4.8 Article

Binding-Activated Localization Microscopy of DNA Structures

期刊

NANO LETTERS
卷 11, 期 9, 页码 4008-4011

出版社

AMER CHEMICAL SOC
DOI: 10.1021/nl2025954

关键词

Intercalating dyes; PALM; STORM; nucleoid; YOYO-1; PicoGreen

资金

  1. Marie Curie Intra-European Fellowship
  2. ERC
  3. NCCR Neural Plasticity and Repair
  4. Swiss National Science Foundation
  5. ETH Zurich

向作者/读者索取更多资源

Many nucleic acid stains show a strong fluorescence enhancement upon binding to double-stranded DNA. Here we exploit this property to perform superresolution microscopy based on the localization of individual binding events. The dynamic labeling scheme and the optimization of fluorophore brightness yielded a resolution of similar to 14 nm (fwhm) and a spatial sampling of 1/nm. We illustrate our approach with two different DNA-binding dyes and apply it to visualize the organization of the bacterial chromosome in fixed Escherichia coli cells. In general, the principle of binding-activated localization microscopy (BALM) can be extended to other dyes and targets such as protein structures.

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 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 Biochemistry & Molecular Biology

Infiltrating CD8+T cells and M2 macrophages are retained in tumor matrix tracks enriched in low tension fibronectin fibers

Charlotte M. Fonta, Thomas Loustau, Chengbei Li, Suchithra Poilil Surendran, Uwe Hansen, Devadarssen Murdamoothoo, Mario C. Benn, Ines Velazquez-Quesada, Raphael Carapito, Gertraud Orend, Viola Vogel

Summary: Immunostainings of mouse breast tumors reveal that tumor matrix tracks, with immunosuppressive functions, are surrounded by an endothelial-like basement membrane and contain collagen and fibronectin fibers. These tracks form in early-stage tumors and mature over time, and their maturation depends on host-derived tenascin-C (TNC). Tumor infiltrating leukocytes, mainly M2 macrophages and CD8+ T cells, are retained in early-stage tumor tracks but reduce in number after track maturation.

MATRIX BIOLOGY (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 Chemistry, Multidisciplinary

Controlled Grafting Expansion Microscopy

Ria Thielhorn, Isabelle Heing-Becker, Nadja Huempfer, Jakob Rentsch, Rainer Haag, Kai Licha, Helge Ewers

Summary: Expansion microscopy (ExM) is a technique that enlarges a hydrogel-embedded facsimile of a biological sample to improve resolution below the diffraction limit. However, gel formation and digestion cause a loss in label. In this study, a small molecule agent combining targeting, fluorescent labeling, and gel linkage was developed to overcome this issue, resulting in improved fluorescence signal retention and the resolution of nuclear pores. Mechanistic insight into dye retention in ExM was also provided.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2023)

Editorial Material Cell Biology

Introduction to the Special Issue of Cytoskeleton on the molecular and cell biology of septins

Serge Mostowy, Aurelie Bertin, Helge Ewers

CYTOSKELETON (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

3D surface reconstruction of cellular cryo-soft X- ray microscopy tomograms using semisupervised deep learning

Michael C. A. Dyhr, Mohsen Sadeghi, Ralitsa Moynova, Carolin Knappe, Burcu Kepsutlu Cakmak, Stephan Werner, Gerd Schneider, James McNally, Frank Noe, Helge Ewers

Summary: Cryo-soft X-ray tomography (cryo-SXT) is a powerful method for investigating cell ultrastructure, offering high resolution and contrast without the need for labeling. A new automated 3D segmentation pipeline based on semi-supervised deep learning enables high-throughput analysis of tomographic data with limited manual annotations and variations in conditions.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (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 Polymer Science

Nanotopography of Polystyrene/Poly(methyl methacrylate) for the Promotion of Patient Specific Von Willebrand Factor Entrapment and Platelet Adhesion in a Whole Blood Microfluidic Assay

Joanna Ward, Eimear Dunne, Ingmar Schoen, Adrian R. Boyd, Dermot Kenny, Brian J. Meenan

Summary: Platelet function testing is crucial for diagnosing patients with bleeding disorders. A whole blood assay that can analyze platelet behavior in contact with patient-specific autologous von Willebrand factor (vWF) under physiologically relevant conditions is needed. This study demonstrates that spin coating polystyrene/poly (methyl methacrylate) (PS/PMMA) solutions onto glass substrates can create topographical features capable of entrapping vWF and facilitating platelet adhesion.

POLYMERS (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)

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)

Correction Multidisciplinary Sciences

Nanoconfinement of microvilli alters gene expression and boosts T cell activation (pg 118, e2107535118, 2021)

Morteza Aramesh, Diana Stoycheva, Ioana Sandu, Stephan J. Ihle, Tamara Zuend, Jau-Ye Shiu, Csaba Forro, Mohammad Asghari, Margherita Bernero, Sebastian Lickert, Mateusz Kotowski, Simon J. Davis, Annette Oxenius, Viola Vogel, Enrico Klotzsch

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2022)

暂无数据