Biomedical subjects

Sacha Baginsky

Publications and source records attributed to Sacha Baginsky.

18 recordsLinked to original sources

PubMed2006

Proteome dynamics during plastid differentiation in rice.

We have analyzed proteome dynamics during light-induced development of rice (Oryza sativa) chloroplasts from etioplasts using quantitative two-dimensional gel electrophoresis and tandem mass spectrometry protein identification. In the dark, the etioplast allocates the main proportion of total protein mass to carbohydrate and amino acid metabolism and a surprisingly high number of proteins to the regulation and expression of plastid genes. Chaperones, proteins for photosynthetic energy metabolism, and enzymes of the tetrapyrrole pathway were identified among the most abundant etioplast proteins. The detection of 13 N-terminal acetylated peptides allowed us to map the exact localization of the transit peptide cleavage site, demonstrating good agreement with the prediction for most proteins. Based on the quantitative etioplast proteome map, we examined early light-induced changes during chloroplast development. The transition from heterotrophic metabolism to photosynthesis-supported autotrophic metabolism was already detectable 2 h after illumination and affected most essential metabolic modules. Enzymes in carbohydrate metabolism, photosynthesis, and gene expression were up-regulated, whereas enzymes in amino acid and fatty acid metabolism were significantly decreased in relative abundance. Enzymes involved in nucleotide metabolism, tetrapyrrole biosynthesis, and redox regulation remained unchanged. Phosphoprotein-specific staining at different time points during chloroplast development revealed light-induced phosphorylation of a nuclear-encoded plastid RNA-binding protein, consistent with changes in plastid RNA metabolism. Quantitative information about all identified proteins and their regulation by light is available in plprot, the plastid proteome database (http://www.plprot.ethz.ch).

Down-Regulation↗

PubMed2006

Proteome analysis of bell pepper (Capsicum annuum L.) chromoplasts.

We report a comprehensive proteome analysis of chromoplasts from bell pepper (Capsicum annuum L.). The combination of a novel strategy for database-independent detection of proteins from tandem mass spectrometry (MS/MS) data with standard database searches allowed us to identify 151 proteins with a high level of confidence. These include several well-known plastid proteins but also novel proteins that were not previously reported from other plastid proteome studies. The majority of the identified proteins are active in plastid carbohydrate and amino acid metabolism. Among the most abundant individual proteins are capsanthin/capsorubin synthase and fibrillin, which are involved in the synthesis and storage of carotenoids that accumulate to high levels in chromoplasts. The relative abundances of the identified chromoplast proteins differ remarkably compared with their abundances in other plastid types, suggesting a chromoplast-specific metabolic network. Our results provide an overview of the major metabolic pathways active in chromoplasts and extend existing knowledge about prevalent metabolic activities of different plastid types.

Amino Acid Sequence↗

PubMed2006

Semi-supervised LC/MS alignment for differential proteomics.

MOTIVATION: Mass spectrometry (MS) combined with high-performance liquid chromatography (LC) has received considerable attention for high-throughput analysis of proteomes. Isotopic labeling techniques such as ICAT [5,6] have been successfully applied to derive differential quantitative information for two protein samples, however at the price of significantly increased complexity of the experimental setup. To overcome these limitations, we consider a label-free setting where correspondences between elements of two samples have to be established prior to the comparative analysis. The alignment between samples is achieved by nonlinear robust ridge regression. The correspondence estimates are guided in a semi-supervised fashion by prior information which is derived from sequenced tandem mass spectra. RESULTS: The semi-supervised method for finding correspondences was successfully applied to aligning highly complex protein samples, even if they exhibit large variations due to different biological conditions. A large-scale experiment clearly demonstrates that the proposed method bridges the gap between statistical data analysis and label-free quantitative differential proteomics. AVAILABILITY: The software will be available on the website http://people.inf.ethz.ch/befische/proteomics.

Algorithms↗

PubMed2006

Identification of a vacuolar sucrose transporter in barley and Arabidopsis mesophyll cells by a tonoplast proteomic approach.

The vacuole is the main cellular storage pool, where sucrose (Suc) accumulates to high concentrations. While a limited number of vacuolar membrane proteins, such as V-type H(+)-ATPases and H(+)-pyrophosphatases, are well characterized, the majority of vacuolar transporters are still unidentified, among them the transporter(s) responsible for vacuolar Suc uptake and release. In search of novel tonoplast transporters, we used a proteomic approach, analyzing the tonoplast fraction of highly purified mesophyll vacuoles of the crop plant barley (Hordeum vulgare). We identified 101 proteins, including 88 vacuolar and putative vacuolar proteins. The Suc transporter (SUT) HvSUT2 was discovered among the 40 vacuolar proteins, which were previously not reported in Arabidopsis (Arabidopsis thaliana) vacuolar proteomic studies. To confirm the tonoplast localization of this Suc transporter, we constructed and expressed green fluorescent protein (GFP) fusion proteins with HvSUT2 and its closest Arabidopsis homolog, AtSUT4. Transient expression of HvSUT2-GFP and AtSUT4-GFP in Arabidopsis leaves and onion (Allium cepa) epidermal cells resulted in green fluorescence at the tonoplast, indicating that these Suc transporters are indeed located at the vacuolar membrane. Using a microcapillary, we selected mesophyll protoplasts from a leaf protoplast preparation and demonstrated unequivocally that, in contrast to the companion cell-specific AtSUC2, HvSUT2 and AtSUT4 are expressed in mesophyll protoplasts, suggesting that HvSUT2 and AtSUT4 are involved in transport and vacuolar storage of photosynthetically derived Suc.

Arabidopsis↗

PubMed2006

Arabidopsis thaliana proteomics: from proteome to genome.

Proteomics has become an important approach for investigating cellular processes and network functions. Significant improvements have been made during the last few years in technologies for high-throughput proteomics, both at the level of data analysis software and mass spectrometry hardware. As proteomics technologies advance and become more widely accessible, efforts of cataloguing and quantifying full proteomes are underway to complement other genomics approaches, such as RNA and metabolite profiling. Of particular interest is the application of proteome data to improve genome annotation and to include information on post-translational protein modifications with the annotation of the corresponding gene. This type of analysis requires a paradigm shift because amino acid sequences must be assigned to peptides without relying on existing protein databases. In this review, advances and current limitations of full proteome analysis are briefly highlighted using the model plant Arabidopsis thaliana as an example. Strategies to identify peptides are also discussed on the basis of MS/MS data in a protein database-independent approach.

Arabidopsis↗

PubMed2006

plprot: a comprehensive proteome database for different plastid types.

Different plant plastid types contain a distinct protein complement for specialized functions and metabolic activities. plprot was established as a plastid proteome database to provide information about the proteomes of chloroplasts, etioplasts and undifferentiated plastids. The current version of plprot features 2,043 protein entries and consists of two modules. Module one contains a BLAST search option and provides comparative information on the proteomes of different plastid types. The second module contains four searchable databases, three for each individual plastid type and one comprehensive composite database that provides the results of plastid proteome analyses from different laboratories. plprot is accessible at http://www.plprot.ethz.ch.

Databases, Protein↗

PubMed2006

Tocopherol cyclase (VTE1) localization and vitamin E accumulation in chloroplast plastoglobule lipoprotein particles.

Chloroplasts contain lipoprotein particles termed plastoglobules. Plastoglobules are generally believed to have little function beyond lipid storage. Here we report on the identification of plastoglobule proteins using mass spectrometry methods in Arabidopsis thaliana. We demonstrate specific plastoglobule association of members of the plastid lipid-associated proteins/fibrillin family as well as known metabolic enzymes, including the tocopherol cyclase (VTE1), a key enzyme of tocopherol (vitamin E) synthesis. Moreover, comparative analysis of chloroplast membrane fractions shows that plastoglobules are a site of vitamin E accumulation in chloroplasts. Thus, in addition to their lipid storage function, we propose that plastoglobules are metabolically active, taking part in tocopherol synthesis and likely other pathways.

Arabidopsis↗

PubMed2005

Dynamic spectrum quality assessment and iterative computational analysis of shotgun proteomic data: toward more efficient identification of post-translational modifications, sequence polymorphisms, and novel peptides.

In mass spectrometry-based proteomics, frequently hundreds of thousands of MS/MS spectra are collected in a single experiment. Of these, a relatively small fraction is confidently assigned to peptide sequences, whereas the majority of the spectra are not further analyzed. Spectra are not assigned to peptides for diverse reasons. These include deficiencies of the scoring schemes implemented in the database search tools, sequence variations (e.g. single nucleotide polymorphisms) or omissions in the database searched, post-translational or chemical modifications of the peptide analyzed, or the observation of sequences that are not anticipated from the genomic sequence (e.g. splice forms, somatic rearrangement, and processed proteins). To increase the amount of information that can be extracted from proteomic MS/MS datasets we developed a robust method that detects high quality spectra within the fraction of spectra unassigned by conventional sequence database searching and computes a quality score for each spectrum. We also demonstrate that iterative search strategies applied to such detected unassigned high quality spectra significantly increase the number of spectra that can be assigned from datasets and that biologically interesting new insights can be gained from existing data.

Alternative Splicing↗

PubMed2005

NovoHMM: a hidden Markov model for de novo peptide sequencing.

De novo sequencing of peptides poses one of the most challenging tasks in data analysis for proteome research. In this paper, a generative hidden Markov model (HMM) of mass spectra for de novo peptide sequencing which constitutes a novel view on how to solve this problem in a Bayesian framework is proposed. Further extensions of the model structure to a graphical model and a factorial HMM to substantially improve the peptide identification results are demonstrated. Inference with the graphical model for de novo peptide sequencing estimates posterior probabilities for amino acids rather than scores for single symbols in the sequence. Our model outperforms state-of-the-art methods for de novo peptide sequencing on a large test set of spectra.

Amino Acid Sequence↗

PubMed2005

Proteome analysis of the rice etioplast: metabolic and regulatory networks and novel protein functions.

We report an extensive proteome analysis of rice etioplasts, which were highly purified from dark-grown leaves by a novel protocol using Nycodenz density gradient centrifugation. Comparative protein profiling of different cell compartments from leaf tissue demonstrated the purity of the etioplast preparation by the absence of diagnostic marker proteins of other cell compartments. Systematic analysis of the etioplast proteome identified 240 unique proteins that provide new insights into heterotrophic plant metabolism and control of gene expression. They include several new proteins that were not previously known to localize to plastids. The etioplast proteins were compared with proteomes from Arabidopsis chloroplasts and plastid from tobacco Bright Yellow 2 cells. Together with computational structure analyses of proteins without functional annotations, this comparative proteome analysis revealed novel etioplast-specific proteins. These include components of the plastid gene expression machinery such as two RNA helicases, an RNase II-like hydrolytic exonuclease, and a site 2 protease-like metalloprotease all of which were not known previously to localize to the plastid and are indicative for so far unknown regulatory mechanisms of plastid gene expression. All etioplast protein identifications and related data were integrated into a data base that is freely available upon request.

Amino Acid Sequence↗

PubMed2005

Isolation of viral ribonucleoprotein complexes from infected cells by tandem affinity purification.

The biochemical purification and analysis of viral ribonucleoprotein complexes (RNPs) of negative-strand RNA viruses is hampered by the lack of suitable tags that facilitate specific enrichment of these complexes. We therefore tested whether fusion of the tandem-affinity-purification (TAP) tag to the main component of viral RNPs, the nucleoprotein, might allow the isolation of these RNPs from cells. We constitutively expressed TAP-tagged nucleoprotein of Borna disease virus (BDV) in cells persistently infected with this virus. The TAP-tagged bait was efficiently incorporated into viral RNPs, did not interfere with BDV replication and was also packaged into viral particles. Native purification of the tagged protein complexes from BDV-infected cells by two consecutive affinity columns resulted in the isolation of several viral proteins, which were identified by MS analysis as the matrix protein, the two forms of the nucleoprotein and the phosphoprotein. In addition to the viral proteins, RT-PCR analysis revealed the presence of viral genomic RNA. Introduction of further protease cleavage sites within the TAP-tag significantly increased the purification yield. These results demonstrate that purification of TAP-tagged viral RNPs is possible and efficient, and may therefore provide new avenues for biochemical and functional studies of these complexes.

Bornaviridae↗

PubMed2004

Chloroplast proteomics: potentials and challenges.

With the available Arabidopsis genome and near-completion of the rice genome sequencing project, large-scale analysis of plant proteins with mass spectrometry has now become possible. Determining the proteome of a cell is a challenging task, which is complicated by proteome dynamics and complexity. The biochemical heterogeneity of proteins constrains the use of standardized analytical procedures and requires demanding techniques for proteome analysis. Several proteome studies of plant cell organelles have been reported, including chloroplasts and mitochondria. Chloroplasts are of particular interest for plant biologists because of their complex biochemical pathways for essential metabolic functions. Information from the chloroplast proteome will therefore provide new insights into pathway compartmentalization and protein sorting. Some approaches for the analysis of the chloroplast proteome and future prospects of plastid proteome research are discussed here.

Chloroplasts↗

PubMed2004

The Arabidopsis thaliana chloroplast proteome reveals pathway abundance and novel protein functions.

BACKGROUND: Chloroplasts are plant cell organelles of cyanobacterial origin. They perform essential metabolic and biosynthetic functions of global significance, including photosynthesis and amino acid biosynthesis. Most of the proteins that constitute the functional chloroplast are encoded in the nuclear genome and imported into the chloroplast after translation in the cytosol. Since protein targeting is difficult to predict, many nuclear-encoded plastid proteins are still to be discovered. RESULTS: By tandem mass spectrometry, we identified 690 different proteins from purified Arabidopsis chloroplasts. Most proteins could be assigned to known protein complexes and metabolic pathways, but more than 30% of the proteins have unknown functions, and many are not predicted to localize to the chloroplast. Novel structure and function prediction methods provided more informative annotations for proteins of unknown functions. While near-complete protein coverage was accomplished for key chloroplast pathways such as carbon fixation and photosynthesis, fewer proteins were identified from pathways that are downregulated in the light. Parallel RNA profiling revealed a pathway-dependent correlation between transcript and relative protein abundance, suggesting gene regulation at different levels. CONCLUSIONS: The chloroplast proteome contains many proteins that are of unknown function and not predicted to localize to the chloroplast. Expression of nuclear-encoded chloroplast genes is regulated at multiple levels in a pathway-dependent context. The combined shotgun proteomics and RNA profiling approach is of high potential value to predict metabolic pathway prevalence and to define regulatory levels of gene expression on a pathway scale.

Arabidopsis↗

PubMed2002

Endonucleolytic activation directs dark-induced chloroplast mRNA degradation.

Plastid mRNA stability is tightly regulated by external signals such as light. We have investigated the biochemical mechanism responsible for the dark-induced decrease of relative half-lives for mRNAs encoding photosynthetic proteins. Protein fractions isolated from plastids of light-grown and dark-adapted plants correctly reproduced an RNA degradation pathway in the dark that is downregulated in the light. This dark-dependent pathway is initiated by endonucleolytic cleavages in the petD mRNA precursor substrate proximal to a region that can fold into a stem-loop structure. Polynucleotide phosphorylase (PNPase) polyadenylation activity was strongly increased in the protein fraction isolated from plastids in dark-adapted plants, but interestingly PNPase activity was not required for the initiation of dark-induced mRNA degradation. A protein factor present in the protein fraction from plastids of light-grown plants could inactivate the endonuclease activity and thereby stabilize the RNA substrate in the protein fraction from plastids of dark-adapted plants. The results show that plastid mRNA stability is effectively controlled by the regulation of a specific dark-induced RNA degradation pathway.

3' Untranslated Regions↗

PubMedDate not supplied

Analysis of shotgun proteomics and RNA profiling data from Arabidopsis thaliana chloroplasts.

The integration of data from transcriptional profiling and shotgun proteomics experiments provides additional information about the identified proteins that goes beyond their plain detection. We have analyzed results from MS/MS shotgun detection of 426 Arabidopsis chloroplast proteins and genome-wide RNA profiling to identify correlations between gene expression, protein abundance and protein characteristics that influence their detection in high-throughput proteome analyses. The integrated data analysis revealed a significant molecular mass bias for the detection of proteins that were expressed at low transcript levels. Overall, the sequence coverage of most of the identified proteins increases with transcript levels indicating a positive correlation between transcript and relative protein abundance. This does not apply to a subset of the identified proteins suggesting specific properties that alter their detection in shotgun proteomics. This integrative comparison is a suitable strategy to validate large scale proteomics data and offers an assessment of the depth of the proteome analysis and the confidence in protein identification.

Arabidopsis↗

PubMedDate not supplied

Proteome analysis of tobacco bright yellow-2 (BY-2) cell culture plastids as a model for undifferentiated heterotrophic plastids.

We analyzed the proteome of undifferentiated plastids from a tobacco BY-2 cell culture by shotgun proteomics following multidimensional protein fractionation. The fractionation strategy initiated with the serial extraction of proteins from membranes which allowed us to distinguish soluble, peripheral, and integral membrane proteins. The majority of the identified proteins have a function in the cellular metabolism and most of them are active in amino acid synthesis pathways. A significant number of the identified proteins was not identified in chloroplast proteome analyses before. This suggests BY-2 plastid specific functions that differ from the major activities of chloroplasts. We have used the BY-2 plastid proteins reported here to assess the metabolic activities of undifferentiated heterotrophic plastids and compared the functional profile with that of differentiated heterotrophic amyloplasts. Comparative shotgun proteome analyses as reported here provide information about prevalent metabolic activities of different plastid types.

Cell Differentiation↗

PubMedDate not supplied

Mass spectrometric identification of RNA binding proteins from dried EMSA gels.

Electrophoretic mobility shift assays (EMSA) are commonly employed for the analysis of nucleic acid/ protein interactions with a native gel system. Here, we report a method to identify RNA binding proteins from a dried EMSA gel by mass spectrometry following autoradiography. Compared to wet gel exposure, our approach resulted in an improved protein identification sensitivity and RNA/protein complex isolation accuracy. The method described here is useful for the large scale characterization of RNA- or DNA-protein complexes.

Autoradiography↗

PubMedDate not supplied

AUDENS: a tool for automated peptide de novo sequencing.

We present AUDENS, a new platform-independent open source tool for automated de novo sequencing of peptides from MS/MS data. We implemented a dynamic programming algorithm and combined it with a flexible preprocessing module which is designed to distinguish between signal and other peaks. By applying a user-defined set of heuristics, AUDENS screens through the spectrum and assigns high relevance values to putative signal peaks. The algorithm constructs a sequence path through the MS/MS spectrum using the peak relevances to score each suggested sequence path, i.e., the corresponding amino acid sequence. At present, we consider AUDENS a prototype that unfolds its biggest potential if used in parallel with other de novo sequencing tools. AUDENS is available open source and can be downloaded with further documentation at http://www.ti.inf.ethz.ch/pw/software/audens/ .

Algorithms↗