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

Cooperative genetic networks drive a mammalian cell state transition

Andreas Lackner, Robert Sehlke, Marius Garmhausen, Giuliano Giuseppe Stirparo, Michelle Huth, Fabian Titz-Teixeira, Petra van der Lelij, Julia Ramesmayer, Henry Fabian Thomas, Meryem Ralser, Laura Santini, Mihail Sarov, A. Francis Stewart, Austin Smith, Andreas Beyer, View ORCID ProfileMartin Leeb
doi: https://doi.org/10.1101/2020.03.23.000109
Andreas Lackner
1Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Dr Bohr Gasse 9, 1030 Vienna
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert Sehlke
2CECAD, Faculty of Mathematics and Natural Sciences, Medical Faculty Cologne, University of Cologne, Joseph-Stelzmann-Str. 26 50931 Köln, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marius Garmhausen
2CECAD, Faculty of Mathematics and Natural Sciences, Medical Faculty Cologne, University of Cologne, Joseph-Stelzmann-Str. 26 50931 Köln, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Giuliano Giuseppe Stirparo
3Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michelle Huth
1Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Dr Bohr Gasse 9, 1030 Vienna
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fabian Titz-Teixeira
2CECAD, Faculty of Mathematics and Natural Sciences, Medical Faculty Cologne, University of Cologne, Joseph-Stelzmann-Str. 26 50931 Köln, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Petra van der Lelij
1Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Dr Bohr Gasse 9, 1030 Vienna
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julia Ramesmayer
1Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Dr Bohr Gasse 9, 1030 Vienna
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Henry Fabian Thomas
1Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Dr Bohr Gasse 9, 1030 Vienna
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Meryem Ralser
3Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura Santini
1Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Dr Bohr Gasse 9, 1030 Vienna
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mihail Sarov
4Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108 01307 Dresden, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A. Francis Stewart
4Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108 01307 Dresden, Germany
5Biotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Tatzberg 47, 01307 Dresden, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Austin Smith
3Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas Beyer
2CECAD, Faculty of Mathematics and Natural Sciences, Medical Faculty Cologne, University of Cologne, Joseph-Stelzmann-Str. 26 50931 Köln, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: martin.leeb@univie.ac.at
Martin Leeb
1Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Dr Bohr Gasse 9, 1030 Vienna
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Martin Leeb
  • For correspondence: martin.leeb@univie.ac.at
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

In the mammalian embryo, epiblast cells must exit their naïve state and acquire formative pluripotency. This cell state transition is recapitulated by mouse embryonic stem cells (ESCs), which undergo pluripotency progression in defined conditions in vitro. However, our understanding of the molecular cascades and gene-networks involved in the exit from naïve pluripotency remains fragmented. Here we employed a combination of genetic screens in haploid ESCs, CRISPR/Cas9 gene disruption, large-scale transcriptomics and computational systems-biology to delineate the regulatory circuits governing naïve state exit. Transcriptome profiles for 73 knockout ESC lines predominantly manifest delays on the trajectory from naive to formative epiblast. We find that gene networks operative in ESCs are active during transition from pre- to post-implantation epiblast in utero. We identified 374 naïve-associated genes tightly connected to epiblast state and largely conserved in human ESCs and primate embryos. Integrated analysis of mutant transcriptomes revealed funneling of multiple gene activities into discrete regulatory modules. Finally, we delineate how intersections with signaling pathways direct this pivotal mammalian cell state transition.

Competing Interest Statement

The authors have declared no competing interest.

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 July 02, 2020.
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.
Cooperative genetic networks drive a mammalian cell state transition
(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
Cooperative genetic networks drive a mammalian cell state transition
Andreas Lackner, Robert Sehlke, Marius Garmhausen, Giuliano Giuseppe Stirparo, Michelle Huth, Fabian Titz-Teixeira, Petra van der Lelij, Julia Ramesmayer, Henry Fabian Thomas, Meryem Ralser, Laura Santini, Mihail Sarov, A. Francis Stewart, Austin Smith, Andreas Beyer, Martin Leeb
bioRxiv 2020.03.23.000109; doi: https://doi.org/10.1101/2020.03.23.000109
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Cooperative genetic networks drive a mammalian cell state transition
Andreas Lackner, Robert Sehlke, Marius Garmhausen, Giuliano Giuseppe Stirparo, Michelle Huth, Fabian Titz-Teixeira, Petra van der Lelij, Julia Ramesmayer, Henry Fabian Thomas, Meryem Ralser, Laura Santini, Mihail Sarov, A. Francis Stewart, Austin Smith, Andreas Beyer, Martin Leeb
bioRxiv 2020.03.23.000109; doi: https://doi.org/10.1101/2020.03.23.000109

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

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (2418)
  • Biochemistry (4778)
  • Bioengineering (3319)
  • Bioinformatics (14635)
  • Biophysics (6618)
  • Cancer Biology (5157)
  • Cell Biology (7402)
  • Clinical Trials (138)
  • Developmental Biology (4342)
  • Ecology (6860)
  • Epidemiology (2057)
  • Evolutionary Biology (9888)
  • Genetics (7331)
  • Genomics (9501)
  • Immunology (4537)
  • Microbiology (12642)
  • Molecular Biology (4925)
  • Neuroscience (28238)
  • Paleontology (199)
  • Pathology (803)
  • Pharmacology and Toxicology (1382)
  • Physiology (2013)
  • Plant Biology (4474)
  • Scientific Communication and Education (975)
  • Synthetic Biology (1295)
  • Systems Biology (3905)
  • Zoology (722)