Yasushi Sako

Multiple mechanisms for accumulation of myosin II filaments at the equator during cytokinesis.

Total internal reflection fluorescence microscopy revealed how individual bipolar myosin II filaments accumulate at the equatorial region in dividing Dictyostelium cells. Direct observation of individual filaments in live cells provided us with much convincing information. Myosin II filaments accumulated at the equatorial region by at least two independent mechanisms: (i) cortical flow, which is driven by myosin II motor activities and (ii) de novo association to the equatorial cortex. These two mechanisms were mutually redundant. At the same time, myosin II filaments underwent rapid turnover, repeating their association and dissociation with the actin cortex. Examination of the lifetime of mutant myosin filaments in the cortex revealed that the turnover mainly depended on heavy chain phosphorylation and that myosin motor activity accelerated the turnover. Double mutant myosin II deficient in both motor and phosphorylation still accumulated at the equatorial region, although they displayed no cortical flow and considerably slow turnover. Under this condition, the filaments stayed for a significantly longer time at the equatorial region than at the polar regions, indicating that there are still other mechanisms for myosin II accumulation such as binding partners or stabilizing activity of filaments in the equatorial cortex.

Variational Bayes Analysis of a Photon-Based Hidden Markov Model for Single-Molecule FRET Trajectories

Single-molecule fluorescence resonance energy transfer (smFRET) measurement is a powerful technique for investigating dynamics of biomolecules, for which various efforts have been made to overcome significant stochastic noise. Time stamp (TS) measurement has been employed experimentally to enrich information within the signals, while data analyses such as the hidden Markov model (HMM) have been successfully applied to recover the trajectories of molecular state transitions from time-binned photon counting signals or images. In this article, we introduce the HMM for TS-FRET signals, employing the variational Bayes (VB) inference to solve the model, and demonstrate the application of VB-HMM-TS-FRET to simulated TS-FRET data. The same analysis using VB-HMM is conducted for other models and the previously reported change point detection scheme. The performance is compared to other analysis methods or data types and we show that our VB-HMM-TS-FRET analysis can achieve the best performance and results in the highest time resolution. Finally, an smFRET experiment was conducted to observe spontaneous branch migration of Holliday-junction DNA. VB-HMM-TS-FRET was successfully applied to reconstruct the state transition trajectory with the number of states consistent with the nucleotide sequence. The results suggest that a single migration process frequently involves rearrangement of multiple basepairs.

A RasGTP-Induced Conformational Change in C-RAF Is Essential for Accurate Molecular Recognition

The dysregulation of Ras-RAF signaling is associated with many types of human cancer. However, the kinetic and dynamic features of the mutual molecular recognition of Ras and RAF remain unknown. Here, we developed a technique for imaging single-pair fluorescence resonance energy transfer in living cells, and coupled this technique to single-molecule kinetic analysis to investigate how C-RAF (a subtype of RAF) molecules distinguish the active form of Ras (RasGTP) from the inactive form (RasGDP). Functional fragments of C-RAF containing the Ras-binding domains did not detect the switch in Ras activity in living cells as efficiently as did C-RAF. Single-molecule analysis showed that RasGDP associates with closed-conformation C-RAF, whereas the association of C-RAF with RasGTP immediately triggers the open RAF conformation, which induces an effective interaction between C-RAF and RasGTP. Spontaneous conformational changes from closed C-RAF to the open form rarely occur in quiescent cells. The conformational change in C-RAF is so important to Ras-RAF molecular recognition that C-RAF mutants lacking the conformational change cannot distinguish between RasGDP and RasGTP. The manipulation of the conformation of an effector molecule is a newly identified function of RasGTP.

Dynamically varying interactions between heregulin and ErbB proteins detected by single-molecule analysis in living cells

Heregulin (HRG) belongs to the family of EGFs and activates the receptor proteins ErbB3 and ErbB4 in a variety of cell types to regulate cell fate. The interactions between HRG and ErbB3/B4 are important to the pathological mechanisms underlying schizophrenia and some cancers. Here, we observed the reaction kinetics between fluorescently labeled single HRG molecules and ErbB3/B4 on the surfaces of MCF-7 human breast cancer cells. The equilibrium association and the dissociation from equilibrium were also measured using single-molecule imaging techniques. The unitary association processes mirrored the EGF and ErbB1 interactions in HeLa cells [Teramura Y, et al. (2006) EMBO J 25:4215–4222], suggesting that the predimerization of the receptors, followed by intermediate formation (between the first and second ligand-binding events to a receptor dimer), accelerated the formation of doubly liganded signaling dimers of the receptor molecules. However, the dissociation analysis suggested that the first HRG dissociation from the doubly liganded dimer was rapid, but the second dissociation from the singly liganded dimer was slow. The dissociation rate constant from the liganded monomer was intermediate. The dynamic changes in the association and dissociation kinetics in relation to the dimerization of ErbB displayed negative cooperativity, which resulted in apparent low- and high-affinity sites of HRG association on the cell surface.

Single-Molecule Imaging of Fluorescent Proteins Expressed in Living Cells

This chapter focuses on single-molecule imaging (SMI) in living cells using green fluorescent protein (GFP) or its related fluorescent protein tags (GFPs). Use of GFPs is a convenient technique to achieve molecular imaging of most proteins in living cells. However, because of difficulties in preparing samples suitable for SMI and the instability of fluorescence signals, special care is required for SMI using GFPs in living cells. Techniques for vector preparation, protein expression, sample preparation, microscopy, and image processing for SMI of GFPs in living cells are discussed in this chapter, along with examples of imaging applications. Double labeling of single molecules and single-pair fluorescent resonance energy transfer (spFRET) are possible in living cells using GFP and YFP as fluorescent tags. The limitations of SMI using GFPs are also discussed.

Origin of the low thermal isomerization rate of rhodopsin chromophore

Low dark noise is a prerequisite for rod cells, which mediate our dim-light vision. The low dark noise is achieved by the extremely stable character of the rod visual pigment, rhodopsin, which evolved from less stable cone visual pigments. We have developed a biochemical method to quickly evaluate the thermal activation rate of visual pigments. Using an isomerization locked chromophore, we confirmed that thermal isomerization of the chromophore is the sole cause of thermal activation. Interestingly, we revealed an unexpected correlation between the thermal stability of the dark state and that of the active intermediate MetaII. Furthermore, we assessed key residues in rhodopsin and cone visual pigments by mutation analysis and identified two critical residues (E122 and I189) in the retinal binding pocket which account for the extremely low thermal activation rate of rhodopsin.

Power law relationship between cell cycle duration and cell volume in the early embryonic development of Caenorhabditis elegans.

Cell size is a critical factor for cell cycle regulation. In Xenopus embryos after midblastula transition (MBT), the cell cycle duration elongates in a power law relationship with the cell radius squared. This correlation has been explained by the model that cell surface area is a candidate to determine cell cycle duration. However, it remains unknown whether this second power law is conserved in other animal embryos. Here, we found that the relationship between cell cycle duration and cell size in Caenorhabditis elegans embryos exhibited a power law distribution. Interestingly, the powers of the time-size relationship could be grouped into at least three classes: highly size-correlated, moderately size-correlated, and potentially a size-non-correlated class according to C. elegans founder cell lineages (1.2, 0.81, and <0.39 in radius, respectively). Thus, the power law relationship is conserved in Xenopus and C. elegans, while the absolute powers in C. elegans were different from that in Xenopus. Furthermore, we found that the volume ratio between the nucleus and cell exhibited a power law relationship in the size-correlated classes. The power of the volume relationship was closest to that of the time-size relationship in the highly size-correlated class. This correlation raised the possibility that the time-size relationship, at least in the highly size-correlated class, is explained by the volume ratio of nuclear size and cell size. Thus, our quantitative measurements shed a light on the possibility that early embryonic C. elegans cell cycle duration is coordinated with cell size as a result of geometric constraints between intracellular structures.

Photosystem II antenna phosphorylation-dependent protein diffusion determined by fluorescence correlation spectroscopy

Flexibility of chloroplast thylakoid membrane proteins is essential for plant fitness and survival under fluctuating light environments. Phosphorylation of light-harvesting antenna complex II (LHCII) is known to induce dynamic protein reorganization that fine-tunes the rate of energy conversion in each photosystem. However, molecular details of how LHCII phosphorylation causes light energy redistribution throughout thylakoid membranes still remain unclear. By using fluorescence correlation spectroscopy, we here determined the LHCII phosphorylation-dependent protein diffusion in thylakoid membranes isolated from the green alga Chlamydomonas reinhardtii. As compared to the LHCII dephosphorylation-induced condition, the diffusion coefficient of LHCII increased nearly twofold under the LHCII phosphorylation-induced condition. We also verified the results by using the LHCII phosphorylation-deficient mutant. Our observation suggests that LHCII phosphorylation-dependent protein reorganization occurs along with the changes in the rate of protein diffusion, which would have an important role in mediating light energy redistribution throughout thylakoid membranes.

Microenvironments and different nanoparticle dynamics in living cells revealed by a standard nanoparticle.

For quantitative analysis of nanoparticle diffusions and submicro-environments in living cells, use of newly synthesized silica-based fluorescent nanoparticle (Si-FNP) as a standard nanoprobe is successfully demonstrated. The appropriate characteristics of a standard probe were fully analyzed in vitro by single molecule detection, transmission electron microscopy, and dynamic light scattering. Using fluorescence correlation analysis in single living cells, we quantitatively compared the diffusional properties of the standard Si-FNP with a diameter of 50 nm, peptide coated Si-FNP, streptavidin coated Qdot, and GFP molecule which have different sizes and surface properties. The result demonstrates that the standard Si-FNP without coat is minimally trapped in the vesicles in the process of cellular endocytosis. Interestingly, a large proportion of Si-FNP introduced into the cells by electroporation diffuses freely in the cells during a cell cycle suggesting free diffusing NPs are hardly trapped in the vesicles. The simple but highly sensitive method will provide insight into strategies to understanding the hydrodynamic process of nanoparticle delivery into living cells as well as the cellular microenvironment in the view of submicro-size.

Non-Markovian properties and multiscale hidden Markovian network buried in single molecule time series

We present a novel scheme to extract a multiscale state space network (SSN) from single-molecule time series. The multiscale SSN is a type of hidden Markov model that takes into account both multiple states buried in the measurement and memory effects in the process of the observable whenever they exist. Most biological systems function in a nonstationary manner across multiple timescales. Combined with a recently established nonlinear time series analysis based on information theory, a simple scheme is proposed to deal with the properties of multiscale and nonstationarity for a discrete time series. We derived an explicit analytical expression of the autocorrelation function in terms of the SSN. To demonstrate the potential of our scheme, we investigated single-molecule time series of dissociation and association kinetics between epidermal growth factor receptor (EGFR) on the plasma membrane and its adaptor protein Ash/Grb2 (Grb2) in an in vitro reconstituted system. We found that our formula successfully reproduces their autocorrelation function for a wide range of timescales (up to 3 s), and the underlying SSNs change their topographical structure as a function of the timescale; while the corresponding SSN is simple at the short timescale (0.033-0.1 s), the SSN at the longer timescales (0.1 s to ~3 s) becomes rather complex in order to capture multiscale nonstationary kinetics emerging at longer timescales. It is also found that visiting the unbound form of the EGFR-Grb2 system approximately resets all information of history or memory of the process.