Features of molecular recognition of intrinsically disordered proteins via coupled folding and binding

The sequence–structure–function paradigm of proteins has been revolutionized by the discovery of intrinsically disordered proteins (IDPs) or intrinsically disordered regions (IDRs). In contrast to traditional ordered proteins, IDPs/IDRs are unstructured under physiological conditions. The absence of well‐defined three‐dimensional structures in the free state of IDPs/IDRs is fundamental to their function. Folding upon binding is an important mode of molecular recognition for IDPs/IDRs. While great efforts have been devoted to investigating the complex structures and binding kinetics and affinities, our knowledge on the binding mechanisms of IDPs/IDRs remains very limited. Here, we review recent advances on the binding mechanisms of IDPs/IDRs. The structures and kinetic parameters of IDPs/IDRs can vary greatly, and the binding mechanisms can be highly dependent on the structural properties of IDPs/IDRs. IDPs/IDRs can employ various combinations of conformational selection and induced fit in a binding process, which can be templated by the target and/or encoded by the IDP/IDR. Further studies should provide deeper insights into the molecular recognition of IDPs/IDRs and enable the rational design of IDP/IDR binding mechanisms in the future.     

翻译后修饰调控TRPV亚家族通道功能的研究进展

瞬时受体势(transient receptor potential,TRP)通道广泛分布于神经和非神经系统中,响应温度、化学和机械等多种刺激,在机体对外界环境的精确感知中发挥重要功能.根据蛋白质序列的相似性,哺乳动物中TRP通道家族的27个成员分属TRPA、TRPC、TRPM、TRPML、TRPP和TRPV 6个亚家族.其中TRPV亚家族包含了6个成员,分别为温度敏感型的TRPV1～4通道,以及对Ca²⁺具有高选择通透能力的TRPV5和TRPV6通道.研究结果表明,TRPV亚家族通道参与调控细胞内的离子稳态和信号传导,在温度感知和血管扩张等生理过程中发挥作用,并与癌症、心血管等多种疾病的发生和发展密切相关.翻译后修饰(post-translational modifications,PTMs)是翻译中或者翻译后在蛋白质特定氨基酸上添加或删减修饰官能团的过程.越来越多的研究结果表明,TRPV亚家族通道同样可以发生翻译后修饰,并对通道功能产生重要影响.本文综述了目前已报道的磷酸化、糖基化、泛素化、SUMO化和共价修饰等多种翻译后修饰调控TRPV亚家族成员功能的主要研...     

中国在翻译后修饰的生物信息学研究领域的进展与前瞻

翻译后修饰在调控蛋白质构象变化、活性以及功能方面具有重要作用,并参与了几乎所有细胞通路和过程。蛋白质翻译后修饰的鉴定是阐明细胞内分子机理的基础。相对于劳动密集的、耗费时间的实验工作,利用各种生物信息学方法开展翻译后修饰预测,能够提供准确、简便和快速的研究方案,并产生有价值的信息为进一步实验研究提供参考。文章主要综述了中国生物信息学者在翻译后修饰生物信息学领域所取得的研究进展,包括修饰底物与位点预测的计算方法学设计与完善、在线或本地化工具的设计与维护、修饰相关数据库及数据资源的构建及基于修饰蛋白质组学数据的生物信息学分析。通过比较国内外的同类研究,发现优势和不足,并对未来的研究作出前瞻。     

The Plant PTM Viewer,a central resource for exploring plant protein modifications

Post‐translational modifications (PTMs) of proteins are central in any kind of cellular signaling. Modern mass spectrometry technologies enable comprehensive identification and quantification of various PTMs. Given the increased numbers and types of mapped protein modifications, a database is necessary that simultaneously integrates and compares site‐specific information for different PTMs, especially in plants for which the available PTM data are poorly catalogued. Here, we present the Plant PTM Viewer (http://www.psb.ugent.be/PlantPTMViewer), an integrative PTM resource that comprises approximately 370 000 PTM sites for 19 types of protein modifications in plant proteins from five different species. The Plant PTM Viewer provides the user with a protein sequence overview in which the experimentally evidenced PTMs are highlighted together with an estimate of the confidence by which the modified peptides and, if possible, the actual modification sites were identified and with functional protein domains or active site residues. The PTM sequence search tool can query PTM combinations in specific protein sequences, whereas the PTM BLAST tool searches for modified protein sequences to detect conserved PTMs in homologous sequences. Taken together, these tools help to assume the role and potential interplay of PTMs in specific proteins or within a broader systems biology context. The Plant PTM Viewer is an open repository that allows the submission of mass spectrometry‐based PTM data to remain at pace with future PTM plant studies.     

An emerging field: Post-translational modification in microbiome

Post-translational modifications (PTMs) play an essential role in most biological processes. PTMs on human proteins have been extensively studied. Studies on bacterial PTMs are emerging, which demonstrate that bacterial PTMs are different from human PTMs in their types, mechanisms and functions. Few PTM studies have been done on the microbiome. Here, we reviewed several studied PTMs in bacteria including phosphorylation, acetylation, succinylation, glycosylation, and proteases. We discussed the enzymes responsible for each PTM and their functions. We also summarized the current methods used to study microbiome PTMs and the observations demonstrating the roles of PTM in the microbe-microbe interactions within the microbiome and their interactions with the environment or host. Although new methods and tools for PTM studies are still needed, the existing technologies have made great progress enabling a deeper understanding of the functional regulation of the microbiome. Large-scale application of these microbiome-wide PTM studies will provide a better understanding of the microbiome and its roles in the development of human diseases.     

Dual Coordination of Post Translational Modifications in Human Protein Networks

Post-translational modifications (PTMs) regulate protein activity, stability and interaction profiles and are critical for cellular functioning. Further regulation is gained through PTM interplay whereby modifications modulate the occurrence of other PTMs or act in combination. Integration of global acetylation, ubiquitination and tyrosine or serine/threonine phosphorylation datasets with protein interaction data identified hundreds of protein complexes that selectively accumulate each PTM, indicating coordinated targeting of specific molecular functions. A second layer of PTM coordination exists in these complexes, mediated by PTM integration (PTMi) spots. PTMi spots represent very dense modification patterns in disordered protein regions and showed an equally high mutation rate as functional protein domains in cancer, inferring equivocal importance for cellular functioning. Systematic PTMi spot identification highlighted more than 300 candidate proteins for combinatorial PTM regulation. This study reveals two global PTM coordination mechanisms and emphasizes dataset integration as requisite in proteomic PTM studies to better predict modification impact on cellular signaling.     

Modulating Microtubules: A Molecular Perspective on the Effects of Tail Modifications

Microtubules (MTs), an essential component of the eukaryotic cytoskeleton, are a lattice of polymerized tubulin dimers and are crucial for various cellular processes. The genetic and chemical diversity of tubulin and their disordered tails gives rise to a “tubulin code”. The functional role of tubulin post-translational modifications (PTMs), which contribute to the chemical diversity of the tubulin code, is gradually being unraveled. However, variation in the length and spatial organization of tubulin poly-modifications leads to an enormous combinatorial PTM space, which is difficult to study experimentally. Hence, the impact of the combinatorial tubulin PTM space on the biophysical properties of tubulin tails and their interactions with other proteins remains elusive.Here, we combine all-atom and coarse-grained molecular dynamics simulations to elucidate the biophysical implications of the large combinatorial tubulin PTM space in the context of an MT lattice. We find that tail–body interactions are more dominant in the tubulin dimer than in an MT lattice, and are more significant for the tails of α compared with β tubulin. In addition, polyglutamylation, but not polyglycylation, expands the dimensions of the tubulin tails. Polyglutamylation also leads to a decrease in the diffusion rate of MT-associated protein EB1 on MTs, while polyglycylation often increases diffusion rate. These observations are generally not sensitive to the organization of the polymodifications. The effect of PTMs on MT charge density and tail dynamics are also discussed. Overall, this study presents a molecular quantification of the biophysical properties of tubulin tails and their polymodifications, and provides predictions on the functional importance of tubulin PTMs.     

An assignment of intrinsically disordered regions of proteins based on NMR structures

Intrinsically disordered proteins (IDPs) do not adopt stable three-dimensional structures in physiological conditions, yet these proteins play crucial roles in biological phenomena. In most cases, intrinsic disorder manifests itself in segments or domains of an IDP, called intrinsically disordered regions (IDRs), but fully disordered IDPs also exist. Although IDRs can be detected as missing residues in protein structures determined by X-ray crystallography, no protocol has been developed to identify IDRs from structures obtained by Nuclear Magnetic Resonance (NMR). Here, we propose a computational method to assign IDRs based on NMR structures. We compared missing residues of X-ray structures with residue-wise deviations of NMR structures for identical proteins, and derived a threshold deviation that gives the best correlation of ordered and disordered regions of both structures. The obtained threshold of 3.2 Å was applied to proteins whose structures were only determined by NMR, and the resulting IDRs were analyzed and compared to those of X-ray structures with no NMR counterpart in terms of sequence length, IDR fraction, protein function, cellular location, and amino acid composition, all of which suggest distinct characteristics. The structural knowledge of IDPs is still inadequate compared with that of structured proteins. Our method can collect and utilize IDRs from structures determined by NMR, potentially enhancing the understanding of IDPs.     

THANATOS: an integrative data resource of proteins and post-translational modifications in the regulation of autophagy

Macroautophagy/autophagy is a highly conserved process for degrading cytoplasmic contents, determines cell survival or death, and regulates the cellular homeostasis. Besides ATG proteins, numerous regulators together with various post-translational modifications (PTMs) are also involved in autophagy. In this work, we collected 4,237 experimentally identified proteins regulated in autophagy and cell death pathways from the literature. Then we computationally identified potential orthologs of known proteins, and developed a comprehensive database of The Autophagy, Necrosis, ApopTosis OrchestratorS (THANATOS, http://thanatos.biocuckoo.org), containing 191,543 proteins potentially associated with autophagy and cell death pathways in 164 eukaryotes. We performed an evolutionary analysis of ATG genes, and observed that ATGs required for the autophagosome formation are highly conserved across eukaryotes. Further analyses revealed that known cancer genes and drug targets were overrepresented in human autophagy proteins, which were significantly associated in a number of signaling pathways and human diseases. By reconstructing a human kinase-substrate phosphorylation network for ATG proteins, our results confirmed that phosphorylation play a critical role in regulating autophagy. In total, we mapped 65,015 known sites of 11 types of PTMs to collected proteins, and revealed that all types of PTM substrates were enriched in human autophagy. In addition, we observed multiple types of PTM regulators such as protein kinases and ubiquitin E3 ligases or adaptors were significantly associated with human autophagy, and again the results emphasized the importance of PTM regulations in autophagy. We anticipated THANATOS can be a useful resource for further studies.     

Functional analysis tools for post‐translational modification: a post‐translational modification database for analysis of proteins and metabolic pathways

Post‐translational modifications (PTMs) are critical regulators of protein function, and nearly 200 different types of PTM have been identified. Advances in high‐resolution mass spectrometry have led to the identification of an unprecedented number of PTM sites in numerous organisms, potentially facilitating a more complete understanding of how PTMs regulate cellular behavior. While databases have been created to house the resulting data, most of these resources focus on individual types of PTM, do not consider quantitative PTM analyses or do not provide tools for the visualization and analysis of PTM data. Here, we describe the Functional Analysis Tools for Post‐Translational Modifications (FAT‐PTM) database ( https://bioinformatics.cse.unr.edu/fat-ptm/ ), which currently supports eight different types of PTM and over 49 000 PTM sites identified in large‐scale proteomic surveys of the model organism Arabidopsis thaliana. The FAT‐PTM database currently supports tools to visualize protein‐centric PTM networks, quantitative phosphorylation site data from over 10 different quantitative phosphoproteomic studies, PTM information displayed in protein‐centric metabolic pathways and groups of proteins that are co‐modified by multiple PTMs. Overall, the FAT‐PTM database provides users with a robust platform to share and visualize experimentally supported PTM data, develop hypotheses related to target proteins or identify emergent patterns in PTM data for signaling and metabolic pathways.     

An atlas of posttranslational modifications on RNA binding proteins

RNA structure and function are intimately tied to RNA binding protein recognition and regulation. Posttranslational modifications are chemical modifications which can control protein biology. The role of PTMs in the regulation RBPs is not well understood, in part due to a lacking analysis of PTM deposition on RBPs. Herein, we present an analysis of posttranslational modifications (PTMs) on RNA binding proteins (RBPs; a PTM RBP Atlas). We curate published datasets and primary literature to understand the landscape of PTMs and use protein–protein interaction data to understand and potentially provide a framework for understanding which enzymes are controlling PTM deposition and removal on the RBP landscape. Intersection of our data with The Cancer Genome Atlas also provides researchers understanding of mutations that would alter PTM deposition. Additional characterization of the RNA–protein interface provided from in-cell UV crosslinking experiments provides a framework for hypotheses about which PTMs could be regulating RNA binding and thus RBP function. Finally, we provide an online database for our data that is easy to use for the community. It is our hope our efforts will provide researchers will an invaluable tool to test the function of PTMs controlling RBP function and thus RNA biology.     

Exploring the binding diversity of intrinsically disordered proteins involved in one‐to‐many binding

Molecular recognition features (MoRFs) are intrinsically disordered protein regions that bind to partners via disorder‐to‐order transitions. In one‐to‐many binding, a single MoRF binds to two or more different partners individually. MoRF‐based one‐to‐many protein–protein interaction (PPI) examples were collected from the Protein Data Bank, yielding 23 MoRFs bound to 2–9 partners, with all pairs of same‐MoRF partners having less than 25% sequence identity. Of these, 8 MoRFs were bound to 2–9 partners having completely different folds, whereas 15 MoRFs were bound to 2–5 partners having the same folds but with low sequence identities. For both types of partner variation, backbone and side chain torsion angle rotations were used to bring about the conformational changes needed to enable close fits between a single MoRF and distinct partners. Alternative splicing events (ASEs) and posttranslational modifications (PTMs) were also found to contribute to distinct partner binding. Because ASEs and PTMs both commonly occur in disordered regions, and because both ASEs and PTMs are often tissue‐specific, these data suggest that MoRFs, ASEs, and PTMs may collaborate to alter PPI networks in different cell types. These data enlarge the set of carefully studied MoRFs that use inherent flexibility and that also use ASE‐based and/or PTM‐based surface modifications to enable the same disordered segment to selectively associate with two or more partners. The small number of residues involved in MoRFs and in their modifications by ASEs or PTMs may simplify the evolvability of signaling network diversity.     

Uncoupled binding and folding of immune signaling-related intrinsically disordered proteins

The classical protein structure-function paradigm has been challenged by the emergence of intrinsically disordered proteins (IDPs), the proteins that do not adopt well-defined three-dimensional structures under physiological conditions. This development was accompanied by the introduction of a “coupled binding and folding” paradigm that suggests folding of IDPs upon binding to their partners. However, our recent studies challenge this general view by revealing a novel, previously unrecognized phenomenon – uncoupled binding and folding. This biologically important mechanism is characteristic of members of a new family of IDPs involved in immune signaling and underlies their unusual properties including: (1) specific homodimerization, (2) the lack of folding upon binding to a well-folded protein, another IDP molecule, or to lipid bilayer membranes, and (3) the “scissors-cut paradox”. The third phenomenon occurs in diverse IDP interactions and suggests that properties of IDP fragments are not necessarily additive in the context of the entire protein. The “no disorder-to-order transition” type of binding is distinct from known IDP interactions and is characterized by an unprecedented observation of the lack of chemical shift and peak intensity changes in multidimensional NMR spectra, a fingerprint of proteins, upon complex formation. Here, I focus on those interactions of IDPs with diverse biological partners where the binding phase driven by electrostatic interactions is not be necessarily followed by the hydrophobic folding phase. I also review new multidisciplinary knowledge about immune signaling-related IDPs and show how it expands our understanding of cell function with multiple applications in biology and medicine.     

Proteomic databases and tools to decipher post-translational modifications

Post-translational modifications (PTMs) are vital cellular control mechanism, which affect protein properties, including folding, conformation, activity and consequently, their functions. As a result they play a key role in various disease conditions, including cancer and diabetes. Proteomics as a rapidly growing field has witnessed tremendous advancement during the last decade, which has led to the generation of prodigious quantity of data for various organisms' proteome. PTMs being biologically and chemically dynamic process, pose greater challenges for its study. Amidst these complexities connecting the modifications with physiological and cellular cascade of events are still very challenging. Advancement in proteomic technologies such as mass spectrometry and microarray provides HT platform to study PTMs and help to decipher role of some of the very essential biological phenomenon. To enhance our understanding of various PTMs in different organisms, and to simplify the analysis of complex PTM data, many databases, software and tools have been developed. These PTM databases and tools contain crucial information and provide a valuable resource to the research community. This article intends to provide a comprehensive overview of various PTM databases, software tools, and analyze critical information available from these resources to study PTMs in various biological organisms.