Journal

Current Protocols

Papers (3)

Analysis of Reactive Oxygen Species–Induced Cellular Damage in Cervical Cancer

Abstract Reactive oxygen species (ROS) are highly reactive oxygen‐based molecules comprising hydrogen peroxide, hydroxyl radicals, superoxide anion, and singlet oxygen. These species are produced intracellularly and play an important role in cellular signaling and metabolism. Their high reactivity damages intracellular macromolecules such as lipids and DNA. In cancer biology, ROS display a dual role: they promote cancer cell proliferation at low to moderate levels, whereas excessive accumulation overwhelms antioxidant defenses, causing oxidative stress and apoptosis. This has resulted in therapeutic strategies that selectively increase ROS in cancer cells to induce apoptosis. Vitamin D has demonstrated anti‐cancer properties, with one proposed mechanism involving ROS‐mediated apoptosis. This article outlines a workflow to investigate ROS‐induced cellular damage by vitamin D 3 in HeLa cervical cancer cells. The study begins with quantification of ROS levels and assessment of mitochondrial membrane potential in HeLa cultures. Transmission electron microscopy is used to examine mitochondrial ultrastructure. Lipid peroxidation quantifies downstream ROS‐mediated membrane and cellular injury. Antioxidant enzyme activities, including superoxide dismutase and catalase, measure cellular anti‐oxidative defence capacity. Lastly, the role of ROS inhibition of AKT signaling, leading to reduced cell survival and apoptosis, is quantified by immunoblotting. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1 : Preparation of HeLa cell cultures and treatment with vitamin D 3 Basic Protocol 2 : Quantification of ROS‐positive cells using the Muse Oxidative Stress assay Basic Protocol 3 : Measurement of mitochondrial membrane potential using the Muse MitoPotential assay Basic Protocol 4 : Ultrastructural evaluation of mitochondrial damage by transmission electron microscopy Basic Protocol 5 : Evaluation of lipid damage using a human 8‐iso prostaglandin F2α ELISA Basic Protocol 6 : Evaluation of total superoxide dismutase activity using an activity assay kit Basic Protocol 7 : Evaluation of catalase activity using an activity assay kit Basic Protocol 8 : Immunoblot analysis of AKT to assess PI3K/AKT signaling

A Novel NGS‐Based Algorithm for Precise HPV Genotyping and Co‐infection Detection in QCMD Samples and FFPE Tissues

Abstract Accurate genotyping of Human papillomavirus (HPV) is essential for cervical cancer screening, prognostic risk assessment, and epidemiological surveillance. Conventional methods, such as Sanger sequencing and hybridization‐based assays, often fail to detect mixed infections, particularly in cases involving DNA from formalin‐fixed paraffin‐embedded (FFPE) tissues. In this protocol, we present an optimized next‐generation sequencing (NGS) based pipeline for comprehensive HPV genotyping. Our workflow includes a curated HPV reference database of 229 HPV genotypes and a proportional read‐mapping algorithm. We validated our method using 30 samples from the Quality Control for Molecular Diagnostics (QCMD) proficiency testing panel and were able to fully replicate the expected outcomes—including detecting the defined co‐infection with HPV16/18. We then applied our approach to 50 clinical FFPE samples, identifying 44 HPV‐positive samples, including a co‐infection scenario that traditional diagnostic assays might have missed. This low‐cost, open‐source NGS‐based pipeline improves the sensitivity and accuracy of HPV detection from archival FFPE tissue specimens, cervical screening specimens, and other fresh tissue, and successfully closes the gap between research applications and clinical usage. © 2025 Wiley Periodicals LLC. Basic Protocol 1 : DNA isolation Basic Protocol 2 : PCR amplification Basic Protocol 3 : NGS Basic Protocol 4 : Data analysis

Publisher

Wiley

ISSN

2691-1299