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PubMed2007

Proteomic profiling of murine oocyte maturation.

In an effort to better understand oocyte function, we utilized two-dimensional (2D) electrophoresis and mass spectrometry to identify proteins that are differentially expressed during murine oocyte maturation. Proteins from 500 germinal vesicle (GV) and metaphase II-(MII) arrested oocytes were extracted, resolved on 2D electrophoretic gels, and stained with silver. Analysis of the gels indicated that 12 proteins appeared to be differentially expressed between the GV and MII stage. These proteins were then cored from the 2D gels and identified by mass spectrometry as: transforming acidic coiled-coil protein 3 (TACC3), heat shock protein 105 (HSP105), programmed cell death six-interacting protein (PDCD6IP), stress-inducible phosphoprotein (STI1), importin alpha2, adenylsuccinate synthase (ADDS), nudix, spindlin, lipocalin, lysozyme, translationally controlled tumor protein (TCTP), and nucleoplasmin 2 (NPM2). Interestingly, PDCD6IP, importin alpha2, spindlin, and NPM2 appear slightly larger in mass and more acidic on the MII oocyte gel compared to the GV oocyte gel, suggesting that they may be post-translationally modified during oocyte maturation. Given NPM2 is an oocyte-restricted protein, we chose to further investigate its properties during oocyte maturation and preimplantation development. Real-Time RT-PCR showed that NPM2 mRNA levels rapidly decline at fertilization. Indirect immunofluorescence analysis showed that, with the exception of cortical localization in MII-arrested oocytes, NPM2 is localized to the nucleus of both GV stage oocytes and all stages of preimplantation embryos. We then performed one-dimensional (1D) western blot analysis of mouse oocytes and preimplantation embryos and found that, as implicated by the 2D gel comparison, NPM2 undergoes a phosphatase-sensitive electrophoretic mobility shift during the GV to MII transition. The slower migrating NPM2 form is also present in pronuclear embryos but by the two-cell stage, the majority of NPM2 exists as the faster migrating form, which persists to the blastocyst stage.

Amino Acid Sequence↗
PubMed2003

A proteome study of secreted prostatic factors affecting osteoblastic activity: galectin-1 is involved in differentiation of human bone marrow stromal cells.

Prostate cancer cells metastasize to bone causing a predominantly osteosclerotic response. It has been shown that cells from the human prostate cancer cell line PC3 secrete factors that influence the behavior of osteoblast-like cells. Some of these factors with mitogenic activity have been found to be proteins with molecular weights between 20 and 30 kDa, but the identity of the osteoblastic mitogenic factor or factors produced by prostate cancer cells is still unknown. Therefore, the aim of this study was to characterize the protein profile of conditioned medium (CM) from PC3 cells in the molecular weight range from 5 to 30 kDa using proteome analysis. A protein profile of the CM from PC3 cells was performed by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Thirty protein spots with molecular weights ranging from 5 to 30 kDa were analyzed by matrix assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). One of these spots was identified as galectin-1. We examined whether PC3 CM, recombinant galectin-1 alone, or combined with insulin-like growth factor-I (IGF-I) had any effects on the proliferation or differentiation of human bone marrow stromal (hBMS) cells. Furthermore, we tested whether adhesion of PC3 cells to plastic, laminin, fibronectin, and collagen type I was influenced by lactose, which inhibits galectin-1. Galectin-1 (1000 ng/ml) inhibited the proliferation of hBMS cells up to 70 +/- 12% (treated/control) of control in contrast to PC3 CM, which induced hBMS cell proliferation by 3-fold. This effect was abolished by IGF-I. PC3 CM and galectin-1 in concentrations of 10 and 1000 ng/ml increased the alkaline phosphatase (ALP) activity of hBMS cells up to 175 +/- 27%, 137 +/- 8%, and 131 +/- 11%, respectively, compared with ALP activity of untreated cells, and inhibited the secretion of osteocalcin (OC) up to 81 +/- 3%, 93 +/- 1%, and 58 +/- 2%, respectively, compared with OC secretion of untreated cells. These effects were affected by IGF-I. Lactose inhibited adhesion of PC3 cells to plastic, fibronectin, laminin, and collagen type I up to 58 +/- 4%, 30 +/- 12, 72 +/- 9%, and 86 +/- 4%. In conclusion, galectin-1 modulated osteoblastic proliferation and differentiation. These effects were affected by IGF-I. Thus, galectin-1 is likely be involved in the osteoblastic response, caused by prostate cancer cells metastasizing into bone, by affecting the matrix mineralization.

Bone Marrow Cells↗
PubMed2006

Comparative analysis of whole saliva proteomes for the screening of biomarkers for oral lichen planus.

OBJECTIVE: To screen possible biomarkers in whole saliva from oral lichen planus (OLP) patients by proteomic techniques. METHODS: Two-dimensional electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry were applied to whole saliva of OLP patients and controls, and the differential protein components were analyzed with peptide mass fingerprinting and database searching. RESULTS: A total of 31 protein spots representing 14 proteins with at least two-fold difference in abundance between OLP and controls were identified. Among these, the expression of urinary prokallikrein was increased while short palate, lung and nasal epithelium carcinoma associated protein (PLUNC) was decreased in all samples of OLP. CONCLUSIONS: Urinary prokallikrein and PLUNC may be the new biomarkers which play a role in inflammation and immune response of OLP.

Adult↗
PubMed2004

Protein profiling of cervical cancer by protein-biochips: proteomic scoring to discriminate cervical cancer from normal cervix.

Analysis of multiple proteins is thought to be essential for establishment of signature proteomic patterns that may distinguish cancer from non-cancer. Surface-enhanced laser desorption/ionization (SELDI) is an affinity-based mass spectrometric method in which proteins of interest are selectively absorbed to a chemically modified surface on a biochip. This technology may provide protein profiling of a variety of biological specimens. In this study, we explored whether the protein biochip SELDI approach could differentiate cervical cancer from non-cancer cohorts. We screened protein profiles generated by SELDI in 62 cervical epithelial cell samples microdissected from 35 invasive cervical cancer and 27 age-matched normal cervix tissue specimens, respectively. The cell lysates of pure populations of cervical cells were applied onto Ciphergen ProteinChip WCX2 Arrays. Proteins bound to the chips were analyzed on a ProteinChip Reader Model PBS II. Derived proteomic patterns were converted to a simple proteomic scoring for distinguishing cancer from non-cancer cohorts. SELDI protein profiles of cell lysates from 20 cervical cancer and 15 normal cervix tissue specimens were used to train and develop a classification scoring system that used a seven-protein mass pattern. The training samples could be correctly discriminated. When a test set of 27 samples was used for evaluation of this scoring system to distinguish cervical cancer from non-cancer, a sensitivity of 87%, a specificity of 100%, a positive predictive value of 100%, and a negative predictive value of 86% for the test population were obtained. All seven proteins appeared to be down regulated in cervical cancer. The results from this study indicate that the proteomics approach of SELDI mass spectrometry, in combination with a simple scoring system, may distinguish cervical cancer from its normal counterpart. If this approach is also workable in the analysis of cervical exfoliated cell lysate, it might potentially be used in the early diagnosis of invasive cervical cancer. In addition, the identification of these specific proteins in cervical cancer may also facilitate the discovery of new cervical tumor marker(s).

Adult↗
PubMed2004

Proteomic analysis of SEG-1 human Barrett's-associated esophageal adenocarcinoma cells treated with keyhole limpet hemocyanin.

Keyhole limpet hemocyanin (KLH) is an immune stimulant derived from a circulating glycoprotein of the marine mollusk Megathura crenulata. We previously reported that KLH inhibited the growth of human Barrett's-associated esophageal adenocarcinoma in vitro via apoptotic and nonapoptotic mechanisms. We hypothesize that KLH reduces the growth of Barrett's cancer cells by altering protein expression profiles. A cell line (SEG-1) derived from Barrett's-associated adenocarcinomas of the distal esophagus was selected. Cells were administered KLH (500 microg/ml) or vehicle. After 24 hours, cytosolic fractions were separated through two-dimensional gel electrophoresis. Statistical analysis was performed with Evolution Pro software to identify spots that were differentially expressed between the KLH and control groups. Proteins displaying a twofold or greater change in expression levels were selected for identification. In a total of 420 spots, 31 were differentially expressed between the KLH and control groups. In all, 12 were upregulated and 19 were downregulated. Of the 31, 17 were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Proteomic evaluation shows downregulation of proteins associated with metabolic processes (glycolysis, protein synthesis). KLH also induced proteins indicative of oxidative stress (heat shock 70 family and UDP-glucose 6-dydrogenase). Our results indicate that growth arrest by KLH is accompanied by a cellular stress response and attenuation of metabolic processes. The use of KLH as adjuvant or topical therapy for Barrett's adenocarcinoma provides a promising development in the treatment of this disease.

Adenocarcinoma↗
PubMed2026

Systematic differences in protein stability underlie species-specific developmental tempo.

Human embryonic development proceeds more slowly than in mice. The segmentation clock offers a tractable model for studying species-specific developmental tempo, as its oscillation period in human induced presomitic mesoderm (iPSM) cells is approximately twice that of mouse. While the core clock gene HES7 exhibits slower protein degradation in human cells, it remains unclear whether such cross-species differences in protein stability reflect a general principle. Here, we perform a dynamic stable isotope labeling of amino acids in cell culture (SILAC)-based proteomic analysis of ∼5,000 proteins in human and mouse iPSM, and we uncover a broad trend of slower protein degradation in human cells, regardless of subcellular localization or degradation pathways. Moreover, inhibition of glycolysis in mouse iPSM partially phenocopies the human protein stability profile, and modulation of protein stability alters the tempo of both the segmentation clock and cellular differentiation. Our findings establish protein stability, with systematic differences across species, as a key mediator linking metabolism to developmental tempo.

Animals↗
PubMed2002

Screening and identification of proteins mediating senna induced gastrointestinal motility enhancement in mouse colon.

AIM: To isolate the proteins involved in pharmacologic action of senna extract (SE) from mouse gastrointestinal tract and to explore the molecular mechanism of gastrointestinal motility change induced by SE. METHODS: SE was administrated to mice by different routes. Gastrointestinal motility of mice was observed using cathartic, gastrointestinal propellant movement experiments and X-ray analysis. Mouse model for gastrointestinal motility enhancement was established through continuous gastric administration of SE at progressively increased dose. At 3 h and week 3, 4, 6 and 10, morphological changes of gastrointestinal tissues were found under light microscope. Ultrastructural changes of intestinal and colonic tissues at week 6 were observed under transmission electron microscope. The colonic proteomic changes in model mice were examined by two-dimension polyacrylamide gel electrophoresis with immobilized pH gradient isoelectric focusing to screen the differentially expressed proteins, and their molecular masses and isoelectric points were determined. Two N-terminal sequences of the samples were also determined by mass spectrometry. RESULTS: SE (0.3g) caused diarrhea after gastric administration in 1-6h and enhanced gastrointestinal propellant (65.1+/-7.5%; 45.8+/-14.6%, P<0.01) in mice, but intramuscular and hypodermic injection had no cathartic effect. X-ray analysis of gastrointestinal motility demonstrated that gastric administration of SE enhanced gastric evacuation and gastrointestinal transferring function. At 3 h and week 3 and 4 after gastric administration of SE, light microscopic examination revealed no apparent change in gastrointestinal mucosal tissues, but transmission electron microscopic examination revealed inflammatory changes in whole layer of intestinal and colonic wall. Twenty differential proteins were detected in the colonic tissues of the model mice by two-dimensional electrophoresis, and the N-terminal amino acid sequences of two proteins were determined. CONCLUSION: SE causes diarrhea and enhances gastrointestinal motility through digestive tract administration. Long-term gastric administration of SE induces inflammatory changes and cell damage in the whole gastrointestinal tract. The differential proteins screened from the colonic tissues of the model mice might mediate the enhancing effect of SE on gastrointestinal motility.

Animals↗
PubMed2002

Operomics: integrated genomic and proteomic profiling of cells and tissues.

In the post-genome era, technologies are becoming available that allow the profiling of tissues and cell populations at multiple levels including genomic (DNA and RNA), proteomic (proteins and peptides) and post-proteomic (eg metabolomic). Operomics refers to the molecular analysis of tissues and cells at the three levels that are connected through the coding process - namely, DNA, RNA and protein. The premise is that no one level or type of analysis fully captures gene expression and that functional changes at the proteome level cannot be simply predicted from analyses at the DNA or RNA levels. An important determinant that weakens a direct link between RNA and protein levels is translational control that differentially regulates mRNA translation. In this paper, the approaches for genomic and proteomic profiling and the contribution of translational control are reviewed.

DNA Methylation↗
PubMed2004

Sensitivity, principal component and flux analysis applied to signal transduction: the case of epidermal growth factor mediated signaling.

MOTIVATION: Novel high-throughput genomic and proteomic tools are allowing the integration of information from a range of biological assays into a single conceptual framework. This framework is often described as a network of biochemical reactions. We present strategies for the analysis of such networks. RESULTS: The direct differential method is described for the systematic evaluation of scaled sensitivity coefficients in reaction networks. Principal component analysis, based on an eigenvalue-eigenvector analysis of the scaled sensitivity coefficient matrix, is applied to rank individual reactions in the network based on their effect on system output. When combined with flux analysis, sensitivity analysis allows model reduction or simplification. Using epidermal growth factor (EGF) mediated signaling and trafficking as an example of signal transduction, we demonstrate that sensitivity analysis quantitatively reveals the dependence of dual-phosphorylated extracellular signal-regulated kinase (ERK) concentration on individual reaction rate constants. It predicts that EGF mediated reactions proceed primarily via an Shc-dependent pathway. Further, it suggests that receptor internalization and endosomal signaling are important features regulating signal output only at low EGF dosages and at later times.

Algorithms↗
PubMed2006

Pharmacogenomics of the polyamine analog 3,8,13,18-tetraaza-10,11-[(E)-1,2-cyclopropyl]eicosane tetrahydrochloride, CGC-11093, in the colon adenocarcinoma cell line HCT1161.

Polyamine analogs are known to inhibit tumorigenesis at least in part by mimicking some of the regulatory roles of natural polyamines. To begin the identification of those signaling pathways that are involved in differential cellular responses to the synthetic conformationally restricted polyamine analog CGC-11093, we conducted gene expression profiling, proteomic, and genome-wide DNA methylation and histone acetylation analyses of the HCT116 colon adenocarcinoma cell line after treatment with this analog. Gene expression analysis was performed using Affymetrix GeneChip human genome U133 Plus 2.0 arrays. Changes in protein expression were evaluated using 2D polyacrylamide gels followed by LCMS/MS. DNA methylation was measured using 6,800 element CpG island microarrays. Treatment of cells with CGC-11093 at concentrations ranging from 0.1 to 10 microM caused inhibition of cell growth and metabolic activity, but only minimally affected cell viability. Gene expression analysis showed concentration-dependent effects of CGC-11093 on the DNA/RNA binding transcription factor, cell cycle, signaling, transport, cytoskeletal/structural, and serine protease genes. Functional gene analysis revealed distinct expression patterns related to inhibition of cell cycle control, TGF beta signaling, proteasome and RNA polymerase pathways, upregulation of the aminoacyl-tRNA synthesis pathway, and perturbations in the MAPK and Wnt signaling pathways. Microarray results were validated for selected genes with real time RT PCR. Proteomics analysis showed correlative changes in the expression of proteins involved in the regulation of proteasome function (proteasome subunit Y) and tRNA synthesis. CGC-11093 treatment did not produce any detectable changes in DNA methylation or histone acetylation in cells. This study validates specific target pathways for a specific conformationally restricted polyamine analog and suggests the utility of combined gene and DNA methylation microarrays along with proteomic analyses as a useful approach to the evaluation of the mechanisms of action of anticancer drugs.

Acetylation↗
PubMed2025

Multi-omics Mendelian randomization integrating RNA-seq, eQTL and pQTL data revealed CPXM1 as a potential drug target for osteoporosis.

Osteoporosis, a prevalent skeletal disorder characterized by decreased bone mineral density and increased fracture risk, continues to be a major global health concern. Traditional treatments for osteoporosis have limited efficacy and safety profiles, highlighting the need for novel therapeutic targets. This study integrates multi-omics data, including RNA-seq, expression quantitative trait loci (eQTL), and protein quantitative trait loci (pQTL) data, through Mendelian randomization (MR) to identify potential drug targets for osteoporosis. By leveraging bidirectional two-sample MR analysis, we identified CPXM1 (Carboxypeptidase X, M14 family member 1) as a novel gene that is causally linked to osteoporosis risk. Through transcriptomic and proteomic validation, we demonstrate that CPXM1 was upregulated in aged bone tissues and osteoporotic conditions in both human and murine models. Gene set enrichment analysis (GSEA) revealed significant dysregulation of bone homeostasis pathways, including increased extracellular matrix degradation and suppression of osteoblast differentiation in aged mice. Furthermore, phenome-wide association studies (PheWAS) confirmed minimal off-target effects of CPXM1, reinforcing its potential as a therapeutic target. Finally, computational drug repurposing predicted several promising drug candidates, including Doxorubicin, 5-Fluorouracil, and 2-Methylcholine, which may target CPXM1 pathways for osteoporosis treatment. These findings highlight CPXM1 as a potential biomarker and therapeutic target, offering new avenues for osteoporosis therapy.

Osteoporosis↗
PubMed2004

Spectral quality assessment for high-throughput tandem mass spectrometry proteomics.

Current techniques in tandem mass spectrometric analyses of cellular protein contents often produce thousands to tens of thousands of spectra per experiment. This study introduces a new algorithm, named SPEQUAL, which is aimed at automated tandem mass spectral quality assessment. The quality of a given spectrum can be evaluated from three basic components: (i) charge state differentiation, (ii) total signal intensity, and (iii) signal-to-noise estimates. The differentiation between single and multiple precursor charge states (i) provides a binary score for a given spectrum. Components (ii) and (iii) provide partial scores which are subsequently summarized and multiplied by the first score. SPEQUAL was applied to over 10,000 data files derived from almost 3,000 tandem mass spectra, and the results (final cumulative scores) were manually verified. SPEQUAL's performance was determined to have high sensitivity and specificity and low error rates for both spectral quality estimates in general and precursor charge state differentiation in particular. Each of the partial scores is controlled by adjustable thresholds to fine-tune SPEQUAL's performance for different analysis pipelines and instrumentation. This spectral quality assessment tool is intended to act in an advisory role to the researcher, assisting in filtration of thousands of spectra typically produced by high throughput tandem mass spectrometric proteome analyses. Lastly, SPEQUAL was implemented as Java GUI-based and command-line-based interfaces freely available for both academic and industrial researchers.

Mass Spectrometry↗
PubMedDate not supplied

Quest for novel cardiovascular biomarkers by proteomic analysis.

Atherosclerosis, and the resulting coronary heart disease and stroke, is the most common cause of death in developed countries. Atherosclerosis is an inflammatory process that results in the development of complex lesions or plaques that protrude into the arterial lumen. Plaque rupture and thrombosis result in the acute clinical complications of myocardial infarction (MI) and stroke. Although certain risk factors (dyslipidemias, diabetes, hypertension) and humoral markers of plaque vulnerability (C-reactive protein, interleukin-6, 10 and 18, CD40L) have been identified, a highly sensitive and specific biomarker or protein profile, which could provide information on the stability/vulnerability of atherosclerotic lesions, remains to be identified. In this review, we report several proteomic approaches which have been applied to circulating or resident cells, atherosclerotic plaques or plasma, in the search for new proteins that could be used as cardiovascular biomarkers. First, an example using a differential proteomic approach (2-DE and MS) comparing the secretome from control mammary arteries and atherosclerotic plaques is displayed. Among the different proteins identified, we showed that low levels of HSP-27 could be a potential marker of atherosclerosis. Second, we have revised several studies performed in cells involved in the pathogenesis of atherosclerosis (foam cells and smooth muscle cells). Another approach consists of performing proteomic analysis on circulating cells or plasma, which will provide a global view of the whole body response to atherosclerotic aggression. Circulating cells can bear information reflecting directly an inflammatory or pro-coagulant state related to the pathology. As an illustration, we report that circulating monocytes and plasma in patients with acute coronary syndromes has disclosed that mature Cathepsin D is increased both in the plasma and monocytes of these patients. Finally, the problems of applying proteomic approach directly to plasma will be discussed. The purpose of this review is to provide the reader with an overview of different proteomic approaches that can be used to identify new biomarkers in vascular diseases.

Arteriosclerosis↗
PubMed2005

[Effects of the Radix Ranuncoli Ternati extracts on Mycobacterium tuberculosis proteome profiling revealed by 2D electrophoresis].

Radix Ranuncoli Ternati is clinically effective traditional Chinese medicine for multidrug resistant tuberculosis. Its active components and mechanism of action remain unsolved. Two dimensional gel electrophoresis (2-DE) was employed to address this problem. Globlal proteome of Mycobacterium tuberculosis untreated and treated with Radix Ranuncoli Ternati were compared, and 22 protein spots were found to be expressed differentially. 3 protein spots which remarkably decreased in Mycobacterium tuberculosis treated with Radix Ranuncoli Ternati were subjected to matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) analysis. The data obtained from peptide mass finger printing were used for database search. The 3 protein spots in gel were identified as cysA2 (thiosulfate sulfurtransferase), tsf (elongation factor EF-Ts) and hspX (heat shock protein X). These data provide insights into the changed global protein patterns of Mycobacterium tuberculosis treated with Radix Ranuncoli Ternati and may prove useful for further study in the mechanism in how Radix Ranuncoli Ternati influence the life of Mycobacterium tuberculosis. The differentially expressed proteins may be potential novel antituberculosis drug targets.

Antigens, Bacterial↗
PubMed2003

Proteome analysis of migrating versus nonmigrating rat heart endothelial cells reveals distinct expression patterns.

Migration of endothelial cells plays an important role during angiogenesis and the late remodeling phase of arteriogenesis. To investigate mechanisms responsible for cell migration, the authors subcloned a rat heart endothelial cell line (RHE) into a migrating and a nonmigrating cell line (RHE-A and RHE-neg, respectively). Both cell lines form cobblestone patterns in confluent cultures similar to the originating cell line, but RHE-neg cells grow in dense cell islets of several layers whereas RHE-A cells grow in a less dense monolayer. Both cell lines show the same expression pattern of known endothelial cell surface antigens (e.g., FIK-1). The authors used two-dimensional gel electrophoresis technique to look for differentially regulated proteins with possible functional importance for cell migration. The analysis of the cytosolic fraction as well as the membrane fraction revealed differences in the protein expression patterns of RHE-neg and RHE-A cells. Regulated spots were isolated and analyzed by mass spectrometry (MS/MS technique), leading to the identification of proteins potentially responsible for endothelial cell migration, e.g., the intermediate filament vimentin that was exclusively expressed in RHE-A cells. The authors thus have generated a reproducible model that allows the analysis of the proteome responsible for endothelial cell migration.

Animals↗
PubMed2005

A proteomic approach in the study of an animal model of Parkinson's disease.

BACKGROUND: The aetiology of Parkinson's disease (PD), an age-related disorder characterized by a progressive degeneration of dopaminergic neurons of the substantia nigra (SN) pars compacta, remains unclear. Current treatments, such as administration of L-DOPA, are only symptomatic and do not stop or delay the progressive loss of neurons. In fact, it has been suggested that the dopamine precursor L-DOPA, increases generation of reactive oxygen species (ROS) leading to further neuronal damage. A similar loss in nigrostriatal dopaminergic neurons is produced on intracerebral administration of the catecholaminergic neurotoxin 6-hydroxydopamine (6-OHDA). In an animal model of PD, termed 'the hemiparkinsonian rat', unilateral injection of 6-OHDA into the nigrostriatal pathway results in extensive loss of dopaminergic cells in the ipsolateral SN. In an attempt to identify some of the proteins that are involved in dopaminergic neuronal death, we used the proteomic methods to analyze this animal model of PD. METHODS: Five hemiparkinsonian rats were obtained by intranigral stereotaxic injection of 6-OHDA. The right 6-OHDA-lesioned substantia nigra and striatum tissues along with the left, unlesioned controlateral tissues, were excised and homogenized, using urea-based buffer, to extract the tissues protein. The separation of the protein mixtures and the visualization of the protein patterns obtained were performed using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Protein profiles of control and treated tissues were compare by the PDQuest 2D-gel analysis software (BIO-Rad laboratory). The protein spots showing differential expression were analysed by matrix assisted laser desorption/ionizing time of flight (MALDI-TOF) mass spectrometry. RESULTS: The brain protein extraction and solubilization protocol was validated obtaining a satisfactory protein profile. In comparison to the normal rats, hemiparkinsonian animals exhibited a different expression in alpha-enolase and beta-actin in substantia nigra and striatum, respectively. CONCLUSION: The proteomic study of 6-OHDA-induced lesions in the nigrostriatial pathway allowed us to identify two proteins, alpha-enolase and beta-actin, showing increased levels in the 6-OHDA-lesioned brain tissues compared to control. Previous studies described the same proteins as oxidized and proteins in Alzheimer's disease (AD) brain. Our preliminary data could mirror those results pointing out a common mechanism of neurodegenerative diseases.

Animals↗
PubMed2006

Proteomic analysis reveals successive aberrations in protein expression from healthy mucosa to invasive head and neck cancer.

Development of head and neck squamous cell carcinoma (HNSCC) is a multistep process and in many cases involves a phenomenon coined 'field cancerization'. In order to identify changes in protein expression occurring at different stages of tumorigenesis and field cancerization, we analysed 113 HNSCCs and 73 healthy, 99 tumor-distant and 18 tumor-adjacent squamous mucosae by SELDI-TOF-MS on IMAC30 ProteinChip Arrays. Forty-eight protein peaks were differentially expressed between healthy mucosa and HNSCC. Calgizarrin (S100A11), the Cystein proteinase inhibitor Cystatin A, Acyl-CoA-binding protein, Stratifin (14-3-3 sigma), Histone H4, alpha- and beta-Hemoglobin, a C-terminal fragment of beta-hemoglobin and the alpha-defensins 1-3 were identified by mass spectrometry. The alpha-defensins showed various alterations in expression as validated by immunohistochemistry (IHC). Supervised prediction analysis revealed excellent classification of healthy mucosa (94.5% correctly classified) and tumor samples (92.9% correctly classified). Application of this classifier to the tumor-adjacent and tumor-distant mucosa samples disclosed dramatic changes: only 59.6% of the tumor-distant biopsies were classified as normal, 27.3% were predicted as aberrant or HNSCC. Strikingly, 72% of the tumor-adjacent mucosae were predicted as aberrant. These data provide evidence for the existence of genetically altered fields with inconspicuous histology. Comparison of the protein profiles in the tumor-distant-samples with clinical outcome of 32 patients revealed a significant association between aberrant profiles with tumor relapse events (P=0.018; Fisher's exact test, two-tailed). We conclude that proteomic profiling in conjunction with protein identification greatly outperforms histopathological diagnosis and may have significant predictive power for clinical outcome and personalized risk assessment.

Amino Acid Sequence↗
PubMed2026

Dual proximity-based interactome mapping of FKBP51 and FKBP52 uncovers shared metabolic networks.

The 51&#x202f;kDa FK506-binding protein (FKBP51) has been studied for its involvement in regulating multiple biological systems, particularly as a regulator of steroid hormone receptors, but roles in metabolism, pain response, cell survival, protein turnover, autophagy, immune response, and insulin signaling have also been described. Genetic variants of FKBP51 are associated with various stress-related mental disorders. While recent research has clarified aspects of these processes, the complete range of FKBP51 interactions remains undetermined. FKBP52, a closely related homolog, also affects similar pathways. Recent studies have identified new protein partners for FKBP51 and FKBP52, suggesting an even broader interactome with transient associations. To further characterize interactions, TurboID-based proximity labeling was performed in HeLa cells. Proteomic analysis confirmed known FKBP51 and FKBP52 interactions, while also identifying additional shared and unique binding partners with strong enrichment in metabolic pathways, amino acid biosynthesis, and carbon metabolism. Although FKBP51 and FKBP52 proximal proteins were primarily cytosolic, FKBP51 showed additional associations with exosomal proteins while FKBP52 engaged with additional nuclear proteins. These findings highlight the overlapping roles in metabolic signaling and differentiate pathway-specific partners.

Tacrolimus Binding Proteins↗