Gold and silver plasmonic nanoprobes trace the positions of histone codes

We visualized the distribution of heterochromatin in a single nucleus using plasmonic nanoparticle-conjugated H3K9me3 and H3K27me3 antibodies. Due to distance-dependent plasmonic coupling effects between nanoprobes, their scattering spectra shift to longer wavelengths as the distance between heterochromatin histone markers reduced during oncogene-induced senescence (OIS). These observations were supported by simulating scattering profiles based on considerations of particle numbers, interparticle distances, and the spatial arrangements of plasmonic nanoprobes. Using this plasmon-based colourimetric imaging, we estimated changes in distances between H3K9me3 and H3K27me3 during the formation of senescence-associated heterochromatin foci in OIS cells. We anticipate that the devised analytical technique combined with high-spatial imaging and spectral simulation will eventually lead to a new means of diagnosing and monitoring disease progression and cellular senescence.     

Prediction of GPCR-G protein coupling specificity using features of sequences and biological functions

Understanding the coupling specificity between G protein-coupled receptors （GPCRs） and specific classes of G proteins is important for further elucidation of receptor functions within a cell. Increasing information on GPCR sequences and the G protein family would facilitate prediction of the coupling properties of GPCRs. In this study, we describe a novel approach for predicting the coupling specificity between GPCRs and G proteins. This method uses not only GPCR sequences but also the functional knowledge generated by natural language processing, and can achieve 92.2% prediction accuracy by using the C4.5 algorithm. Furthermore, rules related to GPCR-G protein coupling are generated. The combination of sequence analysis and text mining improves the prediction accuracy for GPCR-G protein coupling specificity, and also provides clues for understanding GPCR signaling.     

Investigation of sugar binding kinetics of the E. coli sugar/H+ symporter XylE using solid-supported membrane-based electrophysiology

Bacterial transporters are difficult to study using conventional electrophysiology because of their low transport rates and the small size of bacterial cells. Here, we applied solid-supported membrane–based electrophysiology to derive kinetic parameters of sugar translocation by the Escherichia coli xylose permease (XylE), including functionally relevant mutants. Many aspects of the fucose permease (FucP) and lactose permease (LacY) have also been investigated, which allow for more comprehensive conclusions regarding the mechanism of sugar translocation by transporters of the major facilitator superfamily. In all three of these symporters, we observed sugar binding and transport in real time to determine K_M, V_max, K_D, and k_obs values for different sugar substrates. K_D and k_obs values were attainable because of a conserved sugar-induced electrogenic conformational transition within these transporters. We also analyzed interactions between the residues in the available X-ray sugar/H⁺ symporter structures obtained with different bound sugars. We found that different sugars induce different conformational states, possibly correlating with different charge displacements in the electrophysiological assay upon sugar binding. Finally, we found that mutations in XylE altered the kinetics of glucose binding and transport, as Q175 and L297 are necessary for uncoupling H⁺ and d-glucose translocation. Based on the rates for the electrogenic conformational transition upon sugar binding (>300 s⁻¹) and for sugar translocation (2 s⁻¹ − 30 s⁻¹ for different substrates), we propose a multiple-step mechanism and postulate an energy profile for sugar translocation. We also suggest a mechanism by which d-glucose can act as an inhibitor for XylE.     

硅烷偶联剂的研究与应用

硅烷偶联剂是应用最广的一类偶联剂。本文阐述了其结构特征、偶联机理与使用技术,着重综述了硅烷偶联剂的应用范围与具体应用效果,最后展望了硅烷偶联剂的发展方向。     

大肠杆菌中转录-翻译耦合的机制

在大肠杆菌（Escherichia coli,E. coli）等原核生物中,转录和翻译往往是耦合的,这种耦合通常表现在转录和翻译的互相调控上,如转录极性、转录衰减和转录-翻译速率的同步。间接耦合和物理耦合是耦合的两种模式。由警报素（alarmone）(p)ppGpp维持的间接耦合可能需要DksA和TufA蛋白的辅助。物理耦合分为NusG或RfaH因子介导的耦合和非因子条件下产生的“碰撞”耦合。响应于压力的转录或翻译的变化会引发几种耦合模式间的相互转变。耦合对于基因正常表达是必要的,其解除将引发转录终止、R环形成、复制-转录冲突、mRNA切割等不利的事件。结构生物学的相关技术已经清晰地展示了部分耦合的表达体（expressome）的结构细节和特征,这些技术联合多组学分析等方法将提供关于耦合的更深层次的见解。重要的是,对耦合的研究或许会为靶向抗菌药物的开发带来新的思路。     

Why are translationally sub-optimal synonymous codons used in Escherichia coli?

Natural selection favors certain synonymous codons which aid translation in Escherichia coli, yet codons not favored by translational selection persist. We use the frequency distributions of synonymous polymorphisms to test three hypotheses for the existence of translationally sub-optimal codons: (1) selection is a relatively weak force, so there is a balance between mutation, selection, and drift; (2) at some sites there is no selection on codon usage, so some synonymous sites are unaffected by translational selection; and (3) translationally sub-optimal codons are favored by alternative selection pressures at certain synonymous sites. We find that when all the data is considered, model 1 is supported and both models 2 and 3 are rejected as sole explanations for the existence of translationally sub-optimal codons. However, we find evidence in favor of both models 2 and 3 when the data is partitioned between groups of amino acids and between regions of the genes. Thus, all three mechanisms appear to contribute to the existence of translationally sub-optimal codons in E. coli. Received: 18 July 2000 / Accepted: 17 April 2001     

Bicelle-based liquid crystals for NMR-measurement of dipolar couplings at acidic and basic pH values

It is demonstrated that mixtures of ditetradecyl- phosphatidylcholine or didodecyl-phoshatidylcholine and dihexyl- phosphatidylcholine in water form lyotropic liquid crystalline phases under similar conditions as previously reported for bicelles consisting of dimyristoyl-phosphatidylcholine (DMPC) and dihexanoyl- phosphatidylcholine (DHPC). The carboxy-ester bonds present in DMPC and DHPC are replaced by ether linkages in their alkyl analogs, which prevents acid- or base-catalyzed hydrolysis of these compounds. 15N-1H dipolar couplings measured for ubiquitin over the 2.3–10.4pH range indicate that this protein retains a backbone conformation which is very similar to its structure at pH 6.5 over this entire range.     

How acidic is the lumen?

Proton motive force (pmf), established across the thylakoid membrane by photosynthetic electron transfer, functions both to drive the synthesis of ATP and initiate processes that down-regulate photosynthesis. At the same time, excessively low lumen pH can lead to the destruction of some lumenal components and sensitization of the photosynthetic apparatus to photoinhibition. Therefore, in order to understand the energy budget of photosynthesis, its regulation and responses to environmental stresses, it is essential to know the magnitude of pmf, its distribution between pH and the electric field () as well as the relationships between these parameters and G_ATP, and down-regulatory and inhibitory processes. We review past estimates of lumen pH and propose a model that can explain much of the divergent data in the literature. In this model, in intact plants under permissive conditions, photosynthesis is regulated so that lumen pH remains mod erate (between 5.8 and 6.5), where it modulates the activity of the violaxanthin deepoxidase, does not significantly restrict the turnover of the cytochrome b₆f complex, and does not destabilize the oxygen evolving complex. Only under stressed conditions, where light input exceeds the capacity of both photosynthesis and down-regulatory processes, does lumen pH decrease below 5, possibly contributing to photoinhibition. A value of n = 4 for the stoichiometry of protons pumped through the ATP synthase per ATP synthesized, and a minor contribution of to pmf, will allow moderate lumen pH to sustain the observed levels of G_ATP.     

Interaction of Serotonin1A Receptors from Bovine Hippocampus with Tertiary Amine Local Anesthetics

1. We have examined the interaction of tertiary amine local anesthetics with the bovine hippocampal serotonin1A (5-HT1A) receptor, an important member of the G-protein-coupled receptor superfamily. 2. The local anesthetics inhibit specific agonist and antagonist binding to the 5-HT1A receptor at a clinically relevant concentration range of the anesthetics. This is accompanied by a concomitant reduction in the binding affinity of the 5-HT1A receptor to the agonist. Interestingly, the extent of G-protein coupling of the receptor is reduced in the presence of the local anesthetics. 3. Fluorescence polarization measurements using depth-dependent fluorescent probes show that procaine and lidocaine do not show any significant change in membrane fluidity. On the other hand, tetracaine and dibucaine were found to alter fluidity of the membrane as indicated by a fluorescent probe which monitors the headgroup region of the membrane. 4. The local anesthetics showed inhibition of agonist binding to the 5-HT1A receptor in membranes depleted of cholesterol more or less to the same extent as that of control membranes in all cases. This suggests that the inhibition in ligand binding to the 5-HT1A receptor brought about by local anesthetics is independent of the membrane cholesterol content. 5. Our results on the effects of the local anesthetics on the ligand binding and G-protein coupling of the 5-HT1A receptor support the possibility that G-protein-coupled receptors could be involved in the action of local anesthetics.     

Validation of the GROMOS force-field parameter set 45A3 against nuclear magnetic resonance data of hen egg lysozyme

The quality of molecular dynamics (MD) simulations of proteins depends critically on the biomolecular force field that is used. Such force fields are defined by force-field parameter sets, which are generally determined and improved through calibration of properties of small molecules against experimental or theoretical data. By application to large molecules such as proteins, a new force-field parameter set can be validated. We report two 3.5 ns molecular dynamics simulations of hen egg white lysozyme in water applying the widely used GROMOS force-field parameter set 43A1 and a new set 45A3. The two MD ensembles are evaluated against NMR spectroscopic data NOE atom–atom distance bounds, ³J_NH and ³J coupling constants, and ¹5N relaxation data. It is shown that the two sets reproduce structural properties about equally well. The 45A3 ensemble fulfills the atom–atom distance bounds derived from NMR spectroscopy slightly less well than the 43A1 ensemble, with most of the NOE distance violations in both ensembles involving residues located in loops or flexible regions of the protein. Convergence patterns are very similar in both simulations atom-positional root-mean-square differences (RMSD) with respect to the X-ray and NMR model structures and NOE inter-proton distances converge within 1.0–1.5 ns while backbone ³J_HN-coupling constants and ¹H– ¹5N order parameters take slightly longer, 1.0–2.0 ns. As expected, side-chain ³J-coupling constants and ¹H– ¹5N order parameters do not reach full convergence for all residues in the time period simulated. This is particularly noticeable for side chains which display rare structural transitions. When comparing each simulation trajectory with an older and a newer set of experimental NOE data on lysozyme, it is found that the newer, larger, set of experimental data agrees as well with each of the simulations. In other words, the experimental data converged towards the theoretical result.