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Related Experiment Video

Updated: May 15, 2026

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM

Published on: March 2, 2017

Cell lineage analyses in living tissues.

John Runions¹, Smita Kurup

¹Department of Biological and Medical Sciences, Oxford Brookes University, Gypsy Lane, Oxford, UK.

Methods in Molecular Biology (Clifton, N.J.)

|January 10, 2013

Summary

This summary is machine-generated.

This study introduces a novel lineage tracing method for developmental biology. It uses a heat-inducible fluorescent protein to mark progenitor cells and their descendants in living tissues, enabling easier verification of developmental processes.

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Area of Science:

Developmental Biology
Cell Biology
Genetics

Background:

Traditional lineage tracing methods in fixed tissues lack dynamic verification.
Observing cell lineage development in living organisms is crucial for understanding biological processes.

Purpose of the Study:

To develop a reliable method for marking and tracking cell lineages in real-time during tissue development.
To enable rapid assessment of genetic or physical manipulations on developing tissues.

Main Methods:

A heat-inducible nuclear-localized fluorescent protein (YFP) system was employed for lineage marking.
Heat shock was used to activate YFP expression in single progenitor cells.
Both general incubator-based and targeted laser-based heat shock methods were utilized for lineage marking.

Main Results:

The YFP expression was successfully inherited by all daughter cells through mitosis, enabling lineage tracing.
The method allowed for the visualization of cell lineages originating from marked progenitor cells.
The system facilitated the estimation of developmental effects following experimental manipulations.

Conclusions:

This novel lineage tracing technique provides a powerful tool for developmental biologists.
The method enhances the ability to study cell fate and tissue development in living systems.
It offers a verifiable and dynamic approach to lineage analysis.