Visualizing Cytoplasmic Flow During Single-cell Wound Healing in Stentor coeruleus

被引:10
|
作者
Slabodnick, Mark [1 ,2 ]
Prevo, Bram [1 ,3 ]
Gross, Peter [1 ,4 ]
Sheung, Janet [1 ,5 ]
Marshall, Wallace [1 ,2 ]
机构
[1] Marine Biol Lab, Physiol Course, Woods Hole, MA 02543 USA
[2] Univ Calif San Francisco, Dept Biochem & Biophys, San Francisco, CA 94143 USA
[3] Vrije Univ Amsterdam, Dept Phys & Astron, Amsterdam, Netherlands
[4] Max Planck Inst Mol Cell Biol & Genet, Dresden, Germany
[5] Univ Illinois, Dept Phys, Urbana, IL USA
来源
关键词
Cellular Biology; Issue; 82; intracellular wound healing; cytoplasm; rheology; protists; ciliates; regeneration; microscopy; Stentor coeruleus; REPAIR;
D O I
10.3791/50848
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Although wound-healing is often addressed at the level of whole tissues, in many cases individual cells are able to heal wounds within themselves, repairing broken cell membrane before the cellular contents leak out. The giant unicellular organism Stentor coeruleus, in which cells can be more than one millimeter in size, have been a classical model organism for studying wound healing in single cells. Stentor cells can be cut in half without loss of viability, and can even be cut and grafted together. But this high tolerance to cutting raises the question of why the cytoplasm does not simply flow out from the size of the cut. Here we present a method for cutting Stentor cells while simultaneously imaging the movement of cytoplasm in the vicinity of the cut at high spatial and temporal resolution. The key to our method is to use a "double decker" microscope configuration in which the surgery is performed under a dissecting microscope focused on a chamber that is simultaneously viewed from below at high resolution using an inverted microscope with a high NA lens. This setup allows a high level of control over the surgical procedure while still permitting high resolution tracking of cytoplasm.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Actin Cytoskeletal Dynamics in Single-Cell Wound Repair
    Ebstrup, Malene Laage
    Dias, Catarina
    Heitmann, Anne Sofie Busk
    Sonder, Stine Lauritzen
    Nylandsted, Jesper
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (19)
  • [42] Microfluidic guillotine for single-cell wound repair studies
    Blauch, Lucas R.
    Gai, Ya
    Khor, Jian Wei
    Sood, Pranidhi
    Marshall, Wallace F.
    Tang, Sindy K. Y.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (28) : 7283 - 7288
  • [43] Investigating the Roles of RhoGAP1 and RhoGAP8 in Regulating Rho GTPase Activity During Single-Cell Wound Healing.
    Davenport, N.
    Bement, W.
    MOLECULAR BIOLOGY OF THE CELL, 2011, 22
  • [44] MICROFLUIDIC TOOLS FOR SINGLE-CELL WOUND REPAIR STUDIES
    Blauch, Luke R.
    Zhang, Kevin
    Tang, Sindy K. Y.
    2020 33RD IEEE INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS (MEMS 2020), 2020, : 140 - 141
  • [45] Mouse Wound Models and Preparation of Single-Cell Suspensions
    Liu, Yuanyuan
    Zhang, Mingwang
    Luo, Kai
    Zou, Yurui
    Yang, Rongya
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2024, (211):
  • [46] Single Cell Biophysics Drives Wound Healing Dynamics
    Vig, Dhruv K.
    BIOPHYSICAL JOURNAL, 2015, 108 (02) : 457A - 457A
  • [47] Single-cell sequencing technology in diabetic wound healing: New insights into the progenitors-based repair strategies
    Xiang, Zhen
    Cai, Rui-Peng
    Xiao, Yang
    Huang, Yong-Can
    WORLD JOURNAL OF STEM CELLS, 2024, 16 (05):
  • [48] Single-cell temporal transcriptomics from tiny cytoplasmic biopsies
    Horvath, Robert
    CELL REPORTS METHODS, 2022, 2 (10):
  • [49] Behavioural analysis of single-cell aneural ciliate, Stentor roeseli, using machine learning approaches
    Mi Kieu Trinh
    Wayland, Matthew T.
    Prabakaran, Sudhakaran
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2019, 16 (161)
  • [50] spatialHeatmap: visualizing spatial bulk and single-cell assays in anatomical images
    Zhang, Jianhai
    Zhang, Le
    Gongol, Brendan
    Hayes, Jordan
    Borowsky, Alexander T.
    Bailey-Serres, Julia
    Girke, Thomas
    NAR GENOMICS AND BIOINFORMATICS, 2024, 6 (01)