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Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing Frog Embryo

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Published on: April 21, 2022

Maps of variability in cell lineage trees.

Damien G Hicks^1,2, Terence P Speed², Mohammed Yassin³

¹Centre for Micro-Photonics, Department of Physics and Astronomy, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia.

Plos Computational Biology

|February 13, 2019

Summary

New lineage variability maps quantify cell fate dynamics in multicellular organisms. These statistical tools reveal how cell populations evolve, offering insights into developmental processes and cell potency.

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Area of Science:

Developmental Biology
Statistical Genetics
Computational Biology

Background:

Cell lineage tracking is crucial for understanding multicellular organism development.
Existing lineage maps are static and fail to capture phenotypic variability.
Higher organisms exhibit complex, variable cell lineages requiring advanced statistical methods.

Purpose of the Study:

Introduce lineage variability maps to quantify phenotypic variation in cell lineages.
Develop statistical methods for inferring these maps from pedigree data.
Analyze cell fate dynamics and potency in multicellular organisms.

Main Methods:

Developed generalized spectral analysis for binary trees to model tree-structured variation.
Inferred lineage variability maps using graphical models (undirected and directed graphs).
Applied methods to Caenorhabditis elegans and T lymphocyte pedigrees.

Main Results:

Lineage variability maps successfully recovered known features of C. elegans lineage maps.
Analysis of T lymphocyte pedigrees showed founder naive T cells largely determine cell size phenotype.
Demonstrated inference of graphical models from small sample sizes of pedigrees.

Conclusions:

Lineage variability maps provide a population-level view of cell lineage dynamics.
Quantify progressive cell fate restriction with increasing lineage depth.
Offer new statistical frameworks for studying cell potency and developmental variability.