Role of the proline-rich domain of dynamin-2 and its interactions with Src homology 3 domains during endocytosis of the AT1 angiotensin receptor

In nonneural tissues, the dynamin-2 isoform participates in the formation of clathrin-coated vesicles during receptor endocytosis. In this study, the mechanism of dynamin-2 action was explored during endocytosis of the G protein-coupled AT1A angiotensin receptor expressed in Chinese hamster ovary cells. Dynamin-2 molecules with mutant pleckstrin homology domains or deleted proline-rich domains (PRD) exerted dominant negative inhibition on the endocytosis of radiolabeled angiotensin II. However, only the PRD mutation interfered with the localization of the dynamin-2 molecule to clathrin-coated pits and reduced the inhibitory effect of the GTPase-deficient K44A mutant dynamin-2. Green fluorescent protein-tagged Src homology 3 (SH3) domains of endophilin I and amphiphysin II, two major binding partners of dynamins, also inhibited AT1A receptor-mediated endocytosis of angiotensin II. These effects were partially or fully, respectively, restored by the overexpression of dynamin-2. Transient overexpression of these SH3 domains also reduced the localization of dynamin-2 to clathrin-coated pits. These data indicate that, similar to the recruitment of dynamin-1 during the recycling of synaptic vesicles, interaction of the dynamin-2 PRD with SH3 domains of proteins such as the amphiphysins and endophilins is essential for AT1A receptor endocytosis. This mechanism could be of general importance in dynamin-dependent endocytosis of other G protein-coupled receptors in nonneural tissues.     

Non-Hertzian approach to analyzing mechanical properties of endothelial cells probed by atomic force microscopy

Detailed measurements of cell material properties are required for understanding how cells respond to their mechanical environment. Atomic force microscopy (AFM) is an increasingly popular measurement technique that uniquely combines subcellular mechanical testing with high-resolution imaging. However, the standard method of analyzing AFM indentation data is based on a simplified "Hertz" theory that requires unrealistic assumptions about cell indentation experiments. The objective of this study was to utilize an alternative "pointwise modulus" approach, that relaxes several of these assumptions, to examine subcellular mechanics of cultured human aortic endothelial cells (HAECs). Data from indentations in 2- to 5-microm square regions of cytoplasm reveal at least two mechanically distinct populations of cellular material. Indentations colocalized with prominent linear structures in AFM images exhibited depth-dependent variation of the apparent pointwise elastic modulus that was not observed at adjacent locations devoid of such structures. The average pointwise modulus at an arbitrary indentation depth of 200 nm was 5.6+/-3.5 kPa and 1.5+/-0.76 kPa (mean+/-SD, n=7) for these two material populations, respectively. The linear structures in AFM images were identified by fluorescence microscopy as bundles of f-actin, or stress fibers. After treatment with 4 microM cytochalasin B, HAECs behaved like a homogeneous linear elastic material with an apparent modulus of 0.89+/-0.46 kPa. These findings reveal complex mechanical behavior specifically associated with actin stress fibers that is not accurately described using the standard Hertz analysis, and may impact how HAECs interact with their mechanical environment.     

A topological data analytic approach for discovering biophysical signatures in protein dynamics

Identifying structural differences among proteins can be a non-trivial task. When contrasting ensembles of protein structures obtained from molecular dynamics simulations, biologically-relevant features can be easily overshadowed by spurious fluctuations. Here, we present SINATRA Pro, a computational pipeline designed to robustly identify topological differences between two sets of protein structures. Algorithmically, SINATRA Pro works by first taking in the 3D atomic coordinates for each protein snapshot and summarizing them according to their underlying topology. Statistically significant topological features are then projected back onto a user-selected representative protein structure, thus facilitating the visual identification of biophysical signatures of different protein ensembles. We assess the ability of SINATRA Pro to detect minute conformational changes in five independent protein systems of varying complexities. In all test cases, SINATRA Pro identifies known structural features that have been validated by previous experimental and computational studies, as well as novel features that are also likely to be biologically-relevant according to the literature. These results highlight SINATRA Pro as a promising method for facilitating the non-trivial task of pattern recognition in trajectories resulting from molecular dynamics simulations, with substantially increased resolution.     

Characterization of Hsp70 binding and nucleotide exchange by the yeast Hsp110 chaperone Sse1

SSE1 and SSE2 encode the essential yeast members of the Hsp70-related Hsp110 molecular chaperone family. Both mammalian Hsp110 and the Sse proteins functionally interact with cognate cytosolic Hsp70s as nucleotide exchange factors. We demonstrate here that Sse1 forms high-affinity (Kd approximately 10-8 M) heterodimeric complexes with both yeast Ssa and mammalian Hsp70 chaperones and that binding of ATP to Sse1 is required for binding to Hsp70s. Sse1.Hsp70 heterodimerization confers resistance to exogenously added protease, indicative of conformational changes in Sse1 resulting in a more compact structure. The nucleotide binding domains of both Sse1/2 and the Hsp70s dictate interaction specificity and are sufficient for mediating heterodimerization with no discernible contribution from the peptide binding domains. In support of a strongly conserved functional interaction between Hsp110 and Hsp70, Sse1 is shown to associate with and promote nucleotide exchange on human Hsp70. Nucleotide exchange activity by Sse1 is physiologically significant, as deletion of both SSE1 and the Ssa ATPase stimulatory protein YDJ1 is synthetically lethal. The Hsp110 family must therefore be considered an essential component of Hsp70 chaperone biology in the eukaryotic cell.     

Exploring synonymous codon usage preferences of disulfide-bonded and non-disulfide bonded cysteines in the E. coli genome

High-quality data about protein structures and their gene sequences are essential to the understanding of the relationship between protein folding and protein coding sequences. Firstly we constructed the EcoPDB database, which is a high-quality database of Escherichia coli genes and their corresponding PDB structures. Based on EcoPDB, we presented a novel approach based on information theory to investigate the correlation between cysteine synonymous codon usages and local amino acids flanking cysteines, the correlation between cysteine synonymous codon usages and synonymous codon usages of local amino acids flanking cysteines, as well as the correlation between cysteine synonymous codon usages and the disulfide bonding states of cysteines in the E. coli genome. The results indicate that the nearest neighboring residues and their synonymous codons of the C-terminus have the greatest influence on the usages of the synonymous codons of cysteines and the usage of the synonymous codons has a specific correlation with the disulfide bond formation of cysteines in proteins. The correlations may result from the regulation mechanism of protein structures at gene sequence level and reflect the biological function restriction that cysteines pair to form disulfide bonds. The results may also be helpful in identifying residues that are important for synonymous codon selection of cysteines to introduce disulfide bridges in protein engineering and molecular biology. The approach presented in this paper can also be utilized as a complementary computational method and be applicable to analyse the synonymous codon usages in other model organisms.     

Developing a functional connectivity indicator to detect change in fragmented landscapes

Biodiversity indicators are increasingly used to assess progress towards conservation targets. Particular indicators are required to assess the impacts of habitat fragmentation on landscape connectivity and biodiversity value. This paper recognises that connectivity is best defined by the interaction between species and the landscape in which they occur, and proposes a functional approach to assess connectivity. The approach utilises an incidence function model (IFM) as a spatially explicit method to assess potential species-level connectivity. The standard IFM connectivity measure is modified to account for the influence of the surrounding landscape matrix on edge impacts (through a weighted internal edge buffer) and ecological isolation (through an assessment of least-cost distance to account for landscape permeability). It has been recognised that such patch-based connectivity measures can provide misleading results when used to examine change, as they only focus on between patch movements. As a result, a modified hybrid IFM, based on a combination of patch and cell-based approaches, is developed to account for both within (intra) and between (inter) patch connectivity. The resulting probability of functional connectivity (PFC) indicator was evaluated, alongside a patch-based connectivity measure, through the application to four model landscapes based on changes (2 negative and 2 positive) to a control landscape. The four model landscapes illustrate the impact of landscape change on habitat area, edge impacts and matrix permeability. The proposed PFC indicator successfully discriminated between the two negative and the two positive changes to the control landscape, whereas, the patch-based connectivity measure detected change successfully within three of the four landscapes. The PFC indicator predicted a decrease in intra and inter-patch connectivity following habitat loss and fragmentation (negative change 1), whereas patch-based connectivity measures indicate an increase in connectivity between fragmented patches. The proposed PFC indicator offers the opportunity to take the necessary species-based perspective to examine functional connectivity, incorporating habitat preference, dispersal probability, edge impacts and ecological isolation/permeability. The urgency to assess changes in connectivity and support conservation policy means that there is little time to wait for more complete data. We believe the proposed approach provides a robust balance between the data required and the biologically meaningful indicator produced.     

Design,synthesis and evaluation of constrained tetrahydroimidazopyrimidine derivatives as antagonists of corticotropin-releasing factor type 1 receptor (CRF1R)

Several tetrahydroimidazopyrimidines were prepared using silver assisted cyclization as the key step. The binding affinities of compounds thus prepared were evaluated in vitro toward hCRF₁R. Initial lead compound 16 (K_i = 32 nM) demonstrated modest putative anxiolytic effects in the mouse canopy test. Further optimization using parallel synthesis provided compounds with K_i’s <50 nM.