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

Quantitative Analysis of Transcriptome Dynamics Provides Novel Insights into Developmental State Transitions

Kristin Johnson, Simon Freedman, View ORCID ProfileRosemary Braun, View ORCID ProfileCarole LaBonne
doi: https://doi.org/10.1101/2022.03.10.483850
Kristin Johnson
1Dept. of Molecular Biosciences, Northwestern University, Evanston, IL 60208
4NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Simon Freedman
2Department of Engineering Sciences and Applied Math, Northwestern University, Evanston, IL 60208
4NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rosemary Braun
1Dept. of Molecular Biosciences, Northwestern University, Evanston, IL 60208
2Department of Engineering Sciences and Applied Math, Northwestern University, Evanston, IL 60208
3Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208
4NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Rosemary Braun
Carole LaBonne
1Dept. of Molecular Biosciences, Northwestern University, Evanston, IL 60208
4NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Carole LaBonne
  • For correspondence: clabonne@northwestern.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

During embryogenesis, the developmental potential of initially pluripotent cells becomes progressively restricted as they transit to lineage restricted states. The pluripotent cells of Xenopus blastula-stage embryos are an ideal system in which to study cell state transitions during developmental decision-making, as gene expression dynamics can be followed at high temporal resolution. Here we use transcriptomics to interrogate the process by which pluripotent cells transit to four different lineage-restricted states: neural progenitors, epidermis, endoderm and ventral mesoderm, providing quantitative insights into the dynamics of Waddington’s landscape. Our findings shed light on why the neural progenitor state is the default lineage state for pluripotent cells, and uncover novel components of lineage-specific gene regulation. These data reveal an unexpected overlap in the transcriptional responses to BMP4/7 and activin signaling, and provide mechanistic insight into how the timing of signaling inputs such as BMP are temporally controlled to ensure correct lineage decisions. Together these analyses provide quantitative insights into the logic and dynamics of developmental decision making in early embryos.

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 March 13, 2022.
Download PDF
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.
Quantitative Analysis of Transcriptome Dynamics Provides Novel Insights into Developmental State Transitions
(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
Quantitative Analysis of Transcriptome Dynamics Provides Novel Insights into Developmental State Transitions
Kristin Johnson, Simon Freedman, Rosemary Braun, Carole LaBonne
bioRxiv 2022.03.10.483850; doi: https://doi.org/10.1101/2022.03.10.483850
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Quantitative Analysis of Transcriptome Dynamics Provides Novel Insights into Developmental State Transitions
Kristin Johnson, Simon Freedman, Rosemary Braun, Carole LaBonne
bioRxiv 2022.03.10.483850; doi: https://doi.org/10.1101/2022.03.10.483850

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

  • Developmental Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4237)
  • Biochemistry (9147)
  • Bioengineering (6786)
  • Bioinformatics (24025)
  • Biophysics (12137)
  • Cancer Biology (9545)
  • Cell Biology (13795)
  • Clinical Trials (138)
  • Developmental Biology (7642)
  • Ecology (11716)
  • Epidemiology (2066)
  • Evolutionary Biology (15518)
  • Genetics (10650)
  • Genomics (14332)
  • Immunology (9493)
  • Microbiology (22858)
  • Molecular Biology (9103)
  • Neuroscience (49032)
  • Paleontology (355)
  • Pathology (1484)
  • Pharmacology and Toxicology (2572)
  • Physiology (3849)
  • Plant Biology (8338)
  • Scientific Communication and Education (1472)
  • Synthetic Biology (2296)
  • Systems Biology (6196)
  • Zoology (1302)