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Related Experiment Video

Updated: Jul 15, 2025

Author Spotlight: Exploring Cell Migration and Gene Roles in the Developing Brain

Author Spotlight: Exploring Cell Migration and Gene Roles in the Developing Brain

Published on: March 8, 2024

Tracking cell-type-specific temporal dynamics in human and mouse brains.

Ziyu Lu¹, Melissa Zhang², Jasper Lee²

¹Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA; The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA.

|September 29, 2023

Summary

This summary is machine-generated.

Researchers developed TrackerSci, a novel single-cell genomic method, to study brain progenitor cells. This method reveals how these cells change with age and in Alzheimer's disease models.

Keywords:

aging cell-type-specific neurogenesis oligodendrogenesis single-cell epigenome single-cell transcriptome temporal dynamics

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Last Updated: Jul 15, 2025

Author Spotlight: Exploring Cell Migration and Gene Roles in the Developing Brain

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Microdissection of Mouse Brain into Functionally and Anatomically Different Regions

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Published on: February 15, 2021

Area of Science:

Neuroscience
Genomics
Cell Biology

Background:

Progenitor cells are vital for maintaining brain homeostasis.
Their diversity and dynamics in the aged brain are not well understood.
Aging and neurodegenerative diseases impact progenitor cell function.

Purpose of the Study:

To introduce TrackerSci, a single-cell genomic method for analyzing progenitor cells.
To investigate the dynamics of newborn cells in aging and Alzheimer's disease mouse models.
To characterize progenitor cell diversity, epigenetic signatures, and aging-associated changes in the brain.

Main Methods:

TrackerSci combines newborn cell labeling and combinatorial indexing.
Single-cell RNA sequencing and ATAC sequencing were employed.
Analysis was performed on mouse brains across different ages and in an Alzheimer's disease model.
Progenitor cells from aged human brains were also studied.

Main Results:

Diverse progenitor cell types and their epigenetic landscapes were identified.
Aging-associated shifts in cell-type-specific proliferation and differentiation were quantified.
Molecular programs underlying these age-related changes were deciphered.
Conserved genetic signatures and region-specific dynamics, like reduced oligodendrogenesis in the cerebellum, were found in aged human brains.

Conclusions:

TrackerSci effectively characterizes the transcriptome and chromatin landscape of progenitor cells in vivo.
The study provides insights into the aging brain's cellular dynamics and molecular mechanisms.
Findings highlight conserved aging signatures across species and identify region-specific cellular changes.
TrackerSci is a powerful tool for studying cell-type-specific temporal dynamics in various biological systems.