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PubMed2005

Identification of differentially expressed proteins of gamma-ray irradiated rat intestinal epithelial IEC-6 cells by two-dimensional gel electrophoresis and matrix-assisted laser desorption/ionisation-time of flight mass spectrometry.

To identify proteins involved in the processes of cellular and molecular response to radiation damage repair in intestinal epithelial IEC-6 cells, we comparatively analyzed the proteome of irradiated IEC-6 cells with that of normal cells. A series of methods were used, including two-dimensional gel electrophoresis (Z-DE), PDQuest software analysis of 2-DE gels, peptide mass fingerprinting based on matrix-assisted laser desorption/ionisation-time of flight-mass spectrometry (MALDI-TOF-MS), and Swiss-Prot database searching, to separate and identify differentially expressed proteins. Western blotting and reverse transcriptase polymerase chain reaction (RT-PCR) were used to validate the differentially expressed proteins. Image analysis revealed that averages of 608 +/- 39 and 595 +/- 31 protein spots were detected in normal and irradiated IEC-6 cells, respectively. Sixteen differential protein spots were isolated from gels, and measured with MALDI-TOF-MS. A total of 14 spots yielded good spectra, and 11 spots matched with known proteins after database searching. These proteins were mainly involved in anti-oxidation, metabolism, and protein post-translational processes. Western blotting confirmed that stress-70 protein was down-regulated by gamma-irradiation. Up-regulation of ERP29 was confirmed by RT-PCR, indicating that it is involved in ionizing radiation. The clues provided by the comparative proteome strategy utilized here will shed light on molecular mechanisms of radiation damage repair in intestinal epithelial cells.

Animals↗
PubMed2004

Proteome analysis of Pseudomonas sp. K82 biodegradation pathways.

Pseudomonas sp. K82 is a soil bacterium that can degrade and use monocyclic aromatic compounds including aniline, 3-methylaniline, 4-methylaniline, benzoate and p-hydroxybenzoate as its sole carbon and energy sources. In order to understand the impact of these aromatic compounds on metabolic pathways in Pseudomonas sp. K82, proteomes obtained from cultures exposed to different substrates were displayed by two-dimensional gel electrophoresis and were compared to search for differentially induced metabolic enzymes. Column separations of active fractions were performed to identify major biodegradation enzymes. More than thirty proteins involved in biodegradation and other types of metabolism were identified by electrospray ionization-quadrupole time of flight mass spectrometry. The proteome analysis suggested that Pseudomonas sp. K82 has three main metabolic pathways to degrade these aromatic compounds and induces specific metabolic pathways for each compound. The catechol 2,3-dioxygenase (CD2,3) pathway was the major pathway and the catechol 1,2-dioxygenase (beta-ketoadipate) pathway was the secondary pathway induced by aniline (aniline analogues) exposure. On the other hand, the catechol 1,2-dioxygenase pathway was the major pathway induced by benzoate exposure. For the degradation of p-hydroxybenzoate, the protocatechuate 4,5-dioxygenase pathway was the major degradation pathway induced. The nuclear magnetic resonance analysis of substrates demonstrated that Pseudomonas sp. K82 metabolizes some aromatic compounds more rapidly than others (benzoate > p-hydroxybenzoate > aniline) and that when combined, p-hydroxybenzoate metabolism is repressed by the presence of benzoate or aniline. These results suggest that proteome analysis can be useful in the high throughput study of bacterial metabolic pathways, including that of biodegradation, and that inter-relationships exist with respect to the metabolic pathways of aromatic compounds in Pseudomonas sp. K82.

Aniline Compounds↗
PubMed2004

Discovering disease-associated enzymes by proteome reactivity profiling.

Proteomics aims to identify new markers and targets for the diagnosis and treatment of human disease. To realize this goal, methods and reagents are needed to profile proteins based on their functional properties, rather than mere abundance. Here, we describe a general strategy for synthesizing and evaluating structurally diverse libraries of activity-based proteomic probes. Quantitative screening of probe-proteome reactions coupled with bioinformatic analysis enabled the selection of a suite of probes that exhibit complementary protein reactivity profiles. This optimal probe set was applied to discover several enzyme activities differentially expressed in lean and obese (ob/ob) mice. Interestingly, one of these enzymes, hydroxypyruvate reductase, which was 6-fold upregulated in ob/ob livers, participates in the conversion of serine to glucose, suggesting that this unusual metabolic pathway may contribute to gluconeogenesis selectively in states of obesity.

Acetamides↗
PubMed2002

Sub-proteome differential display: single gel comparison by 2D electrophoresis and mass spectrometry.

Two-dimensional (2D) gel electrophoresis and mass spectrometry (MS) have been used in comparative proteomics but inherent problems of the 2D electrophoresis technique lead to difficulties when comparing two samples. We describe a method (sub-proteome differential display) for comparing the proteins from two sources simultaneously. Proteins from one source are mixed with radiolabelled proteins from a second source in a ratio of 100:1. These combined proteomes are fractionated simultaneously using column chromatographic methods, followed by analysis of the pre-fractionated proteomes (designated sub-proteomes) using 2D gel electrophoresis. Silver staining and (35)S autoradiography of a single gel allows precise discrimination between members of each sub-proteome, using commonly available computer software. This is followed by MS identification of individual proteins. We have demonstrated the utility of the technology by identifying the product of a transfected gene and several proteins expressed differentially between two renal carcinoma proteomes. The procedure has the capacity to enrich proteins prior to 2D electrophoresis and provides a simple, inexpensive approach to compare proteomes. The single gel approach eliminates differences that might arise if separate proteome fractionations or 2D gels are employed.

Animals↗
PubMed2005

Proteomic analysis of proteins expressed by Helicobacter pylori under oxidative stress.

Helicobacter pylori is a spiral, slow growing gram-negative microaerophilic bacterium. It has been shown to be the etiological agent of gastroduodenal diseases, such as chronic gastritis, gastric and duodenal ulcers, and gastric cancer. To address the influence of oxidative stress and its underlying mechanisms, we have compared proliferation, urease activity and protein expression profile of H. pylori incubated under normal microaerophilic (5% O2) and aerobic stress (20% O2) conditions. Oxidative-stress cells displayed coccoid morphology and time-dependent decrease in proliferation. The urease activity was completely abrogated after 32 h. We have further compared the protein expression profiles of H. pylori under normal growing and oxidative-stress conditions by a global proteomic analysis, which includes high-resolution 2-DE followed by MALDI-TOF-MS and bioinformatic databases search/peptide-mass comparison. The results revealed that more than ten proteins were differentially expressed under oxidative stress. Most notably, the protein expression levels of urease accessory protein E (UreE, an essential metallochaperone for urease activity) and alkylhydroperoxide reductase (AhpC) with antioxidant potential are greatly decreased under stress conditions. Measurements of messenger RNA transcription level by performing RT-PCR on total mRNA also confirmed that gene expressions for these two proteins are consistently repressed under oxygen tension. These changes form a firm basis to account for the loss of urease activity and anti-oxidative ability of H. pylori after long-term exposure to reactive oxygen. Conceivably, UreE and AhpC may thus be listed as potential targets for the development of therapeutic drugs against H. pylori.

Animals↗
PubMed2006

Potential protein markers for nutritional health effects on colorectal cancer in the mouse as revealed by proteomics analysis.

It is suggested that colorectal cancer might be prevented by changes in diet, and vegetable consumption has been demonstrated to have a protective effect. Until now, little is known about the effects of vegetable consumption at the proteome level. Therefore, the effect of increased vegetable intake on the protein expression in the colonic mucosa of healthy mice was studied. Aim was to identify the proteins that are differentially expressed by increased vegetable consumption and to discriminate their possible role in the protection against colorectal cancer. Mice were fed four different vegetable diets, which was followed by analysis of total cellular protein from colonic mucosal cells by a combination of 2-DE and MS. We found 30 proteins that were differentially expressed in one or more diets as compared to the control diet. Six could be identified by MALDI-TOF MS: myosin regulatory light chain 2, carbonic anhydrase I, high-mobility group protein 1, pancreatitis-associated protein 3, glyceraldehyde-3-phosphate dehydrogenase and ATP synthase oligomycin sensitivity conferral protein. Alterations in the levels of these proteins agree with a role in the protection against colon cancer. We conclude that these proteins are suitable markers for the health effect of food on cancer. The observed altered protein levels therefore provide support for the protective effects of vegetables against colorectal cancer.

Animals↗
PubMed2004

Proteomic analysis of proteins altered by dibenzoylmethane in human prostatic cancer LNCaP cells.

This paper explores the use of proteomics as a tool for identifying protein species whose expression has been altered by dibenzoylmethane (DBM) in LNCaP cells. Although DBM, a constituent of licorice, has been shown to induce cell cycle arrest and regulate androgen receptor (AR) expression, the mechanism by which these events occur is unknown. To develop a better understanding of the effect of DBM on cancer cells, we analyzed changes in protein expression induced by DBM in LNCaP cells using two-dimensional (2-D) gel electrophoresis. The proteomic approach used to study LNCaP cells has lead to the analysis and identification of a number of protein species that increase or decrease as a result of exposure to DBM. In particular, twenty features were found to be differentially expressed in this study based on the quantitation of two separate 2-D-fluorescence difference gel electrophoresis analyses. Thirteen of these features were identified through mass spectrometric analysis. The intensity of 10 out of the 13 spots identified increased 2- to 3-fold in response to 25 micro M and 50 micro M DBM and the remaining three spots decreased 2-fold in response to the same DBM treatment. This study investigates proteomic changes induced by treatment of cells with DBM in order to develop a model for the mechanism by which DBM induces cell cycle arrest and represses AR expression.

Cell Line, Tumor↗
PubMed2004

Identification of patients with head and neck cancer using serum protein profiles.

BACKGROUND: New and more consistent biomarkers of head and neck squamous cell carcinoma (HNSCC) are needed to improve early detection of disease and to monitor successful patient management. OBJECTIVE: To determine if a new proteomic technology can correctly identify protein expression profiles for cancer in patient serum samples as well as detect the presence of a known tumor marker. DESIGN: Direct proteomic analysis and comparison. METHODS: The surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF) ProteinChip system was used to screen for differentially expressed proteins in serum samples from 99 patients with HNSCC, 25 "healthy" smokers, and 102 healthy (normal) controls. Protein peak clustering and classification analyses of the SELDI spectral data were performed. RESULTS: Several proteins, with masses ranging from 2778 to 20,800 Da, were differentially expressed between patients with HNSCC and the normal controls. The serum protein expression profiles were used to develop a classification tree algorithm, which achieved a sensitivity of 83.3% and a specificity of 90% in discriminating HNSCC from normal and healthy smoker controls. The positive and negative predictive values were 80% and 92%, respectively. A peak with an average mass of 10,068 Da was detected in sera from HNSCC patients and identified as the known biomarker metallopanstimulin-1 (MPS-1), based on mass. Peak relative intensity of the 10,068-Da protein correlated consistently with MPS-1 levels detected by radioimmunoassay in serum samples of HNSCC patients and controls. The 10,068-Da peak was provisionally identified as MPS-1 by SELDI immunoassay. CONCLUSION: We propose that this technique may allow for the development of a reliable screening test for the early detection and diagnosis of HNSCC, as well as the potential identification of tumor biomarkers.

Biomarkers, Tumor↗
PubMed2026

Multidimensional Proteomics Reveals the Pro-apoptotic Mechanism of Platycodin D: Targeting RFC4 to Regulate the Notch Signaling Axis in Non-Small Cell Lung Cancer.

Platycodin D (PD), a major bioactive saponin isolated from the traditional Chinese medicine Platycodon grandiflorus, has shown promising therapeutic potential against non-small cell lung cancer (NSCLC). However, the functional mechanisms of PD in NSCLC progression remains unclear. This study aimed to explore the pharmacological mechanism of PD against NSCLC. Thermal proteome profiling approach, molecular docking, cellular thermal shift assay and peptide-centric local stability assay were employed to identify the potential binding target of PD. Subsequent Western Blot and immunoprecipitation-Western Blot experiments were conducted to investigate the downstream signaling pathways of the target. Furthermore, proteomic and ubiquitinomic profiling of PD-treated cells were performed to investigate its functions on global. replication factor C subunit 4 (RFC4) was identified as a potential binding target of PD by thermal proteome profiling and their binding sites were further exposed by peptide-centric local stability assay. PD-RFC4 complex promotes the degradation of Notch1 and Notch3 by reducing nuclear entry of their domains. Compared with control treatment, the differentially expressed proteins induced by PD were found to be primarily involved in ferroptosis, ubiquitination, platinum drug resistance, and ribosome-related processes. The ubiquitin proteome analysis revealed that proteins associated with the Notch pathway underwent ubiquitin modifications. PD binds to RFC4 and inhibits its activity, leading to downregulation of the Notch signaling pathway, ultimately triggering cancer cell apoptosis. PD is a natural product with potential therapeutic value for NSCLC.

Saponins↗
PubMed2006

Two-dimensional difference gel electrophoresis.

The two-dimensional (2D) polyacrylamide gel-based approach to protein profiling has been successful because it is an accessible, inexpensive, and powerful tool for the analysis of global patterns of protein expression. All protein spots that are resolved and detected within the 104 to 105 dynamic range of gel capacity can be studied qualitatively and quantitatively in relation to each other, and viewed as a single image. Two-dimensional difference gel electrophoresis (DIGE) has strengthened the 2D platform by allowing the detection and quantitation of differences between samples resolved on the same gel, or across multiple gels, when linked by an internal standard. The technology is based on modification of protein extracts with fluorescent cyanine dyes, which have distinct excitation and emission spectra and are migration (charge and size) matched so that the same protein labeled with any of the dyes (Cy2, Cy3, Cy5) will migrate to the same position within a 2D gel, greatly enhancing reproducibility. It is becoming clear that each technology that is currently available for quantifying differential protein expression has its own weaknesses and strengths, and that multiplatform, integrated approaches will be necessary to provide the most complete analysis of any given proteome. We believe that DIGE is, and will remain in the future, a key front-end proteomic tool that will strongly complement other protein-profiling technologies.

Animals↗
PubMed2005

Sample handling for mass spectrometric proteomic investigations of human sera.

Proteomic investigations of sera are potentially of value for diagnosis, prognosis, choice of therapy, and disease activity assessment by virtue of discovering new biomarkers and biomarker patterns. Much debate focuses on the biological relevance and the need for identification of such biomarkers while less effort has been invested in devising standard procedures for sample preparation and storage in relation to model building based on complex sets of mass spectrometric (MS) data. Thus, development of standardized methods for collection and storage of patient samples together with standards for transportation and handling of samples are needed. This requires knowledge about how sample processing affects MS-based proteome analyses and thereby how nonbiological biased classification errors are avoided. In this study, we characterize the effects of sample handling, including clotting conditions, storage temperature, storage time, and freeze/thaw cycles, on MS-based proteomics of human serum by using principal components analysis, support vector machine learning, and clustering methods based on genetic algorithms as class modeling and prediction methods. Using spiking to artificially create differentiable sample groups, this integrated approach yields data that--even when working with sample groups that differ more than may be expected in biological studies--clearly demonstrate the need for comparable sampling conditions for samples used for modeling and for the samples that are going into the test set group. Also, the study emphasizes the difference between class prediction and class comparison studies as well as the advantages and disadvantages of different modeling methods.

Humans↗
PubMed2006

Proteomic analysis of rat liver phosphoproteins after treatment with protein kinase inhibitor H89 (N-(2-[p-bromocinnamylamino-]ethyl)-5-isoquinolinesulfonamide).

Therapeutic strategies focused on kinase inhibition rely heavily on surrogate measures of kinase inhibition obtained from in vitro assay systems. There is a need to develop methodology that will facilitate measurement of kinase inhibitor activity or specificity in tissue samples from whole animals treated with these compounds. Many of the current methods are limited by the use of antibodies, many of which do not cross-react between several species. The proteomics approach described herein has the potential to reveal novel tissue substrates, potential new pathway interconnections, and inhibitor specificity by monitoring differences in protein phosphorylation. We used the protein kinase inhibitor H89 (N-(2-[p-bromocinnamylamino]-ethyl)-5-isoquinolinesulfonamide) as a tool to determine whether differential profiling of tissue phosphoproteins can be used to detect treatment-related effects of a protein kinase A (PKA) inhibitor in vivo. With a combination of phosphoprotein column enrichment, high-throughput two-dimensional gel electrophoresis, differential gel staining with Pro-Q Diamond/SYPRO Ruby, statistical analysis, and matrix-assisted laser desorption ionization/time of flight mass spectrometry analysis, we were able to show clear differences between the phosphoprotein profiles of rat liver protein extract from control and treated animals. Moreover, several proteins that show a potential change in phosphorylation were previously identified as PKA substrates or have putative PKA phosphorylation sites. The data presented support the use of differential proteomic methods to measure effects of kinase inhibitor treatment on protein phosphorylation in vivo.

Animals↗
PubMed2006

A quest for human and mouse embryonic stem cell-specific proteins.

Embryonic stem cells (ESCs) are of immense interest as they can proliferate indefinitely in vitro and give rise to any adult cell type, serving as a potentially unlimited source for tissue replacement in regenerative medicine. Extensive analyses of numerous human and mouse ESC lines have shown generic similarities and differences at both the transcriptional and functional level. However, comprehensive proteome analyses are missing or are restricted to mouse ESCs. Here we have used an extensive proteomic approach to search for ESC-specific proteins by analyzing the differential protein expression profiles of human and mouse ESCs and their differentiated derivatives. The data sets comprise 1,775 non-redundant proteins identified in human ESCs, 1,532 in differentiated human ESCs, 1,871 in mouse ESCs, and 1,552 in differentiated mouse ESCs with a false positive rate of <0.2%. Comparison of the data sets distinguished 191 proteins exclusively identified in both human and mouse ESCs but not in their differentiated derivatives. Besides well known ESC benchmarks, this subset included many uncharacterized proteins, some of which may be novel ESC-specific markers. To complement the mass spectrometric approach, differential expression of a selection of these proteins was confirmed by Western blotting, immunofluorescence confocal microscopy, and fluorescence-activated cell sorting. Additionally two other independently isolated and cultured human ESC lines as well as their differentiated derivatives were monitored for differential expression of selected proteins. Some of these proteins were identified exclusively in ESCs of all three human lines and may thus serve as generic ESC markers. Our wide scale proteomic approach enabled us to screen thousands of proteins rapidly and select putative ESC-associated proteins for further analysis. Validation by three independent conventional protein analysis techniques shows that our methodology is robust, provides an excellent tool to characterize ESCs at the protein level, and may disclose novel ESC-specific benchmarks.

Animals↗
PubMed2001

Proteomic analysis of the bacterial cell cycle.

A global approach was used to analyze protein synthesis and stability during the cell cycle of the bacterium Caulobacter crescentus. Approximately one-fourth (979) of the estimated C. crescentus gene products were detected by two-dimensional gel electrophoresis, 144 of which showed differential cell cycle expression patterns. Eighty-one of these proteins were identified by mass spectrometry and were assigned to a wide variety of functional groups. Pattern analysis revealed that coexpression groups were functionally clustered. A total of 48 proteins were rapidly degraded in the course of one cell cycle. More than half of these unstable proteins were also found to be synthesized in a cell cycle-dependent manner, establishing a strong correlation between rapid protein turnover and the periodicity of the bacterial cell cycle. This is, to our knowledge, the first evidence for a global role of proteolysis in bacterial cell cycle control.

Caulobacter crescentus↗
PubMed2002

Selecting targets for therapeutic validation through differential protein expression using chromatography-mass spectrometry.

The identification of potential targets for therapeutic intervention can be accomplished on a systematic basis by a variety of techniques that include quantitative analysis of gene-specific mRNA levels and expressed proteins in normal and diseased cells. Differences in the expression levels of nucleic acid and protein gene products could suggest protein drug targets that are directly causative of disease, or reveal biochemical pathways that could be modulated by therapeutic molecules. Any effort based on mRNA or protein expression level comparisons could be confounded by a number of factors: level in steady-state may not be correlated with actual encoded protein levels; differentially expressed protein levels might be a result of disease process, and not causative of the process, and therapeutic intervention based on such a difference will be unproductive and the differential expression of mRNA or protein may be the result of biological variation unrelated to the disease process under study. In order to address these possibly confounding factors, it is necessary to validate potential targets by establishing their firm association with disease, and their minimal distribution in non-diseased tissues of any type. This requirement suggests that emphasis on true and reproducible quantitation of protein expression levels in a variety of samples will be an effective and highly efficient method of generating drug targets with a high degree of utility. To achieve this aim, we have established an industrial-scale proteomics-based discovery platform consisting of cell biology, protein chemistry, and mass spectrometry technical groups together with bioinformatics groups. The analytical method used for quantitation employs isotope labeling for differential analysis (ICATTM, Applied Biosystems, Inc.). With this technique, tryptic peptides are generated from labeled proteins that have been specifically captured from various subcellular locations or protein families. The resulting peptides are identified and quantified by mass spectrometry. To evaluate this approach on a large-scale, we have applied it to a study of continuous cell lines derived from human pancreatic adenocarcinomas. We have been able to establish processes for target discovery for small molecule drug targets as well as therapeutic antibody target identification for cell surface proteins. In addition, we have developed a process for identification of serum markers of this disease based upon standardized fractionation procedures. The results of these analyses will be presented together with the some of the issues from both the wet and dry (computational) lab that need to be addressed in such an undertaking.

Biomarkers, Tumor↗
PubMed2004

Recent advances in neuroproteomics and potential application to studies of drug addiction.

The rapidly growing field of proteomics seeks to track changes in protein expression function that underlie the growth and differentiation of individual cell types, both during normal development and during the onset and progression of disease. Recent years have seen great strides in mRNA expression analysis, and the development of new technologies for protein profiling. However, current methods are limited to analysis of the relative expression level of only a few hundred to perhaps 2000 proteins, well below the ability of DNA microarrays to potentially interrogate the mRNA expression of more than 25,000 genes. Proteomics faces a special challenge in studies of the nervous system, where cellular and sub-cellular architecture is among the most complex in the body. This article presents an overview of current proteomic profiling technologies, reviews the recent use of some of these approaches in studies of the nervous system, and discusses the potential application of neuroproteomics to studies of drug addiction.

Animals↗
PubMed2006

Proteome analysis of human monocytic THP-1 cells primed with oxidized low-density lipoproteins.

Native low-density lipoprotein (LDL) and oxidized LDL (oxLDL) possess a wide variety of biological properties, and play a central role in atherogenesis. In this study, we used a proteomic analysis of human monocyte THP-1 cells induced with oxLDL or with LDL, to identify proteins potentially involved in atherosclerotic processes. Of the 2500 proteins detected, 93 were differentially expressed as a result of priming with LDL or oxLDL. The proteins were unambiguously identified by comparing the masses of their tryptic peptides with those of all known proteins using MALDI-TOF MS and the NCBI database. The largest differences in expression were observed for vimentin (94-fold increase), meningioma-expressed antigen 6 (48-fold increase), serine/threonine protein phosphatase 2A (40-fold increase), and beta-1,3-galactosyltransferase (15-fold increase). In contrast, the abundance of an unnamed protein product and phosphogluconate dehydrogenase decreased 30-fold and 25-fold, respectively. The expression of some selected proteins was confirmed by Western blot and RT-PCR analyses. The proteins identified in this study are attractive candidates for further biomarker research. This description of the altered protein profiles induced by oxLDL in human monocytes will support functional studies of the macrophage-derived foam cells involved in the pathogenesis of atherosclerosis.

Biomarkers↗
PubMed2003

Susceptibility to oxidative stress: proteomic analysis of bronchoalveolar lavage from ozone-sensitive and ozone-resistant strains of mice.

Previous studies have shown that the pulmonary response to ozone (O(3)) varies greatly among strains of mice, but the factor(s) and the mechanism(s) that are responsible for this differential susceptibility have not yet been clearly identified. The present study explores the molecular bases for this differential O(3) susceptibility by studying the expression of proteins associated to the epithelial lining fluid (ELF) from two strains of mice, C57BL/6J and the C3H/HeJ, respectively described as O(3)-sensitive and O(3)-resistant. The ELF proteins of these two strains were displayed by two-dimensional gel electrophoresis (2-DE) of bronchoalveolar lavage fluids (BALFs) and the protein patterns obtained with BALF samples of both strains were compared. Two major differences were observed between the BALF 2-DE protein maps obtained from C57BL/6J and C3H/HeJ strains. First, two isoforms of the antioxidant protein 2 (AOP2) were detected in a strain-dependent manner: C3J/HeJ possesses only AOP2a (isoelectric point 5.7) and C57BL/6J exhibits only AOP2b (isoelectric point 6.0). Second, the levels of anti-inflammatory and immunosuppressive Clara cell protein-16 (CC16) were 1.3 times higher in the BALF from resistant C3H/HeJ than from sensitive C57BL/6 mice. Moreover, two 6 kDa isoforms of CC16 with isoelectric points of 4.9 (CC16a) and 5.2 (CC16b) are detected in both strains. Interestingly, the C57BL/6J strain had a twice decreased level of the acidic isoform of CC16 compared to C3H/HeJ. Our results suggest that AOP2 and CC16 might participate in the protection of the pulmonary tract to O(3)-induced lung injury. The possible differential contribution of specific protein isoforms in the differential susceptibility to oxidative stress is discussed.

Alleles↗