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Orthogonal Trajectories01:26

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Related Experiment Video

Updated: Feb 13, 2026

Rat Mesentery Exteriorization: A Model for Investigating the Cellular Dynamics Involved in Angiogenesis
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Alignment of single-cell trajectories to compare cellular expression dynamics.

Ayelet Alpert1, Lindsay S Moore1, Tania Dubovik1

  • 1Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.

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|March 13, 2018
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Summary

cellAlign quantitatively compares single-cell trajectories to reveal hidden differences in gene expression timing during development. This framework aids in understanding dynamic biological processes like embryonic differentiation.

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Area of Science:

  • Developmental Biology
  • Computational Biology
  • Genomics

Background:

  • Single-cell RNA sequencing and high-dimensional cytometry provide high-resolution data for biological processes.
  • Understanding dynamic biological processes like differentiation requires analyzing temporal gene expression changes.

Purpose of the Study:

  • To present cellAlign, a novel quantitative framework for comparing single-cell trajectories.
  • To analyze and delineate differences in temporal gene expression regulation within and between developmental trajectories.

Main Methods:

  • Development of the cellAlign quantitative framework.
  • Application of cellAlign to mouse and human embryonic developmental trajectories.
  • Systematic comparison of gene expression dynamics across different developmental paths.

Main Results:

  • cellAlign successfully identified subtle differences in gene expression timing.
  • The framework revealed temporal regulatory differences masked in standard analyses.
  • Comparative analysis highlighted species-specific or lineage-specific gene expression dynamics.

Conclusions:

  • cellAlign offers a robust method for comparing single-cell trajectory dynamics.
  • The framework enhances the understanding of temporal gene regulation in development.
  • This approach facilitates deeper insights into the heterogeneity of biological processes.