Cell cycle dynamics in the reprogramming of cellular identity.

Clicks: 462
ID: 54603
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #1 of 12 articles by views in FEBS Letters

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Reprogramming cellular identity is fundamentally at odds with replication of the genome: cell fate reprogramming requires complex multi-dimensional epigenomic changes, whereas genome replication demands fidelity. In this review, we discuss how the pace of genome's replication and cell cycle influences the way daughter cells take on their identity. We highlight several biochemical processes that are pertinent to cell fate control, whose propagation into the daughter cells should be governed by more complex mechanisms than simple templated-replication. With this mindset, we summarize multiple scenarios where rapid cell cycle could interfere with cell fate copying and promote cell fate reprogramming. Prominent examples of cell fate regulation by specific cell cycle phases are also discussed. Overall, there is much to be learned regarding the relationship between cell fate reprogramming and cell cycle control. Harnessing cell cycle dynamics could greatly facilitate the derivation of desired cell types.
Reference Key
hu2019cellfebs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hu, Xiao;Eastman, Anna E;Guo, Shangqin;
Journal FEBS Letters
Year 2019
DOI
10.1002/1873-3468.13625
URL
Keywords
climate change high-throughput sequencing microbial communities fire californian grasslands geochip

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.