Name: ground state depletion super-resolution imaging in mammalian cells
Uploaded: 2017-11-05T08:30:00
Description: Watch this Scientific Journal Video about Ground State Depletion Super-resolution Imaging in Mammalian Cells at JoVE.com

这项工作得到了从哈哈哈到 r.e.d.i (15SDG25560035) 的资助。作者想承认 Dr. 费尔南多桑塔纳使用他的徕卡 SR 3D 显微镜, 并 Dr. 约翰地狱为好心提供 FP1 抗体。

1. 洗涤玻璃片 <ol> <li> 在样品处理前的前一天, 清洁 #1. 5 玻璃片由 sonicating 在一个 1 M 解决方案的 KOH 为1小时。这将消除片上可能存在的任何荧光污染物. 
	<ol> <li> 用去水彻底冲洗片中的 KOH. </li>
		<li> 一旦在 KOH 中清洗, 将片储存在70% 乙醇中直到准备使用. </li>
	</ol> </li> </ol> 2。镀膜玻璃片 注意: 本节中的步骤应在细胞培养罩中进行, 以防止污?...

<ol>
	<li>Willig, K. I., Rizzoli, S. O., Westphal, V., Jahn, R., Hell, S. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=STED+microscopy+reveals+that+synaptotagmin+remains+clustered+after+synaptic+vesicle+exocytosis.">STED microscopy reveals that synaptotagmin remains clustered after synaptic vesicle exocytosis.</a> Nature. 440 (7086), 935-939 (2006).</li><li>Gustafsson, M. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Nonlinear+structured-illumination+microscopy:+wide-field+fluorescence+imaging+with+theoretically+unlimited+resolution.">Nonlinear structured-illumination microscopy: wide-field fluorescence imaging with theoretically unlimited resolution.</a> Proc Natl Acad Sci U S A. 102 (37), 13081-13086 (2005).</li><li>Betzig, E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Imaging+intracellular+fluorescent+proteins+at+nanometer+resolution.">Imaging intracellular fluorescent proteins at nanometer resolution.</a> Science. 313 (5793), 1642-1645 (2006).</li><li>Hell, S. W., Kroug, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Ground-state-depletion+fluorscence+microscopy:+A+concept+for+breaking+the+diffraction+resolution+limit.">Ground-state-depletion fluorscence microscopy: A concept for breaking the diffraction resolution limit.</a> JAppl Phys B. 60 (5), 495-497 (1995).</li><li>Bretschneider, S., Eggeling, C., Hell, S. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Breaking+the+diffraction+barrier+in+fluorescence+microscopy+by+optical+shelving.">Breaking the diffraction barrier in fluorescence microscopy by optical shelving.</a> Phys Rev Lett. 98 (21), 218103 (2007).</li><li>Flynn, J. M., Santana, L. F., Melov, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Single+cell+transcriptional+profiling+of+adult+mouse+cardiomyocytes.">Single cell transcriptional profiling of adult mouse cardiomyocytes.</a> J Vis Exp. (58), e3302 (2011).</li><li>Davare, M. A., Horne, M. C., Hell, J. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Protein+phosphatase+2A+is+associated+with+class+C+L-type+calcium+channels+(Cav1.2)+and+antagonizes+channel+phosphorylation+by+cAMP-dependent+protein+kinase.">Protein phosphatase 2A is associated with class C L-type calcium channels (Cav1.2) and antagonizes channel phosphorylation by cAMP-dependent protein kinase.</a> J Biol Chem. 275 (50), 39710-39717 (2000).</li><li>Dempsey, G. T., Vaughan, J. C., Chen, K. H., Bates, M., Zhuang, X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Evaluation+of+fluorophores+for+optimal+performance+in+localization-based+super-resolution+imaging.">Evaluation of fluorophores for optimal performance in localization-based super-resolution imaging.</a> Nat Methods. 8 (12), 1027-1036 (2011).</li><li>Chozinski, T. J., Gagnon, L. A., Vaughan, J. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Twinkle,+twinkle+little+star:+photoswitchable+fluorophores+for+super-resolution+imaging.">Twinkle, twinkle little star: photoswitchable fluorophores for super-resolution imaging.</a> FEBS Lett. 588 (19), 3603-3612 (2014).</li><li>Dempsey, G. T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Photoswitching+mechanism+of+cyanine+dyes.">Photoswitching mechanism of cyanine dyes.</a> J Am Chem Soc. 131 (51), 18192-18193 (2009).</li><li>Nahidiazar, L., Agronskaia, A. V., Broertjes, J., van den Broek, B., Jalink, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Optimizing+Imaging+Conditions+for+Demanding+Multi-Color+Super+Resolution+Localization+Microscopy.">Optimizing Imaging Conditions for Demanding Multi-Color Super Resolution Localization Microscopy.</a> PLoS One. 11 (7), e0158884 (2016).</li><li>Ovesny, M., Krizek, P., Borkovec, J., Svindrych, Z., Hagen, G. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=ThunderSTORM:+a+comprehensive+ImageJ+plug-in+for+PALM+and+STORM+data+analysis+and+super-resolution+imaging.">ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging.</a> Bioinformatics. 30 (16), 2389-2390 (2014).</li><li>Veeraraghavan, R., Gourdie, R. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Stochastic+optical+reconstruction+microscopy-based+relative+localization+analysis+(STORM-RLA)+for+quantitative+nanoscale+assessment+of+spatial+protein+organization.">Stochastic optical reconstruction microscopy-based relative localization analysis (STORM-RLA) for quantitative nanoscale assessment of spatial protein organization.</a> Mol Biol Cell. 27 (22), 3583-3590 (2016).</li><li>Ries, J., Kaplan, C., Platonova, E., Eghlidi, H., Ewers, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+simple,+versatile+method+for+GFP-based+super-resolution+microscopy+via+nanobodies.">A simple, versatile method for GFP-based super-resolution microscopy via nanobodies.</a> Nat Methods. 9 (6), 582-584 (2012).</li><li>Dixon, R. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Graded+Ca2+/calmodulin-dependent+coupling+of+voltage-gated+CaV1.2+channels.">Graded Ca2+/calmodulin-dependent coupling of voltage-gated CaV1.2 channels.</a> Elife. 4, (2015).</li><li>Annibale, P., Vanni, S., Scarselli, M., Rothlisberger, U., Radenovic, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Identification+of+clustering+artifacts+in+photoactivated+localization+microscopy.">Identification of clustering artifacts in photoactivated localization microscopy.</a> Nat Methods. 8 (7), 527-528 (2011).</li><li>Nan, X., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Single-molecule+superresolution+imaging+allows+quantitative+analysis+of+RAF+multimer+formation+and+signaling.">Single-molecule superresolution imaging allows quantitative analysis of RAF multimer formation and signaling.</a> Proc Natl Acad Sci U S A. 110 (46), 18519-18524 (2013).</li><li>Fricke, F., Beaudouin, J., Eils, R., Heilemann, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=One,+two+or+three?+Probing+the+stoichiometry+of+membrane+proteins+by+single-molecule+localization+microscopy.">One, two or three? Probing the stoichiometry of membrane proteins by single-molecule localization microscopy.</a> Sci Rep. 5, 14072 (2015).</li></ol>

最近的技术爆炸使得成像超出了衍射极限, 为哺乳动物细胞信号在空间和时间上的复杂性提供了新的窗口。这些技术包括风暴、STED、棕榈、物料供应、SIM 和它们的变体 (例如、dSTORM、FPALM)。这些技术背后的科学家的聪明才智使我们能够绕过物理学定律对光的衍射所施加的限制。尽管取得了这一巨大成就, 但每种技术都做出了某种妥协, 以达到超分辨率, 因此, 有其局限性。细胞生物学家和 biop...

细胞信号反应转换内部和外部环境, 以启动细胞的反应。它们调节人类生理学的各个方面, 作为激素和神经递质释放、心跳、视力、受精和认知功能的基础。这些信号级联的中断可能会有严重的后果, 包括癌症, 帕金森病和阿尔茨海默氏症等病理生理条件。几十年来, 生物学和医学研究人员成功地使用了荧光蛋白、探针和生物传感器, 并以荧光显微镜作为主要工具, 了解这些细胞的精确时空组织信号.
光学技术的优势, 如荧光, 共焦, 或全内反射荧光 (TIRF) 显微镜是他们的灵敏度, 速度和与活细胞成像的兼容性, 而主要的限制是他们的衍射有限的分辨率, 意味着结构或蛋白质复合物小于 200-250 nm 不能解决。随着确定性超分辨率的理论和实际发展 (例如, 受激辐射损耗显微镜 (STED1), 结构化照明显微镜 (SIM2) 或随机超分辨率 (例如, 光定位显微镜 (PALM3), 或基态损耗 (物料供应量4,5), 在荧光显微镜中的横向和轴向分辨率已经超出了衍射屏障, 以数十纳米。因此, 调查人员现在有无与伦比的能力, 以可视化和理解如何蛋白质动力学和组织转化为功能的近分子水平。
基态损耗显微镜后, 个别分子返回 (GSDIM), 或简单的政府物料供应, 因为它是已知的, 绕过衍射限制, 减少同时发射荧光4,5的数量。高能激光用于激发荧光标签的样品, 用光子轰击电子, 并增加他们将经受 "自旋翻转" 的几率, 并从激发态4进入三重或 "暗态"。这实际上耗尽了基态, 因此得名 "基态损耗"。在三重状态, 荧光不发射光子和样品出现变暗。然而, 这些荧光随机返回到基态, 并可以通过几个光子发射 excited-to-ground 状态转换, 然后返回到三重状态。在任何给定的时间荧光发射, 从单个荧光发出的光子爆发在空间上和世俗上不同于邻近的荧光。光子的爆发可以与高斯函数相匹配, 计算的质心与荧光的位置相对应, 它的定位精度取决于透镜的数值孔径 (NA), 光的波长用于激发和关键的是, 每荧光发出的光子数。物料供应处的一个限制是, 由于只有一个荧光的子集在任何时候积极发出, 数千张图像必须收集超过几分钟, 以建立一个完整的本地化地图。较长的采集时间与高激光功率要求相结合, 意味着物料供应处更适合于固定而非活体样品。
本文介绍了用于膜和内质网 (ER) 驻留蛋白的超分辨率显微成像固定样品的制备 (如需消耗品和试剂清单, 请参阅材料表)。如何方便地对此协议进行调整, 以量化心肌细胞肌中 L 型电压门控 ca2 +通道 (cav1.2) 的大小和聚类, 或用于可视化 ER 的细胞分布,被证明。了解这些单元格组件的分布和组织对于了解许多 Ca2个相关的信号级联的启动、翻译和最终功能至关重要。例如, cav1.2 通道对于激发-收缩耦合至关重要, 而受体介导的 ca2 +则可能是哺乳动物细胞中最普遍的信号级联。

<table>
	<tbody>
		<tr>
			<td>KOH</td>
			<td>Thermo Scientific</td>
			<td>P250-500</td>
			<td>To clean coverglass</td>
		</tr>
		<tr>
			<td>#1.5 coverglass 18 x 18 mm</td>
			<td>Marienfeld Superior</td>
			<td>0107032)</td>
			<td>To grow/process/image cells</td>
		</tr>
		<tr>
			<td>10X PBS</td>
			<td>Thermo Scientific</td>
			<td>BP3994</td>
			<td>Dilute to 1X with de-ionized water</td>
		</tr>
		<tr>
			<td>Poly-L-Lysine</td>
			<td>Sigma</td>
			<td>P4832</td>
			<td>Aids with cell adhesion to cover glass</td>
		</tr>
		<tr>
			<td>laminin</td>
			<td>Sigma</td>
			<td>114956-81-9</td>
			<td>Aids with cell adhesion to cover glass</td>
		</tr>
		<tr>
			<td>Medium 199</td>
			<td>Thermo Scientific</td>
			<td>11150-059</td>
			<td>Ventricular myocyte culture media</td>
		</tr>
		<tr>
			<td>DMEM 11995</td>
			<td>Gibco</td>
			<td>11995</td>
			<td>Cell culture media</td>
		</tr>
		<tr>
			<td>Fetal bovine Serum (FBS)</td>
			<td>Thermo Scientific</td>
			<td>10437028</td>
			<td>Media supplement</td>
		</tr>
		<tr>
			<td>Penicillin/streptomycin</td>
			<td>Sigma</td>
			<td>P4333</td>
			<td>Media supplement</td>
		</tr>
		<tr>
			<td>0.05% trypsin-EDTA</td>
			<td>Corning</td>
			<td>25-052-CL</td>
			<td>Cell culture solution</td>
		</tr>
		<tr>
			<td>Lipofectamine 2000</td>
			<td>Invitrogen</td>
			<td>11668-019</td>
			<td>Transient transfection reagent</td>
		</tr>
		<tr>
			<td>Ca2+-free PBS</td>
			<td>Gibco</td>
			<td>1419-144</td>
			<td>Cell culture</td>
		</tr>
		<tr>
			<td>100 % Methanol</td>
			<td>Thermo Fisher Scientific</td>
			<td>A414-4</td>
			<td>Cell Fixation</td>
		</tr>
		<tr>
			<td>Paraformaldehyde</td>
			<td>Electron Microscopy Sciences</td>
			<td>15710</td>
			<td>Cell Fixation</td>
		</tr>
		<tr>
			<td>Glutaraldehyde</td>
			<td>Sigma Aldrich</td>
			<td>SLBR6504V</td>
			<td>Cell Fixation</td>
		</tr>
		<tr>
			<td>SEAblock</td>
			<td>Thermo Scientific</td>
			<td>37527</td>
			<td>BSA or other blocking solution alternatives exist</td>
		</tr>
		<tr>
			<td>Triton-X 100</td>
			<td>Sigma</td>
			<td>T8787</td>
			<td>Detergent to permeabilize cells</td>
		</tr>
		<tr>
			<td>Rabbit anti-CaV1.2 (FP1)</td>
			<td>Gift</td>
			<td>N/A</td>
			<td>Commercial anti-CaV1.2 antibodies exist such as Alomone Labs Rb anti-CaV1.2 (ACC-003)</td>
		</tr>
		<tr>
			<td>Mouse monoclonal anti-RFP</td>
			<td>Rockland Inc.</td>
			<td>200-301-379</td>
			<td>Primary antibody</td>
		</tr>
		<tr>
			<td>Alexa Fluor 647 donket anti-rabbit IgG (H+L)</td>
			<td>Invitrogen (Thermo Scientific)</td>
			<td>A31573</td>
			<td>Secondary antibody</td>
		</tr>
		<tr>
			<td>Alexa Fluor 568 goat anti-mouse IgG (H+L)</td>
			<td>Invitrogen (Thermo Scientific)</td>
			<td>A11031</td>
			<td>Secondary antibody</td>
		</tr>
		<tr>
			<td>Sodium azide</td>
			<td>Sigma</td>
			<td>S2002</td>
			<td>Prevents microbial growth for long term storage of samples</td>
		</tr>
		<tr>
			<td>Catalase</td>
			<td>Sigma</td>
			<td>C40</td>
			<td>Photoswitching buffer ingredient</td>
		</tr>
		<tr>
			<td>Glucose oxidase</td>
			<td>Sigma</td>
			<td>G2133</td>
			<td>Photoswitching buffer ingredient</td>
		</tr>
		<tr>
			<td>Tris</td>
			<td>Sigma</td>
			<td>T6066</td>
			<td>Photoswitching buffer ingredient</td>
		</tr>
		<tr>
			<td>beta-Mercaptoethylamin hydrochloride</td>
			<td>Fisher</td>
			<td>BP2664100</td>
			<td>Photoswitching buffer ingredient</td>
		</tr>
		<tr>
			<td>&#946;-mercaptoethanol</td>
			<td>Sigma</td>
			<td>63689</td>
			<td>Photoswitching buffer ingredient</td>
		</tr>
		<tr>
			<td>NaCl</td>
			<td>Fisher</td>
			<td>S271-3</td>
			<td>Photoswitching buffer ingredient</td>
		</tr>
		<tr>
			<td>Dextrose</td>
			<td>Fisher</td>
			<td>D14-212</td>
			<td>Photoswitching buffer ingredient</td>
		</tr>
		<tr>
			<td>Glass Depression slides</td>
			<td>Neolab</td>
			<td>1 &#8211; 6293</td>
			<td>To mount samples</td>
		</tr>
		<tr>
			<td>Twinsil</td>
			<td>Picodent</td>
			<td>13001000</td>
			<td>To seal coverglass</td>
		</tr>
		<tr>
			<td>sec61&#946;-mCherry plasmid</td>
			<td>Addgene</td>
			<td>49155</td>
			<td></td>
		</tr>
		<tr>
			<td>Leica SR GSD 3D microscope</td>
			<td>Leica</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>ImageJ</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Washing block solution</td>
			<td></td>
			<td></td>
			<td>20 % SEAblock in PBS</td>
		</tr>
		<tr>
			<td>Primary antibody incubation solution</td>
			<td></td>
			<td></td>
			<td>0.5 % Triton-X100, 20 % SEAblock, in PBS</td>
		</tr>
		<tr>
			<td>Secondary antibody incubation solution</td>
			<td></td>
			<td></td>
			<td>1:1000 in PBS</td>
		</tr>
	</tbody>
</table>

ground state depletion super-resolution imaging in mammalian cells

荧光显微镜和细胞生物学的进展是密切相关的, 增强的能力, 可视化细胞事件往往导致戏剧性的飞跃, 我们的理解细胞的功能。超分辨率显微镜的发展和可用性大大扩展了光学分辨率的极限, 从 ~ 250-20 nm。生物学家不再局限于在衍射有限区域内描述分子间的相互作用, 相反, 现在有可能对单个分子的动态相互作用进行可视化定位。在这里, 我们概述了一个协议的可视化和量化的细胞蛋白的地面状态损耗显微镜的固定细胞成像。我们提供的例子来自两种不同的膜蛋白, 一个元素的内质网 translocon, sec61β, 和一个等离子膜局部电压门控 L 型 ca2 +通道 (caV1.2)。讨论了具体的显微镜参数、固定方法、光开关缓冲配方、图像处理的缺陷和挑战。

如导言中所记载的, 有许多不同的超分辨率显微成像模式。该协议, 重点在物料供应的超分辨率成像。有代表性的图像和本地化映射显示在图 2和图 3中。
图 2显示了转染 ER 蛋白的 COS-7 细胞, mCherry-Sec61β, 并使用上述方法进行处理。图 2A<str...

Watch this Scientific Journal Video about Ground State Depletion Super-resolution Imaging in Mammalian Cells at JoVE.com

Ground State Depletion Super-resolution Imaging in Mammalian Cells

本文概述了一种用于检测哺乳动物细胞中的一种或多种等离子和/或胞内膜蛋白的方法。在这里, 我们讨论的好处和考虑使用这种方法的可视化和量化的细胞蛋白。

哺乳动物细胞基态衰竭超分辨成像

Advances in fluorescent microscopy and cell biology are intimately correlated, with the enhanced ability to visualize cellular events often leading to ...

The overall goal of this fluorescent imaging technique is to visualize and quantify cellular proteins in fixed cells at subdiffraction-limited resolution using a form of super-resolution microscopy called ground state depletion microscopy and individual molecule return. This method helps answer key questions in the field of cell biology and membrane biophysics, as it circumvents diffraction-limited resolution, which helps investigators more precisely define, visualize and quantify the distribution of cellular proteins. The main advantage of this protocol is that it enables the acquisition of images with an approximate ten-fold improvement in resolution over conventional fluorescence microscopy imaging approaches, such as confocal microscopy.Demonstrating the procedure will be Oscar Vivas, a post-doc in my laboratory, and Karen Hannigan, a post-doc in Rose Dixon's laboratory. To begin, prepare the cover slips and cells as described in the accompanying text protocol. Then fix the samples and perform immunocytochemistry in order to label the plasma membrane and/or intracellular membrane proteins of interest.Next, prepare the oxygen scavenging Glock solution by first adding 12.5 microliters of a catalase stock solution, 3.5 milligrams of glucose oxidase, and 0.5 microliters of one molar Tris to 49.5 microliters of PBS in a 1.5 milliliter microcentrifuge tube. Close the tube and briefly vortex it to dissolve the components. Then centrifuge the solution for three minutes.Now, prepare the photo switching inducing thial solution by dissolving beta-mercaptoethylamine solution into PBS to a concentration of 100 millimolar and modify the pH to 8.0. Aliquot and store the thial solution in the freezer for up to one week. Immediately before imaging, mix the thial and oxygen scavenging components together with a saline buffer and store the solution on ice.Using 100 microliters of the prepared photo switching buffer, mount cover slips containing stained cells onto the depression slides. Next, seal the edges of the cover slip with a silicone glue to prevent rapid oxidation of the imaging buffer. Wait several minutes until the silicone glue has fully cured, prior to imaging.Otherwise, the cover slip will drift. To begin, select an appropriate laser to illuminate the sample, based on the chosen fluorophore. For an Alexa 647 fluorophore, use a 642 nanometer laser.Next, chose the appropriate dichroic imaging cube and objective lens. Open the imaging software. Select the 2D acquisition mode then set the exposure time to 11 milliseconds.Also, set the EM Gain to 300 and select an appropriate detection threshold. Next, turn on Auto Event Control and set the number of Events Per Images to eight. Enter the Pixel Size as 20 nanometers.In the GSD Tools tab, go to the High Resolution Image Calculation options and ensure that Histogram Mode is selected. To image proteins at the plasma membrane, select TIRF mode and modify the incidence angle to determine the penetration depth. Then, set the laser intensity to 100%in order to send electrons to the dark state.Next, select Single Molecule Detection while pumping and set to acquire automatically when the frame correlation is 0.20. For acquisition, set laser intensity to 50%and the number of acquisition frames to 60, 000. Then begin taking images.To quantify protein cluster size, open the image file of a 10 nanometer histogram single molecule localization map in ImageJ. In the Image menu, go to Adjust and use the Auto option to optimize the brightness and contrast of the image. Then, under the Type menu, choose 8-bit.Next, open the Analyze menu, click Set Scale and enter the values shown here. Then, in the Analyze menu, select Set Measurements and check the box beside the Area option. Back in the Image menu, select Adjust, Threshold, and then select Over/Under.Move the maximum value to 255, the minimum value to one and click Apply. Finally, open the Analyze menu and select Analyze Particles. Place a check mark to select Pixel units, Display results and Summarize.Then set the size to four to infinity, select the Bare Outlines option and click OK.The cell imaged here was transfected with the endoplasmic reticulum protein, mCherry-Sec61 beta, and imaged using both defraction-limited TIRF microscopy and super-resolution GSD microscopy in TIRF mode. These curves represent the diameter of the ER tubules. The image on the right shows an improvement in the lateral resolution and represents a more accurate representation of the structure of ER tubules.The improvement in resolution offered by super-resolution GSD imaging is further demonstrated in these images, showing a labeled cardiac myocyte with an anti-CAV 1.2 antibody. Using GSD mode, the improvement in the lateral resolution is prominent and separate clusters of channels are easier to identify. Once mastered, this protocol can be completed in less than three days.The super-resolution imaging of a single cell takes 10 to 30 minutes, depending on the number of frames required. Following this procedure, other methods like electromicroscopy can be performed in order to answer addition questions like how the fluorescent protein of interest interacts with the complex cellular environment. After watching this video, you should have a good understanding of how to prepare, acquire and analyze samples to visualize one or more cellular proteins for super-resolution microscopy using ground state depletion followed by individual molecule return.

ground-state-depletion-super-resolution-imaging-in-mammalian-cells

Research

JoVE Journal

Biology

Long-term Imaging Mammalian Cells using Wide-Field Microscopy

长期使用宽视场显微镜的成像哺乳动物细胞

科研

生物学

MISSION esiRNA for RNAi Screening in Mammalian Cells

RNA interference (RNAi) is a basic cellular mechanism for the control of gene expression. RNAi is induced by short double-stranded RNAs also known as small interfering RNAs (siRNAs). The short double-stranded RNAs originate from longer double stranded precursors by the activity of Dicer, a protein of the RNase III family of endonucleases. The resulting fragments are components of the RNA-induced silencing complex (RISC), directing it to the cognate target mRNA. RISC cleaves the target mRNA thereby reducing the expression of the encoded protein1,2,3. RNAi has become a powerful and widely used experimental method for loss of gene function studies in mammalian cells utilizing small interfering RNAs.
Currently two main methods are available for the production of small interfering RNAs. One method involves chemical synthesis, whereas an alternative method employs endonucleolytic cleavage of target specific long double-stranded RNAs by RNase III in vitro. Thereby, a diverse pool of siRNA-like oligonucleotides is produced which is also known as endoribonuclease-prepared siRNA or esiRNA. A comparison of efficacy of chemically derived siRNAs and esiRNAs shows that both triggers are potent in target-gene silencing. Differences can, however, be seen when comparing specificity. Many single chemically synthesized siRNAs produce prominent off-target effects, whereas the complex mixture inherent in esiRNAs leads to a more specific knockdown10.
In this study, we present the design of genome-scale MISSION esiRNA libraries and its utilization for RNAi screening exemplified by a DNA-content screen for the identification of genes involved in cell cycle progression. We show how to optimize the transfection protocol and the assay for screening in high throughput. We also demonstrate how large data-sets can be evaluated statistically and present methods to validate primary hits. Finally, we give potential starting points for further functional characterizations of validated hits.

Here we use a human esiRNA library in a high-throughput screen for genes involved in cell division. We demonstrate how to set up and conduct an esiRNA screens, as well as how to analyze and validate the results.

在哺乳动物细胞的RNAi筛选使命esiRNA

RNA interference (RNAi) is a basic cellular mechanism for the control of gene expression. RNAi is induced by short double-stranded RNAs also known as ...

Super-resolution Imaging of the Bacterial Division Machinery

Bacterial cell division requires the coordinated assembly of more than ten essential proteins at midcell1,2. Central to this process is the formation of a ring-like suprastructure (Z-ring) by the FtsZ protein at the division plan3,4. The Z-ring consists of multiple single-stranded FtsZ protofilaments, and understanding the arrangement of the protofilaments inside the Z-ring will provide insight into the mechanism of Z-ring assembly and its function as a force generator5,6. This information has remained elusive due to current limitations in conventional fluorescence microscopy and electron microscopy. Conventional fluorescence microscopy is unable to provide a high-resolution image of the Z-ring due to the diffraction limit of light (~200 nm). Electron cryotomographic imaging has detected scattered FtsZ protofilaments in small C. crescentus cells7, but is difficult to apply to larger cells such as E. coli or B. subtilis. Here we describe the application of a super-resolution fluorescence microscopy method, Photoactivated Localization Microscopy (PALM), to quantitatively characterize the structural organization of the E. coli Z-ring8.
	PALM imaging offers both high spatial resolution (~35 nm) and specific labeling to enable unambiguous identification of target proteins. We labeled FtsZ with the photoactivatable fluorescent protein mEos2, which switches from green fluorescence (excitation = 488 nm) to red fluorescence (excitation = 561 nm) upon activation at 405 nm9. During a PALM experiment, single FtsZ-mEos2 molecules are stochastically activated and the corresponding centroid positions of the single molecules are determined with &lt;20 nm precision. A super-resolution image of the Z-ring is then reconstructed by superimposing the centroid positions of all detected FtsZ-mEos2 molecules.
	Using this method, we found that the Z-ring has a fixed width of ~100 nm and is composed of a loose bundle of FtsZ protofilaments that overlap with each other in three dimensions. These data provide a springboard for further investigations of the cell cycle dependent changes of the Z-ring10 and can be applied to other proteins of interest.

We describe a super-resolution imaging method to probe the structural organization of the bacterial FtsZ-ring, an essential apparatus for cell division. This method is based on quantitative analyses of photoactivated localization microscopy (PALM) images and can be applied to other bacterial cytoskeletal proteins.

超分辨率成像细菌科机械

Bacterial cell division requires the coordinated  assembly of more than ten essential proteins at midcell1,2. Central  to this process is the formation of ...

Depletion of Ribosomal RNA for Mosquito Gut Metagenomic RNA-seq

The mosquito gut accommodates dynamic microbial communities across different stages of the insect's life cycle. Characterization of the genetic capacity and functionality of the gut community will provide insight into the effects of gut microbiota on mosquito life traits. Metagenomic RNA-Seq has become an important tool to analyze transcriptomes from various microbes present in a microbial community. Messenger RNA usually comprises only 1-3% of total RNA, while rRNA constitutes approximately 90%. It is challenging to enrich messenger RNA from a metagenomic microbial RNA sample because most prokaryotic mRNA species lack stable poly(A) tails. This prevents oligo d(T) mediated mRNA isolation. Here, we describe a protocol that employs sample derived rRNA capture probes to remove rRNA from a metagenomic total RNA sample. To begin, both mosquito and microbial small and large subunit rRNA fragments are amplified from a metagenomic community DNA sample. Then, the community specific biotinylated antisense ribosomal RNA probes are synthesized in vitro using T7 RNA polymerase. The biotinylated rRNA probes are hybridized to the total RNA. The hybrids are captured by streptavidin-coated beads and removed from the total RNA. This subtraction-based protocol efficiently removes both mosquito and microbial rRNA from the total RNA sample. The mRNA enriched sample is further processed for RNA amplification and RNA-Seq.

A ribosomal RNA (rRNA) depletion protocol was developed to enrich messenger RNA (mRNA) for RNA-seq of the mosquito gut metatranscriptome. Sample specific rRNA probes, which were used to remove rRNA via subtraction, were created from the mosquito and its gut microbes. Performance of the protocol can result in the removal of approximately 90-99% of rRNA.

核糖体RNA的蚊子肠道宏基因组RNA-seq的枯竭

The mosquito gut accommodates dynamic microbial communities across different stages of the insect's life cycle. Characterization of the genetic capacity ...

Test Samples for Optimizing STORM Super-Resolution Microscopy

STORM is a recently developed super-resolution microscopy technique with up to 10 times better resolution than standard fluorescence microscopy techniques. However, as the image is acquired in a very different way than normal, by building up an image molecule-by-molecule, there are some significant challenges for users in trying to optimize their image acquisition. In order to aid this process and gain more insight into how STORM works we present the preparation of 3 test samples and the methodology of acquiring and processing STORM super-resolution images with typical resolutions of between 30-50 nm. By combining the test samples with the use of the freely available rainSTORM processing software it is possible to obtain a great deal of information about image quality and resolution. Using these metrics it is then possible to optimize the imaging procedure from the optics, to sample preparation, dye choice, buffer conditions, and image acquisition settings. We also show examples of some common problems that result in poor image quality, such as lateral drift, where the sample moves during image acquisition and density related problems resulting in the 'mislocalization' phenomenon.

We describe the preparation of three test samples and how they can be used to optimize and assess the performance of STORM microscopes. Using these examples we show how to acquire raw data and then process it to acquire super-resolution images in cells of approximately 30-50 nm resolution.

试验样品为优化风暴超高分辨率显微镜

STORM is a recently developed super-resolution microscopy technique with up to 10 times better resolution than standard fluorescence microscopy ...

Sample Preparation for Single Virion Atomic Force Microscopy and Super-resolution Fluorescence Imaging

Immobilization of virions to glass surfaces is a critical step in single virion imaging. Here we present a technique&#160;adopted from single molecule imaging assays which allows adhesion of single virions to glass surfaces with specificity. This preparation is based on grafting the surface of the glass with a mixture of PLL-g-PEG and PLL-g-PEG-Biotin, adding a layer of avidin, and finally creating virion anchors through attachment of biotinylated virus specific antibodies. We have applied this technique across a range of experiments including atomic force microscopy (AFM) and super-resolution fluorescence imaging. This sample preparation method results in a control adhesion of the virions to the surface.

The attachment of virions to a surface is a requirement for single virion imaging by Super-resolution fluorescence imaging or atomic force microscopy (AFM). Here we demonstrate a sample preparation method for controlled adhesion of virions to glass surfaces suitable for use in AFM and super-resolution fluorescence imaging.

单病毒原子力显微镜和超分辨率荧光成像的样品制备

Immobilization of virions to glass surfaces is a critical step in single virion imaging. Here we present a technique&#160;adopted from single molecule ...

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 &#8211; 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 &#181;m 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.

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

Spatiotemporal information about dynamic proteins inside live cells is crucial for understanding biology. A type of super-resolution microscopy called fast 3D-structured illumination microscopy (f3D-SIM) reveals unique information about the cytokinetic Z ring in bacteria: both its bead-like appearance and the rapid dynamics of FtsZ within the ring.

在Cytokineticž圈的活细菌超分辨率成像使用快速三维结构照明显微镜（F3D-SIM卡）

Imaging of biological samples using fluorescence microscopy has advanced substantially with new technologies to overcome the resolution barrier of the ...

Imaging Local Ca2+ Signals in Cultured Mammalian Cells

Cytosolic Ca2+ ions regulate numerous aspects of cellular activity in almost all cell types, controlling processes as wide-ranging as gene transcription, electrical excitability and cell proliferation. The diversity and specificity of Ca2+ signaling derives from mechanisms by which Ca2+ signals are generated to act over different time and spatial scales, ranging from cell-wide oscillations and waves occurring over the periods of minutes to local transient Ca2+ microdomains (Ca2+ puffs) lasting milliseconds. Recent advances in electron multiplied CCD (EMCCD) cameras now allow for imaging of local Ca2+ signals with a 128 x 128 pixel spatial resolution at rates of &#62;500 frames sec-1 (fps). This approach is highly parallel and enables the simultaneous monitoring of hundreds of channels or puff sites in a single experiment. However, the vast amounts of data generated (ca. 1 Gb per min) render visual identification and analysis of local Ca2+ events impracticable. Here we describe and demonstrate the procedures for the acquisition, detection, and analysis of local IP3-mediated Ca2+ signals in intact mammalian cells loaded with Ca2+ indicators using both wide-field epi-fluorescence (WF) and total internal reflection fluorescence (TIRF) microscopy. Furthermore, we describe an algorithm developed within the open-source software environment Python that automates the identification and analysis of these local Ca2+ signals. The algorithm localizes sites of Ca2+ release with sub-pixel resolution; allows user review of data; and outputs time sequences of fluorescence ratio signals together with amplitude and kinetic data in an Excel-compatible table.

Imaging Local Ca2+ Signals in Cultured Mammalian Cells

Here we present techniques for imaging local IP3-mediated Ca2+ events using fluorescence microscopy in intact mammalian cells loaded with Ca2+ indicators together with an algorithm that automates identification and analysis of these events.

成像本地CA<sup&gt; 2+</sup&gt;在培养的哺乳动物细胞信号

Cytosolic Ca2+ ions regulate numerous aspects of cellular activity in almost all cell types, controlling processes as wide-ranging as gene transcription, ...

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Super-resolution fluorescence microscopy is currently revolutionizing cell biology research. Its capacity to break the resolution limit of around 300 nm allows for the routine imaging of nanoscale biological complexes and processes. This increase in resolution also means that methods popular in electron microscopy, such as single-particle analysis, can readily be applied to super-resolution fluorescence microscopy. By combining this analytical approach with super-resolution optical imaging, it becomes possible to take advantage of the molecule-specific labeling capacity of fluorescence microscopy to generate structural maps of molecular elements within a metastable structure. To this end, we have developed a novel algorithm &#8212; VirusMapper &#8212; packaged as an easy-to-use, high-performance, and high-throughput ImageJ plugin. This article presents an in-depth guide to this software, showcasing its ability to uncover novel structural features in biological molecular complexes. Here, we present how to assemble compatible data and provide a step-by-step protocol on how to use this algorithm to apply single-particle analysis to super-resolution images.

This manuscript uses the Fiji-based open-source software package VirusMapper to apply single-particle analysis to super-resolution microscopy images in order to generate precise models of nanoscale structure.

与VirusMapper超分辨率显微镜开源单粒子分析

Super-resolution fluorescence microscopy is currently revolutionizing cell biology research. Its capacity to break the resolution limit of around 300 nm ...

Application of High-speed Super-resolution SPEED Microscopy in Live Primary Cilium

The primary cilium is a microtubule-based protrusion on the surface of many eukaryotic cells and contains a unique complement of proteins that function critically in cell motility and signaling. Since cilia are incapable of synthesizing their own protein, nearly 200 unique ciliary proteins need to be trafficked between the cytosol and primary cilia. However, it is still a technical challenge to map three-dimensional (3D) locations of transport pathways for these proteins in live primary cilia due to the limitations of currently existing techniques. To conquer the challenge, recently we have developed and employed a high-speed virtual 3D super-resolution microscopy, termed single-point edge-excitation sub-diffraction (SPEED) microscopy, to determine the 3D spatial location of transport pathways for both cytosolic and membrane proteins in primary cilia of live cells. In this article, we will demonstrate the detailed setup of SPEED microscopy, the preparation of cells expressing fluorescence-protein-labeled ciliary proteins, the real-time single-molecule tracking of individual proteins in live cilium and the achievement of 3D spatial probability density maps of transport routes for ciliary proteins.

Recently we mapped the three-dimensional (3D) spatial locations of transport routes for various proteins translocating inside primary cilia in live cells. Here this paper details the experimental setup, the process of biological samples and the data analyses for the 3D super-resolution fluorescence imaging approach newly applied in live primary cilia.

高速超分辨速度显微镜在活原纤毛中的应用

The primary cilium is a microtubule-based protrusion on the surface of many eukaryotic cells and contains a unique complement of proteins that function ...