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PubMed2004

Quantitative proteomics of the thyroid hormone receptor-coregulator interactions.

The thyroid hormone receptor regulates a diverse set of genes that control processes from embryonic development to adult homeostasis. Upon binding of thyroid hormone, the thyroid receptor releases corepressor proteins and undergoes a conformational change that allows for the interaction of coactivating proteins necessary for gene transcription. This interaction is mediated by a conserved motif, termed the NR box, found in many coregulators. Recent work has demonstrated that differentially assembled coregulator complexes can elicit specific biological responses. However, the mechanism for the selective assembly of these coregulator complexes has yet to be elucidated. To further understand the principles underlying thyroid receptor-coregulator selectivity, we designed a high-throughput in vitro binding assay to measure the equilibrium affinity of thyroid receptor to a library of potential coregulators in the presence of different ligands including the endogenous thyroid hormone T3, synthetic thyroid receptor beta-selective agonist GC-1, and antagonist NH-3. Using this homogenous method several coregulator NR boxes capable of associating with thyroid receptor at physiologically relevant concentrations were identified including ones found in traditional coactivating proteins such as SRC1, SRC2, TRAP220, TRBP, p300, and ARA70; and those in coregulators known to repress gene activation including RIP140 and DAX-1. In addition, it was discovered that the thyroid receptor-coregulator binding patterns vary with ligand and that this differential binding can be used to predict biological responses. Finally, it is demonstrated that this is a general method that can be applied to other nuclear receptors and can be used to establish rules for nuclear receptor-coregulator selectivity.

Amino Acid Motifs↗
PubMed2002

Subproteomics: identification of plasma membrane proteins from the yeast Saccharomyces cerevisiae.

As a consequence of their poor solubility during isoelectric focusing, integral membrane proteins are generally absent from two-dimensional gel proteome maps. In order to analyze the yeast plasma membrane proteome, a plasma membrane purification protocol was optimized in order to reduce contaminating membranes and cytosolic proteins. Specifically, the new fractionation scheme largely depleted the plasma membrane fraction of cytosolic proteins by deoxycholate stripping and ribosomal proteins by sucrose gradient flotation. The plasma membrane complement was resolved by two-dimensional electrophoresis using the cationic detergent cetyl trimethyl ammonium bromide in the first, and sodium dodecyl sulfate in the second dimension, and fifty spots were identified by matrix-assisted laser desorption/ionization-time of flight mass spectometry. In spite of the presence of still contaminating ribosomal proteins, major proteins corresponded to known plasma membrane residents, the ABC transporters Pdr5p and Snq2p, the P-type H(+)-ATPase Pma1p, the glucose transporter Hxt7p, the seven transmembrane-span Mrh1p, the low affinity Fe(++) transporter Fet4p, the twelve-span Ptr2p, and the plasma membrane anchored casein kinase Yck2p. The four transmembrane-span proteins Sur7p and Nce102p were also present in the isolated plasma membranes, as well as the unknown protein Ygr266wp that probably contains a single transmembrane span. Thus, combining subcellular fractionation with adapted two-dimensional electrophoresis resulted in the identification of intrinsic plasma membrane proteins.

Cell Fractionation↗
PubMed2005

Ectoine-induced proteins in Sinorhizobium meliloti include an Ectoine ABC-type transporter involved in osmoprotection and ectoine catabolism.

To understand the mechanisms of ectoine-induced osmoprotection in Sinorhizobium meliloti, a proteomic examination of S. meliloti cells grown in minimal medium supplemented with ectoine was undertaken. This revealed the induction of 10 proteins. The protein products of eight genes were identified by using matrix-assisted laser desorption ionization-time-of-flight mass spectrometry. Five of these genes, with four other genes whose products were not detected on two-dimensional gels, belong to the same gene cluster, which is localized on the pSymB megaplasmid. Four of the nine genes encode the characteristic components of an ATP-binding cassette transporter that was named ehu, for ectoine/hydroxyectoine uptake. This transporter was encoded by four genes (ehuA, ehuB, ehuC, and ehuD) that formed an operon with another gene cluster that contains five genes, named eutABCDE for ectoine utilization. On the basis of sequence homologies, eutABCDE encode enzymes with putative and hypothetical functions in ectoine catabolism. Analysis of the properties of ehuA and eutA mutants suggests that S. meliloti possesses at least one additional ectoine catabolic pathway as well as a lower-affinity transport system for ectoine and hydroxyectoine. The expression of ehuB, as determined by measurements of UidA activity, was shown to be induced by ectoine and hydroxyectoine but not by glycine betaine or by high osmolality.

ATP-Binding Cassette Transporters↗
PubMed2006

Differential binding studies applying functional protein microarrays and surface plasmon resonance.

A variety of different in vivo and in vitro technologies provide comprehensive insights in protein-protein interaction networks. Here we demonstrate a novel approach to analyze, verify and quantify putative interactions between two members of the S100 protein family and 80 recombinant proteins derived from a proteome-wide protein expression library. Surface plasmon resonance (SPR) using Biacore technology and functional protein microarrays were used as two independent methods to study protein-protein interactions. With this combined approach we were able to detect nine calcium-dependent interactions between Arg-Gly-Ser-(RGS)-His6 tagged proteins derived from the library and GST-tagged S100B and S100A6, respectively. For the protein microarray affinity-purified proteins from the expression library were spotted onto modified glass slides and probed with the S100 proteins. SPR experiments were performed in the same setup and in a vice-versa approach reversing analytes and ligands to determine distinct association and dissociation patterns of each positive interaction. Besides already known interaction partners, several novel binders were found independently with both detection methods, albeit analogous immobilization strategies had to be applied in both assays.

Biosensing Techniques↗
PubMed2001

Detection of epitope-tagged proteins in flow cytometry: fluorescence resonance energy transfer-based assays on beads with femtomole resolution.

Epitope tagging of expressed proteins is a versatile tool for the detection and purification of the proteins. This approach has been used in protein-protein interaction studies, protein localization, and immunoprecipitation. Among the most popular tag systems is the FLAG epitope tag, which is recognized by three monoclonal antibodies M1, M2, and M5. We describe novel approaches to the detection of epitope-tagged proteins via fluorescence resonance energy transfer on beads. We have synthesized and characterized biotinylated and fluorescein-labeled FLAG peptides and examined the binding of FLAG peptides to commercial streptavidin beads using flow cytometric analysis. A requirement of assay development is the elucidation of parameters that characterize the binding interactions between component systems. We have thus compiled a set of Kd values determined from a series of equilibrium binding experiments with beads, peptides, and antibodies. We have defined conditions for binding biotinylated and fluoresceinated FLAG peptides to beads. Site occupancies of the peptides were determined to be on the order of several million sites per bead and Kd values in the 0.3-2.0 nM range. The affinity for antibody attachment to peptides was determined to be in the low nanomolar range (less than 10 nM) for measurements on beads and solution. We demonstrate the applicability of this methodology to assay development, by detecting femtomole amounts of N-terminal FLAG-bacteria alkaline phosphatase fusion protein. These characterizations form the basis of generalizable and high throughput assays for proteins with known epitopes, for research, proteomic, or clinical applications.

Antibodies↗
PubMed2006

Proteins associated with disease and clinical course in pancreas cancer: a proteomic analysis of plasma in surgical patients.

New biomarkers for pancreas cancer are needed to improve its detection and management. We surveyed the plasma of patients undergoing surgical resection to identify proteins which change in abundance after complete resection of tumor. Using longitudinally collected specimens from surgical patients, we control for normal inter-individual variation which can confound cross-sectional analysis. Recent refinements in two-dimensional gel electrophoresis allowed us to quantify changes in low abundance plasma proteins with precision. To circumvent the traditional limitations of image analysis in comparing two-dimensional gels, we used fluorometric two-dimensional difference gel electrophoresis to resolve the proteins from pre- and post-surgical plasma from each patient on one physical gel. Furthermore, we increased the ability of our assay to detect low-abundance proteins by depleting the plasma of 12 high-abundance proteins with a multi-affinity column. Informative protein spots from 20 plasma samples across 10 patients were submitted for identification with mass-spectrometry. We identified a group of proteins which change consistently in plasma following complete resection of pancreas tumor. Furthermore, we identified proteins which correlate with post-surgical rapid recurrence of disease. With further identification and validation, the candidate biomarkers which we identify in this study may prove to be useful in the diagnosis, management and prognostication of patients with pancreas cancer.

Biomarkers↗
PubMed2006

Intrinsic disorder is a key characteristic in partners that bind 14-3-3 proteins.

Proteins named 14-3-3 can bind more than 200 different proteins, mostly (but not exclusively) when they are at a phosphorylated state. These partner proteins are involved in different cellular processes, such as cell signaling, transcription factors, cellular morphology, and metabolism; this suggests pleiotropic functionality for 14-3-3 proteins. Recent efforts to establish a rational classification of 14-3-3 binding partners showed neither structural nor functional relatedness in this group of proteins. Using three natural predictors of disorder in proteins, and the structural available information, we show that >90% of 14-3-3 protein partners contain disordered regions. This percentage is significantly high when compared with recent studies on cell signaling and cancer-related proteins or RNA chaperons. More important, almost all 14-3-3-binding sites are inside disordered regions, this reinforcing the importance of structural disorder in this class of proteins. We also propose that a disorder-to-order transition occurs in the binding of 14-3-3 proteins with their partners. We discuss the consequences of the latter for consensus binding sequences, specificity, affinity, and thermodynamic control.

14-3-3 Proteins↗
PubMed2006

The PDZ scaffold NHERF-2 interacts with mGluR5 and regulates receptor activity.

The two members of the group I metabotropic glutamate receptor family, mGluR1 and mGluR5, both couple to G(q) to mediate rises in intracellular calcium. The alternatively spliced C termini (CT) of mGluRs1 and 5are known to be critical for regulating receptor activity and to terminate in motifs suggestive of potential interactions with PDZ domains. We therefore screened the CTs of both mGluR1a and mGluR5 against a PDZ domain proteomic array. Out of 96 PDZ domains examined, the domain that bound most strongly to mGluR5-CT was the second PDZ domain of the Na(+)/H(+) exchanger regulatory factor 2 (NHERF-2). This interaction was confirmed by reverse overlay, and a single point mutation to the mGluR5-CT was found to completely disrupt the interaction. Full-length mGluR5 robustly associated with full-length NHERF-2 in cells, as assessed by co-immunoprecipitation and confocal microscopy experiments. In contrast, mGluR1a was found to bind NHERF-2 in vitro with a weaker affinity than mGluR5, and furthermore mGluR1a did not detectably associate with NHERF-2 in a cellular context. Immunohistochemical experiments revealed that NHERF-2 and mGluR5 exhibit overlapping patterns of expression in mouse brain, being found most abundantly in astrocytic processes and postsynaptic neuronal elements. In functional experiments, the interaction of NHERF-2 with mGluR5 in cells was found to prolong mGluR5-mediated calcium mobilization and to also potentiate mGluR5-mediated cell death, whereas coexpression of mGluR1a with NHERF-2 had no evident effects on mGluR1a functional activity. These observations reveal that NHERF-2 can selectively modulate mGluR5 signaling, which may contribute to cell-specific regulation of mGluR5 activity.

Animals↗
PubMed2006

Protein extraction from Mycobacterium avium subsp. paratuberculosis: Comparison of methods for analysis by sodium dodecyl sulphate polyacrylamide gel electrophoresis, native PAGE and surface enhanced laser desorption/ionization time of flight mass spectrometry.

Mycobacterium paratuberculosis causes Johne's disease, a chronic bowel disease in ruminants worldwide and is currently incurable. This study was conducted to compare methods for examining the proteome of M. paratuberculosis. SDS-PAGE, native PAGE and SELDI-TOF-MS were compared and the efficacy of various lysis buffers was assessed. Chaotropic agents (Urea CHAPS and potassium thiocyanate) and non-ionic detergent (Tween20 and Triton X-100) extracts were compared on three different ProteinChip surfaces along with two energy absorbing molecules (EAM): EAM-1 proprietary formulation and sinapinic acid (Ciphergen). Urea CHAPS was efficient for extraction of proteins and their detection on all the ProteinChip surfaces. However, potassium thiocyanate was the most effective buffer, leading to detection of the greatest number of protein peaks on the immobilized metal affinity chromatography (IMAC) surface. Sinapinic acid was more efficient than the EAM-1 proprietary formulation and resulted in additional peaks with higher intensity for both the low and the medium molecular weight range proteins. Intra-chip and inter-chip coefficient of variation for mass/charge varied from 0.01% to 0.07% and 0.00% to 0.08%, respectively. SELDI-TOF-MS was an efficient tool for the protein profiling of M. paratuberculosis and will be useful for investigation of novel proteins, although SDS-PAGE/2D gel electrophoresis is recommended for study of high molecular weight species. All buffers were suitable for protein extraction for SDS-PAGE, while Tween20 was best for native PAGE.

Bacterial Proteins↗
PubMed2006

Nanotechnologies in proteomics.

Progress in proteomic researches is largely determined by development and implementation of new methods for the revelation and identification of proteins in biological material in a wide concentration range (from 10(-3) M to single molecules). The most perspective approaches to address this problem involve (i) nanotechnological physicochemical procedures for the separation of multicomponent protein mixtures; among these of particular interest are biospecific nanotechnological procedures for selection of proteins from multicomponent protein mixtures with their subsequent concentration on solid support; (ii) identification and counting of single molecules by use of molecular detectors. The prototypes of biospecific nanotechnological procedures, based on the capture of ligand biomolecules by biomolecules of immobilized ligate and the concentration of the captured ligands on appropriate surfaces, are well known; these are affinity chromatography, magnetic biobeads technology, different biosensor methods, etc. Here, we review the most promising nanotechnological approaches for selection of proteins and kinetic characterization of their complexes based on these biospecific methods with subsequent MS/MS identification of proteins and protein complexes. Two major groups of methods for the analysis and identification of individual molecules and their complexes by use of molecular detectors will be reviewed: scanning probe microscopy (SPM) (including atomic-force microscopy) and cryomassdetector technology.

Biomarkers, Tumor↗
PubMed2006

Proteomic analysis of human meibomian gland secretions.

BACKGROUND/AIM: Human tears contain hundreds of proteins that may exert a significant influence on tear film stability, ocular surface integrity, and visual function. The authors hypothesise that many of these proteins originate from the meibomian gland. This study's aim was to begin to develop the proteomic methodology to permit the testing of their hypothesis. METHODS: Meibomian gland secretions were collected from the lower eyelids of adult volunteers and placed in a chloroform-methanol mixture. Samples were partitioned in a biphasic system and non-lipid phase materials were reduced, alkylated, and trypsin digested to obtain peptides for protein identification. This peptide mixture was separated by micro-capillary reverse phase chromatography and the effluent examined by nano-electrospray MS and data dependent MS/MS. SEQUEST software was used to identify proteins from the MS/MS spectra. RESULTS: The methodological approach to date has permitted the identification of more than 90 proteins in human meibomian gland secretions. Proteins include the alpha2-macroglobulin receptor, IgA alpha chain, farnesoid X activated receptor, interferon regulatory factor 3, lacritin precursor, lactotransferrin, lipocalin 1, lysozyme C precursor, potential phospholipid transporting ATPase IK, seven transmembrane helix receptor (also termed somatostatin receptor type 4), testes development related NYD-SP21 (also termed high affinity IgE receptor beta subunit), and TrkC tyrosine kinase. CONCLUSIONS: These findings indicate that the meibomian gland secretes a number of proteins into the tear film. It is quite possible that these proteins contribute to the dynamics of the tear film in both health and disease.

Adult↗
PubMed2003

Characterization and partial purification of protein fatty acyltransferase activity from rat liver.

The acylation of proteins through the addition of palmitate to cysteine residues is a common posttranslational modification for a variety of proteins, but the enzymology of this reversible modification has resisted elucidation. We developed a strategy to purify protein fatty acyltransferase (PAT) activity from rat livers that took advantage of recent knowledge on the cellular location and inhibition of PAT activity. We determined that three different thiolases have PAT activity in the presence of imidazole and therefore started the purification with a plasma membrane fraction to minimize the contamination with these enzymes. After detergent extraction of the plasma membrane fraction, the PAT activity was enriched about 90-fold by sequential chromatography including affinity chromatography to a cerulenin-based inhibitor of palmitoylation. The partially purified PAT activity (1) was lost with treatments to degrade or denature proteins, (2) could acylate tubulin, Galpha(i) and RGS16 and (3) showed a preference for palmitate and to a lesser degree other long-chain fatty acids. This purification procedure is a significant advance over previous efforts at PAT purification and a starting point for a proteomic approach for identification of mammalian PAT.

Acylation↗
PubMed2006

Phosphoproteome profiling of human skin fibroblast cells in response to low- and high-dose irradiation.

A hallmark of the response to high-dose radiation is the up-regulation and phosphorylation of proteins involved in cell cycle checkpoint control, DNA damage signaling, DNA repair, and apoptosis. Exposure of cells to low doses of radiation has well documented biological effects, but the underlying regulatory mechanisms are still poorly understood. The objective of this study is to provide an initial profile of the normal human skin fibroblast (HSF) phosphoproteome and explore potential differences between low- and high-dose irradiation responses at the protein phosphorylation level. Several techniques including Trizol extraction of proteins, methylation of tryptic peptides, enrichment of phosphopeptides with immobilized metal affinity chromatography (IMAC), nanoflow reversed-phase HPLC (nano-LC)/electrospray ionization, and tandem mass spectrometry were combined for analysis of the HSF cell phosphoproteome. Among 494 unique phosphopeptides, 232 were singly phosphorylated, while 262 peptides had multiple phosphorylation sites indicating the overall effectiveness of the IMAC technique to enrich both singly and multiply phosphorylated peptides. We observed approximately 1.9-fold and approximately 3.6-fold increases in the number of identified phosphopeptides in low-dose and high-dose samples respectively, suggesting both radiation levels stimulate cell signaling pathways. A 6-fold increase in the phosphorylation of cyclin dependent kinase (cdk) motifs was observed after low- dose irradiation, while high-dose irradiation stimulated phosphorylation of 3-phosphoinositide-dependent protein kinase-1 (PDK1) and AKT/RSK motifs 8.5- and 5.5-fold, respectively. High- dose radiation resulted in the increased phosphorylation of proteins involved in cell signaling pathways as well as apoptosis while low-dose and control phosphoproteins were broadly distributed among biological processes.

3-Phosphoinositide-Dependent Protein Kinases↗
PubMed2002

Mass spectrometry-based methods for phosphorylation site mapping of hyperphosphorylated proteins applied to Net1, a regulator of exit from mitosis in yeast.

Prior to anaphase in Saccharomyces cerevisiae, Cdc14 protein phosphatase is sequestered within the nucleolus and inhibited by Net1, a component of the RENT complex in budding yeast. During anaphase the RENT complex disassembles, allowing Cdc14 to migrate to the nucleus and cytoplasm where it catalyzes exit from mitosis. The mechanism of Cdc14 release appears to involve the polo-like kinase Cdc5, which is capable of promoting the dissociation of a recombinant Net1.Cdc14 complex in vitro by phosphorylation of Net1. We report here the phosphorylation site mapping of recombinant Net1 (Net1N) and a mutant Net1N allele (Net1N-19m) with 19 serines or threonines mutated to alanine. A variety of chromatographic and mass spectrometric-based strategies were used, including immobilized metal-affinity chromatography, alkaline phosphatase treatment, matrix-assisted laser-desorption post-source decay, and a multidimensional electrospray mass spectrometry-based approach. No one approach was able to identify all phosphopeptides in the tryptic digests of these proteins. Most notably, the presence of a basic residue near the phosphorylated residue significantly hampered the ability of alkaline phosphatase to hydrolyze the phosphate moiety. A major goal of research in proteomics is to identify all proteins and their interactions and post-translational modification states. The failure of any single method to identify all sites in highly phosphorylated Net1N, however, raises significant concerns about how feasible it is to map phosphorylation sites throughout the proteome using existing technologies.

Amino Acid Sequence↗
PubMed2006

Identification of novel proteins associated with both alpha-synuclein and DJ-1.

The molecular mechanisms leading to neurodegeneration in Parkinson disease (PD) remain elusive, although many lines of evidence have indicated that alpha-synuclein and DJ-1, two critical proteins in PD pathogenesis, interact with each other functionally. The investigation on whether alpha-synuclein directly interacts with DJ-1 has been controversial. In the current study, we analyzed proteins associated with alpha-synuclein and/or DJ-1 with a robust proteomics technique called stable isotope labeling by amino acids in cell culture (SILAC) in dopaminergic MES cells exposed to rotenone versus controls. We identified 324 and 306 proteins in the alpha-synuclein- and DJ-1-associated protein complexes, respectively. Among alpha-synuclein-associated proteins, 141 proteins displayed significant changes in the relative abundance (increase or decrease) after rotenone treatment; among DJ-1-associated proteins, 119 proteins displayed significant changes in the relative abundance after rotenone treatment. Although no direct interaction was observed between alpha-synuclein and DJ-1, whether analyzed by affinity purification followed by mass spectrometry or subsequent direct co-immunoprecipitation, 144 proteins were seen in association with both alpha-synuclein and DJ-1. Of those, 114 proteins displayed significant changes in the relative abundance in the complexes associated with alpha-synuclein, DJ-1, or both after rotenone treatment. A subset of these proteins (mortalin, nucleolin, grp94, calnexin, and clathrin) was further validated for their association with both alpha-synuclein and DJ-1 using confocal microscopy, Western blot, and/or immunoprecipitation. Thus, we not only confirmed that there was no direct interaction between alpha-synuclein and DJ-1 but also, for the first time, report these five novel proteins to be associating with both alpha-synuclein and DJ-1. Further characterization of these docking proteins will likely shed more light on the mechanisms by which DJ-1 modulates the function of alpha-synuclein, and vice versa, in the setting of PD.

Animals↗
PubMed2006

Structural prediction of peptides binding to MHC class I molecules.

Peptide binding to class I major histocompatibility complex (MHCI) molecules is a key step in the immune response and the structural details of this interaction are of importance in the design of peptide vaccines. Algorithms based on primary sequence have had success in predicting potential antigenic peptides for MHCI, but such algorithms have limited accuracy and provide no structural information. Here, we present an algorithm, PePSSI (peptide-MHC prediction of structure through solvated interfaces), for the prediction of peptide structure when bound to the MHCI molecule, HLA-A2. The algorithm combines sampling of peptide backbone conformations and flexible movement of MHC side chains and is unique among other prediction algorithms in its incorporation of explicit water molecules at the peptide-MHC interface. In an initial test of the algorithm, PePSSI was used to predict the conformation of eight peptides bound to HLA-A2, for which X-ray data are available. Comparison of the predicted and X-ray conformations of these peptides gave RMSD values between 1.301 and 2.475 A. Binding conformations of 266 peptides with known binding affinities for HLA-A2 were then predicted using PePSSI. Structural analyses of these peptide-HLA-A2 conformations showed that peptide binding affinity is positively correlated with the number of peptide-MHC contacts and negatively correlated with the number of interfacial water molecules. These results are consistent with the relatively hydrophobic binding nature of the HLA-A2 peptide binding interface. In summary, PePSSI is capable of rapid and accurate prediction of peptide-MHC binding conformations, which may in turn allow estimation of MHCI-peptide binding affinity.

Algorithms↗
PubMed2006

Detection of noncovalent complexes in biological samples by intensity fading and high-mass detection MALDI-TOF mass spectrometry.

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry has not yet contributed widely to the study of intact noncovalent biomolecular complexes, because MALDI is known to cause dissociation of the interaction partners and induce formation of nonspecific aggregates. Here, we present a new strategy to circumvent this problem. It is based on intensity fading (in the low m/z range) and high-mass detection MALDI mass spectrometry (MS), using a cryodetector (in the high m/z range), with and without chemical cross-linking of the interaction partners. The study focuses on noncovalent interactions between the human enzyme carboxypeptidase A (hCPA) and three protease inhibitors (PCI, TCI, and LCI) present in heterogeneous mixtures of other nonbinding molecules derived from a biological source, an extract from leech (Hirudo medicinalis). Another example involves an extract of the sea anemone Stichodactyla helianthus, which is used without previous fractionation to detect the specific complex between the enzyme trypsin and the endogenous SphI-1 inhibitor. The results give insight into the mechanism of intensity fading MS and demonstrate that the specificity of binding is greatly favored when the overall concentrations of the analytes (nonbinding molecules, protease inhibitor and target enzyme) present in a biological sample of interest are kept at low concentrations, in the sub-micromolar range. Higher concentrations may lead to unspecific interactions and the formation of aggregates both during the MALDI process and during reaction with the cross-linking reagents. This strategy is expected to advance the field of high-throughput affinity-based approaches, by taking advantage of a new generation of high mass detectors for MALDI-TOF instruments.

Animals↗
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↗