毛果杨固有无序蛋白质基因克隆及胁迫响应分析

为了解毛果杨中固有无序蛋白PtrIDP1（Potri.010G161200.1）基因的相关信息，探究该基因在毛果杨的不同组织、不同逆境胁迫下的表达特性，本研究根据Phytozome数据库中得到的基因全长序列设计引物，克隆得到该基因的目的片段。该基因完整的CDs区序列长度为423 bp，共编码140个氨基酸。构建亚细胞定位表达载体，瞬时转化洋葱表皮细胞，在激光共聚焦显微镜下观察显示，PtrIDP1定位在细胞核内。利用实时定量RT-PCR技术分析了PtrIDP1基因在毛果杨不同组织中的表达特异性和应对非生物胁迫的表达特性。结果表明：PtrIDP1基因在毛果杨的根、茎、叶中均有表达，其中在根部表达量最低，在茎和叶中相对表达量较高。PtrIDP1基因在高盐和干旱胁迫诱导时其表达量的变化模式不同，初步分析认为PtrIDP1基因参与了毛果杨非生物逆境胁迫的响应过程。     

无序蛋白质的判定及其结构、功能和进化特征

固有无序蛋白质(intrinsically disordered proteins,IDPs)是天然条件下自身不能折叠为明确唯一的空间结构,却具有生物学功能的一类新发现的蛋白质.这类蛋白质的发现是对传统的"结构-功能"关系认识模式的挑战.本文首先总结了无序蛋白质的实验鉴定手段、预测方法、数据库;并介绍了无序蛋白质结构(包括一级结构、二级结构、结构域无序性及变构效应)和功能特征;然后重点总结了无序蛋白质在进化角度研究的进展,包括无序区域产生的进化机制、进化速率,蛋白无序性的进化在蛋白质功能进化及生物学复杂性增加等方面的重要作用;最后展望了无序蛋白质在医药方面的应用前景.本文对于深入认识无序蛋白质的形成机制、结构和功能特征及其潜在的临床应用前景具有重要意义.     

固有无序蛋白研究进展及其对细胞胁迫耐受性的影响

固有无序蛋白(intrinsically disordered proteins,IDPs)是指在生理条件下缺乏有序稳定的高级结构,整体或局部不折叠,但能够参与多种生物学过程、行使特定生物学功能的一类蛋白质.固有无序蛋白决定了其不同于经典蛋白质"序列-结构-功能"的功能范式,丰富了蛋白质"结构-功能"的多样性.固有无序...     

固有无序蛋白与蛋白质相互作用位点残基特征分析

本文对固有无序蛋白(IDPs)与其他蛋白质相互作用位点残基特征进行了研究.首先在数据库中选出满足条件的109条IDPs蛋白质链及与其他配体蛋白形成的299个IDPs-蛋白质复合物,然后提取复合物中作为相互作用位点的IDPs-蛋白质残基.这109条IDPs链中共含有50 031个氨基酸残基,其中处于作用位点的残基有4 822个.通过分析发现,20种氨基酸在形成IDPs-蛋白质相互作用位点残基时具有不同的倾向性,根据形成作用位点残基的倾向性,20种氨基酸可分成三大类:倾向型氨基酸(ILE、LEU、ARG、PHE、TYR、MET、TRP)、中间型氨基酸(GLN、GLU、THR、LYS、VAL、ASP、HIS)、非倾向型氨基酸(PRO、SER、GLY、ALA、ASN、CYS).研究结果还进一步表明,不同氨基酸在有序区域与无序区域形成IDPs-蛋白质作用位点残基的倾向性不同.其中,氨基酸TRP、LEU、ILE、CYS在有序和无序区域形成作用位点残基的差异性尤为明显,而氨基酸GLU、PHE、HIS、ALA则基本没有多大差别.对IDPs-蛋白质相互作用位点残基理化特征进行分析发现:疏水性强、侧链净电荷量较少、极性较小、溶剂可及性表面积较大、侧链体积较大、极化率较大的氨基酸比较倾向于形成作用位点残基.主成分分析结果显示,残基的极化率、侧链体积和溶剂可及表面积对作用位点残基影响最大.     

非生物逆境胁迫下植物钙信号转导的分子机制

Ca2+作为植物细胞中最重要的第二信使, 参与植物对许多逆境信号的转导。在非生物逆境条件下, 植物细胞质内的钙离子在时间、空间及浓度上会出现特异性变化, 即诱发产生钙信号。钙信号再通过其下游的钙结合蛋白进行感受和转导, 进而在细胞内引起一系列的生物化学反应以适应或抵制各种逆境胁迫。目前在植物细胞中发现Ca2+/CDPK、Ca2+/CaM和Ca2+/CBL 3类钙信号系统, 研究表明它们与非生物逆境胁迫信号转导密切相关。本文通过从植物在非生物逆境条件下钙信号的感受、转导到产生适应性和抗性等方面, 介绍钙信号转导分子机制的一些研究进展。     

天然无折叠蛋白质

天然无折叠蛋白质是一类与传统蛋白质结构完全不同的蛋白质,这类蛋白质的数目在不断地增加。它们的出现是对蛋白质学科基本信条的挑战。     

非生物逆境胁迫下植物钙信号转导的分子机制

Ca^2＋作为植物细胞中最重要的第二信使,参与植物对许多逆境信号的转导。在非生物逆境条件下,植物细胞质内的钙离子在时间、空间及浓度上会出现特异性变化,即诱发产生钙信号。钙信号再通过其下游的钙结合蛋白进行感受和转导,进而在细胞内引起一系列的生物化学反应以适应或抵制各种逆境胁迫。目前在植物细胞中发现Ca^2＋／CDPK、Ca^2＋／CaM和Ca^2＋／CBL3类钙信号系统,研究表明它们与非生物逆境胁迫信号转导密切相关。本文通过从植物在非生物逆境条件下钙信号的感受、转导到产生适应性和抗性等方面,介绍钙信号转导分子机制的一些研究进展。     

水稻病程相关蛋白质在逆境胁迫下的表达研究

植物病程相关(PR)基因一般在病原物侵染过程中受诱导发生转录上调．目前有证据提示植物PR基因在非生物逆境胁迫下也发生转录变化,但其蛋白质的表达变化情况还鲜有报道．为了解水稻PR蛋白质在逆境胁迫下的表达特征,本文采用免疫印迹技术(Western blotting,WB)调查了8个PR蛋白质在冷、热、旱、淹和盐等5种胁迫下的表达谱．结果表明：在冷胁迫下PR8表达上调,在热胁迫下PR1a、PR3、PR5和PR16表达下调;在旱胁迫下PR1a、PR2和PR8表达上调,而PR5 和PR16表达下调,在淹胁迫下PR1、PR2和PR15表达上调,PR1a、PR3、PR5和PR8表达下调;在盐胁迫下PR2和PR3表达上调,而PR1a、PR5、PR8和PR16表达下调．另外,对这些PR 基因的上游启动子区进行分析,发现存在与胁迫响应相关的调控元件,其中脱落酸反应元件(ABRE)、TC-rich repeats和HSE的出现频率较高．这些蛋白质表达数据进一步佐证了PR蛋白在逆境胁迫反应中发挥着重要且不尽相同的作用．     

植物逆境胁迫抗性的功能基因组研究策略

植物对逆境胁迫抗性的功能基因组研究主要是寻找胁迫抗性位点在相关物种基因组中的保守位置,发现胁迫反应中的高度保守序列,确定植物胁迫反应的调控机理,进而得到植物对逆境胁迫抗性的关键代谢途径和其中的关键调控因子,为进一步选择用于改良植物对逆境胁迫抗性的关键基因奠定基础。本文从主要模式植物(苔藓类植物、复苏植物、盐土植物和甜土植物)、主要技术策略(基因的差异表达分析、基因表达序列标签、cDNA芯片技术。基因表达序列分析和基因敲除和突变体筛选分析)和生物信息学方法(数据分析的生物信息学方法设计到序列比较、比较基因组学、电子克隆)等三个方面对国内外植物逆境胁迫抗性的功能基因组研究策略作了全面综述。     

蛋白质分子的结构与功能

讨论蛋白质分子的结构特征。蛋白质分子是由约20种氨基酸残基组成的多肽。蛋白质的分子结构有4个层次,即一级、二级、三级和四级结构。蛋白质分子高度有序的结构是其执行特定生理功能基础。     

AlphaFold and Implications for Intrinsically Disordered Proteins

Accurate predictions of the three-dimensional structures of proteins from their amino acid sequences have come of age. AlphaFold, a deep learning-based approach to protein structure prediction, shows remarkable success in independent assessments of prediction accuracy. A significant epoch in structural bioinformatics was the structural annotation of over 98% of protein sequences in the human proteome. Interestingly, many predictions feature regions of very low confidence, and these regions largely overlap with intrinsically disordered regions (IDRs). That over 30% of regions within the proteome are disordered is congruent with estimates that have been made over the past two decades, as intense efforts have been undertaken to generalize the structure–function paradigm to include the importance of conformational heterogeneity and dynamics. With structural annotations from AlphaFold in hand, there is the temptation to draw inferences regarding the “structures” of IDRs and their interactomes. Here, we offer a cautionary note regarding the misinterpretations that might ensue and highlight efforts that provide concrete understanding of sequence-ensemble-function relationships of IDRs. This perspective is intended to emphasize the importance of IDRs in sequence-function relationships (SERs) and to highlight how one might go about extracting quantitative SERs to make sense of how IDRs function.     

An Extended Guinier Analysis for Intrinsically Disordered Proteins

Guinier analysis allows model-free determination of the radius of gyration (R_g) of a biomolecule from X-ray or neutron scattering data, in the limit of very small scattering angles. Its range of validity is well understood for globular proteins, but is known to be more restricted for unfolded or intrinsically disordered proteins (IDPs). We have used ensembles of disordered structures from molecular dynamics simulations to investigate which structural properties cause deviations from the Guinier approximation at small scattering angles. We find that the deviation from the Guinier approximation is correlated with the polymer scaling exponent ν describing the unfolded ensemble. We therefore introduce an empirical, ν-dependent, higher-order correction term, to augment the standard Guinier analysis. We test the new fitting scheme using all-atom simulation data for several IDPs and experimental data for both an IDP and a destabilized mutant of a folded protein. In all cases tested, we achieve an accuracy of the inferred R_g within ～ 3% of the true R_g. The method is straightforward to implement and extends the range of validity to a maximum qR_g of ～ 2 versus ～ 1.1 for Guinier analysis. Compared with the Guinier or Debye approaches, our method allows data from wider angles with lower noise to be used to analyze scattering data accurately. In addition to R_g, our fitting scheme also yields estimates of the scaling exponent ν in excellent agreement with the reference ν determined from the underlying molecular ensemble.     

On the Calculation of SAXS Profiles of Folded and Intrinsically Disordered Proteins from Computer Simulations

Solution techniques such as small-angle X-ray scattering (SAXS) play a central role in structural studies of intrinsically disordered proteins (IDPs); yet, due to low resolution, it is generally necessary to combine SAXS with additional experimental sources of data and to use molecular simulations. Computational methods for the calculation of theoretical SAXS intensity profiles can be separated into two groups, depending on whether the solvent is modeled implicitly as continuous electron density or considered explicitly. The former offers reduced computational cost but requires the definition of a number of free parameters to account for, for example, the excess density of the solvation layer. Overfitting can thus be an issue, particularly when the structural ensemble is unknown. Here, we investigate and show how small variations of the contrast of the hydration shell, δρ, severely affect the outcome, analysis and interpretation of computed SAXS profiles for folded and disordered proteins. For both the folded and disordered proteins studied here, using a default δρ may, in some cases, result in the calculation of non-representative SAXS profiles, leading to an overestimation of their size and a misinterpretation of their structural nature. The solvation layer of the different IDP simulations also impacts their size estimates differently, depending on the protein force field used. The same is not true for the folded protein simulations, suggesting differences in the solvation of the two classes of proteins, and indicating that different force fields optimized for IDPs may cause expansion of the polypeptide chain through different physical mechanisms.     

Realistic Ensemble Models of Intrinsically Disordered Proteins Using a Structure-Encoding Coil Database

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Expanding the Paradigm: Intrinsically Disordered Proteins and Allosteric Regulation

Allosteric regulatory processes are implicated at all levels of biological function. Recent advances in our understanding of the diverse and functionally significant class of intrinsically disordered proteins have identified a multitude of ways in which disordered proteins function within the confines of the allosteric paradigm. Allostery within or mediated by intrinsically disordered proteins ensures robust and efficient signal integration through mechanisms that would be extremely unfavorable or even impossible for globular protein interaction partners. Here, we highlight recent examples that indicate the breadth of biological outcomes that can be achieved through allosteric regulation by intrinsically disordered proteins. Ongoing and future work in this rapidly evolving area of research will expand our appreciation of the central role of intrinsically disordered proteins in ensuring the fidelity and efficiency of cellular regulation.     

OPAL+: Length‐Specific MoRF Prediction in Intrinsically Disordered Protein Sequences

Intrinsically disordered proteins (IDPs) contain long unstructured regions, which play an important role in their function. These intrinsically disordered regions (IDRs) participate in binding events through regions called molecular recognition features (MoRFs). Computational prediction of MoRFs helps identify the potentially functional regions in IDRs. In this study, OPAL+, a novel MoRF predictor, is presented. OPAL+ uses separate models to predict MoRFs of varying lengths along with incorporating the hidden Markov model (HMM) profiles and physicochemical properties of MoRFs and their flanking regions. Together, these features help OPAL+ achieve a marginal performance improvement of 0.4–0.7% over its predecessor for diverse MoRF test sets. This performance improvement comes at the expense of increased run time as a result of the requirement of HMM profiles. OPAL+ is available for download at https://github.com/roneshsharma/OPAL-plus/wiki/OPAL-plus-Download .     

Cancer-Associated Mutations Perturb the Disordered Ensemble and Interactions of the Intrinsically Disordered p53 Transactivation Domain

Intrinsically disordered proteins (IDPs) are key components of regulatory networks that control crucial aspects of cell decision making. The intrinsically disordered transactivation domain (TAD) of tumor suppressor p53 mediates its interactions with multiple regulatory pathways to control the p53 homeostasis during the cellular response to genotoxic stress. Many cancer-associated mutations have been discovered in p53-TAD, but their structural and functional consequences are poorly understood. Here, by combining atomistic simulations, NMR spectroscopy, and binding assays, we demonstrate that cancer-associated mutations can significantly perturb the balance of p53 interactions with key activation and degradation regulators. Importantly, the four mutations studied in this work do not all directly disrupt the known interaction interfaces. Instead, at least three of these mutations likely modulate the disordered state of p53-TAD to perturb its interactions with regulators. Specifically, NMR and simulation analysis together suggest that these mutations can modulate the level of conformational expansion as well as rigidity of the disordered state. Our work suggests that the disordered conformational ensemble of p53-TAD can serve as a central conduit in regulating the response to various cellular stimuli at the protein–protein interaction level. Understanding how the disordered state of IDPs may be modulated by regulatory signals and/or disease associated perturbations will be essential in the studies on the role of IDPs in biology and diseases.