生物物理学报:英文版最新文献

Protein glycosylation is of great importance in many biological processes. Glycosylation has been increasingly analyzed at the intact glycopeptide level using mass spectrometry to study site-specific glycosylation changes under different physiological and pathological conditions. StrucGP is a glycan database-independent search engine for the structural interpretation of N-glycoproteins at the site-specific level. To ensure the accuracy of results, two collision energies are implemented in instrument settings for each precursor to separate fragments of peptides and glycans. In addition, the false discovery rates (FDR) of peptides and glycans as well as probabilities of detailed structures are estimated. In this protocol, the use of StrucGP is demonstrated, including environment configuration, data preprocessing as well as result inspection and visualization using our in-house software "GlycoVisualTool". The described workflow should be able to be performed by anyone with basic proteomic knowledge.

In recent years, an open search of tandem mass spectra has greatly promoted the detection of post-translational modifications (PTMs) in shotgun proteomics. However, post-processing of the results from open searches remains an unsatisfactorily resolved problem, which hinders the open search mode from wide practical use. PTMiner is a software tool based on dedicated statistical algorithms for reliable filtering, localization and annotation of the modifications (mass shifts) detected by open search. Furthermore, PTMiner also supports quality control and re-localization of modifications identified by the traditional closed search. In this protocol, we describe how to use PTMiner for the two search modes. Currently, the search engines supported by PTMiner include pFind, MSFragger, MaxQuant, Comet, MS-GF + and SEQUEST.

Identifying peptides directly from data-independent acquisition (DIA) data remains challenging due to the highly multiplexed MS/MS spectra. Spectral library-based peptide detection is sensitive, but it is limited to the depth of the library and mutes the discovery potential of DIA data. We present here, DIA-MS2pep, a library-free framework for comprehensive peptide identification from DIA data. DIA-MS2pep uses a data-driven algorithm for MS/MS spectrum demultiplexing using the fragments data without the need of a precursor. With a large precursor mass tolerance database search, DIA-MS2pep can identify the peptides and their modified forms. We demonstrate the performance of DIA-MS2pep by comparing it to conventional library-free tools in accuracy and sensitivity of peptide identifications using publicly available DIA datasets of varying samples, including HeLa cell lysates, phosphopeptides, plasma, etc. Compared with data-dependent acquisition-based spectral libraries, spectral libraries built directly from DIA data with DIA-MS2pep improve the accuracy and reproducibility of the quantitative proteome.

Transient and weak protein-protein interactions are essential to many biochemical reactions, yet are technically challenging to study. Chemical cross-linking of proteins coupled with mass spectrometry analysis (CXMS) provides a powerful tool in the analysis of such interactions. Central to this technology are chemical cross-linkers. Here, using two transient heterodimeric complexes EIN/HPr and EIIA^Glc/EIIB^Glc as our model systems, we evaluated the effects of two amine-specific homo-bifunctional cross-linkers with different reactivities. We showed previously that DOPA2 (di-ortho-phthalaldehyde with a di-ethylene glycol spacer arm) cross-links proteins 60-120 times faster than DSS (disuccinimidyl suberate). We found that though most of the intermolecular cross-links of either cross-linker are consistent with the encounter complexes (ECs), an ensemble of short-lived binding intermediates, more DOPA2 intermolecular cross-links could be assigned to the stereospecific complex (SC), the final lowest-energy conformational state for the two interacting proteins. Our finding suggests that faster cross-linking captures the SC more effectively and cross-linkers of different reactivities potentially probe protein-protein interaction dynamics across multiple timescales.

A major role of cell membranes is to provide an ideal environment for the constituent proteins to perform their biological functions. A deep understanding of the membrane proteins assembly process under physiological conditions is quite important to elucidate both the structure and the function of the cell membranes. Along these lines, in this work, a complete workflow of the cell membrane sample preparation and the correlated AFM and dSTORM imaging analysis methods are presented. A specially designed, angle-controlled sample preparation device was used to prepare the cell membrane samples. The correlated distributions of the specific membrane proteins with the topography of the cytoplasmic side of the cell membranes can be obtained by performing correlative AFM and dSTORM measurements. These methods are ideal for systematically studying the structure of the cell membranes. The proposed method of the sample characterization was not only limited to the measurement of the cell membrane but also can be applied for both biological tissue section analysis and detection.

The functions of DNA-binding proteins are dependent on protein-induced DNA distortion, the binding preference to special sequences, DNA secondary structures, the binding kinetics and the binding affinity. Recent rapid progress in single-molecule imaging and mechanical manipulation technologies have made it possible to directly probe the DNA binding by proteins, footprint the positions of the bound proteins on DNA, quantify the kinetics and the affinity of protein-DNA interactions, and study the interplay of protein binding with DNA conformation and DNA topology. Here, we review the applications of an integrated approach where the single-DNA imaging using atomic force microscopy and the mechanical manipulation of single DNA molecules are combined to study the DNA-protein interactions. We also provide our views on how these findings yield new insights into understanding the roles of several essential DNA architectural proteins.

Temperature-sensitive ion channels, such as those from the TRP family (thermo-TRPs) present in all animal cells, serve to perceive heat and cold sensations. A considerable number of protein structures have been reported for these ion channels, providing a solid basis for revealing their structure-function relationship. Previous functional studies suggest that the thermosensing ability of TRP channels is primarily determined by the properties of their cytosolic domain. Despite their importance in sensing and wide interests in the development of suitable therapeutics, the precise mechanisms underlying acute and steep temperature-mediated channel gating remain enigmatic. Here, we propose a model in which the thermo-TRP channels directly sense external temperature through the formation and dissociation of metastable cytoplasmic domains. An open-close bistable system is described in the framework of equilibrium thermodynamics, and the middle-point temperature T_½ similar to the V_½ parameter for a voltage-gating channel is defined. Based on the relationship between channel opening probability and temperature, we estimate the change in entropy and enthalpy during the conformational change for a typical thermosensitive channel. Our model is able to accurately reproduce the steep activation phase in experimentally determined thermal-channel opening curves, and thus should greatly facilitate future experimental verification.

Telomere DNA assumes a high-order G-quadruplex (G4) structure, stabilization of which prevents telomere lengthening by telomerase in cancer. Through applying combined molecular simulation methods, an investigation on the selective binding mechanism of anionic phthalocyanine 3,4',4'',4'''-tetrasulfonic acid (APC) and human hybrid (3 + 1) G4s was firstly performed at the atomic level. Compared to the groove binding mode of APC and the hybrid type I (hybrid-I) telomere G4, APC preferred to bind to the hybrid type II (hybrid-II) telomere G4 via end-stacking interactions, which showed much more favorable binding free energies. Analyses of the non-covalent interaction and binding free energy decomposition revealed a decisive role of van der Waals interaction in the binding of APC and telomere hybrid G4s. And the binding of APC and hybrid-II G4 that showed the highest binding affinity adopted the end-stacking binding mode to form the most extensive van der Waals interactions. These findings add new knowledge to the design of selective stabilizers targeting telomere G4 in cancer.

Fluorescence microscopy and electron microscopy complement each other as the former provides labelling and localisation of specific molecules and target structures while the latter possesses excellent revolving power of fine structure in context. These two techniques can combine as correlative light and electron microscopy (CLEM) to reveal the organisation of materials within the cell. Frozen hydrated sections allow microscopic observations of cellular components in situ in a near-native state and are compatible with superresolution fluorescence microscopy and electron tomography if sufficient hardware and software support is available and a well-designed protocol is followed. The development of superresolution fluorescence microscopy greatly increases the precision of fluorescence annotation of electron tomograms. Here, we provide detailed instructions on how to perform cryogenic superresolution CLEM on vitreous sections. From fluorescence-labelled cells to high pressure freezing, cryo-ultramicrotomy, cryogenic single-molecule localisation microscopy, cryogenic electron tomography and image registration, electron tomograms with features of interest highlighted by superresolution fluorescence signals are expected to be obtained.

The brain is one of the most complex organs in nature. In this organ, multiple neurons, neuron clusters, or multiple brain regions are interconnected to form a complex structural network where various brain functions are completed through interaction. In recent years, multiple tools and techniques have been developed to analyze the composition of different cell types in the brain and to construct the brain atlas on macroscopic, mesoscopic, and microscopic levels. Meanwhile, researchers have found that many neuropsychiatric diseases, such as Parkinson's disease, Alzheimer's disease, and Huntington's disease, are closely related to abnormal changes of brain structure, which means the investigation in brain structure not only provides a new idea for understanding the pathological mechanism of the diseases, but also provides imaging markers for early diagnosis and potential treatment. This article pays attention to the research of human brain structure, reviews the research progress of human brain structure and the structural mechanism of neurodegenerative diseases, and discusses the problems and prospects in the field.