A Flexible Nanoarray Approach for the Assembly and Probing of Molecular Complexes

Immobilization is a key step involved in probing molecular interactions using single-molecule force spectroscopy methods, including atomic force microscopy (AFM). To our knowledge, we describe a novel approach termed flexible nanoarray (FNA) in which the interaction between the two internally immobilized amyloid β peptides is measured by pulling of the tether. The FNA tether was synthesized with nonnucleotide phosphoramidite monomers using the DNA synthesis chemistry. The two anchoring points for immobilization of the peptides inside the tether were incorporated at defined distances between them and from the ends of the polymer. Decamers of amyloid β peptide capable of dimer formation were selected as a test system. The formation of the peptide dimers was verified by AFM force spectroscopy by pulling the tether at the ends. In these experiments, the thiolated end of the FNA tether was covalently immobilized on the AFM substrate functionalized with maleimide. The other end of the FNA tether was functionalized with biotin to form a noncovalent link with the streptavidin functionalized AFM tip during the approach stage. The dimers’ rupture fingerprint was unambiguously identified on the force curves by its position and the force value. The FNA design allowed reversible experiments in which the monomers were allowed to associate after the rupture of the dimers by performing the approach stage before the rupture of the biotin-streptavidin link. This suggests that the FNA technique is capable of analyzing multiple intermolecular interactions in the same molecular complex. The computational analysis showed that the tethered peptides assemble into the same dimer structure as that formed by nontethered peptides, suggesting that the FNA tether has the necessary flexibility to enable assembly of the dimer even during the course of the force spectroscopy experiment.     

The Cytoplasmic Domain of A Disintegrin and Metalloproteinase 10 (ADAM10) Regulates Its Constitutive Activity but Is Dispensable for Stimulated ADAM10-dependent Shedding

The membrane-anchored metalloproteinase a disintegrin and metalloprotease 10 (ADAM10) is required for shedding of membrane proteins such as EGF, betacellulin, the amyloid precursor protein, and CD23 from cells. ADAM10 is constitutively active and can be rapidly and post-translationally enhanced by several stimuli, yet little is known about the underlying mechanism. Here, we use ADAM10-deficient cells transfected with wild type or mutant ADAM10 to address the role of its cytoplasmic and transmembrane domain in regulating ADAM10-dependent protein ectodomain shedding. We report that the cytoplasmic domain of ADAM10 negatively regulates its constitutive activity through an ER retention motif but is dispensable for its stimulated activity. However, chimeras with the extracellular domain of ADAM10 and the transmembrane domain of ADAM17 with or without the cytoplasmic domain of ADAM17 show reduced stimulated shedding of the ADAM10 substrate betacellulin, whereas the ionomycin-stimulated shedding of the ADAM17 substrates CD62-L and TGFα is not affected. Moreover, we show that influx of extracellular calcium activates ADAM10 but is not essential for its activation by APMA and BzATP. Finally, the rapid stimulation of ADAM10 is not significantly affected by incubation with proprotein convertase inhibitors for up to 8 h, arguing against a major role of increased prodomain removal in the rapid stimulation of ADAM10. Thus, the cytoplasmic domain of ADAM10 negatively influences constitutive shedding through an ER retention motif, whereas the cytoplasmic domain and prodomain processing are not required for the rapid activation of ADAM10-dependent shedding events.     

Persistence of accuracy of genomic estimated breeding values over generations in layer chickens

Background

The predictive ability of genomic estimated breeding values (GEBV) originates both from associations between high-density markers and QTL (Quantitative Trait Loci) and from pedigree information. Thus, GEBV are expected to provide more persistent accuracy over successive generations than breeding values estimated using pedigree-based methods. The objective of this study was to evaluate the accuracy of GEBV in a closed population of layer chickens and to quantify their persistence over five successive generations using marker or pedigree information.

Methods

The training data consisted of 16 traits and 777 genotyped animals from two generations of a brown-egg layer breeding line, 295 of which had individual phenotype records, while others had phenotypes on 2,738 non-genotyped relatives, or similar data accumulated over up to five generations. Validation data included phenotyped and genotyped birds from five subsequent generations (on average 306 birds/generation). Birds were genotyped for 23,356 segregating SNP. Animal models using genomic or pedigree relationship matrices and Bayesian model averaging methods were used for training analyses. Accuracy was evaluated as the correlation between EBV and phenotype in validation divided by the square root of trait heritability.

Results

Pedigree relationships in outbred populations are reduced by 50% at each meiosis, therefore accuracy is expected to decrease by the square root of 0.5 every generation, as observed for pedigree-based EBV (Estimated Breeding Values). In contrast the GEBV accuracy was more persistent, although the drop in accuracy was substantial in the first generation. Traits that were considered to be influenced by fewer QTL and to have a higher heritability maintained a higher GEBV accuracy over generations. In conclusion, GEBV capture information beyond pedigree relationships, but retraining every generation is recommended for genomic selection in closed breeding populations.     

Ligand-dependent differences in estrogen receptor beta-interacting proteins identified in lung adenocarcinoma cells corresponds to estrogenic responses

Background

A recent epidemiological study demonstrated a reduced risk of lung cancer mortality in breast cancer patients using antiestrogens. These and other data implicate a role for estrogens in lung cancer, particularly nonsmall cell lung cancer (NSCLC). Approximately 61% of human NSCLC tumors express nuclear estrogen receptor β (ERβ); however, the role of ERβ and estrogens in NSCLC is likely to be multifactorial. Here we tested the hypothesis that proteins interacting with ERβ in human lung adenocarcinoma cells that respond proliferatively to estradiol (E₂) are distinct from those in non-E₂-responsive cells.

Methods

FLAG affinity purification of FLAG-ERβ-interacting proteins was used to isolate ERβ-interacting proteins in whole cell extracts from E₂ proliferative H1793 and non-E₂-proliferative A549 lung adenocarcinoma cell lines. Following trypsin digestion, proteins were identified using liquid chromatography electrospray ionization tandem mass spectrometry (LC-MS/MS). Proteomic data were analyzed using Ingenuity Pathway Analysis. Select results were confirmed by coimmunoprecipitation.

Results

LC-MS/MS identified 27 non-redundant ERβ-interacting proteins. ERβ-interacting proteins included hsp70, hsp60, vimentin, histones and calmodulin. Ingenuity Pathway Analysis of the ERβ-interacting proteins revealed differences in molecular and functional networks between H1793 and A549 lung adenocarcinoma cells. Coimmunoprecipitation experiments in these and other lung adenocarcinoma cells confirmed that ERβ and EGFR interact in a gender-dependent manner and in response to E₂ or EGF. BRCA1 interacted with ERβ in A549 cell lines and in human lung adenocarcinoma tumors, but not normal lung tissue.

Conclusion

Our results identify specific differences in ERβ-interacting proteins in lung adenocarcinoma cells corresponding to ligand-dependent differences in estrogenic responses.

     

A theoretical entropy score as a single value to express inhibitor selectivity

Background  

Designing maximally selective ligands that act on individual targets is the dominant paradigm in drug discovery. Poor selectivity can underlie toxicity and side effects in the clinic, and for this reason compound selectivity is increasingly monitored from very early on in the drug discovery process. To make sense of large amounts of profiling data, and to determine when a compound is sufficiently selective, there is a need for a proper quantitative measure of selectivity.     

Oral candidosis: characterization of a sample of recurrent infections and study of resistance determinants

Recurrent oral candidosis is a common problem in immunocompromised patients, and it is frequently triggered by resistance induced by antifungal treatment. Knowledge of the mechanisms by which the yeast persists in the host could allow the management of this type of infection. This study used electrophoretic karyotyping and restriction fragment length polymorphism based on the use of 27A probe to study 12 pairs of Candida albicans isolates from patients with recurrent candidosis to distinguish new infections from relapses caused by the same strain responsible for the first episode. Subsequently, RT-PCR was used to evaluate expression of CDR1, CDR2 and MDR1 genes, which are involved in C. albicans azole resistance, in the three pairs that consisted of variants of the same strain. Restriction polymorphism resulted in better discrimination than with karyotyping in defining differences between strains. In one case, RT-PCR allowed us to identify deregulation of efflux pump genes as the possible underlying mechanism in recurrent candidosis. The techniques employed resulted effective for the characterization of recurrent oral candidosis. Broader analysis could help to control better these infections and choose adequate therapy.     

Evolutionary history of the Corallinales (Corallinophycidae, Rhodophyta) inferred from nuclear, plastidial and mitochondrial genomes

Systematics of the red algal order Corallinales has a long and convoluted history. In the present study, molecular approaches were used to assess the phylogenetic relationships based on the analyses of two datasets: a large dataset of SSU sequences including mainly sequences from GenBank; and a combined dataset including four molecular markers (two nuclear: SSU, LSU; one plastidial: psbA; and one mitochondrial: COI). Phylogenetic analyses of both datasets re-affirmed the monophyly of the Corallinales as well as the two families (Corallinaceae and Hapalidiaceae) currently recognized within the order. Three of the four subfamilies of the Corallinaceae (Corallinoideae, Lithophylloideae, Metagoniolithoideae) were also resolved as a monophyletic lineage whereas members of the Mastophoroideae were resolved as four distinct lineages. We therefore propose to restrict the Mastophoroideae to the genera Mastophora, Metamastophora, and possibly Lithoporella in the aim of rendering this subfamily monophyletic. In addition, our phylogenies resolved the genus Hydrolithon in two unrelated lineages, one containing the generitype Hydrolithon reinboldii and the second containing Hydrolithon onkodes, which used to be the generitype of the now defunct genus Porolithon. We therefore propose to resurrect the genus Porolithon for the second lineage encompassing those species with primarily monomerous thalli, and trichocyte arrangements in large pustulate horizontal rows. Moreover, our phylogenetic analyses revealed the presence of cryptic diversity in several taxa, shedding light on the need for further studies to better circumscribe species frontiers within the diverse order Corallinales, especially in the genera Mesophyllum and Neogoniolithon.     

Proteomic analysis of oligodendrogliomas expressing a mutant isocitrate dehydrogenase-1

Gliomas are primary tumors of the human central nervous system with unknown mechanisms of progression. Isocitrate dehydrogenase-1 (IDH1) mutation is frequent in diffuse gliomas such as oligodendrogliomas. To gain insights into the physiopathology of oligodendrogliomas that have a better prognosis than other diffuse gliomas, we combined microdissection, 2-D DIGE and MS/MS focusing on proteome alterations associated with IDH1 mutation. We first compared tumor tissues (TT) and minimally infiltrated parenchymal tissues (MIT) of four IDH1-mutated oligodendrogliomas to verify whether proteins specific to oligodendroglioma tumor cells could be identified from one patient to another. This study resulted in identification of 68 differentially expressed proteins, with functions related to growth of tumor cells in a nervous parenchyma. We then looked for proteins distinctly expressed in TT harboring either mutant (oligodendrogliomas, n=4) or wild-type IDH1 (oligodendroglial component of malignant glio-neuronal tumors, n=4). This second analysis resulted in identification of distinct proteome patterns composed of 42 proteins. Oligodendrogliomas with a mutant IDH1 had noteworthy enhanced expression of enzymes controlling aerobic glycolysis and detoxification, and anti-apoptosis proteins. In addition, the mutant IDH1 migrated differently from the wild-type IDH1 form. Comparative proteomic analysis might thus be suitable to identify proteome alterations associated with a well-defined mutation.     

Plant virus RNAs. Coordinated recruitment of conserved host functions by (+) ssRNA viruses during early infection events

Positive-sense single-stranded RNA viruses have developed strategies to exploit cellular resources at the expense of host mRNAs. The genomes of these viruses display a variety of structures at their 5' and 3' ends that differentiate them from cellular mRNAs. Despite this structural diversity, viral RNAs are still circularized by juxtaposition of their 5' and 3' ends, similar to the process used by cellular mRNAs. Also reminiscent of the mechanisms used by host mRNAs, translation of viral RNAs involves the recruitment of translation initiation factors. However, the roles played by these factors likely differ from those played by cellular mRNAs. In keeping with the general parsimony typical of RNA viruses, these host factors also participate in viral RNA replication. However, the dual use of host factors requires that viral RNA template utilization be regulated to avoid conflict between replication and translation. The molecular composition of the large ribonucleoprotein complexes that form the viral RNA replication and translation machineries likely evolves over the course of infection to allow for switching template use from translation to replication.