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PubMed2004

Global analysis of the Ralstonia metallidurans proteome: prelude for the large-scale study of heavy metal response.

A proteome map of Ralstonia metallidurans strain CH34 was constructed using two-dimensional (2-D) gel electrophoresis in combination with automated Edman degradation and mass spectrometry (MS). R. metallidurans CH34 is the type-strain of a family of highly related strains characterized by their multiple resistance to millimolar amounts of heavy metals, conferred by two large plasmids. The protein content of this bacterium grown in minimal medium was separated by 2-D gel electrophoresis using various pH gradients. Protein identification was carried out via N-terminal amino acid sequencing, matrix assisted laser desorption/ionisation-time of flight-mass spectrometry (MALDI-TOF-MS) and tandem MS. So far, 224 different proteins were characterized from 352 protein spots. Although the proteome map is still not complete, one could appraise the importance of proteomics for genome analyses through (i). the identification of previously undetected open reading frames, (ii). the identification of proteins not encoded by the already sequenced genome fragments, (iii). the characterization of protein-encoding genes spanning two different contigs, enabling their merging, and (iv). the precise delineation of the N-terminus of several proteins. Finally, this map will prove a useful tool in the identification of proteins differentially expressed in the presence of different heavy metals.

Databases, Protein↗
PubMed2025

Liquid Biopsy-Multiomics Link Adhesion Pathway Dysregulation to Kidney Injury Severity.

INTRODUCTION: Severe acute kidney injury (AKI) is strongly associated with the risk of developing chronic kidney disease; however, little is known about the cell type-specific mechanisms driving kidney injury severity. METHODS: In this multicenter observational study, we used clinically obtained liquid biopsy proteomics and machine learning (ML) to predict severe outcomes in patients with COVID-associated and non-COVID AKI. Further, we orthogonally combined 169 urine proteomics with 437 plasma proteomics samples and 40 urine sediment single-cell transcriptomics samples to identify complementary dysregulated mechanisms. RESULTS: Using a 10-fold cross-validated random forest algorithm, we identified a set of urinary proteins that demonstrate predictive power for both discovery and validation set with AUC of 87% and 76%, respectively. These predictive proteomics features obtained demonstrate that cell adhesion and autophagy-associated pathways are uniquely impacted in severe AKI. Differentially abundant proteins (DAPSs) associated with these pathways are highly expressed in cells of the juxtamedullary nephron, endothelial cells (ECs), and podocytes, indicating that these kidney cell types could be potential targets. Single-cell transcriptomic analysis in the in vitro model of kidney organoids infected with SARS-CoV-2 reveal dysregulation of extracellular matrix (ECM) organization in multiple nephron segments, recapitulating the clinically observed fibrotic response across multiomics datasets. Ligand-receptor interaction analysis of the podocyte and tubule organoid clusters shows significant reduction and loss of interaction between integrins and basement membrane receptors in the infected kidney organoids. CONCLUSION: Collectively, these data suggest that ECM degradation and adhesion-associated mechanisms could be the main driver of severe kidney injury.

AKI↗
PubMed2004

Proteomic approaches in endometriosis research.

To date, the quest to develop a noninvasive diagnostic test for endometriosis has mostly concentrated on the levels of cytokines and growth factors that are involved in inflammation, angioneogenesis and tissue remodeling, present in serum, peritoneal fluid, endometrium and endometriotic lesions. As this has not yet translated into the development of such a diagnostic test, proteomic techniques are now being employed to identify proteins that are potential biomarkers for the disease. As proteomics allows the comprehensive analysis of complex fluid and tissue samples with good sensitivity and resolution, it has promise in delivering markers associated with endometriosis. Once identified, the challenge will be in translating these markers into a clinically useful test for endometriosis, as the pathophysiology of this disease is unknown and likely to be complex and multifactorial. Also, with variation between individuals and the influences of steroid hormones during the menstrual cycle, it could be difficult to validate findings relating to a single protein or small groups of proteins differentially expressed in the disease state. Proteomic profiling, using mass spectrometry in combination with sophisticated bioinformatics software to identify protein patterns, may be where a significant clinical diagnostic contribution can be made.

Endometriosis↗
PubMed2005

Large-scale identification of proteins expressed in mouse embryonic stem cells.

A protein subset expressed in the mouse embryonic stem (ES) cell line, E14-1, was characterized by mass spectrometry-based protein identification technology and data analysis. In total, 1790 proteins including 365 potential nuclear and 260 membrane proteins were identified from tryptic digests of total cell lysates. The subset contained a variety of proteins in terms of physicochemical characteristics, subcellular localization, and biological function as defined by Gene Ontology annotation groups. In addition to many housekeeping proteins found in common with other cell types, the subset contained a group of regulatory proteins that may determine unique ES cell functions. We identified 39 transcription factors including Oct-3/4, Sox-2, and undifferentiated embryonic cell transcription factor I, which are characteristic of ES cells, 88 plasma membrane proteins including cell surface markers such as CD9 and CD81, 44 potential proteinaceous ligands for cell surface receptors including growth factors, cytokines, and hormones, and 100 cell signaling molecules. The subset also contained the products of 60 ES-specific and 41 stemness genes defined previously by the DNA microarray analysis of Ramalho-Santos et al. (Ramalho-Santos et al., Science 2002, 298, 597-600), as well as a number of components characteristic of differentiated cell types such as hematopoietic and neural cells. We also identified potential post-translational modifications in a number of ES cell proteins including five Lys acetylation sites and a single phosphorylation site. To our knowledge, this study provides the largest proteomic dataset characterized to date for a single mammalian cell species, and serves as a basic catalogue of a major proteomic subset that is expressed in mouse ES cells.

Animals↗
PubMed2003

Global organellar proteomics.

Cataloging the proteomes of single-celled microorganisms, cells, biological fluids, tissue and whole organisms is being undertaken at a rapid pace as advances are made in protein and peptide separation, detection and identification. For metazoans, subcellular organelles represent attractive targets for global proteome analysis because they represent discrete functional units, their complexity in protein composition is reduced relative to whole cells and, when abundant cytoskeletal proteins are removed, lower abundance proteins specific to the organelle are revealed. Here, we review recent literature on the global analysis of subcellular organelles and briefly discuss how that information is being used to elucidate basic biological processes that range from cellular signaling pathways through protein-protein interactions to differential expression of proteins in response to external stimuli. We assess the relative merits of the different methods used and discuss issues and future directions in the field.

Amino Acid Sequence↗
PubMed2006

[Preliminary proteomics analysis of the total proteins of HL Type cytoplasmic male sterility rice anther].

The proteins of HL type cytoplasmic male sterility rice anther of YTA (CMS) and YTB (maintenance line) were separated by two-dimensional electrophoresis with immobilized ph (3-10 non-linear) gradients as the first dimension and SDS-PAGE as the second. The silver-stained proteins spots were analyzed using Image Master 2D software, there were about 1800 detectable spots on each 2D-gel, and about 85 spots were differential expressed. With direct MALDI-TOF mass spectrometry analysis and protein database searching, 9 protein spots out of 16 were identified. Among those proteins, there were Putative nucleic acid binding protein, glucose-1-phosphate adenylyltransferase (ADP-glucose pyrophosphorylase, AGPase) (EC: 2.7.7.27) large chain, UDP-glucuronic acid decarboxylase, putative calcium-binding protein annexin, putative acetyl-CoA synthetase and putative lipoamide dehydrogenase etc. They were closely associated with metabolism, protein biosynthesis, transcription, signal transduction and so on, all of which are cell activities that are essential to pollen development. Some of the identified proteins, i.e. AGPase, putative lipoamide dehydrogenase and putative acetyl-CoA synthetase were deeply discussed on the relationship to CMS. AGPase catalyzes a very important step in the biosynthesis of alpha 1,4-glucans (glycogen or starch) in bacteria and plants: synthesis of the activated glucosyl donor, ADP-glucose, from glucose-1-phosphate and ATP. The lack of the AGPase in male sterile line might directly result in the reduction of starch, and the synthesis of starch was the most important processes during the development of pollen. In present research, the descent or reduction of putative lipoamide dehydrogenase and putative acetyl-CoA synthetase seemed involved in pollen sterility in rice. The degeneration and formation of various tissues during pollen development may impose high demands for energy and key biosynthetic intermediates. Under such conditions, the TCA cycle needs to operate fully, because the TCA cycle is an important source for many intermediates required for biosynthetic pathways, in addition to performing an oxidative, energy-producing role. Thus, it seemed reasonable to infer that the decrease of putative lipoamide dehydrogenase and putative acetyl-CoA synthetase in anther might prevent the conversion of pyruvate into acetyl-CoA, and as a result, the TCA cycle could no longer operate at a sufficient rate to meet all requirements in anther cells, leading to pollen sterility. This study gave new insights into the mechanism of CMS in rice and demonstrated the power of the proteomic approach in plant biology studies.

Electrophoresis, Polyacrylamide Gel↗
PubMed2005

Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway.

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

Amino Acid Sequence↗
PubMed2005

Large-scale gene expression analysis of cholesterol dependence in NS0 cells.

NS0, a nonsecreting mouse myeloma cell, is a major host line used for recombinant antibody production. These cells have a cholesterol-dependent phenotype and rely on an exogenous supply of cholesterol for their survival and growth. To better understand the physiology underlying cholesterol dependence, we compared NS0 cells, cultivated under standard cholesterol-dependent growth conditions (NS0), to cells adapted to cholesterol-independent conditions (NS0 revertant, NS0_r). Large-scale transcriptional analyses were done using the Affymetrix GeneChip array, MG-U74Av2. The transcripts expressed differentially across the two cell lines were identified. Additionally, proteomic tools were employed to analyze cell lysates from these two cell lines. Cellular proteins from both NS0 and NS0_r were subjected to 2D gel electrophoresis. MALDI-TOF mass spectrometry was performed to determine the identity of the differentially expressed spots. We examined the expression level of mouse genes directly involved in cholesterol biosynthesis, lipid metabolism, and central energy metabolism. Most of these genes were downregulated in the revertant cell type, NS0_r, compared to NS0. Overall, a large number of genes are expressed differentially, indicating that the reversal of cholesterol dependency has a profound effect on cell physiology. It is probable that a single gene mutation, activation, or inactivation is responsible for cholesterol auxotrophy. However, the wide-ranging changes in gene expression point to the distinct possibility of a regulatory event affecting the reversibility of auxotrophy, either directly or indirectly.

Animals↗
PubMed2004

Microarray analysis of activated mixed glial (microglia) and monocyte-derived macrophage gene expression.

Since macrophage activation can now be studied at a global level using modern microarray and proteomic analyses, discovery of novel macrophage activation genes is inevitable and important for understanding HIV-associated dementia (HAD). We isolated two different types of primary human macrophages: microglia and monocyte-derived macrophages (MDM) from brain tissue and whole blood, respectively. The microarray analysis of differentially regulated macrophage activation genes reported here supports our previous assertions that the mixed glia (MIX) cultured in starvation conditions (DMEM alone) are a non-activated, or "quiescent", tissue culture model for studying macrophage activation in the brain. Transcript levels from these quiescent cultures provided a background level of gene expression and allowed for the identification of upregulated macrophage activation genes in the MIX brain cultures upon treatment with an array of soluble activation factors: serum components, cytokines, and growth factors. We found that 914 genes in the MIX cultures and 734 genes in the MDM cultures had a greater than twofold increase in expression. We discovered 180 genes with expression that was increased more than twofold in both culture types. Microarray-specific statistical analyses were performed to complement fold change analysis: significance analysis of microarrays (SAM) and Partek Pro. In the MIX cultures, we detected over a 100-fold increase in IL-1beta and TIMP1 transcription; Caspase 9, S100A8 and 9, MMP12, IL-8, monocyte chemotactic protein 1 (MCP1), MRC-1, and IL-6 were also upregulated. Activation of starved MDM cultures resulted in fewer upregulated genes compared to MIX cultures. Genes upregulated in both MIX and MDM included CCL2 (MCP1), CCL7, CXCL5, TNFSF14, kinases, and phosphatases. These microarray data may provide leads for identifying previously unknown neurotoxins, disease biomarkers, and pathways responsible for the neuronal apoptosis observed in HAD and for the eventual identification of therapeutic targets and treatments.

Analysis of Variance↗
PubMed2024

Proteome-Scale Tissue Mapping Using Mass Spectrometry Based on Label-Free and Multiplexed Workflows.

Multiplexed bimolecular profiling of tissue microenvironment, or spatial omics, can provide deep insight into cellular compositions and interactions in healthy and diseased tissues. Proteome-scale tissue mapping, which aims to unbiasedly visualize all the proteins in a whole tissue section or region of interest, has attracted significant interest because it holds great potential to directly reveal diagnostic biomarkers and therapeutic targets. While many approaches are available, however, proteome mapping still exhibits significant technical challenges in both protein coverage and analytical throughput. Since many of these existing challenges are associated with mass spectrometry-based protein identification and quantification, we performed a detailed benchmarking study of three protein quantification methods for spatial proteome mapping, including label-free, TMT-MS2, and TMT-MS3. Our study indicates label-free method provided the deepest coverages of ∼3500 proteins at a spatial resolution of 50 μm and the highest quantification dynamic range, while TMT-MS2 method holds great benefit in mapping throughput at >125 pixels per day. The evaluation also indicates both label-free and TMT-MS2 provides robust protein quantifications in identifying differentially abundant proteins and spatially covariable clusters. In the study of pancreatic islet microenvironment, we demonstrated deep proteome mapping not only enables the identification of protein markers specific to different cell types, but more importantly, it also reveals unknown or hidden protein patterns by spatial coexpression analysis.

Proteome↗
PubMed2006

Identification of early proteomic markers for hepatic steatosis.

The identification of biomarkers for disease state, drug efficacy, and toxicity is becoming increasingly important for drug discovery and development. We have used two-dimensional differential in-gel electrophoresis and mass spectrometry to identify proteomic markers associated with hepatocellular steatosis in rats after dosing with a compound (CDA) in preclinical development. Rats were dosed daily for up to 5 days with CDA for measurement of blood biochemical parameters, histological, and proteomic analysis. Alterations in plasma glucose and liver transaminases were detected from dosing day 3 onward, and livers showed trace levels of hepatocellular vacuolation from 6 h which increased in extent and severity over the 5 day time course. The number of significantly altered protein spots increased over the 5 day time course, and Ingenuity Pathway Analysis showed that the predominant functions altered by CDA treatment were cell death and cellular assembly and organization. This included alterations in secreted proteins, endoplasmic reticulum and mitochondrial chaperones, antioxidant proteins, and enzymes involved in fatty acid biosynthesis. Comparative in vitro dosing studies showed similar alterations to the proteome, neutral lipid accumulation, and mitochondrial dehydrogenase activity in response to CDA treatment of cultured rat hepatocytes. The finding that several proteins showed significant changes in abundance before the onset of overt toxicity in vivo suggested that these could serve as predictive biomarkers of compounds with a propensity to induce liver steatosis. These markers underwent further direct analysis in the in vitro hepatocyte toxicity model to determine their utility in the development of high throughput assays for drug-induced steatosis.

Animals↗
PubMed2003

Proteomic analysis of hematopoietic stem cell-like fractions in leukemic disorders.

DNA microarray analysis has been applied to identify molecular markers of human hematological malignancies. However, the relatively low correlation between the abundance of a given mRNA and that of the encoded protein makes it important to characterize the protein profile directly, or 'proteome,' of malignant cells in addition to the 'transcriptome.' To identify proteins specifically expressed in leukemias, here we isolated AC133(+) hematopoietic stem cell-like fractions from the bone marrow of 13 individuals with various leukemic disorders, and compared their protein profiles by two-dimensional electrophoresis. A total of 11 differentially expressed protein spots corresponding to 10 independent proteins were detected, and peptide fingerprinting combined with mass spectrometry of these proteins revealed them to include NuMA (nuclear protein that associates with the mitotic apparatus), heat shock proteins, and redox regulators. The abundance of NuMA in the leukemic blasts was significantly related to the presence of complex karyotype anomalies. Conditional expression of NuMA in a mouse myeloid cell line resulted in the induction of aneuploidy, cell cycle arrest in G(2)-M phases, and apoptosis. These results demonstrate the potential of proteome analysis with background-matched cell fractions obtained from fresh clinical specimens to provide insight into the mechanism of human leukemogenesis.

Adult↗
PubMed2026

NPLOC4 Constructs Tumor Immunosuppressive Microenvironment in Pan-cancer and Hepatocellular Carcinoma.

INTRODUCTION: NPLOC4 (nuclear protein localization 4 homolog) is mainly involved in DNA damage, cell cycle, and ubiquitination promotion. Nonetheless, the role of NPLOC4 in the tumor immune microenvironment (TIME) and its potential as a promising tumor therapeutic target remains unclear. METHODS: Therefore, analyses of NPLOC4 mRNA and protein expression, RNA subcellular localization, and patient prognosis associated with NPLOC4 expression were conducted across multiple tumor types. Additionally, the correlations between NPLOC4 and immune cells, non-immune cells, and immune molecules within the tumor immune microenvironment (TIME) were investigated. These analyses utilized data from various public resources, including the Genotype-Tissue Expression (GTEx) project, The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), The Human Protein Atlas (HPA), Clinical Proteomic Tumor Analysis Consortium (CPTAC), TIMER2.0, KM-Plotter, The University of Alabama at Birmingham Cancer Data Analysis Portal (UALCAN), and Tumor Immune Single-cell Hub 2 (TISCH2). Subsequently, we utilized hepatocellular carcinoma (HCC) patients' cancer and adjacent tissues plus tumor cell lines to verify the differential RNA and protein expression of NPLOC4 via qRT-PCR and immunohistochemistry (IHC). Then, the relationship of NPLOC4 expression level with immune infiltration score, infiltration of effector immune cells, suppressive immune cells, and several vital immune checkpoints was analyzed in HCC immune microenvironment. Furthermore, the distribution of expression of NPLOC4 in various cells in the HCC microenvironment was determined through single-cell sequencing analysis. RESULTS: We discovered that NPLOC4 was up-regulated in a variety of tumors and was correlated with poor prognosis. NPLOC4 not only had the potential as a tumor prognostic marker and therapeutic target but also was strongly linked to immune cells, immune checkpoints, and immune-related molecules and pathways in HCC immune microenvironment. CONCLUSION: In summary, NPLOC4 may serve as a promising target for immunotherapy.

Humans↗
PubMed2003

Comprehensive proteomic profiling identifies serum proteomic signatures for detection of hepatocellular carcinoma and its subtypes.

BACKGROUND: Detection of hepatocellular carcinoma (HCC) in patients with chronic liver disease (CLD) is difficult. We investigated the use of comprehensive proteomic profiling of sera to differentiate HCC from CLD. METHODS: Proteomes in sera from 20 CLD patients with alpha-fetoprotein (AFP) <500 microg/L (control group) and 38 HCC patients (disease group) were profiled by anion-exchange fractionation (first dimension), two types (IMAC3 copper and WCX2) of ProteinChip Arrays (second dimension), and time-of-flight mass spectrometry (third dimension). Bioinformatic tests were used to identify tumor-specific proteomic features and to estimate the values of the tumor-specific proteomic features in the diagnosis of HCC. Cross-validation was performed, and we also validated the models with pooled sera from the control and disease groups, serum from a CLD patient with AFP >500 microg/L, and postoperative sera from two HCC patients. RESULTS: Among 2384 common serum proteomic features, 250 were significantly different between the HCC and CLD cases. Two-way hierarchical clustering differentiated HCC and CLD cases. Most HCC cases with advanced disease were clustered together and formed two subgroups that contained significantly more cases with lymph node invasion or distant metastasis. For differentiation of HCC and CLD by an artificial network (ANN), the area under the ROC curve was 0.91 (95% confidence interval, 0.82-1.01; P <0.0005) for all cases and 0.954 (95% confidence interval, 0.881-1.027; P <0.0005) for cases with nondiagnostic serum AFP (<500 microg/L). At a specificity of 90%, the sensitivity was 92%. Both cluster analysis and ANN correctly classified the pooled serum samples, the CLD serum sample with increased AFP, and the HCC patient in complete remission. CONCLUSION: Tumor-specific proteomic signatures may be useful for detection and classification of hepatocellular cancers.

Carcinoma, Hepatocellular↗
PubMed2006

Proteomic analysis of isolated membrane fractions from superinvasive cancer cells.

The superinvasive phenotype exhibited by paclitaxel-selected variants of an in vitro invasive clonal population of the human cancer cell line, MDA-MB-435S were examined using DIGE (Fluorescence 2-D Difference Gel Electrophoresis) and mass spectrometry. Isolation of membrane proteins from the MDA-MB-435S-F/Taxol-10p4p and parental populations was performed by temperature-dependent phase partitioning using the detergent Triton X-114. Subsequent DIGE-generated data analysed using Decyder software showed many differentially-expressed proteins in the membrane fraction. 16 proteins showing statistically significant upregulation in the superinvasive cells were identified by MALDI-ToF. Proteins upregulated in the superinvasive population include Galectin-3, Cofilin, ATP synthase beta subunit, voltage-dependent anion channel 1, voltage dependent anion channel 2, ER-60 protein, MHC class II antigen DR52, Beta actin, TOMM40 protein, Enolase 1, Prohibitin, Guanine nucleotide-binding protein, Annexin II, Heat shock 70 kDa protein, Stomatin-like protein 2 and Chaperonin. Many of these proteins are associated with inhibition of apoptosis, the progression of cancer, tumourigenicity, metastasis, actin remodelling at the leading edge of cells, polarized cell growth, endocytosis, phagocytosis, cellular activation, cytokinesis, and pathogen intracellular motility. These results suggest a correlation between the increased abundance of these proteins with the superinvasive phenotype of the paclitaxel-selected MDA-MB-435S-F/Taxol-10p4p population.

Breast Neoplasms↗
PubMed2004

Proteomic analysis of protein changes developing in rat hippocampus after chronic antidepressant treatment: Implications for depressive disorders and future therapies.

It is recognized that monoamine reuptake inhibitors (MARIs) exert beneficial effects in the treatment of major depression and general anxiety disorder. The aim of this study was to identify proteins regulated by this class of antidepressant using a proteome differential profiling approach. Either venlafaxine or fluoxetine was administered systemically to adult rats for 2 weeks, and protein patterns from rat hippocampal cytosolic extracts were compared by two-dimensional gel electrophoresis. Silver-stained protein spots displaying differential expression were identified by mass spectrometry. Thirty-three protein spots were modulated by both drug treatments compared to controls. The classification of several proteins that were sorted by function suggested convergent pathway activities for both MARIs at the post-receptor level. These included proteins associated with neurogenesis (insulin like growth factor 1 (IGF-1), glia maturation factor [GMF]-beta), outgrowth/maintenance of neuronal processes (hippocampal cholinergic neurostimulating peptide [HCNP], PCTAIRE-3), and with neural regeneration/axonal guidance collapsin response mediator protein (CRMP-2) systems. Other modulated proteins indicated an increase in neuronal vesicular cell trafficking and synaptic plasticity (Ras-related protein 4a (Rab4a), Ras-related protein 1b (Rab1b), heat shock protein 10 [HSP10]), as well as neurosteroidogenic (hydroxysteroid sulfotransferase A) and possible anti-apoptotic (dimethylargininase-1 L-N,N-dimethylarginine dimethylaminohydrolase-1 [DDAH-1], pyruvate dehydrogenase-E1 [PDH-E1], antioxidant protein-2 [AOP-2]) pathway-mediated regulatory events. Parallel studies to investigate further the effects of venlafaxine and fluoxetine on adult hippocampal neurogenesis in vivo by quantitative bromodeoxyuridine immunolabeling revealed a significant drug-induced increase in the proliferation rate and long-term survivability of progenitor stem cells located in the subgranular zone. These data suggest that MARIs share wide-ranging proteome changes within the hippocampal formation, beyond 5-HT/NE neurotransmission. This may reflect long-term functional adaptations required for antidepressant activity.

Animals↗
PubMed2003

Proteome analysis of rat pancreatic acinar cells: implication for cerulein-induced acute pancreatitis.

Cerulein pancreatitis was shown to be one of the best characterized models for acute pancreatitis. High doses of cerulein induce a dysregulation of the digestive enzyme production and cytoplasmic vacuolization and the death of acinar cells, edema formation, and an infiltration of inflammatory cells into the pancreas, which are similar symptoms shown in human acute pancreatitis. The present study aims to determine the differentially expressed proteins in cerulein-treated pancreatic acinar cells as an in vitro model for acute pancreatitis. Pancreatic acinar AR42J cells were treated with 10(-8) M cerulein for 24 h. The changed protein patterns separated by two-dimensional electrophoresis using pH gradients of 5-8 were conclusively identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry analysis of the peptide digests. Five differentially expressed proteins (heat shock protein 90, mitochondrial ATP synthase beta chain precursor, tubulin beta chain, 3-mercaptopyruvate sulfurtransferase, mitochondrial ATP synthase subunit D) were identified in cerulein-treated AR42J cells. These proteins are related to cellular stress such as reactive oxygen species, cytoskeletal function, and cell signaling. In conclusion, the differentially expressed proteins will provide valuable information to understand the pathophysiologic mechanism of acute pancreatitis and may be useful for prognostic indices of acute pancreatitis.

Amino Acid Sequence↗
PubMed2002

Detection of cathepsin B up-regulation in neoplastic thyroid tissues by proteomic analysis.

Nodular or multinodular goiter is the most common non-neoplastic thyroid disease and may be difficult to distinguish from true neoplastic thyroid diseases using microscopic criteria. We have used two-dimensional gel electrophoresis to study the protein patterns of thyroid tissues including normal thyroid, multinodular goiter, diffuse hyperplasia, follicular adenoma, follicular carcinoma and papillary carcinoma. Specific proteins, in the region of molecular mass 15-30 kDa and isoelectric point 4.5-6.5, were identified by electrospray tandem mass spectrometry and protein sequencing. The most distinctive protein found is cathepsin B, which could be detected as four spots, with differential expression in different thyroid diseases. In particular, two of these cathepsin B spots CB2 and CB3 are strongly up-regulated in neoplastic diseases, compared to non-neoplastic diseases. In addition, overexpression of ATP synthase D chain and prohibitin were observed in papillary carcinoma, which should allow it to be differentiated from follicular carcinoma. Changes in expression of other proteins were also observed in disease states compared to normal tissues, namely translationally controlled tumor protein, thioredoxin peroxidase 1, glutathione-S-transferase P, DJ-1 protein, superoxide dismutase (Cu, Zn), and heat shock protein 27, but these changes are less characteristic, so they do not allow the differentiation between neoplastic and non-neoplastic tissues. Thus, the proteomic approach is a useful diagnostic tool for studying diseases involving the thyroid nodule.

ATP Synthetase Complexes↗