Molecular basis for dimer formation of TRbeta variant D355R

Protein quality and stability are critical during protein purification for X-ray crystallography. A target protein that is easy to manipulate and crystallize becomes a valuable product useful for high-throughput crystallography for drug design and discovery. In this work, a single surface mutation, D355R, was shown to be crucial for converting the modestly stable monomeric ligand binding domain of the human thyroid hormone receptor (TR LBD) into a stable dimer. The structure of D335R TR LBD mutant was solved using X-ray crystallography and refined to 2.2 A resolution with R(free)/R values of 24.5/21.7. The crystal asymmetric unit reveals the TR dimer with two molecules of the hormone-bound LBD related by twofold symmetry. The ionic interface between the two LBDs comprises residues within loop H10-H11 and loop H6-H7 as well as the C-terminal halves of helices 8 of both protomers. Direct intermolecular contacts formed between the introduced residue Arg 355 of one TR molecule and Glu 324 of the second molecule become a part of the extended dimerization interface of 1330 A(2) characteristic for a strong complex assembly that is additionally strengthened by buffer solutes.     

Free‐energy function based on an all‐atom model for proteins

We have developed a free‐energy function based on an all‐atom model for proteins. It comprises two components, the hydration entropy (HE) and the total dehydration penalty (TDP). Upon a transition to a more compact structure, the number of accessible configurations arising from the translational displacement of water molecules in the system increases, leading to a water‐entropy gain. To fully account for this effect, the HE is calculated using a statistical‐mechanical theory applied to a molecular model for water. The TDP corresponds to the sum of the hydration energy and the protein intramolecular energy when a fully extended structure, which possesses the maximum number of hydrogen bonds with water molecules and no intramolecular hydrogen bonds, is chosen as the standard one. When a donor and an acceptor (e.g., N and O, respectively) are buried in the interior after the break of hydrogen bonds with water molecules, if they form an intramolecular hydrogen bond, no penalty is imposed. When a donor or an acceptor is buried with no intramolecular hydrogen bond formed, an energetic penalty is imposed. We examine all the donors and acceptors for backbone‐backbone, backbone‐side chain, and side chain‐side chain intramolecular hydrogen bonds and calculate the TDP. Our free‐energy function has been tested for three different decoy sets. It is better than any other physics‐based or knowledge‐based potential function in terms of the accuracy in discriminating the native fold from misfolded decoys and the achievement of high Z‐scores. Proteins 2009. © 2009 Wiley‐Liss, Inc.     

Computational protein design with side-chain conformational entropy

Recent advances in modeling protein structures at the atomic level have made it possible to tackle "de novo" computational protein design. Most procedures are based on combinatorial optimization using a scoring function that estimates the folding free energy of a protein sequence on a given main-chain structure. However, the computation of the conformational entropy in the folded state is generally an intractable problem, and its contribution to the free energy is not properly evaluated. In this article, we propose a new automated protein design methodology that incorporates such conformational entropy based on statistical mechanics principles. We define the free energy of a protein sequence by the corresponding partition function over rotamer states. The free energy is written in variational form in a pairwise approximation and minimized using the Belief Propagation algorithm. In this way, a free energy is associated to each amino acid sequence: we use this insight to rescore the results obtained with a standard minimization method, with the energy as the cost function. Then, we set up a design method that directly uses the free energy as a cost function in combination with a stochastic search in the sequence space. We validate the methods on the design of three superficial sites of a small SH3 domain, and then apply them to the complete redesign of 27 proteins. Our results indicate that accounting for entropic contribution in the score function affects the outcome in a highly nontrivial way, and might improve current computational design techniques based on protein stability.     

How to monitor elusive lizards: comparison of capture–recapture methods on giant day geckos (Gekkonidae, Phelsuma madagascariensis grandis) in the Masoala rainforest exhibit, Zurich Zoo

Rapid and reliable estimation of population size is needed for the efficient monitoring of animal populations of conservation concern. Unfortunately, technical advances in this area have not been paralleled in uptake in conservation, which may be due to difficulties in implementation or the lack of general guidelines for application. Here we tested five different methods used to estimate population size [capture–mark–recapture (CMR), finite-mixture models, model averaging of finite-mixture models, accumulation curve methods (ACM), and the line transect method (LT)] using extensive capture–recapture data of the giant day gecko (Gekkonidae, Phelsuma madagascariensis grandis, Gray 1870) at the Masoala rainforest exhibit, Zurich Zoo. When the complete data were analyzed [30 sessions (and 27 sessions for the LT)], all methods except the LT produced similar estimates of population size. The simple ACM gave a small coefficient of variation (CV), but did not cover the most likely value of population size at moderate sampling effort. Nevertheless, the ACM was the only method that showed a reasonable convergence when subsets of data were used. CMR and Pledger models included the reference value in their confidence intervals (CI) after 25 and 30 sessions, respectively. Although model averaging did slightly improve the estimate, the CV was still high for the full dataset. Our method of using subsets of data to test the robustness of estimates is simple to apply and could be adopted more widely in such analyzes to evaluate sensitivity to method of evaluation. In conclusion, simple accumulation methods showed similar efficiency to more complex statistical models, and are likely to be sufficiently precise for most conservation monitoring purposes. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Intracellular dynamics of topoisomerase I inhibitor,CPT-11, by slit-scanning confocal Raman microscopy

Most molecular imaging technologies require exogenous probes and may have some influence on the intracellular dynamics of target molecules. In contrast, Raman scattering light measurement can identify biomolecules in their innate state without application of staining methods. Our aim was to analyze intracellular dynamics of topoisomerase I inhibitor, CPT-11, by using slit-scanning confocal Raman microscopy, which can take Raman images with high temporal and spatial resolution. We could acquire images of the intracellular distribution of CPT-11 and its metabolite SN-38 within several minutes without use of any exogenous tags. Change of subcellular drug localization after treatment could be assessed by Raman imaging. We also showed intracellular conversion from CPT-11 to SN-38 using Raman spectra. The study shows the feasibility of using slit-scanning confocal Raman microscopy for the non-labeling evaluation of the intracellular dynamics of CPT-11 with high temporal and spatial resolution. We conclude that Raman spectromicroscopic imaging is useful for pharmacokinetic studies of anticancer drugs in living cells. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Evaluation of sample preparation methods for the analysis of papaya leaf proteins through two‐dimensional gel electrophoresis

Introduction – A variety of sample preparation protocols for plant proteomic analysis using two‐dimensional gel electrophoresis (2‐DE) have been reported. However, they usually have to be adapted and further optimised for the analysis of plant species not previously studied. Objective – This work aimed to evaluate different sample preparation protocols for analysing Carica papaya L. leaf proteins through 2‐DE. Methodology – Four sample preparation methods were tested: (1) phenol extraction and methanol–ammonium acetate precipitation; (2) no precipitation fractionation; and the traditional trichloroacetic acid–acetone precipitation either (3) with or (4) without protein fractionation. The samples were analysed for their compatibility with SDS–PAGE (1‐DE) and 2‐DE. Fifteen selected protein spots were trypsinised and analysed by matrix‐assisted laser desorption/ionisation time‐of‐flight tandem mass spectrometry (MALDI‐TOF‐MS/MS), followed by a protein search using the NCBInr database to accurately identify all proteins. Results – Methods number 3 and 4 resulted in large quantities of protein with good 1‐DE separation and were chosen for 2‐DE analysis. However, only the TCA method without fractionation (no. 4) proved to be useful. Spot number and resolution advances were achieved, which included having an additional solubilisation step in the conventional TCA method. Moreover, most of the theoretical and experimental protein molecular weight and pI data had similar values, suggesting good focusing and, most importantly, limited protein degradation. Conclusion – The described sample preparation method allows the proteomic analysis of papaya leaves by 2‐DE and mass spectrometry (MALDI‐TOF‐MS/MS). The methods presented can be a starting point for the optimisation of sample preparation protocols for other plant species. Copyright © 2009 John Wiley & Sons, Ltd.     

Combined MRI–PET dissects dynamic changes in plant structures and functions

Unravelling the factors determining the allocation of carbon to various plant organs is one of the great challenges of modern plant biology. Studying allocation under close to natural conditions requires non-invasive methods, which are now becoming available for measuring plants on a par with those developed for humans. By combining magnetic resonance imaging (MRI) and positron emission tomography (PET), we investigated three contrasting root/shoot systems growing in sand or soil, with respect to their structures, transport routes and the translocation dynamics of recently fixed photoassimilates labelled with the short-lived radioactive carbon isotope ¹¹C. Storage organs of sugar beet ( Beta vulgaris ) and radish plants ( Raphanus sativus ) were assessed using MRI, providing images of the internal structures of the organs with high spatial resolution, and while species-specific transport sectoralities, properties of assimilate allocation and unloading characteristics were measured using PET. Growth and carbon allocation within complex root systems were monitored in maize plants ( Zea mays ), and the results may be used to identify factors affecting root growth in natural substrates or in competition with roots of other plants. MRI–PET co-registration opens the door for non-invasive analysis of plant structures and transport processes that may change in response to genomic, developmental or environmental challenges. It is our aim to make the methods applicable for quantitative analyses of plant traits in phenotyping as well as in understanding the dynamics of key processes that are essential to plant performance.     

Highly hydroxylated or γ-cyclodextrin-bicapped water-soluble derivative of fullerene: The antioxidant ability assessed by electron spin resonance method and β-carotene bleaching assay

Antioxidant ability of the water-soluble derivative of fullerene (C60), prepared by high-degree hydroxylation [C60-(OH)₃₂·8H₂O] or C60/γ-cyclodextrin (1:2 mol/mol) clathrate formation [C60/(γ-CD)₂], was assessed by electron spin resonance method and β-carotene bleaching assay. These C60 derivatives have an ability to diminish a 1:2:2:1 quartet ESR spectrum attributed to hydroxyl radicals (OH) as shown by DMPO-spin trap/ESR method. Meanwhile, a singlet radical-signal different from OH-attributed signals increased in a manner dependent on concentrations of C60-(OH)₃₂·8H₂O. This might suggest that C60-(OH)₃₂·8H₂O scavenges OH owing to dehydrogenation of C60-(OH)₃₂·8H₂O, and is simultaneously oxidized to a stable radical species, which may be a dehydrogenated fullerenol radical (C60-O). Furthermore, these water-soluble derivatives of C60 suppressed fading of yellowish color characteristic of intact β-carotene in β-carotene bleaching assay. Antioxidant abilities of these derivatives were assessed as retention of yellowish color (viz absorbance at 470 nm) for 180 min. Namely, β-carotene-attributed chromaticity (% relative absorbance at 470 nm compared with the control) after 180 min was 69% for C60-(OH)₃₂·8H₂O (400 μM: C60-eq.), and 32% for C60/(γ-CD)₂ (400 μM: C60-eq.), whereas it was 6% for l(+)-ascorbic acid (400 μM) which is hydrophilic, and 85% for (±)-α-tocopherol (400 μM) which is lipophilic, respectively. Thus C60-(OH)₃₂·8H₂O and C60/(γ-CD)₂ can scavenge OH, and have a distinct antioxidative activity in the aqueous system containing linoleic acid which is abundantly contained in the cell membrane together with other unsaturated lipids. These C60 derivatives have a potential to protect the cell membrane from oxidative stress due to OH.