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

Deciphering the Regulatory Landscape of γδ T Cell Development by Single-Cell RNA-Sequencing

Sagar, Maria Pokrovskil, Josip S. Herman, Shruti Naik, Elisabeth Sock, Ute Lausch, Michael Wegner, Yakup Tanriver, Dan R. Littman, Dominic Grün
doi: https://doi.org/10.1101/478529
Sagar
1Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maria Pokrovskil
2Molecular Pathogenesis Program, The Kimmel Center for Biology and Medicine of the Skirball Institute, New York University School of Medicine, New York, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Josip S. Herman
1Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
3Faculty of Biology, University of Freiburg, Freiburg, Germany.
4International Max Planck Research School for Molecular and Cellular Biology (IMPRS-MCB), Freiburg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shruti Naik
5Department of Pathology and Ronald O. Perelman Department of Dermatology, NYU School of Medicine, New York, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elisabeth Sock
6Institut für Biochemie, Emil-Fischer-Zentrum, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ute Lausch
7Institute of Medical Microbiology and Hygiene, University Medical Center Freiburg, Freiburg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Wegner
6Institut für Biochemie, Emil-Fischer-Zentrum, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yakup Tanriver
7Institute of Medical Microbiology and Hygiene, University Medical Center Freiburg, Freiburg, Germany.
8Department of Internal Medicine IV, University Medical Center Freiburg, Freiburg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dan R. Littman
2Molecular Pathogenesis Program, The Kimmel Center for Biology and Medicine of the Skirball Institute, New York University School of Medicine, New York, USA.
9The Howard Hughes Medical Institute, New York University School of Medicine, New York, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dominic Grün
1Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: gruen@ie-freiburg.mpg.de
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

SUMMARY

Recent studies have established γδ T cells as critical players in a broad range of infections, antitumor surveillance, autoimmune diseases and tissue homeostasis. However, differentiation of γδ T cells in the adult thymus remains poorly understood, due to the rare frequency of this lineage. Here, we infer high-resolution developmental trajectories of this rare population by single-cell RNA-sequencing. We reveal previously unknown subtypes and identify the transcription factor c-MAF as a novel key regulator of IL-17-producing γδ T cell (γδT17) differentiation. c-MAF knockout mice exhibit a complete block in γδT17 differentiation, absence of these cells from peripheral organs, and protection from an autoimmune phenotype in a psoriasis model. Single-cell RNA-sequencing of Sox13 and Rorc knockout mice pinpoints c-MAF as an essential missing link between these lineage-specifying factors. These findings significantly enhance our understanding of γδ T cell ontogeny. Our experimental strategy provides a blueprint for deciphering differentiation of rare cell types.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted November 27, 2018.
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.
Deciphering the Regulatory Landscape of γδ T Cell Development by Single-Cell RNA-Sequencing
(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
Deciphering the Regulatory Landscape of γδ T Cell Development by Single-Cell RNA-Sequencing
Sagar, Maria Pokrovskil, Josip S. Herman, Shruti Naik, Elisabeth Sock, Ute Lausch, Michael Wegner, Yakup Tanriver, Dan R. Littman, Dominic Grün
bioRxiv 478529; doi: https://doi.org/10.1101/478529
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Deciphering the Regulatory Landscape of γδ T Cell Development by Single-Cell RNA-Sequencing
Sagar, Maria Pokrovskil, Josip S. Herman, Shruti Naik, Elisabeth Sock, Ute Lausch, Michael Wegner, Yakup Tanriver, Dan R. Littman, Dominic Grün
bioRxiv 478529; doi: https://doi.org/10.1101/478529

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

  • Immunology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4087)
  • Biochemistry (8768)
  • Bioengineering (6481)
  • Bioinformatics (23348)
  • Biophysics (11753)
  • Cancer Biology (9150)
  • Cell Biology (13256)
  • Clinical Trials (138)
  • Developmental Biology (7417)
  • Ecology (11371)
  • Epidemiology (2066)
  • Evolutionary Biology (15091)
  • Genetics (10402)
  • Genomics (14012)
  • Immunology (9122)
  • Microbiology (22050)
  • Molecular Biology (8780)
  • Neuroscience (47381)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3705)
  • Plant Biology (8054)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2209)
  • Systems Biology (6016)
  • Zoology (1250)