Quantitative proteomic analysis of cyclosporine-induced toxicity in a human kidney cell line and comparison with tacrolimus

The calcineurin-inhibitors (CNIs) cyclosporine (CsA) and tacrolimus (TAC) remain the pillars of modern immunosuppression regimens used in solid organ transplantation. Nephrotoxicity is an adverse effect that limits their successful use. The precise molecular mechanisms underlying this nephrotoxicity remain unclear. Using SILAC together with LC-MALDI-TOF/TOF, we investigated the CNIs-induced proteomic perturbations in renal cells. Among the 495 proteins quantifiable in both forward and reverse SILAC, 69 displayed CsA-induced perturbations: proteins involved in ER-stress/protein folding, apoptosis, metabolism/transport or cytoskeleton pathways were up-regulated, while cyclophilin B as well as nuclear and RNA-processing proteins were down-regulated. Co-administration of CsA with the antioxidant N-acetylcysteine significantly decreased lipid peroxidation and also partially corrected the CsA-induced unfolded protein response. TAC toxicity profile was apparently different from that of CsA, especially without perturbation of cyclophilins A and B, up-regulation of ER-chaperones nor down-regulation of a number of nuclear proteins. These results provide a new insight and are consistent with recent data regarding the molecular mechanisms of CNIs-induced nephrotoxicity. Our findings offer new directions for future research aiming to identify specific biomarkers of CsA nephrotoxicity.     

Proteomic identification of plasma biomarkers in uterine leiomyoma

Recent progresses in quantitative proteomics have offered opportunities to discover plasma proteins as biomarkers for tracking the progression and for understanding the molecular mechanisms of uterine leiomyomas. In the present study, plasma samples were analyzed by fluorescence two-dimensional differential gel electrophoresis (2D-DIGE) and differentially expressed proteins were identified by matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). In total, 20 proteins have been firmly identified representing 13 unique gene products. These proteins mainly functioned in transportation (such as apolipoprotein A-I) and coagulation (such as fibrinogen gamma chain). Additionally, our quantitative proteomic approach has identified numerous previous reported plasma markers of uterine leiomyomas such as alpha-1-antitrypsin. On the contrary, we have presented several putative uterine leiomyomas biomarkers including afamin, apolipoprotein A-I, carbonic anhydrase 1, fibrinogen beta chain, fibrinogen gamma chain, gelsolin, hemopexin, leucine-rich alpha-2-glycoprotein, serotransferrin and vitamin D-binding protein which have not been reported and may be associated with the progression and development of the disease. In summary, we report a comprehensive patient-based proteomic approach for the identification of potential plasma biomarkers for uterine leiomyomas. The potential of utilizing these markers for screening and treating uterine leiomyomas warrants further investigations.     

Proteomic analysis of methyl parathion-responsive proteins in zebrafish (Danio rerio) brain

Methyl parathion (MP), an organophosphorus pesticide used worldwide, has been associated with a wide spectrum of toxic effects on organisms in the environment. This study set out to analyze the alteration of protein profiles in MP-exposed zebrafish (Danio rerio) brain and find the proteins responsive to MP toxicity. Zebrafish were subjected to 1, 3 and 5 mg/L MP and the proteomic changes in their brains were revealed using two-dimensional gel electrophoresis. Six protein spots were observed to be significantly changed by MP exposure. Among these, 4 spots were down-regulated, while 2 spots were up-regulated. These altered spots were excised from the gels and identified by matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry and database searching. The results indicate that these proteins were involved in binding, catalysis, regulation of energy metabolism and cell structure. These data may provide novel biomarkers for the evaluation of MP contamination and useful insights for understanding the mechanisms of MP toxicity.     

Computational prediction of human proteins that can be secreted into the bloodstream

We present a novel computational method for predicting which proteins from highly and abnormally expressed genes in diseased human tissues, such as cancers, can be secreted into the bloodstream, suggesting possible marker proteins for follow-up serum proteomic studies. A main challenging issue in tackling this problem is that our understanding about the downstream localization after proteins are secreted outside the cells is very limited and not sufficient to provide useful hints about secretion to the bloodstream. To bypass this difficulty, we have taken a data mining approach by first collecting, through extensive literature searches, human proteins that are known to be secreted into the bloodstream due to various pathological conditions as detected by previous proteomic studies, and then asking the question: 'what do these secreted proteins have in common in terms of their physical and chemical properties, amino acid sequence and structural features that can be used to predict them?' We have identified a list of features, such as signal peptides, transmembrane domains, glycosylation sites, disordered regions, secondary structural content, hydrophobicity and polarity measures that show relevance to protein secretion. Using these features, we have trained a support vector machine-based classifier to predict protein secretion to the bloodstream. On a large test set containing 98 secretory proteins and 6601 non-secretory proteins of human, our classifier achieved approximately 90% prediction sensitivity and approximately 98% prediction specificity. Several additional datasets are used to further assess the performance of our classifier. On a set of 122 proteins that were found to be of abnormally high abundance in human blood due to various cancers, our program predicted 62 as blood-secreted proteins. By applying our program to abnormally highly expressed genes in gastric cancer and lung cancer tissues detected through microarray gene expression studies, we predicted 13 and 31 as blood secreted, respectively, suggesting that they could serve as potential biomarkers for these two cancers, respectively. Our study demonstrated that our method can provide highly useful information to link genomic and proteomic studies for disease biomarker discovery. Our software can be accessed at http://csbl1.bmb.uga.edu/cgi-bin/Secretion/secretion.cgi.     

LC/MS-Based Quantitative Proteomic Analysis of Paraffin-Embedded Archival Melanomas Reveals Potential Proteomic Biomarkers Associated with Metastasis

Background

Melanoma metastasis status is highly associated with the overall survival of patients; yet, little is known about proteomic changes during melanoma tumor progression. To better understand the changes in protein expression involved in melanoma progression and metastasis, and to identify potential biomarkers, we conducted a global quantitative proteomic analysis on archival metastatic and primary melanomas.

Methodology and Findings

A total of 16 metastatic and 8 primary cutaneous melanomas were assessed. Proteins were extracted from laser captured microdissected formalin fixed paraffin-embedded archival tissues by liquefying tissue cells. These preparations were analyzed by a LC/MS-based label-free protein quantification method. More than 1500 proteins were identified in the tissue lysates with a peptide ID confidence level of >75%. This approach identified 120 significant changes in protein levels. These proteins were identified from multiple peptides with high confidence identification and were expressed at significantly different levels in metastases as compared with primary melanomas (q-Value<0.05).

Conclusions and Significance

The differentially expressed proteins were classified by biological process or mapped into biological system networks, and several proteins were implicated by these analyses as cancer- or metastasis-related. These proteins represent potential biomarkers for tumor progression. The study successfully identified proteins that are differentially expressed in formalin fixed paraffin-embedded specimens of metastatic and primary melanoma.     

Proteomic analysis of secreted proteins by human bronchial epithelial cells in response to cadmium toxicity

For years, many studies have been conducted to investigate the intracellular response of cells challenged with toxic metal(s), yet, the corresponding secretome responses, especially in human lung cells, are largely unexplored. Here, we provide a secretome analysis of human bronchial epithelial cells (BEAS‐2B) treated with cadmium chloride (CdCl₂), with the aim of identifying secreted proteins in response to Cd toxicity. Proteins from control and spent media were separated by two‐dimensional electrophoresis and visualized by silver staining. Differentially‐secreted proteins were identified by MALDI‐TOF‐MS analysis and database searching. We characterized, for the first time, the extracellular proteome changes of BEAS‐2B dosed with Cd. Our results unveiled that Cd treatment led to the marked upregulation of molecular chaperones, antioxidant enzymes, enzymes associated with glutathione metabolic process, proteins involved in cellular energy metabolism, as well as tumor‐suppressors. Pretreatment of cells with the thiol antioxidant glutathione before Cd treatment effectively abrogated the secretion of these proteins and prevented cell death. Taken together, our results demonstrate that Cd causes oxidative stress‐induced cytotoxicity; and the differentially‐secreted protein signatures could be considered as targets for potential use as extracellular biomarkers upon Cd exposure.     

Proteomic candidate biomarkers of drug-induced nephrotoxicity in the rat

Improved biomarkers of acute nephrotoxicity are coveted by the drug development industry, regulatory agencies, and clinicians. In an effort to identify such biomarkers, urinary peptide profiles of rats treated with two different nephrotoxins were investigated. 493 marker candidates were defined that showed a significant response to cis-platin comparing a cis-platin treated cohort to controls. Next, urine samples from rats that received three consecutive daily doses of 150 or 300 mg/kg gentamicin were examined. 557 potential biomarkers were initially identified; 108 of these gentamicin-response markers showed a clear temporal response to treatment. 39 of the cisplatin-response markers also displayed a clear response to gentamicin. Of the combined 147 peptides, 101 were similarly regulated by gentamicin or cis-platin and 54 could be identified by tandem mass spectrometry. Most were collagen type I and type III fragments up-regulated in response to gentamicin treatment. Based on these peptides, classification models were generated and validated in a longitudinal study. In agreement with histopathology, the observed changes in classification scores were transient, initiated after the first dose, and generally persistent over a period of 10-20 days before returning to control levels. The data support the hypothesis that gentamicin-induced renal toxicity up-regulates protease activity, resulting in an increase in several specific urinary collagen fragments. Urinary proteomic biomarkers identified here, especially those common to both nephrotoxins, may serve as a valuable tool to investigate potential new drug candidates for the risk of nephrotoxicity.     

Combination of 'omics' data to investigate the mechanism(s) of hydrazine-induced hepatotoxicity in Rats and to identify potential biomarkers

To gain novel insight into the molecular mechanisms underlying hydrazine-induced hepatotoxicity, mRNAs, proteins and endogenous metabolites were identified that were altered in rats treated with hydrazine compared with untreated controls. These changes were resolved in a combined genomics, proteomics and metabonomics study. Sprague-Dawley rats were assigned to three treatment groups with 10 animals per group and given a single oral dose of vehicle, 30 or 90 mg kg^-1 hydrazine, respectively. RNA was extracted from rat liver 48 h post-dosing and transcribed into cDNA. The abundance of mRNA was investigated on cDNA microarrays containing 699 rat-specific genes involved in toxic responses. In addition, proteins from rat liver samples (48 and 120/168 h post-dosing) were resolved by two-dimensional differential gel electrophoresis and proteins with changed expression levels after hydrazine treatment were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry peptide mass fingerprinting. To elucidate how regulation was reflected in biochemical pathways, endogenous metabolites were measured in serum samples collected 48 h post-dosing by 600-MHz ¹H-NMR. In summary, a single dose of hydrazine caused gene, protein and metabolite changes, which can be related to glucose metabolism, lipid metabolism and oxidative stress. These findings support known effects of hydrazine toxicity and provide potential new biomarkers of hydrazine-induced toxicity.     

Protein Extraction of Formalin-fixed, Paraffin-embedded Tissue Enables Robust Proteomic Profiles by Mass Spectrometry

Global mass spectrometry (MS) profiling and spectral count quantitation are used to identify unique or differentially expressed proteins and can help identify potential biomarkers. MS has rarely been conducted in retrospective studies, because historically, available samples for protein analyses were limited to formalin-fixed, paraffin-embedded (FFPE) archived tissue specimens. Reliable methods for obtaining proteomic profiles from FFPE samples are needed. Proteomic analysis of these samples has been confounded by formalin-induced protein cross-linking. The performance of extracted proteins in a liquid chromatography tandem MS format from FFPE samples and extracts from whole and laser capture microdissected (LCM) FFPE and frozen/optimal cutting temperature (OCT)–embedded matched control rat liver samples were compared. Extracts from FFPE and frozen/OCT–embedded livers from atorvastatin-treated rats were further compared to assess the performance of FFPE samples in identifying atorvastatin-regulated proteins. Comparable molecular mass representation was found in extracts from FFPE and OCT-frozen tissue sections, whereas protein yields were slightly less for the FFPE sample. The numbers of shared proteins identified indicated that robust proteomic representation from FFPE tissue and LCM did not negatively affect the number of identified proteins from either OCT-frozen or FFPE samples. Subcellular representation in FFPE samples was similar to OCT-frozen, with predominantly cytoplasmic proteins identified. Biologically relevant protein changes were detected in atorvastatin-treated FFPE liver samples, and selected atorvastatin-related proteins identified by MS were confirmed by Western blot analysis. These findings demonstrate that formalin fixation, paraffin processing, and LCM do not negatively impact protein quality and quantity as determined by MS and that FFPE samples are amenable to global proteomic analysis. (J Histochem Cytochem 57:849–860, 2009)     

P27-T Evaluation of Fluoromethyl-2,2-difluoro-1-(trifluoromethyl)vinyl Ether (‘Compound A’) Effects on Urine Protein Excretion in Rats Using Mass Spectrometry

Fluoromethyl-2,2-difluoro-1-(trifluoromethyl)vinyl ether (FDVE or “compound A”), a haloalkene degradant of the volatile anesthetic sevoflurane, is nephrotoxic in rats. FDVE bioactivation mediates the toxicity, but the molecular and cellular mechanisms of toxification are unknown. FDVE caused rapid and brisk changes in kidney gene expression, providing potential insights into mechanisms of toxicity, and potential biomarkers for nephrotoxicity.¹ Nevertheless, it is unknown whether gene-expression changes are reflected in protein expression, or whether such tissue changes would be reflected in excreted urine proteins. This investigation was to evaluate FDVE effects on urine protein excretion using mass spectrometry.After Animal Use Committee approval, male Fisher 344 rats (250–300 g) housed in individual metabolic cages received a single intraperitoneal injection of 0.25 mmol/kg FDVE, and all urine was collected daily for 1 wk, as described previously.²The samples were labeled with iTRAQ reagents, and both the 4800 MALDI TOF/TOF Analyzer and the 4000 Q TRAP system (AB/MDS SCIEX) were used to acquire data in MS and MS/MS modes. Data were processed with MarkerView software and ProteinPilot Software (AB/MDS SCIEX).The results demonstrate that FDVE causes certain alterations in urine protein/peptide excretion. Multiple components were differentially expressed in a time-dependent manner. Excretion of several endogenously excreted proteins was rapidly decreased by FDVE. Other native peptides showed increased excretion following FDVE, and then gradually decreased to pre-dose levels. Excretion of a third set of proteins/peptides, minimally or not detectable in controls, was upregulated following FDVE. Further experiments will be conducted to identify the protein/peptide markers using LC MALDI MS/MS and other technologies to further investigate the usefulness of MS for identifying biomarkers for FDVE nephrotoxicity.     

Hemopexin is up-regulated in plasma from type 1 diabetes mellitus patients: Role of glucose-induced ROS

Type 1 diabetes mellitus (T1DM) is an insulin-dependent metabolic disease in the world and often occurs in children and adolescents. Recent advances in quantitative proteomics offer potential for the discovery of plasma proteins as biomarkers for tracking disease progression and for understanding the molecular mechanisms of diabetes. Comparative proteomic analysis of the plasma proteomes from T1DM cases and healthy donors with lysine- and cysteine-labeling 2D-DIGE combining MALDI-TOF/TOF mass spectrometry revealed that 39 identified T1DM-associated plasma proteins showed significant changes in protein expression including hemopexin, and 41 in thiol reactivity. Further study showed that hemopexin can be induced in numerous cell lines by increasing the glucose concentration in the medium. Interestingly, glucose-induced hemopexin expression can be reduced by reactive oxygen species (ROS) scavengers such as glutathione, implying that hemopexin expression is linked to glucose-induced oxidative stress. In conclusion, the current work has identified potential T1DM biomarkers and one of these, hemopexin, can be modulated by glucose through a ROS-dependent mechanism.     

Osteogenic differentiation of adipose derived stem cells promoted by overexpression of osterix

Secreted proteins, which may be involved in the regulation of various biological processes, are the potential targets for diagnosis and treatment of diverse diseases. In this study, to identify the human hepatoma HepG2 cells-derived secreted proteins more extensively, we applied the protein sample preparations using the combinations of denaturation methods and molecular-mass cutoff via ultrafiltration to the two-dimensional liquid chromatography coupled with tandem mass spectrometry (2D LC–MS/MS) analysis. We were able to identify a total of 86 proteins containing widely known secreted proteins of HepG2 such as alpha-fetoprotein, of which 73 proteins including 27 signal peptide-containing proteins have never been reported to be secreted from HepG2 cells in other proteomic studies. Among the identified signal peptide-containing proteins, ten proteins such as growth differentiation factor 15, osteopontin and stanniocalcin 2 were discovered as new secreted proteins of HepG2 cells. These observations suggest that the combinations of different sample preparation methods and 2D LC–MS/MS analysis are useful for identifying a wider range of low-abundance proteins and that the secreted proteins from HepG2 identified in this study may be useful as liver-specific biomarkers for diagnosis and treatment.     

Comparative proteomic analysis of male and female plants in Jojoba (<Emphasis Type="Italic">Simmondsia chinensis</Emphasis>) leaves revealed changes in proteins involved in photosynthesis,metabolism, energy,and biotic and abiotic stresses

Jojoba is a dioecious shrub with female and male flowers in separated individuals. The plant native to North and Central American deserts, it’s cultivated in many other places worldwide for its valuable liquid wax. The male-biased ratio in cultivated jojoba affects the yield. To develop protein molecular markers for early gender differentiation, comparative proteomic study been conducted on male and female leaves. Using gel-based proteomic, 45 proteins were identified representing 19 different proteins with 18 known functions. The identified proteins were involved in photosynthesis, energy, metabolism and the respond to biotic and abiotic stress. Ribulose-1,5-bisphosphate carboxylase (Rubisco) and ATP synthase were the most abundant proteins in both male and female of jojoba leaves, both were upregulated in male compared to female. Both proteins have the potential to serve as protein biomarkers for early differentiation between male and female in jojoba plant. These results could help in better understanding the molecular mechanism of gender differentiation in jojoba.     

Proteomic characterization of the released/secreted proteins of Leishmania (Viannia) braziliensis promastigotes

Extracellular proteins secreted/released by protozoan parasites are key mediators of the host–parasite interaction. To characterise the profile of proteins secreted/released by Leishmania (Viannia) braziliensis promastigotes, a proteomic approach combining two-dimensional electrophoresis (2DE), tandem matrix-assisted laser desorption ionization-time-of-flight (MALDI-TOF/TOF) mass spectrometry, and data mining was carried out. The 2DE map revealed a set of 270 secreted protein spots from which 42 were confidently identified and classified into 11 categories according to Gene Ontology (GeneDB database) and KEEG Ontology annotation of biological processes. Parasite promastigotes were able to secrete/release proteins involved in immunomodulation, signal transduction, and intracellular survival, such as HSP70, acid phosphatase, activated protein kinase C receptor (LACK), elongation factor 1β, and tryparedoxin peroxidase. Data mining showed that ~ 5% of identified proteins present a classical secretion signal whereas ~ 57% were secreted following non-classical secretion mechanisms, indicating that protein export in this primitive eukaryote might proceed mainly by unconventional pathways. This study reports a suitable approach to identify secreted proteins in the culture supernatant of L. braziliensis and provides new perspectives for the study of molecules potentially involved in the early stages of infection.