Expression of PTPH1, a rat protein tyrosine phosphatase, is restricted to the derivatives of a specific diencephalic segment.

Studies to date have identified only a few proteins that are expressed in a segment-specific manner within the mammalian brain. Here we report that a nonreceptor protein tyrosine phosphatase, PTPH1, is selectively expressed in the adult thalamus. Expression of PTPH1 mRNA is detected in most, but not all, thalamic nuclei. Nuclei that are derived embryonically from the dorsal thalamus and project to the neocortex express this gene, whereas those derived from the ventral thalamus do not. PTPH1 mRNA expression is also restricted to the dorsal thalamus during development and, thus, can serve as a specific marker for the dorsal thalamic nuclei. Since the subcellular localization of PTPH1 protein is not known, its functional role is not clear. However, the restriction of its expression to the thalamic nuclei that have thalamocortical connections suggests that PTPH1 may play a role in the maintenance of these connections or in determining the physiological properties of thalamic relay nuclei.

Identification, purification, and characterization of a zyxin-related protein that binds the focal adhesion and microfilament protein VASP (vasodilator-stimulated phosphoprotein).

VASP (vasodilator-stimulated phosphoprotein), an established substrate of cAMP- and cGMP-dependent protein kinases in vitro and in living cells, is associated with focal adhesions, microfilaments, and membrane regions of high dynamic activity. Here, the identification of an 83-kDa protein (p83) that specifically binds VASP in blot overlays of different cell homogenates is reported. With VASP overlays as a detection tool, p83 was purified from porcine platelets and used to generate monospecific polyclonal antibodies. VASP binding to purified p83 in solid-phase binding assays and the closely matching subcellular localization in double-label immunofluorescence analyses demonstrated that both proteins also directly interact as native proteins in vitro and possibly in living cells. The subcellular distribution, the biochemical properties, as well as microsequencing data revealed that porcine platelet p83 is related to chicken gizzard zyxin and most likely represents the mammalian equivalent of the chicken protein. The VASP-p83 interaction may contribute to the targeting of VASP to focal adhesions, microfilaments, and dynamic membrane regions. Together with our recent identification of VASP as a natural ligand of the profilin poly-(L-proline) binding site, our present results suggest that, by linking profilin to zyxin/p83, VASP may participate in spatially confined profilin-regulated F-actin formation.

Cell cycle-regulated nuclear import and export of Cdc47, a protein essential for initiation of DNA replication in budding yeast.

The CDC47 gene was isolated by complementation of a cdc47 temperature-sensitive mutant in Saccharomyces cerevisiae and was shown to encode a predicted polypeptide, Cdc47, of 845 aa. Cdc47 belongs to the Cdc46/Mcm family of proteins, previously shown to be essential for initiation of DNA replication. Using indirect immunofluorescence microscopy and subcellular fractionation techniques, we show that Cdc47 undergoes cell cycle-regulated changes in its subcellular localization. At mitosis, Cdc47 enters the nucleus, where it remains until soon after the initiation of DNA replication, when it is rapidly exported back into the cytoplasm. Cdc47 protein levels do not vary with the cell cycle, but expression of CDC47 and nascent synthesis of Cdc47 occur late in the cell cycle, coinciding with mitosis. Together, these results show that Cdc47 is not only imported into the nucleus at the end of mitosis but is also exported back into the cytoplasm at the beginning of S phase. The observation that Cdc47 is exported from the nucleus at the beginning of S phase has important implications for how initiation of DNA replication is controlled.

Componentes genéticos que afetam a via de direcionamento de proteínas organelares em Arabidopsis thaliana

Nos eucariotos, a evolução dos sistemas de transporte molecular foi essencial pois seu alto grau de compartimentalização requer mecanismos com maior especificidade para a localização de proteínas. Com o estabelecimento das mitocôndrias e plastídeos como organelas da célula eucariota, grande parte dos genes específicos para sua atividade e manutenção foram transferidos ao núcleo. Após a transferência gênica, a maioria das proteínas passaram a ser codificadas pelo núcleo, sintetizadas no citosol e direcionadas às organelas por uma maquinaria complexa que envolve receptores nas membranas das organelas, sequências de direcionamento nas proteínas e proteínas citossólicas que auxiliam o transporte. A importação depende em grande parte de uma sequência na região N-terminal das proteínas que contém sinais reconhecidos pelas membranas organelares. No entanto, muito ainda não é compreendido sobre o transporte de proteínas organelares e fatores ainda desconhecidos podem influenciar o direcionamento sub-celular. O objetivo deste trabalho foi a caracterização da General Regulatory Factor 9 (GRF9), uma proteína da família 14-3-3 de Arabidopsis thaliana potencialmente envolvida no direcionamento de proteínas organelares, e a geração de um genótipo para ser utilizado na obtenção de uma população mutante para genes que afetam o direcionamento da proteína Tiamina Monofosfato Sintetase (TH-1). Após experimentos in vivo e in planta, foi observado que GRF9 interage com as proteínas duplo-direcionadas Mercaptopyruvate Sulfurtransferase1 (MST1) e a Thiazole Biosynthetic Enzyme (THI1), e com a proteína direcionada aos cloroplastos TH-1. Experimentos de deleção e interação in vivo mostraram que a região Box1 de GRF9 é essencial para a interação com THI1 e MST1. Com a finalidade de dar continuidade a caracterização da GRF9 e para realização de testes com relação a sua função no direcionamento de proteínas organelares foi gerada uma linhagem homozigota que superexpressa GRF9. Plantas expressando o transgene TH-1 fusionado a Green Fluorescent Protein (GFP) em genótipo deficiente na TH-1 (CS3469/TH-1-GFP) foram obtidas para a geração de população mutante que possibilitará a descoberta de componentes genéticos ainda desconhecidos e responsáveis pelo direcionamento de proteínas aos cloroplastos.

Influence de l'ubiquitylation initiale des substrats SH3 sur leur régulation par la ligase Itch

Ce projet de recherche explore un nouveau mécanisme de régulation de l’activité du domaine HECT de la ligase Itch. Ce domaine est responsable de la polyubiquitylation des protéines impliquant le plus souvent leur dégradation par le protéasome. Itch est une ligase de l’ubiquitine de la famille CWH contenant un domaine HECT catalytique en C-terminal, quatre domaines WW, et un domaine C2 N-terminal qui est important pour sa localisation cellulaire. Les ligases CWH interagissent par leur domaine WW avec leurs ligands. Un mécanisme proposé pour ces ligases est que la première molécule d’ubiquitine liée au substrat active le domaine HECT de manière à former une chaine d’ubiquitine sur le substrat. Itch a une particularité dans la famille CWH, car elle possède un domaine riche en proline qui lui permet d’interagir avec plusieurs protéines à domaine SH3. Dans cette étude, nous avons déterminé l’effet de l’ubiquitylation initiale des protéines SH3 sur l’activité du domaine HECT de la ligase Itch, et sur la régulation de ces substrats.

Influence de l'ubiquitylation initiale des substrats SH3 sur leur régulation par la ligase Itch

Ce projet de recherche explore un nouveau mécanisme de régulation de l’activité du domaine HECT de la ligase Itch. Ce domaine est responsable de la polyubiquitylation des protéines impliquant le plus souvent leur dégradation par le protéasome. Itch est une ligase de l’ubiquitine de la famille CWH contenant un domaine HECT catalytique en C-terminal, quatre domaines WW, et un domaine C2 N-terminal qui est important pour sa localisation cellulaire. Les ligases CWH interagissent par leur domaine WW avec leurs ligands. Un mécanisme proposé pour ces ligases est que la première molécule d’ubiquitine liée au substrat active le domaine HECT de manière à former une chaine d’ubiquitine sur le substrat. Itch a une particularité dans la famille CWH, car elle possède un domaine riche en proline qui lui permet d’interagir avec plusieurs protéines à domaine SH3. Dans cette étude, nous avons déterminé l’effet de l’ubiquitylation initiale des protéines SH3 sur l’activité du domaine HECT de la ligase Itch, et sur la régulation de ces substrats.

Molecular analysis of the pathway for the synthesis of thiol tripeptides in the model legume Lotus japonicus

The thiol tripeptides, glutathione (GSH) and homoglutathione (hGSH), perform multiple roles in legumes, including protection against toxicity of free radicals and heavy metals. The three genes involved in the synthesis of GSH and hGSH in the model legume, Lotus japonicus, have been fully characterized and appear to be present as single copies in the genome. The gamma-glutamylcysteine synthetase (gammaecs) gene was mapped on the long arm of chromosome 4 (70.0 centimorgans [cM]) and consists of 15 exons, whereas the glutathione synthetase (gshs) and homoglutathione synthetase (hgshs) genes were mapped on the long arm of chromosome 1 (81.3 cM) and found to be arranged in tandem, with a separation of approximately 8 kb. Both genes consist of 12 exons of exactly the same size (except exon 1, which is similar). Two types of transcripts were detected for the gshs gene, which putatively encode proteins localized in the plastids and cytosol. Promoter regions contain cis-acting regulatory elements that may be involved in the plant's response to light, hormones, and stress. Determination of transcript levels, enzyme activities, and thiol contents in nodules, roots, and leaves revealed that gammaecs and hgshs are expressed in all three plant organs, whereas gshs is significantly functional only in nodules. This strongly suggests an important role of GSH in the rhizobia-legume symbiosis.

The applicability of recurrent neural networks for biological sequence analysis

Selection of machine learning techniques requires a certain sensitivity to the requirements of the problem. In particular, the problem can be made more tractable by deliberately using algorithms that are biased toward solutions of the requisite kind. In this paper, we argue that recurrent neural networks have a natural bias toward a problem domain of which biological sequence analysis tasks are a subset. We use experiments with synthetic data to illustrate this bias. We then demonstrate that this bias can be exploitable using a data set of protein sequences containing several classes of subcellular localization targeting peptides. The results show that, compared with feed forward, recurrent neural networks will generally perform better on sequence analysis tasks. Furthermore, as the patterns within the sequence become more ambiguous, the choice of specific recurrent architecture becomes more critical.

Differential use of signal peptides and membrane domains is a common occurrence in the protein output of transcriptional units

Membrane organization describes the orientation of a protein with respect to the membrane and can be determined by the presence, or absence, and organization within the protein sequence of two features: endoplasmic reticulum signal peptides and alpha-helical transmembrane domains. These features allow protein sequences to be classified into one of five membrane organization categories: soluble intracellular proteins, soluble secreted proteins, type I membrane proteins, type II membrane proteins, and multi- spanning membrane proteins. Generation of protein isoforms with variable membrane organizations can change a protein's subcellular localization or association with the membrane. Application of MemO, a membrane organization annotation pipeline, to the FANTOM3 Isoform Protein Sequence mouse protein set revealed that within the 8,032 transcriptional units ( TUs) with multiple protein isoforms, 573 had variation in their use of signal peptides, 1,527 had variation in their use of transmembrane domains, and 615 generated protein isoforms from distinct membrane organization classes. The mechanisms underlying these transcript variations were analyzed. While TUs were identified encoding all pairwise combinations of membrane organization categories, the most common was conversion of membrane proteins to soluble proteins. Observed within our highconfidence set were 156 TUs predicted to generate both extracellular soluble and membrane proteins, and 217 TUs generating both intracellular soluble and membrane proteins. The differential use of endoplasmic reticulum signal peptides and transmembrane domains is a common occurrence within the variable protein output of TUs. The generation of protein isoforms that are targeted to multiple subcellular locations represents a major functional consequence of transcript variation within the mouse transcriptome.

Analysis of the Pasteurella multocida outer membrane sub-proteome and its response to the in vivo environment of the natural host

This study describes the identification of outer membrane proteins (OMPs) of the bacterial pathogen Pasteurella multocida and an analysis of how the expression of these proteins changes during infection of the natural host. We analysed the sarcosine-insoluble membrane fractions, which are highly enriched for OMPs, from bacteria grown under a range of conditions. Initially, the OMP-containing fractions were resolved by 2-DE and the proteins identified by MALDI-TOF MS. In addition, the OMP-containing fractions were separated by 1-D SDS-PAGE and protein identifications were made using nano LC MS/MS. Using these two methods a total of 35 proteins was identified from samples obtained from organisms grown in rich culture medium. Six of the proteins were identified only by 2-DE MALDI-TOF MS, whilst 17 proteins were identified only by 1-D LC MS/MS. We then analysed the OMPs from P. multocida which had been isolated from the bloodstream of infected chickens (a natural host) or grown in iron-depleted medium. Three proteins were found to be significantly up-regulated during growth in vivo and one of these (Pm0803) was also up-regulated during growth in iron-depleted medium. After bioinformatic analysis of the protein matches, it was predicted that over one third of the combined OMPs predicted by the bioinformatics sub-cellular localisation tools PSORTB and Proteome Analyst, had been identified during this study. This is the first comprehensive proteomic analysis of the P. multocida outer membrane and the first proteomic analysis of how a bacterial pathogen modifies its outer membrane proteome during infection.

Predicting residue-wise contact orders in proteins by support vector regression

Background: The residue-wise contact order (RWCO) describes the sequence separations between the residues of interest and its contacting residues in a protein sequence. It is a new kind of one-dimensional protein structure that represents the extent of long-range contacts and is considered as a generalization of contact order. Together with secondary structure, accessible surface area, the B factor, and contact number, RWCO provides comprehensive and indispensable important information to reconstructing the protein three-dimensional structure from a set of one-dimensional structural properties. Accurately predicting RWCO values could have many important applications in protein three-dimensional structure prediction and protein folding rate prediction, and give deep insights into protein sequence-structure relationships. Results: We developed a novel approach to predict residue-wise contact order values in proteins based on support vector regression (SVR), starting from primary amino acid sequences. We explored seven different sequence encoding schemes to examine their effects on the prediction performance, including local sequence in the form of PSI-BLAST profiles, local sequence plus amino acid composition, local sequence plus molecular weight, local sequence plus secondary structure predicted by PSIPRED, local sequence plus molecular weight and amino acid composition, local sequence plus molecular weight and predicted secondary structure, and local sequence plus molecular weight, amino acid composition and predicted secondary structure. When using local sequences with multiple sequence alignments in the form of PSI-BLAST profiles, we could predict the RWCO distribution with a Pearson correlation coefficient (CC) between the predicted and observed RWCO values of 0.55, and root mean square error (RMSE) of 0.82, based on a well-defined dataset with 680 protein sequences. Moreover, by incorporating global features such as molecular weight and amino acid composition we could further improve the prediction performance with the CC to 0.57 and an RMSE of 0.79. In addition, combining the predicted secondary structure by PSIPRED was found to significantly improve the prediction performance and could yield the best prediction accuracy with a CC of 0.60 and RMSE of 0.78, which provided at least comparable performance compared with the other existing methods. Conclusion: The SVR method shows a prediction performance competitive with or at least comparable to the previously developed linear regression-based methods for predicting RWCO values. In contrast to support vector classification (SVC), SVR is very good at estimating the raw value profiles of the samples. The successful application of the SVR approach in this study reinforces the fact that support vector regression is a powerful tool in extracting the protein sequence-structure relationship and in estimating the protein structural profiles from amino acid sequences.

Detecting and sorting targeting peptides wtih neural networks and support vector machines

This paper presents a composite multi-layer classifier system for predicting the subcellular localization of proteins based on their amino acid sequence. The work is an extension of our previous predictor PProwler v1.1 which is itself built upon the series of predictors SignalP and TargetP. In this study we outline experiments conducted to improve the classifier design. The major improvement came from using Support Vector machines as a "smart gate" sorting the outputs of several different targeting peptide detection networks. Our final model (PProwler v1.2) gives MCC values of 0.873 for non-plant and 0.849 for plant proteins. The model improves upon the accuracy of our previous subcellular localization predictor (PProwler v1.1) by 2% for plant data (which represents 7.5% improvement upon TargetP).

Specific isoforms of actin-binding proteins on distinct populations of Golgi-derived vesicles

Golgi membranes and Golgi-derived vesicles are associated with multiple cytoskeletal proteins and motors, the diversity and distribution of which have not yet been defined. Carrier vesicles were separated from Golgi membranes, using an in vitro budding assay, and different populations of vesicles were separated using sucrose density gradients. Three main populations of vesicles labeled with beta-COP, gamma-adaptin, or p200/myosin II were separated and analyzed for the presence of actin/actin-binding proteins, beta-Actin was bound to Golgi cisternae and to all populations of newly budded vesicles. Centractin was selectively associated with vesicles co-distributing with beta-COP-vesicles, while p200/myosin II (non-muscle myosin IIA) and non-muscle myosin IIB were found on different vesicle populations. Isoforms of the Tm5 tropomyosins were found on selected Golgi-derived vesicles, while other Tm isoforms did not colocalize with Tm5 indicating the association of specialized actin filaments with Golgi-derived vesicles. Golgi-derived vesicles were shown to bind to F-actin polymerized from cytosol with Jasplakinolide. Thus, newly budded, coated vesicles derived from Golgi membranes can bind to actin and are customized for differential interactions with microfilaments by the presence of selective arrays of actin-binding proteins.

Proteomic analysis of phosphorylation, oxidation and nitrosylation in signal transduction

Signal transduction pathways control cell fate, survival and function. They are organized as intricate biochemical networks which enable biochemical protein activities, crosstalk and subcellular localization to be integrated and tuned to produce highly specific biological responses in a robust and reproducible manner. Post translational Modifications (PTMs) play major roles in regulating these processes through a wide variety of mechanisms that include changes in protein activities, interactions, and subcellular localizations. Determining and analyzing PTMs poses enormous challenges. Recent progress in mass spectrometry (MS) based proteomics have enhanced our capability to map and identify many PTMs. Here we review the current state of proteomic PTM analysis relevant for signal transduction research, focusing on two areas: phosphorylation, which is well established as a widespread key regulator of signal transduction; and oxidative modifications, which from being primarily viewed as protein damage now start to emerge as important regulatory mechanisms.