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Updated: Nov 4, 2025

Reusable Single Cell for Iterative Epigenomic Analyses
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Evolutionary cell type mapping with single-cell genomics.

Amos Tanay1, Arnau Sebé-Pedrós2

  • 1Department of Computer Science and Applied Mathematics, and Department of Biological Regulation, Weizmann Institute of Science, 76100 Rehovot, Israel.

Trends in Genetics : TIG
|May 22, 2021
PubMed
Summary
This summary is machine-generated.

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Animal cell types arise from differential gene regulation within a shared genome. Single-cell genomics enables cataloging these cell types and their evolution across diverse species.

Area of Science:

  • Evolutionary Biology
  • Genomics
  • Developmental Biology

Background:

  • Multicellular animals feature specialized cell types encoded by a single genome.
  • Gene regulatory mechanisms control differential genomic access, leading to distinct cellular phenotypes.
  • The evolution and diversity of animal cell types are largely unexplored beyond model organisms.

Purpose of the Study:

  • To review the application of single-cell genomics for cataloging cell types in non-model species.
  • To discuss challenges and opportunities in comparative cell type program studies.
  • To explore phylogenetic integration of cell atlases for understanding cell type evolution.

Main Methods:

  • Review of current single-cell genomics sampling efforts across the animal kingdom.

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  • Analysis of gene regulatory mechanisms underlying cell type specification.
  • Phylogenetic integration of single-cell data.
  • Main Results:

    • Single-cell genomics is a powerful tool for building comprehensive cell type catalogs.
    • Comparative studies are essential for understanding cell type emergence and diversity.
    • Phylogenetic approaches can reveal evolutionary dynamics of cell types.

    Conclusions:

    • Expanding cell atlases across the animal tree of life is crucial.
    • Phylogenetic integration of cell atlases will advance models of cell type evolution.
    • This approach can lead to a phylogenetic taxonomy of cells.