The proteome of dissimilatory metal-reducing microorganism Geobacter sulfurreducens under various growth conditions

The proteome of Geobacter sulfurreducens, a model for the Geobacter species that predominate in many Fe(III)-reducing subsurface environments, was characterized with ultra high-pressure liquid chromatography and mass spectrometry using accurate mass and time (AMT) tags as well as with more traditional two-dimensional polyacrylamide gel electrophoresis (2-D PAGE). Cells were grown under six different growth conditions in order to enhance the potential that a wide range of genes would be expressed. The AMT tag approach was able to identify a much greater number of proteins than could be detected with the 2-D PAGE approach. With the AMT approach over 3,000 gene products were identified, representing about 90% of the total predicted gene products in the genome. A high proportion of predicted proteins in most protein role categories were detected; the highest number of proteins was identified in the hypothetical protein role category. Furthermore, 91 c-type cytochromes of 111 predicted genes in the G. sulfurreducens genome were identified. Differences in the abundance of cytochromes and other proteins under different growth conditions provided information for future functional analysis of these proteins. These results demonstrate that a high percentage of the predicted proteins in the G. sulfurreducens genome are produced and that the AMT tag approach provides a rapid method for comparing differential expression of proteins under different growth conditions in this organism.     

Quantitative proteomics of intracellular Porphyromonas gingivalis

Whole-cell quantitative proteomic analyses were conducted to investigate the change from an extracellular to intracellular lifestyle for Porphyromonas gingivalis, a Gram-negative intracellular pathogen associated with periodontal disease. Global protein abundance data for P. gingivalis strain ATCC 33277 internalized for 18 h within human gingival epithelial cells and controls exposed to gingival cell culture medium were obtained at sufficient coverage to provide strong evidence that these changes are profound. A total of 385 proteins were overexpressed in internalized P. gingivalis relative to controls; 240 proteins were shown to be underexpressed. This represented in total about 28% of the protein encoding ORFs annotated for this organism, and slightly less than half of the proteins that were observed experimentally. Production of several proteases, including the classical virulence factors RgpA, RgpB, and Kgp, was decreased. A separate validation study was carried out in which a 16-fold dilution of the P. gingivalis proteome was compared to the undiluted sample in order to assess the quantitative false negative rate (all ratios truly alternative). Truly null (no change) abundance ratios from technical replicates were used to assess the rate of quantitative false positives over the entire proteome. A global comparison between the direction of abundance change observed and previously published bioinformatic gene pair predictions for P. gingivalis will assist with future studies of P. gingivalis gene regulation and operon prediction.     

Characterisation of the Manduca sexta sperm proteome: Genetic novelty underlying sperm composition in Lepidoptera

The application of mass spectrometry based proteomics to sperm biology has greatly accelerated progress in understanding the molecular composition and function of spermatozoa. To date, these approaches have been largely restricted to model organisms, all of which produce a single sperm morph capable of oocyte fertilisation. Here we apply high-throughput mass spectrometry proteomic analysis to characterise sperm composition in Manduca sexta, the tobacco hornworm moth, which produce heteromorphic sperm, including one fertilisation competent (eupyrene) and one incompetent (apyrene) sperm type. This resulted in the high confidence identification of 896 proteins from a co-mixed sample of both sperm types, of which 167 are encoded by genes with strict one-to-one orthology in Drosophila melanogaster. Importantly, over half (55.1%) of these orthologous proteins have previously been identified in the D. melanogaster sperm proteome and exhibit significant conservation in quantitative protein abundance in sperm between the two species. Despite the complex nature of gene expression across spermatogenic stages, a significant correlation was also observed between sperm protein abundance and testis gene expression. Lepidopteran-specific sperm proteins (e.g., proteins with no homology to proteins in non-Lepidopteran taxa) were present in significantly greater abundance on average than those with homology outside the Lepidoptera. Given the disproportionate production of apyrene sperm (96% of all mature sperm in Manduca) relative to eupyrene sperm, these evolutionarily novel and highly abundant proteins are candidates for possessing apyrene-specific functions. Lastly, comparative genomic analyses of testis-expressed, ovary-expressed and sperm genes identified a concentration of novel sperm proteins shared amongst Lepidoptera of potential relevance to the evolutionary origin of heteromorphic spermatogenesis. As the first published Lepidopteran sperm proteome, this whole-cell proteomic characterisation will facilitate future evolutionary genetic and developmental studies of heteromorphic sperm production and parasperm function. Furthermore, the analyses presented here provide useful annotation information regarding sex-biased gene expression, novel Lepidopteran genes and gene function in the male gamete to complement the newly sequenced and annotated Manduca genome.     

A survey of the Mycoplasma genitalium genome by using random sequencing.

A total of 508 random clones from five Mycoplasma genitalium genomic libraries were partially sequenced and analyzed. This resulted in the identification of 291 unique contigs. Sequence information from these clones (100,993 nucleotides), representing approximately 17% of this pathogen's genome, was analyzed by comparison to the DNA and protein sequence data bases. The frequency with which clones could be identified, by virtue of possessing homology to another data base entry, was 46%. Sequence analysis indicated the following. (i) The M. genitalium genome contains many genes involved in various metabolic processes. (ii) Repetitive DNA may comprise as much as 4% of this genome. (iii) The MgPa adhesin gene may be the result of horizontal transfer from an unknown origin. (iv) Not all dinucleotide pairs are present in this genome at the expected frequency. (v) This genome potentially encodes approximately 390 proteins and makes very efficient use of its limited amount of DNA. In addition, this study allowed us to estimate the number of genes involved with various cellular functions.     

Target selection and deselection at the Berkeley Structural Genomics Center

At the Berkeley Structural Genomics Center (BSGC), our goal is to obtain a near-complete structural complement of proteins in the minimal organisms Mycoplasma genitalium and M. pneumoniae, two closely related pathogens. Current targets for structure determination have been selected in six major stages, starting with those predicted to be most tractable to high throughput study and likely to yield new structural information. We report on the process used to select these proteins, as well as our target deselection procedure. Target deselection reduces experimental effort by eliminating targets similar to those recently solved by the structural biology community or other centers. We measure the impact of the 69 structures solved at the BSGC as of July 2004 on structure prediction coverage of the M. pneumoniae and M. genitalium proteomes. The number of Mycoplasma proteins for which the fold could first be reliably assigned based on structures solved at the BSGC (24 M. pneumoniae and 21 M. genitalium) is approximately 25% of the total resulting from work at all structural genomics centers and the worldwide structural biology community (94 M. pneumoniae and 86 M. genitalium) during the same period. As the number of structures contributed by the BSGC during that period is less than 1% of the total worldwide output, the benefits of a focused target selection strategy are apparent. If the structures of all current targets were solved, the percentage of M. pneumoniae proteins for which folds could be reliably assigned would increase from approximately 57% (391 of 687) at present to around 80% (550 of 687), and the percentage of the proteome that could be accurately modeled would increase from around 37% (254 of 687) to about 64% (438 of 687). In M. genitalium, the percentage of the proteome that could be structurally annotated based on structures of our remaining targets would rise from 72% (348 of 486) to around 76% (371 of 486), with the percentage of accurately modeled proteins would rise from 50% (243 of 486) to 58% (283 of 486). Sequences and data on experimental progress on our targets are available in the public databases TargetDB and PEPCdb.     

Characterization of the human myocardial proteome in inflammatory dilated cardiomyopathy by label-free quantitative shotgun proteomics of heart biopsies

Dilated cardiomyopathy (DCM) is characterized by contractile dysfunction leading to heart failure. The molecular changes in the human heart associated with this disease have so far mostly been addressed at the gene expression level and only a few studies have analyzed global changes in the myocardial proteome. Therefore, our objective was to investigate the changes in the proteome in patients suffering from inflammatory DCM (iDCM) and chronic viral infection by a comprehensive quantitative approach. Comparative proteomic profiling of endomyocardial biopsies (EMB) from 10 patients with iDCM (left ventricular ejection fraction <40%, symptoms of heart failure) as well as 7 controls with normal left ventricular function and histology was performed by label-free proteome analysis (LC-MS/MS). Mass spectrometric data were analyzed with the Rosetta Elucidator software package. The analysis covered a total of 485 proteins. Among the 174 proteins displaying at least a 1.3-fold change in intensity (p < 0.05), major changes were observed for mitochondrial and cytoskeletal proteins, but also metabolic pathways were affected in iDCM compared to controls. In iDCM patients, we observed decreased levels of mitochondrial proteins involved in oxidative phosphorylation and tricarboxylic acid cycle. Furthermore, deregulation of proteins of carbohydrate metabolism, the actin cytoskeleton, and extracellular matrix remodeling was observed. Proteomic observations were confirmed by gene expression data and immunohistochemistry (e.g. collagen I and VI). This study demonstrates that label-free, mass spectrometry-centered approaches can identify disease dependent alterations in the proteome from small tissue samples such as endomyocardial biopsies. Thus, this technique might allow better disease characterization and may be a valuable tool in potential clinical proteomic studies.     

Proteome cataloging and relative quantification of Francisella tularensis tularensis strain Schu4 in 2D PAGE using preparative isoelectric focusing

The protein complement of whole cell extract of the bacterium Francisella tularensis tularensis was analyzed using two-dimensional electrophoresis with preparative isoelectric focusing in the first dimension. The format allows the quantification of relative protein abundance by linear densitometry and extends the potential dynamic range of protein detection by as much as an order of magnitude. The relative abundance and rank order of 136 unique proteins identified in F. tularensis tularensis were established. It is estimated that 16% of the moderately to highly expressed proteins and 8% of all predicted non-pseudogenes were identified by comparing this proteome information with the relative abundance of mRNA as measured by microarray. This rank-ordered proteome list provides an important resource for understanding the pathogenesis of F. tularensis and is a tool for the selection and design of synthetic vaccines. This method represents a useful additional technique to improve whole proteome analyses of simple organisms.     

The plasticity of global proteome and genome expression analyzed in closely related W3110 and MG1655 strains of a well-studied model organism, Escherichia coli-K12

The use of Escherichia coli as a model organism has provided a great deal of basic information in biomolecular sciences. Examining trait differences among closely related strains of the same species addresses a fundamental biological question: how much diversity is there at the single species level? The main aim of our research was to identify significant differences in the activities of groups of genes between two laboratory strains of an organism closely related in genome structure. We demonstrate that despite strict and controlled growth conditions, there is high plasticity in the global proteome and genome expression in two closely related E. coli K12 sub-strains (W3110 and MG1655), which differ insignificantly in genome structure. The growth patterns of these two sub-strains were very similar in a well-equipped bioreactor, and their genome structures were shown to be almost identical by DNA microarray. However, detailed profiling of protein and gene expression by 2-dimensional gel electrophoresis and microarray analysis showed many differentially expressed genes and proteins, combinations of which were highly correlated. The differentially regulated genes and proteins belonged to the following functional categories: genes regulated by sigma subunit of RNA polymerase (RpoS), enterobactin-related genes, and genes involved in central metabolism. Genes involved in central cell metabolism - the glycolysis pathway, the tricarboxylic acid cycle and the glyoxylate bypass - were differentially regulated at both the mRNA and proteome levels. The strains differ significantly in central metabolism and thus in the generation of precursor metabolites and energy. This high plasticity probably represents a universal feature of metabolic activities in closely related species, and has the potential to reveal differences in regulatory networks. We suggest that unless care is taken in the choice of strains for any validating experiment, the results might be misleading.     

Regular patterns for proteome-wide distribution of protein abundance across species

A proteome of the bio-entity, including cell, tissue, organ, and organism, consists of proteins of diverse abundance. The principle that determines the abundance of different proteins in a proteome is of fundamental significance for an understanding of the building blocks of the bio-entity. Here, we report three regular patterns in the proteome-wide distribution of protein abundance across species such as human, mouse, fly, worm, yeast, and bacteria: in most cases, protein abundance is positively correlated with the protein's origination time or sequence conservation during evolution; it is negatively correlated with the protein's domain number and positively correlated with domain coverage in protein structure, and the correlations became stronger during the course of evolution; protein abundance can be further stratified by the function of the protein, whereby proteins that act on material conversion and transportation (mass category) are more abundant than those that act on information modulation (information category). Thus, protein abundance is intrinsically related to the protein's inherent characters of evolution, structure, and function.     

A high-quality catalog of the Drosophila melanogaster proteome

Understanding how proteins and their complex interaction networks convert the genomic information into a dynamic living organism is a fundamental challenge in biological sciences. As an important step towards understanding the systems biology of a complex eukaryote, we cataloged 63% of the predicted Drosophila melanogaster proteome by detecting 9,124 proteins from 498,000 redundant and 72,281 distinct peptide identifications. This unprecedented high proteome coverage for a complex eukaryote was achieved by combining sample diversity, multidimensional biochemical fractionation and analysis-driven experimentation feedback loops, whereby data collection is guided by statistical analysis of prior data. We show that high-quality proteomics data provide crucial information to amend genome annotation and to confirm many predicted gene models. We also present experimentally identified proteotypic peptides matching approximately 50% of D. melanogaster gene models. This library of proteotypic peptides should enable fast, targeted and quantitative proteomic studies to elucidate the systems biology of this model organism.     

mgpB and mgpC sequence diversity in Mycoplasma genitalium is generated by segmental reciprocal recombination with repetitive chromosomal sequences

Mycoplasma genitalium is associated with sexually transmitted infections in men and women that, if untreated, can persist, suggesting that mechanism(s) exist to facilitate immune evasion. Approximately 4% of the limited M. genitalium genome contains repeat sequences termed MgPar regions that have homology to mgpB and mgpC, which encode antigenic proteins associated with attachment. We have previously shown that mgpB sequences vary within a single strain of M. genitalium in a pattern consistent with recombination between mgpB and MgPar sequences (Iverson-Cabral et al.). In the current study, we show that mgpC heterogeneity similarly occurs within the type strain, G-37(T), cultured in vitro and among cervical specimens collected from a persistently infected woman. In all cases, alternative mgpC sequences are indicative of recombination with MgPar regions. Additionally, the isolation of single-colony M. genitalium clonal variants containing alternative mgpB or mgpC sequences allowed us to demonstrate that mgpB and mgpC heterogeneity is associated with corresponding changes within donor MgPar regions, consistent with reciprocal recombination. Better-defined systems of antigenic variation are typically mediated by unidirectional gene conversion, so the generation of genetic diversity observed in M. genitalium by the mutual exchange of sequences makes this organism unique among bacterial pathogens.     

Mycoplasma genitalium: an efficient strategy to generate genetic variation from a minimal genome

Mycoplasma genitalium, a human pathogen associated with sexually transmitted diseases, is unique in that it has smallest genome of any known free-living organism. The goal of this study was to investigate if and how M. genitalium uses a minimal genome to generate genetic variations. We analysed the sequence variability of the third gene (MG192 or mgpC) of the M. genitalium MgPa adhesion operon, demonstrated that the MG192 gene is highly variable among and within M. genitalium strains in vitro and in vivo, and identified MG192 sequence shifts in the course of in vitro passage of the G37 type strain and in sequential specimens from an M. genitalium-infected patient. In order to establish the origin of the MG192 variants, we examined nine genomic loci containing partial copies of the MgPa operon, known as MgPar sequences. Our analysis suggests that the MG192 sequence variation is achieved by recombination between the MG192 expression site and MgPar sequences via gene cross-over and, possibly, also by gene conversion. It appears plausible that M. genitalium has the ability to generate unlimited variants from its minimized genome, which presumably allows the organism to adapt to diverse environments and/or to evade host defences by antigenic variation.     

Temporal profiling of the chromatin proteome reveals system-wide responses to replication inhibition

Although the replication, expression, and maintenance of DNA are well-studied processes, the way that they are coordinated is poorly understood. Here, we report an analysis of the changing association of proteins with chromatin (the chromatin proteome) during progression through interphase of the cell cycle. Sperm nuclei were incubated in Xenopus egg extracts, and chromatin-associated proteins were analyzed by mass spectrometry at different times. Approximately 75% of the proteins varied in abundance on chromatin by more than 15%, suggesting that the chromatin proteome is highly dynamic. Proteins were then assigned to one of 12 different clusters on the basis of their pattern of chromatin association. Each cluster contained functional groups of proteins involved in different nuclear processes related to progression through interphase. We also blocked DNA replication by inhibiting either replication licensing or S phase CDK activity. This revealed an unexpectedly broad system-wide effect on the chromatin proteome, indicating that the response to replication inhibition extends to many other functional modules in addition to the replication machinery. Several proteins that respond to replication inhibition (including nuclear pore proteins) coprecipitated with the Mcm2-7 licensing complex on chromatin, suggesting that Mcm2-7 play a central role in coordinating nuclear structure with DNA replication.     

Absolute quantification of microbial proteomes at different states by directed mass spectrometry

Over the past decade, liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) has evolved into the main proteome discovery technology. Up to several thousand proteins can now be reliably identified from a sample and the relative abundance of the identified proteins can be determined across samples. However, the remeasurement of substantially similar proteomes, for example those generated by perturbation experiments in systems biology, at high reproducibility and throughput remains challenging. Here, we apply a directed MS strategy to detect and quantify sets of pre‐determined peptides in tryptic digests of cells of the human pathogen Leptospira interrogans at 25 different states. We show that in a single LC–MS/MS experiment around 5000 peptides, covering 1680 L. interrogans proteins, can be consistently detected and their absolute expression levels estimated, revealing new insights about the proteome changes involved in pathogenic progression and antibiotic defense of L. interrogans. This is the first study that describes the absolute quantitative behavior of any proteome over multiple states, and represents the most comprehensive proteome abundance pattern comparison for any organism to date.     

生殖支原体脂质相关膜蛋白激活核因子κB诱导人单核细胞表达前炎症细胞因子及凋亡

为了解生殖支原体(Mg)潜在的致病性及其脂质相关膜蛋白(LAMPs)诱导人单核细胞(THP-1)凋亡及表达前炎症细胞因子(CKs)的分子机制,用Mg提取的LAMPs刺激THP-1细胞,以ELISA法和RT-PCR方法分析CKs产生和其mRNA的表达。不同试实验组的细胞经AnnexinV联合PI染色后通过流式细胞仪检测细胞凋亡。采用EMSA方法检测LAMPs处理的THP-1细胞中核转录因子kappaB(NF-κB)的激活,并分析NF-κB抑制剂二硫代氨基甲酸吡咯烷(pyrrolidine dithiocoarbamate,PDTC)对LAMPs处理的THP-1细胞产生CKs的量和其mRNA表达及细胞凋亡的影响。LAMPs能以时间和剂量依赖方式刺激THP-1细胞产生TNF-α、IL-1β和IL-6,且能激活NF-κB诱导THP-1细胞表达CKs的mRNA及发生凋亡,PDTC能显著抑制CKs的mRNA表达水平和细胞凋亡。由于LAMPs能激活NF-κB诱导THP-1细胞表达CKs及产生细胞凋亡,因而可能是一个重要的致病因素。