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PubMed2003

Function prediction and protein networks.

In the genomics era, the interactions between proteins are at the center of attention. Genomic-context methods used to predict these interactions have been put on a quantitative basis, revealing that they are at least on an equal footing with genomics experimental data. A survey of experimentally confirmed predictions proves the applicability of these methods, and new concepts to predict protein interactions in eukaryotes have been described. Finally, the interaction networks that can be obtained by combining the predicted pair-wise interactions have enough internal structure to detect higher levels of organization, such as 'functional modules'.

Animals↗
PubMed2003

MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis.

SUMMARY: MetaFluxNet is a program package for managing information on the metabolic reaction network and for quantitatively analyzing metabolic fluxes in an interactive and customized way. It allows users to interpret and examine metabolic behavior in response to genetic and/or environmental modifications. As a result, quantitative in silico simulations of metabolic pathways can be carried out to understand the metabolic status and to design the metabolic engineering strategies. The main features of the program include a well-developed model construction environment, user-friendly interface for metabolic flux analysis (MFA), comparative MFA of strains having different genotypes under various environmental conditions, and automated pathway layout creation. AVAILABILITY: http://mbel.kaist.ac.kr/ SUPPLEMENTARY INFORMATION: A manual for MetaFluxNet is available as PDF file.

Database Management Systems↗
PubMed2004

Inferring quantitative models of regulatory networks from expression data.

MOTIVATION: Genetic networks regulate key processes in living cells. Various methods have been suggested to reconstruct network architecture from gene expression data. However, most approaches are based on qualitative models that provide only rough approximations of the underlying events, and lack the quantitative aspects that are critical for understanding the proper function of biomolecular systems. RESULTS: We present fine-grained dynamical models of gene transcription and develop methods for reconstructing them from gene expression data within the framework of a generative probabilistic model. Unlike previous works, we employ quantitative transcription rates, and simultaneously estimate both the kinetic parameters that govern these rates, and the activity levels of unobserved regulators that control them. We apply our approach to expression datasets from yeast and show that we can learn the unknown regulator activity profiles, as well as the binding affinity parameters. We also introduce a novel structure learning algorithm, and demonstrate its power to accurately reconstruct the regulatory network from those datasets.

Binding Sites↗
PubMed2006

Utility of cleavable isotope-coded affinity-tagged reagents for quantification of low-copy proteins induced by methylprednisolone using liquid chromatography/tandem mass spectrometry.

Gene expression changes underlie important biological and pharmacological responses. Although mRNA expression profiling is routine, quantification of low-abundance proteins, which typically represent key effectors of responses, remains challenging. A novel strategy was developed for sensitive and accurate quantification of low-abundance proteins in highly complex biological matrixes. First, the cysteine specificity of cleavable isotope-coded affinity tags (cICAT) was employed to reduce the complexity of the digested proteome of tissue homogenates and to improve the quantification of low-abundance proteins. Second, cICAT-treated tissue samples were analyzed on a capillary LC coupled to an ion trap MS to screen for the subset of cICAT-peptides, derived from target proteins of interest, that was successfully labeled and retrieved. Third, putatively identified peptides derived from target proteins were synthesized, cICAT-labeled, and used both to optimize multiple reactions monitoring (MRM) analysis and to confirm chromatographic retention time and fragmentation pattern. Finally, batch quantification of target peptides was performed using MRM on a LC/triple-quad MS/MS using (12)C- (control) and (13)C (experimental)-cICAT-labeled tissue mixtures. The utility of this method was demonstrated by elucidating the time-course of tyrosine aminotransferase induction in the liver of rats following treatment with the corticosteroid methylprednisolone (MPL). This approach significantly improved quantitative sensitivity, and the linear range was 10-fold greater than published previously. An additional advantage is that archived samples may be reinterrogated to investigate the regulation of additional targets that become of interest. Stored samples were sucessfully reinterrogated to monitor the induction of ornithine decarboxylase, which is also an MPL-induced protein. To our knowledge, this is the first report of an ICAT-based method that is capable of quantifying low-abundance proteins in highly complex samples, such as tissue homogenates. The approach enables simultaneous quantification of multiple effector proteins induced by biological or pharmacological stimuli, and the processed samples can be interrogated repeatedly as additional targets of interest arise.

Affinity Labels↗
PubMed2003

Subnetwork hierarchies of biochemical pathways.

MOTIVATION: The vastness and complexity of the biochemical networks that have been mapped out by modern genomics calls for decomposition into subnetworks. Such networks can have inherent non-local features that require the global structure to be taken into account in the decomposition procedure. Furthermore, basic questions such as to what extent the network (graph theoretically) can be said to be built by distinct subnetworks are little studied. RESULTS: We present a method to decompose biochemical networks into subnetworks based on the global geometry of the network. This method enables us to analyze the full hierarchical organization of biochemical networks and is applied to 43 organisms from the WIT database. Two types of biochemical networks are considered: metabolic networks and whole-cellular networks (also including for example information processes). Conceptual and quantitative ways of describing the hierarchical ordering are discussed. The general picture of the metabolic networks arising from our study is that of a few core-clusters centred around the most highly connected substances enclosed by other substances in outer shells, and a few other well-defined subnetworks. AVAILABILITY: An implementation of our algorithm and other programs for analyzing the data is available from http://www.tp.umu.se/forskning/networks/meta/ SUPPLEMENTARY INFORMATION: Supplementary material is available at http://www.tp.umu.se/forskning/networks/meta/

Algorithms↗
PubMed2004

Statistical exploration of variation in quantitative two-dimensional gel electrophoresis data.

Two-dimensional gel electrophoresis is a major technique in global analysis at the protein level. This paper presents an examination of spot volume data from three gel sets with radioactively labeled yeast Saccharomyces cerevisiae proteins. A strong variance versus mean dependence in data was found to be stabilized by applying a shifted logarithmic transformation. However, transformed data showed a remaining substantial variance heterogeneity for different proteins. Furthermore, examination of studentized residuals revealed that transformed data were approximately normally distributed and that there were spatial correlations among the measurement errors in the gel.

Analysis of Variance↗
PubMed2007

Two-dimensional differential gel electrophoresis of rat heart proteins in ischemia and ischemia-reperfusion.

Ischemia-reperfusion injury occurs in acute myocardial infarction, cardiopulmonary bypass surgery, and heart transplantation. However the precise mechanisms still remain unclear. In order to identify proteins that are involved in ischemia-reperfusion injury, we compared precipitated 100,000g fractions of normal, ischemic, and ischemic-reperfused rat hearts using two-dimensional (2D) difference gel electrophoresis (2D-DIGE). 2D-DIGE is reliable method to define quantitative protein differences, especially when subtle protein changes are under investigation. In this study, six spots that changed more than twofold and two additional spots related to these spots were detected. Five of the spots were identified by matrix-assisted laser desorption/ionization time of flight mass spectrometry as protein disulfide isomerase, one as 60 kDa heat-shock protein, and two as elongation factor Tu.

Animals↗
PubMed2006

Protein array staining methods for undefined protein content, manufacturing quality control, and performance validation.

Methods to assess the quality and performance of protein microarrays fabricated from undefined protein content are required to elucidate slide-to-slide variability and interpolate resulting signal intensity values after an interaction assay. We therefore developed several simple total- and posttranslational modification-specific, on-chip staining methods to quantitatively assess the quality of gel element protein arrays manufactured with whole-cell lysate in vitro protein fractions derived from two-dimensional liquid-phase fractionation (PF2D) technology. A linear dynamic range of at least 3 logs was observed for protein stains and immobilized protein content, with a lower limit of detection at 8 pg of protein per gel element with Deep Purple protein stain and a field-portable microarray imager. Data demonstrate the successful isolation, separation, transfer, and immobilization of putative transmembrane proteins from Yersinia pestis KIM D27 with the combined PF2D and gel element array method. Internal bovine serum albumin standard curves provided a method to assess on-chip PF2D transfer and quantify total protein immobilized per gel element. The basic PF2D array fabrication and quality assurance/quality control methods described here therefore provide a standard operating procedure and basis for developing whole-proteome arrays for interrogating host-pathogen interactions, independent of sequenced genomes, affinity tags, or a priori knowledge of target cell composition.

Animals↗
PubMed2006

Phosphoproteomic approaches to elucidate cellular signaling networks.

Protein phosphorylation is crucial in the regulation of signaling pathways that control various biological responses. Recent progress in diverse methodologies to investigate protein phosphorylation in complex biological samples has resulted in more rapid, detailed and quantitative analyses of signaling networks. In particular, advances in mass spectrometry (MS) have enabled the identification and quantification of thousands of both known and novel phosphorylation sites. Initial MS-based information can be complemented with a variety of recently developed and improved phosphoproteomic techniques. These include multiplexed microbead or kinase activity assays, flow cytometry based single-cell analysis, protein microarrays and interaction studies. The combination of multiple approaches, coupled with phenotypic response measurements, computational modeling and biochemical manipulations, will ultimately reveal the mechanistic regulation of signaling networks.

Animals↗
PubMed2025

Quantitative Profiling of Histone Variants and Posttranslational Modifications by Tandem Mass Spectrometry in Arabidopsis.

Histone dynamics constitute an important layer of gene regulations associated with development and growth in multicellular eukaryotes. They also stand as key determinants of plant responses to environmental changes. Histone dynamics include the exchange of histone variants as well as post-translational modifications of their amino acid residues (such as acetylation and mono/di/trimethylation), commonly referred to as histone marks. Investigating histone dynamics with a focus on combinatorial changes occurring at their residues will greatly help unravel how plants achieve phenotypic plasticity.Mass spectrometry (MS) analysis offers unequaled resolution of the abundance of histone variants and of their marks. Indeed, relative to other techniques such as western blot or genome-wide profiling, this powerful technique allows quantifying the relative abundances of histone forms, as well as revealing coexisting marks on the same histone molecule. Yet, while MS-based histone analysis has proven efficient in several animals and other model organisms, this method stands out as more challenging in plants. One major challenge is the isolation of sufficient amounts of pure, high-quality histones, likely rendered difficult by the presence of the cell wall, for sufficiently deep and resolutive identification of histone species.In this chapter, we describe a straightforward MS-based proteomic method, implemented to characterize histone marks from Arabidopsis thaliana seedling tissues and cell culture suspensions. After acid extraction of histones, in vitro propionylation of free lysine residues, and digestion with trypsin, a treatment at highly basic pH allows obtaining sharp spectral signals of biologically relevant histone peptide forms.The method workflow described here shall be used to measure changes in histone marks between Arabidopsis thaliana genotypes, along developmental time-courses, or upon various stresses and treatments.

Histones↗
PubMed2022

Cystic Fibrosis Airway Mucus Hyperconcentration Produces a Vicious Cycle of Mucin, Pathogen, and Inflammatory Interactions that Promotes Disease Persistence.

The dynamics describing the vicious cycle characteristic of cystic fibrosis (CF) lung disease, initiated by stagnant mucus and perpetuated by infection and inflammation, remain unclear. Here we determine the effect of the CF airway milieu, with persistent mucoobstruction, resident pathogens, and inflammation, on the mucin quantity and quality that govern lung disease pathogenesis and progression. The concentrations of MUC5AC and MUC5B were measured and characterized in sputum samples from subjects with CF (N = 44) and healthy subjects (N = 29) with respect to their macromolecular properties, degree of proteolysis, and glycomics diversity. These parameters were related to quantitative microbiome and clinical data. MUC5AC and MUC5B concentrations were elevated, 30- and 8-fold, respectively, in CF as compared with control sputum. Mucin parameters did not correlate with hypertonic saline, inhaled corticosteroids, or antibiotics use. No differences in mucin parameters were detected at baseline versus during exacerbations. Mucin concentrations significantly correlated with the age and sputum human neutrophil elastase activity. Although significantly more proteolytic cleavages were detected in CF mucins, their macromolecular properties (e.g., size and molecular weight) were not significantly different than control mucins, likely reflecting the role of S-S bonds in maintaining multimeric structures. No evidence of giant mucin macromolecule reflecting oxidative stress-induced cross-linking was found. Mucin glycomic analysis revealed significantly more sialylated glycans in CF, and the total abundance of nonsulfated O-glycans correlated with the relative abundance of pathogens. Collectively, the interaction of mucins, pathogens, epithelium, and inflammatory cells promotes proteomic and glycomic changes that reflect a persistent mucoobstructive, infectious, and inflammatory state.

Cystic Fibrosis↗
PubMed2006

Transcriptional profiling of Alzheimer blood mononuclear cells by microarray.

We evaluated pathomechanisms and systemic manifestations of Alzheimer disease (AD), an aging-related dementing neurodegenerative disorder, by expression profiling. Blood mononuclear cell (BMC) transcriptomes of sporadic AD subjects and aged-matched normal elderly controls (NEC) were compared using the human NIA microarray. Relative to the NEC samples, the Alzheimer BMC exhibited a significant decline in the expression of genes concerned with cytoskeletal maintenance, cellular trafficking, cellular stress response, redox homeostasis, transcription and DNA repair. We observed decreased expression of several genes which may impact amyloid-beta production and the processing of the microtubule-associated protein tau. The microarray results were validated by quantitative real time PCR and revealed gender differences in the levels of altered gene expression. Our findings attest to the systemic nature of gene dys-regulation in sporadic AD, implicate disruption of cytoskeletal integrity, DNA repair mechanisms and cellular defenses in this condition, and suggest novel pathways of beta-amyloid deposition in this disease. BMC are highly accessible and may reflect molecular events germane to the neuropathophysiology of AD.

Aged↗
PubMedDate not supplied

Phosphoproteome analysis.

Protein phosphorylation is directly or indirectly involved in all important cellular events. The understanding of its regulatory role requires the discovery of the proteins involved in these processes and how, where and when protein phosphorylation takes place. Investigation of the phosphoproteome of a cell is becoming feasible today although it still represents a very difficult task especially if quantitative comparisons have to be made. Several different experimental strategies can be employed to explore phosphoproteomes and this review will cover the most important ones such as incorporation of radiolabeled phosphate into proteins, application of specific antibodies against phosphorylated residues and direct staining of phosphorylated proteins in polyacrylamide gels. Moreover, methods to enrich phosphorylated proteins such as affinity chromatography (IMAC) and immunoprecipitation as well as mass spectrometry for identification of phosphorylated peptides and phosphorylation sites are also described.

Acrylic Resins↗
PubMed2005

Cold shock of a hyperthermophilic archaeon: Pyrococcus furiosus exhibits multiple responses to a suboptimal growth temperature with a key role for membrane-bound glycoproteins.

The hyperthermophilic archaeon, Pyrococcus furiosus, was grown on maltose near its optimal growth temperature, 95 degrees C, and at the lower end of the temperature range for significant growth, 72 degrees C. In addition, cultures were shocked by rapidly dropping the temperature from 95 to 72 degrees C. This resulted in a 5-h lag phase, during which time little growth occurred. Transcriptional analyses using whole-genome DNA microarrays representing 2,065 open reading frames (ORFs) in the P. furiosus genome showed that cells undergo three very different responses at 72 degrees C: an early shock (1 to 2 h), a late shock (5 h), and an adapted response (occurring after many generations at 72 degrees C). Each response involved the up-regulation in the expression of more than 30 ORFs unique to that response. These included proteins involved in translation, solute transport, amino acid biosynthesis, and tungsten and intermediary carbon metabolism, as well as numerous conserved-hypothetical and/or membrane-associated proteins. Two major membrane proteins were evident after one-dimensional sodium dodecyl sulfate-gel analysis of cold-adapted cells, and staining revealed them to be glycoproteins. Their cold-induced expression evident from the DNA microarray analysis was confirmed by quantitative PCR. Termed CipA (PF0190) and CipB (PF1408), both appear to be solute-binding proteins. While the archaea do not contain members of the bacterial cold shock protein (Csp) family, they all contain homologs of CipA and CipB. These proteins are also related phylogenetically to some cold-responsive genes recently identified in certain bacteria. The Cip proteins may represent a general prokaryotic-type cold response mechanism that is present even in hyperthermophilic archaea.

Adaptation, Physiological↗
PubMed2006

Surface plasmon resonance mass spectrometry for protein analysis.

The combination of surface plasmon pesonance (SPR) and mass spectrometry (MS) provides a unique methodology for studying proteins and their interactions. SPR is utilized to assess protein quantitative variations and the kinetic aspects of protein interactions, whereas MS complements the analysis by providing an exclusive look at the structural features of the interacting proteins via measurement of their mass. Thus, intrinsic protein structural modifications that go unregistered via the SPR detection can readily be assessed from the MS data. The purpose of this chapter is dissemination of the procedures and protocols for successful SPR-MS analysis. The individual steps of the complete SPRMS process are illustrated via analysis of cardiac troponin I (cTnI).

Biosensing Techniques↗
PubMed2002

Selective detection of membrane proteins without antibodies: a mass spectrometric version of the Western blot.

A method has been developed, called the mass western experiment in analogy to the Western blot, to detect the presence of specific proteins in complex mixtures without the need for antibodies. Proteins are identified with high sensitivity and selectivity, and their abundances are compared between samples. Membrane protein extracts were labeled with custom isotope-coded affinity tag reagents and digested, and the labeled peptides were analyzed by liquid chromatography-tandem mass spectrometry. Ions corresponding to anticipated tryptic peptides from the proteins of interest were continuously subjected to collision-induced dissociation in an ion trap mass spectrometer; heavy and light isotope-coded affinity tag-labeled peptides were simultaneously trapped and fragmented accomplishing identification and quantitation in a single mass spectrum. This application of ion trap selective reaction monitoring maximizes sensitivity, enabling analysis of peptides that would otherwise go undetected. The cell surface proteins prostate stem cell antigen (PSCA) and ErbB2 were detected in prostate and breast tumor cell lines in which they are expressed in known abundances spanning orders of magnitude.

Amino Acid Sequence↗
PubMed2006

Immune gene networks of mycobacterial vaccine-elicited cellular responses and immunity.

Gene networks of protective lymphocytes after immune activation with live attenuated vaccines remain poorly characterized. Because Mycobacterium bovis bacille Calmette-Guérin (BCG) vaccine can confer protection against fatal forms of tuberculosis in humans and monkeys, we made use of macaque models to optimally study immune gene networks after BCG vaccination/infection. We first established and validated a large-scale real-time quantitation system and then used it to measure expression levels of 138 immune genes after BCG vaccination/infection of rhesus macaques. Systemic BCG vaccination induced up to 600-fold increases in expression of 78 immune genes among the 138 genes tested at the time when BCG-elicited T cell responses and immunity were apparent. These up-regulated transcripts constituted multiple gene networks that were linked to various aspects of immune function. Surprisingly, the up-regulation of most of these immune genes in the gene networks occurred at 1 week and was sustained at > or = 6 weeks after BCG vaccination/infection. Although early activation of immune gene networks was an immune correlate of anti-BCG immunity, prolonged up-regulation of these networks coincided with the development of vaccine-elicited T cell responses after BCG vaccination/infection. These findings provide molecular evidence suggesting that the BCG-induced gene networks may represent global transcriptomes and proteomes underlying the development of T cell responses and, ultimately, immunity to mycobacteria.

Animals↗
PubMed2002

The IUPS Physiome Project. International Union of Physiological Sciences.

Modern medicine is currently benefiting from the development of new genomic and proteomic techniques, and also from the development of ever more sophisticated clinical imaging devices. This will mean that the clinical assessment of a patient's medical condition could, in the near future, include information from both diagnostic imaging and DNA profile or protein expression data. The Physiome Project of the International Union of Physiological Sciences (IUPS) is attempting to provide a comprehensive framework for modelling the human body using computational methods which can incorporate the biochemistry, biophysics and anatomy of cells, tissues and organs. A major goal of the project is to use computational modelling to analyse integrative biological function in terms of underlying structure and molecular mechanisms. To support that goal the project is establishing web-accessible physiological databases dealing with model-related data, including bibliographic information, at the cell, tissue, organ and organ system levels. This paper discusses the development of comprehensive integrative mathematical models of human physiology based on patient-specific quantitative descriptions of anatomical structures and models of biophysical processes which reach down to the genetic level.

Biophysics↗