Live cell-lineage tracing and machine learning reveal patterns of organ regeneration thumbnail
Live cell-lineage tracing and machine learning reveal patterns of organ regeneration
elifesciences.org
First, how multiple cells interact to recapitulate organ architecture. Second, what is the mechanism that controls the correct reproduction of cell number and localization We find that interneuromast cells are not essential for neuromast regeneration because severely damaged organs recover all cell
1 Users
0 Comments
24 Highlights
0 Notes

Top Highlights

  • First, how multiple cells interact to recapitulate organ architecture. Second, what is the mechanism that controls the correct reproduction of cell number and localization
  • We find that interneuromast cells are not essential for neuromast regeneration because severely damaged organs recover all cell classes in the appropriate localization in the absence of interneuromast cells. However, we systematically observed smaller organs when interneuromast cells where ablated. These observations suggest that these peripheral c...
  • Despite the intrinsically stochastic nature of damage, sensory organs recapitulate normal architecture during repair to maintain function. Here we present a quantitative approach that combines live cell-lineage tracing and multifactorial classification by machine learning to reveal how cell identity and localization are coordinated during organ reg...
  • sensory organs recapitulate normal architecture during repair to maintain function
  • quantitative approach that combines live cell-lineage tracing and multifactorial classification by machine learning to reveal how cell identity and localization are coordinated during organ regeneration

Ready to highlight and find good content?

Glasp is a social web highlighter that people can highlight and organize quotes and thoughts from the web, and access other like-minded people’s learning.