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Results for “proteomic profiling”

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At least 1,261 records · Page 70Linked to original sources
PubMed2005

Transcriptomic and proteomic responses of human renal HEK293 cells to uranium toxicity.

The industrial use of uranium, in particular depleted uranium, has pin-pointed the need to review its chemical impact on human health. Global methodologies, applied to the field of toxicology, have demonstrated their applicability to investigation of fine molecular mechanisms. This report illustrate the power of toxicogenomics to evaluate the involvement of certain genes or proteins in response to uranium. We particularly show that 25% of modulated genes concern signal transduction and trafficking, that the calcium pathway is heavily disturbed and that nephroblastomas-related genes are involved (WIT-1, STMN1, and STMN2). A set of 18 genes was deregulated whatever the concentration of toxicant, which could constitute a signature of uranium exposure. Moreover, a group of downregulated genes, with corresponding disappearing proteins (HSP90, 14-3-3 protein, HMGB1) in two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), are good candidates for use as biomarkers of uranium effects. These results reveal a cross-checking between transcriptomic and proteomic technologies. Moreover, our temporal gene expression profiles suggest the existence of a concentration threshold between adaptive response and severe cell deregulation. Our results confirm the involvement of genes already described and also provide new highlights on cellular response to uranium.

Apoptosis↗
PubMed2003

Proteomics in the postgenomic age.

Technical developments in the field of proteomics are poised to generate advances in our understanding of protein structure, function, and organization in complex signaling and regulatory networks. Improvements in mass spectrometry instrumentation, the implementation of protein arrays, and the development of robust informatics software are providing sensitive, high-throughput technologies for large-scale identification and quantitation of protein expression, protein modifications, subcellular localization, protein function, and protein-protein interactions. These advances have significant implications for understanding how cellular proteomes are regulated in health and disease.

Animals↗
PubMed2006

Identification of proteins whose expression is up- or down-regulated in the mushroom bodies in the honeybee brain using proteomics.

To identify protein(s) with different expression patterns in the mushroom bodies (MBs) in the honeybee brain, we compared the protein profiles of MBs and optic lobes (OLs) using proteomics. Two-dimensional gel electrophoresis revealed that five and three spots were selectively expressed in the MBs or OLs, respectively. Liquid chromatography tandem mass spectrometry analysis identified juvenile hormone diol kinase and glyceraldehyde-3-phosphate dehydrogenase as MB- and OL-selective proteins, respectively. In situ hybridization revealed that jhdk expression was upregulated in MB neuron subsets, whereas gapdh expression was downregulated, indicating that MBs have a distinct gene and protein expression profile in the honeybee brain.

Animals↗
PubMed2004

Genomic and proteomic technologies for individualisation and improvement of cancer treatment.

The development of microarray-based technologies for characterising tumours, both at the genomic and proteomic levels, has had a significant impact on the field of oncology. Gene expression profiling of various human tumour tissues has led to the identification of expression patterns related to disease outcome and drug resistance, as well as to the discovery of new therapeutic targets and insights into disease pathogenesis. Protein microarray technologies, such as reverse-phase protein arrays, provide the unique opportunity to profile tissues and assess the activity of signalling pathways within isolated cell populations. This technology can be used to identify patients likely to benefit from specific treatment modalities and also to monitor therapeutic response in samples obtained during and after treatment. Routine application of genomic and proteomic microarray technologies in clinical practice will require significant efforts to standardise the techniques, controls and reference standards, and analytical tools used. Extensive, independent validation using large, statistically-powered datasets will also be necessary. Inclusion of concomitant genomic and proteomic-based molecular profiling techniques into clinical trial protocols will bring us closer to the reality of patient-tailored therapy.

Gene Expression Profiling↗
PubMed2006

Proteomic analysis of tomato fruits from two ecotypes during ripening.

Ripening of climacteric fruits is a complex physiological phenomenon, which makes berries attractive/palatable and also determines their nutritional characteristics. We report here a comparative proteomic investigation on tomato fruits from a regional and commercial elite ecotype during maturation. Several hundreds of protein components were resolved on 2-DE gels (pH range 4-7) stained with colloidal Coomassie; almost 57% presented overlapping gel coordinates between the two compared varieties. Specific proteins were recognized in each ecotype as differentially expressed during ripening. Constant and variable components were excised, in-gel digested and analysed by MALDI-TOF-MS and microLC-ESI-IT-MS/MS approaches. Peptide MS and MS/MS data were searched against publicly available protein and EST databases, and 83 protein spots were unambiguously identified by MS. Gel matching procedures allowed further identification of proteins between ecotypes. In general, common variably expressed proteins in both ecotypes during maturation were associated to important physiological processes such as redox status control, defence, stress, carbon metabolism, energy production and cellular signalling. Protein components differentially expressed in each variety were also identified. The role of some of the identified proteins in the berries is discussed in relation to tomato fruit ripening. Accordingly, this investigation provides the first characterization of the tomato fruit proteome and description of its variation during maturation.

Gene Expression Profiling↗
PubMed2005

Antigen microarray profiling of autoantibodies in rheumatoid arthritis.

OBJECTIVE: Because rheumatoid arthritis (RA) is a heterogeneous autoimmune disease in terms of disease manifestations, clinical outcomes, and therapeutic responses, we developed and applied a novel antigen microarray technology to identify distinct serum antibody profiles in patients with RA. METHODS: Synovial proteome microarrays, containing 225 peptides and proteins that represent candidate and control antigens, were developed. These arrays were used to profile autoantibodies in randomly selected sera from 2 different cohorts of patients: the Stanford Arthritis Center inception cohort, comprising 18 patients with established RA and 38 controls, and the Arthritis, Rheumatism, and Aging Medical Information System cohort, comprising 58 patients with a clinical diagnosis of RA of <6 months duration. Data were analyzed using the significance analysis of microarrays algorithm, the prediction analysis of microarrays algorithm, and Cluster software. RESULTS: Antigen microarrays demonstrated that autoreactive B cell responses targeting citrullinated epitopes were present in a subset of patients with early RA with features predictive of the development of severe RA. In contrast, autoimmune targeting of the native epitopes contained on synovial arrays, including several human cartilage gp39 peptides and type II collagen, were associated with features predictive of less severe RA. CONCLUSION: Proteomic analysis of autoantibody reactivities provides diagnostic information and allows stratification of patients with early RA into clinically relevant disease subsets.

Algorithms↗
PubMed2006

Cytokeratin-20 and seminal vesicle secretory protein VI as possible marker proteins in urinary bladder preneoplastic lesions induced by N-butyl-N-(4-hydroxybutyl) nitrosamine.

BACKGROUND: A simple and non-invasive methods for the diagnosis of transitional cell carcinoma of the bladder are needed for the prevention of invasive tumor. A proteomic technology has recently been developed to facilitate protein profiling of biological mixtures. We tried to detect the marker proteins by proteomic approach during the initiation stages on N-butyl-N-(4-hydroxybutyl) nitrosamine (BBN)-induced bladder carcinogenesis in rats. METHODS: Ten rats in group A were given 0.05% BBN in drinking water for 12 weeks. Other 10 rats in group B with 10 rats were designated as a control group and were not given BBN. Whole urinary bladders of all rats were excised at 12 weeks from the beginning of the experiment. Conventional proteomics was performed with high resolution 2-dimension gel electrophoresis followed by computational image analysis and protein identification using mass spectrometry. RESULTS: A comparison of urinary bladder hyperplasia tissue with control tissue showed that five proteins; actin gamma2 propeptide, cytokeratin-20 (CK-20), proapolipoprotein, alpha2 actin (alpha-cardiac actin) and heat shock 27 kDa protein-1 were over-expressed in hyperplastic tissues. Three proteins; transcription factor myocardin, seminal vesicle secretory protein VI (SVS-VI) precursor and hypothetical protein RMT-7 were under-expressed in hyperplastic tissues. CONCLUSION: In our animal mode, BBN-induced urinary bladder mucosal hyperplasia resulted in an increase in the expression of five proteins and a decrease in the expression of three proteins. Of these, CK-20 and SVS-VI seem to be of particular interest. However other method such as Western blotting seems to be needed for confirmation of these proteins and more information on human bladder tissue is needed for clinical application.

Animals↗
PubMed2005

Proteins associated with Cisplatin resistance in ovarian cancer cells identified by quantitative proteomic technology and integrated with mRNA expression levels.

Nearly all women diagnosed with ovarian cancer receive combination chemotherapy including cis- or carboplatin. Despite high initial response rates, resistance to cisplatin develops in roughly one-third of women during primary treatment and in all women treated for recurrent disease. ICAT coupled with tandem MS is a quantitative proteomic technique for high throughput protein expression profiling of complex protein mixtures. Using ICAT/MS/MS we profiled the nuclear, cytosolic, and microsomal fractions obtained from IGROV-1 [corrected] (cisplatin-sensitive) and IGROV-1/CP [corrected] (cisplatin-resistant) ovarian cancer cell lines. The proteomes of cisplatin-sensitive and -resistant ovarian cancer cells were compared, and protein expression was correlated with mRNA expression profiles. A total of 1117 proteins were identified and quantified. The relative expression of 121 of these varied between the two cell lines. Sixty-three proteins were overexpressed in cisplatin-sensitive, and 58 were over expressed in cisplatin-resistant cells. Examples of proteins at least 5-fold overexpressed in resistant cells and with biological relevance to cancer include cell recognition molecule CASPR3 (13.3-fold), S100 protein family members (8.7-fold), junction adhesion molecule Claudin 4 (7.2-fold), and CDC42-binding protein kinase beta (5.4-fold). Examples of cancer-related proteins at least 5-fold overexpressed in sensitive cells include hepatocyte growth factor inhibitor 1B (13.3-fold) and programmed cell death 6-interacting protein (12.7-fold). The direction of changes in expression levels between proteins and mRNAs were not always in the same direction, possibly reflecting posttranscriptional control of protein expression. We identified proteins whose expression profiles correlate with cisplatin resistance in ovarian cancer cells. Several proteins may be involved in modulating response to cisplatin and have potential as markers of treatment response or treatment targets.

Cell Line, Tumor↗
PubMed2005

High throughput quantitative glycomics and glycoform-focused proteomics of murine dermis and epidermis.

Despite recent advances in our understanding of the significance of the protein glycosylation, the throughput of protein glycosylation analysis is still too low to be applied to the exhaustive glycoproteomic analysis. Aiming to elucidate the N-glycosylation of murine epidermis and dermis glycoproteins, here we used a novel approach for focused proteomics. A gross N-glycan profiling (glycomics) of epidermis and dermis was first elucidated both qualitatively and quantitatively upon N-glycan derivatization with novel, stable isotope-coded derivatization reagents followed by MALDI-TOF(/TOF) analysis. This analysis revealed distinct features of the N-glycosylation profile of epidermis and dermis for the first time. A high abundance of high mannose type oligosaccharides was found to be characteristic of murine epidermis glycoproteins. Based on this observation, we performed high mannose type glycoform-focused proteomics by direct tryptic digestion of protein mixtures and affinity enrichment. We identified 15 glycoproteins with 19 N-glycosylation sites that carry high mannose type glycans by off-line LC-MALDI-TOF/TOF mass spectrometry. Moreover the relative quantity of microheterogeneity of different glycoforms present at each N-glycan binding site was determined. Glycoproteins identified were often contained in lysosomes (e.g. cathepsin L and gamma-glutamyl hydrolase), lamellar granules (e.g. glucosylceramidase and cathepsin D), and desmosomes (e.g. desmocollin 1, desmocollin 3, and desmoglein). Lamellar granules are organelles found in the terminally differentiating cells of keratinizing epithelia, and desmosomes are intercellular junctions in vertebrate epithelial cells, thus indicating that N-glycosylation of tissue-specific glycoproteins may contribute to increase the relative proportion of high mannose glycans. The striking roles of lysosomal enzymes in epidermis during lipid remodeling and desquamation may also reflect the observed high abundance of high mannose glycans.

Amino Acid Sequence↗
PubMed2004

Profile identification of disease-associated humoral antigens using AMIDA, a novel proteomics-based technology.

We describe AMIDA (autoantibody-mediated identification of antigens), a novel target identification technology based on the immunoprecipitation of disease-specific antigens by autologous serum antibodies followed by two-dimensional electrophoretic separation, and their identification via mass spectrometry. Twenty-seven potential carcinoma antigens were identified including proteins of hitherto unknown function. Validation of one of the identified antigens, cytokeratin 8, revealed its de novo expression in hyperplastic tissue, gradual overexpression with increasing malignancy, and ectopic localization on the cell surface. Furthermore, a strong prevalence of CK8-specific antibodies occurred in the serum of cancer patients already at early disease stages. In situ hybridization for one marker of unknown function, KIAA1273/TOB3, demonstrated its strong overexpression in head and neck carcinomas, thus making it a likely tumor antigen candidate. Eventually, AMIDA could foster significant improvements for the diagnosis and therapy of human diseases eliciting a humoral immune response, and allows for the rapid identification of new target molecules.

Allergy and Immunology↗
PubMed2005

Proteomic analysis of childhood leukemia.

Childhood acute lymphoblastic and myeloid leukemias are stratified into molecular and cytogenetic subgroups important for prognosis and therapy. Studies have shown that gene expression profiles can discriminate between leukemia subtypes. Thus, proteome analysis similarly holds the potential for characterizing different subtypes of childhood leukemia. We used surface-enhanced laser desorption/ionization time-of-flight mass spectrometry to analyze cell lysates from childhood leukemia cell lines as well as pretreatment leukemic bone marrow derived from childhood leukemia cases. Comparison of the acute myeloid leukemia (AML) cell line, Kasumi, and the biphenotypic myelomonocytic cell line, MV4;11, with the acute lymphoblastic leukemia (ALL) cell lines, 697 and REH, revealed many differentially expressed proteins. In particular, one 8.3 kDa protein has been identified as a C-terminal truncated ubiquitin. Analysis of childhood leukemia bone marrow showed differentially expressed proteins between AML and ALL, including a similar peak at 8.3 kDa, as well as several proteins that differentiate between the ALL t(12;21) and hyperdiploid subtypes. These results demonstrate the potential for proteome analysis to distinguish between various forms of childhood leukemia. Future analyses are warranted to validate these findings and to investigate the role of the C-terminal truncated ubiquitin in the etiology of ALL.

Acute Disease↗
PubMed2003

ProteomeWeb: a web-based interface for the display and interrogation of proteomes.

The analysis of proteomes, i.e., the proteins expressed by biological organisms under a given set of conditions at a given time, requires separating complex protein mixtures into discrete protein components, measuring their relative abundances, and identifying the individual protein components. Many types of data are generated during the course of proteome analysis, including graphic images of the protein profiles, flat files containing numeric data, spreadsheets for assimilating numeric data, and relational database tables for integrating data from multiple experiments. As part of a project to describe the proteomes of microbes of interest to the U.S. Department of Energy, a World-Wide Web-based interface has been developed for the display of protein profiles generated by two-dimensional gel electrophoresis. The web interface is capable of obtaining protein identifications on the fly, interrogating the quantitative data in the context of available genome sequence information, and relating the proteome data to existing metabolic pathway databases. Analysis of protein expression profiles is expedited, providing the capability to efficiently determine the gene locations for proteins modulated in abundance in response to different growth conditions and to locate the positions of the proteins within specific metabolic pathways. The proteome of the archaeon Methanococcus jannaschii, a microbe for which the complete genome sequence is available, is used to demonstrate the capabilities of this evolving web interface (http://proteomeweb.anl.gov).

Amino Acid Sequence↗
PubMed2026

Hidden proteins encoded by non-canonical open reading frames: A review.

There is increasing evidence that translation is not limited to annotated protein-coding genes. Ribosome profiling sequencing, mass spectrometry-based proteomics, and immunopeptidomics have identified the productive translation of non-canonical open reading frames (ORFs). This suggests that the functional proteome includes not only conserved proteins but also proteins hidden in non-coding RNAs and de novo proteins. Some of these translated products are functional peptides, while others may be non-functional, potentially arising from evolutionary events. Several non-canonical ORF-encoded peptides have been found to regulate multiple physiological and pathological functions, particularly in cancer, immunity, and inflammation, indicating that they have potential as biomarkers and novel therapeutic targets. To better understand the diversity of functional peptides and translated non-canonical ORFs based on existing data, we summarize their classification according to transcriptional features and supporting evidence, including non-canonical ORFs located in ncRNAs and canonical mRNAs. This review provides a concise summary of the origin, discovery methods, and classification of non-canonical ORFs. It offers insights into the origins and functions of non-canonical ORF-encoded peptides from an evolutionary perspective, while also exploring the biological functions and regulatory mechanisms of these non-canonical ORF-encoded hidden proteins in tumorigenesis and progression.

Open Reading Frames↗
PubMed2004

Mass spectrometrical analysis of phosphoprotein enriched in astrocytes of 15 kDa in mouse hippocampi.

Phosphoprotein enriched in astrocytes of 15 kDa (PEA-15) is a small protein that was first identified as an abundant phosphoprotein in brain. PEA-15 was characterised so far at the immunochemical level and by a microsequencing attempt. In order to update characterisation of this important structure by advanced methodology unambiguously identifying proteins independent of antibody availability and specificity, we used a proteomic method for this purpose: Performing protein profiling in mouse hippocampi using two dimensional gel electrophoresis with subsequent mass spectrometrical (MS/MS) identification we detected this protein and demonstrate proteomic characterisation of PEA-15 (Q62048). This study enables further specific and unambiguous determination serving as an analytical tool.

Amino Acid Sequence↗
PubMed2006

An enzyme that regulates ether lipid signaling pathways in cancer annotated by multidimensional profiling.

Hundreds, if not thousands, of uncharacterized enzymes currently populate the human proteome. Assembly of these proteins into the metabolic and signaling pathways that govern cell physiology and pathology constitutes a grand experimental challenge. Here, we address this problem by using a multidimensional profiling strategy that combines activity-based proteomics and metabolomics. This approach determined that KIAA1363, an uncharacterized enzyme highly elevated in aggressive cancer cells, serves as a central node in an ether lipid signaling network that bridges platelet-activating factor and lysophosphatidic acid. Biochemical studies confirmed that KIAA1363 regulates this pathway by hydrolyzing the metabolic intermediate 2-acetyl monoalkylglycerol. Inactivation of KIAA1363 disrupted ether lipid metabolism in cancer cells and impaired cell migration and tumor growth in vivo. The integrated molecular profiling method described herein should facilitate the functional annotation of metabolic enzymes in any living system.

Carbamates↗
PubMed2006

Neuroproteomics of the synapse and drug addiction.

Proteomic analyses of brain tissues are becoming an integral component of neuroscientific research. In particular, the essential role of the synapse in neurotransmission and plasticity has brought about extensive efforts to identify its protein constituents. Recent studies have used a combination of subcellular fractionation and proteomic techniques to identify proteins associated with different components of the synapse. Thus, a coherent map of the synapse proteome is rapidly emerging, and a timely review of these data is warranted. In the first part of this review, neuroproteomic techniques that have been used to analyze the synapse proteome are described. We then summarize the results from several recent proteomic analyses of mammalian synapses and discuss the similarities and differences in their profiling of synaptic proteins. Important advances in this field of research include the use of proteomics to analyze synaptic function and drug effects on synaptic proteins. This article presents an overview of proteomic analyses of the phosphorylation states of synaptic proteins and recent applications of neuroproteomic techniques to the study of drug addiction. Finally, we discuss the challenges in comparing proteomic studies of drug addiction and the future directions of this field in furthering our understanding of the molecular mechanisms underlying synaptic function and drug addiction.

Animals↗
PubMed2004

A technical trick for studying proteomics in parallel to transcriptomics in symbiotic root-fungus interactions.

We have developed a protocol in which proteins and mRNA can be analyzed from single root samples. This experimental design was validated in arbuscular mycorrhiza by comparing the proteins profiles obtained with those from a classical protein extraction process. It is a step forward to make simultaneous proteome and transcriptiome profiling possible.

Electrophoresis, Gel, Two-Dimensional↗