4.8 Article

Systematic Tuning of Rhodamine Spirocyclization for Super-resolution Microscopy

期刊

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
卷 143, 期 36, 页码 14592-14600

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jacs.1c05004

关键词

-

资金

  1. Max Planck Society
  2. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [240245660, SFB 1129]
  3. German Federal Ministry of Education and Research (BMBF)
  4. European Research Council [CoG-724489]
  5. European Molecular Biology Laboratory

向作者/读者索取更多资源

This article describes how the structure of rhodamines can be modified to tune the dynamic equilibrium, allowing the same rhodamine to be used to generate fluorescent probes for different purposes.
Rhodamines are the most important class of fluorophores for applications in live-cell fluorescence microscopy. This is mainly because rhodamines exist in a dynamic equilibrium between a fluorescent zwitterion and a nonfluorescent but cell-permeable spirocyclic form. Different imaging applications require different positions of this dynamic equilibrium, and an adjustment of the equilibrium poses a challenge for the design of suitable probes. We describe here how the conversion of the ortho-carboxy moiety of a given rhodamine into substituted acyl benzenesulfonamides and alkylamides permits the systematic tuning of the equilibrium of spirocyclization with unprecedented accuracy and over a large range. This allows one to transform the same rhodamine into either a highly fluorogenic and cell-permeable probe for live-cell-stimulated emission depletion (STED) microscopy or a spontaneously blinking dye for single-molecule localization microscopy (SMLM). We used this approach to generate differently colored probes optimized for different labeling systems and imaging applications.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Multidisciplinary

Reversible Live-Cell Labeling with Retro-engineered HaloTags Enables Long-Term High- and Super-Resolution Imaging

Michael Holtmannspoetter, Eike Wienbeuker, Timo Dellmann, Isabelle Watrinet, Ana J. Garcia-Saez, Kai Johnsson, Rainer Kurre, Jacob Piehler

Summary: Self-labeling enzymes (SLE) like the HaloTag are valuable tools in high and super-resolution fluorescence microscopy. New fluorogenic substrates for SLE allow imaging with excess dye. Two engineered variants of HaloTag7 with restored dehalogenase activity, reHaloTagS (approx. 0.006 s(-1)) and reHaloTagF (approx. 0.055 s(-1)), showed different turnover kinetics in vitro. Imaging with reHaloTag labeling demonstrated 3-5 times enhanced photostability, and single molecule imaging enabled controlled and stable labeling density over extended periods. Combination with structured illumination allowed simultaneous visualization of single molecule diffusion and organellar dynamics. These applications showcase the potential of reHaloTag labeling in advancing fluorescence microscopy techniques.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2023)

Article Cell Biology

Nanoscale structural organization and stoichiometry of the budding yeast kinetochore

Konstanty Cieslinski, Wu Yu-Le, Lisa Nechyporenko, Sarah Janice Hoerner, Duccio Conti, Michal Skruzny, Jonas Ries

Summary: In this study, the authors used single-molecule localization microscopy to visualize individual kinetochore complexes in budding yeast, and proposed a quantitative model of the budding yeast kinetochore based on their comprehensive dataset.

JOURNAL OF CELL BIOLOGY (2023)

Article Cell Biology

Clathrin coats partially preassemble and subsequently bend during endocytosis

Markus Mund, Aline Tschanz, Yu-Le Wu, Felix Frey, Johanna L. Mehl, Marko Kaksonen, Ori Avinoam, Ulrich S. Schwarz, Jonas Ries

Summary: The study reveals the three-dimensional shapes of clathrin coats during endocytosis and introduces a novel Cooperative Curvature Model that accurately describes the changes in shapes and dynamics. The findings provide insights into the mechanism of clathrin coat remodeling during endocytosis and offer a potential general model for clathrin coat remodeling on the plasma membrane.

JOURNAL OF CELL BIOLOGY (2023)

Article Chemistry, Multidisciplinary

Exchangeable HaloTag Ligands for Super-Resolution Fluorescence Microscopy

Julian Kompa, Jorick Bruins, Marius Glogger, Jonas Wilhelm, Michelle S. Frei, Miroslaw Tarnawski, Elisa D'Este, Mike Heilemann, Julien Hiblot, Kai Johnsson

Summary: The specific and covalent labeling of the protein HaloTag with fluorescent probes in living cells makes it a powerful tool for bioimaging. However, the irreversible attachment of the probe to HaloTag precludes imaging applications that require transient binding of the probe and comes with the risk of irreversible photobleaching. Here, we introduce exchangeable ligands for fluorescence labeling of HaloTag (xHTLs) that reversibly bind to HaloTag and that can be coupled to rhodamines of different colors.

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2023)

Article Biochemical Research Methods

Maximum-likelihood model fitting for quantitative analysis of SMLM data

Yu-Le Wu, Philipp Hoess, Aline Tschanz, Ulf Matti, Markus Mund, Jonas Ries

Summary: Quantitative data analysis is crucial for extracting biological insights from the coordinates of single fluorophores in a single-molecule localization microscopy (SMLM) workflow. LocMoFit, an open-source framework, is introduced to fit an arbitrary model to localization coordinates, extract meaningful parameters, and select suitable models. It enables the analysis of complex, heterogeneous, and dynamic structures, and has been demonstrated in assembling multi-protein distribution maps, calculating single-particle averages, and performing time-resolved reconstruction of dynamic processes from static snapshots. Extensive simulation and visualization routines validate the robustness of LocMoFit, and tutorials are provided to enhance users' extraction of information from SMLM data.

NATURE METHODS (2023)

Letter Biochemical Research Methods

Reply to: Assessment of 3D MINFLUX data for quantitative structural biology in cells

Klaus C. Gwosch, Francisco Balzarotti, Jasmin K. Pape, Philipp Hoess, Jan Ellenberg, Jonas Ries, Ulf Matti, Roman Schmidt, Steffen J. Sahl, Stefan W. Hell

NATURE METHODS (2023)

Article Optics

Better than a lens? Increasing the signal-to-noise ratio through pupil splitting

Jan Becker, Takahiro Deguchi, Alexander Juegler, Ronny Foerster, Uwe Huebner, Jonas Ries, Rainer Heintzmann

Summary: This paper proposes a method to improve the signal-to-noise ratio (SNR) of an imaging system by splitting the pupil and simultaneously acquiring and recombining two sub-images. This method achieves better SNR for transmitting high spatial frequency information without capturing more photons.

OPTICA (2023)

Article Biochemical Research Methods

Field-dependent deep learning enables high-throughput whole-cell 3D super-resolution imaging

Shuang Fu, Wei Shi, Tingdan Luo, Yingchuan He, Lulu Zhou, Jie Yang, Zhichao Yang, Jiadong Liu, Xiaotian Liu, Zhiyong Guo, Chengyu Yang, Chao Liu, Zhen-li Huang, Jonas Ries, Mingjie Zhang, Peng Xi, Dayong Jin, Yiming Li

Summary: We propose a deep-learning method for precise localization of spatially variant point emitters, covering the full chip of a modern sCMOS camera. By using a graphic processing unit-based vectorial point spread function fitter, we accurately model the spatially variant PSF of a high numerical aperture objective in the entire field of view. Combined with deformable mirror-based optimal PSF engineering, we demonstrate high-accuracy three-dimensional single-molecule localization microscopy over a large volume, enabling imaging of mitochondria and nuclear pore complexes in entire cells without hardware scanning, with a 100-fold increase in throughput compared to existing techniques.

NATURE METHODS (2023)

Article Multidisciplinary Sciences

Direct observation of motor protein stepping in living cells using MINFLUX

Takahiro Deguchi, Malina K. Iwanski, Eva-Maria Schentarra, Christopher Heidebrecht, Lisa Schmidt, Jennifer Heck, Tobias Weihs, Sebastian Schnorrenberg, Philipp Hoess, Sheng Liu, Veronika Chevyreva, Kyung-Min Noh, Lukas C. Kapitein, Jonas Ries

Summary: We developed a live-cell tracking method with nanometer spatial and millisecond temporal resolution using MINFLUX super-resolution technique. This method allowed us to resolve the precise stepping motion of motor protein kinesin-1 on microtubules in living cells. Tracking of motors on fixed cell microtubules also revealed the architecture of the microtubule cytoskeleton with protofilament resolution.

SCIENCE (2023)

Article Engineering, Electrical & Electronic

MicroFPGA: An affordable FPGA platform for microscope control

Joran Deschamps, Christian Kieser, Philipp Hoess, Takahiro Deguchi, Jonas Ries

Summary: Modern microscopy increasingly relies on microscope automation for improved throughput, reproducibility, and observation of rare events. Arduino microcontrollers are widely used for automation due to their low cost and accessibility, while field programmable gate arrays (FPGA) are capable of high-speed and parallel signal processing. However, configuring FPGA remains complex. In this work, an affordable FPGA called MicroFPGA with an open-source and user-friendly programming language is used to create a versatile microscope control platform.

HARDWAREX (2023)

Review Chemistry, Multidisciplinary

Fluorogenic and Cell-Permeable Rhodamine Dyes for High-Contrast Live-Cell Protein Labeling in Bioimaging and Biosensing

Dongjuan Si, Quanlin Li, Yifan Bao, Jingye Zhang, Lu Wang

Summary: The advancement of fluorescence microscopy techniques has provided new possibilities for observing proteins and understanding their functions in living biological systems. However, traditional organic dyes face challenges in achieving high-contrast live-cell labeling due to their insufficient cell permeability and high background signal. In recent years, a new generation of fluorogenic and cell-permeable dyes has been developed, which significantly improve live-cell protein labeling by fine-tuning the reversible equilibrium between a cell-permeable, nonfluorescent state and a fluorescent state of rhodamines. This review presents the mechanism and design strategies of these fluorogenic and cell-permeable rhodamines, as well as their applications in bioimaging and biosensing.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2023)

Article Multidisciplinary Sciences

Sensing their plasma membrane curvature allows migrating cells to circumvent obstacles

Ewa Sitarska, Silvia Dias Almeida, Marianne Sandvold Beckwith, Julian Stopp, Jakub Czuchnowski, Marc Siggel, Rita Roessner, Aline Tschanz, Christer Ejsing, Yannick Schwab, Jan Kosinski, Michael Sixt, Anna Kreshuk, Anna Erzberger, Alba Diz-Munoz

Summary: A curvature-sensing mechanism mediated by the BAR domain protein Snx33 is identified in immune-like cells for obstacle evasion. Actin polymerization at the leading edge of migrating cells is inhibited by Snx33 in regions with inward plasma membrane curvature. Genetic perturbation of this machinery reduces cells' ability to evade obstacles and increases their speed and persistence in obstacle-free environments. This study reveals how cells interpret their environment using actin and plasma membrane biophysics.

NATURE COMMUNICATIONS (2023)

Article Chemistry, Multidisciplinary

Chemical Probe for Imaging of Polo-like Kinase 4 and Centrioles

Aleksandar Salim, Philipp Werther, Georgios N. Hatzopoulos, Luc Reymond, Richard Wombacher, Pierre Goenczy, Kai Johnsson

Summary: Polo-like kinase (Plk4) is crucial for the biogenesis of centrioles, and a chemical probe called Cen-TCO based on the Plk4 inhibitor centrinone is introduced to visualize Plk4 and centrioles in live or fixed human cells. A bio-orthogonal two-step labeling system is established, allowing the direct labeling of Plk4 for STED super-resolution microscopy. Direct labeling of Plk4 improves the resolution of STED imaging compared to using anti-Plk4 antibodies, highlighting the significance of direct labeling strategies for super-resolution microscopy. Cen-TCO is expected to be an important tool for investigating the biology of Plk4 and centrioles.

JACS AU (2023)

Article Biochemical Research Methods

Maximum-likelihood model fitting for quantitative analysis of SMLM data

Yu-Le Wu, Philipp Hoess, Aline Tschanz, Ulf Matti, Markus Mund, Jonas Ries

Summary: This paper presents an open-source framework called LocMoFit for fitting arbitrary models to localization coordinates. The framework has significant potential for analyzing complex, heterogeneous, and dynamic structures, and can be used for assembling protein distribution maps, calculating single-particle averages, and performing time-resolved analysis of highly dynamic processes.

NATURE METHODS (2023)

暂无数据