Computational and Structural Biotechnology JournalGenomicsPeer-reviewed journal article
A scalable MNase-seq framework for reproducible nucleosome profiling across pluripotent stem cell and cardiomyocyte models
Chris G. ThekkedamiD, David T. HumphreysiD, Marina Naval-SáncheziD, Amy M. NicksiD, Richard P. HarveyiD, Osvaldo ContrerasiD
Abstract
Micrococcal nuclease (MNase) digestion is widely used to profile chromatin accessibility and nucleosome footprinting. However, its application is often limited by sensitivity to reaction conditions, high cell input requirements, and the lack of standardized protocols across cell types. Here we developed a robust MNase workflow encompassing buffer composition, DNA purification chemistry, fixation and decrosslinking parameters, cell input scalability, and an in-house yeast spike-in for quantitative normalization. We validated this unified framework across human induced pluripotent stem cells (hiPSCs), hiPSC-derived cardiomyocytes at multiple differentiation stages, primary murine embryonic cardiac cells, and adult mouse cardiomyocytes, and demonstrated comparable digestion efficiencies and kinetics despite marked differences in cellular architecture and chromatin organization. Genome-wide MNase-seq in hiPSCs, combined with the nucMACC bioinformatic pipeline, resolved concentration-dependent nucleosomal occupancy and precise nucleosome positioning at pluripotency-related regulatory elements. This modular, end-to-end, and scalable workflow provides a standardized platform for reproducible MNase-based chromatin profiling across diverse in vitro and in vivo models. TEASERA unified, rapid, and scalable MNase-seq workflow for reproducible mononucleosomal and subnucleosomal profiling from stem cells to adult cardiomyocytes. HIGHLIGHTSO_LISystematic MNase optimization across buffer, DNA purification, and cell input variables C_LIO_LIUnified workflow validated in hiPSCs, hiPSC-CMs, embryonic, and adult cardiomyocytes C_LIO_LIFixed-cell protocol enables weeks of storage without loss of DNA quality C_LIO_LICost-effective yeast spike-in ensures quantitative normalization for MNase-seq C_LIO_LIGenome-wide analyses confirm robust and precise nucleosome positioning at regulatory elements C_LI
- organism: human
- organism: mouse
- assay: ChIP-seq
- research focus: variant calling
- research focus: benchmarking
- research focus: database / resource
- research focus: software / tool
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 46th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- CAM: A Quality Control Pipeline For MNase-Seq Data
Shengen Shawn Hu, Xiaolan Chen, … Yong Zhang·PLoS ONEPeer-reviewed·Aug 7, 2017
- nucMACC: A MNase-seq pipeline to identify structurally altered nucleosomes in the genome
Sara Wernig-Zorc, Fabian Kugler, … Uwe Schwartz·bioRxiv·Dec 29, 2022
- SEM: sized-based expectation maximization for characterizing nucleosome positions and subtypes
Jianyu Yang, Kuangyu Yen, Shaun Mahony·Genome ResearchPeer-reviewed·Sep 1, 2024
- NUCOME: A Comprehensive Database of Nucleosome Organizations in Mammalian Genomes
Xiaolan Chen, Hui Yang, Yong Zhang·bioRxiv·Sep 11, 2018
- Universal NicE-seq for high resolution accessible chromatin profiling for formaldehyde fixed and FFPE tissues
Hang Gyeong Chin, Zhiyi Sun, … Sriharsa Pradhan·Clinical EpigeneticsPeer-reviewed·Sep 22, 2020
- Nucleosome repositioning in cardiac reprogramming
Sonalí Harris, Syeda Samara Baksh, … Conrad P. Hodgkinson·PLoS ONEPeer-reviewed·Jan 15, 2025