Protocol for cyclic DNA-damaging treatments to generate high mutational burden in the human A549 cell line

Here, we present a protocol that describes iterative exposure of the human lung cancer cell line A549 to DNA-damaging agents to progressively increase mutational burden. We describe steps for controlled cytotoxic dosing, metabolic activation, and repeated treatment cycles of up to 70 iterations, followed by clonal isolation. This approach enables the generation of highly mutated cell populations suitable for downstream genomic analyses. For complete details on the use and execution of this protocol, please refer to Juhász et al. 1

Authors

Institutions

Publication Details

Journal
STAR Protocols
Published
2026-09-18
DOI
https://doi.org/10.1016/j.xpro.2026.104842
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Protocol for cyclic DNA-damaging treatments to generate high mutational burden in the human A549 cell line

Gergely Imre, Szilvia Juhász
STAR Protocols
Cancer Genomics and Diagnostics
article

Protocol for cyclic DNA-damaging treatments to generate high mutational burden in the human A549 cell line

Gergely Imre, Szilvia Juhász
article en

Abstract

Here, we present a protocol that describes iterative exposure of the human lung cancer cell line A549 to DNA-damaging agents to progressively increase mutational burden. We describe steps for controlled cytotoxic dosing, metabolic activation, and repeated treatment cycles of up to 70 iterations, followed by clonal isolation. This approach enables the generation of highly mutated cell populations suitable for downstream genomic analyses. For complete details on the use and execution of this protocol, please refer to Juhász et al. 1

STAR ProtocolsVol. 7(4)
HUN-REN Szegedi Biológiai Kutatóközpont (HU), Institute of Biochemistry (HU), MTA-SZTE Research Group on Artificial Intelligence (HU)
Nemzeti Kutatási és Technológiai Hivatal
Good health and well-being
Openalex Percentile: Top 15%
Cancer Genomics and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Protocol for cyclic DNA-damaging treatments to generate high mutational burden in the human A549 cell line — Gergely Imre, Szilvia Juhász · STAR Protocols (2026) | TGRS Research Map | TGRS