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PubMed2007

Protein expression profiles in the epidermis of cyclooxygenase-2 transgenic mice by 2-dimensional gel electrophoresis and mass spectrometry.

Exposure of murine skin to tumor-promoting agents such as 12-O-tetradecanoyl-phorbol-13-acetate (TPA) causes up-regulation of cyclooxygenase-2 (COX-2) and increased prostaglandin (PG) synthesis. Pharmacological inhibition of COX-2 significantly reduces skin tumor development. However, we previously demonstrated that K14.COX-2 transgenic (TG) mice that overexpressed COX-2 in the epidermis were unexpectedly resistant to tumor development under the classical 7,12-dimethylbenz[a]anthracene-TPA protocol. In the present study, we employed a proteomic approach of 2-dimensional gel electrophoresis (2-DE) and mass spectrometry to profile differentially expressed proteins in the epidermis of K14.COX-2 TG and wild-type control mice. Various 2-DE approaches were used to identify the maximum number of differentially expressed proteins: 20 for untreated samples, 3 for acetone-treated samples, and 22 for TPA-treated samples. These proteins include 14-3-3 sigma, numerous actin fragments, actin filament related proteins cofilin-1 and destrin, galectin-3, galectin-7, prohibitin, S100A6, S100A9, and many others. The differential expression of galectin-3, galectin-7, S100A9 was validated by Western blot analysis and/or immunohistochemical analysis. The current data suggest that some of the differentially expressed proteins might increase apoptosis and cell cycle arrest, which, in turn, may provide insight into the role of COX-2 in skin tumorigenesis.

Amino Acid Sequence↗
PubMed2006

Comparative proteome analysis of laboratory grown Brucella abortus 2308 and Brucella melitensis 16M.

Brucella species are pathogenic agents that cause brucellosis, a debilitating zoonotic disease that affects a large variety of domesticated animals and humans. Brucella melitensis and Brucella abortus are considered major health threats because of their highly infectious nature and worldwide occurrence. The availability of the annotated genomes for these two species has allowed a comparative proteomics study of laboratory grown B. melitensis 16M and B. abortus 2308 by two-dimensional (2-D) gel electrophoresis and peptide mass fingerprinting. Computer-assisted analysis of the different 2-D gel images of strains 16M and 2308 revealed significant quantitative and qualitative differences in their protein expression patterns. Proteins involved in membrane transport, particularly the high affinity amino acids binding proteins, and those involved in Sec-dependent secretion systems related to type IV and type V secretion systems, were differentially expressed. Differential expression of these proteins may be responsible for conferring specific host preference in the two strains 2308 and 16M.

Animals↗
PubMed2003

A subset of membrane-associated proteins is ubiquitinated in response to mutations in the endoplasmic reticulum degradation machinery.

Ubiquitination of membrane-associated proteins can direct their proteasome-mediated degradation or activation at the endoplasmic reticulum (ER), as well as their endocytosis and intracellular sorting. However, the full spectrum of ubiquitinated membrane proteins has not been determined. Here we combined proteomic analysis with yeast genetics to identify 211 ubiquitinated membrane-associated proteins in Saccharomyces cerevisiae and map >30 precise sites of ubiquitination. Major classes of identified ubiquitinated proteins include ER-resident membrane proteins, plasma membrane-localized permeases, receptors, and enzymes, and surprisingly, components of the actin cytoskeleton. By determining the differential abundance of ubiquitinated proteins in yeast mutated for NPL4 and UBC7, which are major components of ER-associated degradation (ERAD), we furthermore were able to classify 83 of these identified ubiquitinated membrane proteins as potential endogenous substrates of the ERAD pathway. These substrates are highly enriched for proteins that localize to or transit through the ER. Interestingly, we also identified novel membrane-bound transcription factors that may be subject to ubiquitin/proteasome-mediated cleavage and activation at the ER membrane.

Endoplasmic Reticulum↗
PubMed2007

Diagnosis of gastric cancer using decision tree classification of mass spectral data.

Although gastric cancer is the second leading cause of cancer death worldwide, specific and sensitive biomarkers that can be used for its diagnosis are still unavailable. Attempting to improve on current approaches to the serological diagnosis of gastric cancer, we subjected serum samples from 245 individuals (including 127 gastric cancer patients, 100 age- and sex-matched healthy individuals, nine benign gastric lesion patients and nine colorectal cancer patients) for analysis by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry. Peaks were detected with Ciphergen SELDI software version 3.1.1 and analyzed with Biomarker Patterns' software 5.0. We developed a classifier for separating the gastric cancer groups from the healthy groups. Three protein masses with 1468, 3935 and 7560 m/z were selected as a potential 'fingerprint' for the detection of gastric cancer. It was able to distinguish the gastric cancer patients from the health volunteers with a sensitivity of 95.6% and a specificity of 92.0% in the training set. In the blinding set, it was capable of differentiating the gastric cancer samples from the others with a specificity of 88.0%, a sensitivity of 85.3%, and an accuracy of 86.4%. These values were all higher than those achieved in a parallel analysis by measuring serum carcinoembryonic antigen (CEA) and carbohydrate antigen (CA)19-9 together. Therefore, the decision tree analysis of serum proteomic patterns has the potential to be used in gastric cancer diagnosis.

Adolescent↗
PubMed2025

Pharmacoproteomics in the development of personalised medicine in Age-related Macular Degeneration (PHARPRO-AMD) study protocol.

INTRODUCTION: Age-related macular degeneration (AMD) is the leading cause of irreversible vision loss among people over 55 years of age globally, being neovascular AMD (nAMD) its most aggressive form. Its treatment consists of the use of drugs that block vascular endothelial growth factor (anti-VEGF). Proteomics may allow the identification of differentially expressed proteins between responders and non-responders to each anti-VEGF drug. Thus, the objective of Pharmacoproteomics in the development of personalised medicine in Age-related Macular Degeneration (PHARPRO-AMD) is to find new proteomic biomarkers, predictive of response to antiangiogenic treatment in patients with nAMD. METHODS AND ANALYSIS: PHARPRO-AMD is a nationwide, multicentre, prospective, observational study. Treatment-naïve patients with nAMD starting anti-VEGF therapy will be enrolled and followed up for 2 years. During this period, clinical variables will be gathered to classify treatment response. In addition, blood, tear and vitreous and aqueous humour samples will be collected and will undergo a ZenoSWATH proteomic analysis. Relevant biomarkers identified and response classification will be used to perform a multivariate logistic regression and construct receiver operating characteristic curves. RESULTS: The study is expected to identify a panel of proteomic biomarkers predictive of anti-VEGF treatment response. Integrating data from invasive and non-invasive biological samples may enhance clinical applicability. Once validated, these biomarkers could support the design of future clinical trials on biomarker-guided therapies, helping to optimise treatment regimens and improve visual outcomes. CONCLUSIONS: The PHARPRO-AMD study aims to provide proof-of-concept for biomarker-guided anti-VEGF therapy in nAMD, potentially improving vision outcomes. A notable limitation is the exclusion of patients with visual acuity above 73 Early Treatment of Diabetic Retinopathy Study letters, a criterion chosen to reduce potential ceiling effects and improve response assessment accuracy. ETHICS AND DISSEMINATION: Approved by the Galician Network of Ethics Committees, with nationwide validity. Anonymised data will be deposited in open-access repositories and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: Spanish Clinical Studies Registry (REec) (0033-2024-OBS).

Humans↗
PubMedDate not supplied

Comparison of normal and breast cancer cell lines using proteome, genome, and interactome data.

Normal and cancer cell line proteomes were profiled using high throughput mass spectrometry techniques. Application of protein-level and peptide-level sample fractionation combined with LC-MS/MS analysis enabled identification of 2235 unmodified proteins representing a broad range of functional and compartmental classes. An iterative multistep search strategy was used to identify post-translational modifications, revealing several proteins that are preferentially modified in cancer cells. Information regarding both unmodified and modified protein forms was combined with publicly available gene expression and protein-protein interaction data. The resulting integrated dataset revealed several functionally related proteins that are differentially regulated between normal and cancer cell lines.

Amino Acid Sequence↗
PubMed2004

Proteomic profiling in microdissected hepatocellular carcinoma tissue using ProteinChip technology.

At present, the molecular mechanisms of hepatocellular carcinogenesis are not well understood. It is known, however, that cancer development and progression are accompanied by profound changes at the cellular and subcellular level, involving RNA/DNA and protein structure and function. Therefore, high-throughput, proteomic techniques targeting these biological molecules may provide novel insights into HCC genesis and prognosis. We characterized tissue protein profiles from 10 HCC patients using ProteinChip technology (SELDI) which is able to detect minute amounts of proteins and moreover to analyze complex protein pattern. Therefore, after histopathological examination, proteins from kryostat sections of non-tumorous hepatic tissue as well as from central and peripheral tumor areas were isolated from complete histological sections or from selected and microdissected tissue areas. Analysis on the SAX and WCX ProteinChip Arrays revealed 14-26, and 25-29 differentially expressed peaks respectively, which characterized non-tumorous and tumor tissue (p< or =0.05). One feature which allows differentiation between central tumor and peripheral tumor regions could only be detected in microdissected tissue. Using ProteinChip technology in combination with tissue microdissection it is possible to investigate complex changes at the protein level in hepatocellular cancer associated with tumor development and progression.

Biomarkers, Tumor↗
PubMed2005

[Proteomic analysis of prostate cancer using surface enhanced laser desorption/ionization mass spectrometry].

OBJECTIVE: To identify the serum biomarkers of prostate cancer by using protein chip and bioinformatics. METHODS: Eighty three prostate cancer (PCA) patients and ninety five healthy people from mass screen in Changchun were detected by surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS). The data of spectra were analyzed by bioinformatics tools-Biomarker Wizard and Biomarker Pattern. RESULTS: Compared with the spectra of healthy people, there were 18 potential markers detected in the spectra of the PCA patients, the protein expression was high in 4 of which and low in the 10 of which. The softwares Biomarkerwizard and Biomarker Pattern automatically, under given conditions, selected 8 biomarker proteins to be used to establish a five layer decision tree differentiate to diagnose PCA and differentiate PCA from healthy people with a specificity of 92.632% and a sensitivity of 96.386%. CONCLUSION: New serum biomarkers of PCA have been identified, and this SELDI mass spectrometry coupled with decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCA.

Aged↗
PubMed2003

Proteomics of Chlamydomonas reinhardtii light-harvesting proteins.

With the recent development of techniques for analyzing transmembrane thylakoid proteins by two-dimensional gel electrophoresis, systematic approaches for proteomic analyses of membrane proteins became feasible. In this study, we established detailed two-dimensional protein maps of Chlamydomonas reinhardtii light-harvesting proteins (Lhca and Lhcb) by extensive tandem mass spectrometric analysis. We predicted eight distinct Lhcb proteins. Although the major Lhcb proteins were highly similar, we identified peptides which were unique for specific lhcbm gene products. Interestingly, lhcbm6 gene products were resolved as multiple spots with different masses and isoelectric points. Gene tagging experiments confirmed the presence of differentially N-terminally processed Lhcbm6 proteins. The mass spectrometric data also revealed differentially N-terminally processed forms of Lhcbm3 and phosphorylation of a threonine residue in the N terminus. The N-terminal processing of Lhcbm3 leads to the removal of the phosphorylation site, indicating a potential novel regulatory mechanism. At least nine different lhca-related gene products were predicted by comparison of the mass spectrometric data against Chlamydomonas expressed sequence tag and genomic databases, demonstrating the extensive variability of the C. reinhardtii Lhca antenna system. Out of these nine, three were identified for the first time at the protein level. This proteomic study demonstrates the complexity of the light-harvesting proteins at the protein level in C. reinhardtii and will be an important basis of future functional studies addressing this diversity.

Amino Acid Sequence↗
PubMed2004

Alterations in the renal elastin-elastase system in type 1 diabetic nephropathy identified by proteomic analysis.

Diabetes now accounts for >40% of patients with ESRD. Despite significant progress in understanding diabetic nephropathy, the cellular mechanisms that lead to diabetes-induced renal damage are incompletely defined. For defining changes in protein expression that accompany diabetic nephropathy, the renal proteome of 120-d-old OVE26 transgenic mice with hypoinsulinemia, hyperglycemia, hyperlipidemia, and proteinuria were compared with those of background FVB nondiabetic mice (n = 5). Proteins derived from whole-kidney lysate were separated by two-dimensional PAGE and identified by matrix-assisted laser desorption ionization-time-of-flight (MALDI-TOF) mass spectrometry. Forty-one proteins from 300 visualized protein spots were differentially expressed in diabetic kidneys. Among these altered proteins, expression of monocyte/neutrophil elastase inhibitor was increased, whereas elastase IIIB was decreased, leading to the hypothesis that elastin expression would be increased in diabetic kidneys. Renal immunohistochemistry for elastin of 325-d-old FVB and OVE26 mice demonstrated marked accumulation of elastin in the macula densa, collecting ducts, and pelvicalyceal epithelia of diabetic kidneys. Elastin immunohistochemistry of human renal biopsies from patients with type 1 diabetes (n = 3) showed increased elastin expression in renal tubular cells and the interstitium but not glomeruli. These results suggest that coordinated changes in elastase inhibitor and elastase expression result in increased tubulointerstitial deposition of elastin in diabetic nephropathy. The identification of these coordinated changes in protein expression in diabetic nephropathy indicates the potential value of proteomic analysis in defining pathophysiology.

Animals↗
PubMed2006

Investigating the dynamic nature of the interactions between nuclear proteins and histones upon DNA damage using an immobilized peptide chemical proteomics approach.

As a result of the complexity and dynamic range of the cellular proteome, including mutual interactions and interactions with other molecules, focused proteomic approaches are important to study subsets of physiologically important proteins. In one such approach, a small molecule or part of a protein is immobilized on a solid phase and used as bait to fish out interacting proteins from complex mixtures such as cellular lysates. Here, such a chemical proteomics experiment is presented to explore the range of proteins that interact with the N-terminal tail of core histones. Therefore, a core histone consensus N-terminal tail (NTT) peptide was synthesized and immobilized on agarose. Interactions between histone NTTs and proteins are extremely important as they regulate chromatin structure, which is important in many DNA-related processes, like transcription and DNA repair. Induction of DNA damage, like DNA double strand breaks, is known to trigger chromatin remodeling events through interactions between histone NTTs and so-called histone chaperones. Therefore, we set out to investigate specific changes in interactions of nuclear proteins before and shortly after DNA double strand break induction. Over 700 proteins were found to bind specifically to the NTT peptide, which makes our study the most comprehensive proteomic survey of the broad spectrum of nuclear proteins interacting with the NTT of core histones in nucleosomes. Apart from a few exceptions, the abundance of the majority of NTT binding proteins was found to be unchanged following DNA damage. However, an in-depth analysis of protein phosphorylation (we detected more than 90 unique sites in about 60 proteins) revealed that the phosphorylation status of several proteins involved in chromatin remodeling changes upon DNA damage. We observed that in these differentially phosphorylated chaperones are part of closely interacting protein complexes involved in regulatory mechanisms at the crossroads of nucleosome assembly, DNA replication, transcription, and the early onset of DNA damage repair.

Amino Acid Sequence↗
PubMed2006

Proteomic analysis of the anterior cingulate cortex in the major psychiatric disorders: Evidence for disease-associated changes.

Abnormalities of the anterior cingulate cortex have previously been described in schizophrenia, major depressive disorder and bipolar disorder. In this study 2-DE was performed followed by mass spectrometric sequencing to identify disease-specific protein changes within the anterior cingulate cortex in these psychiatric disorders. The 2-DE system comprised IPGs 4-7 and 6-9 in the first, IEF dimension and SDS-PAGE in the second dimension. Resultant protein spots were compared between control and disease groups. Statistical analysis indicated that 35 spots were differentially expressed in one or more groups. Proteins comprising 26 of these spots were identified by mass spectroscopy. These represented 19 distinct proteins; aconitate hydratase, malate dehydrogenase, fructose bisphosphate aldolase A, ATP synthase, succinyl CoA ketoacid transferase, carbonic anhydrase, alpha- and beta-tubulin, dihydropyrimidinase-related protein-1 and -2, neuronal protein 25, trypsin precursor, glutamate dehydrogenase, glutamine synthetase, sorcin, vacuolar ATPase, creatine kinase, albumin and guanine nucleotide binding protein beta subunit. All but three of these proteins have previously been associated with the major psychiatric disorders. These findings provide support for the view that cytoskeletal and mitochondrial dysfunction are important components of the neuropathology of the major psychiatric disorders.

Adult↗
PubMed2006

Reconstruction of central carbon metabolism in Sulfolobus solfataricus using a two-dimensional gel electrophoresis map, stable isotope labelling and DNA microarray analysis.

In the last decade, an increasing number of sequenced archaeal genomes have become available, opening up the possibility for functional genomic analyses. Here, we reconstructed the central carbon metabolism in the hyperthermophilic crenarchaeon Sulfolobus solfataricus (glycolysis, gluconeogenesis and tricarboxylic acid cycle) on the basis of genomic, proteomic, transcriptomic and biochemical data. A 2-DE reference map of S. solfataricus grown on glucose, consisting of 325 unique ORFs in 255 protein spots, was created to facilitate this study. The map was then used for a differential expression study based on (15)N metabolic labelling (yeast extract + tryptone-grown cells (YT) vs. glucose-grown cells (G)). In addition, the expression ratio of the genes involved in carbon metabolism was studied using DNA microarrays. Surprisingly, only 3 and 14% of the genes and proteins, respectively, involved in central carbon metabolism showed a greater than two-fold change in expression level. All results are discussed in the light of the current understanding of central carbon metabolism in S. solfataricus and will help to obtain a system-wide understanding of this organism.

Archaeal Proteins↗
PubMed2003

A comparison of drug-treated and untreated HCT-116 human colon adenocarcinoma cells using a 2-D liquid separation mapping method based upon chromatofocusing PI fractionation.

A multidimensional chromatographic 2-D liquid-phase separation method has been developed for differential display of proteins from cell lysates and applied to a comparison of protein expression between Peninsularinone-treated and untreated HCT-116 human colon adenocarcinoma cells. The method involves fractionation according to pI using chromatofocusing with analytical columns in the first dimension followed by separation of the proteins in each pI fraction using nonporous reversed-phase HPLC. A 2-D map of the protein content of each cell line based upon pI versus hydrophobicity as detected by UV absorption was generated and a differential display map indicating the presence of up- or downregulated proteins displayed using ProteoVue and DeltaVue software. Using this method, > 1000 protein bands could be detected in 0.2 pH fractions over a pH range of 4-7. In addition, the liquid eluent from the separation was directed on-line into an electrospray TOF-MS to obtain an accurate molecular weight of the intact proteins. An accurate molecular weight together with the peptide map was used to obtain protein identification using database searching. The method has been shown to have high reproducibility for quantitative differential display analysis of interlysate comparisons, generation of accurate protein identifications, and ease of data interpretation. It has been used herein to identify proteins that change as a function of drug treatment. The relative simplicity of the current procedure and the potential for full automation will make this technique an essential tool in future proteomic studies.

Adenocarcinoma↗
PubMed2003

Selecting differentially expressed genes from microarray experiments.

High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that could distinguish different tissue types. Of particular interest here is distinguishing between cancerous and normal organ tissues. We consider statistical methods to rank genes (or proteins) in regards to differential expression between tissues. Various statistical measures are considered, and we argue that two measures related to the Receiver Operating Characteristic Curve are particularly suitable for this purpose. We also propose that sampling variability in the gene rankings be quantified, and suggest using the "selection probability function," the probability distribution of rankings for each gene. This is estimated via the bootstrap. A real dataset, derived from gene expression arrays of 23 normal and 30 ovarian cancer tissues, is analyzed. Simulation studies are also used to assess the relative performance of different statistical gene ranking measures and our quantification of sampling variability. Our approach leads naturally to a procedure for sample-size calculations, appropriate for exploratory studies that seek to identify differentially expressed genes.

Biomarkers, Tumor↗
PubMed2006

Identification of protein biomarkers in Dupuytren's contracture using surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS).

BACKGROUND: To study the protein expression profiles associated with Dupuytren's contracture (DC) to identify potential disease protein biomarkers (PBM) using a proteomic technology--Surface Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS). METHODS: Normal and disease palmar fascia from DC patients were analyzed using Ciphergen's SELDI-TOF-MS Protein Biological System II (PBSII) ProteinChip reader. Analysis of the resulting SELDI-TOF spectra was carried out using the peak cluster analysis program (BioMarker Wizard, Ciphergen). Common peak clusters were then filtered using a bootstrap algorithm called SAM (Significant Analysis of Microarrays) for increased fidelity in our analysis. RESULTS: Several differentially expressed low molecular weight (<20 kDa) tissue proteins were identified. Spectra generated using both ZipTipC18 aided Au array and WCX2 array based SELDI-TOF-MS were reproducible, with an average peak cluster mass standard deviation for both methods of <1.74 x10(-4). Initial peak cluster analysis of the SELDI spectra identified both up-(14) and down-(3)regulated proteins associated with DC. Further analysis of the peak cluster data using the bootstrap algorithm SAM identified three disease-associated protein features (4600.8 Da, 10254.5 Da, and 11405.1 Da) that were elevated (5.45, 11.7, and 4.28 fold, respectively, with a 0% median false discovery rate). CONCLUSION: SELDI-TOF-MS identified three potential low molecular weight tissue protein markers (p4.6DC, p1ODC, p11.7DC) for DC. The ability of SELDI-TOF-MS to resolve low molecular weight proteins suggests that the method may provide a means of deciphering the biomarker-rich low molecular weight region of the human proteome. Application of such novel technology may help clinicians to focus on specific molecular abnormalities in diseases with no known molecular pathogenesis, and uncover therapeutic and/or diagnostic targets.

Algorithms↗
PubMed2005

Proteomics analysis of stage-specific proteins expressed in human squamous cell lung carcinoma tissues.

There is a growing interest in applying proteomics to gain insight into the mechanism of tumorigenesis, develop new markers for molecular diagnosis and accelerate drug development. In an attempt to find new stage-specific tumor markers, patients suffering from squamous cell lung carcinomas (SQCLC) at different pathologic stages have been selected to achieve differential protein expression patterns. Two-dimensional polyacrylamide gel electrophoresis (2-DE) profiles of human SQCLC and normal tissue were compared. Differential protein spots were identified with peptide mass fingerprinting (PMF) based on matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) and database searching. A total of 63 unique proteins were identified in this experiment. Among them, peroxiredoxin 1 (PRDX1) expression level was significantly increased from stage I to III, and had a slight decrease at stage IV; whereas, a lasting decrease in the expression level of tropomyosins 3 (TPM3), was observed with the malignant progression from I stage to IV stage. These results provide further insight into malignant transformation in SQCLC and proteins may serve as new biomarkers for early diagnosis.

Biomarkers, Tumor↗