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

High-resolution single cell transcriptome analysis of zebrafish sensory hair cell regeneration

Sungmin Baek, Nhung T. T. Tran, Daniel C. Diaz, Ya-Yin Tsai, Tatjana Piotrowski
doi: https://doi.org/10.1101/2021.07.15.452338
Sungmin Baek
1Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nhung T. T. Tran
1Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel C. Diaz
1Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ya-Yin Tsai
1Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tatjana Piotrowski
1Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: pio@stowers.org
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2021.07.15.452338
History 
  • July 15, 2021.

Article Versions

  • You are currently viewing Version 1 of this article (July 15, 2021 - 13:19).
  • View Version 2, the most recent version of this article.
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.

Author Information

  1. Sungmin Baek1,
  2. Nhung T. T. Tran1,
  3. Daniel C. Diaz1,2,
  4. Ya-Yin Tsai1 and
  5. Tatjana Piotrowski1,3,#
  1. 1Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110
  1. ↵#Correspondence: pio{at}stowers.org
  • ↵2 Parse Biosciences, 201 Elliott Ave W, Suite 290 Seattle, WA 98119

Back to top
PreviousNext
Posted July 15, 2021.
Download PDF

Supplementary Material

Data/Code
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.
High-resolution single cell transcriptome analysis of zebrafish sensory hair cell regeneration
(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
High-resolution single cell transcriptome analysis of zebrafish sensory hair cell regeneration
Sungmin Baek, Nhung T. T. Tran, Daniel C. Diaz, Ya-Yin Tsai, Tatjana Piotrowski
bioRxiv 2021.07.15.452338; doi: https://doi.org/10.1101/2021.07.15.452338
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
High-resolution single cell transcriptome analysis of zebrafish sensory hair cell regeneration
Sungmin Baek, Nhung T. T. Tran, Daniel C. Diaz, Ya-Yin Tsai, Tatjana Piotrowski
bioRxiv 2021.07.15.452338; doi: https://doi.org/10.1101/2021.07.15.452338

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 (4095)
  • Biochemistry (8789)
  • Bioengineering (6494)
  • Bioinformatics (23403)
  • Biophysics (11767)
  • Cancer Biology (9172)
  • Cell Biology (13294)
  • Clinical Trials (138)
  • Developmental Biology (7423)
  • Ecology (11391)
  • Epidemiology (2066)
  • Evolutionary Biology (15123)
  • Genetics (10418)
  • Genomics (14028)
  • Immunology (9154)
  • Microbiology (22129)
  • Molecular Biology (8796)
  • Neuroscience (47464)
  • Paleontology (350)
  • Pathology (1423)
  • Pharmacology and Toxicology (2486)
  • Physiology (3712)
  • Plant Biology (8069)
  • Scientific Communication and Education (1433)
  • Synthetic Biology (2216)
  • Systems Biology (6022)
  • Zoology (1251)