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A differential proteomic approach to identify proteins associated with thyroid cell transformation.

Tumour suppressor p53 is a transcription factor essential for DNA damage checkpoints during cellular response to stress. Mutations in the p53 gene are the most common genetic alterations found in human tumours; most pathogenetic modifications are missense mutations that abolish the p53 DNA-binding function. In the same cell type, distinct p53 missense mutations may determine different phenotypes. The PC Cl3 cell line retains several markers of thyroid differentiation in vitro. Introduction of the V143A mutant p53 allele, which abolishes the p53 DNA-binding function, leads to loss of differentiation markers as well as TSH dependency for growth. Conversely, PC Cl3 cells transfected with the S392A mutant p53 allele, presenting the mutation located outside the DNA-binding domain, show only loss of TSH dependency for growth. To identify molecular differences existing between PC Cl3 cell lines transformed by the V143A and the S392A mutant alleles, a differential proteomic approach was used. Two-dimensional gel electrophoresis analyses indicated that expression of a significant portion of protein species was modified by both p53 mutants. In fact, compared with wild-type PC Cl3 cells, modification of expression in V143A mutant cells occurred in 23.6% of the entire protein species. Conversely, modification of S392A mutant cells affected 14.0% of total proteins. Among these components, 8.3% were common to both mutants. Several of these proteins were identified by mass spectrometry procedures; some proteins, such as HSP90 and T-complex proteins, are already known to be related to p53 function.

Calreticulin↗

Differential proteomic analysis of human hepatocellular carcinoma cell line metastasis-associated proteins.

PURPOSE: The comparative study of differentially expression of protein profiles of hepatocellular carcinoma cell lines with various metastasic potential and screening key molecules related to hepatocellular carcinoma metastasis and recurrence. METHODS: Using two-dimensional electrophoresis and liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS), we analyzed differentially displayed proteomics of human hepatocellular carcinoma cell lines Hep3B, MHCC97L, MHCC97H with different metastasic potential. RESULTS: Approximate 1,000 protein spots were detected on silver-stained gel by ImageMaster (977+/-113 spots in Hep3B, 1092+/-40 in MHCC97L, and 889+/-14 in MHCC97H). Fifty distinct different protein spots were analyzed with online LC-ESI-MS/MS. Only 26 protein spots had a positive result, including annexin1, S100A4, and so on. In comparison with nonmetastasis Hep3B cell lines, there were 16 proteins overexpressed in MHCC97H and MHCC97L, 10 proteins underexpressed in MHCC97H and MHCC97L. Applying cell immunohistochemistry and RT-PCR, we further validated two interesting and different proteins, annexin1 and S100A4. CONCLUSION: The protein profile of metastatic hepatocellular carcinoma cell lines displayed obvious differences compared with non-metastatic liver cancer cell lines. The results imply that various different proteins may lead to HCC metastasis together.

Carcinoma, Hepatocellular↗

Differential Proteomic Profiling of Responders and Non-responders to Direct-Acting Antivirals Treatment in Chronic Hepatitis C Virus Infection.

Hepatitis C Virus (HCV), particularly genotype 3 (GT-3), is highly prevalent in India and is associated with faster progression to cirrhosis, hepatocellular carcinoma, and higher treatment failure rates. Although Direct-Acting Antivirals (DAAs) have revolutionized HCV therapy, 5-10% of patients fail to achieve sustained virological response (SVR). This proteomic study aimed to identify changes in the proteomic profile before and after treatment of both responders and non-responders to HCV treatment. Paired plasma samples from HCV GT-3 infected patients were collected before and 12 weeks after initiating DAAs treatment, along with healthy controls. Quantitative proteomic analysis was performed on the paired samples. Differentially expressed proteins (DEPs) were identified and subjected to functional analysis including gene set enrichment analysis (GSEA) and protein-protein interaction (PPI) network analysis. GSEA revealed enrichment in extracellular matrix organization and innate immune pathways. Expression patterns of candidate proteins selected based on fold change and false discovery rate (FDR) criteria were further evaluated in an independent cohort. Western blot confirmed key expression trends of candidate proteins. Proteins linked to extracellular matrix remodeling and angiogenesis showed differential expression patterns. Successful validation of these candidate proteins in large independent cohorts holds potential to predict therapeutic outcomes.

Humans↗

Identification by a differential proteomic approach of heat shock protein 27 as a potential marker of atherosclerosis.

BACKGROUND: We hypothesized that normal and pathological vessel walls display a differential pattern of secreted proteins. We have recently set up the conditions for comparing secretomes from carotid atherosclerotic plaques and control arteries using a proteomic approach to assess whether differentially secreted proteins could represent markers for atherosclerosis. METHODS AND RESULTS: Normal endartery segments and different regions of endarterectomy pieces (noncomplicated/complicated plaques) were incubated in protein-free medium, and the released proteins were analyzed by 2D electrophoresis (2-DE). Among the differently secreted proteins, we have identified heat shock protein-27 (HSP27). Surprisingly, compared with control arteries, HSP27 release was drastically decreased in atherosclerotic plaques and barely detectable in complicated plaque supernatants. HSP27 was expressed primarily by intact vascular cells of normal arteries and carotid plaques (immunohistochemistry). Plasma detection of soluble HSP27 showed that circulating HSP27 levels are significantly decreased in the blood of patients with carotid stenosis relative to healthy subjects (0.19 [0.1 to 1.95] versus 83 [71.8 to 87.8]) ng/mL, P<0.0001). CONCLUSIONS: HSP27 secretion is decreased in complicated atherosclerotic plaques, and sHSP27 plasma levels are decreased in atherosclerotic patients compared with healthy subjects. Plasma sHSP27 levels could be a potential index of atherosclerosis, although further validation is needed in large patient cohorts.

Aged↗

Biomarker discovery from pancreatic cancer secretome using a differential proteomic approach.

Quantitative proteomics can be used as a screening tool for identification of differentially expressed proteins as potential biomarkers for cancers. Candidate biomarkers from such studies can subsequently be tested using other techniques for use in early detection of cancers. Here we demonstrate the use of stable isotope labeling with amino acids in cell culture (SILAC) method to compare the secreted proteins (secretome) from pancreatic cancer-derived cells with that from non-neoplastic pancreatic ductal cells. We identified 145 differentially secreted proteins (>1.5-fold change), several of which were previously reported as either up-regulated (e.g. cathepsin D, macrophage colony stimulation factor, and fibronectin receptor) or down-regulated (e.g. profilin 1 and IGFBP-7) proteins in pancreatic cancer, confirming the validity of our approach. In addition, we identified several proteins that have not been correlated previously with pancreatic cancer including perlecan (HSPG2), CD9 antigen, fibronectin receptor (integrin beta1), and a novel cytokine designated as predicted osteoblast protein (FAM3C). The differential expression of a subset of these novel proteins was validated by Western blot analysis. In addition, overexpression of several proteins not described previously to be elevated in human pancreatic cancer (CD9, perlecan, SDF4, apoE, and fibronectin receptor) was confirmed by immunohistochemical labeling using pancreatic cancer tissue microarrays suggesting that these could be further pursued as potential biomarkers. Lastly the protein expression data from SILAC were compared with mRNA expression data obtained using gene expression microarrays for the two cell lines (Panc1 and human pancreatic duct epithelial), and a correlation coefficient (r) of 0.28 was obtained, confirming previously reported poor associations between RNA and protein expression studies.

Biomarkers, Tumor↗

Differential proteome profiles in E2F2-deficient T lymphocytes.

E2F transcription factors are important regulators of proliferation, differentiation and apoptosis. We have previously shown that E2F2-/- mice develop late-onset autoimmune features, similar to systemic lupus erythematosus. E2F2-deficient T lymphocytes exhibit enhanced T cell receptor (TCR)-stimulated proliferation, which is presumably responsible for causing autoimmunity in E2F2-deficient mice. The comparison of E2F2-/- and wild-type T lymphocyte expression profiles by 2-DE followed by MS identification has revealed a set of deregulated proteins involved in TCR-mediated signaling, cell survival and stress responses. The deregulation of these proteins may account for the hyperproliferative phenotype that characterizes E2F2-/- T cells. Our work shows that proteomic analysis of gene-knockout strains can be a useful methodology to study the functional role of specific genes.

Amino Acid Sequence↗

Recent advancements in differential proteomics based on stable isotope coding.

Stable isotope coding continues to be a powerful approach in comparative proteomics. This review focuses on recent developments in stable isotope coding-based strategies targeted towards protein expression, protein interactions with other biomolecules, post-translational modifications and absolute quantification. The focus of the bulk of proteomics studies is still on protein expression. An important recent application of isotope coding has been in organelle proteomics. The review ends with the conclusion that isotope coding remains an integral part of quantitative proteomics. There is, however, a need to develop coding strategies which can differentiate changes in protein expression and post-translational modification, address issues of protein dynamic range and facilitate real-time detection of proteins which show a statistically significant change after stimulus.

Amino Acids↗

Two-dimensional liquid chromatography protein expression mapping for differential proteomic analysis of normal and O157:H7 Escherichia coli.

A multidimensional chromatographic method has been applied for the differential analysis of proteins from different strains of Escherichia coli bacteria. Proteins are separated in the first dimension using chromatofocusing (CF) and further separated by nonporous reversed-phase high-performance liquid chromatography (NPS-RP-HPLC) in the second dimension. A 2-dimensional (2-D) expression map of bacterial protein content is created for virulent O157:H7 and nonvirulent E. coli strains depicting protein isoelectric point (pI) versus protein hydrophobicity. Differentially expressed proteins are further characterized using electrospray/ionization time-of-flight mass spectrometry (ESI-TOF-MS) for intact protein molecular weight (MW) determination and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) peptide mass fingerprinting for protein identification. Using this method, no significant differential protein expression is exhibited between the two O157:H7 strains examined over a pH range of 4.0-7.0, and O157:H7 strains could be distinguished from nonvirulent E. coli. Several proteins differentially expressed between O157:H7 and nonvirulent E. coli are identified as potential markers for detection and treatment of O157:H7 infection.

Bacterial Proteins↗

[Differential proteomic analysis of human colorectal carcinoma cell lines SW620 and SW480 with different metastatic potentials].

OBJECTIVE: To investigate differential protein expression profiles of human colorectal carcinoma cell lines with different metastatic potentials and screen metastasis-associated proteins for analyzing the relationship between metastasis-associated proteins and the tumorigenesis, progression and metastasis of colorectal carcinomas. METHODS: With two-dimensional electrophoresis (2-DE) and matrix assisted laser desorption/ionization-time of flight-mass spectrometry, we analyzed the differentially expressed proteins in two human colorectal carcinoma cell lines SW620 and SW480 with high and low metastatic potentials, and screened for proteins associated with colorectal carcinoma metastasis. RESULTS: Image analysis software Malenie III demonstrated good match and reproducibility of the 2-DE maps obtained from 3 independent experiments, with 1316+/-62 spots detected for SW620 cells and 1332+/-74 spots for SW480 cells with the average matching rate of 82% and 80%, respectively. The spots distributed in the greatest density at the isoelectric points of 4-7 and relative molecular mass weight of 20,000-70,000. Twenty-five distinctly different protein spots (14 spots for SW620 and 11 for SW480) in-gel digested by TPCK trypsin and 23 peptide mass fingerprint maps were obtained by mass spectrometry. Three highly matched proteins and 14 preliminarily matched proteins or fragments were obtained by analysis with Mascot software in the NCBInr database. Some of these differentially expressed proteins were related to gene transcription, cell cycle, signal transduction, cell apoptosis, etc, with possible involvement of cell differentiation, proliferation, invasion, adhesion, and metastasis of colorectal carcinoma. CONCLUSION: The 2-DE protein expression profile of SW620 cells with high metastatic potential displays obvious difference from that of SW480 cells with low metastatic potential, and a variety of proteins can be involved in the metastasis of colorectal carcinoma.

Cell Line, Tumor↗

The differential proteome profile of stomach cancer: identification of the biomarker candidates.

By comparative proteome analysis we searched for characteristic alterations of human stomach adenocarcinoma tissue and paired surrounding normal tissue. Selected differential protein spots were identified with peptide mass fingerprinting based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) and database searching. We identified protein alterations in 18 stomach cancer tissues compared with normal controls, comprising elevated levels of eight proteins, including 14-3-3 zeta, calcyclin, keratin, apolipoprotein A-1 precursor, proteasome activator complex subunit, nucleoside diphosphate kinase, nicotinamide N-methyltransferase, and pyridoxal kinase. Five proteins (CA11, prohibitin, peroxiredoxin 4, serum amyloid P component, and NADH-ubiquinone oxidoreductase 23 kDa subunit) were decreased. These data are valuable for identification of differentially expressed proteins involved in stomach cancer carcinogenesis, providing biomarker candidates to develop diagnostic and therapeutic tools.

Adult↗

narrowPASEF: A Sample-Aware diaPASEF Method Optimization Strategy Improving Differential Proteomics Performance on Low-Abundance Proteins.

Recent instrumental and computational innovations in mass-spectrometry-based proteomics offer new promise in biomarker discovery, thanks to unprecedented proteome coverage and depth. Data-independent acquisition (DIA) methods are very promising in this context as they allow improved proteome coverage, reduced missing value rates, and enhanced quantification precision. However, DIA methods also suffer from their own challenges, such as increased data complexity, cycle times, and background noise. In this work, we propose a sample-aware diaPASEF method optimization strategy for a timsTOF platform. Thorough method optimizations have first been conducted on standard HeLa lysates. Then, a ground-truth calibrated sample series, consisting of a range of UPS amounts spiked into a complex Arabidopsis background, was used to mimic differential analyses under controlled conditions. These benchmark experiments demonstrate clear benefits of using narrowPASEF for differential protein discovery. Finally, our strategy was applied to real use case biological samples to conduct a differential analysis of purified mouse astrocyte cells across two different conditions. narrowPASEF improved the proteome depth by 13%, considering proteins quantified with a coefficient of variation (CV) of <20%, and led to a 68% (435 vs 729) increase in differentially expressed proteins. These results provide an opportunity for a more precise and comprehensive analysis of the biological functions of biomarkers, offering a more profound understanding of the disease mechanisms. The benefits of our sample-aware narrowPASEF strategy demonstrated the most substantial impact on low-abundance proteins. Overall, these results show promise for more valuable and robust biomarker discoveries in the future.

Proteomics↗

Normalization and analysis of residual variation in two-dimensional gel electrophoresis for quantitative differential proteomics.

Although two-dimensional gel electrophoresis (2-DE) has long been a favorite experimental method to screen proteomes, its reproducibility is seldom analyzed with the assistance of quantitative error models. The lack of models of residual distributions that can be used to assign likelihood to differential expression reflects the difficulty in tackling the combined effect of variability in spot intensity and uncertain recognition of the same spot in different gels. In this report we have analyzed a series of four triplicate two-dimensional gels of chicken embryo heart samples at two distinct development stages to produce such a model of residual distribution. In order to achieve this reference error model, a nonparametric procedure for consistent spot intensity normalization had to be established, and is also reported here. In addition to variability in normalized intensity due to various sources, the residual variation between replicates was observed to be compounded by failure to identify the spot itself (gel alignment). The mixed effect is reflected by variably skewed bimodal density distributions of residuals. The extraction of a global error model that accommodated such distribution was achieved empirically by machine learning, specifically by bootstrapped artificial neural networks. The model described is being used to assign confidence values to observed variations in arbitrary 2-DE gels in order to quantify the degree of over-expression and under-expression of protein spots.

Animals↗

Differential proteome analysis of TRAP-activated platelets: involvement of DOK-2 and phosphorylation of RGS proteins.

We have applied a proteomics approach to analyze signaling cascades in human platelets stimulated by thrombin receptor activating peptide (TRAP). By analyzing basal and TRAP-activated platelets using 2-dimensional gel electrophoresis (2-DE), we detected 62 differentially regulated protein features. From these, 41 could be identified by liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) and were found to derive from 31 different genes, 8 of which had not previously been reported in platelets, including the adapter downstream of tyrosine kinase 2 (Dok-2). Further studies revealed that the change in mobility of Dok-2 was brought about by tyrosine phosphorylation. Dok-2 tyrosine phosphorylation was also found to be involved in collagen receptor, glycoprotein VI (GPVI), signaling as well as in outside-in signaling through the major platelet integrin, alpha IIIb beta 3. These studies also provided the first demonstration of posttranslational modification of 2 regulator of G protein signaling (RGS) proteins, RGS10 and 18. Phosphorylation of RGS18 was mapped to Ser49 by MS/MS analysis. This study provides a new approach for the identification of novel signaling molecules in activated platelets, providing new insights into the mechanisms of platelet activation and building the basis for the development of therapeutic agents for thrombotic diseases.

Adaptor Proteins, Signal Transducing↗

Differential proteomic analysis of Bacillus subtilis nitrate respiration and fermentation in defined medium.

A comparative investigation of protein expression by two-dimensional gel electrophoresis was conducted between Bacillus subtilis cultures grown in defined medium under aerobic, anaerobic nitrate respiration, or fermentation conditions. Defined medium specific for either nitrate respiration or fermentation allowed distinction between proteins induced by each individual growth process. Our differential protein profiling analysis between aerobic and anaerobic conditions showed that anaerobic fermentation induced at least 44 proteins and nitrate respiration induced at least 19 proteins compared to aerobic controls. Certain proteins were specifically induced during nitrate respiration or fermentation, while others were induced by both anaerobic processes. Eleven proteins induced by nitrate respiration and/or fermentation were identified by peptide mass matching using matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Proteins encoded by feuA, hmp, and ytkD were induced by nitrate respiration. Proteins encoded by pyrR, sucD, trpC, and ywjH were induced by fermentation. Proteins encoded by acuB, pdhC, ydjL, and yvyD were induced by nitrate respiration and fermentation. This proteomic analysis has provided a more complete characterization of B. subtilis anaerobic growth and increased our understanding of its metabolic pathways of nitrate respiration and fermentation.

Bacillus subtilis↗

Differential proteomics for studying Drosophila immunity.

Here, we report the identification of proteins associated with the immune response of Drosophila by analyzing the hemolymph profiles after infection. Two-dimensional difference gel electrophoresis was used to study the secretome in the hemolymph of Drosophila larvae. Shortly after induction with lipopolysaccharides, we identified 10 proteins, which we designated "Drosophila instantly released immune proteins". Infection with Micrococcus luteus or Saccharomyces cerevisiae induced 20 and 19 differential protein spots, respectively. Next to known immune proteins, new candidates that require further investigation were identified.

Animals↗

Differential proteomics reveals multiple components in retrogradely transported axoplasm after nerve injury.

Information on axonal damage is conveyed to neuronal cell bodies by a number of signaling modalities, including the post-translational modification of axoplasmic proteins. Retrograde transport of a subset of such proteins is thought to induce or enhance a regenerative response in the cell body. Here we report the use of a differential 2D-PAGE approach to identify injury-correlated retrogradely transported proteins in nerves of the mollusk Lymnaea. A comprehensive series of gels at different pI ranges allowed resolution of approximately 4000 spots by silver staining, and 172 of these were found to differ between lesioned versus control nerves. Mass spectrometric sequencing of 134 differential spots allowed their assignment to over 40 different proteins, some belonging to a vesicular ensemble blocked by the lesion and others comprising an up-regulated ensemble highly enriched in calpain cleavage products of an intermediate filament termed RGP51 (retrograde protein of 51 kDa). Inhibition of RGP51 expression by RNA interference inhibits regenerative outgrowth of adult Lymnaea neurons in culture. These results implicate regulated proteolysis in the formation of retrograde injury signaling complexes after nerve lesion and suggest that this signaling modality utilizes a wide range of protein components.

Amino Acid Sequence↗

Differential proteomic profiling to study the mechanism of cardiac pharmacological preconditioning by resveratrol.

Recent studies demonstrated that resveratrol, a grape-derived polyphenolic phytoalexin, provides pharmacological preconditioning of the heart through a NO-dependent mechanism. To further explore the molecular mechanisms involved in resveratrol-mediated cardioprotection, we monitored the effects of resveratrol treatment after ischemia-reperfusion on the protein profile by implementation of proteomic analysis. Two groups of rats were studied; one group of animals was fed resveratrol for 7 days, while the other group was given vehicle only. The rats were sacrificed for the isolated working heart preparation and for isolation of cytoplasmic fraction from left ventricle homogenates to carry out the proteomic as well as immunoblot at baseline and at the end of 30 min ischemia/2-h perfusion. The results demonstrate significant cardioprotection with resveratrol evidenced by improved ventricular recovery and reduced infarct size and cardiomyocyte apoptosis. The left ventricular cytoplasmic fractions were separated by two-dimensional electrophoresis (2-DE). Differentially regulated proteins were detected with quantitative computer analysis of the Coomassie blue stained 2-DE images and identified by MALDI-TOF (MS) and nanoLC-ESI-Q-TOF mass spectrometry (MS/MS). Five redox-regulated and preconditioning- related proteins were identified that were all upregulated by resveratrol: MAPKK, two different alphaB-crystallin species, HSP 27 and PE binding protein. Another HSP27 species and aldose reductase were downregulated and peroxiredoxin- 2 remained constant. The results of the immunoblot analysis of phosphorylated MAPKK, -HSP27 and -alphaB-crystallin and PE binding protein were consistent with the proteomic findings, but not with peroxiredoxin-2. The proteomic analysis showed also downregulation of some proteins in the mitochondrial respiratory chain and matrix and the myofilament regulating protein MLC kinase-2. The results of the present study demonstrate that proteomic profiling enables the identification of resveratrol induced preconditioning-associated proteins which reflects not only changes in their expression level but also isoforms, post-translational modifications and regulating binding or activating partner proteins.

Animals↗

From transcriptome to proteome: differentially expressed proteins identified in synovial tissue of patients suffering from rheumatoid arthritis and osteoarthritis by an initial screen with a panel of 791 antibodies.

Global scale molecular profiling of diseased tissues is an important first step to unravel candidate target molecules that are involved in the pathogenesis of a disease. We have performed a comparative molecular characterization at the transcriptome (microarray with 12 526 gene specificities) and proteome level (multi-Western blot PowerBlot with 791 antibodies) of synovial tissue from rheumatoid arthritis (RA) compared to osteoarthritis (OA) patients. From the panel of 791 antibodies, 260 (33%) detected their corresponding protein. Out of 58 unambiguous changes at the protein level only 16 coincided at the transcript level (28%). Stat1, p47phox and manganese superoxide dismutase were shown to be reproducibly overexpressed in RA versus OA synovial tissue by Western blots with a panel of 8 RA versus 8 OA samples. Cathepsin D was among the most prominent proteins scored to be underexpressed in RA by the PowerBlot whereas no differences of the respective transcript were observed. The lower abundance of cathepsin D protein in RA compared to OA tissue was also reproduced in other patient samples. Immunohistochemistry assigned the Stat1 protein in RA synovial tissue mainly to macrophages and T lymphocytes and the p47phox protein in particular to macrophages. In conclusion, our approach provided us with new candidate molecules for further analysis of rheumatic diseases and stressed the importance of studies at the protein level.

Antibodies↗