PubMed · 12697540
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P Watts, D R Carrier. 2000. Human flight and exercise in microgravity.. https://pubmed.ncbi.nlm.nih.gov/12697540/
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We report on the dynamics of fluorescence from individual molecules of a mutant of the wild-type green fluorescent protein (GFP) from Aequorea victoria, super folder GFP (SFGFP). SFGFP is a novel and robust variant designed for in vivo high-throughput screening of protein expression levels. It shows increased thermal stability and is able to retain its fluorescence when fused to poorly folding proteins. We use a recently developed single-molecule technique which combines fluorescence-fluctuation spectroscopy and time-correlated single photon counting in order to characterize the photophysical properties of SFGFP under one- (OPE) and two- (TPE) photon excitation conditions. We use Rhodamine 110 as a model chromophore to validate the methodology and to explain the single-molecule results of SFGFP. Under OPE, single SFGFP molecules undergo fluorescence flickering on the time scale of micros and tens of micros due to triplet formation and ground-state protonation-deprotonation, respectively, as demonstrated by excitation intensity- and pH-dependent experiments. OPE single-molecule fluorescence lifetimes indicate heterogeneity in the population of SFGFP, indicating the presence of the deprotonated I and B forms of the SFGFP chromophore. TPE of single SFGFP molecules results in the photoconversion of the chromophore. TPE of single SFGFP molecules show fluorescence flickering on the time scale of micros due to triplet formation. A flicker connected with protonation-deprotonation of the SFGFP chromophore is detected only at low pH. Our results show that SFGFP is a promising fusion reporter for intracellular applications using OPE and TPE microscopy.
It has recently been demonstrated that many biological networks exhibit a "scale-free" topology, for which the probability of observing a node with a certain number of edges (k) follows a power law: i.e., p(k) approximately k(-gamma). This observation has been reproduced by evolutionary models. Here we consider the network of protein-protein interactions (PPIs) and demonstrate that two published independent measurements of these interactions produce graphs that are only weakly correlated with one another despite their strikingly similar topology. We then propose a physical model based on the fundamental principle that (de)solvation is a major physical factor in PPIs. This model reproduces not only the scale-free nature of such graphs but also a number of higher-order correlations in these networks. A key support of the model is provided by the discovery of a significant correlation between the number of interactions made by a protein and the fraction of hydrophobic residues on its surface. The model presented in this paper represents a physical model for experimentally determined PPIs that comprehensively reproduces the topological features of interaction networks. These results have profound implications for understanding not only PPIs but also other types of scale-free networks.
Mechanical folding trajectories for polyproteins starting from initially stretched conformations generated by single-molecule atomic force microscopy experiments [Fernandez, J. M. & Li, H. (2004) Science 303, 1674-1678] show that refolding, monitored by the end-to-end distance, occurs in distinct multiple stages. To clarify the molecular nature of folding starting from stretched conformations, we have probed the folding dynamics, upon force quench, for the single I27 domain from the muscle protein titin by using a C(alpha)-Go model. Upon temperature quench, collapse and folding of I27 are synchronous. In contrast, refolding from stretched initial structures not only increases the folding and collapse time scales but also decouples the two kinetic processes. The increase in the folding times is associated primarily with the stretched state to compact random coil transition. Surprisingly, force quench does not alter the nature of the refolding kinetics, but merely increases the height of the free-energy folding barrier. Force quench refolding times scale as tau(F) approximately tau(F)(0)exp(f(q)Deltax(f)/k(B)T), where Deltax(f) approximately 0.6 nm is the location of the average transition state along the reaction coordinate given by end-to-end distance. We predict that tau(F) and the folding mechanism can be dramatically altered by the initial and/or final values of force. The implications of our results for design and analysis of experiments are discussed.