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PubMed2005

Proteomic analysis of somatic embryogenesis in Medicago truncatula. Explant cultures grown under 6-benzylaminopurine and 1-naphthaleneacetic acid treatments.

The Medicago truncatula line 2HA has a 500-fold greater capacity to regenerate plants in culture by somatic embryogenesis than wild-type Jemalong. We have compared proteomes of tissue cultures from leaf explants of these two lines. Both 2HA and Jemalong explants were grown on media containing the auxin 1-naphthaleneacetic acid and the cytokinin 6-benzylaminopurine. Proteins were extracted from the cultures at different time points (2, 5, and 8 weeks), separated by two-dimensional gel electrophoresis, and detected by silver staining. More than 2,000 proteins could be reproducibly resolved and detected on each gel. Statistical analysis showed that 54 protein spots were significantly (P < 0.05) changed in expression (accumulation) during the 8 weeks of culture, and most of these spots were extracted from colloidal Coomassie-stained two-dimensional gel electrophoresis gels and were subjected to matrix-assisted laser desorption ionization time-of-flight mass spectrometry or liquid chromatography-tandem mass spectrometry analysis. Using a publicly available expressed sequence tag database and the Mascot search engine, we were able to identify 16 differentially expressed proteins. More than 60% of the differentially expressed protein spots had very different patterns of gene expression between 2HA and Jemalong during the 8 weeks of culture.

Adenine↗

PubMed2003

A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection.

With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated data-analytic challenges in proteomics, similar to those created by microarray technologies in genetics, namely, discovery of 'signature' protein profiles specific to each pathologic state (e.g. normal vs. cancer) or differential profiles between experimental conditions (e.g. treated by a drug of interest vs. untreated) from high-dimensional data. We propose a data-analytic strategy for discovering protein biomarkers based on such high-dimensional mass spectrometry data. A real biomarker-discovery project on prostate cancer is taken as a concrete example throughout the paper: the project aims to identify proteins in serum that distinguish cancer, benign hyperplasia, and normal states of prostate using the Surface Enhanced Laser Desorption/Ionization (SELDI) technology, a recently developed mass spectrometry technique. Our data-analytic strategy takes properties of the SELDI mass spectrometer into account: the SELDI output of a specimen contains about 48,000 (x, y) points where x is the protein mass divided by the number of charges introduced by ionization and y is the protein intensity of the corresponding mass per charge value, x, in that specimen. Given high coefficients of variation and other characteristics of protein intensity measures (y values), we reduce the measures of protein intensities to a set of binary variables that indicate peaks in the y-axis direction in the nearest neighborhoods of each mass per charge point in the x-axis direction. We then account for a shifting (measurement error) problem of the x-axis in SELDI output. After this pre-analysis processing of data, we combine the binary predictors to generate classification rules for cancer, benign hyperplasia, and normal states of prostate. Our approach is to apply the boosting algorithm to select binary predictors and construct a summary classifier. We empirically evaluate sensitivity and specificity of the resulting summary classifiers with a test dataset that is independent from the training dataset used to construct the summary classifiers. The proposed method performed nearly perfectly in distinguishing cancer and benign hyperplasia from normal. In the classification of cancer vs. benign hyperplasia, however, an appreciable proportion of the benign specimens were classified incorrectly as cancer. We discuss practical issues associated with our proposed approach to the analysis of SELDI output and its application in cancer biomarker discovery.

Algorithms↗

PubMedDate not supplied

Visual analysis of gel-free proteome data.

We present a visual exploration system supporting protein analysis when using gel-free data acquisition methods. The data to be analyzed is obtained by coupling liquid chromatography (LC) with mass spectrometry (MS). LC-MS data have the properties of being nonequidistantly distributed in the time dimension (measured by LC) and being scattered in the mass-to-charge ratio dimension (measured by MS). We describe a hierarchical data representation and visualization method for large LC-MS data. Based on this visualization, we have developed a tool that supports various data analysis steps. Our visual tool provides a global understanding of the data, intuitive detection and classification of experimental errors, and extensions to LC-MS/MS, LC/LC-MS, and LC/LC-MS/MS data analysis. Due to the presence of randomly occurring rare isotopes within the same protein molecule, several intensity peaks may be detected that all refer to the same peptide. We have developed methods to unite such intensity peaks. This deisotoping step is visually documented by our system, such that misclassification can be detected intuitively. For differential protein expression analysis, we compute and visualize the differences in protein amounts between experiments. In order to compute the differential expression, the experimental data need to be registered. For registration, we perform a nonrigid warping step based on landmarks. The landmarks can be assigned automatically using protein identification methods. We evaluate our methods by comparing protein analysis with and without our interactive visualization-based exploration tool.

Chromatography, Gel↗

PubMed2004

Protein profiling of microdissected prostate tissue links growth differentiation factor 15 to prostate carcinogenesis.

Identification of proteomic alterations associated with early stages in the development of prostate cancer may facilitate understanding of progression of this highly variable disease. Matched normal, high-grade prostatic intraepithelial neoplasia (hPIN) and prostate cancer cells of predominantly Gleason grade 3 were procured by laser capture microdissection from serial sections obtained from snap-frozen samples dissected from 22 radical prostatectomy specimens. From these cells, protein profiles were generated by surface-enhanced laser desorption/ionization-time of flight mass spectrometry. A 24-kDa peak was observed at low or high intensity in profiles of prostate cancer cells in 19 of 27 lesions and at low intensity in 3 of 8 hPIN lesions but was not detectable in matched normal cells. SDS-PAGE analysis of prostate cancer and matched normal epithelium confirmed expression of a prostate cancer-specific 24-kDa protein. Mass spectrometry and protein data-based analysis identified the protein as the dimeric form of mature growth differentiation factor 15 (GDF15). The increased expression of mature GDF15 protein in prostate cancer cells cannot be explained on the basis of up-regulation of GDF15 mRNA because reverse transcription-PCR analysis showed similar amounts of transcript in normal, hPIN, and prostate cancer cells that were obtained by laser capture microdissection in the same set of serial sections from which the protein profiles were obtained. Our findings suggest that early prostate carcinogenesis is associated with expression of mature GDF15 protein.

Adenocarcinoma↗

PubMedDate not supplied

The use of microarrays for studying the pathogenesis of Helicobacter pylori.

At present, the genomes of various microorganisms have been completely sequenced, and many others are in progress. The availability of this level of information and the computational analysis of the described sequences have led to the development of new genomic areas such as: analysis in silico, comparative genomics, functional genomics, transcriptomics, proteomics, and pharmacogenomics. Microarray technology is a powerful tool for analyzing the expression profile of thousands of genes in a global way and can be applied to the study of various biological systems. Using the complete sequences for both the H. pylori and human genome that are available in the data bases, a number of researchers have revealed important information. Some of these data offer a glimpse into the great genetic diversity of H. pylori, the differential genetic expression between the strains that shows the complexity of the response of microorganisms to different conditions of development, and into the association of gene cluster expression with clinical outcome. Other groups have examined the global transcriptional response of gastric epithelial cells to H. pylori. The majority of these studies report an alteration in gene expression related to transcription functions, transduction signals, cell cycle regulation and differentiation, development factors, proliferation/apoptosis balance, expression of membrane proteins, and inflammatory response.

Animals↗

PubMed2002

Application of zwitterionic detergents to the solubilization of integral membrane proteins for two-dimensional gel electrophoresis and mass spectrometry.

Comparative analysis has long been utilized in biological research to interpret protein interactions in both drug naïve versus drug challenged and normal versus diseased tissues. The technology of proteomics today allows researchers to provide insight into old and still open questions related to biological mechanisms while offering the opportunity to discover novel details in cellular lifecycles. Perhaps the most powerful way to execute these differential displays is in the combination of two-dimensional (2-D) gel electrophoresis and mass spectrometry. While these two techniques together are well suited for abundant and soluble proteins found in cells, rare proteins and integral membrane proteins are still problematic. Recently, a series of novel zwitterionic detergents has been reported in the literature that shows a substantial improvement in solubilizing integral membrane proteins. We show that the amidosulfobetaine, 4-octylbenzol amidosulfobetaine, is better than 3-[(3-cholamidopropyl)dimethylamino]-1-propanesulfonate (CHAPS) at solubilizing both an ion channel and a G-protein coupled receptor (GPCR), while another amidosulfobetaine, myristic amidosulfobetaine (ASB-14), was better than CHAPS at solubilizing a GPCR. Neither membrane protein was visible after staining with colloidal Coomassie blue, silver nor Sypro Ruby. However, a comparison against a duplicate immunoblot allowed for the localization and identification of the ion channel from a 2-D gel by liquid chromatography-tandem mass spectrometry.

Amino Acid Sequence↗

PubMed2006

Comparative proteome analyses of maize (Zea mays L.) primary roots prior to lateral root initiation reveal differential protein expression in the lateral root initiation mutant rum1.

The embryonically preformed primary root is the first root type of maize that emerges after germination. In this study the abundant soluble proteins of 2.5-day-old primary roots of wild-type and lateral root mutant rum1 seedlings were compared before the initiation of lateral roots. In CBB-stained 2-D gels, among 350 detected proteins 14 were identified as differentially accumulated (>twofold change; t-test: 95% significance) in wild-type versus rum1 primary roots. These proteins which were identified via ESI MS/MS are encoded by 12 different genes. Functionally, these proteins are involved in lignin biosynthesis, defense, and the citrate cycle. Nine of these genes were further analyzed at the RNA expression level. This study represents the first comparative proteomic analysis of maize primary roots prior to lateral root initiation and will contribute to a better understanding of the molecular basis of root development in cereals.

Blotting, Northern↗

PubMed2002

[Diagnosis and therapy monitoring applying methods of molecular medicine].

New experimental approaches are presented which are implemented in rheumatology research. DNA microarray technology and proteome analysis are two new methods which are applied to gain a global survey over the gene expression at the RNA and protein level under various conditions. Based on these methods of molecular medicine important functional proteins in the pathogenesis of rheumatoid arthritis (RA) as well as clinical relevant genetic polymorphisms shall be identified. New insights are expected which will help in the differentiation of clinical entities and in the search for new therapeutic strategies in the treatment of RA.

Arthritis, Rheumatoid↗

PubMed2006

Proteomic analysis of the effect of Antrodia camphorata extract on human lung cancer A549 cell.

Antrodia camphorata (niu-chang-chih) is a fungus native to Taiwan that is believed to be effective in preventing diseases. This study demonstrates that 0.2-2% v/v ethanol extracts of A. camphorata cultivated by solid-state fermentation (SACE) can effectively impede the proliferation of human non-small cell lung carcinoma A549 cells but not primary human fetal lung fibroblast MRC-5. The results of apoptotic analyses implicate that SACE might trigger the apoptosis in the A549 cells by inducing endoplasmic reticulum stress. Two-dimensional gel maps of non-treated and treated A549 cells were compared using PDQUEST analytical software to discover five statistically significant twofold or above-twofold differentially-expressed protein spots. The five protein spots that were significantly de-regulated were chosen for subsequent identification by high performance liquid chromatography electro-spray tandem mass spectrometry. The five proteins were later identified as human galectin-1, human eukaryotic translation initiation factor 5A, human Rho GDP dissociation inhibitor alpha, human calcium-dependent protease small subunit and human annexin V. All five proteins were confirmed to be down-regulated by Western blotting. The analytical results of this study help to provide insight into the effect of SACE on the gene expression of the tumor cells.

Antineoplastic Agents↗

PubMed2004

Splicing factors are differentially expressed in tumors.

Although alternative splicing of many genes has been found associated with different stages of tumorigenesis and splicing variants have been characterized as tumor markers, it is still not known whether these examples are sporadic or whether there is a broader association between the two phenomena. In this report we evaluated, through a bioinformatics approach, the expression of splicing factors in both normal and tumor tissues. This was possible by integrating data produced by proteomics, serial analysis of gene expression (SAGE) and microarray experiments. We observed a significant shift in the expression of splicing factors in tumors in both SAGE and microarray data, resulting from a large amount of experiments. We discuss that this supports the notion of a broader association between alternative splicing and cell transformation, and that splicing factors may be involved in oncogenic pathways.

Alternative Splicing↗

PubMed2005

Classification of cancer cell lines using an automated two-dimensional liquid mapping method with hierarchical clustering techniques.

A two-dimensional liquid mapping method was used to map the protein expression of eight ovarian serous carcinoma cell lines and three immortalized ovarian surface epithelial cell lines. Maps were produced using pI as the separation parameter in the first dimension and hydrophobicity based upon reversed-phase HPLC separation in the second dimension. The method can be reproducibly used to produce protein expression maps over a pH range from 4.0 to 8.5. A dynamic programming method was used to correct for minor shifts in peaks during the HPLC gradient between sample runs. The resulting corrected maps can then be compared using hierarchical clustering to produce dendrograms indicating the relationship between different cell lines. It was found that several of the ovarian surface epithelial cell lines clustered together, whereas specific groups of serous carcinoma cell lines clustered with each other. Although there is limited information on the current biology of these cell lines, it was shown that the protein expression of certain cell lines is closely related to each other. Other cell lines, including one ovarian clear cell carcinoma cell line, two endometrioid carcinoma cell lines, and three breast epithelial cell lines, were also mapped for comparison to show that their protein profiles cluster differently than the serous samples and to study how they cluster relative to each other. In addition, comparisons can be made between proteins differentially expressed between cell lines that may serve as markers of ovarian serous carcinomas. The automation of the method allows reproducible comparison of many samples, and the use of differential analysis limits the number of proteins that might require further analysis by mass spectrometry techniques.

Adenocarcinoma, Clear Cell↗

PubMed2005

Detection of botulinum neurotoxin A in a spiked milk sample with subtype identification through toxin proteomics.

Botulinum neurotoxin (BoNT) causes the disease botulism, which can be lethal if untreated. Rapid determination of exposure to BoNT is an important public health goal. Previous work in our laboratory focused on the development of Endopep-MS, a mass spectrometry-based endopeptidase method for detecting and differentiating BoNT in buffer. This method can rapidly determine the presence of BoNT in a sample and differentiate the toxin type of BoNT present but does not yield additional information about the subtype. We now describe here the application of Endopep-MS to detect BoNT A in a spiked milk sample. This work also describes subtype identification achieved through mass spectrometric analysis of the protein toxin itself and does not require the presence of DNA from the toxin-producing bacteria. Tryptic digests of A1 and A2 subtypes of BoNT were analyzed by mass spectrometry, and peptides unique to either the A1 or A2 subtype were subjected to tandem mass spectrometry analysis to confirm their identities. Finally, subtype identification through mass spectrometric analysis was performed on BoNT A isolated from spiked milk. In its entirety, this method would allow for analysis of BoNT with toxin type identification in a few hours and subtype identification within 24 h.

Amino Acid Sequence↗

PubMed2004

The glyceraldehyde-3-phosphate dehydrogenase homologue is differentially regulated in phases of Paracoccidioides brasiliensis: molecular and phylogenetic analysis.

Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) plays important roles in various cellular processes. Here we report the sequence and analysis of a novel developmentally regulated gene and cDNA (Pbgadph), encoding a GAPDH homologue (PbGAPDH), of the pathogenic dimorphic fungus Paracoccidioides brasiliensis. We have analyzed the protein, the cDNA and genomic sequences to provide insights into the structure, function, and potential regulation of PbGAPDH. That Pbgapdh encodes PbGAPDH was demonstrated by micro-sequencing of the native protein homologue isolated from the fungus proteome. The deduced amino acid sequence of Pbgapdh showed identity to those of from other species (88-76%). Phylogenetic analysis indicated that GAPDH could be useful for the determination of evolutionary relationships. Expression of the Pbgapdh gene and the cognate protein were developmentally regulated in phases of P. brasiliensis, with a higher expression in the yeast parasitic phase and was induced during the transition from mycelium to yeast and decreased during the reverse process, transition from yeast to mycelium.

Amino Acid Sequence↗

PubMed2025

Proteomic signatures and predictive modeling of cadmium-associated anxiety in middle-aged and elderly populations: an environmental exposure association study.

BACKGROUND: Emerging evidence implicates environmental contaminants such as cadmium (Cd) as modifiable risk factors for anxiety. Despite growing recognition of heavy metal toxicity in neuropsychiatric disorders, the molecular mechanisms linking environmental exposure to anxiety pathogenesis remain poorly understood. METHODS: Based on the established cohort of individuals with cognitive impairment in cadmium-contaminated areas, this cross-sectional association study enrolled 50 middle-aged and elderly hospitalized patients from these regions, adhering to the STROBE guidelines. Blood concentrations of cadmium (Cd), lead (Pb), and mercury (Hg) were analyzed in relation to anxiety severity assessed via the Hamilton Anxiety Rating Scale (HAMA). Plasma proteomic profiling was performed using data-independent acquisition (DIA) quantitative technology with an LC-MS/MS platform (timsTOF Pro, Bruker Daltonics), systematically characterizing 2,531 proteins across all samples. Machine learning techniques, specifically XGBoost and LASSO, were employed to identify biomarkers that were subsequently validated through mediation analysis and animal experiments, allowing for the screening of key protein signatures. Finally, clinical variables were integrated to construct a comprehensive model, which was then thoroughly evaluated. RESULTS: Anxious individuals exhibited significantly higher blood Cd levels than controls (β = 0.50, 95% CI: 0.07-0.93, p < 0.01), with anxiety positively correlating with depression (r = 0.62, p = 0.003) and inversely with ApoE3 genotype prevalence. Proteomics identified 120 differentially expressed proteins in anxious patients, enriched in oxidative phosphorylation and neurodegenerative pathways. CCDC126 emerged as a cadmium-associated biomarker, validated in rat models exposed to Cd. Combining CCDC126, blood Cd, Pb, and hypertension, a clinical prediction model achieved robust discrimination (AUC = 0.80, validation cohort). CONCLUSIONS: This first integrative environmental-proteomic study highlights cadmium's synergistic role in anxiety pathophysiology and psychiatric comorbidity. The predictive model offers translatable potential for early risk stratification, while CCDC126 provides mechanistic insights for targeted interventions in populations exposed to environmental pollutants.

Cadmium↗

PubMed2006

Differential effects of two period genes on the physiology and proteomic profiles of mouse anterior tibialis muscles.

The molecular components that generate and maintain circadian rhythms of physiology and behavior in mammals are present both in the brain (suprachiasmatic nucleus; SCN) and in peripheral tissues. Examination of mice with targeted disruptions of either mPer1 or mPer2 has shown that these two genes have key roles in the SCN circadian clock. Here we show that loss of the clock gene mPer2 affects forced locomotor performance in mice without altering muscle contractility. A proteomic analysis revealed that the anterior tibialis muscles of the mPer2 knockout mice had higher levels of glycolytic enzymes such as triose phosphate isomerase and enolase than those of either the wild type or mPer1 knockout mice. In addition, the level of expression of HSP90 in the mPer2 mutant mice was also significantly higher than in wildtype mice. These results suggest that the reduced locomotor endurance of the mPer2 knockout mice reflects a greater dependence on anaerobic metabolism under stress conditions, and that the two canonical clock genes, mPer1 and mPer2, play distinct roles in the physiology of skeletal muscle.

Animals↗

PubMed2006

High-sensitivity blood-based detection of breast cancer by multi photon detection diagnostic proteomics.

We have developed several new methods for blood-based cancer detection by diagnostic proteomics. Ultrasensitive methods of immunoassay using multiphoton-detection (IA/MPD) increase sensitivity by 200- to 1,000-fold (1 femtogram/mL). This has allowed the measurement of cancer biomarkers with very low concentrations in blood that could not be measured for full patient cohorts with conventional immunoassays. Sensitivity and specificity in cancer detection have been found to be potentiated by use of immunoassay panels which include tissue-specific cancer biomarkers as well as cytokines and angiogenic factors. The ultrasensitive immunoassays revealed that patient to patient variations in the concentrations of individual biomarkers in blood can extend over many orders of magnitude (up to six) and that the distributions of biomarker concentrations over patient cohorts are non-Gaussian. New methods of data analysis which correlate abundances of multiple, different biomarkers have been developed to deal with such data sets. Sensitivity and specificity of about 95% have been achieved for blood-based detection of breast cancer in pilot studies on 250 patients and 95 controls. Pilot studies indicate that this methodology may also allow differentiation of malignant breast cancer from benign lesions and can provide similar sensitivity and specificity for other epithelial cancers such as prostate cancer, ovarian cancer and melanoma. The methods developed for selection, application, and evaluation of very high sensitivity biomarker panels are expected to have general relevance for diagnostic proteomics.

Adult↗

PubMed2004

Increased expression and altered location of annexin IV in renal clear cell carcinoma: a possible role in tumour dissemination.

The proteome of renal cell carcinoma and non-neoplastic kidney tissue was analysed from 12 patients by two-dimensional polyacrylamide gel electrophoresis to search for differentially expressed proteins in the tumour. Annexin IV was identified to be up-regulated in tumour cells. These patients and further 11 were characterized by RT-PCR. We found an increased amount of annexin IV mRNA. Immunohistochemical analysis revealed an altered localization of annexin IV in tumour cells. Additionally we demonstrate that over-expressed annexin IV promotes cell migration in a carcinoma model system. From these results above it seems possible that annexin IV plays an important role in the morphological diversification and dissemination of the clear cell renal cell carcinoma.

Adenocarcinoma, Clear Cell↗

PubMed2002

Toxoplasma gondii eukaryotic translation initiation factor 4A associated with tachyzoite virulence is down-regulated in the bradyzoite stage.

Comparative proteome analysis of mouse-virulent and attenuated Toxoplasma gondii strain revealed that steady-state synthesis of an unknown 53 kDa protein is markedly reduced in attenuated parasites. The results from protein microsequencing allowed isolation of a single-copy gene encoding a T. gondii homologue of eukaryotic translation initiation factor (eIF)4A. The deduced primary structure exhibits all sequence motifs typical of eIF4A. Differential expression of eIF4A between virulent and attenuated parasites was reconfirmed by immunoblot. Consistent with an involvement in the ribosomal preinitiation complex, the protein was localised in the tachyzoite extranuclear cytosol, being loosely associated with microsomal particles. Immunofluorescence detection of eIF4A in T. gondii stages of the intermediate host indicated that the protein is tachyzoite-specific. Stage-dependent expression is regulated at the transcriptional level as determined by reverse transcription-polymerase chain reaction and immunoblot. The down-regulation of eIF4A in attenuated T. gondii parasites and in the bradyzoite stage implies a role in tuning of the homeostasis of protein biosynthesis.

Amino Acid Sequence↗