scholarly journals Protein dynamics enables phosphorylation of buried residues in Cdk2/Cyclin A-bound p27

2020 ◽  
Author(s):  
João Henriques ◽  
Kresten Lindorff-Larsen
Keyword(s):  
Protein Phosphorylation ◽  
Protein Dynamics ◽  
Single Molecule ◽  
Protein Function ◽  
Cell Cycle Progression ◽  
Conformational Dynamics ◽  
Protein Structures ◽  
Cyclin A ◽  
General Role ◽  
Wide Range

AbstractProteins carry out a wide range of functions that are tightly regulated in space and time. Protein phosphorylation is the most common post-translation modification of proteins and plays key roles in the regulation of many biological processes. The finding that many phosphorylated residues are not solvent exposed in the unphosphorylated state opens several questions for understanding the mechanism that underlies phosphorylation and how phosphorylation may affect protein structures. First, since kinases need access to the phosphorylated residue, how do such buried residues become modified? Second, once phosphorylated, what are the structural effects of phosphorylation of buried residues and do they lead to changed conformational dynamics. We have used the ternary complex between p27, Cdk2 and Cyclin A to study these questions using enhanced sampling molecular dynamics simulations. In line with previous NMR and single-molecule fluorescence experiments we observe transient exposure of Tyr88 in p27, even in its unphosphorylated state. Once Tyr88 is phosphorylated, we observe a coupling to a second site, thus making Tyr74 more easily exposed, and thereby the target for a second phosphorylation step. Our observations provide atomic details on how protein dynamics plays a role in modulating multi-site phosphorylation in p27, thus supplementing previous experimental observations. More generally, we discuss how the observed phenomenon of transient exposure of buried residues may play a more general role in regulating protein function.Significance StatementProtein phosphorylation is a common post-translation modification and is carried out by kinases. While many phosphorylation sites are located in disordered regions of proteins or in loops, a surprisingly large number of modification sites are buried inside folded domains. This observation led us to ask the question of how kinases gain access to such buried residues. We used the complex between p27, a regulator of cell cycle progression, and Cyclin-dependent kinase 2/Cyclin A to study this problem. We hypothesized that transient exposure of buried tyrosines in p27 to the solvent would make them accessible to kinases, explaining how buried residues get modified. We provide an atomic-level description of these dynamic processes revealing how protein dynamics plays a role in regulation.

scholarly journals Nanopores: a versatile tool to study protein dynamics

2020 ◽  
Author(s):  
Sonja Schmid ◽  
Cees Dekker
Keyword(s):  
Protein Dynamics ◽  
Single Molecule ◽  
Conformational Changes ◽  
Protein Function ◽  
Label Free ◽  
Cellular Functions ◽  
Ensemble Averaging ◽  
Time Resolved ◽  
Wide Range ◽  
Versatile Tool

Abstract Proteins are the active workhorses in our body. These biomolecules perform all vital cellular functions from DNA replication and general biosynthesis to metabolic signaling and environmental sensing. While static 3D structures are now readily available, observing the functional cycle of proteins – involving conformational changes and interactions – remains very challenging, e.g., due to ensemble averaging. However, time-resolved information is crucial to gain a mechanistic understanding of protein function. Single-molecule techniques such as FRET and force spectroscopies provide answers but can be limited by the required labelling, a narrow time bandwidth, and more. Here, we describe electrical nanopore detection as a tool for probing protein dynamics. With a time bandwidth ranging from microseconds to hours, nanopore experiments cover an exceptionally wide range of timescales that is very relevant for protein function. First, we discuss the working principle of label-free nanopore experiments, various pore designs, instrumentation, and the characteristics of nanopore signals. In the second part, we review a few nanopore experiments that solved research questions in protein science, and we compare nanopores to other single-molecule techniques. We hope to make electrical nanopore sensing more accessible to the biochemical community, and to inspire new creative solutions to resolve a variety of protein dynamics – one molecule at a time.

scholarly journals EXPRESS: Single-Molecule Fluorescence Techniques for Membrane Protein Dynamics Analysis

2021 ◽  
pp. 000370282110099
Author(s):  
Ziyu Yang ◽  
Haiqi Xu ◽  
Jiayu Wang ◽  
Wei Chen ◽  
Meiping Zhao
Keyword(s):  
Membrane Protein ◽  
Protein Dynamics ◽  
Single Molecule ◽  
Conformational Dynamics ◽  
Correlation Spectroscopy ◽  
Membrane Receptors ◽  
Biological Macromolecules ◽  
Dynamics Analysis ◽  
Single Molecule Fluorescence ◽  
Membrane Protein Dynamics

Fluorescence-based single molecule techniques, mainly including fluorescence correlation spectroscopy (FCS) and single-molecule fluorescence resonance energy transfer (smFRET), are able to analyze the conformational dynamics and diversity of biological macromolecules. They have been applied to analysis of the dynamics of membrane proteins, such as membrane receptors and membrane transport proteins, due to their superior ability in resolving spatio-temporal heterogeneity and the demand of trace amounts of analytes. In this review, we first introduced the basic principle involved in FCS and smFRET. Then we summarized the labelling and immobilization strategies of membrane protein molecules, the confocal-based and TIRF-based instrumental configuration, and the data processing methods. The applications to membrane protein dynamics analysis are described in detail with the focus on how to select suitable fluorophores, labelling sites, experimental setup and analysis methods. In the last part, the remaining challenges to be addressed and further development in this field are also briefly discussed.

scholarly journals Conformational dynamics is key to understanding loss-of-function of NQO1 cancer-associated polymorphisms and its correction by pharmacological ligands

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Encarnación Medina-Carmona ◽  
Rogelio J. Palomino-Morales ◽  
Julian E. Fuchs ◽  
Esperanza Padín-Gonzalez ◽  
Noel Mesa-Torres ◽  
...  
Keyword(s):  
Protein Dynamics ◽  
Protein Function ◽  
Conformational Dynamics ◽  
Loss Of Function ◽  
Quinone Oxidoreductase ◽  
Protein Levels ◽  
Terminal Domain ◽  
Directional Preference

Abstract Protein dynamics is essential to understand protein function and stability, even though is rarely investigated as the origin of loss-of-function due to genetic variations. Here, we use biochemical, biophysical, cell and computational biology tools to study two loss-of-function and cancer-associated polymorphisms (p.R139W and p.P187S) in human NAD(P)H quinone oxidoreductase 1 (NQO1), a FAD-dependent enzyme which activates cancer pro-drugs and stabilizes several oncosuppressors. We show that p.P187S strongly destabilizes the NQO1 dimer in vitro and increases the flexibility of the C-terminal domain, while a combination of FAD and the inhibitor dicoumarol overcome these alterations. Additionally, changes in global stability due to polymorphisms and ligand binding are linked to the dynamics of the dimer interface, whereas the low activity and affinity for FAD in p.P187S is caused by increased fluctuations at the FAD binding site. Importantly, NQO1 steady-state protein levels in cell cultures correlate primarily with the dynamics of the C-terminal domain, supporting a directional preference in NQO1 proteasomal degradation and the use of ligands binding to this domain to stabilize p.P187S in vivo. In conclusion, protein dynamics are fundamental to understanding loss-of-function in p.P187S and to develop new pharmacological therapies to rescue this function.

scholarly journals Leveraging protein dynamics to identify cancer mutational hotspots using 3D structures

2019 ◽  
Vol 116 (38) ◽  
pp. 18962-18970 ◽  
Author(s):  
Sushant Kumar ◽  
Declan Clarke ◽  
Mark B. Gerstein
Keyword(s):  
Protein Dynamics ◽  
Protein Function ◽  
Large Scale ◽  
Protein Structures ◽  
Structural Data ◽  
The Cancer Genome Atlas ◽  
Detection Methods ◽  
Hotspot Detection ◽  
Driver Genes ◽  
Mutational Hotspots

Large-scale exome sequencing of tumors has enabled the identification of cancer drivers using recurrence-based approaches. Some of these methods also employ 3D protein structures to identify mutational hotspots in cancer-associated genes. In determining such mutational clusters in structures, existing approaches overlook protein dynamics, despite its essential role in protein function. We present a framework to identify cancer driver genes using a dynamics-based search of mutational hotspot communities. Mutations are mapped to protein structures, which are partitioned into distinct residue communities. These communities are identified in a framework where residue–residue contact edges are weighted by correlated motions (as inferred by dynamics-based models). We then search for signals of positive selection among these residue communities to identify putative driver genes, while applying our method to the TCGA (The Cancer Genome Atlas) PanCancer Atlas missense mutation catalog. Overall, we predict 1 or more mutational hotspots within the resolved structures of proteins encoded by 434 genes. These genes were enriched among biological processes associated with tumor progression. Additionally, a comparison between our approach and existing cancer hotspot detection methods using structural data suggests that including protein dynamics significantly increases the sensitivity of driver detection.

LARMD: integration of bioinformatic resources to profile ligand-driven protein dynamics with a case on the activation of estrogen receptor

2019 ◽  
Vol 21 (6) ◽  
pp. 2206-2218 ◽  
Author(s):  
Jing-Fang Yang ◽  
Fan Wang ◽  
Yu-Zong Chen ◽  
Ge-Fei Hao ◽  
Guang-Fu Yang
Keyword(s):  
Estrogen Receptor ◽  
Protein Dynamics ◽  
Protein Function ◽  
Inflammatory Diseases ◽  
Great Difficulty ◽  
Vital Role ◽  
Site Directed Mutagenesis ◽  
Bioinformatic Tools ◽  
Wide Range ◽  
User Friendly

Abstract Protein dynamics is central to all biological processes, including signal transduction, cellular regulation and biological catalysis. Among them, in-depth exploration of ligand-driven protein dynamics contributes to an optimal understanding of protein function, which is particularly relevant to drug discovery. Hence, a wide range of computational tools have been designed to investigate the important dynamic information in proteins. However, performing and analyzing protein dynamics is still challenging due to the complicated operation steps, giving rise to great difficulty, especially for nonexperts. Moreover, there is a lack of web protocol to provide online facility to investigate and visualize ligand-driven protein dynamics. To this end, in this study, we integrated several bioinformatic tools to develop a protocol, named Ligand and Receptor Molecular Dynamics (LARMD, http://chemyang.ccnu.edu.cn/ccb/server/LARMD/ and http://agroda.gzu.edu.cn:9999/ccb/server/LARMD/), for profiling ligand-driven protein dynamics. To be specific, estrogen receptor (ER) was used as a case to reveal ERβ-selective mechanism, which plays a vital role in the treatment of inflammatory diseases and many types of cancers in clinical practice. Two different residues (Ile373/Met421 and Met336/Leu384) in the pocket of ERβ/ERα were the significant determinants for selectivity, especially Met336 of ERβ. The helix H8, helix H11 and H7-H8 loop influenced the migration of selective agonist (WAY-244). These computational results were consistent with the experimental results. Therefore, LARMD provides a user-friendly online protocol to study the dynamic property of protein and to design new ligand or site-directed mutagenesis.

scholarly journals Purification, crystallization and preliminary X-ray diffraction analysis of theN-acetyltransferase SAV0826 fromStaphylococcus aureus

2014 ◽  
Vol 70 (2) ◽  
pp. 211-214
Author(s):  
Parul Srivastava ◽  
Yogesh B. Khandokar ◽  
Jade K. Forwood
Keyword(s):  
Diffraction Analysis ◽  
Single Molecule ◽  
Protein Function ◽  
Bacterial Species ◽  
Diffusion Method ◽  
X Ray Diffraction ◽  
X Ray ◽  
Cell Parameters ◽  
Wide Range ◽  
Antibiotic Drug

Staphylococcus aureusis a prevalent microorganism that is capable of causing a wide range of infections and diseases. Several strains of this bacterial species have developed antibiotic resistance to methicillin and vancomycin, and higher death rates are still being reported each year owing to multidrug-resistant strains. Certain GCN5-relatedN-acetyltransferases (GNATs) exhibit a broad substrate range, including aminoglycosides, histones, other proteins and serotonin, and have been implicated in antibiotic drug resistance. Here, the expression, purification, crystallization and preliminary X-ray diffraction analysis of a GNAT fromS. aureus(SaNAT) are reported. SaNAT was recombinantly expressed and crystallized by the hanging-drop vapour-diffusion method at 296 K, and the crystals diffracted to 1.7 Å resolution on the MX2 beamline at the Australian Synchrotron. The crystals belonged to space groupP43212, with unit-cell parametersa=b= 84.86,c= 49.06 Å, α = β = γ = 90°. A single molecule is likely to be present in the asymmetric unit. A full structural and functional analysis is currently being undertaken to provide novel insights into the protein function, which in turn may provide a basis for drug design.

scholarly journals Overexpression of Cyclin A Inhibits Augmentation of Recombinant Adeno-Associated Virus Transduction by the Adenovirus E4orf6 Protein

1999 ◽  
Vol 73 (12) ◽  
pp. 10010-10019 ◽  
Author(s):  
Mirta Grifman ◽  
Nancie N. Chen ◽  
Guang-ping Gao ◽  
Toni Cathomen ◽  
James M. Wilson ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Cycle Progression ◽  
Cell Cycle Control ◽  
Cyclin A ◽  
Cycle Progression ◽  
Adeno Associated Virus ◽  
P53 Expression ◽  
Reading Frame ◽  
E4 Region ◽  
Wide Range

ABSTRACT The 34-kDa product of adenovirus E4 region open reading frame 6 (E4orf6) dramatically enhances transduction by recombinant adeno-associated virus vectors (rAAV). This is achieved by promoting the conversion of incoming single-stranded viral genomes into transcriptionally competent duplex molecules. The molecular mechanism for enhancing second-strand synthesis is not fully understood. In this study, we analyzed the cellular consequences of E4orf6 expression and the requirements for efficient rAAV transduction mediated by E4orf6. Expression of E4orf6 in 293 cells led to an inhibition of cell cycle progression and an accumulation of cells in S phase. This was preceded by specific degradation of cyclin A and p53, while the levels of other proteins involved in cell cycle control remained unchanged. In addition, the kinase activity of cdc2 was inhibited. We further showed that p53 expression is not necessary or inhibitory for augmentation of rAAV transduction by E4orf6. However, overexpression of cyclin A inhibited E4orf6-mediated enhancement of rAAV transduction. A cyclin A mutant incapable of recruiting protein substrates for cdk2 was unable to inhibit E4orf6-mediated augmentation. In addition, we created an E4orf6 mutant that is selectively defective in rAAV augmentation of transduction. Based on these findings, we suggest that cyclin A degradation represents a viral mechanism to disrupt cell cycle progression, resulting in enhanced viral transduction. Understanding the cellular pathways used during transduction will increase the utility of rAAV vectors in a wide range of gene therapy applications.

NOISE ANALYSIS IN STUDIES OF PROTEIN DYNAMICS AND MOLECULAR TRANSPORT

2004 ◽  
Vol 04 (01) ◽  
pp. L23-L31 ◽  
Author(s):  
SERGEY M. BEZRUKOV
Keyword(s):  
Protein Dynamics ◽  
Single Molecule ◽  
Protein Function ◽  
Molecular Mechanisms ◽  
Single Channel ◽  
Noise Analysis ◽  
Ionic Current ◽  
Low Frequency ◽  
Molecular Transport ◽  
Protein Molecule

Understanding the role of noise at cellular and higher hierarchical levels depends on our knowledge of the physical mechanisms of its generation. Conversely, noise is a rich source of information about these mechanisms. Using channel-forming protein molecules reconstituted into artificial 5-nm-thick insulating lipid films, it is possible to investigate noise in single-molecule experiments and to relate its origins to protein function. Recent progress in this field is reviewed with an emphasis on how this experimental technique can be used to study low-frequency protein dynamics, including not only reversible ionization of sites on the channel-forming protein molecule, but also molecular mechanisms of 1/f-noise generation. Several new applications of the single-molecule noise analysis to membrane transport problem are also addressed. Among those is a study on antibiotic translocation across bacterial walls. High-resolution recording of ionic current through the single channel, formed by the general bacterial porin, OmpF, enables us to resolve single-molecule events of antibiotic translocation.

scholarly journals Molecular fluctuations as a ruler of force-induced protein conformations

2020 ◽  
Author(s):  
Andrew Stannard ◽  
Marc Mora ◽  
Amy E.M. Beedle ◽  
Marta Castro-Lopez ◽  
Stephanie Board ◽  
...  
Keyword(s):  
Single Molecule ◽  
Dynamic Equilibrium ◽  
Conformational Dynamics ◽  
Magnetic Tweezers ◽  
Polymer Physics ◽  
Variance Analysis ◽  
Contour Length ◽  
Stable States ◽  
Wide Range ◽  
Dynamics Simulations

Molecular fluctuations directly reflect the underlying energy landscape. Variance analysis can probe protein dynamics in several biochemistry-driven approaches, yet measurement of probe-independent fluctuations in proteins exposed to mechanical forces remains only accessible through steered molecular dynamics simulations. Using single molecule magnetic tweezers, here we conduct variance analysis to show that individual unfolding and refolding transitions occurring in dynamic equilibrium in a single protein under force are hallmarked by a change in the protein's end-to-end fluctuations, revealing a change in protein stiffness. By unfolding and refolding three structurally distinct proteins under a wide range of constant forces, we demonstrate that the associated change in protein compliance to reach force-induced thermodynamically-stable states scales with the protein's contour length, in agreement with the sequence-independent FJC model of polymer physics. Our findings will help probe the conformational dynamics of proteins exposed to mechanical force at high resolution, of central importance in mechanosensing and mechanotransduction.

scholarly journals Magnetic tweezers meets AFM: ultra-stable protein dynamics across the force spectrum

2021 ◽  
Author(s):  
Alvaro Alonso-Caballero ◽  
Rafael Tapia-Rojo ◽  
Carmen L. Badilla ◽  
Julio M. Fernandez
Keyword(s):  
Protein Dynamics ◽  
Single Molecule ◽  
Magnetic Tweezers ◽  
Spectroscopy Technique ◽  
Mechanical Loads ◽  
Force Microscopy ◽  
Adhesive Protein ◽  
Atomic Force ◽  
Dissipation Of Energy ◽  
Wide Range

Proteins that operate under force—cell adhesion, mechanosensing—exhibit a wide range of mechanostabilities. Single-molecule magnetic tweezers has enabled the exploration of the dynamics under force of these proteins with subpiconewton resolution and unbeatable stability in the 0.1-120 pN range. However, proteins featuring a high mechanostability (>120 pN) have remained elusive with this technique and have been addressed with Atomic Force Microscopy (AFM), which can reach higher forces but displays less stability and resolution. Herein, we develop a magnetic tweezers approach that can apply AFM-like mechanical loads while maintaining its hallmark resolution and stability in a range of forces that spans from 1 to 500 pN. We demonstrate our approach by exploring the folding and unfolding dynamics of the highly mechanostable adhesive protein FimA from the Gram-positive pathogen Actinomyces oris. FimA unfolds at loads >300 pN, while its folding occurs at forces <15 pN, producing a large dissipation of energy that could be crucial for the shock absorption of mechanical challenges during host invasion. Our novel magnetic tweezers approach entails an all-in-one force spectroscopy technique for protein dynamics studies across a broad spectrum of physiologically-relevant forces and timescales.

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