Uncoated endocytic vesicles require the unconventional myosin, Myo6, for rapid transport through actin barriers

After clathrin-mediated endocytosis, clathrin removal yields an uncoated vesicle population primed for fusion with the early endosome. Here we present the first characterization of uncoated vesicles and show that myo6, an unconventional myosin, functions to move these vesicles out of actin-rich regions found in epithelial cells. Time-lapse microscopy revealed that myo6-associated uncoated vesicles were motile and exhibited fusion and stretching events before endosome delivery, processes that were dependent on myo6 motor activity. In the absence of myo6 motor activity, uncoated vesicles remained trapped in the actin mesh, where they exhibited Brownian-like motion. Exit from the actin mesh occurred by a slow diffusion-based mechanism, delaying transferrin trafficking to the early endosome. Expression of a myo6 mutant that bound tightly to F-actin produced immobilized vesicles and blocked trafficking. Depolymerization of the actin cytoskeleton rescued this block and specifically accelerated transferrin delivery to the early endosome without affecting earlier steps in endocytosis. Therefore actin is a physical barrier impeding uncoated vesicle trafficking, and myo6 is recruited to move the vesicles through this barrier for fusion with the early endosome.     

Atypical recognition of particular DNA sequences by the archaeal chromosomal MC1 protein

The MC1 protein is a chromosomal protein likely involved in the DNA compaction of some methanogenic archaea. This small and monomeric protein, structurally unrelated to other DNA binding proteins, bends DNA sharply. By studying the protein binding to various kinds of kinked DNA, we have previously shown that MC1 is able to discriminate between different deformations of the DNA helix. Here we investigate its capacity to recognize particular DNA sequences by using a SELEX procedure. We find that MC1 is able to preferentially bind to a 15 base pair motif [AAAAACACAC(A/C)CCCC]. The structural parameters of this sequence are characterized by molecular dynamics simulation experiments, and the binding mode of the protein to the DNA is studied by footprinting experiments. Our results strongly suggest that the protein realizes an indirect readout of the DNA sequence by binding to the DNA minor groove.     

In vitro and in silico processes to identify differentially expressed proteins

We present an integrated proteomics platform designed for performing differential analyses. Since reproducible results are essential for comparative studies, we explain how we improved reproducibility at every step of our laboratory processes, e.g. by taking advantage of the powerful laboratory information management system we developed. The differential capacity of our platform is validated by detecting known markers in a real sample and by a spiking experiment. We introduce an innovative two-dimensional (2-D) plot for displaying identification results combined with chromatographic data. This 2-D plot is very convenient for detecting differential proteins. We also adapt standard multivariate statistical techniques to show that peptide identification scores can be used for reliable and sensitive differential studies. The interest of the protein separation approach we generally apply is justified by numerous statistics, complemented by a comparison with a simple shotgun analysis performed on a small volume sample. By introducing an automatic integration step after mass spectrometry data identification, we are able to search numerous databases systematically, including the human genome and expressed sequence tags. Finally, we explain how rigorous data processing can be combined with the work of human experts to set high quality standards, and hence obtain reliable (false positive < 0.35%) and nonredundant protein identifications.     

Physiological and molecular characterization of salt response of <Emphasis Type="Italic">Arabidopsis thaliana NOK2</Emphasis> ecotype

Arabidopsis thaliana is a glycophyte capable to tolerate mild salinity. Although salt sensitivity of this species, a variability of this characteristic was revealed between different ecotypes. This study presents the physiological and molecular characteristics of salt response of two ecotypes, NOK2 and Columbia (Col). Seedlings were cultivated in hydroponics in the presence of 0 or 50 mM NaCl during 25 days. Rosette leaf samples were collected after 19, 22, and 25 days for determination of physiological parameters, and after 18 days for study of DNA polymorphism. Salt treatment decreased rosette dry matter, leaf number, leaf hydration, and leaf surface area. All these effects were significantly more visible in Col than in NOK2. Moreover, the NOK2 leaves accumulated less Na⁺ and more K⁺ than those of Col. DNA polymorphism between the two ecotypes was analyzed with codominant molecular markers based on PCR amplification, namely, microsatellites, cleaved amplified polymorphism sequence (CAPS), and single nucleotide polymorphism markers (SNP). Among the 35 tested markers, 17 showed a clear polymorphism and were distributed on the five Arabidopsis chromosomes ending with a genetic map construction. These results could play an important role in the future establishment of cartography of candidate gene controlling the K⁺/Na⁺ selectivity of ion transport in leaves, a component of plant salt tolerance.     

Importance of Operational Factors in the Reproducibility of Aspergillus Galactomannan Enzyme Immune Assay

Background

The Platelia Aspergillus Ag assay (Bio-Rad) is designed for detecting Aspergillus galactomannan (GM) and is widely used for diagnosing invasive aspergillosis but is hampered by variable occurrences of unreproducible positive results. Frequency and origin of these unreproducible results have not been formally studied.

Methods

Different technicians simultaneously performed four tests on 550 consecutive sera from adult patients (Test#1-Test#2 for extraction#1 and Test#3-Test#4 for extraction#2). The samples were classified as confirmed negative [all tests with GM optical density index (GM-ODI) <0.5], confirmed positive (all tests with GM-ODI ≥0.5), extraction unreproducible positive (Test#1 and Test#2 ODIs ≥0.5, and Test#3 and Test#4 GM-ODIs <0.5, or conversely), and ELISA unreproducible positive (only one test with GM-ODI ≥0.5). The samples with positive and negative GM-ODIs within the assay coefficient of variation values were classified as non-conclusive. Four similar additional tests were performed after ≤72h storage at 4°C and a new GM test after 8 months at -20°C.

Results

Five-hundred-twenty sera (94.5%) were confirmed negative, 15 (2.7%) confirmed positive, 4 (0.7%) extraction unreproducible positive, 6 (1.1%) ELISA unreproducible positive, and 5 (0.9%) non-conclusive. Upon retesting, the unreproducible positive results turned negative except for one which turned non-conclusive. The confirmed positive and non-conclusive had similar GM-ODIs (p>0.4) upon retesting after storage ≤72h at 4°C (n = 20) or eight months at -20°C (n = 17).

Conclusions

Operational unreproducible positives represent 33% of the GM-positive results and a second sample evaluation appears mandatory to avoid useless investigations or treatments. When operational artifacts are excluded, GM remains stable at standard storage conditions.     

A Comprehensive Review of Swarm Optimization Algorithms

Many swarm optimization algorithms have been introduced since the early 60’s, Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms have demonstrated their potential to solve many optimization problems. This paper provides an in-depth survey of well-known optimization algorithms. Selected algorithms are briefly explained and compared with each other comprehensively through experiments conducted using thirty well-known benchmark functions. Their advantages and disadvantages are also discussed. A number of statistical tests are then carried out to determine the significant performances. The results indicate the overall advantage of Differential Evolution (DE) and is closely followed by Particle Swarm Optimization (PSO), compared with other considered approaches.     

A Multivariate Genome-Wide Association Analysis of 10 LDL Subfractions,and Their Response to Statin Treatment,in 1868 Caucasians

We conducted a genome-wide association analysis of 7 subfractions of low density lipoproteins (LDLs) and 3 subfractions of intermediate density lipoproteins (IDLs) measured by gradient gel electrophoresis, and their response to statin treatment, in 1868 individuals of European ancestry from the Pharmacogenomics and Risk of Cardiovascular Disease study. Our analyses identified four previously-implicated loci (SORT1, APOE, LPA, and CETP) as containing variants that are very strongly associated with lipoprotein subfractions (log₁₀Bayes Factor > 15). Subsequent conditional analyses suggest that three of these (APOE, LPA and CETP) likely harbor multiple independently associated SNPs. Further, while different variants typically showed different characteristic patterns of association with combinations of subfractions, the two SNPs in CETP show strikingly similar patterns - both in our original data and in a replication cohort - consistent with a common underlying molecular mechanism. Notably, the CETP variants are very strongly associated with LDL subfractions, despite showing no association with total LDLs in our study, illustrating the potential value of the more detailed phenotypic measurements. In contrast with these strong subfraction associations, genetic association analysis of subfraction response to statins showed much weaker signals (none exceeding log₁₀Bayes Factor of 6). However, two SNPs (in APOE and LPA) previously-reported to be associated with LDL statin response do show some modest evidence for association in our data, and the subfraction response proles at the LPA SNP are consistent with the LPA association, with response likely being due primarily to resistance of Lp(a) particles to statin therapy. An additional important feature of our analysis is that, unlike most previous analyses of multiple related phenotypes, we analyzed the subfractions jointly, rather than one at a time. Comparisons of our multivariate analyses with standard univariate analyses demonstrate that multivariate analyses can substantially increase power to detect associations. Software implementing our multivariate analysis methods is available at http://stephenslab.uchicago.edu/software.html.     

Carnitine and acylcarnitine profiles in dried blood spots of patients with acute myocardial infarction

Earlier studies have suggested an important role of carnitine pathway in cardiovascular pathology. However, the redistribution of carnitine and acylcarnitine pools, as a result of altered carnitine metabolism, is not clearly known in patients with acute myocardial infarction (AMI). We compared the carnitine and acylcarnitine profiles of 65 AMI patients, including 26 ST-elevated myocardial infarction (STEMI) and 39 non-ST-elevated myocardial infarction (NSTEMI), 28 patients with chest pain and 154 normal controls. The levels of carnitine and acylcarnitines in the blood spots were determined using LC-MS/MS. Total and free carnitine levels were significantly higher in all the patient groups in the following order: STEMI > NSTEMI > chest pain. The levels of short- and medium-chain acylcarnitines were significantly higher in patient groups. Among the long-chain acylcarnitines, C14:2 and C16:1 levels were significantly increased in STEMI and NSTEMI. The ratio of free carnitine to short-chain or medium-chain acylcarnitines was significantly decreased in STEMI, NSTEMI and chest pain patients however a significant increase was observed in the ratio of carnitine to long-chain acylcarnitines in all the patient groups as compared to normal controls. In conclusion, alterations in carnitine and acylcarnitine levels in the blood of AMI patients indicate the possibility of impaired carnitine homeostasis in ischemic myocardium. The clinical implications of these findings for the risk screening or diagnosis and prognosis of AMI require additional follow-up studies on large number of patients. We also suggest that a dual-marker strategy using carnitine (longer plasma half-life) in combination with troponin (shorter plasma half-life) could be a more promising biomarker strategy in risk stratification of patients.