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

Spt4 drives cellular senescence by activating non-coding RNA transcription in ribosomal RNA gene clusters

Masaaki Yokoyama, Mariko Sasaki, View ORCID ProfileTakehiko Kobayashi
doi: https://doi.org/10.1101/2022.04.22.488906
Masaaki Yokoyama
1Laboratory of Genome Regeneration, Institute for Quantitative Biosciences (IQB), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, JAPAN
2Department of Biological Sciences, Graduate School of Science, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, JAPAN
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mariko Sasaki
1Laboratory of Genome Regeneration, Institute for Quantitative Biosciences (IQB), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, JAPAN
2Department of Biological Sciences, Graduate School of Science, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, JAPAN
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: sasakim@iqb.u-tokyo.ac.jp tako2015@iqb.u-tokyo.ac.jp
Takehiko Kobayashi
1Laboratory of Genome Regeneration, Institute for Quantitative Biosciences (IQB), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, JAPAN
2Department of Biological Sciences, Graduate School of Science, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, JAPAN
3Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, JAPAN
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Takehiko Kobayashi
  • For correspondence: sasakim@iqb.u-tokyo.ac.jp tako2015@iqb.u-tokyo.ac.jp
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article usage

Article usage: April 2022 to September 2023

AbstractFullPdf
Apr 2022453590
May 20222132232
Jun 2022481225
Jul 20223307
Aug 202233511
Sep 202238511
Oct 20222044
Nov 202242916
Dec 202230312
Jan 202317135
Feb 20231479
Mar 202317411
Apr 20231314
May 20231401
Jun 20231532
Jul 2023772
Aug 2023728
Sep 20231313
Back to top
PreviousNext
Posted April 22, 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.
Spt4 drives cellular senescence by activating non-coding RNA transcription in ribosomal RNA gene clusters
(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
Spt4 drives cellular senescence by activating non-coding RNA transcription in ribosomal RNA gene clusters
Masaaki Yokoyama, Mariko Sasaki, Takehiko Kobayashi
bioRxiv 2022.04.22.488906; doi: https://doi.org/10.1101/2022.04.22.488906
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Spt4 drives cellular senescence by activating non-coding RNA transcription in ribosomal RNA gene clusters
Masaaki Yokoyama, Mariko Sasaki, Takehiko Kobayashi
bioRxiv 2022.04.22.488906; doi: https://doi.org/10.1101/2022.04.22.488906

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

  • Molecular Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4688)
  • Biochemistry (10379)
  • Bioengineering (7695)
  • Bioinformatics (26368)
  • Biophysics (13547)
  • Cancer Biology (10719)
  • Cell Biology (15459)
  • Clinical Trials (138)
  • Developmental Biology (8509)
  • Ecology (12841)
  • Epidemiology (2067)
  • Evolutionary Biology (16884)
  • Genetics (11413)
  • Genomics (15491)
  • Immunology (10638)
  • Microbiology (25254)
  • Molecular Biology (10239)
  • Neuroscience (54576)
  • Paleontology (402)
  • Pathology (1671)
  • Pharmacology and Toxicology (2899)
  • Physiology (4353)
  • Plant Biology (9263)
  • Scientific Communication and Education (1588)
  • Synthetic Biology (2561)
  • Systems Biology (6789)
  • Zoology (1470)