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Results for “Proteomics techniques”

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PubMed2002

Human brain nucleoside diphosphate kinase activity is decreased in Alzheimer's disease and Down syndrome.

In brain, nucleoside diphosphate kinase (NDPK) and its coding gene, nm23, have been implicated to modulate neuronal cell proliferation, differentiation, and neurite outgrowth. However, a role of NDPK in neurodegenerative diseases has not been reported yet. Using proteomics techniques, we evaluated the protein levels of NDPK-A in seven brain regions from patients with Alzheimer's disease (AD) and Down syndrome (DS) showing AD-like neuropathology. NDPK-A was significantly decreased in brain regions (frontal, occipital, and parietal cortices) of both disorders. Due to the limitation of brain samples, the activity of NDPK was measured in three brain regions (frontal cortex, temporal cortex, and cerebellum). The specific activity of NDPK was significantly decreased in AD (frontal cortex) and DS (frontal and temporal cortices). Since NDPK-B could also drive the activity of NDPK, protein expression levels of both NDPK-A and NDPK-B were studied in frontal cortex by Western blot analysis. NDPK-A was significantly decreased in AD, which was consistent with the results of proteomics. However, NDPK-A was slightly decreased in DS and protein expression levels of NDPK-B in both DS and AD were moderately decreased, without reaching statistical significance. We propose that oxidative modification of NDPK could lead to the decreased activity of NDPK and, subsequently, influence several neuronal functions in neurodegenerative diseases as multifunctional enzyme through several mechanisms.

Alzheimer Disease↗

PubMed2005

A proteomic survey of rat cerebral cortical synaptosomes.

Previous findings from our laboratory and others indicate that two-dimensional gel electrophoresis (2-DE) can be used to study protein expression in defined brain regions, but mainly the proteins which are present in high abundance in glia are readily detected. The current study was undertaken to determine the protein profile in a synaptosomal subcellular fraction isolated from the cerebral cortex of the rat. Both 2-DE and liquid chromatography - tandem mass spectrometry (LC-MS/MS) procedures were used to isolate and identify proteins in the synaptosomal fraction and accordingly >900 proteins were detected using 2-DE; the 167 most intense gel spots were isolated and identified with matrix-assisted laser desorption/ionization - time of flight peptide mass fingerprinting or LC-MS/MS. In addition, over 200 proteins were separated and identified with the LC-MS/MS "shotgun proteomics" technique, some in post-translationally modified form. The following classes of proteins associated with synaptic function were detected: (a) proteins involved in synaptic vesicle trafficking-docking (e.g., SNAP-25, synapsin I and II, synaptotagmin I, II, and V, VAMP-2, syntaxin 1A and 1B, etc.); (b) proteins that function as transporters or receptors (e.g., excitatory amino acid transporters 1 and 2, GABA transporter 1); (c) proteins that are associated with the synaptic plasma membrane (e.g., post-synaptic density-95/synapse-associated protein-90 complex, neuromodulin (GAP-43), voltage-dependent anion-selective channel protein (VDACs), sodium-potassium ATPase subunits, alpha 2 spectrin, septin 7, etc.); and (d) proteins that mediate intracellular signaling cascades that modulate synaptic function (e.g., calmodulin, calcium-calmodulin-dependent protein kinase subunits, etc.). Other identified proteins are associated with mitochondrial or general cytosolic function. Of the two proteins identified as endoplasmic reticular, both interact with the synaptic SNARE complex to regulate vesicle trafficking. Taken together, these results suggest that the integrity of the synaptosomes was maintained during the isolation procedure and that this subcellular fractionation technique enables the enrichment of proteins associated with synaptic function. The results also suggest that this experimental approach can be used to study the differential expression of multiple proteins involved in alterations of synaptic function.

Animals↗

PubMedDate not supplied

Comparative analysis of the tear protein expression in blepharitis patients using two-dimensional electrophoresis.

Change in the expression of body fluid proteins is caused by many diseases or environmental disturbances. The changes in tear proteins are also associated with various pathological eye conditions. Especially, chronic blepharitis is one of the most common conditions seen in the ophthalmologist's office. However, there are no specific clinical diagnostic tests for blepharitis, and it is difficult to treat effectively. Therefore, the aim of this study was to screen prognostic or diagnostic marker tear proteins for blepharitis and investigate pathogenesis of this disease using proteomics techniques. The tear proteins expressed in patients suffering from blepharitis (patient, n=19) and healthy volunteers (control, n=27) were analyzed using the two-dimensional electrophoresis (2-DE) technique. The differentially expressed proteins in patients were identified with ESI-Q-TOF (electrospray-quadrupole-time-of-flight) mass spectrometry and confirmed with western blotting. Nine proteins in patient were down regulated about 50% compared to those of the control: serum albumin precursor, alpha-1 antitrypsin, lacritin precursor, lysozyme, Ig-kappa chain VIII, prolactin inducible protein (PIP/GCDFP-15), cystatin-SA III, pyruvate kinase, and an unnamed protein. The use of the two-dimensional eletrophoretic technique could give more insight into the disease-related protein expression changes in tear fluids. Our findings reveal that the composition of tear proteins in blepharitis patients is different from that of healthy subjects and may provide further insights into the pathogenesis of blepharitis.

Aged↗

PubMed2002

Selective contribution of the twin-arginine translocation pathway to protein secretion in Bacillus subtilis.

The availability of the complete genome sequence of Bacillus subtilis has allowed the prediction of all exported proteins of this Gram-positive eubacterium. Recently, approximately 180 secretory and 114 lipoprotein signal peptides were predicted to direct protein export from the cytoplasm. Whereas most exported proteins appear to use the Sec pathway, 69 of these proteins could potentially use the Tat pathway, as their signal peptides contain RR- or KR-motifs. In the present studies, proteomic techniques were applied to verify how many extracellular B. subtilis proteins follow the Tat pathway. Strikingly, the extracellular accumulation of 13 proteins with potential RR/KR-signal peptides was Tat-independent, showing that their RR/KR-motifs are not recognized by the Tat machinery. In fact, only the phosphodiesterase PhoD was shown to be secreted in a strictly Tat-dependent manner. Sodium azide-inhibition of SecA strongly affected the extracellular appearance of de novo synthesized proteins, including the lipase LipA and two other proteins with predicted RR/KR-signal peptides. The SecA-dependent export of pre-LipA is particularly remarkable, because its RR-signal peptide conforms well to stringent criteria for the prediction of Tat-dependent export in Escherichia coli. Taken together, our observations show that the Tat pathway makes a highly selective contribution to the extracellular proteome of B. subtilis.

Amino Acid Sequence↗

PubMed2006

Proteome analysis of human liver carcinoma Huh7 cells harboring hepatitis C virus subgenomic replicon.

Chronic infection by hepatitis C virus (HCV) is closely correlated with serious liver diseases. Although considerable progress has been made during recent years, the mechanism of replication and pathogenesis of HCV infection are still elusive. We have applied proteomic techniques in this work to globally analyze the protein expression profiles of a human liver cell lines Huh7 in absence and presence of HCV replication, aiming at elucidating the components of HCV replication and the cellular responses to HCV replication. The protein mixtures of three subcellular fractions from Huh7 and Huh7-HCV were separated by 2-DE under various pH gradients. Differentially expressed spots were identified by MALDI-TOF MS, followed by database searching. A total of 179 comparative proteins were identified unambiguously, including proteins associated with host cytoskeleton, intracellular traffic, oxidative and ER stress, proteasome degradation, translation, apoptosis, proliferation, etc. Host proteins known to interact with HCV proteins, such as HSP27, alpha-actinin, nucleolin and eukaryotic initiation factor 4A-I, were elevated in Huh7-HCV cells. Our study provides the global information of proteomic alteration of Huh7 cells in the presence of HCV replication and the clues for further understanding of the mechanism of HCV replication and pathogenesis.

Carcinoma, Hepatocellular↗

PubMed2004

Proteome analysis reveals elevated serum levels of clusterin in patients with preeclampsia.

Preeclampsia is a pregnancy-specific syndrome and a major cause of maternal mortality. The pathophysiology of preeclampsia is unknown, and no proteome analysis of preeclampsia has been reported. We sought to identify proteins associated with preeclampsia using a proteomic technique and performed two-dimensional electrophoresis (2-DE) on sera from six patients with preeclampsia and six normal pregnant women, followed by comparison of the SYPRO Ruby-stained 2-DE profiles. A group of overexpressed spots was identified in the limited study set. Overexpressed spots were identified as clusterin by matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) followed by peptide mass fingerprinting, a protein database search, and Western blot analysis. Additionally, sera of 80 preeclamptic women and 80 normal pregnant women were processed by immunoassay methods to confirm changes in clusterin concentrations quantitatively. Immunoassays showed that clusterin levels in the 80 preeclamptic women were significantly higher than those in the 80 controls (mean +/- SD; 1.62 +/- 0.46 times reference level in preeclamptic women vs. 1.30 +/- 0.46 times reference level in controls, P < 0.001). Proteomic analysis of serum proteins is a promising tool for studying preeclampsia pathophysiology and identifying proteins associated with preeclampsia.

Blood Proteins↗

PubMed2006

Proteomics analysis of protein kinases by target class-selective prefractionation and tandem mass spectrometry.

Protein kinases constitute a large superfamily of enzymes with key regulatory functions in nearly all signal transmission processes of eukaryotic cells. However, due to their relatively low abundance compared with the vast majority of cellular proteins, currently available proteomics techniques do not permit the comprehensive biochemical characterization of protein kinases. To address these limitations, we have developed a prefractionation strategy that uses a combination of immobilized low molecular weight inhibitors for the selective affinity capture of protein kinases. This approach resulted in the direct purification of cell type-specific sets of expressed protein kinases, and more than 140 different members of this enzyme family could be detected by LC-MS/MS. Furthermore the enrichment technique combined with phosphopeptide fractionation led to the identification of more than 200 different phosphorylation sites on protein kinases, which often remain occluded in global phosphoproteome analysis. As the phosphorylation states of protein kinases can provide a readout for the signaling activities within a cellular system, kinase-selective phosphoproteomics based on the procedures described here has the potential to become an important tool in signal transduction analysis.

Cell Line, Tumor↗

PubMed2006

Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.

BACKGROUND: Like microarray-based investigations, high-throughput proteomics techniques require machine learning algorithms to identify biomarkers that are informative for biological classification problems. Feature selection and classification algorithms need to be robust to noise and outliers in the data. RESULTS: We developed a recursive support vector machine (R-SVM) algorithm to select important genes/biomarkers for the classification of noisy data. We compared its performance to a similar, state-of-the-art method (SVM recursive feature elimination or SVM-RFE), paying special attention to the ability of recovering the true informative genes/biomarkers and the robustness to outliers in the data. Simulation experiments show that a 5%- approximately 20% improvement over SVM-RFE can be achieved regard to these properties. The SVM-based methods are also compared with a conventional univariate method and their respective strengths and weaknesses are discussed. R-SVM was applied to two sets of SELDI-TOF-MS proteomics data, one from a human breast cancer study and the other from a study on rat liver cirrhosis. Important biomarkers found by the algorithm were validated by follow-up biological experiments. CONCLUSION: The proposed R-SVM method is suitable for analyzing noisy high-throughput proteomics and microarray data and it outperforms SVM-RFE in the robustness to noise and in the ability to recover informative features. The multivariate SVM-based method outperforms the univariate method in the classification performance, but univariate methods can reveal more of the differentially expressed features especially when there are correlations between the features.

Algorithms↗

PubMed2025

Tonic signaling of the B-cell antigen-specific receptor is a common functional hallmark in chronic lymphocytic leukemia cell phosphoproteomes at early disease stages.

B-cell chronic lymphocytic leukemia (B-CLL) is characterized by highly heterogeneous genomic alterations and altered signaling pathways, with limited studies on its proteome. Our study presents a comprehensive analysis of the proteome and phosphoproteome in B-CLL and CLL-like monoclonal B-cell lymphocytosis (MBL) primary cells. Using high-resolution mass spectrometry, we identified 2970 proteins and 316 phosphoproteins across five tumor samples, including 55 newly identified phosphopeptides (ProteomeXchange-PXD005997). Our multifaceted approach also integrated protein microarrays and western blotting for further data validation in a new patient cohort of 14 patients. Despite sharing 73% of their proteomes, the phosphoproteomes varied significantly among samples, independent of cytogenetic alterations and immunoglobulin heavy variable cluster (IGHV) mutational status. We identified common functional hallmarks in B-CLL and MBL phosphoproteomes, notably tonic signaling (low-level, constitutive signaling) of the B-cell antigen-specific receptor (BCR) and nuclear factor NF-kappa-B (NF-kβ)/signal transducer and activator of transcription 3 (STAT3) pathways. Nine phosphoproteins involved in BCR signaling were further validated, showing a high correlation with early disease stages. Our study advances the field by providing a detailed perspective on the proteome and phosphoproteome of B-CLL cells, revealing signaling pathways crucial for disease development and progression. Integrating diverse proteomics techniques and identifying novel phosphopeptides offers new insights into CLL biology, potentially informing future therapeutic strategies and biomarker development for early diagnosis and personalized treatment.

Humans↗

PubMed2006

Proteomics of p53 in diagnostics and therapy of acute myeloid leukemia.

The anti-oncogene TP53 is frequently mutated in human cancer, but in hematological malignancies this is a rare feature. In acute myeloid leukemia (AML) more than 90% of the patients comprise wild type TP53 in their cancer cells, but if TP53 is mutated or deleted the disease is often found to be chemoresistant. In this review we define proteomics of the oncogene product p53 as the study of proteins in the p53 regulating signaling networks, as well as the protein study of members of the p53 family itself. Various messenger RNA splice forms as well as a multitude of post-translational modifications give a high number of protein isoforms in the p53 family. Some of the proteomic techniques allow detection of various isoforms, such as two-dimensional gel electrophoresis in combination with tandem mass spectrometry (MS/MS) and this methodology may therefore increasingly be used as a diagnostic tool in human disease. We introduce the p53 protein as an illustration of the complexity of post-translational modifications that may affect one highly connected protein and discuss the possible impact in AML diagnostics if the p53 profile is reflecting cell stress and status of signal transduction systems of the malignancy.

Acetylation↗

PubMed2007

Evaluation of two proteomics technologies used to screen the membrane proteomes of wild-type Corynebacterium glutamicum and an L-lysine-producing strain.

The membrane proteomes of a wild-type Corynebacterium glutamicum and an L-lysine-producing strain were quantitatively analyzed by two complementary proteomics techniques -- anion exchange chromatography AIEC/SDS-PAGE and 16BAC-PAGE/SDS-PAGE -- and the results were compared. Although both techniques allow for the fast screening of differences in protein abundance, AIEC/SDS-PAGE was superior to 16BAC-PAGE/SDS-PAGE with respect to protein separation, it was more suitable for relative protein quantification, and allowed more differentially regulated proteins to be detected (the succinate dehydrogenase complex, an ABC-type cobalamin/Fe(3+) siderophore transport system, the maltose binding protein, and a subunit of the cytochrome bc-aa(3) supercomplex were upregulated, while a periplasmic component of an ABC-type transporter and an iron-regulated ABC-type transporter were downregulated in the producer). The results indicate the important role of tricarboxylic acid cycle enzymes as well as the adaptation of transport processes in L-lysine-producing cells. Since the only genetic differences between the wild type and the L-lysine producer occur between four central metabolic enzymes in the cytoplasm, our study illustrates the complex effects of metabolic engineering on cell physiology and the power of the new AIEC/SDS-PAGE proteomics approach to detect these effects.

ATP-Binding Cassette Transporters↗

PubMed2005

Proteomic identification of proteins specifically oxidized in Caenorhabditis elegans expressing human Abeta(1-42): implications for Alzheimer's disease.

Protein oxidation has been shown to lead to loss of protein function, increased protein aggregation, decreased protein turnover, decreased membrane fluidity, altered cellular redox poteintial, loss of Ca2+ homeostaisis, and cell death. There is increasing evidence that protein oxidation is involved in the pathogenesis of Alzheimer's disease and amyloid beta-peptide (1-42) has been implicated as a mediator of oxidative stress in AD. However, the specific implications of the oxidation induced by Abeta(1-42) on the neurodegeneration evident in AD are unknown. In this study, we used proteomic techniques to identify specific targets of oxidation in transgenic Caenorhabditis elegans (C. elegans) expressing human Abeta(1-42). We identified 16 oxidized proteins involved in energy metabolism, proteasome function, and scavenging of oxidants that are more oxidized compared to control lines. These results are discussed with reference to Alzheimer's disease.

Amyloid beta-Peptides↗

PubMed2004

Proteome profile changes during transdifferentiation of NRP-152 rat prostatic basal epithelial cells.

NRP-152 is an androgen responsive, non-tumorigenic cell line, which shows basal epithelial cell characteristics under normal growth conditions. It has been noted that NRP-152 undergoes morphological and cytoskeletal changes toward its luminal counterpart NRP-154 when it is grown under growth restrictive conditions. We have extensively investigated the details of protein change of NRP-152 during transdifferentiation using proteomic techniques. NRP-152 cells were cultured under normal and growth restrictive media conditions for 3, 5 days. NRP-154 cells were normally cultured. Protein samples were submitted to 2D gel electrophoresis and silver stained. Protein patterns on the gels were comparatively analysed using Melanie III software. Protein spots exhibiting significant changes in NRP-152 cells during the time course were excised and subjected to in-gel tryptic digestion. After 6 days of growth restrictive conditions in NRP-152, the cells were morphologically changed resembling luminal phenotype. Of the 35 protein spots that were up-reglated, 20 proteins from 21 spots were identified by peptide mass fingerprinting and, of 21 proteins spots that were down-regulated, 10 proteins from 12 spots were identified as landmark proteins. Our study confirmed that basal NRP-152 cells were proportionally transdifferentiated into luminal featuring cells according to the duration of growth restrictive culture conditions. This suggests that human prostatic basal epithelial cells may be changed into luminal cells under certain conditions. Proteomic approach enabled us to identify 30 proteins involved in this differentiation with a single experiment. These proteins will be subjected to further functional studies to evaluate their possible roles related to cellular differentiation. These data strongly support that proteomics is a very powerful approach for studying physiologic and pathologic cellular changes such as differentiation and carcinogenesis.

Animals↗

PubMed2005

Proteome analysis of mouse primary astrocytes.

Astrocytes play a role in energy metabolism, neuronal homeostasis and release of neuronal growth factors and several neurotransmitters. They also relate to a variety of brain diseases and contribute to restore brain dysfunction. Although current research has revealed several roles for astrocytes, knowledge on astrocytic protein expression is limited and a systematic and comprehensive proteome study of astrocytes has not been reported so far. We applied a proteomics technique based on two-dimensional gel electrophoresis coupled with mass spectrometry (MALDI-TOF/TOF) and unambiguously identified 301 spots corresponding to 191 individual proteins in primary mouse astrocytes. The identified proteins were from antioxidant, chaperone, cytoskeleton, nucleic acid binding, signaling, proteasomal, hypothetical and miscellaneous proteins. A reference database is provided and proteins were identified in astrocytes specifically and unambiguously for the first time. A reliable analytical tool independent of antibody availability and specificity along with tentative astrocytic marker proteins is described.

Animals↗

PubMed2006

Genes involved in neuroendocrine tumor biology.

The fascinating, but often unpredictable, biology of neuroendocrine tumors (NETs) make the management of these malignancies a real challenge. The more recent development of high-throughput genomic and proteomic techniques, have opened a window to an increased knowledge of the biology of NETs. This review will discuss genes thought to play a role in the context of NE tumor biology, with particularly attention to those that may be potential new diagnostic and prognostic markers, as well as therapeutic targets. NETs constitute a heterogeneous group of neoplasm that may arise in virtually every topographic localization in the body, as a consequence of malignant transformation of various types of NE cells. Since NETs arising in the gastroenteropancreatic (GEP) or bronchopulmonary system are by far the most common, this review focuses on these entities, but lines are drawn to other NETs as well. Although large-scale gene expression analysis undoubtly have raised interesting new hypothesis concerning genes thought to play a role in tumor biology, discrepancies observed between studies and various platforms used, emphasizes the need to not only standardize the way microarray data are reported, but also to introduce standards in sample taking, processing and study design. In addition, the recognition of the complexity of the human proteome, with regard to generation of multiple isoforms from one gene, has created additional challenges. However,some goals have been reached already, as new knowledge has been translated into development of novel promising therapeutics.

Animals↗

PubMed2006

Proteomics studies of post-translational modifications in plants.

Post-translational modifications of proteins greatly increase protein complexity and dynamics, co-ordinating the intricate regulation of biological events. The global identification of post-translational modifications is a difficult task that is currently accelerated by advances in proteomics techniques. There has been significant development in sample preparation methods and mass spectrometry instrumentation. To reduce the complexity and to increase the amount of modified proteins available for analysis, proteins are usually subjected to prefractionation such as chromatographic purification and affinity enrichment. In this review, the post-translational modification studies in plants are summarized. The sample preparation strategies applied to each study are also described. These include affinity-based enrichment methods, immobilized metal affinity chromatography and immunoprecipitation used for phosphorylation and ubiquitination studies, respectively, and the phase partitioning approach for glycosylphosphatidylinositol modification studies.

Chromatography, Affinity↗

PubMed2003

Are synovial biopsies of diagnostic value?

Synovial tissue is readily accessible by closed needle or arthroscopic biopsy. These techniques provide adequate tissue for most diagnostic requirements. Examination of synovial tissue can assist in the diagnosis of some joint infections, and in several atypical or rare synovial disorders. Histological confirmation is not normally required for diagnosis of the common forms of inflammatory arthritis, including rheumatoid arthritis (RA). In patients with either established or early RA, immunohistological measures of inflammation in synovial tissue are associated with clinical measures of disease activity, may predict the clinical outcome, and change in response to treatment. Surrogate markers of disease activity and outcome that have been identified in synovial tissue include components of the cellular infiltrate, and several mediators of inflammation and matrix degradation. There is evidence that the very early introduction of disease-modifying therapy inhibits progressive structural damage maximally. Clinicians exploiting this 'window of opportunity' therefore require very early indicators of the diagnosis and outcome in patients who present with an undifferentiated inflammatory arthritis. Some immunohistological features have been described that distinguish patients who are likely to develop progressive RA and who might benefit most from early aggressive therapeutic intervention. In this regard, the inclusion of pharmacogenomic and proteomic techniques in the analysis of synovial tissue presents some exciting possibilities for future research.

Arthritis↗

PubMed2003

Target validation.

With the publication of draft maps of the human genome and an interim agreement that the human genome comprises approximately 21000 genes, there has been considerable anticipation that many novel disease-specific molecular targets will be rapidly identified and that these will form the basis of many new drug discovery programs. Genes associated with a given disease can thus be identified using genotyping and microarray approaches. However, transitioning from the identification to the subsequent validation and prioritization of their cognate proteins as bona fide drug targets using proteomic techniques--a process that could appropriately be termed targetomics--is still very much in its infancy, with expectations far exceeding present capabilities. The criteria for target validation have yet to be determined and the timing to success has been underestimated. Integrated pharmacological approaches that involve the use of the traditional null hypothesis approach and statistically validated replication have been largely overlooked in the enthusiasm to be the first to find new targets. Inevitably, the only useful measure of target validation occurs when a drug-like molecule, selective for the identified target, is advanced to the clinic where it can be shown to be efficacious in the appropriate human disease state.

Animals↗