Visualizing the Epigenetic Landscape of Aging and Cellular Reprogramming: Optimized ATAC-see for Cells and Tissues

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Authors: Natalie J. Kirkland, Manuel A Castro, Yihao Yang, Bhargav D. Sanketi, Mohammad Jaber, Veronica Lamas-Alverez, Freiya Malhotra, Juan Carlos Izpisúa Belmonte, Pura Muñoz‐Cánoves, Zachary A. Levine
Cited by: 1
References: 44

Abstract

Abstract Spatial chromatin organization dictates cellular function and resilience, yet scalable imaging methods to quantify chromatin states in situ across aging and interventions are lacking. While ATAC-see can visualize accessible chromatin, its broader application is hindered by protocol variability, low throughput, and incompatibility with complex tissues. Here, we systematically optimize the ATAC-see workflow for robust, high-throughput quantitative imaging in fixed, adherent mammalian cells and fresh frozen tissues. We validate the platform’s sensitivity to pharmacologic remodeling and apply it to replicative, chronological, and pathological aging in primary human fibroblasts, revealing progressive age-associated chromatin opening and heterochromatin remodeling. Furthermore, we demonstrate that our optimized ATAC-see captures rapid, reversible chromatin reorganization during OSK(M)-driven partial reprogramming of aged fibroblasts. Finally, we extend a cost-effective and accessible protocol to murine tissue sections, quantifying in situ age-dependent remodeling. This standardized framework establishes chromatin accessibility as a highly scalable, sequencing-compatible imaging biomarker for evaluating aging and rejuvenation. Summary Statement ATAC-see was optimized for scalable, quantitative imaging of chromatin remodeling during aging and cellular reprogramming, and extended to characterize age-associated epigenetic changes across organs.

Fields of Study & Subjects

Genomics and Chromatin Dynamics Pluripotent Stem Cells Research Epigenetics and DNA Methylation

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
13 July 2026
Document type
Preprint