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PubMed2005

Bioinformatics challenges in proteomics.

A little after the genomic revolution had been celebrated, it seemed as if a competition began to found new -omics disciplines that ultimately all have the same goal, the understanding of biological function. There are many similar definitions for proteomics that can be summarized as follows: proteomics is a large-scale study of structure and function of proteins in an organism or cell. Importantly, the proteome is much more variable than the genome through its interactions with the genome and secondary modifications. It differs depending on the tissue and stage in life-cycle. Hence, proteomics is a very diverse discipline that uses a variety of experimental set-ups and targets in order to elucidate function. Its dissociation from other disciplines can only remain artificial. The bioinformatics applied to proteomics are equally varied. In this review we will focus mainly on a few areas of bioinformatics that seem to us as particularly noteworthy or characteristic for proteomics research, for example in 2DE analysis or mass spectrometry. Another important task of bioinformatics is the prediction of functional properties. We will summarize the approaches taken in order to predict protein networks, which are based on the extensive integration of several kinds of -omics data. We will give a short overview of a demanding field in computational biology, the analysis and prediction of protein 3D structures. In order to provide a broader perspective we will close this review with a generalized description of activities and databases in the realm of proteomics.

Animals↗
PubMed2003

Proteomics analysis of rat brain postsynaptic density. Implications of the diverse protein functional groups for the integration of synaptic physiology.

The postsynaptic density contains multiple protein complexes that together relay the presynaptic neurotransmitter input to the activation of the postsynaptic neuron. In the present study we took two independent proteome approaches for the characterization of the protein complement of the postsynaptic density, namely 1) two-dimensional gel electrophoresis separation of proteins in conjunction with mass spectrometry to identify the tryptic peptides of the protein spots and 2) isolation of the trypsin-digested sample that was labeled with isotope-coded affinity tag, followed by liquid chromatography-tandem mass spectrometry for the partial separation and identification of the peptides, respectively. Functional grouping of the identified proteins indicates that the postsynaptic density is a structurally and functionally complex organelle that may be involved in a broad range of synaptic activities. These proteins include the receptors and ion channels for glutamate neurotransmission, proteins for maintenance and modulation of synaptic architecture, sorting and trafficking of membrane proteins, generation of anaerobic energy, scaffolding and signaling, local protein synthesis, and correct protein folding and breakdown of synaptic proteins. Together, these results imply that the postsynaptic density may have the ability to function (semi-) autonomously and may direct various cellular functions in order to integrate synaptic physiology.

Animals↗
PubMed2006

The proteomics of plant cell membranes.

Membrane proteins are involved in many different functions depending on their location in the cell. Characterization of the membrane proteome can bring new insights to the function of different plant membrane systems and the subcellular compartments where the proteins are found. Plant membrane proteomics can also provide valuable information about plant-specific biological processes. Despite recent advances in the separation and techniques for the analysis of plant membrane proteins, characterization of these proteins, especially the hydrophobic ones, is still challenging. In this review, plant membrane proteomics data, compiled from the literature on Arabidopsis thaliana, are described. In addition, initial attempts towards determining the physiological significance of some proteins identified from membrane proteomics in rice are also described.

Arabidopsis↗
PubMed2005

The interplay between structure and function in intrinsically unstructured proteins.

Intrinsically unstructured proteins (IUPs) are common in various proteomes and occupy a unique structural and functional niche in which function is directly linked to structural disorder. The evidence that these proteins exist without a well-defined folded structure in vitro is compelling, and justifies considering them a separate class within the protein world. In this paper, novel advances in the rapidly advancing field of IUPs are reviewed, with the major attention directed to the evidence of their unfolded character in vivo, the interplay of their residual structure and their various functional modes and the functional benefits their malleable structural state provides. Via all these details, it is demonstrated that in only a couple of years after its conception, the idea of protein disorder has already come of age and transformed our basic concepts of protein structure and function.

Animals↗
PubMed2001

Calcium: silver bullet in signaling.

Accumulating evidence suggests that Ca(2+) serves as a messenger in many normal growth and developmental process and in plant responses to biotic and abiotic stresses. Numerous signals have been shown to induce transient elevation of [Ca(2+)](cyt) in plants. Genetic, biochemical, molecular and cell biological approaches in recent years have resulted in significant progress in identifying several Ca(2+)-sensing proteins in plants and in understanding the function of some of these Ca(2+)-regulated proteins at the cellular and whole plant level. As more and more Ca(2+)-sensing proteins are identified it is becoming apparent that plants have several unique Ca(2+)-sensing proteins and that the downstream components of Ca(2+) signaling in plants have novel features and regulatory mechanisms. Although the mechanisms by which Ca(2+) regulates diverse biochemical and molecular processes and eventually physiological processes in response to diverse signals are beginning to be understood, recent studies have raised many interesting questions. Despite the fact that Ca(2+) sensing proteins are being identified at a rapid pace, progress on the function(s) of many of them is limited. Studies on plant 'signalome' - the identification of all signaling components in all messengers mediated transduction pathways, analysis of their function and regulation, and cross talk among these components - should help in understanding the inner workings of plant cell responses to diverse signals. New functional genomics approaches such as reverse genetics, microarray analyses coupled with in vivo protein-protein interaction studies and proteomics should not only permit functional analysis of various components in Ca(2+) signaling but also enable identification of a complex network of interactions.

Journal Article↗
PubMed2004

The proteomic approach to analysis of human milk fat globule membrane.

Lactating mammary epithelial cells do not adhere to the classical rule of lipid secretion since lipids are secreted enveloped by the milk fat globule membrane (MFGM) via a budding process. Historically, biochemical studies of MFGM proteins focused on the analysis of single molecules. Today, thanks to proteomic technologies, it is now possible to comprehensively analyse the protein component of MFGM. Questions concerning: (1) protein organization within the MFGM structure; (2) correlation to the intracellular secretion pathway; and (3) display of multiple specialized functions, can now be addressed. Proteomics allows for rapid identification of the total MFGM proteins thereby providing a global functional screen of the lactating cell. In addition to their nutritional value, human MFGM proteins have important protective functions against bacteria, viruses and protozoa. Identifying the complex nature of protein-protein interactions would further enhance our present knowledge of MFGM function. A speculative molecular architecture of the human MFGM is proposed.

Female↗
PubMed2003

High-throughput classification of yeast mutants for functional genomics using metabolic footprinting.

Many technologies have been developed to help explain the function of genes discovered by systematic genome sequencing. At present, transcriptome and proteome studies dominate large-scale functional analysis strategies. Yet the metabolome, because it is 'downstream', should show greater effects of genetic or physiological changes and thus should be much closer to the phenotype of the organism. We earlier presented a functional analysis strategy that used metabolic fingerprinting to reveal the phenotype of silent mutations of yeast genes. However, this is difficult to scale up for high-throughput screening. Here we present an alternative that has the required throughput (2 min per sample). This 'metabolic footprinting' approach recognizes the significance of 'overflow metabolism' in appropriate media. Measuring intracellular metabolites is time-consuming and subject to technical difficulties caused by the rapid turnover of intracellular metabolites and the need to quench metabolism and separate metabolites from the extracellular space. We therefore focused instead on direct, noninvasive, mass spectrometric monitoring of extracellular metabolites in spent culture medium. Metabolic footprinting can distinguish between different physiological states of wild-type yeast and between yeast single-gene deletion mutants even from related areas of metabolism. By using appropriate clustering and machine learning techniques, the latter based on genetic programming, we show that metabolic footprinting is an effective method to classify 'unknown' mutants by genetic defect.

Cells, Cultured↗
PubMed2005

A proteomics strategy for the enrichment of receptor-associated complexes.

Multimeric protein complexes are important for cell function and are being identified by proteomics approaches. Enrichment strategies, such as those employing affinity matrices, are required for the characterization of such complexes, for example, those containing growth factor receptors. The receptor for the macrophage lineage growth factor, macrophage-colony stimulating factor (M-CSF or CSF-1), is the tyrosine kinase, c-Fms. There is evidence that the CSF-1 receptor (CSF-1R) forms distinct multimeric complexes involving autophosphorylated tyrosines in its cytoplasmic region; however, these complexes are difficult to identify by immunoprecipitation, making enrichment necessary. We report here the use of a tyrosine-phosphorylated, GST-fusion construct of the entire CSF-1R cytoplasmic region to characterize proteins putatively associating with the activated CSF-1R. Besides signalling molecules known to associate with the receptor or be involved in CSF-1R-dependent signalling, mass spectrometry identified a number of other molecules binding to the construct. So far among these candidate proteins, dynein, claudin and silencer of death domains co-immunoprecipitated with the CSF-1R, suggesting association. This affinity matrix method, using an entire cytoplasmic region, may have relevance for other growth factor receptors.

Adaptor Proteins, Signal Transducing↗
PubMed2003

Protein informatics towards function identification.

The study of structural genomics and structural proteomics has determined the tertiary structures of many hypothetical proteins, whose molecular functions could not be understood using conventional methods. In order to infer the geometrical location of the functional site, the biochemical function and the biological function of the hypothetical protein, much effort has been made in protein informatics. The importance of heterogeneous databases and various descriptors of amino acid sequences, tertiary structures and pathways on the proteome scale has been emphasised.

Binding Sites↗
PubMed2006

Exploring molecular networks directly in the cell.

The hierarchy of cell function comprises at least four distinct functional levels: genome, transcriptome, proteome, and toponome. The toponome is the entirety of all protein networks traced out directly as patterns on the single cell level in the natural environment of cells in situ (e.g. tissues). In this work a photonic microscopic robot technology (MELK) capable of tagging and imaging hundreds (and possibly thousands) of different molecular components (e.g. proteins) of morphologically-intact fixed cells and tissue have been developed. MELK data sets represent multidimensional vectors of the topologically determined arrangements of proteins within the cell. The data, assembled in a toponome dictionary of the cell, give rise to a new concept for target and drug lead discovery.

Eukaryotic Cells↗
PubMed2003

An analysis of the Candida albicans genome database for soluble secreted proteins using computer-based prediction algorithms.

We sought to identify all genes in the Candida albicans genome database whose deduced proteins would likely be soluble secreted proteins (the secretome). While certain C. albicans secretory proteins have been studied in detail, more data on the entire secretome is needed. One approach to rapidly predict the functions of an entire proteome is to utilize genomic database information and prediction algorithms. Thus, we used a set of prediction algorithms to computationally define a potential C. albicans secretome. We first assembled a validation set of 47 C. albicans proteins that are known to be secreted and 47 that are known not to be secreted. The presence or absence of an N-terminal signal peptide was correctly predicted by SignalP version 2.0 in 47 of 47 known secreted proteins and in 47 of 47 known non-secreted proteins. When all 6165 C. albicans ORFs from CandidaDB were analysed with SignalP, 495 ORFs were predicted to encode proteins with N-terminal signal peptides. In the set of 495 deduced proteins with N-terminal signal peptides, 350 were predicted to have no transmembrane domains (or a single transmembrane domain at the extreme N-terminus) and 300 of these were predicted not to be GPI-anchored. TargetP was used to eliminate proteins with mitochondrial targeting signals, and the final computationally-predicted C. albicans secretome was estimated to consist of up to 283 ORFs. The C. albicans secretome database is available at http://info.med.yale.edu/intmed/infdis/candida/

Algorithms↗
PubMed2002

The intracellular antibody capture technology (IACT): towards a consensus sequence for intracellular antibodies.

We describe the application of an intracellular antibody capture technology (IACT) as a generic in vivo selection procedure for isolating intracellular antibodies or ICAbs. IACT was applied to the de novo selection of functional ICAbs against the microtubule-associated protein TAU, found in neurofibrillary lesions of Alzheimer's disease brains. A panel of 17 different ICAbs was created which bind TAU inside cells and the epitopes recognized by the selected ICAbs have been determined by an in vivo epitope mapping procedure. Finally, sequence analysis showed that the IACT-derived ICAbs are characterized by a common signature of conserved amino acid residues, suggesting that the IACT naturally selects a sort of "captured consensus sequence" for intracellular antibodies. The development of IACT, together with the possibility of scaling up in a high throughput and automated format, makes IACT a new enabling tool for target validation in functional genomics and global proteomics.

Alzheimer Disease↗
PubMed2005

[Research strategies towards a holistic characterization of rheumatoid arthritis--a systems biology approach].

Genome-wide screening methods used in functional genomics (genome, transcriptome, proteome and metabolom analysis) have increasingly been conducted in integrative research platforms to enable a comprehensive holistic characterization of multifactorial polygenic diseases. First results of this research strategy demonstrate that extended data sets are compiled whose quality is ensured by the application of standard operating procedures (SOPs) and the integration of specific laboratory information management systems (LIMS). Experimental data derived from this technology and methodology platform are obtained by applying standardized sampling procedures followed by comprehensive experimental validation and bioinformatic comparisons with the world knowledge publicly available. This research strategy should finally lead to a holistic understanding of the pathogenesis presented in rheumatoid arthritis by identifying disease-associated regulatory networks (pathways) and assigning them to cell populations involved in the disease mechanisms. In addition, it has to be investigated to what extent genetic as well as epigenetic factors direct disease initiation and progression in potential conjunction with environmental impacts (infections, smoking, etc.).

Animals↗
PubMed2006

Primordia vita. Deconvolution from modern sequences.

Evolution of the triplet code is reconstructed on the basis of consensus temporal order of appearance of amino acids. Several important predictions are confirmed by computational sequence analyses. The earliest amino acids, alanine and glycine, have been encoded by GCC and GGC codons, as today. They were succeeded, respectively, by A- and G-series of amino acids, encoded by pyrimidine-central and purine-central codons. The length of the earliest proteins is estimated to be 6-7 residues. The earliest mRNAs were short G+C-rich molecules. These short sequences could have formed hairpins. This is confirmed by analysis of modern prokaryotic mRNA sequences. Predominant size of detected ancient hairpins also corresponds to 6-7 amino acids, as above. Vestiges of last common ancestor can be found in extant proteins in form of entirely conserved short sequences of size six to nine residues present in all or almost all sequenced prokaryotic proteomes (omnipresent motifs). The functions of the topmost conserved octamers are not involved in the basic elementary syntheses. This suggests an initial abiotic supply of amino acids, bases and sugars.

Base Sequence↗
PubMed2004

Rab27b localizes to zymogen granules and regulates pancreatic acinar exocytosis.

To understand the function of pancreatic zymogen granules, we performed a proteomics analysis to identify ZG membrane components. Here we report the identification of Rab27b through this proteomics study and validate its role in granule function. MALDI-MS peptide mass fingerprint was matched to rat Rab27b with 43% sequence coverage, and the identification was also confirmed by tandem mass spectrometry. The localization of Rab27b on ZGs was confirmed by Western blotting and immunocytochemistry. To examine the function of Rab27b in acinar secretion, we overexpressed wild type and mutant Rab27b protein in pancreatic acini using recombinant adenoviruses. Wild type Rab27b had no effect on amylase secretion, while Rab27b Q78L enhanced, and Rab27b N133I inhibited, CCK-induced amylase release by 92+/-13% and 53+/-8%, respectively. This enhancement and inhibition occurred at all points on the CCK dose-response curve and over a 30min time course. These results demonstrate that Rab27b is present on ZGs and plays an important role in regulating acinar exocytosis.

Amino Acid Sequence↗
PubMed2006

Genetics and functional genomics of legume nodulation.

Gram-negative soil bacteria (rhizobia) within the Rhizobiaceae phylogenetic family (alpha-proteobacteria) have the unique ability to infect and establish a nitrogen-fixing symbiosis on the roots of leguminous plants. This symbiosis is of agronomic importance, reducing the need for nitrogen fertilizer for agriculturally important plants (e.g. soybean and alfalfa). The establishment of the symbiosis involves a complex interplay between host and symbiont, resulting in the formation of a novel organ, the nodule, which the bacteria colonize as intracellular symbionts. This review focuses on the most recent discoveries relating to how this symbiosis is established. Two general developments have contributed to the recent explosion of research progress in this area: first, the adoption of two genetic model legumes, Medicago truncatula and Lotus japonicus, and second, the application of modern methods in functional genomics (e.g. transcriptomic, proteomic and metabolomic analyses).

Amino Acid Sequence↗
PubMed2005

Multifaceted roles of glycolytic enzymes.

Although glycolysis is a biochemical pathway that evolved under ancient anaerobic terrestrial conditions, recent studies have provided evidence that some glycolytic enzymes are more complicated, multifaceted proteins rather than simple components of the glycolytic pathway. These glycolytic enzymes have acquired additional non-glycolytic functions in transcriptional regulation [hexokinase (HK)-2, lactate dehydrogenase A, glyceraldehyde-3-phosphate dehydrogenase (GAPD) and enolase 1], stimulation of cell motility (glucose-6-phosphate isomerase) and the regulation of apoptosis (glucokinase, HK and GAPD). The existence of multifaceted roles of glycolytic proteins suggests that links between metabolic sensors and transcription are established directly through enzymes that participate in metabolism. These roles further underscore the need to consider the non-enzymatic functions of enzymes in proteomic studies of cells and tissues.

Animals↗
PubMed2005

Testis-specific histone H3 expression in somatic cells.

Histone variants functionally differentiate individual nucleosomes and, hence, act as key regulators of chromatin structure and function. Large-scale proteomic projects are now valuable sources of histone-variant discovery, showing, in particular, that somatic mammalian cells express a larger panel of histone H3 variants than previously thought, including testis-specific variants and as yet uncharacterized species. These data also suggest a tight relationship between the complexity of histone-variant expression and physiopathological states of the cells.

Amino Acid Sequence↗