A two-dimensional electrophoretic map of human mitochondrial proteins from immortalized lymphoblastoid cell lines: a prerequisite to study mitochondrial disorders in patients

Mitochondrial diseases may be caused by numerous mutations that alter proteins of the respiratory chain and of other metabolic pathways in the mitochondrium. For clinicians this disease group poses a considerable diagnostic challenge due to ambiguous genotype-phenotype relationships. Until now, only 30% of the mitochondriopathies can be diagnosed at the molecular level. We therefore need a new diagnostic tool that offers a wide view on the mitochondrial proteins. Here, we present a method to generate a high-resolution, large-gel two-dimensional gel electrophoretic (2-DE) map of a purified fraction of mitochondrial proteins from Epstein-Barr virus-immortalized lymphoblastoid cell line (LCL). LCLs can be easily obtained from patients and control subjects in a routine clinical setting. They often express the biochemical phenotype and can be cultured to high cell numbers, sufficient to gain enough purified material for 2-DE. In total we identified 166 mitochondrial proteins. Thirteen proteins were earlier not known to be of mitochondrial origin. Thirty-nine proteins were associated with human diseases ranging from respiratory chain enzyme deficiencies to disorders of beta-oxidation and amino acid metabolism. This 2-DE map is intended to be the first step to diagnose mitochondrial diseases at the proteomic level.     

Comparison of different depletion strategies for improved resolution in proteomic analysis of human serum samples

Serum proteins may often serve as indicators of disease and is a rich source for biomarker discovery. However, the large dynamic range of proteins in serum makes the analysis very challenging because high-abundant proteins tend to mask those of lower abundance. A prefractionation step, such as depletion of a few high-abundant proteins before protein profiling, can assist in the discovery and detection of less abundant proteins that may prove to be informative biomarkers. In the present study, five different depletion columns were investigated considering efficiency, specificity, and reproducibility. Our research included quantitative determination of total protein, albumin, and immunoglobulin G (IgG) concentrations, one- and two-dimensional gels and mass spectrometric analysis of the serum samples before and after the depletion step. Our results showed that all five depletion columns tested removed albumin and IgG with high efficiency. We found that based on reproducibility and binding specificity, the Multiple Affinity Removal Column that removed a total of six high-abundant proteins (albumin, IgG, antitrypsin, IgA, transferring, and haptoglobin) offered the most promising depletion approach. Among the disposable (single-use) products, the ProteoExtract Albumin/IgG Removal kit displayed the best results. Depleted serum from the Multiple Affinity Removal column was further evaluated by 2-D gel electrophoresis (2-DE) analysis, and the results indicated increased resolution and improved intensity of low-abundant proteins in a reproducible fashion. Our study provides a comprehensive investigation of commercially available depletion columns and will be of high importance for future proteomic studies on serum samples.     

A "de-streaking" method for two-dimensional electrophoresis using the reducing agent tris(2-carboxyethyl)-phosphine hydrochloride and alkylating agent vinylpyridine

Optimal isoelectric focusing in the alkaline region remains a challenge in two-dimensional gel electrophoresis (2-DE), though various attempts had been made to reduce basic end streaking. The present study reports the application of a novel reduction and alkylation step prior to 2-DE analysis using tris(2-carboxyethyl)-phosphine hydrochloride as a reducing agent and vinylpyridine as an alkylating agent. This simple sample preparation approach effectively eliminates basic end streaks, thereby enabling the analysis and identification of more protein spots resolved by 2-DE.     

Selection of genetically modified cell population using hapten-specific antibody/receptor chimera

Efficient selection of the genetically modified cell population is a critical step to obtain the cells with desired properties. In this study, we propose an antigen-mediated genetically modified cell amplification (AMEGA) system employing an antibody/receptor chimera that triggers a growth signal in response to a non-toxic hapten dimer. An anti-fluorescein single-chain Fv fused to the extracellular D2 domain of erythropoietin receptor and transmembrane/intracellular domains of gp130 was expressed together with a model transgene, enhanced green fluorescent protein (EGFP) downstream of IRES sequence, by retroviral infection to IL-3-dependent Ba/F3 cells. Addition of fluorescein dimers connected by various oligo-DNA linkers induced selective growth of transfectants, thus leading to efficient expansion of EGFP-positive cell population. Also, digestion of the oligonucleotides by specific restriction endonuclease completely suppressed cell growth. Because these hapten dimers are not harmful for normal cells, the approach will be especially useful for reversible in vitro or in vivo expansion of genetically modified cell population employed for cell therapy and tissue engineering.     

The cytosolic, cell surface and extracellular proteomes of the biotechnologically important soil bacterium Corynebacterium efficiens YS-314 in comparison to those of Corynebacterium glutamicum ATCC 13032

Reference maps of the cytosolic, cell surface and extracellular proteome fractions of the amino acid-producing soil bacterium Corynebacterium efficiens YS-314 were established. The analysis window covers a pI range from 3 to 7 along with a molecular mass range from 10 to 130 kDa. After second-dimensional separation on SDS-PAGE and Coomassie staining, computational analysis detected 635 protein spots in the cytosolic proteome fraction, whereas 76 and 102 spots were detected in the cell surface and extracellular proteomes, respectively. By means of MALDI-TOF-MS and tryptic peptide mass fingerprinting, 164 cytosolic proteins, 49 proteins of the cell surface and 89 extracellular protein spots were identified, representing in total 177 different proteins. Additionally, reference maps of the three cellular proteome fractions of the close phylogenetic relative Corynebacterium glutamicum ATCC 13032 were generated and used for comparative proteomics. Classification according to the Clusters of Orthologous Groups of proteins scheme and abundance analysis of the identified proteins revealed species-specific differences. The high abundance of molecular chaperones and amino acid biosynthesis enzymes in C. efficiens points to environmental adaptations of this recently discovered amino acid-producing bacterium.     

Effect of a single in ovo injection of 2,3,7,8-tetrachlorodibenzo-p-dioxin on protein expression in liver and ovary of the one-day-old chick analyzed by fluorescent two-dimensional difference gel electrophoresis and mass spectrometry

The polyhalogenated aromatic hydrocarbon 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is an ubiquitously distributed environmental pollutant which can induce a broad spectrum of toxic responses in animals, including birds. In this study, we investigated the impact of 0 or 20 ng TCDD injections into the yolk of chicken eggs before start of development, on liver and ovarian protein expression in hatchlings using fluorescent two-dimensional difference gel electrophoresis (2-D-DIGE) under a pH range of 4-7, combined with MS. Despite considerable interindividual variability, exposure to TCDD prior to the start of embryonic development resulted in significant changes in expression of a small set of proteins. Expression of fibrinogen gamma chain precursor in the liver and 60 kDa heat shock protein in the ovary were significantly higher as a result of the very early exposure to TCDD. NADH ubiquinone oxidoreductase (42 kDa subunit) and regucalcin expression was decreased by early TCDD treatment in the liver and ovary, respectively. These proteins could not be directly linked with drug metabolism per se but are involved in blood clotting, oxidative stress, electron transport, and calcium regulation. It remains to be elucidated how these changes in the hatchling might be linked to the observed long-term consequences during posthatch life of the chicken.     

Multiple augmentation with partial missing regressors

In large cohort studies, it is common that a subset of the regressors may be missing for some study subjects by design or happenstance. In this article, we apply the multiple data augmentation techniques to semiparametric models for epidemiologic data when a subset of the regressors are missing for some subjects, under the assumption that the data are missing at random in the sense of Rubin (2004) and that the missingness probabilities depend jointly on the observable subset of regressors, on a set of observable extraneous variables and on the outcome. Computational algorithms for the Poor Man's and the Asymptotic Normal data augmentations are investigated. Simulation studies show that the data augmentation approach generates satisfactory estimates and is computationally affordable. Under certain simulation scenarios, the proposed approach can achieve asymptotic efficiency similar to the maximum likelihood approach. We apply the proposed technique to the Multi-Ethic Study of Atherosclerosis (MESA) data and the South Wales Nickel Worker Study data.     

Statistics for disinterested scientists.

This paper presents a brief introduction to some basic statistical tools and techniques with examples applied to biological data. Perhaps after becoming more familiar with statistics and more appreciative of their power in extracting information from data the previously fearful and skeptical researcher may be more inclined to make them an integral part of his research technique and also include them in his publications. For problems of greater difficulty, consultation at the early stages, preferably before undertaking the project, with a good biostatistician is suggested.     

Molecular modeling of hair keratin/peptide complex: Using MM-PBSA calculations to describe experimental binding results

Molecular dynamics simulations of a keratin/peptide complex have been conducted to predict the binding affinity of four different peptides toward human hair. Free energy calculations on the peptides' interaction with the keratin model demonstrated that electrostatic interactions are believed to be the main driving force stabilizing the complex. The molecular mechanics-Poisson-Boltzmann surface area methodology used for the free energy calculations demonstrated that the dielectric constant in the protein's interior plays a major role in the free energy calculations, and the only way to obtain accordance between the free energy calculations and the experimental binding results was to use the average dielectric constant.