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Results for “Functional proteome”

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At least 649 records · Page 36Linked to original sources
PubMed2005

Preparation of a set of expression-ready clones of mammalian long cDNAs encoding large proteins by the ORF trap cloning method.

Although we have so far identified and sequenced >2000 human long cDNAs, known as KIAA cDNAs, half of them have yet to be functionally annotated. Expression-ready cDNA clones derived from these genes, where the open reading frame (ORF) of the gene of interest is placed under the control of an appropriate promoter, are critical for functional characterization of these gene products. In this study, we attempted to systematically convert original cDNA clones to expression-ready forms for native and fusion proteins. For this purpose, we developed a new method for ORF cloning based on a homologous recombination in Escherichia coli to avoid laborious manipulations and artificial introduction of mutations in ORF. Using 1589 putative full-length ORFs (from 1002 KIAA genes, 119 human known genes and 468 mouse genes) with an average size of 2.8 kb, we successfully prepared expression plasmids for 1463 native proteins and for 1343 fusion proteins by this method. The resultant expression-ready clones were examined using an in vitro transcription/translation system followed by SDS-polyacrylamide gel electrophoresis and by transient expression of GFP-fusion proteins in human embryonic kidney (HEK) 293 cells. This set of expression-ready clones of long cDNAs encoding large proteins would open a new route to experimentally analyze their functions on a proteomic scale, since unavailability of expression-ready clones for mammalian large proteins has been a major obstacle to the functional analysis of these cDNAs.

Animals↗
PubMed2004

Proteomics.

The growing discipline of proteomics is highly relevant in our quest to understand cause/effect relationships between environmental, Physiological, and pathological influences on bodily organ function. We present an overview of the principles and methods in profiling, functional, and structural proteomics and their applications to oncology and others related areas.

Drug Industry↗
PubMed2025

Exploring the associations between preen oil bacterial, chemical and proteomic profiles of passerines.

Preen gland bacteria are thought to be the key producers of preen oil components such as chemosignalling molecules including volatile organic compounds (VOCs) and antimicrobial compounds including peptides and antimicrobial VOCs. However, data on the preen oil bacteriome and chemical composition are limited to a small subset of bird species, and the presence of antimicrobial peptides is largely unexplored. Here, we performed an exploratory study to characterize, for the first time, the preen oil chemical and proteomic profiles and to explore the possible contribution of the bacteriome to the production of preen oil VOCs and antimicrobial peptides (bacteriocins) in eight passerine species, each represented by a single individual. Preen oil bacteriome, chemical and proteomic profiles varied among birds. The bacterial profiles were dominated by the genera Streptococcus, Lactococcus, Corynebacterium and Cutibacterium. The chemical profiles mainly consisted of alcohols, ketones and carboxylic acids. The biological functions primarily associated with the proteomic profiles were proteolysis and response to oxidative stress. Although we were unable to explore a direct association between the bacteriome and chemical profiles, the preen oil contained bacteriocin- and VOC-producing bacterial genera capable of producing detected microbially-derived VOCs (mVOCs), the relative abundance of which varied between birds. Riparian species showed the highest chemical diversity and high abundances of putative preen oil mVOC-producing bacteria, which could suggest habitat-specific adaptations. This exploratory study may significantly contribute to the formulation of hypotheses on the potential role of host ecological factors in the variation of preen oil bacterial, chemical and proteomic profiles in passerines.

Animals↗
PubMed2005

Proteomic analysis of brain plasma membranes isolated by affinity two-phase partitioning.

A comprehensive analysis of plasma membrane proteins is essential to in-depth understanding of brain development, function, and diseases. Proteomics offers the potential to perform such a comprehensive analysis, yet it requires efficient protocols for the purification of the plasma membrane compartment. Here, we present a novel and efficient protocol for the separation and enrichment of brain plasma membrane proteins. It lasts only 4 h and is easy to perform. It highly enriches plasma membrane proteins and can be applied to small amounts of brain tissue, such as the cerebellum of a single rat, which was used in the present study. The protocol is based on affinity partitioning of microsomes in an aqueous two-phase system. Marker enzyme assays demonstrated a more than 12-fold enrichment of plasma membranes and a strong reduction of other compartments, such as mitochondria and the endoplasmic reticulum. 506 different proteins were identified when the enriched proteins underwent LC-MS/MS analysis subsequent to protein separation by SDS-PAGE. Using gene ontology, 146 proteins were assigned to a subcellular compartment. Ninety-three of those (64%) were membrane proteins, and 49 (34%) were plasma membrane proteins. A combined literature and database search for all 506 identified proteins revealed subcellular information on 472 proteins, of which 197 (42%) were plasma membrane proteins. These comprised numerous transporters, channels, and neurotransmitter receptors, e.g. the inward rectifying potassium channel Kir7.1 and the cerebellum-specific gamma-aminobutyric acid receptor GABRA6. Surface proteins involved in cell-cell contact and disease-related proteins were also identified. Six of the 146 assigned proteins were derived from mitochondrial membranes and 5 from membranes of the endoplasmic reticulum. Taken together, our protocol represents a simple, rapid, and reproducible tool for the proteomic characterization of brain plasma membranes. Because it conserves membrane structure and protein interactions, it is also suitable to enrich multimeric protein complexes from the plasma membrane for subsequent analysis.

Alkaline Phosphatase↗
PubMed2006

GOFFA: gene ontology for functional analysis--a FDA gene ontology tool for analysis of genomic and proteomic data.

BACKGROUND: Gene Ontology (GO) characterizes and categorizes the functions of genes and their products according to biological processes, molecular functions and cellular components, facilitating interpretation of data from high-throughput genomics and proteomics technologies. The most effective use of GO information is achieved when its rich and hierarchical complexity is retained and the information is distilled to the biological functions that are most germane to the phenomenon being investigated. RESULTS: Here we present a FDA GO tool named Gene Ontology for Functional Analysis (GOFFA). GOFFA first ranks GO terms in the order of prevalence for a list of selected genes or proteins, and then it allows the user to interactively select GO terms according to their significance and specific biological complexity within the hierarchical structure. GOFFA provides five interactive functions (Tree view, Terms View, Genes View, GO Path and GO TreePrune) to analyze the GO data. Among the five functions, GO Path and GO TreePrune are unique. The GO Path simultaneously displays the ranks that order GOFFA Tree Paths based on statistical analysis. The GO TreePrune provides a visual display of a reduced GO term set based on a user's statistical cut-offs. Therefore, the GOFFA visual display can provide an intuitive depiction of the most likely relevant biological functions. CONCLUSION: With GOFFA, the user can dynamically interact with the GO data to interpret gene expression results in the context of biological plausibility, which can lead to new discoveries or identify new hypotheses. AVAILABILITY: GOFFA is available through ArrayTrack softwarehttp://edkb.fda.gov/webstart/arraytrack/.

Genomics↗
PubMed2003

Integrating 'omic' information: a bridge between genomics and systems biology.

The availability of genome sequences for several organisms, including humans, and the resulting first-approximation lists of genes, have allowed a transition from molecular biology to 'modular biology'. In modular biology, biological processes of interest, or modules, are studied as complex systems of functionally interacting macromolecules. Functional genomic and proteomic ('omic') approaches can be helpful to accelerate the identification of the genes and gene products involved in particular modules, and to describe the functional relationships between them. However, the data emerging from individual omic approaches should be viewed with caution because of the occurrence of false-negative and false-positive results and because single annotations are not sufficient for an understanding of gene function. To increase the reliability of gene function annotation, multiple independent datasets need to be integrated. Here, we review the recent development of strategies for such integration and we argue that these will be important for a systems approach to modular biology.

Computational Biology↗
PubMed2005

Peptide motifs: building the clathrin machinery.

Clathrin-coated vesicles (CCVs) form at the plasma membrane, where they select cargo for endocytic entry into cells, and at the trans-Golgi network (TGN) and the endosomal system, where they generate carrier vesicles that transport proteins between these compartments. We have used subcellular fractionation and tandem mass spectrometry to identify proteins associated with brain CCVs. The resulting proteome contained a near complete inventory of the major functional proteins of synaptic vesicles (SVs), suggesting that clathrin-mediated endocytosis provides a major mechanism to recycle SV membrane proteins following neurotransmitter release. Additionally, we identified several new components of the machineries for clathrin-mediated membrane budding, including enthoprotin/epsinR and NECAP 1/2. These proteins bind with high specificity to the ear domains of the clathrin adaptor proteins (APs)-1 and -2, and, intriguingly, they each utilize novel peptide motifs based around the core sequence ØXXØ. Detailed mutational analysis of these motifs, coupled with structural studies of the ear domains, has revealed the basis of their specificity for clathrin adaptors. Moreover, the motifs have now been recognized in multiple proteins functioning in clathrin-mediated membrane trafficking, revealing new mechanisms in the formation and function of CCVs. Thus, proteomics analysis of isolated organelles can provide insights ranging from peptide motifs to global organelle function.

Animals↗
PubMed2002

Dermatological applications of DNA array technology.

The Human Genome Project and other large scale sequencing consortia continue to generate huge amounts of DNA sequence data. Despite the identification of specific disease-related genes and genetic markers, we still appear to know little about how diverse gene products actually interact with each other or respond to other chemical or biological stimuli. Such information is of course fundamental to understanding complex disease pathways and biochemical processes and, as such, has spawned new fields of investigative genetics, that of functional genomics and proteomics. DNA array technology is emerging as a powerful, high-throughput and versatile tool that can be applied to the study of functional genomics. This article reviews the methodology involved in array analysis and provides insight into how, as an investigative tool, DNA arrays are becoming increasingly useful in understanding fundamental abnormalities in dermatological disease and also in refining the management of patients with certain skin disorders.

Gene Expression Profiling↗
PubMed2003

Expression of scFv antibodies in Xenopus embryos to disrupt protein function: implications for large-scale evaluation of the embryonic proteome.

SUMMARY: We evaluated the use of single-chain antibody (scFv) expression as a tool to disrupt the function of specific proteins in embryos of the frog, Xenopus laevis. The expression of scFvs that recognize the bone morphogenetic protein receptor (ALK3) or the fibroblast growth factor receptor1 (FGFR1) as endoplasmic reticulum-anchored proteins caused distinct developmental defects that were virtually indistinguishable from the defects caused by expression of the dominant negative forms of each receptor. These results demonstrate that scFvs from phage-display libraries can be readily fashioned into effective and specific inhibitors of signaling pathways in developing embryos. In addition, as several effective scFvs against a specific target can be isolated rapidly, this approach represents a valuable new tool for large-scale functional analysis of the embryonic proteome.

Activin Receptors, Type I↗
PubMed2002

Combining proteomic and genetic studies in plants.

Plant proteomics is still in its infancy, although numerous experiments have been undertaken since the end of the 1970s. In this review we focus on the interactions between proteomics and genetics. A given genome can express various proteomes according to differentiation, development, tissues, cells and subcellular compartments, and proteomes are modified in function of biotic and abiotic environment. These different proteomes and the way they respond to environment can be compared between genotypes, allowing the characterization of mutants or lines, the study of mutation pleiotropic effects, the genetic mapping of expressed genes. These comparisons also permit to hypothesize for "candidate proteins" that might be involved in the genetic variation of traits of economic or agronomic interest.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2026

Imaging-Guided Omics Technologies for Resolving Rare Cancer States and Advancing Nanomedicine.

The ability to resolve rare and transient cellular states is critical for understanding metastasis, immune evasion, and therapy resistance in cancer, yet these dynamic processes often escape detection by conventional sequencing and imaging approaches. Recent advances at the interface of nanotechnology, high-resolution live-cell imaging, and single-cell/spatial multiomics methods have enabled functional profiling of cells with unprecedented precision within their native microenvironment. In this Mini-Review, we highlight emerging nanoscale platforms that couple real-time phenotypic imaging with molecular readouts, such as FUNseq and CIN-seq, to directly link functional heterogeneity to transcriptomic, proteomic, and epigenomic information. By integrating nanoscale optical imaging, microengineered perturbation tools, and AI-driven computational analysis, these technologies open up new avenues for dissecting rare metastatic, therapy-resistant, or immune-evasive subpopulations. We further discuss how these next-generation imaging-guided single-cell and spatial omics platforms not only advance fundamental cancer biology but also create opportunities to accelerate the development of nanomedicine applications.

Humans↗
PubMed2005

Defining the proteome.

A report on the Fourth Annual HUPO World Congress (HUPO2005) 'From Defining the Proteome to Understanding Function', Munich, Germany, 28 August-1 September 2005.

Biomedical Research↗
PubMed2006

Differential proteomic alterations between localised and metastatic prostate cancer.

Molecular alterations in the prostate cancer proteome mediate the functional and phenotypic transformation from clinically localised to metastatic cancer, a transition that drives patient's mortality and challenges therapeutic intervention. A first approximation of differential proteomic alterations stratified by disease stage has yielded repertoires of potential diagnostic and prognostic markers, multiplex signatures of predictive value, and yield fundamental insight into molecular commonalities in cancer progression. Deciphering these causative proteomic alterations from the molecular noise will continue to mature our understanding of tumour biology and drive new computational and integrative approaches to model a system's view that accommodates the heterogeneity of prostate cancer progression.

Biomarkers, Tumor↗
PubMed2005

Protein domains and architectural innovation in plant-associated Proteobacteria.

BACKGROUND: Evolution of new complex biological behaviour tends to arise by novel combinations of existing building blocks. The functional and evolutionary building blocks of the proteome are protein domains, the function of a protein being dependent on its constituent domains. We clustered completely-sequenced proteomes of prokaryotes on the basis of their protein domain content, as defined by Pfam (release 16.0). This revealed that, although there was a correlation between phylogeny and domain content, other factors also have an influence. This observation motivated an investigation of the relationship between an organism's lifestyle and the complement of domains and domain architectures found within its proteome. RESULTS: We took a census of all protein domains and domain combinations (architectures) encoded in the completely-sequenced proteobacterial genomes. Nine protein domain families were identified that are found in phylogenetically disparate plant-associated bacteria but are absent from non-plant-associated bacteria. Most of these are known to play a role in the plant-associated lifestyle, but they also included domain of unknown function DUF1427, which is found in plant symbionts and pathogens of the alpha-, beta- and gamma-Proteobacteria, but not known in any other organism. Further, several domains were identified as being restricted to phytobacteria and Eukaryotes. One example is the RolB/RolC glucosidase family, which is found only in Agrobacterium species and in plants. We identified the 0.5% of Pfam protein domain families that were most significantly over-represented in the plant-associated Proteobacteria with respect to the background frequencies in the whole set of available proteobacterial proteomes. These included guanylate cyclase, domains implicated in aromatic catabolism, cellulase and several domains of unknown function. We identified 459 unique domain architectures found in phylogenetically diverse plant pathogens and symbionts that were absent from non-pathogenic and non-symbiotic relatives. The vast majority of these were restricted to a single species or several closely related species and so their distributions could be better explained by phylogeny than by lifestyle. However, several architectures were found in two or more very distantly related phytobacteria but absent from non-plant-associated bacteria. Many of the proteins with these unique architectures are predicted to be secreted. In Pseudomonas syringae pathovar tomato, those genes encoding genes with novel domain architectures tended to have atypical GC contents and were adjacent to insertion sequence elements and phage-like sequences, suggesting acquisition by horizontal transfer. CONCLUSIONS: By identifying domains and architectures unique to plant pathogens and symbionts, we highlighted candidate proteins for involvement in plant-associated bacterial lifestyles. Given that characterisation of novel gene products in vivo and in vitro is time-consuming and expensive, this computational approach may be useful for reducing experimental search space. Furthermore we discuss the biological significance of novel proteins highlighted by this study in the context of plant-associated lifestyles.

Cluster Analysis↗
PubMedDate not supplied

Rapid production of functionalized recombinant proteins: marrying ligation independent cloning and in vitro protein ligation.

Functional genomics and proteomics have been very active fields since the sequencing of several genomes was completed. To assign a physiological role to the newly discovered coding genes with unknown function, new generic methods for protein production, purification, and targeted functionalization are needed. This work presents a new vector, pCYSLIC, that allows rapid generation of Escherichia coli expression constructs via ligation-independent cloning (LIC). The vector is designed to facilitate protein purification by either Ni-NTA or GSH affinity chromatography. Subsequent proteolytic removal of affinity tags liberates an N-terminal cysteine residue that is then used for covalent modification of the target protein with different biophysical probes via protein ligation. The described system has been tested on 36 mammalian Rab GTPases, and it was demonstrated that recombinant GTPases produced with pCYSLIC could be efficiently modified with fluorescein or biotin in vitro. Finally, LIC was compared with the recently developed In-Fusion cloning method, and it was demonstrated that In-Fusion provides superior flexibility in choice of expression vector. By the application of In-Fusion cloning Cys-Rab6A GTPase with an N-terminal cysteine residue was generated employing unmodified pET30a vector and TVMV protease.

Animals↗
PubMed2003

The use of genomics and proteomics to understand oocyte and early embryo functions in farm animals.

Oocyte maturation, a simple and visible phenomenon, is about to be transformed into a complex and not so visible molecular cascade leading to the marking of the following generation. The study of oocyte maturation in mammals is progressively changing towards a more molecular approach. This review addresses the main challenges in the study of RNA extraction and quantification in oocytes and embryos as well as the importance of the mRNA maturation. The identification of specific genes in oocytes and embryos is now possible with the use of powerful tools, such as library analysis or subtractions, DNA array, comparative analysis of databanks from other mammals or animals and two-dimensional gel electrophoresis analysis. Finally, RNA interference is a useful tool for studying gene function by knocking out the activity of specific genes and will be used in oocytes and embryos.

Animals↗
PubMedDate not supplied

Recent progress in biomolecular engineering.

During the next decade or so, there will be significant and impressive advances in biomolecular engineering, especially in our understanding of the biological roles of various biomolecules inside the cell. The advances in high throughput screening technology for discovery of target molecules and the accumulation of functional genomics and proteomics data at accelerating rates will enable us to design and discover novel biomolecules and proteins on a rational basis in diverse areas of pharmaceutical, agricultural, industrial, and environmental applications. As an applied molecular evolution technology, DNA shuffling will play a key role in biomolecular engineering. In contrast to the point mutation techniques, DNA shuffling exchanges large functional domains of sequences to search for the best candidate molecule, thus mimicking and accelerating the process of sexual recombination in the evolution of life. The phage-display system of combinatorial peptide libraries will be extensively exploited to design and create many novel proteins, as a result of the relative ease of screening and identifying desirable proteins. Even though this system has so far been employed mainly in screening the combinatorial antibody libraries, its application will be extended further into the science of protein-receptor or protein-ligand interactions. The bioinformatics for genome and proteome analyses will contribute substantially toward ever more accelerated advances in the pharmaceutical industry. Biomolecular engineering will no doubt become one of the most important scientific disciplines, because it will enable systematic and comprehensive analyses of gene expression patterns in both normal and diseased cells, as well as the discovery of many new high-value molecules. When the functional genomics database, EST and SAGE techniques, microarray technique, and proteome analysis by 2-dimensional gel electrophoresis or capillary electrophoresis in combination with mass spectrometer are all put to good use, biomolecular engineering research will yield new drug discoveries, improved therapies, and significantly improved or new bioprocess technology. With the advances in biomolecular engineering, the rate of finding new high-value peptides or proteins, including antibodies, vaccines, enzymes, and therapeutic peptides, will continue to accelerate. The targets for the rational design of biomolecules will be broad, diverse, and complex, but many application goals can be achieved through the expansion of knowledge based on biomolecules and their roles and functions in cells and tissues. Some engineered biomolecules, including humanized Mab's, have already entered the clinical trials for therapeutic uses. Early results of the trials and their efficacy are positive and encouraging. Among them, Herceptin, a humanized Mab for breast cancer treatment, became the first drug designed by a biomolecular engineering approach and was approved by the FDA. Soon, new therapeutic drugs and high-value biomolecules will be designed and produced by biomolecular engineering for the treatment or prevention of not-so-easily cured diseases such as cancers, genetic diseases, age-related diseases, and other metabolic diseases. Many more industrial enzymes, which will be engineered to confer desirable properties for the process improvement and manufacturing of high-value biomolecular products at a lower production cost, are also anticipated. New metabolites, including novel antibiotics that are active against resistant strains, will also be produced soon by recombinant organisms having de novo engineered biosynthetic pathway enzyme systems. The biomolecular engineering era is here, and many of benefits will be derived from this field of scientific research for years to come if we are willing to put it to good use.

Animals↗