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Chemically modified, immobilized trypsin reactor with improved digestion efficiency.

Tryptic digestion followed by identification using mass spectrometry is an important step in many proteomic studies. Here, we describe the preparation of immobilized, acetylated trypsin for enhanced digestion efficacy in integrated protein analysis platforms. Complete digestion of cytochrome c was obtained with two types of modified-trypsin beads with a contact time of only 4 s, while corresponding unmodified-trypsin beads gave only incomplete digestion. The digestion rate of myoglobin, a protein known to be rather resistant to proteolysis, was not altered by acetylating trypsin and required a buffer containing 35% acetonitrile to obtain complete digestion. The use of acetylated-trypsin beads led to fewer interfering tryptic autolysis products, indicating an increased stability of this modified enzyme. Importantly, the modification did not affect trypsin's substrate specificity, as the peptide map of myoglobin was not altered upon acetylation of immobilized trypsin. Kinetic digestion experiments in solution with low-molecular-weight substrates and cytochrome c confirmed the increased catalytic efficiency (lower K(M) and higher k(cat)) and increased resistance to autolysis of trypsin upon acetylation. Enhancement of catalytic efficiency was correlated with the number of acetylations per molecule. The favorable properties of the new chemically modified trypsin reactor should make it a valuable tool in automated protein analysis systems.

Acetonitriles↗

From genes to proteins: high-throughput expression and purification of the human proteome.

The development of high-throughput methods for gene discovery has paved the way for the design of new strategies for genome-scale protein analysis. Lawrence Livermore National Laboratory and Onyx Pharmaceuticals, Inc., have produced an automatable system for the expression and purification of large numbers of proteins encoded by cDNA clones from the IMAGE (Integrated Molecular Analysis of Genomes and Their Expression) collection. This high-throughput protein expression system has been developed for the analysis of the human proteome, the protein equivalent of the human genome, comprising the translated products of all expressed genes. Functional and structural analysis of novel genes identified by EST (Expressed Sequence Tag) sequencing and the Human Genome Project will be greatly advanced by the application of this high-throughput expression system for protein production. A prototype was designed to demonstrate the feasibility of our approach. Using a PCR-based strategy, 72 unique IMAGE cDNA clones have been used to create an array of recombinant baculoviruses in a 96-well microtiter plate format. Forty-two percent of these cDNAs successfully produced soluble, recombinant protein. All of the steps in this process, from PCR to protein production, were performed in 96-well microtiter plates, and are thus amenable to automation. Each recombinant protein was engineered to incorporate an epitope tag at the amino terminal end to allow for immunoaffinity purification. Proteins expressed from this system are currently being analyzed for functional and biochemical properties.

Cloning, Molecular↗

Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway.

Cellular processes such as proliferation, differentiation, and adaptation to environmental changes are regulated by protein phosphorylation. Development of sensitive and comprehensive analytical methods for determination of protein phosphorylation is therefore a necessity in the pursuit of a detailed molecular view of complex biological processes. We present a quantitative modification-specific proteomic approach that combines stable isotope labeling by amino acids in cell culture (SILAC) for quantitation with IMAC for phosphopeptide enrichment and three stages of mass spectrometry (MS/MS/MS) for identification. This integrated phosphoproteomic technology identified and quantified phosphorylation in key regulator and effector proteins of a prototypical G-protein-coupled receptor signaling pathway, the yeast pheromone response. SILAC encoding of yeast proteomes was achieved by incorporation of [(13)C(6)]arginine and [(13)C(6)]lysine in a double auxotroph yeast strain. Pheromone-treated yeast cells were mixed with SILAC-encoded cells as the control and lysed, and extracted proteins were digested with trypsin. Phosphopeptides were enriched by a combination of strong cation exchange chromatography and IMAC. Phosphopeptide fractions were analyzed by LC-MS using a linear ion trap-Fourier transform ion cyclotron resonance mass spectrometer. MS/MS and neutral loss-directed MS/MS/MS analysis allowed detection and sequencing of phosphopeptides with exceptional accuracy and specificity. Of more than 700 identified phosphopeptides, 139 were differentially regulated at least 2-fold in response to mating pheromone. Among these regulated proteins were components belonging to the mitogen-activated protein kinase signaling pathway and to downstream processes including transcriptional regulation, the establishment of polarized growth, and the regulation of the cell cycle.

Amino Acid Sequence↗

SYSTOMONAS--an integrated database for systems biology analysis of Pseudomonas.

To provide an integrated bioinformatics platform for a systems biology approach to the biology of pseudomonads in infection and biotechnology the database SYSTOMONAS (SYSTems biology of pseudOMONAS) was established. Besides our own experimental metabolome, proteome and transcriptome data, various additional predictions of cellular processes, such as gene-regulatory networks were stored. Reconstruction of metabolic networks in SYSTOMONAS was achieved via comparative genomics. Broad data integration is realized using SOAP interfaces for the well established databases BRENDA, KEGG and PRODORIC. Several tools for the analysis of stored data and for the visualization of the corresponding results are provided, enabling a quick understanding of metabolic pathways, genomic arrangements or promoter structures of interest. The focus of SYSTOMONAS is on pseudomonads and in particular Pseudomonas aeruginosa, an opportunistic human pathogen. With this database we would like to encourage the Pseudomonas community to elucidate cellular processes of interest using an integrated systems biology strategy. The database is accessible at http://www.systomonas.de.

Bacterial Proteins↗

Identification of protein associations in organelles, using mass spectrometry-based proteomics.

Recent literature that highlights the power of using mass spectrometry (MS) for protein identification from preparations of highly purified organelles and other large subcellular structures is covered in this review with an emphasis on techniques that preserve the integrity of the functional protein complexes. Recent advances in distinguishing contaminant proteins from "bonafide" organelle-localized proteins and the affinity capture of protein complexes are reviewed, as well as bioinformatic strategies to predict protein organellar localization and to integrate protein-protein interaction maps obtained from MS-affinity capture methods with data obtained from other techniques. Those developments demonstrate that a revolution in cellular biology, fueled by technical advances in MS-based proteomic techniques, is well underway.

Animals↗

Lectin affinity as an approach to the proteomic analysis of membrane glycoproteins.

The aim was to determine the proportion of membrane glycoproteins captured using concanavalin A or wheat germ agglutinin lectin affinity chromatography. Digests of the isolated proteins were separated by reversed-phase liquid chromatography and analyzed by matrix-assisted laser desorption tandem mass spectrometry. The two lectins identified different groups of proteins with a broad range of molecular mass and p/ values, including a number of proteins that overlapped the two groups. Approximately 30% of the proteins were positively identified as containing domains that were predicted using standard bioinformatics methods to be characteristic of integral membrane proteins. This approach represents an effective method of surveying the membrane protein pool of mammalian cells for subsequent proteomic analysis.

Cell Membrane↗

Role of proteomics in diagnosis of cancer.

Proteomic technologies have emerged as an important addition to the genomic and antibody-based technologies for the diagnosis of cancer. Important technologies include 2-D gel electrophoresis, mass spectrometry, laser capture microdissection, detection of molecular markers of cancer and protein patterns. For clinical applications, the most likely technologies to be used widely are protein biochips. Application of these technologies to various cancers are described. Proteomic technologies have a potential in developing molecular diagnostics and markers for the early detection of cancer. However, information from various diagnostic technologies should be integrated to obtain the optimal information required for clinical management of a patient.

Cell Nucleus↗

GénoPlante-Info (GPI): a collection of databases and bioinformatics resources for plant genomics.

Génoplante is a partnership program between public French institutes (INRA, CIRAD, IRD and CNRS) and private companies (Biogemma, Bayer CropScience and Bioplante) that aims at developing genome analysis programs for crop species (corn, wheat, rapeseed, sunflower and pea) and model plants (Arabidopsis and rice). The outputs of these programs form a wealth of information (genomic sequence, transcriptome, proteome, allelic variability, mapping and synteny, and mutation data) and tools (databases, interfaces, analysis software), that are being integrated and made public at the public bioinformatics resource centre of Génoplante: GénoPlante-Info (GPI). This continuous flood of data and tools is regularly updated and will grow continuously during the coming two years. Access to the GPI databases and tools is available at http://genoplante-info.infobiogen.fr/.

Alleles↗

Selective Enrichment of Newly Synthesized Proteins Using Phos-Tag Click Tip Enables Nascent Proteome Analysis in Influenza A Virus Infection.

Profiling of newly synthesized proteins (NSPs) provides access to dynamic changes in protein production that accompany acute cellular responses. Bioorthogonal noncanonical amino acid tagging (BONCAT)-based approaches enable selective labeling of NSPs; however, their broader application remains constrained by labor-intensive enrichment workflows and limited sensitivity for direct peptide-level analysis. Here, we developed a workflow termed "Phos-tag Click Tip" by integrating a phosphorylated variant of bicyclononyne (pBCN) with Phos-tag affinity purification to selectively capture azidohomoalanine (AHA)-labeled peptides for newly synthesized proteome analysis (NSProteomics). This approach overcomes key limitations of conventional proteomics and BONCAT-based strategies by enabling efficient enrichment and sensitive detection of NSP-derived peptides. Using this workflow, we performed comprehensive NSP profiling of host cells during influenza A virus infection. We identified dynamic changes in distinct NSP profiles associated with viral replication, host restriction, and immune responses, many of which were not readily detected with conventional whole-cell- or phospho-proteomic analyses. Overall, the Phos-tag Click Tip workflow provides a complementary approach for stimulus-responsive NSP profiling, offering functionally relevant insights into host-virus interactions and cellular response mechanisms.

Proteome↗

Interactome: gateway into systems biology.

Protein-protein interactions are fundamental to all biological processes, and a comprehensive determination of all protein-protein interactions that can take place in an organism provides a framework for understanding biology as an integrated system. The availability of genome-scale sets of cloned open reading frames has facilitated systematic efforts at creating proteome-scale data sets of protein-protein interactions, which are represented as complex networks or 'interactome' maps. Protein-protein interaction mapping projects that follow stringent criteria, coupled with experimental validation in orthogonal systems, provide high-confidence data sets immanently useful for interrogating developmental and disease mechanisms at a system level as well as elucidating individual protein function and interactome network topology. Although far from complete, currently available maps provide insight into how biochemical properties of proteins and protein complexes are integrated into biological systems. Such maps are also a useful resource to predict the function(s) of thousands of genes.

Animals↗

Identification of glycosylphosphatidylinositol-anchored proteins in Arabidopsis. A proteomic and genomic analysis.

In a recent bioinformatic analysis, we predicted the presence of multiple families of cell surface glycosylphosphatidylinositol (GPI)-anchored proteins (GAPs) in Arabidopsis (G.H.H. Borner, D.J. Sherrier, T.J. Stevens, I.T. Arkin, P. Dupree [2002] Plant Physiol 129: 486-499). A number of publications have since demonstrated the importance of predicted GAPs in diverse physiological processes including root development, cell wall integrity, and adhesion. However, direct experimental evidence for their GPI anchoring is mostly lacking. Here, we present the first, to our knowledge, large-scale proteomic identification of plant GAPs. Triton X-114 phase partitioning and sensitivity to phosphatidylinositol-specific phospholipase C were used to prepare GAP-rich fractions from Arabidopsis callus cells. Two-dimensional fluorescence difference gel electrophoresis and one-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis demonstrated the existence of a large number of phospholipase C-sensitive Arabidopsis proteins. Using liquid chromatography-tandem mass spectrometry, 30 GAPs were identified, including six beta-1,3 glucanases, five phytocyanins, four fasciclin-like arabinogalactan proteins, four receptor-like proteins, two Hedgehog-interacting-like proteins, two putative glycerophosphodiesterases, a lipid transfer-like protein, a COBRA-like protein, SKU5, and SKS1. These results validate our previous bioinformatic analysis of the Arabidopsis protein database. Using the confirmed GAPs from the proteomic analysis to train the search algorithm, as well as improved genomic annotation, an updated in silico screen yielded 64 new candidates, raising the total to 248 predicted GAPs in Arabidopsis.

Arabidopsis↗

Integrated analysis of multiple data sources reveals modular structure of biological networks.

It has been a challenging task to integrate high-throughput data into investigations of the systematic and dynamic organization of biological networks. Here, we presented a simple hierarchical clustering algorithm that goes a long way to achieve this aim. Our method effectively reveals the modular structure of the yeast protein-protein interaction network and distinguishes protein complexes from functional modules by integrating high-throughput protein-protein interaction data with the added subcellular localization and expression profile data. Furthermore, we take advantage of the detected modules to provide a reliably functional context for the uncharacterized components within modules. On the other hand, the integration of various protein-protein association information makes our method robust to false-positives, especially for derived protein complexes. More importantly, this simple method can be extended naturally to other types of data fusion and provides a framework for the study of more comprehensive properties of the biological network and other forms of complex networks.

Algorithms↗

Analysis of leaf proteome after UV-B irradiation in maize lines differing in sensitivity.

UV-B radiation causes diverse morphological and physiological responses in plants, but the underlying mechanisms governing these integrated responses are unknown. In this study, we systematically surveyed responses of maize leaves to UV-B radiation using DIGE 2D gels and identified selected proteins by mass spectrometry and immunodetection analysis. To identify changes in protein accumulation in response to UV-B radiation, a line (b, pl W23) deficient in flavonoid sunscreen compounds and hence similar to commercial corn was used. In addition, its proteome in natural UV-B conditions was compared with that of two maize landraces from high altitudes (Cacahuacintle and Confite Puneño) that have improved UV-B tolerance. Protein patterns in adult maize leaves (Zea mays) were documented after growth for 21 days in sunlight depleted of UV-B radiation or growth in sunlight including an 8-h UV-B supplementation during 1 day in the field. We found that there is a very high correlation between previously documented mRNA accumulation assessed by microarray hybridization and quantitative real time reverse transcription-PCR and protein expression after UV-B irradiation in leaves of W23. Multiple isoforms were confirmed for some proteins; at least one protein, pyruvate, phosphate dikinase, is regulated post-translationally by phosphorylation by UV-B exposure. Proteins differentially regulated by UV-B radiation in W23 with higher levels under similar UV-B conditions in high altitude plants were also identified. These could be genetically fixed traits conferring UV-B tolerance and offer clues to specific adaptations to living in high ambient UV-B conditions.

Amino Acid Sequence↗

Loss of transgelin in repeated bouts of ulcerative colitis-induced colon carcinogenesis.

Though ulcerative colitis (UC)-associated colon cancer develops from dysplastic lesions caused by chronic inflammation, the specific mechanistic link between chronic inflammation and carcinogenesis in colon has not been integrated into molecular understanding. We therefore established an experimental animal model for colitic cancer, and used proteomic analysis, based on 2-DE and MALDI-TOF MS, to identify proteins involved in colitic cancer. In our model, 6-week-old C57BL/6J mice were exposed to 15 cycles of dextran sodium sulfate (DSS), with each cycle consisting of 0.7% DSS for 1 week followed by distilled water for 10 days. Colorectal tumors developed in 22 of 24 mice (91.6%), with a tumor multiplicity of 1.727 per tumor-bearing mouse. Comparative 2-DE analysis showed that 38 protein spots were differentially expressed in colon tumors and normal colon. We identified 27 of these proteins, including GRP94, HSC70, enolase, prohibitin, and transgelin. The reduction of transgelin expression in mouse colon tumors was confirmed by Western blotting and immunohistochemistry. We also found that transgelin expression was significantly reduced in human colon tumors compared with adjacent nontumorous tissues. In conclusion, these results suggest that loss of transgelin could be a candidate for biomarker of repeated colitis-associated colon cancer.

Animals↗

A Standardized Protocol for Generating iPSC-Derived Human Microglia for Functional Genomic Assays.

Human induced pluripotent stem cell (iPSC)-derived microglia (iMG) provide an in vitro experimental system for studying human microglial biology, neuroinflammation, and genetic risk mechanisms associated with neurological disease. This chapter describes a standardized, scalable, and reproducible protocol for the differentiation of human iPSCs into functional microglia-like cells, with particular emphasis on applications in transcriptional and epigenomic network analysis. The protocol supports high-viability floating iMG production, compatibility with pooled CRISPR perturbation approaches, and downstream multiomic profiling, including single-cell RNA sequencing, chromatin accessibility assays, and proteomics. Detailed procedures are provided for iPSC maintenance, hematopoietic progenitor cell generation, microglial maturation, functional genomics integration, and quality control.

Humans↗

Plasma membrane of Synechocystis PCC 6803: a heterogeneous distribution of membrane proteins.

Proteomic studies carried out previously on the plasma membrane of Synechocystis have identified several peripheral and integral proteins. The distribution of these proteins along the membrane still remains obscure. In this study, the distribution of proteins along the plasma membrane of Synechocystis was carried out using subfractions, the right-side-out (RSO) and inside-out (ISO) vesicles, fractionated from a pure and specific fraction of the plasma membrane. These subfractions were analyzed and quantified for several proteins by immunoblotting. It was found that the ISO fraction contained higher quantities of preD1, D1 and PsaD, the integral proteins of photosystem I and II known to be present also in the plasma membrane. Lower amounts of peripheral vesicle inducing protein Vipp1 and nitrate/nitrite binding protein NrtA were present in the ISO compared to the RSO fraction. On the contrary, the distribution of two integral transporter proteins, SbtA and PxcA, was found equal in both fractions. Our studies clearly establish that the plasma membrane of Synechocystis has a heterogeneous composition with respect to protein distribution. The accumulation of photosynthesis-associated proteins in the ISO fraction provides evidence that the discrete regions of the plasma membrane harbor sites for biogenesis of photosystems.

Bacterial Outer Membrane Proteins↗

Phenotypic effects of membrane protein overexpression in Saccharomyces cerevisiae.

Large-scale protein overexpression phenotype screens provide an important complement to the more common gene knockout screens. Here, we have targeted the so far poorly understood Saccharomyces cerevisiae membrane proteome and report growth phenotypes for a strain collection overexpressing approximately 600 C-terminally tagged integral membrane proteins grown both under normal and three different stress conditions. Although overexpression of most membrane proteins reduce the growth rate in synthetic defined medium, we identify a large number of proteins that, when overexpressed, confer specific resistance to various stress conditions. Our data suggest that regulation of glycosylphosphatidylinositol anchor biosynthesis and the Na(+)/K(+) homeostasis system constitute major downstream targets of the yeast PKA/RAS pathway and point to a possible connection between the early secretory pathway and the cells' response to oxidative stress. We also have quantified the expression levels for >550 membrane proteins, facilitating the choice of well expressing proteins for future functional and structural studies.

Caffeine↗