Artwork

Content provided by Arif Ashraf. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arif Ashraf or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

S2E5 | Rachel Shahan | Arabidopsis Root Cell Atlas

22:45
 
Share
 

Manage episode 355965017 series 3299153
Content provided by Arif Ashraf. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arif Ashraf or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Article: A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants
Journal: Developmental Cell
Year: 2022
Guest: Rachel Shahan
Host: Arif Ashraf

Abstract

In all multicellular organisms, transcriptional networks orchestrate organ development. The Arabidopsis root, with its simple structure and indeterminate growth, is an ideal model for investigating the spatiotemporal transcriptional signatures underlying developmental trajectories. To map gene expression dynamics across root cell types and developmental time, we built a comprehensive, organ-scale atlas at single-cell resolution. In addition to estimating developmental progressions in pseudotime, we employed the mathematical concept of optimal transport to infer developmental trajectories and identify their underlying regulators. To demonstrate the utility of the atlas to interpret new datasets, we profiled mutants for two key transcriptional regulators at single-cell resolution, shortroot and scarecrow. We report transcriptomic and in vivo evidence for tissue trans-differentiation underlying a mixed cell identity phenotype in scarecrow. Our results support the atlas as a rich community resource for unraveling the transcriptional programs that specify and maintain cell identity to regulate spatiotemporal organ development.

Cover art design and audio editing: Ragib Anjum

  continue reading

27 episodes

Artwork
iconShare
 
Manage episode 355965017 series 3299153
Content provided by Arif Ashraf. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arif Ashraf or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Article: A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants
Journal: Developmental Cell
Year: 2022
Guest: Rachel Shahan
Host: Arif Ashraf

Abstract

In all multicellular organisms, transcriptional networks orchestrate organ development. The Arabidopsis root, with its simple structure and indeterminate growth, is an ideal model for investigating the spatiotemporal transcriptional signatures underlying developmental trajectories. To map gene expression dynamics across root cell types and developmental time, we built a comprehensive, organ-scale atlas at single-cell resolution. In addition to estimating developmental progressions in pseudotime, we employed the mathematical concept of optimal transport to infer developmental trajectories and identify their underlying regulators. To demonstrate the utility of the atlas to interpret new datasets, we profiled mutants for two key transcriptional regulators at single-cell resolution, shortroot and scarecrow. We report transcriptomic and in vivo evidence for tissue trans-differentiation underlying a mixed cell identity phenotype in scarecrow. Our results support the atlas as a rich community resource for unraveling the transcriptional programs that specify and maintain cell identity to regulate spatiotemporal organ development.

Cover art design and audio editing: Ragib Anjum

  continue reading

27 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide