The crucial role of intercellular calcium wave propagation triggered by influenza A virus in promoting infection.

Background: Influenza A viruses (IAVs) initially infect a few host cells before spreading to neighboring cells. However, the molecular mechanisms underlying this dissemination remain unclear. We have previously demonstrated that intracellular Ca plays a crucial role in facilitating IAV infection.

Volumetric trans-scale imaging of massive quantity of heterogeneous cell populations in centimeter-wide tissue and embryo.

We established a volumetric trans-scale imaging system with an ultra-large field-of-view (FOV) that enables simultaneous observation of millions of cellular dynamics in centimeter-wide three-dimensional (3D) tissues and embryos. Using a custom-made giant lens system with a magnification of ×2 and a numerical aperture (NA) of 0.25, and a CMOS camera with more than 100 megapixels, we built a trans-scale scope AMATERAS-2, and realized fluorescence imaging with a transverse spatial resolution of approximately 1.

Mesoscale heterogeneity is a critical determinant for spiral pattern formation in developing social amoeba.

Heterogeneity is a critical determinant for multicellular pattern formation. Although the importance of microscale and macroscale heterogeneity at the single-cell and whole-system levels, respectively, has been well accepted, the presence and functions of mesoscale heterogeneity, such as cell clusters with distinct properties, have been poorly recognized. We investigated the biological importance of mesoscale heterogeneity in signal-relaying abilities (excitability) in the self-organization of spiral waves of intercellular communications by studying the self-organized pattern formation in a population of Dictyostelium discoideum cells, a classical signal-relaying system model.

Strength in numbers: Unleashing the potential of trans-scale scope AMATERAS for massive cell quantification.

Singularity biology is a scientific field that targets drastic state changes in multicellular systems, aiming to discover the key cells that induce the state change and investigate the mechanisms behind them. To achieve this goal, we developed a trans-scale optical imaging system (trans-scale scope), that is capable of capturing both macroscale changes across the entire system and the micro-scale behavior of individual cells, surpassing the cell observation capabilities of traditional microscopes. We developed two units of the trans-scale scope, named AMATERAS-1 and -2, which demonstrated the ability to observe multicellular systems consisting of over one million cells in a single field of view with sub-cellular resolution.

Application of the Dynamical Network Biomarker Theory to Raman Spectra.

The dynamical network biomarker (DNB) theory detects the early warning signals of state transitions utilizing fluctuations in and correlations between variables in complex systems. Although the DNB theory has been applied to gene expression in several diseases, destructive testing by microarrays is a critical issue. Therefore, other biological information obtained by non-destructive testing is desirable; one such piece of information is Raman spectra measured by Raman spectroscopy.

Linking substrate and nucleus via actin cytoskeleton in pluripotency maintenance of mouse embryonic stem cells.

Pluripotency of mouse embryonic stem cells is regulated by transcription factor regulatory networks as well as mechanical stimuli sensed by the cells. It has been unclear how the mechanical strain applied to the plasma membrane is transferred to the nucleus in mouse embryonic stem cells (mESCs). We here investigated the machinery of the mechanotransduction based on the finding that spontaneous differentiation of mESCs was inhibited with the downregulation of ROCK2 in cells attached to soft substrates.

Kinesin-binding-triggered conformation switching of microtubules contributes to polarized transport.

Kinesin-1, the founding member of the kinesin superfamily of proteins, is known to use only a subset of microtubules for transport in living cells. This biased use of microtubules is proposed as the guidance cue for polarized transport in neurons, but the underlying mechanisms are still poorly understood. Here, we report that kinesin-1 binding changes the microtubule lattice and promotes further kinesin-1 binding.

Raman spectral signature reflects transcriptomic features of antibiotic resistance in .

To be able to predict antibiotic resistance in bacteria from fast label-free microscopic observations would benefit a broad range of applications in the biological and biomedical fields. Here, we demonstrate the utility of label-free Raman spectroscopy in monitoring the type of resistance and the mode of action of acquired resistance in a bacterial population of , in the absence of antibiotics. Our findings are reproducible.

Cell type discrimination based on image features of molecular component distribution.

Machine learning-based cell classifiers use cell images to automate cell-type discrimination, which is increasingly becoming beneficial in biological studies and biomedical applications. Brightfield or fluorescence images are generally employed as the classifier input variables. We propose to use Raman spectral images and a method to extract features from these spatial patterns and explore the value of this information for cell discrimination.

Raman spectroscopy as a tool for ecology and evolution.

Scientists are always on the lookout for new modalities of information which could reveal new biological features that are useful for deciphering the complexity of biological systems. Here, we introduce Raman spectroscopy as a prime candidate for ecology and evolution. To encourage the integration of this microscopy technique in the field of ecology and evolution, it is crucial to discuss first how Raman spectroscopy fits within the conceptual, technical and pragmatic considerations of ecology and evolution.

Design and development of genetically encoded fluorescent sensors to monitor intracellular chemical and physical parameters.

Over the past decades many researchers have made major contributions towards the development of genetically encoded (GE) fluorescent sensors derived from fluorescent proteins. GE sensors are now used to study biological phenomena by facilitating the measurement of biochemical behaviors at various scales, ranging from single molecules to single cells or even whole animals. Here, we review the historical development of GE fluorescent sensors and report on their current status.

Nano-Raman Scattering Microscopy: Resolution and Enhancement.

Raman scattering microscopy is becoming one of the hot topics in analytical microscopy as a tool for analyzing advanced nanomaterials, such as biomolecules in a live cell for the study of cellular dynamics, semiconductor devices for characterizing strain distribution and contamination, and nanocarbons and nano-2D materials. In this paper, we review the recent progress in the development of Raman scattering microscopy from the viewpoint of spatial resolution and scattering efficiency. To overcome the extremely small cross section of Raman scattering, we discuss three approaches for the enhancement of scattering efficiency and show that the scattering enhancement synergistically increases the spatial resolution.

Protein expression guided chemical profiling of living cells by the simultaneous observation of Raman scattering and anti-Stokes fluorescence emission.

Our current understanding of molecular biology provides a clear picture of how the genome, transcriptome and proteome regulate each other, but how the chemical environment of the cell plays a role in cellular regulation remains much to be studied. Here we show an imaging method using hybrid fluorescence-Raman microscopy that measures the chemical micro-environment associated with protein expression patterns in a living cell. Simultaneous detection of fluorescence and Raman signals, realised by spectrally separating the two modes through the single photon anti-Stokes fluorescence emission of fluorescent proteins, enables the accurate correlation of the chemical fingerprint of a specimen to its physiological state.

Non-label immune cell state prediction using Raman spectroscopy.

The acquired immune system, mainly composed of T and B lymphocytes, plays a key role in protecting the host from infection. It is important and technically challenging to identify cell types and their activation status in living and intact immune cells, without staining or killing the cells. Using Raman spectroscopy, we succeeded in discriminating between living T cells and B cells, and visualized the activation status of living T cells without labeling.

Simultaneous nano-tracking of multiple motor proteins via spectral discrimination of quantum dots.

Simultaneous nanometric tracking of multiple motor proteins was achieved by combining multicolor fluorescent labeling of target proteins and imaging spectroscopy, revealing dynamic behaviors of multiple motor proteins at the sub-diffraction-limit scale. Using quantum dot probes of distinct colors, we experimentally verified the localization precision to be a few nanometers at temporal resolution of 30 ms or faster. One-dimensional processive movement of two heads of a single myosin molecule and multiple myosin molecules was successfully traced.

Full control of polarization state with a pair of electro-optic modulators for polarization-resolved optical microscopy: erratum.

In our previous paper [Appl. Opt.55, 1082 (2016)APOPAI0003-693510.

Dependence of fluorescent protein brightness on protein concentration in solution and enhancement of it.

Fluorescent proteins have been widely used in biology because of their compatibility and varied applications in living specimens. Fluorescent proteins are often undesirably sensitive to intracellular conditions such as pH and ion concentration, generating considerable issues at times. However, harnessing these intrinsic sensitivities can help develop functional probes.

Full control of polarization state with a pair of electro-optic modulators for polarization-resolved optical microscopy.

Full and arbitrary control of polarization states of light using two independent electro-optic modulators is presented. The mechanism of the controllability is theoretically described using the Jones vector and matrix, and the polarization state change with control parameters is geometrically illustrated in the Stokes parameter space. Our theoretical framework involves possible distortions of the polarization state due to optical elements between the polarization controller and measurement point and presents a mechanism for pre-compensating the polarization distortion.

Visualizing the appearance and disappearance of the attractor of differentiation using Raman spectral imaging.

Using Raman spectral imaging, we visualized the cell state transition during differentiation and constructed hypothetical potential landscapes for attractors of cellular states on a state space composed of parameters related to the shape of the Raman spectra. As models of differentiation, we used the myogenic C2C12 cell line and mouse embryonic stem cells. Raman spectral imaging can validate the amounts and locations of multiple cellular components that describe the cell state such as proteins, nucleic acids, and lipids; thus, it can report the state of a single cell.

Nano-scale measurement of biomolecules by optical microscopy and semiconductor nanoparticles.

Over the past decade, great developments in optical microscopy have made this technology increasingly compatible with biological studies. Fluorescence microscopy has especially contributed to investigating the dynamic behaviors of live specimens and can now resolve objects with nanometer precision and resolution due to super-resolution imaging. Additionally, single particle tracking provides information on the dynamics of individual proteins at the nanometer scale both in vitro and in cells.

Visualizing cell state transition using Raman spectroscopy.

System level understanding of the cell requires detailed description of the cell state, which is often characterized by the expression levels of proteins. However, understanding the cell state requires comprehensive information of the cell, which is usually obtained from a large number of cells and their disruption. In this study, we used Raman spectroscopy, which can report changes in the cell state without introducing any label, as a non-invasive method with single cell capability.

Culturing of mouse and human cells on soft substrates promote the expression of stem cell markers.

Substrate elasticity is a potent regulator of the cell state. Soft substrates have been shown to promote the homogeneous self-renewal of mouse embryonic stem cells through the down-regulation of cell-matrix tractions. We therefore investigated whether soft substrates promote the reprogramming of somatic cells into induced pluripotent stem (iPS) cells.