Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Nanoscale mapping of DNA dynamics reveals activity-driven genome organization in living human cells

View ORCID ProfileHaitham A. Shaban, Roman Barth, Kerstin Bystricky
doi: https://doi.org/10.1101/405969
Haitham A. Shaban
1Laboratoire de Biologie Moléculaire Eucaryote (LBME), Centre de Biologie Intégrative (CBI), CNRS; University of Toulouse, UPS; 31062 Toulouse; France;
2Spectroscopy Department, Physics Division, National Research Centre, Dokki, Cairo, Egypt;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Haitham A. Shaban
  • For correspondence: haitham.shaban@ibcg.biotoul.fr kerstin.bystricky@ibcg.biotoul.fr
Roman Barth
1Laboratoire de Biologie Moléculaire Eucaryote (LBME), Centre de Biologie Intégrative (CBI), CNRS; University of Toulouse, UPS; 31062 Toulouse; France;
3Faculty of Applied Sciences, Delft University of Technology; 2628 CJ Delft; The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kerstin Bystricky
1Laboratoire de Biologie Moléculaire Eucaryote (LBME), Centre de Biologie Intégrative (CBI), CNRS; University of Toulouse, UPS; 31062 Toulouse; France;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: haitham.shaban@ibcg.biotoul.fr kerstin.bystricky@ibcg.biotoul.fr
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

ABSTRACT

Principles of genome folding and their relationship to function depend on understanding conformational changes of the chromatin fiber. Analysis of bulk chromatin motion at high resolution is still lacking. We developed Hi-D, a method to quantitatively map DNA dynamics for every pixel simultaneously over the entire nucleus from real-time fluorescence images. Hi-D combines reconstruction of chromatin motion using computer vision and classification of local diffusion processes by Bayesian inference. We found that DNA dynamics in the nuclear interior are spatially organized into 0.3 – 3 µm domains of distinct types of diffusion was uncoupled from chromatin compaction. Reorganization of the network of dynamic domains between quiescent and active cells suggest that the microenvironment plays a predominant role in stochastic chromatin motion. Hi-D opens new perspectives towards understanding of chromatin organization placing global motion of nuclear molecules in the context of nuclear architecture.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted August 31, 2018.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Nanoscale mapping of DNA dynamics reveals activity-driven genome organization in living human cells
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Nanoscale mapping of DNA dynamics reveals activity-driven genome organization in living human cells
Haitham A. Shaban, Roman Barth, Kerstin Bystricky
bioRxiv 405969; doi: https://doi.org/10.1101/405969
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Nanoscale mapping of DNA dynamics reveals activity-driven genome organization in living human cells
Haitham A. Shaban, Roman Barth, Kerstin Bystricky
bioRxiv 405969; doi: https://doi.org/10.1101/405969

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4087)
  • Biochemistry (8762)
  • Bioengineering (6479)
  • Bioinformatics (23340)
  • Biophysics (11750)
  • Cancer Biology (9149)
  • Cell Biology (13247)
  • Clinical Trials (138)
  • Developmental Biology (7416)
  • Ecology (11369)
  • Epidemiology (2066)
  • Evolutionary Biology (15087)
  • Genetics (10399)
  • Genomics (14009)
  • Immunology (9121)
  • Microbiology (22040)
  • Molecular Biology (8779)
  • Neuroscience (47366)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3704)
  • Plant Biology (8050)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2208)
  • Systems Biology (6016)
  • Zoology (1249)