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Results for “Integrated proteomics”

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At least 793 records · Page 44Linked to original sources

PubMed2001

Targeted proteomics in the kidney using ensembles of antibodies.

Building on extensive physiological characterization of sodium transport mechanisms along the renal tubule over the past 30 years, complementary DNAs for almost all of the major transporters and channels responsible for renal tubular sodium reabsorption have been cloned over the past 10 years. The consequence is the generation of a broad range of cDNA and antibody probes which can be used to investigate physiological mechanisms on a molecular level. An ensemble of such probes can be exploited for comprehensive analysis of integrative physiological processes, approaches which are referred to as 'physiological genomics' or 'physiological proteomics'. In this review, we describe a targeted proteomic approach to comprehensive analysis of sodium transporter and water channel protein abundance along the renal tubule using an ensemble of rabbit polyclonal antibodies directed to the major sodium transporters and water channels expressed in each renal tubule segment. We discuss preparation and characterization of the antibodies, strategies for quantification of transporter protein abundance, and provide examples of the application of antibody-based targeted proteomics analysis of kidney tissue, revealing the effects of elevations of circulating aldosterone levels and circulating vasopressin levels on sodium transporter, sodium channel, and water channel abundance in kidney.

Animals↗

PubMed2004

Integrated analysis of the genome and the transcriptome by FANTOM.

The key to reliable annotation of a mammalian genome is broad characterisation of the transcriptional output, the transcriptome. FANTOM, the functional annotation of mouse cDNA, is a large-scale analysis of both the genome and the transcriptome of the mouse. In the early days of this work, the transcripts were characterised using our sophisticated methods. After the timely release of the first draft of mouse genome sequences, interesting information was obtained by its integration with these one-by-one annotations. Moreover, each transcript included its expression profile. Here, the two integrated annotation methods used by FANTOM are reviewed: one-by-one and categorised. One-by-one annotation refers to naming carried out based on well-known transcripts or its fragments using the top-down-style pipeline developed mostly by the FANTOM project. Categorised annotation, which refers to transcript grouping, not only helps naming of unknown transcripts, but will be the most utilised method for integration of the genome and the transcriptome from now on.

Abstracting and Indexing↗

PubMed2007

Proteomics analysis of the interactome of N-myc downstream regulated gene 1 and its interactions with the androgen response program in prostate cancer cells.

NDRG1 is known to play important roles in both androgen-induced cell differentiation and inhibition of prostate cancer metastasis. However, the proteins associated with NDRG1 function are not fully enumerated. Using coimmunoprecipitation and mass spectrometry analysis, we identified 58 proteins that interact with NDRG1 in prostate cancer cells. These proteins include nuclear proteins, adhesion molecules, endoplasmic reticulum (ER) chaperons, proteasome subunits, and signaling proteins. Integration of our data with protein-protein interaction data from the Human Proteome Reference Database allowed us to build a comprehensive interactome map of NDRG1. This interactome map consists of several modules such as a nuclear module and a cell membrane module; these modules explain the reported versatile functions of NDRG1. We also determined that serine 330 and threonine 366 of NDRG1 were phosphorylated and demonstrated that the phosphorylation of NDRG1 was prominently mediated by protein kinase A (PKA). Further, we showed that NDRG1 directly binds to beta-catenin and E-cadherin. However, the phosphorylation of NDRG1 did not interrupt the binding of NDRG1 to E-cadherin and beta-catenin. Finally, we showed that the inhibition of NDRG1 expression by RNA interference decreased the ER inducible chaperon GRP94 expression, directly proving that NDRG1 is involved in the ER stress response. Intriguingly, we observed that many members of the NDRG1 interactome are androgen-regulated and that the NDRG1 interactome links to the androgen response network through common interactions with beta-catenin and heat shock protein 90. Therefore we overlaid the transcriptomic expression changes in the NDRG1 interactome in response to androgen treatment and built a dual dynamic picture of the NDRG1 interactome in response to androgen. This interactome map provides the first road map for understanding the functions of NDRG1 in cells and its roles in human diseases, such as prostate cancer, which can progress from androgen-dependent curable stages to androgen-independent incurable stages.

Androgens↗

PubMed2006

Parallel protein and transcript profiles of FSHD patient muscles correlate to the D4Z4 arrangement and reveal a common impairment of slow to fast fibre differentiation and a general deregulation of MyoD-dependent genes.

Here, we present the first study of a human neuromuscular disorder at transcriptional and proteomic level. Autosomal dominant facio-scapulo-humeral muscular dystrophy (FSHD) is caused by a deletion of an integral number of 3.3-kb KpnI repeats inside the telomeric region D4Z4 at the 4q35 locus. We combined a muscle-specific cDNA microarray platform with a proteomic investigation to analyse muscle biopsies of patients carrying a variable number of KpnI repeats. Unsupervised cluster analysis divides patients into three classes, according to their KpnI repeat number. Expression data reveal a transition from fast-glycolytic to slow-oxidative phenotype in FSHD muscle, which is accompanied by a deficit of proteins involved in response to oxidative stress. Besides, FSHD individuals show a disruption in the MyoD-dependent gene network suggesting a coregulation at transcriptional level during myogenesis. We also discuss the hypothesis that D4Z4 contraction may affect in trans the expression of a set of genes involved in myogenesis, as well as in the regeneration pathway of satellite cells in adult tissue. Muscular wasting could result from the inability of satellite cells to successfully differentiate into mature fibres and from the accumulation of structural damages caused by a reactive oxygen species (ROS) imbalance induced by an increased oxidative metabolism in fibres.

Adolescent↗

PubMed2005

Liver tumors in wild flatfish: a histopathological, proteomic, and metabolomic study.

Fish play host to viral, bacterial, and parasitic diseases in addition to non-infectious conditions such as cancer. The National Marine Monitoring Programme (NMMP) provides information to the U.K. Government on the health status of marine fish stocks. An aspect of this work relates to the presence of tumors and other pathologies in the liver of the offshore sentinel flatfish species, dab (Limanda limanda). Using internationally agreed quality assurance criteria, tumors and pre-tumors are diagnosed using histopathology. The current study has expanded upon this work by integrating these traditional diagnostic approaches with ones utilizing modern technologies for analysis of proteomic and metabolomic profiles of selected lesions. We have applied SELDI and FT-ICR technologies (for proteomic and metabolomic analyses, respectively) to tumor and non-tumor samples resected from the liver of dab. This combined approach has demonstrated how these technologies are able to identify protein and metabolite profiles that are specific to liver tumors. Using histopathology to classify "analysis groups" is key to the success of such an approach since it allows for elimination of spurious samples (e.g., those containing parasite infections) that may confuse interpretation of "omic" data. As such, the pathology laboratory plays a central role in collating information relating to particular specimens and in establishing sampling groups relative to specific diagnostic questions. In this study, we present pilot data, which illustrates that proteomics and metabolomics can be used to discriminate fish liver tumors and suggest future directions for work of this type.

Adenoma, Liver Cell↗

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↗

PubMed2005

The RCSB Protein Data Bank: a redesigned query system and relational database based on the mmCIF schema.

The Protein Data Bank (PDB) is the central worldwide repository for three-dimensional (3D) structure data of biological macromolecules. The Research Collaboratory for Structural Bioinformatics (RCSB) has completely redesigned its resource for the distribution and query of 3D structure data. The re-engineered site is currently in public beta test at http://pdbbeta.rcsb.org. The new site expands the functionality of the existing site by providing structure data in greater detail and uniformity, improved query and enhanced analysis tools. A new key feature is the integration and searchability of data from over 20 other sources covering genomic, proteomic and disease relationships. The current capabilities of the re-engineered site, which will become the RCSB production site at http://www.pdb.org in late 2005, are described.

Databases, Protein↗

PubMed2007

Mapping pathways downstream of sphingosine 1-phosphate subtype 1 by differential chemical perturbation and proteomics.

Sphingosine 1-phosphate subtype 1 (S1P(1)) receptor agonists alter lymphocyte trafficking and endothelial barrier integrity in vivo. Among these is the potent, non-selective agonist, FTY720-P, whose mechanism of action has been suggested to correlate with S1P(1) down-regulation. Discovery of the in vivo active S1P(1)-selective agonist, SEW2871, has broadened our understanding of minimal requirements for S1P(1) function while highlighting differences regarding agonist effect on S1P(1) fate, because SEW2871 does not degrade S1P(1). To further understand the mechanism of agonist-induced S1P(1) down-regulation, we compared signaling and fate of human S1P(1)-green fluorescent protein (GFP) in stable 293 cells, using AFD-R, a chiral analog of FTY720-P, SEW2871, and S1P. Although all agonists acutely internalized S1P(1) to late endosomal vesicles and activated GTPgammaS(35) binding and pERK to similar maxima, only AFD-R led to significant S1P(1) down-regulation, as shown by GFP immunoprecipitation studies. Down-regulation was time- and concentration-dependent, was partially blocked by proteasomal inhibition and reversed by chloroquine and an antagonist to S1P(1). All agonists induced a receptor-associated increase in ubiquitination, with AFD-R inducing 3-fold more accumulation than S1P and being 3-4 logs more potent than SEW2871. The formation of AFD-R-receptor ubiquitin complex was inhibited by antagonist and chloroquine and was enhanced by proteasomal inhibition. Identification of proteins by PAGE liquid chromatography-tandem mass spectrometry in cells treated with AFD-R confirmed the co-migration of ubiquitin peptides with those of S1P(1) and GFP, relative to vehicle alone. These data suggest that the hierarchy of ubiquitin recruitment to S1P(1) (AFD-R > S1P > SEW2871) correlates with the efficiency of lysosomal receptor degradation and reflects intrinsic differences between agonists.

Cells, Cultured↗

PubMed2026

DeepPlaque: a scalable multimodal platform for Aβ pathology and cell analysis in Alzheimer's disease.

Histological analysis is essential for understanding disease pathology and the microenvironment, particularly in Alzheimer's disease (AD), characterized by beta-amyloid (Aβ) plaques that exist as diffuse, fibrillar, and core species, with distinct toxicity levels. However, accurate classification of Aβ plaque types in postmortem brain tissues and profiling of surrounding cells present significant challenges. To address these challenges, we developed "DeepPlaque", an integrated system featuring "PlaqueNet", a deep learning model for automated classification of Aβ plaque species from diverse imaging platforms. DeepPlaque includes automated workflows for cellular phenotyping and proteomic profiling through targeted laser microdissection. PlaqueNet achieves expert-level accuracy (AUC > 90%) in classifying the 3 major Aβ plaque species, supporting consistent and large-scale annotation. By integrating spatial cellular phenotyping with laser microdissection, DeepPlaque enables high-throughput proteomic analysis of Aβ plaque niches, revealing that microglia are more abundant around core and fibrillar Aβ plaques, with increased expression of apolipoprotein E and amyloid precursor protein in core Aβ plaques. This customizable platform enhances the molecular and cellular characterization of Aβ plaque-associated environments, providing critical insights into AD pathology.

Alzheimer Disease↗

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↗

PubMed2026

Uncovering the signaling networks of disseminated glioblastoma cells in vivo with INSIGHT.

Dysregulation of intracellular signaling networks underpins cancer. Yet, resolving signaling networks within distinct or rare cell types in cancer in vivo has been unattainable. Here we develop INSIGHT by integrating cell sorting with mass spectrometry to enable quantitative phosphoproteomics and proteomics of discrete cell types from fixed tissues. Using INSIGHT, we map the signaling network within disseminating glioblastoma cells from patient-derived xenografts implanted in mice. Disseminating tumor cells undergo a proteome-wide shift from proliferative to mesenchymal, neural progenitor-like cell states. In parallel, signaling network and global kinase activity are rewired, transitioning from cell cycle-associated circuitries to those governing synaptic function, neuronal migration, and ion channel activity. Changes begin at the tumor margin and persist in distant brain parenchyma. Hornerin and phosphorylation of Ca²⁺-permeable GluA2 at Y876 were identified as mediators of glioblastoma progression. INSIGHT enables systems-level dissection of cell-type-specific signaling circuitries in vivo across wide range of biological systems.

Glioblastoma↗

PubMedDate not supplied

The contribution of vascular basement membranes and extracellular matrix to the mechanics of tumor angiogenesis.

The goal of this review is to highlight the contribution of extracellular matrix and vascular basement membranes to the regulation of angiogenesis and tumor progression. Here we present a new concept that vascular basement membrane influences endothelial cells and possibly other cell types in a solid state assembled form, and also in a degraded solution state form. Depending on the structural integrity, composition and exposure of cryptic sites, the vascular basement membrane proteome exerts functional influences on proliferating and resting endothelial cells. This review provides the reader with an appreciation of this newly evolved concept in the area of vascular biology.

Animals↗

PubMed2002

The genome projects: implications for dental practice and education.

Information from the Human Genome Project (HGP) and the integration of information from related areas of study and technology will dramatically change health care for the craniofacial complex. Approaches to risk assessment and diagnosis, prevention, early intervention, and management of craniofacial conditions are and will continue to evolve through the application of this new knowledge. While this information will advance our health care abilities, it is clear that the dental profession will face challenges regarding the acquisition, application, transfer, and effective and efficient use of this knowledge with regards to dental research, dental education, and clinical practice. Unraveling the human genomic sequence now allows accurate diagnosis of numerous craniofacial conditions. However, the greatest oral disease burden results from dental caries and periodontal disease that are complex disorders having both hereditary and environmental factors determining disease risk, progression, and course. Disease risk assessment, prevention, and therapy, based on knowledge from the HGP, will likely vary markedly for the different complex conditions affecting the head and neck. Integration of Information from the human genome, comparative and microbial genomics, proteomics, bioinformatics, and related technologies will provide the basis for proactive prevention and intervention and novel and more efficient treatment approaches. Oral health care practitioners will increasingly require knowledge of human genetics and the application of new molecular-based diagnostic and therapeutic technologies.

Bacteria↗

PubMed2001

Integrated system for high-throughput protein identification using a microfabricated device coupled to capillary electrophoresis/nanoelectrospray mass spectrometry.

An integrated microsystem providing rapid analyses of trace-level tryptic digests for proteomics application is presented. This modular microsystem includes an autosampler and a microfabricated device comprising a sample introduction port and an array of separation channels together with a low dead-volume facilitating the interface to nanoelectrospray mass spectrometry. Sequential injection and separation of peptide standards and tryptic digests was achieved with a throughput of up to 30 samples per hour with less than 3% sample carryover. Replicate injections of peptide mixtures indicated that reproducibility of migration time was typically better than 2.3% relative standard deviation (RSD) whereas RSD values of 3.7-11.8% were observed on peak height. Mass spectral detection of submicromolar protein digests (< 7 femtomoles/injection) was achieved using a quadrupole/time of flight instrument in less than 2 min/per sample with peak widths of 1.8-7.0 s. The analytical potential of this integrated device for the identification of gel isolated proteins from Neisseria meningitidis immunotype L3 has been demonstrated using both peptide mass-fingerprint database searching and on-line tandem mass spectrometry.

Amino Acid Sequence↗

PubMed2006

Systems analyses characterize integrated functions of biochemical networks.

Metabolic, regulatory and signaling pathways have been characterized in detail over the past century. As the amount of genomic, proteomic and metabolic data has increased, and the mathematical and analytical capabilities of interrogating these data have advanced, the overlapping roles of pathway constituents have been described. These developments reflect the truly integrated nature of subcellular biochemical networks. Systems analyses, including the reconstruction of stoichiometric networks, provide a key set of tools for quantifying overlap among the metabolic, regulatory and signaling functions of network components. Accounting for this integration is crucial for accurately describing the function of biochemical networks.

Biochemistry↗

PubMed2024

Integration of Imaging-based and Sequencing-based Spatial Omics Mapping on the Same Tissue Section via DBiTplus.

Spatially mapping the transcriptome and proteome in the same tissue section can significantly advance our understanding of heterogeneous cellular processes and connect cell type to function. Here, we present Deterministic Barcoding in Tissue sequencing plus (DBiTplus), an integrative multi-modality spatial omics approach that combines sequencing-based spatial transcriptomics and image-based spatial protein profiling on the same tissue section to enable both single-cell resolution cell typing and genome-scale interrogation of biological pathways. DBiTplus begins with in situ reverse transcription for cDNA synthesis, microfluidic delivery of DNA oligos for spatial barcoding, retrieval of barcoded cDNA using RNaseH, an enzyme that selectively degrades RNA in an RNA-DNA hybrid, preserving the intact tissue section for high-plex protein imaging with CODEX. We developed computational pipelines to register data from two distinct modalities. Performing both DBiT-seq and CODEX on the same tissue slide enables accurate cell typing in each spatial transcriptome spot and subsequently image-guided decomposition to generate single-cell resolved spatial transcriptome atlases. DBiTplus was applied to mouse embryos with limited protein markers but still demonstrated excellent integration for single-cell transcriptome decomposition, to normal human lymph nodes with high-plex protein profiling to yield a single-cell spatial transcriptome map, and to human lymphoma FFPE tissue to explore the mechanisms of lymphomagenesis and progression. DBiTplusCODEX is a unified workflow including integrative experimental procedure and computational innovation for spatially resolved single-cell atlasing and exploration of biological pathways cell-by-cell at genome-scale.

Journal Article↗

PubMed2024

Integration of Imaging-based and Sequencing-based Spatial Omics Mapping on the Same Tissue Section via DBiTplus.

Journal Article↗

PubMed2026

BRIDGE: an interactive application for multi-omics data analysis, visualization and integration.

SUMMARY: BRIDGE is a Shiny-based application that provides an accessible, modular platform for individual and integrative multi-omics analysis. Using an independent SQLite database backend, it offers a local, private, and user-friendly environment that requires no prior computational expertise. The application supports proteomics, phospho-proteomics, and RNA-seq analyses through a comprehensive suite of visualization and analytical modules, together with an integrated multi-omics analysis pipeline. Built-in caching and asynchronous processing improve responsiveness, enabling efficient exploration, analysis, and visualization of multi-omics datasets on moderate hardware. AVAILABILITY AND IMPLEMENTATION: BRIDGE is implemented in R using Shiny and is freely available as a Docker container at https://ghcr.io/paulilab/bridge. A public demonstration server with example datasets is available at https://bridge.imp.ac.at. Code and datasets are also available at https://github.com/paulilab/BRIDGE and under DOI: https://doi.org/10.5281/zenodo.20215824.

Multiomics↗