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Results for “targeted proteomic analysis”

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PubMed2001

Proteome survey of proliferating and differentiating rat RPE-J cells.

The suitability of the rat derived SV-40T immortalized RPE-J cell line for identifying proteome changes associated with RPE differentiation was evaluated by surveying changes in protein expression levels. Rat RPE-J cells were induced to undergo differentiation in culture by growth at the nonpermissive temperature of 40 degrees C in the presence of retinoic acid. Total proteins were extracted from cells grown under proliferating or differentiating conditions and separated by 1D and 2D gel electrophoresis. Gel spots were excised, digested in situ with trypsin, and analysed by mass spectrometry to identify proteins. Computer assisted image analysis was used to align gel patterns and quantify spot intensities. Neither proliferating nor differentiating RPE-J cell cultures exhibited detectable levels of cellular retinaldehyde-binding protein, RPE65, 11- cis -retinol dehydrogenase or lecithin retinol acyl transferase, suggesting that RPE-J cells are not appropriate for visual cycle studies. About 18% of the 61 identified proteins appear to change expression levels with the cell growth conditions. Seven proteins appeared to be up-regulated and four proteins down-regulated when the cells were changed from proliferating to differentiating culture conditions. The majority of the apparent changes in protein expression levels were associated with stress response genes. Significant changes in the apparent mass and charge properties of proteins were also observed and for select proteins, the modifications appeared to be correlated with cell growth conditions. The results demonstrate that proteome differences in RPE-J cells associated with growth conditions can be identified and support the suitability of RPE-J cells for more targeted and/or more global proteome analysis of RPE differentiation.

Animals↗

PubMed2005

Proteomic identification of proteins conjugated to ISG15 in mouse and human cells.

Though the interferon-inducible protein ISG15 was one of the first ubiquitin-like modifiers to be discovered, much remains unknown about the identity of proteins conjugated to ISG15 or the biologic consequences of modification. To gain a better understanding of the cellular pathways affected by ISG15, we identified proteins targeted for ISGylation using a proteomic approach. Mass spectrometric analysis identified 76 candidate ISGylation targets in anti-ISG15 immunoprecipitates from interferon-treated mouse or human cells. Twenty-one proteins were found in both mouse and human samples, including STAT1, a known target of ISGylation. Candidates identified in both species were tested for ISGylation in a transfection system: 18 of 19 proteins tested were ISGylated in this system. Two candidates, EF-2 and VCP, were also shown to be ISGylated in an interferon-dependent manner in the absence of exogenous over-expression. Seven proteins identified from a single species, but functionally related to candidates found in both species, were also ISGylated in the over-expression system. Proteins that can be ISGylated play important roles in translation, glycolysis, stress responses, and cell motility. These data indicate that ISGylation targets proteins found in several fundamentally important cellular pathways and will contribute to understanding the physiologic role of interferon-induced ISG15 and ISG15 conjugation.

Animals↗

PubMed2002

[Analysis of the proteomic changes of the serum of the Smad3 targeted deficient mice].

We have studied the proteomic changes of the serum of the Smad3 targeted deficient mice using 2-DE and PMF approaches. 7 proteins expressed at different level in wild type mice and the Smad3 deficient mice were identified. These results would benefit the research on diagnosis and therapy of osteoarthritis and provided clues to studying the important function of Smad3 mediated TGF-beta signals during the skeletal development.

Animals↗

PubMed2004

Proteomic analysis identifies immunophilin FK506 binding protein 4 (FKBP52) as a downstream target of Hoxa10 in the periimplantation mouse uterus.

The process of implantation absolutely requires synchronized development of the blastocyst to implantation competency, differentiation of the uterus to the receptive state, and a reciprocal dialogue between the blastocyst and uterine luminal epithelium. Genetic and molecular approaches have identified several signaling pathways that are critical to this process. The transcription factor Hoxa10 is one such critical player in implantation. Hoxa10-/- female mice have implantation and decidualization failure due specifically to reduced uterine responsiveness to progesterone and defective stromal cell proliferation during uterine receptivity and implantation. However, the downstream signaling pathways of Hoxa10 in these events remain largely unknown. Using the proteomics approach of difference gel electrophoresis, we have identified an immunophilin FKBP52 (FK506 binding protein 4) as one of the Hoxa10-mediated signaling molecules in the uterus. We found that FKBP52, a cochaperone protein known to influence steroid hormone receptor functions, is down-regulated in stromal cells of Hoxa10-/- mice. More importantly, FKBP52 shows differential uterine cell-specific expression during the periimplantation period. Whereas it is primarily expressed in the uterine epithelium on d 1 of pregnancy, the expression expands to the stroma on d 4 during the period of uterine receptivity and becomes localized to decidualizing stromal cells surrounding the implantation site on d 5. This suggests that FKBP52 is important for the attainment of uterine receptivity and implantation. Furthermore, FKBP52 shows differential cell-specific expression in the uterus in response to progesterone and/or estrogen consistent with its expression patterns during the periimplantation period. Collectively, these results and the female infertility phenotype of FKBP52 suggest that a Hoxa10-FKBP52 signaling axis is critical to uterine receptivity and implantation.

Amino Acid Sequence↗

PubMed2026

Editor's Choice - Aquaporin-4: A Predictor and Therapeutic Target for Permanent Paraplegia after Endovascular Thoraco-abdominal Aortic Aneurysm Repair.

OBJECTIVE: Endovascular thoraco-abdominal aortic aneurysm (TAAA) repair can impair spinal cord perfusion, leading to paraplegia. The mechanisms driving this devastating complication are poorly understood. This study aimed to interrogate the cerebrospinal fluid (CSF) proteome in patients after TAAA repair to identify biomarkers that herald permanent paraplegia. It also aimed to investigate a potential therapeutic target identified by proteomics using an in vivo model of ischaemic spinal cord injury (iSCI). METHODS: CSF was collected for proteomic analysis from patients before and following TAAA repair. A differentially expressed protein identified in human paraplegic subjects was subsequently interrogated in a rodent model of iSCI. The protein composition of CSF was analysed using tandem mass tag proteomics. Neurological examinations were carried out by a blinded neurologist and T2 weighted magnetic resonance imaging (MRI) was used to measure spinal cord volume and oedema. A rodent model of iSCI was used to investigate a clinically relevant therapeutic target informed by proteomic findings. RESULTS: CSF analysis was taken from 37 patients, all of whom had aneurysm repair using a custom branched and or fenestrated device (median age 73.5 years, range 67 - 78 years; 27 men, ten women; Crawford classification: six type I, 11 type II, 15 type III, three type IV, and two type V). Five patients remained permanently paraplegic and seven recovered from transient paraplegia. The CSF of patients who remained paraplegic contained approximately fourfold more aquaporin-4 (AQP4) (41.8 ± 19.2 ng/mL, n = 5) than those who recovered from paraplegia (10.8 ± 1.3 ng/mL, n = 7; p = .005) or did not develop paraplegia (10.8 ± 1.2 ng/mL, n = 25; p = .004). Permanently paraplegic patients had CSF AQP4 levels > 15 ng/mL and this was associated with greater cord oedema on T2 weighted MRI (1.77 ± 0.19 vs. 1.03 ± 0.36; p = .032). In a rodent model of iSCI, AQP4 inhibition preserved spinal neurons and glia in the dorsal horn and intermediate zones of white matter (p = .004) and protected against ischaemia induced paraplegia (p < .001). CONCLUSION: The AQP4 level in the CSF of a patient represents a prognostic marker of permanent paraplegia after TAAA repair and highlights a novel therapeutic target. These findings represent a conceptual advance in the management of iSCI.

Paraplegia↗

PubMed2003

Proteome analysis at the level of subcellular structures.

The targeting of proteins to particular subcellular sites is an important principle of the functional organization of cells at the molecular level. In turn, knowledge about the subcellular localization of a protein is a characteristic that may provide a hint as to the function of the protein. The combination of classic biochemical fractionation techniques for the enrichment of particular subcellular structures with the large-scale identification of proteins by mass spectrometry and bioinformatics provides a powerful strategy that interfaces cell biology and proteomics, and thus is termed 'subcellular proteomics'. In addition to its exceptional power for the identification of previously unknown gene products, the analysis of proteins at the subcellular level is the basis for monitoring important aspects of dynamic changes in the proteome such as protein transloction. This review summarizes data from recent subcellular proteomics studies with an emphasis on the type of data that can retrieved from such studies depending on the design of the analytical strategy.

Animals↗

PubMed2026

Plasma Proteomics Identifies Thousand-and-One-Amino Acid Kinase 3 as a Potential Biomarker of Rheumatoid Arthritis Activity and a Novel Therapeutic Target.

OBJECTIVE: Bone destruction associated with active rheumatoid arthritis (RA) remains a major therapeutic challenge, with a lack of reliable molecular markers reflecting bone injury. This study aims to identify novel biomarkers linked to bone destruction in active RA through proteomic analysis, providing new strategies for precise monitoring and targeted therapy. METHODS: Data-independent acquisition mass spectrometry was used for proteomic quantification and bioinformatic analysis on plasma samples from 160 patients with RA and 40 healthy controls. Key proteins associated with bone destruction were screened by integrating Sharp scores with synovial single-cell RNA sequencing data and subsequently validated in two independent cohorts (N1 = 50 and N2 = 10) using enzyme-linked immunosorbent assay and multiplex immunohistochemistry. Functional studies were conducted using fibroblast-like synoviocytes (FLSs) in vitro and a collagen-induced arthritis (CIA) mouse model in vivo. RESULTS: A total of 4,998 plasma proteins were identified, with 506 showing significant differential expression between active and remitted RA. Thousand-and-one-amino acid kinase 3 (TAOK3) levels were positively associated with Sharp scores and markedly elevated in patients with active RA. Combining TAOK3 with C-reactive protein improved diagnostic accuracy for active RA (area under the curve = 0.915). High TAOK3 expression was also associated with increased relapse frequency. Functional studies showed that TAOK3 knockdown suppressed the tumor-like phenotype of FLSs and down-regulated matrix metalloproteinase 1/2/3 and cathepsin K, whereas TAOK3 overexpression promoted pannus cell-mediated bone erosion, mitigated by TAOK3-targeted inhibitor. In vivo, its inhibition showed therapeutic effects in CIA mice. CONCLUSION: TAOK3 serves as a potential biomarker for bone destruction in active RA and as a therapeutic target for precision monitoring and intervention.

Arthritis, Rheumatoid↗

PubMed2005

Structure specific chromatographic selection in targeted proteomics.

The whole proteome of any organism is too complicated to be analyzed in a simple one-step process and direct attempts for the entire proteome analysis normally lead to considerable loss of information. A practical approach is the targeting of the specific structural feature of interest using chromatography. This approach simplifies the proteome while preserving most of the vital information necessary for analysis. Selection of peptides with specific amino acids (cysteine, histidine and methionine) or N- or C-terminal peptides is an accepted procedure for proteome simplification when general analysis is desired. While selection of enzymatically and non-enzymatically modified proteins and peptides is used when post-translational modifications are targeted. Protein interaction with small molecules as well as other proteins also has been studied using chromatographic selection methods.

Chromatography↗

PubMed2005

Identification of novel lysosomal matrix proteins by proteome analysis.

The lysosomal matrix is estimated to contain about 50 different proteins. Most of the matrix proteins are acid hydrolases that depend on mannose 6-phosphate receptors (MPR) for targeting to lysosomes. Here, we describe a comprehensive proteome analysis of MPR-binding proteins from mouse. Mouse embryonic fibroblasts defective in both MPR (MPR 46-/- and MPR 300-/-) are known to secrete the lysosomal matrix proteins. Secretions of these cells were affinity purified using an affinity matrix derivatized with MPR46 and MPR300. In the protein fraction bound to the affinity matrix and eluted with mannose 6-phosphate, 34 known lysosomal matrix proteins, 4 candidate proteins of the lysosomal matrix and 4 non-lysosomal contaminants were identified by mass spectrometry after separation by two-dimensional gel electrophoresis or by multidimensional protein identification technology. For 3 of the candidate proteins, mammalian ependymin-related protein-2 (MERP-2), retinoid-inducible serine carboxypeptidase (RISC) and the hypothetical 66.3-kDa protein we could verify that C-terminally tagged forms bound in an M6P-dependent manner to an MPR-affinity matrix and were internalized via MPR-mediated endocytosis. Hence these 3 proteins are likely to represent hitherto unrecognized lysosomal matrix proteins.

Animals↗

PubMed2005

Proteomic analysis of anti-cancer effects by paclitaxel treatment in cervical cancer cells.

OBJECTIVES: Paclitaxel (Taxol), a potent drug of natural origin isolated from the bark of the Pacific yew, is widely used in the treatment of ovarian, lung and breast cancer. At present, there is little information regarding the anti-cancer mechanism of paclitaxel against cervical carcinoma cells. We thus tried to show the anti-cancer effect of paclitaxel on cervical carcinoma cell line carrying HPV by using a proteomic analysis and to investigate the mechanism of actions. METHODS: We treated paclitaxel to cervical carcinoma cells and then carried out MTT assay to observe the anti-proliferate activity. Using proteomics analysis including two-dimensional (2-DE) gel electrophoresis and MALDI-TOF-MS, we tried to find the anti-proliferate activity-related proteins. Among them, paclitaxel treatment suppressed the expression of the mitotic checkpoint protein BUB3. Functional proteomic analysis by small interfering RNA (siRNA) targeting was tried to illuminate a role of mitotic checkpoint protein BUB3 in cell cycle progression. RESULTS: The cytotoxicity effects of paclitaxel were determined in HPV-16 positive CaSki, HPV-18 positive HeLa and HPV-negative C33A cervical carcinoma cell lines. Using efficient proteomics methods including 2-DE/MALDI-TOF-MS, we identified several cellular proteins that are responsive to paclitaxel treatment in HeLa cells. Paclitaxel treatment elevated mainly apoptosis-related, immune response-related and cell cycle check point-related proteins. On the other hand, paclitaxel treatment diminished growth factor/oncogene-related proteins and transcription regulation-related proteins. Paclitaxel showed anti-proliferate activity through the membrane death receptor (DR)-mediated apoptotic pathway involving activation of caspase-8 with a TRAIL-dependent fashion as well as the mitochondrial-mediated pathway involving down-regulation of bcl-2 by cytochrome c release. Furthermore, we found siRNA-induced BUB3 knock down on cell cycle progression blocked by cell cycle arrest after paclitaxel treatment. CONCLUSIONS: The proteome profiling technique provided a broad-base and effective approach for the identification of protein changes induced by paclitaxel and showed anti-proliferate activity through the membrane death receptor-mediated apoptotic pathway, the mitochondrial-mediated pathway. This study shows the power of proteomic profiling with functional analysis using RNAi technology for the discovery of novel molecular targets and a better understanding of the actions of paclitaxel at the molecular level in cervical carcinoma cells.

Antineoplastic Agents, Phytogenic↗

PubMed2005

Screening for new metabolites from marine microorganisms.

This article gives an overview of current analysis techniques for the screening and the activity analysis of metabolites from marine (micro)organisms. The sequencing of marine genomes and the techniques of functional genomics (including transcriptome, proteome, and metabolome analyses) open up new possibilities for the screening of new metabolites of biotechnological interest. Although the sequencing of microbial marine genomes has been somewhat limited to date, selected genome sequences of marine bacteria and algae have already been published. This report summarizes the application of the techniques of functional genomics, such as transcriptome analysis in combination with high-resolution two-dimensional polyacrylamide gelelectrophoresis and mass spectrometry, for the screening for bioactive compounds of marine microorganisms. Furthermore, the target analysis of antimicrobial compounds by proteome or transcriptome analysis of bacterial model systems is described. Recent high-throughput screening techniques are explained. Finally, new approaches for the screening of metabolites from marine microorganisms are discussed.

Bacteria↗

PubMed2000

Proteomics to display lovastatin-induced protein and pathway regulation in rat liver.

Lovastatin is a lipid lowering agent that acts by inhibiting 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase, a key regulatory enzyme in cholesterol biosynthesis. In this study the pattern of gene network regulation induced in hepatic proteins as a response to lovastatin treatment was analyzed by proteomics. In livers of male F344 rats treated with 1.6 mg/kg/day lovastatin or 150 mg/kg/day lovastatin for seven days, 36 proteins were found to be significantly altered (p<0.001) in relation to treatment. The changed proteins were classified according to their cellular function and participation in biochemical pathways. The following observations were made: (i) inhibition of HMG-CoA reductase provoked a regulatory response in the cholesterol synthesis pathway including the induction of cytosolic HMG-CoA synthase and of isopentenyl-diphosphate delta-isomerase, (ii) manipulation of the lipid metabolism triggered alterations in key enzymes of the carbohydrate metabolism, and (iii) lovastatin treatment was associated with signs of toxicity as reflected by changes in a heterogeneous set of cellular stress proteins involved in functions such as cytoskeletal structure, calcium homeostasis, protease inhibition, cell signaling or apoptosis. These results present new insights into liver gene network regulations induced by lovastatin and illustrate a yet unexplored application of proteomics to discover new targets by analysis of existing drugs and the pathways that they regulate.

Amino Acids↗

PubMed2006

Present status of clinical proteomic analysis for the early detection and determination of therapeutic strategy in lung cancer.

Although human DNA sequences have already been successfully decoded, there is still much we do not understand about the pathogenesis of human diseases. Proteomic analysis is comprehensive analysis of proteins, and there is a high probability that recent advances in this field will enable its application to individualized therapy based on thorough understanding of the pathogenesis of human diseases. Two-dimensional polyacrylamide gel electrophoresis (2-DE) and mass spectrometry (MS) are indispensable tools for proteomic analysis, and these technologies enable discovery of tiny changes of protein expression associated with pathogenesis. In this review we introduce the present status of proteomic analysis for cancer-related proteins, and especially lung cancer-related proteins in the attempt to discover new biomarkers for early detection and determine novel target-molecules for treatment. We believe that proteomic analysis will provide crucial information for diagnosis and treatment.

Adenocarcinoma↗

PubMed2006

The use of mass spectrometry for the proteomic analysis of glycosylation.

Of all protein PTMs, glycosylation is by far the most common, and is a target for proteomic research. Glycosylation plays key roles in controlling various cellular processes and the modifications of the glycan structures in diseases highlight the clinical importance of this PTM. Glycosylation analysis remains a difficult task. MS, in combination with modern separation methodologies, is one of the most powerful and versatile techniques for the structural analysis of glycoconjugates. This review describes methodologies based on MS for detailed characterization of glycoconjugates in complex biological samples at the sensitivity required for proteomic work.

Biomarkers↗

PubMed2005

Optimization of IPG strip equilibration for the basic membrane protein mABC1.

Many proteins with extreme physical properties, including basic and acidic proteins, membrane proteins, and very large proteins, present specific challenges to 2-DE separation. Using a pressure-blotting approach, we demonstrate that a basic integral membrane protein, mitochondrial ATP-binding cassette protein 1 (mABC1), focuses in the IPG strip, but fails to enter into the 2-D SDS-PAGE gel. Through modifying the equilibration conditions between the IPG strip and 2nd dimension, we demonstrate that only by increasing both the volume (from 3 to 6 mL for a 7-cm strip) and SDS concentration (from 2 to 10%) of the equilibration buffer is migration of mABC1 into the 2nd dimension achieved. While 2-DE remains one of the core separation technologies of proteomic analysis, proteins that are extremely basic, hydrophobic, or of large mass present significant challenges to 2-DE separation due to aggregation, oxidation, precipitation, and the physical limitations of the 1-D IPG strip. Since the advent of commercially available IPG strips, numerous groups have experimented with IEF conditions using various detergents alone or in combination, alternative denaturants, and thiol oxidation agents to improve protein focusing. Effective 2-DE separation of membrane proteins has been affected dramatically by these advances in protein solubilization, as well as improvements in isolation of membranes, delipidation, and active in-gel rehydration. Since the development of commercially available basic IPG strips, the most significant advance in the separation of basic proteins has been the introduction of hydroxyethyldisulfides, either alone or in combination with DTT. While hydrophobic proteins were once virtually absent from the 2-D gel, and basic proteins were only visible as dense streaks, now many groups are undertaking large-scale analyses of membranes and basic proteins. Using this base of experimental tools, we embarked on a proteomic analysis of cardiac mitochondrial membranes, hoping to combine the knowledge gained from ongoing targeted protein chemistry and molecular biology studies with a broader-based proteomic analysis. Of particular interest is the inner mitochondrial membrane protein mABC1 (mitochondrial ATP-binding cassette protein 1), which may play a significant role in cardioprotection as part of the mitochondrial ATP-sensitive potassium channels. Therefore, in designing our 2-DE approach, it was crucial to ensure that mABC1 is focused, observable, and quantifiable, despite being an integral membrane protein of pI 9.37.

ATP Binding Cassette Transporter 1↗

PubMed2006

Proteomic analysis of phytopathogenic fungus Botrytis cinerea as a potential tool for identifying pathogenicity factors, therapeutic targets and for basic research.

Botrytis cinerea is a phytopathogenic fungus causing disease in a substantial number of economically important crops. In an attempt to identify putative fungal virulence factors, the two-dimensional gel electrophoresis (2-DE) protein profile from two B. cinerea strains differing in virulence and toxin production were compared. Protein extracts from fungal mycelium obtained by tissue homogenization were analyzed. The mycelial 2-DE protein profile revealed the existence of qualitative and quantitative differences between the analyzed strains. The lack of genomic data from B. cinerea required the use of peptide fragmentation data from MALDI-TOF/TOF and ESI ion trap for protein identification, resulting in the identification of 27 protein spots. A significant number of spots were identified as malate dehydrogenase (MDH) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH). The different expression patterns revealed by some of the identified proteins could be ascribed to differences in virulence between strains. Our results indicate that proteomic analysis are becoming an important tool to be used as a starting point for identifying new pathogenicity factors, therapeutic targets and for basic research on this plant pathogen in the postgenomic era.

Botrytis↗

PubMed2026

Machine learning-assisted plasma PEA proteomics enables differential diagnosis of melancholic depression and bipolar disorder.

Differentiating bipolar disorder (BD) from major depressive disorder (MDD) remains a critical unmet need in psychiatry due to overlapping clinical presentations and the absence of reliable biological markers. In this study, we assessed the capacity of multivariate machine learning models to accurately differentiate BD from MDD with melancholic features using plasma proteomic profiles obtained via Proximity Extension Assay (PEA) technology. A total of 67 participants were included (23 BD, 20 MDD, and 24 HC), and plasma protein expression was assessed using the Olink Target 96 Neurology panel. Differential proteomic analysis revealed distinct disorder-specific expression patterns, identifying 21 differentially expressed proteins in BD versus MDD, 18 in BD versus healthy controls, and 7 in MDD versus healthy controls. Using a stepwise feature reduction strategy, machine learning models were trained on three feature sets comprising all proteins, the top 20 most informative proteins, and the top 5 most beneficial proteins, and evaluated across BD-MDD, BD-HC, and MDD-HC classification tasks using five algorithms. For BD-MDD discrimination, the Random Forest model achieved the highest performance when trained on the top 5 protein set (LXN, HAGH, MATN3, PLXNB1, and CTSC), yielding an AUC of 0.905, with similarly strong performance observed using the top 20 protein set. Feature importance analysis highlighted proteins involved in neurodevelopmental processes, immune regulation, and extracellular matrix organization. Overall, these findings demonstrate that integrating plasma proteomics with machine learning enables robust differentiation between BD and MDD with melancholic features, supporting the development of scalable and biologically informed diagnostic tools for precision psychiatry.

Bipolar disorder↗

PubMed2005

Analysis of the human sperm proteome.

As part of our effort to identify putative protein targets for the development of male contraceptives, we performed an in-depth proteomic analysis of human sperm by liquid chromatography and tandem mass spectrometry. Motile sperm were collected from a single fertile individual and fractionated into detergent-soluble and detergent-insoluble fractions. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis separation of these fractions, followed by manual cutting of the gel, yielded 35 gel sections for each fraction to include proteins across the full range of electrophoretic mobility. Proteomic analysis of these gel sections identified more than 1,760 proteins with high confidence, with 1,350 proteins identified in the soluble fraction, 719 identified in the insoluble fraction, and 309 identified in both fractions. This characterization of the human sperm proteome provides a high-resolution, physiologically relevant index of the proteins that comprise human sperm.

Amino Acid Sequence↗