FALCON-qPCR: a new method for the quantification of oxidative lesions in mitochondrial DNA

Accurate quantification of oxidative mitochondrial DNA (mtDNA) lesions remains technically challenging due to the limitations of existing assays, which often require large sample inputs, multi-day workflows, and offer limited sensitivity. Here we introduce FALCON-qPCR (Fpg-assisted Long-PCR), a streamlined, high-sensitivity method for quantifying oxidative damage in mtDNA. FALCON-qPCR couples digestion with formamidopyrimidine [fapy]-DNA glycosylase (Fpg) to long-range PCR and qPCR-based normalization, enabling precise lesion quantification from as few as 10,000 cells (~300 ng total DNA) within a single day. The assay provides a robust dynamic range and reproducibility across diverse biological systems, including human cell lines, hepatocellular carcinoma biopsies, and <i>Caenorhabditis elegans</i>. Compared with established methods, FALCON-qPCR exhibits markedly higher sensitivity in detecting mtDNA damage induced by hydrogen peroxide, antimycin A, and rotenone. Its performance was further demonstrated in assessing mitochondrial toxicity of ruthenium-based compounds, highlighting its potential for pharmacological screening. By integrating enzymatic lesion recognition with quantitative amplification in a unified workflow, FALCON-qPCR eliminates the need for mitochondrial isolation. This methodological advance provides a rapid, accurate, and scalable platform for studying oxidative DNA damage, with broad applicability in mitochondrial research and translational toxicology.

Authors

Institutions

Publication Details

Journal
Bioanalysis
Published
2025-12-17
DOI
https://doi.org/10.1080/17576180.2025.2608757
Primary Topic
Mitochondrial Function and Pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FALCON-qPCR: a new method for the quantification of oxidative lesions in mitochondrial DNA

Veronica Bazzani, Antonio Paolo Beltrami, D. Cesselli, Carlo Vascotto et al.
Bioanalysis
Mitochondrial Function and Pathology
article

FALCON-qPCR: a new method for the quantification of oxidative lesions in mitochondrial DNA

Veronica Bazzani, Antonio Paolo Beltrami, D. Cesselli, Carlo Vascotto, Eve Harding, Dario R. Alessi, Pierfrancesco Del Mestre, Mara Equisoain Redin, Szymon Baliński, Michał Turek, Umberto Baccarani
article en

Abstract

Accurate quantification of oxidative mitochondrial DNA (mtDNA) lesions remains technically challenging due to the limitations of existing assays, which often require large sample inputs, multi-day workflows, and offer limited sensitivity. Here we introduce FALCON-qPCR (Fpg-assisted Long-PCR), a streamlined, high-sensitivity method for quantifying oxidative damage in mtDNA. FALCON-qPCR couples digestion with formamidopyrimidine [fapy]-DNA glycosylase (Fpg) to long-range PCR and qPCR-based normalization, enabling precise lesion quantification from as few as 10,000 cells (~300 ng total DNA) within a single day. The assay provides a robust dynamic range and reproducibility across diverse biological systems, including human cell lines, hepatocellular carcinoma biopsies, and <i>Caenorhabditis elegans</i>. Compared with established methods, FALCON-qPCR exhibits markedly higher sensitivity in detecting mtDNA damage induced by hydrogen peroxide, antimycin A, and rotenone. Its performance was further demonstrated in assessing mitochondrial toxicity of ruthenium-based compounds, highlighting its potential for pharmacological screening. By integrating enzymatic lesion recognition with quantitative amplification in a unified workflow, FALCON-qPCR eliminates the need for mitochondrial isolation. This methodological advance provides a rapid, accurate, and scalable platform for studying oxidative DNA damage, with broad applicability in mitochondrial research and translational toxicology.

BioanalysisVol. 17(24)
University of Udine (IT), University of Padua (IT), Polish Academy of Sciences (PL)
Openalex Percentile: Top 34%
Mitochondrial Function and Pathology
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.