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Automated time-lapse data segmentation reveals in vivo cell state dynamics.

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Summary

Embryonic development involves cell state transitions. Collective cell behavior can create asymmetries, challenging the idea that it buffers individual cell noise.

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Area of Science:

  • Developmental biology
  • Cellular dynamics
  • Systems biology

Background:

  • Embryonic development relies on precise cell state transitions.
  • These transitions are influenced by inherent molecular noise.
  • Understanding the interplay between cell states and collective behavior is crucial.

Purpose of the Study:

  • To define and map gene expression and cell motion states during zebrafish tailbud development.
  • To investigate the dynamics of biological state transitions using quantitative methods.
  • To explore the origins of reproducible patterns and asymmetries in embryonic development.

Main Methods:

  • Single-cell RNA sequencing for gene expression profiling.
  • In vivo time-lapse cell tracking for cell motion analysis.
  • Dimensional reduction and change point detection algorithms for state identification.

Main Results:

  • Identified and mapped distinct gene expression and cell motion states in zebrafish embryos.
  • Demonstrated that reproducible cell state patterns and bilateral symmetry emerge from temporal averaging.
  • Observed transient deviations leading to left-right asymmetries in collective cell motion.

Conclusions:

  • Collective cell behavior can be a source of developmental asymmetry.
  • Temporal averaging plays a key role in establishing reproducible patterns and symmetry.
  • The study provides new insights into the mechanisms underlying embryonic development and asymmetry.