Abstract

Mechanobiology requires precise quantitative information on processes taking place in specific 3D microenvironments. Connecting the abundance of microscopical, molecular, biochemical and cell mechanical data with defined topologies has turned out to be extremely difficult. Establishing such structural and functional 3D maps needed for biophysical modeling is a particular challenge for the cytoskeleton, which consists of long and interwoven filamentous polymers coordinating subcellular processes and interactions of cells with their environment. To date, useful tools are available for the segmentation and modeling of actin filaments and microtubules but comprehensive tools for the mapping of intermediate filament organization are still lacking. In this work, we describe a workflow to model and examine the complete 3D arrangement of the keratin intermediate filament cytoskeleton in canine, murine and human epithelial cells both, in vitro and in vivo. Numerical models are derived from confocal Airyscan high resolution 3D imaging of fluorescence-tagged keratin filaments. They are interrogated and annotated at different length scales using different modes of visualization including immersive virtual reality. In this way, information is provided on network organization at the subcellular level including mesh arrangement, density and isotropic configuration as well as details on filament morphology such as bundling, curvature and orientation. We show that the comparison of these parameters helps to identify, in quantitative terms, similarities and differences of keratin network organization in epithelial cell types defining subcellular domains, notably basal, apical, lateral and perinuclear systems. The described approach and the presented data are pivotal for generating mechanobiological models that can be experimentally tested.

Data availability

Software, original and processed data are available athttp://kernet.rwth-aachen.de/andhttps://github.com/VRGroupRWTH/Zytoskelett

The following data sets were generated

Article and author information

Author details

  1. Reinhard Windoffer

    Institute of Molecular and Cellular Anatomy, RWTH Aachen University, Aachen, Germany
    For correspondence
    rwindoffer@ukaachen.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1403-5880
  2. Nicole Schwarz

    Institute of Molecular and Cellular Anatomy, RWTH Aachen University, Aachen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  3. Sungjun Yoon

    Institute of Molecular and Cellular Anatomy, RWTH Aachen University, Aachen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. Teodora Piskova

    Institute of Molecular and Cellular Anatomy, RWTH Aachen University, Aachen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  5. Michael Scholkemper

    Department of Computer Science, RWTH Aachen University, Aachen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Johannes Stegmaier

    Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4072-3759
  7. Andrea Bönsch

    Visual Computing Institute, RWTH Aachen University, Aachen, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5077-3675
  8. Jacopo Di Russo

    Interdisciplinary Centre for Clinical Research, RWTH Aachen University, Aachen, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6731-9612
  9. Rudolf Leube

    Institute of Molecular and Cellular Anatomy, RWTH Aachen University, Aachen, Germany
    For correspondence
    rleube@ukaachen.de
    Competing interests
    The authors declare that no competing interests exist.

Funding

Deutsche Forschungsgemeinschaft (WI173/8-2)

  • Reinhard Windoffer

Deutsche Forschungsgemeinschaft (LE566/18-2)

  • Rudolf Leube

Deutsche Forschungsgemeinschaft (GRK2415/363055819)

  • Reinhard Windoffer
  • Nicole Schwarz
  • Sungjun Yoon
  • Teodora Piskova
  • Rudolf Leube

RWTH Aachen University (rwth0452)

  • Reinhard Windoffer

Medizinische Fakultät, RWTH Aachen University (IZKF)

  • Teodora Piskova
  • Jacopo Di Russo

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Pierre Coulombe

Ethics

Animal experimentation: All animal experiments were conducted in accordance with the guidelines for the care and use of laboratory animals and were approved by the Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen (LANUV; reference number 84-02.04.2015.A190 and approvals according to {section sign}4 of the German Animal Welfare Act).

Version history

  1. Received: November 26, 2021
  2. Preprint posted: December 9, 2021 (view preprint)
  3. Accepted: February 15, 2022
  4. Accepted Manuscript published: February 18, 2022 (version 1)
  5. Accepted Manuscript updated: February 23, 2022 (version 2)
  6. Version of Record published: April 4, 2022 (version 3)

Copyright

© 2022, Windoffer et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,744
    views
  • 286
    downloads
  • 7
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Reinhard Windoffer
  2. Nicole Schwarz
  3. Sungjun Yoon
  4. Teodora Piskova
  5. Michael Scholkemper
  6. Johannes Stegmaier
  7. Andrea Bönsch
  8. Jacopo Di Russo
  9. Rudolf Leube
(2022)
Quantitative mapping of keratin networks in 3D
eLife 11:e75894.
https://doi.org/10.7554/eLife.75894

Share this article

https://doi.org/10.7554/eLife.75894

Further reading

    1. Cell Biology
    2. Neuroscience
    Jaebin Kim, Edwin Bustamante ... Scott H Soderling
    Research Article

    One of the most extensively studied members of the Ras superfamily of small GTPases, Rac1 is an intracellular signal transducer that remodels actin and phosphorylation signaling networks. Previous studies have shown that Rac1-mediated signaling is associated with hippocampal-dependent working memory and longer-term forms of learning and memory and that Rac1 can modulate forms of both pre- and postsynaptic plasticity. How these different cognitive functions and forms of plasticity mediated by Rac1 are linked, however, is unclear. Here, we show that spatial working memory in mice is selectively impaired following the expression of a genetically encoded Rac1 inhibitor at presynaptic terminals, while longer-term cognitive processes are affected by Rac1 inhibition at postsynaptic sites. To investigate the regulatory mechanisms of this presynaptic process, we leveraged new advances in mass spectrometry to identify the proteomic and post-translational landscape of presynaptic Rac1 signaling. We identified serine/threonine kinases and phosphorylated cytoskeletal signaling and synaptic vesicle proteins enriched with active Rac1. The phosphorylated sites in these proteins are at positions likely to have regulatory effects on synaptic vesicles. Consistent with this, we also report changes in the distribution and morphology of synaptic vesicles and in postsynaptic ultrastructure following presynaptic Rac1 inhibition. Overall, this study reveals a previously unrecognized presynaptic role of Rac1 signaling in cognitive processes and provides insights into its potential regulatory mechanisms.

    1. Cell Biology
    2. Computational and Systems Biology
    Trine Line Hauge Okholm, Andreas Bjerregaard Kamstrup ... Christian Kroun Damgaard
    Research Article

    Circular RNAs represent a class of endogenous RNAs that regulate gene expression and influence cell biological decisions with implications for the pathogenesis of several diseases. Here, we disclose a novel gene-regulatory role of circHIPK3 by combining analyses of large genomics datasets and mechanistic cell biological follow-up experiments. Using time-course depletion of circHIPK3 and specific candidate RNA-binding proteins, we identify several perturbed genes by RNA sequencing analyses. Expression-coupled motif analyses identify an 11-mer motif within circHIPK3, which also becomes enriched in genes that are downregulated upon circHIPK3 depletion. By mining eCLIP datasets and combined with RNA immunoprecipitation assays, we demonstrate that the 11-mer motif constitutes a strong binding site for IGF2BP2 in bladder cancer cell lines. Our results suggest that circHIPK3 can sequester IGF2BP2 as a competing endogenous RNA (ceRNA), leading to target mRNA stabilization. As an example of a circHIPK3-regulated gene, we focus on the STAT3 mRNA as a specific substrate of IGF2BP2 and validate that manipulation of circHIPK3 regulates IGF2BP2-STAT3 mRNA binding and, thereby, STAT3 mRNA levels. Surprisingly, absolute copy number quantifications demonstrate that IGF2BP2 outnumbers circHIPK3 by orders of magnitude, which is inconsistent with a simple 1:1 ceRNA hypothesis. Instead, we show that circHIPK3 can nucleate multiple copies of IGF2BP2, potentially via phase separation, to produce IGF2BP2 condensates. Our results support a model where a few cellular circHIPK3 molecules can induce IGF2BP2 condensation, thereby regulating key factors for cell proliferation.