REVIVE: a computational platform for systematically identifying rejuvenating chemical and genetic perturbations.

Sascha Jung, Javier Arcos Hodar, Tejwasi Venkata S Badam, Antonio Del Sol

Computational Biology Group, CIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park, Derio 48160, Spain. · pubmed

Paper

Abstract

Great efforts have been devoted to discovering rejuvenation strategies that counteract age-related functional decline and improve cellular functions in humans. However, new discoveries are currently driven by expert knowledge and require large amounts of resources. Here, we present REVIVE (Rejuvenation Estimation Via Insightful Virtual Experiments), the first computational framework for systematically predicting chemical and genetic perturbations that can restore a youthful transcriptional state based on gene expression data. REVIVE leverages age predictions to detect significant rejuvenating effects and quantifies the impact of perturbations on the hallmarks of aging. When applied to a large-scale

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

REVIVE is a computational framework that predicts chemical and genetic perturbations to restore a youthful transcriptional state. This paper is relevant as it addresses rejuvenation strategies aimed at counteracting age-related functional decline, focusing on the root causes of aging rather than merely treating symptoms.

Author of this paper? Send a correction.