2014年诺贝尔化学奖

<正>瑞典皇家科学院决定将2014年诺贝尔化学奖授予Eric Betzig、Stefan W.Hell和William E.Moerner以表彰他们发明了超高分辨率荧光显微镜。超越光学显微镜极限——超高分辨率荧光显微镜的发展通过纳米显微镜(nanoscopy),科学家们可以在细胞中观察到单个分子的运动。他们可以看到活细胞中的单个分子。他们可以看到在脑的两个神经细胞之间如何产生突触;能够在导致帕金森病和亨廷顿舞蹈病的蛋白质聚集时观察它们;可以在受精     

运用结构光照明的活细胞超高分辨率成像技术

<正>进入21世纪以来出现了多种超高分辨率荧光成像技术,打破了光学分辨率的极限,将光学分辨率提高到几十纳米的尺度,可以用来观察精细的细胞内器官的结构和位置信息,因此被广泛地应用于生物学研究中.超高分辨率荧光成像技术主要分为三大类,基于受激发射光淬灭(stimulated emission depletion,STED)技术,基于单分子开关的超高分辨率定位技术(包括光激活定位显微成像术     

超高分辨率显微技术研究进展CSCD

光学显微成像具有极为悠久的历史,但一直以来,光学成像一直受到衍射极限的限制而分辨率无法突破200 nm。近年来,超高分辨率显微技术的发展使得光学显微成像分辨率达到了20 nm以下。值得庆贺的是,德国科学家Stefan Hell、美国科学家Eric Betzig和William Moerner因其在超高分辨率显微技术方面的突出贡献获得了2014年的诺贝尔化学奖。在这篇文章中,我们就简要介绍一下超高分辨率显微技术的发展和应用,并带领读者一同寻访大师的科学足迹。     

超高分辨率显微技术研究进展

光学显微成像具有极为悠久的历史,但一直以来,光学成像一直受到衍射极限的限制而分辨率无法突破200 nm。近年来,超高分辨率显微技术的发展使得光学显微成像分辨率达到了20 nm以下。值得庆贺的是,德国科学家Stefan Hell、美国科学家Eric Betzig和William Moerner因其在超高分辨率显微技术方面的突出贡献获得了2014年的诺贝尔化学奖。在这篇文章中,我们就简要介绍一下超高分辨率显微技术的发展和应用,并带领读者一同寻访大师的科学足迹。     

单分子层次上相互作用自动检测

任何生命过程都与分子间相互作用有关。这些相互作用决定了生物分子间的＂交流＂方式,组成了生物过程的基本语言。Müller教授研究组发展了一种全自动＂机器人＂（一种全自动原子力显微镜）,可以通过检测细胞上的＂分子机器＂分析分子间相互作用。为了实现这样的目标,该仪器需要将不同的空间尺度联系起来：宏观尺度的悬臂利用其微观尺度的针尖与纳米尺度的蛋白质相接触,进而在亚纳米的尺度上定位与检测分子间相互作用。这项技术能够帮助人们以亚纳米尺度的分辨率定位细胞内分子机器的相互作用位置,并且观察分子间相互作用如何驱动这些分子机器行使功能。在药物筛选研究领域,该技术可以被用来检测配体以及抑制剂与蛋白质结合的位点和强度,还可以检测受体的不同功能状态。     

几种超分辨率荧光显微技术的原理和近期进展

在生命科学领域,人们常常需要在细胞内精确定位特定的蛋白质以研究其位置与功能的关系．多年来,宽场/共聚焦荧光显微镜的分辨率受限于光的阿贝/瑞利极限,不能分辨出200 nm以下的结构．近年来,随着新的荧光探针和成像理论的出现,研究者开发了多种实现超出普通共聚焦显微镜分辨率的三维超分辨率成像方法．主要介绍这些方法的原理、近期进展和发展趋势．介绍了光源的点扩散函数(point spread function, PSF)的概念和传统分辨率的定义,阐述了提高xy平面分辨率的方法．通过介绍单分子荧光成像技术,引入了单分子成像定位精度的概念,介绍了基于单分子成像的超分辨率显微成像方法,包括光激活定位显微技术(photoactivated localization microscopy, PALM)和随机光学重构显微技术(stochastic optical reconstruction microscopy, STORM)．介绍了两大类通过改造光源的点扩散函数来提高成像分辨率的方法,分别是受激发射损耗显微技术(stimulated emission depletion, STED)和饱和结构照明显微技术(saturated structure illumination microscopy, SSIM)．比较了不同的z轴提取信息的方法,并阐述了这些方法与xy平面上的超分辨率显微成像技术相结合所得到的各种三维超分辨率显微成像技术的优劣．探讨了目前超分辨率显微成像的发展极限和方向．     

PALM成像中激光强度和定位精度相关性的研究

近十年来,基于单分子定位的PALM成像技术快速发展,将显微镜的分辨率提高到了2-25nm。本文发现PALM成像过程中采用的激发光强度与成像的定位精度之间有密切的联系。我们分别选择了PALM成像使用的光激活荧光蛋白、光转换荧光蛋白和光开关荧光蛋白中最常用的荧光蛋白进行验证。实验发现伴随激光强度的增加,大部分荧光蛋白的光子数先升高然后趋于饱和,背景噪声几乎线性升高。进一步分析发现荧光蛋白的定位误差随着激光强度增强先降低后升高,因此选用合适的激光强度在PALM成像实验中至关重要。如何提高PALM成像的分辨率一直是科学家研究的热点,本研究内容可以指导研究人员在PALM成像中选用合适的激发光强度,从而得到高分辨率的图像。     

综述: 冷冻超分辨光电融合成像技术 ——新挑战，新机遇

冷冻超分辨光电融合成像技术近年来发展迅速,该技术结合了荧光显微镜特异性标记与冷冻电镜超高分辨率的优势,成为细胞原位结构研究的新手段,有望发展成为下一代成像技术.本文从发展背景、应用领域等几个方面,介绍了冷冻超分辨光电融合成像技术的概况及未来发展前景.     

冷冻超分辨光电融合成像技术——新挑战,新机遇

冷冻超分辨光电融合成像技术近年来发展迅速,该技术结合了荧光显微镜特异性标记与冷冻电镜超高分辨率的优势,成为细胞原位结构研究的新手段,有望发展成为下一代成像技术.本文从发展背景、应用领域等几个方面,介绍了冷冻超分辨光电融合成像技术的概况及未来发展前景.     

原子力显微术在生物研究中的应用

原子力显微术不仅能够提供样品表面纳米级别分辨率的三维图像数据,而且能够对pN级微小力进行测量,同时将两者结合发展出的TREC（topography and recognition）显微术还能够在进行高分辨成像的同时实现对特定分子的定位。原子力显微术的这些特点使之成为生物化学、细胞生物学等生物研究的有利工具。本文主要介绍了原子力显微镜高分辨成像和检测生物分子识别的原理,以及TREC显微术在生物学上的应用。     

Quantitative analysis of photoactivated localization microscopy (PALM) datasets using pair-correlation analysis

Pointillistic based super-resolution techniques, such as photoactivated localization microscopy (PALM), involve multiple cycles of sequential activation, imaging, and precise localization of single fluorescent molecules. A super-resolution image, having nanoscopic structural information, is then constructed by compiling all the image sequences. Because the final image resolution is determined by the localization precision of detected single molecules and their density, accurate image reconstruction requires imaging of biological structures labeled with fluorescent molecules at high density. In such image datasets, stochastic variations in photon emission and intervening dark states lead to uncertainties in identification of single molecules. This, in turn, prevents the proper utilization of the wealth of information on molecular distribution and quantity. A recent strategy for overcoming this problem is pair-correlation analysis applied to PALM. Using rigorous statistical algorithms to estimate the number of detected proteins, this approach allows the spatial organization of molecules to be quantitatively described.     

Live-cell 3D super-resolution imaging in thick biological samples

We demonstrate three-dimensional (3D) super-resolution live-cell imaging through thick specimens (50-150 μm), by coupling far-field individual molecule localization with selective plane illumination microscopy (SPIM). The improved signal-to-noise ratio of selective plane illumination allows nanometric localization of single molecules in thick scattering specimens without activating or exciting molecules outside the focal plane. We report 3D super-resolution imaging of cellular spheroids.     

Crystal ball: Fluorescence in situ hybridization in the age of super-resolution microscopy

Super-resolution microscopy encompasses a suite of cutting edge microscopy methods able to surpass the resolution limits of light microscopy. The recent commercial availability of super-resolution microscopy is advancing many fields of biology. In this crystal ball forward look, we briefly examine the perspectives of combining super-resolution microscopy and fluorescence in situ hybridization (FISH). We strongly believe, based on first evidence presented here, that using super-resolution microscopy in environmental microbiology has the potential to reshape the way we analyze the results obtained with FISH, by improving both the localization and quantification of target molecules.     

Nanoscale Imaging of Caveolin-1 Membrane Domains In Vivo

Light microscopy enables noninvasive imaging of fluorescent species in biological specimens, but resolution is generally limited by diffraction to ~200–250 nm. Many biological processes occur on smaller length scales, highlighting the importance of techniques that can image below the diffraction limit and provide valuable single-molecule information. In recent years, imaging techniques have been developed which can achieve resolution below the diffraction limit. Utilizing one such technique, fluorescence photoactivation localization microscopy (FPALM), we demonstrated its ability to construct super-resolution images from single molecules in a living zebrafish embryo, expanding the realm of previous super-resolution imaging to a living vertebrate organism. We imaged caveolin-1 in vivo, in living zebrafish embryos. Our results demonstrate the successful image acquisition of super-resolution images in a living vertebrate organism, opening several opportunities to answer more dynamic biological questions in vivo at the previously inaccessible nanoscale.     

Quantitative multicolor super-resolution microscopy reveals tetherin HIV-1 interaction

Virus assembly and interaction with host-cell proteins occur at length scales below the diffraction limit of visible light. Novel super-resolution microscopy techniques achieve nanometer resolution of fluorescently labeled molecules. The cellular restriction factor tetherin (also known as CD317, BST-2 or HM1.24) inhibits the release of human immunodeficiency virus 1 (HIV-1) through direct incorporation into viral membranes and is counteracted by the HIV-1 protein Vpu. For super-resolution analysis of HIV-1 and tetherin interactions, we established fluorescence labeling of HIV-1 proteins and tetherin that preserved HIV-1 particle formation and Vpu-dependent restriction, respectively. Multicolor super-resolution microscopy revealed important structural features of individual HIV-1 virions, virus assembly sites and their interaction with tetherin at the plasma membrane. Tetherin localization to micro-domains was dependent on both tetherin membrane anchors. Tetherin clusters containing on average 4 to 7 tetherin dimers were visualized at HIV-1 assembly sites. Combined biochemical and super-resolution analysis revealed that extended tetherin dimers incorporate both N-termini into assembling virus particles and restrict HIV-1 release. Neither tetherin domains nor HIV-1 assembly sites showed enrichment of the raft marker GM1. Together, our super-resolution microscopy analysis of HIV-1 interactions with tetherin provides new insights into the mechanism of tetherin-mediated HIV-1 restriction and paves the way for future studies of virus-host interactions.     

PALM and STORM: What hides beyond the Rayleigh limit?

Super-resolution imaging allows the imaging of fluorescently labeled probes at a resolution of just tens of nanometers, surpassing classic light microscopy by at least one order of magnitude. Recent advances such as the development of photo-switchable fluorophores, high-sensitivity microscopes and single particle localization algorithms make super-resolution imaging rapidly accessible to the wider life sciences research community. As we take our first steps in deciphering the roles and behaviors of individual molecules inside their living cellular environment, a new world of research opportunities beckons. Here we discuss some of the latest developments achieved with these techniques and emerging areas where super-resolution will give fundamental new “eye” sight to cell biology.     

Nanoscale organization of the pre-synapse: Tracking the neurotransmitter release machinery

Chemical communication is underpinned by the fusion of neurotransmitter-containing synaptic vesicles with the plasma membrane at active zones. With the advent of super-resolution microscopy, the door is now opened to unravel the dynamic remodeling of synapses underpinning learning and memory. Imaging proteins with conventional light microscopy cannot provide submicron information vital to determining the nanoscale organization of the synapse. We will first review the current super-resolution microscopy techniques available to investigate the localization and movement of synaptic proteins and how they have been applied to visualize the synapse. We discuss the new techniques and analytical approaches have provided comprehensive insights into synaptic organization in various model systems. Finally, this review provides a brief update on how these super-resolution techniques and analyses have opened the way to a much greater understanding of the synapse, the fusion and compensatory endocytosis machinery.     

Heptanol-mediated phase separation determines phase preference of molecules in live cell membranes

The localization of many membrane proteins within cholesterol- and sphingolipid-containing microdomains is essential for proper cell signaling and function. These membrane domains, however, are too small and dynamic to be recorded, even with modern super-resolution techniques. Therefore, the association of membrane proteins with these domains can only be detected with biochemical assays that destroy the integrity of cells require pooling of many cells and take a long time to perform. Here, we present a simple membrane fluidizer–induced clustering approach to identify the phase-preference of membrane-associated molecules in individual live cells within 10–15 min. Experiments in phase-separated bilayers and live cells on molecules with known phase preference show that heptanol hyperfluidizes the membrane and stabilizes phase separation. This results in a transition from nanosized to micronsized clusters of associated molecules allowing their identification using routine microscopy techniques. Membrane fluidizer-induced clustering is an inexpensive and easy to implement method that can be conducted at large-scale and allows easy identification of protein partitioning in live cell membranes.     

Super-resolution Imaging of the Cytokinetic Z Ring in Live Bacteria Using Fast 3D-Structured Illumination Microscopy (f3D-SIM)

Imaging of biological samples using fluorescence microscopy has advanced substantially with new technologies to overcome the resolution barrier of the diffraction of light allowing super-resolution of live samples. There are currently three main types of super-resolution techniques – stimulated emission depletion (STED), single-molecule localization microscopy (including techniques such as PALM, STORM, and GDSIM), and structured illumination microscopy (SIM). While STED and single-molecule localization techniques show the largest increases in resolution, they have been slower to offer increased speeds of image acquisition. Three-dimensional SIM (3D-SIM) is a wide-field fluorescence microscopy technique that offers a number of advantages over both single-molecule localization and STED. Resolution is improved, with typical lateral and axial resolutions of 110 and 280 nm, respectively and depth of sampling of up to 30 µm from the coverslip, allowing for imaging of whole cells. Recent advancements (fast 3D-SIM) in the technology increasing the capture rate of raw images allows for fast capture of biological processes occurring in seconds, while significantly reducing photo-toxicity and photobleaching. Here we describe the use of one such method to image bacterial cells harboring the fluorescently-labelled cytokinetic FtsZ protein to show how cells are analyzed and the type of unique information that this technique can provide.     

Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting

We present an analytical method using correlation functions to quantify clustering in super-resolution fluorescence localization images and electron microscopy images of static surfaces in two dimensions. We use this method to quantify how over-counting of labeled molecules contributes to apparent self-clustering and to calculate the effective lateral resolution of an image. This treatment applies to distributions of proteins and lipids in cell membranes, where there is significant interest in using electron microscopy and super-resolution fluorescence localization techniques to probe membrane heterogeneity. When images are quantified using pair auto-correlation functions, the magnitude of apparent clustering arising from over-counting varies inversely with the surface density of labeled molecules and does not depend on the number of times an average molecule is counted. In contrast, we demonstrate that over-counting does not give rise to apparent co-clustering in double label experiments when pair cross-correlation functions are measured. We apply our analytical method to quantify the distribution of the IgE receptor (FcεRI) on the plasma membranes of chemically fixed RBL-2H3 mast cells from images acquired using stochastic optical reconstruction microscopy (STORM/dSTORM) and scanning electron microscopy (SEM). We find that apparent clustering of FcεRI-bound IgE is dominated by over-counting labels on individual complexes when IgE is directly conjugated to organic fluorophores. We verify this observation by measuring pair cross-correlation functions between two distinguishably labeled pools of IgE-FcεRI on the cell surface using both imaging methods. After correcting for over-counting, we observe weak but significant self-clustering of IgE-FcεRI in fluorescence localization measurements, and no residual self-clustering as detected with SEM. We also apply this method to quantify IgE-FcεRI redistribution after deliberate clustering by crosslinking with two distinct trivalent ligands of defined architectures, and we evaluate contributions from both over-counting of labels and redistribution of proteins.