Kinesin-1 structural organization and conformational changes revealed by FRET stoichiometry in live cells

Kinesin motor proteins drive the transport of cellular cargoes along microtubule tracks. How motor protein activity is controlled in cells is unresolved, but it is likely coupled to changes in protein conformation and cargo association. By applying the quantitative method fluorescence resonance energy transfer (FRET) stoichiometry to fluorescent protein (FP)-labeled kinesin heavy chain (KHC) and kinesin light chain (KLC) subunits in live cells, we studied the overall structural organization and conformation of Kinesin-1 in the active and inactive states. Inactive Kinesin-1 molecules are folded and autoinhibited such that the KHC tail blocks the initial interaction of the KHC motor with the microtubule. In addition, in the inactive state, the KHC motor domains are pushed apart by the KLC subunit. Thus, FRET stoichiometry reveals conformational changes of a protein complex in live cells. For Kinesin-1, activation requires a global conformational change that separates the KHC motor and tail domains and a local conformational change that moves the KHC motor domains closer together.     

Automatic detection of single fluorophores in live cells

Recent developments in light microscopy enable individual fluorophores to be observed in aqueous conditions. Biological molecules, labeled with a single fluorophore, can be localized as isolated spots of light when viewed by optical microscopy. Total internal reflection fluorescence microscopy greatly reduces background fluorescence and allows single fluorophores to be observed inside living cells. This advance in live-cell imaging means that the spatial and temporal dynamics of individual molecules can be measured directly. Because of the stochastic nature of single molecule behavior a statistically meaningful number of individual molecules must be detected and their separate trajectories in space and time stored and analyzed. Here, we describe digital image processing methods that we have devised for automatic detection and tracking of hundreds of molecules, observed simultaneously, in vitro and within living cells. Using this technique we have measured the diffusive behavior of pleckstrin homology domains bound to phosphoinositide phospholipids at the plasma membrane of live cultured mammalian cells. We found that mobility of these membrane-bound protein domains is dominated by mobility of the lipid molecule to which they are attached and is highly temperature dependent. Movement of PH domains isolated from the tail region of myosin-10 is consistent with a simple random walk, whereas, diffusion of intact PLC-delta1 shows behavior inconsistent with a simple random walk. Movement is rapid over short timescales but much slower at longer timescales. This anomalous behavior can be explained by movement being restricted to membrane regions of 0.7 microm diameter.     

遗传密码扩充技术及其在蛋白质功能研究及标记成像中的应用

遗传密码扩充(genetic code expansion,GCE)技术利用终止密码子将非天然氨基酸掺入到蛋白质中,再结合点击反应对蛋白质实现定点标记.相较于荧光蛋白、标签抗体等其他标记工具,该技术在蛋白标记中使用的化合物分子较小、对蛋白空间结构影响较小,且能通过点击反应实现蛋白分子与染料分子1∶1的化学计量比,从而能...     

Multicolor protein labeling in living cells using mutant β-lactamase-tag technology

Protein labeling techniques using small molecule probes have become important as practical alternatives to the use of fluorescent proteins (FPs) in live cell imaging. These labeling techniques can be applied to more sophisticated fluorescence imaging studies such as pulse-chase imaging. Previously, we reported a novel protein labeling system based on the combination of a mutant β-lactamase (BL-tag) with coumarin-derivatized probes and its application to specific protein labeling on cell membranes. In this paper, we demonstrated the broad applicability of our BL-tag technology to live cell imaging by the development of a series of fluorescence labeling probes for this technology, and the examination of the functions of target proteins. These new probes have a fluorescein or rhodamine chromophore, each of which provides enhanced photophysical properties relative to coumarins for the purpose of cellular imaging. These probes were used to specifically label the BL-tag protein and could be used with other small molecule fluorescent probes. Simultaneous labeling using our new probes with another protein labeling technology was found to be effective. In addition, it was also confirmed that this technology has a low interference with respect to the functions of target proteins in comparison to GFP. Highly specific and fast covalent labeling properties of this labeling technology is expected to provide robust tools for investigating protein functions in living cells, and future applications can be improved by combining the BL-tag technology with conventional imaging techniques. The combination of probe synthesis and molecular biology techniques provides the advantages of both techniques and can enable the design of experiments that cannot currently be performed using existing tools.     

Lucky Imaging: Improved Localization Accuracy for Single Molecule Imaging

We apply the astronomical data-analysis technique, Lucky imaging, to improve resolution in single molecule fluorescence microscopy. We show that by selectively discarding data points from individual single-molecule trajectories, imaging resolution can be improved by a factor of 1.6 for individual fluorophores and up to 5.6 for more complex images. The method is illustrated using images of fluorescent dye molecules and quantum dots, and the in vivo imaging of fluorescently labeled linker for activation of T cells.     

Single-molecule detection of efflux pump machinery in Pseudomonas aeruginosa

Real-time single-molecule microscopy and spectroscopy were used to monitor single molecules moving in and out of live bacterial cells, Pseudomonas aeruginosa. Ethidium bromide (EtBr) was chosen as the fluorescence probe because it emitted a weak fluorescence in aqueous solution (outside of the cells) and became strongly fluorescent as it entered the cells and intercalated with DNA. Such changes in fluorescence intensity by individual EtBr molecules were measured to determine the influx and efflux rates of EtBr by the cells. The transport rates for EtBr through the energized extrusion pumps of these strains (WT, nalB-1, and DeltaABM) of P. aeruginosa were measured and showed stochastic behavior with the average being (2.86+/-0.12), (2.80+/-0.13), and (2.74+/-0.39) x s(-1), respectively. The transport rates of the three strains were independent of substrate concentration at the single-molecule level. In contrast to bulk (many molecules) measurements, single-molecule detection allowed the influx and efflux kinetics to be observed in low substrate concentrations at the molecular level.     

A Combination of Diffusion and Active Translocation Localizes Myosin 10 to the Filopodial Tip

Myosin 10 is an actin-based molecular motor that localizes to the tips of filopodia in mammalian cells. To understand how it is targeted to this distinct region of the cell, we have used total internal reflection fluorescence microscopy to study the movement of individual full-length and truncated GFP-tagged molecules. Truncation mutants lacking the motor region failed to localize to filopodial tips but still bound transiently at the plasma membrane. Deletion of the single α-helical and anti-parallel coiled-coil forming regions, which lie between the motor and pleckstrin homology domains, reduced the instantaneous velocity of intrafilopodial movement but did not affect the number of substrate adherent filopodia. Deletion of the anti-parallel coiled-coil forming region, but not the EKR-rich region of the single α-helical domain, restored intrafilopodial trafficking, suggesting this region is important in determining myosin 10 motility. We propose a model by which myosin 10 rapidly targets to the filopodial tip via a sequential reduction in dimensionality. Molecules first undergo rapid diffusion within the three-dimensional volume of the cell body. They then exhibit periods of slower two-dimensional diffusion in the plane of the plasma membrane. Finally, they move in a unidimensional, highly directed manner along the polarized actin filament bundle within the filopodium becoming confined to a single point at the tip. Here we have observed directly each phase of the trafficking process using single molecule fluorescence imaging of live cells and have quantified our observations using single particle tracking, autocorrelation analysis, and kymographs.     

Velocity, Processivity, and Individual Steps of Single Myosin V Molecules in Live Cells

We report the tracking of single myosin V molecules in their natural environment, the cell. Myosin V molecules, labeled with quantum dots, are introduced into the cytoplasm of living HeLa cells and their motion is recorded at the single molecule level with high spatial and temporal resolution. We perform an intracellular measurement of key parameters of this molecular transporter: velocity, processivity, step size, and dwell time. Our experiments bridge the gap between in vitro single molecule assays and the indirect measurements of the motor features deduced from the tracking of organelles in live cells.     

The spatiotemporal pattern of Src activation at lipid rafts revealed by diffusion-corrected FRET imaging

Genetically encoded biosensors based on fluorescence resonance energy transfer (FRET) have been widely applied to visualize the molecular activity in live cells with high spatiotemporal resolution. However, the rapid diffusion of biosensor proteins hinders a precise reconstruction of the actual molecular activation map. Based on fluorescence recovery after photobleaching (FRAP) experiments, we have developed a finite element (FE) method to analyze, simulate, and subtract the diffusion effect of mobile biosensors. This method has been applied to analyze the mobility of Src FRET biosensors engineered to reside at different subcompartments in live cells. The results indicate that the Src biosensor located in the cytoplasm moves 4-8 folds faster (0.93+/-0.06 microm(2)/sec) than those anchored on different compartments in plasma membrane (at lipid raft: 0.11+/-0.01 microm(2)/sec and outside: 0.18+/-0.02 microm(2)/sec). The mobility of biosensor at lipid rafts is slower than that outside of lipid rafts and is dominated by two-dimensional diffusion. When this diffusion effect was subtracted from the FRET ratio images, high Src activity at lipid rafts was observed at clustered regions proximal to the cell periphery, which remained relatively stationary upon epidermal growth factor (EGF) stimulation. This result suggests that EGF induced a Src activation at lipid rafts with well-coordinated spatiotemporal patterns. Our FE-based method also provides an integrated platform of image analysis for studying molecular mobility and reconstructing the spatiotemporal activation maps of signaling molecules in live cells.     

Forcing a connection: impacts of single-molecule force spectroscopy on in vivo tension sensing

Mechanical tension plays a large role in cell development ranging from morphology to gene expression. On the molecular level, the effects of tension can be seen in the dynamic arrangement of membrane proteins as well as the recruitment and activation of intracellular proteins. Forces applied to biopolymers during in vitro force measurements offer greater understanding of the effects of tension on molecules in live cells, and experimental techniques involving test tubes and live cells can often overlap. Indeed, when forces exerted on cellular components can be calibrated ex vivo with force spectroscopy, a powerful tool is available for researchers in probing cellular mechanotransduction on the molecular scale. This review will discuss the techniques used in measuring both cellular traction forces and single-molecule force spectroscopy. Emphasis will be placed on the use of fluorescence reporter systems for the development of in vivo tension sensors that can be used for calibration with single molecule force methods.     

Single Molecule Imaging Reveals Differences in Microtubule Track Selection Between Kinesin Motors

Cells generate diverse microtubule populations by polymerization of a common α/β-tubulin building block. How microtubule associated proteins translate microtubule heterogeneity into specific cellular functions is not clear. We evaluated the ability of kinesin motors involved in vesicle transport to read microtubule heterogeneity by using single molecule imaging in live cells. We show that individual Kinesin-1 motors move preferentially on a subset of microtubules in COS cells, identified as the stable microtubules marked by post-translational modifications. In contrast, individual Kinesin-2 (KIF17) and Kinesin-3 (KIF1A) motors do not select subsets of microtubules. Surprisingly, KIF17 and KIF1A motors that overtake the plus ends of growing microtubules do not fall off but rather track with the growing tip. Selection of microtubule tracks restricts Kinesin-1 transport of VSVG vesicles to stable microtubules in COS cells whereas KIF17 transport of Kv1.5 vesicles is not restricted to specific microtubules in HL-1 myocytes. These results indicate that kinesin families can be distinguished by their ability to recognize microtubule heterogeneity. Furthermore, this property enables kinesin motors to segregate membrane trafficking events between stable and dynamic microtubule populations.     

Two binding partners cooperate to activate the molecular motor Kinesin-1

The regulation of molecular motors is an important cellular problem, as motility in the absence of cargo results in futile adenosine triphosphate hydrolysis. When not transporting cargo, the microtubule (MT)-based motor Kinesin-1 is kept inactive as a result of a folded conformation that allows autoinhibition of the N-terminal motor by the C-terminal tail. The simplest model of Kinesin-1 activation posits that cargo binding to nonmotor regions relieves autoinhibition. In this study, we show that binding of the c-Jun N-terminal kinase-interacting protein 1 (JIP1) cargo protein is not sufficient to activate Kinesin-1. Because two regions of the Kinesin-1 tail are required for autoinhibition, we searched for a second molecule that contributes to activation of the motor. We identified fasciculation and elongation protein zeta1 (FEZ1) as a binding partner of kinesin heavy chain. We show that binding of JIP1 and FEZ1 to Kinesin-1 is sufficient to activate the motor for MT binding and motility. These results provide the first demonstration of the activation of a MT-based motor by cellular binding partners.     

Reverse-engineering of biochemical reaction networks from spatio-temporal correlations of fluorescence fluctuations

Recent developments of fluorescence labeling and highly advanced microscopy techniques have enabled observations of activities of biosignaling molecules in living cells. The high spatial and temporal resolutions of these video microscopy experiments allow detection of fluorescence fluctuations at the timescales approaching those of enzymatic reactions. Such fluorescence fluctuation patterns may contain information about the complex reaction-diffusion system driving the dynamics of the labeled molecule. Here, we have developed a method of identifying the reaction-diffusion system of fluorescently labeled signaling molecules in the cell, by combining spatio-temporal correlation function analysis of fluctuating fluorescent patterns, stochastic reaction-diffusion simulations, and an iterative system identification technique using a simulated annealing algorithm. In this report, we discuss the validity and usability of spatio-temporal correlation functions in characterizing the reaction-diffusion dynamics of biomolecules, and demonstrate application of our reaction-diffusion system identification method to a simple conceptual model for small GTPase activation.     

Imaging of single molecules in live cells

Progress in optical microscopy, combined to the emergence of new fluorescent probes and advanced instrumentation, now permits the imaging of single molecules in fixed and live cells. This extreme detection sensitivity has opened new modalities in cellular imaging. On the one hand, optical images with an unprecedented resolution in the 10-50 nm range, well below the diffraction limit of light, can be recorded. These super-resolution images give new insights into the properties of cellular structures. On the other hand, proteins, either in the membrane or intracellular, can be tracked in live cells and in physiological conditions. Their individual trajectories provide invaluable information on the molecular interactions that control their dynamics and their spatial organization. Single molecule imaging is rapidly becoming a unique tool to understand the biochemical and biophysical processes that determine the properties of molecular assemblies in a cellular context.     

In vivo imaging of autophagy in a mouse stroke model

Recent studies have suggested that autophagy is involved in a neural death pathway following cerebral ischemia. In vivo detection of autophagy could be important for evaluating ischemic neural cell damage for human stroke patients. Using novel green fluorescent protein (GFP)-fused microtubule-associated protein 1 light chain 3 (LC3) transgenic (Tg) mice, in vivo imaging of autophagy was performed at 1, 3 and 6 d after 60 min transient middle cerebral artery occlusion (tMCAO). Ex vivo imaging of autophagy, testing of the autophagy inhibitor 3-methyladenine (3-MA), estern blot analysis, immunohistochemistry, terminal deoxynucleotidyl transferase-mediated dUTP-digoxigenin nick end labeling (TUNEL) and fluorescent analyses were performed on brain sections following tMCAO. In vivo fluorescent signals were detected above the ischemic hemisphere through the skull bone at 1, 3 and 6 d after tMCAO, with a peak at 1 d. Similar results were obtained with ex vivo fluorescence imaging. western blot analysis revealed maximum LC3-I and LC3-II expression at 1 d after tMCAO and fluorescence immunohistochemistry demonstrated that GFP-LC3-positive cells were primarily neuronal, not astroglial or microglial, cells. The number of GFP-LC3/TUNEL double-positive cells was greater in the periischemic area than in the core. These results provided evidence of in vivo autophagy detection, with a peak at 1 d, in a live animal model following cerebral ischemia. This novel technique could be valuable for monitoring autophagic processes in vivo in live stroke patients, as well as for clarifying the detailed role of autophagy in the ischemic brain, as well as in other neurological diseases.     

Discrete interactions in cell adhesion measured by single-molecule force spectroscopy

Cell-cell adhesion mediated by specific cell-surface molecules is essential for multicellular development. Here we quantify de-adhesion forces at the resolution of individual cell-adhesion molecules, by controlling the interactions between single cells and combining single-molecule force spectroscopy with genetic manipulation. Our measurements are focused on a glycoprotein, contact site A (csA), as a prototype of cell-adhesion proteins. csA is expressed in aggregating cells of Dictyostelium discoideum, which are engaged in development of a multicellular organism. Adhesion between two adjacent cell surfaces involves discrete interactions characterized by an unbinding force of 23 +/- 8 pN, measured at a rupture rate of 2.5 +/- 0.5 microm s-1.     

Sample Preparation and Imaging Conditions Affect mEos3.2 Photophysics in Fission Yeast Cells

Photoconvertible fluorescent proteins (PCFPs) are widely used in super-resolution microscopy and studies of cellular dynamics. However, our understanding of their photophysics is still limited, hampering their quantitative application. For example, we do not know the optimal sample preparation methods or imaging conditions to count protein molecules fused to PCFPs by single-molecule localization microscopy in live and fixed cells. We also do not know how the behavior of PCFPs in live cells compares with fixed cells. Therefore, we investigated how formaldehyde fixation influences the photophysical properties of the popular green-to-red PCFP mEos3.2 in fission yeast cells under a wide range of imaging conditions. We estimated photophysical parameters by fitting a three-state model of photoconversion and photobleaching to the time course of fluorescence signal per yeast cell expressing mEos3.2. We discovered that formaldehyde fixation makes the fluorescence signal, photoconversion rate, and photobleaching rate of mEos3.2 sensitive to the buffer conditions likely by permeabilizing the yeast cell membrane. Under some imaging conditions, the time-integrated mEos3.2 signal per yeast cell is similar in live cells and fixed cells imaged in buffer at pH 8.5 with 1 mM DTT, indicating that light chemical fixation does not destroy mEos3.2 molecules. We also discovered that 405-nm irradiation drove some red-state mEos3.2 molecules to enter an intermediate dark state, which can be converted back to the red fluorescent state by 561-nm illumination. Our findings provide a guide to quantitatively compare conditions for imaging mEos3.2-tagged molecules in yeast cells. Our imaging assay and mathematical model are easy to implement and provide a simple quantitative approach to measure the time-integrated signal and the photoconversion and photobleaching rates of fluorescent proteins in cells.     

Spectroscopic characterization of Venus at the single molecule level

Venus is a recently developed, fast maturating, yellow fluorescent protein that has been used as a probe for in vivo applications. In the present work the photophysical characteristics of Venus were analyzed spectroscopically at the bulk and single molecule level. Through time-resolved single molecule measurements we found that single molecules of Venus display pronounced fluctuations in fluorescence emission, with clear fluorescence on- and off-times. These fluorescence intermittencies were found to occupy a broad range of time scales, ranging from milliseconds to several seconds. Such long off-times can complicate the analysis of single molecule counting experiments or single-molecule FRET experiments.     

A SNAP-tagged derivative of HIV-1--a versatile tool to study virus-cell interactions

Fluorescently labeled human immunodeficiency virus (HIV) derivatives, combined with the use of advanced fluorescence microscopy techniques, allow the direct visualization of dynamic events and individual steps in the viral life cycle. HIV proteins tagged with fluorescent proteins (FPs) have been successfully used for live-cell imaging analyses of HIV-cell interactions. However, FPs display limitations with respect to their physicochemical properties, and their maturation kinetics. Furthermore, several independent FP-tagged constructs have to be cloned and characterized in order to obtain spectral variations suitable for multi-color imaging setups. In contrast, the so-called SNAP-tag represents a genetically encoded non-fluorescent tag which mediates specific covalent coupling to fluorescent substrate molecules in a self-labeling reaction. Fusion of the SNAP-tag to the protein of interest allows specific labeling of the fusion protein with a variety of synthetic dyes, thereby offering enhanced flexibility for fluorescence imaging approaches.Here we describe the construction and characterization of the HIV derivative HIV(SNAP), which carries the SNAP-tag as an additional domain within the viral structural polyprotein Gag. Introduction of the tag close to the C-terminus of the matrix domain of Gag did not interfere with particle assembly, release or proteolytic virus maturation. The modified virions were infectious and could be propagated in tissue culture, albeit with reduced replication capacity. Insertion of the SNAP domain within Gag allowed specific staining of the viral polyprotein in the context of virus producing cells using a SNAP reactive dye as well as the visualization of individual virions and viral budding sites by stochastic optical reconstruction microscopy. Thus, HIV(SNAP) represents a versatile tool which expands the possibilities for the analysis of HIV-cell interactions using live cell imaging and sub-diffraction fluorescence microscopy.