons were implicated as integral parts of the developmental program. This correlation suggested that thermal shock and salt shock stress response regulatory systems either allow the cell to adapt to stresses associated with development or directly control the developmental program.

Principal components analysis to summarize microarray experiments: application to sporulation time series

A series of microarray experiments produces observations of differential expression for thousands of genes across multiple conditions. It is often not clear whether a set of experiments are measuring fundamentally different gene expression states or are measuring similar states created through different mechanisms. It is useful, therefore, to define a core set of independent features for the expression states that allow them to be compared directly. Principal components analysis (PCA) is a statistical technique for determining the key variables in a multidimensional data set that explain the differences in the observations, and can be used to simplify the analysis and visualization of multidimensional data sets. We show that application of PCA to expression data (where the experimental conditions are the variables, and the gene expression measurements are the observations) allows us to summarize the ways in which gene responses vary under different conditions. Examination of the components also provides insight into the underlying factors that are measured in the experiments. We applied PCA to the publicly released yeast sporulation data set (Chu et al. 1998). In that work, 7 different measurements of gene expression were made over time. PCA on the time-points suggests that much of the observed variability in the experiment can be summarized in just 2 components--i.e. 2 variables capture most of the information. These components appear to represent (1) overall induction level and (2) change in induction level over time. We also examined the clusters proposed in the original paper, and show how they are manifested in principal component space. Our results are available on the internet at http:¿www.smi.stanford.edu/project/helix/PCArray .

Strategies for isolation of in vivo expressed genes from bacteria

The discovery and characterization of genes specifically induced in vivo upon infection and/or at a specific stage of the infection will be the next phase in studying bacterial virulence at the molecular level. Genes isolated are most likely to encode virulence-associated factors or products essential for survival, bacterial cell division and multiplication in situ. Identification of these genes is expected to provide new means to prevent infection, new targets for, antimicrobial therapy, as well as new insights into the infection process. Analysis of genes and their sequences initially discovered as in vivo induced may now be revealed by functional and comparative genomics. The new field of virulence genomics and their clustering as pathogenicity islands makes feasible their in-depth analysis. Application of new technologies such as in vivo expression technologies, signature-tagged mutagenesis, differential fluorescence induction, differential display using polymerase chain reaction coupled to bacterial genomics is expected to provide a strong basis for studying in vivo induced genes, and a better understanding of bacterial pathogenicity in vivo. This review presents technologies for characterization of genes expressed in vivo.

Effects of renovascular hypertension on myocardial protein patterns: analysis by computer-assisted two-dimensional gel electrophoresis

Hypertensive heart disease caused by renovascular hypertension reflects the response of the heart to an increased afterload and neurohormonal stimulation. We hypothesized that in this condition the composition of the myocardial proteins of rats was altered. To identify yet unknown quantitative and qualitative differences in myocardial proteins in renovascular hypertensive heart disease, we analyzed protein patterns by computer-assisted two-dimensional polyacrylamide large gel electrophoresis. Renovascular hypertension was induced by placing a silver clip on the left renal artery in 9-week-old rat siblings. Sham-operated animals served as controls. Systolic blood pressure (197 +/- 19 mm Hg) and heart/body weight ratios (0.36 +/- 0.04%) were significantly increased in the hypertensive animals. Twenty protein patterns from the left ventricle of five hypertensive and five control rats were compared. The molecular mass and isoelectric point (pI) of proteins spots ranging from 13 to 100 kDa and from 4.5 to 8.5, respectively, were determined using marker proteins. In total, 761 +/- 88 protein spots were resolved in all twenty gels. For the quantitative data analysis a univariate (Mann-Whitney test) as well as a multivariate statistical approach (correspondence analysis) were applied. Only one myocardial protein spot (molecular mass = 41.3 kDa; pI = 6.3) was decreased by more than twofold (p < 0.05) in renovascular hypertension. The vast majority of spots did not indicate a significant alteration of intensity. Left ventricular hypertrophy in early renovascular hypertension induces a form of myocardial hypertrophy that conserves the naturally occurring protein expression pattern.

Adaptive classification of two-dimensional gel electrophoretic spot patterns by neural networks and cluster analysis

The interpretation of two-dimensional gel electrophoresis spot profiles can be facilitated by statistical and machine learning programs. Two different approaches to classification of spot profiles - cluster analysis and neural networks - are discussed. Neural networks for two different model patterns were designed and an algorithm for training of the net for the classification was developed. It was shown that the performance of neural networks is higher compared to cluster and principal component analysis. The possibility of combining both approaches into one process can increase reliability and speed of classification. Artificially created training sets with added random noise can be used for network training. The analysis was applied on the Streptomyces coelicolor developmental two-dimensional (2-D) gel database.

Proteome research: complementarity and limitations with respect to the RNA and DNA worlds

A methodological overview of proteome analysis is provided along with details of efforts to achieve high-throughput screening (HTS) of protein samples derived from two-dimensional electrophoresis gels. For both previously sequenced organisms and those lacking significant DNA sequence information, mass spectrometry has a key role to play in achieving HTS. Prototype robotics designed to conduct appropriate chemistries and deliver 700-1000 protein (genes) per day to batteries of mass spectrometers or liquid chromatography (LC)-based analyses are well advanced, as are efforts to produce high density gridded arrays containing > 1000 proteins on a single matrix assisted laser desorption ionisation/time-of-flight (MALDI-TOF) sample stage. High sensitivity HTS of proteins is proposed by employing principally mass spectrometry in an hierarchical manner: (i) MALDI-TOF-mass spectrometry (MS) on at least 1000 proteins per day; (ii) electrospray ionisation (ESI)/MS/MS for analysis of peptides with respect to predicted fragmentation patterns or by sequence tagging; and (iii) ESI/MS/MS for peptide sequencing. Genomic sequences when complemented with information derived from hybridisation assays and proteome analysis may herald in a new era of holistic cellular biology. The current preoccupation with the absolute quantity of gene-product (RNA and/or protein) should move backstage with respect to more molecularly relevant parameters, such as: molecular half-life; synthesis rate; functional competence (presence or absence of mutations); reaction kinetics; the influence of individual gene-products on biochemical flux; the influence of the environment, cell-cycle, stress and disease on gene-products; and the collective roles of multigenic and epigenetic phenomena governing cellular processes. Proteome analysis is demonstrated as being capable of proceeding independently of DNA sequence information and aiding in genomic annotation. Its ability to confirm the existence of gene-products predicted from DNA sequence is a major contribution to genomic science. The workings of software engines necessary to achieve large-scale proteome analysis are outlined, along with trends towards miniaturisation, analyte concentration and protein detection independent of staining technologies. A challenge for proteome analysis into the future will be to reduce its dependence on two-dimensional (2-D) gel electrophoresis as the preferred method of separating complex mixtures of cellular proteins. Nonetheless, proteome analysis already represents a means of efficiently complementing differential display, high density expression arrays, expressed sequence tags, direct or subtractive hybridisation, chromosomal linkage studies and nucleic acid sequencing as a problem solving tool in molecular biology.