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Related Experiment Video

Updated: Nov 2, 2025

A Suppressor Screen for the Characterization of Genetic Links Regulating Chronological Lifespan in Saccharomyces cerevisiae

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Published on: September 17, 2020

Identifying molecular targets for reverse aging using integrated network analysis of transcriptomic and epigenomic

Hwang-Yeol Lee^1,2, Yeonsu Jeon^3,4, Yeon Kyung Kim^3,4

¹Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.

Scientific Reports

|June 11, 2021

Summary

This study identifies aging biomarkers using DNA methylation and RNA sequencing. A network model revealed curcumin can target JUN to potentially reverse aging-related gene expression.

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Area of Science:

Gerontology
Molecular Biology
Bioinformatics

Background:

Aging involves physiological changes like muscle weakening and skin wrinkling.
Molecular biomarkers for aging exist, but regulatory mechanisms are unclear.

Purpose of the Study:

Identify aging-related epigenetic and transcriptomic biomarkers.
Discover molecular targets to reverse aging biomarkers.
Validate findings using chemical perturbagen data.

Main Methods:

Next-generation sequencing (DNA methylation and RNA sequencing) of blood samples from 51 healthy adults (20-74 years).
Gene regulatory network modeling and signal flow analysis.
Screening public gene expression data for chemical perturbagen responses.

Main Results:

Identified aging-related epigenetic and transcriptomic biomarkers.
Discovered candidate molecular targets for reversing aging biomarkers.
Curcumin identified as a compound that targets JUN to regulate aging biomarkers.

Conclusions:

Integrative omics data analysis using network models elucidates inter-omics regulation.
Identified potential therapeutic strategies against aging.
JUN emerges as a potential therapeutic target for aging.