Abstract

The colony formation assay (CFA) is a widely used method to assess the self-renewal capacity of cancer cells and evaluate how this property is affected by drug treatment. This protocol presents a streamlined, high-throughput CFA workflow optimized for T-cell acute lymphoblastic leukemia (T-ALL), making it suitable for large-scale drug screening projects. Colonies are grown in a methylcellulose-based 3D matrix and quantified using an automated analysis pipeline, allowing robust estimation of colony number and size. This cost-effective approach provides a scalable platform for identifying compounds that impair self-renewal, facilitating prioritization of hits for validation in more complex in vivo models.

Document Type

Article

Publication Date

2025

Notes/Citation Information

1873-5061/© 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Digital Object Identifier (DOI)

https://doi.org/10.1016/j.scr.2025.103757

Funding Information

This research was supported by the National Cancer Institute (R37CA227656 to JSB) and the Kentucky Pediatric Cancer Research Trust Fund (PON2 728 2400001524 to JSB).

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