17 research outputs found

    Investigating transmembrane-lipid interactions of EphA2 and pH responsive peptides

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    Single-pass membrane receptor signaling plays vital roles in human development and maintaining homeostasis. These membrane receptors can also have causative functions in several diseases including cancer. Much is known about the structure and signaling outcomes of these receptors but the mechanistic details of how they pass an extracellular signal across the membrane and into cytoplasm via the transmembrane (TM) domain is unclear. It is further unknown how or if interactions with membrane lipids facilitate and/or regulate these events. Here we use the TYPE7 peptide to target the TM region of a receptor tyrosine kinase, EphA2. EphA2 engages in both tumorigenic (ligand-independent) and anti-tumorigenic (ligand-dependent) signaling making it an attractive drug target. From TYPE7 we learned that the activity of EphA2 could be modulated by interactions with a TM peptide. Findings from TYPE7 (Chapter II), lead to hypotheses about the signaling states of EphA2 and interactions with anionic lipids. We next demonstrated (Chapter III) that there is a TM conformation-specific coupling of juxtamembrane residues of EphA2 with PIP2 [phosphatidylinositol 4,5-bisphosphate]. Our data suggests that PIP2 promotes dimerization of EphA2 in the ligand-independent state, potentially regulating tumorigenic signaling. These findings add to the knowledge of the molecular events of EphA2 signal transduction which is vital to designing effective therapeutics. Finally, we investigated the effects that TM peptides can have on their lipid environments. We developed (Chapter IV) a fluorescence recovery after photobleaching (FRAP) protocol and an automated data analysis pipeline using programs written in Python and Mathematica languages for the determination of lipid diffusion coefficients. We used the pH responsive peptide (pHLIP) as a model TM domain and FRAP in supported lipid bilayers to investigate the effect of pHLIP on the rate of lipid diffusion

    Social Competitiveness and Plasticity of Neuroendocrine Function in Old Age: Influence of Neonatal Novelty Exposure and Maternal Care Reliability

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    Early experience is known to have a profound impact on brain and behavioral function later in life. Relatively few studies, however, have examined whether the effects of early experience remain detectable in the aging animal. Here, we examined the effects of neonatal novelty exposure, an early stimulation procedure, on late senescent rats' ability to win in social competition. During the first 3 weeks of life, half of each litter received daily 3-min exposures to a novel environment while the other half stayed in the home cage. At 24 months of age, pairs of rats competed against each other for exclusive access to chocolate rewards. We found that novelty-exposed rats won more rewards than home-staying rats, indicating that early experience exerts a life-long effect on this aspect of social dominance. Furthermore, novelty-exposed but not home-staying rats exhibited habituation of corticosterone release across repeated days of social competition testing, suggesting that early experience permanently enhances plasticity of the stress response system. Finally, we report a surprising finding that across individual rat families, greater effects of neonatal novelty exposure on stress response plasticity were found among families whose dams provided more reliable, instead of a greater total quantity of, maternal care

    Concordance between power in logistic regression and slope of power curve given by equation 6.

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    <p>Proportion of scenarios in which observed change in power agreed with predicted slope of chi-square power. The observed change in power is calculated as the sign of the difference of the median likelihood ratio statistic at γca  = 0 and at γca  = 1. 160 parameter values were considered, a subset of the parameter space described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0063481#pone-0063481-t001" target="_blank">table 1</a>. 500 realizations at γca  = 0 and at γca  = 1 of each combination were undertaken to find the median likelihood ratio statistics.</p
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