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Multiscale chromatin dynamics and high entropy in plant iPSC ancestors

Journal of Cell Science · 24 Jun 2024 · 10.1242/jcs.261703

Abstract

ABSTRACT Plant protoplasts provide starting material for of inducing pluripotent cell masses that are competent for tissue regeneration in vitro, analogous to animal induced pluripotent stem cells (iPSCs). Dedifferentiation is associated with large-scale chromatin reorganisation and massive transcriptome reprogramming, characterised by stochastic gene expression. How this cellular variability reflects on chromatin organisation in individual cells and what factors influence chromatin transitions during culturing are largely unknown. Here, we used high-throughput imaging and a custom supervised image analysis protocol extracting over 100 chromatin features of cultured protoplasts. The analysis revealed rapid, multiscale dynamics of chromatin patterns with a trajectory that strongly depended on nutrient availability. Decreased abundance in H1 (linker histones) is hallmark of chromatin transitions. We measured a high heterogeneity of chromatin patterns indicating intrinsic entropy as a hallmark of the initial cultures. We further measured an entropy decline over time, and an antagonistic influence by external and intrinsic factors, such as phytohormones and epigenetic modifiers, respectively. Collectively, our study benchmarks an approach to understand the variability and evolution of chromatin patterns underlying plant cell reprogramming in vitro.

Plant phenotyping relevance

植物プロトプラストのクロマチン状態を高スループット画像とカスタム画像解析で定量し、100以上の特徴を抽出・ベンチマークしており、表現型取得法が研究の中心である。

abstractwe used high-throughput imaging and a custom supervised image analysis protocol extracting over 100 chromatin features of cultured protoplasts.
abstractCollectively, our study benchmarks an approach to understand the variability and evolution of chromatin patterns underlying plant cell reprogramming in vitro.

Code and data availability

The paper's chromatin feature datasets (Dryad doi:10.5061/dryad.pnvx0k6wp) and images (BioStudies S-BIAD1157) are paper-specific public assets, but their repository URLs are not among the allowed URLs, so they cannot be listed. The authors' adapted entropy analysis script is publicly available on the authors' GitHub (a

Codepublic

interval (a new observation from the same group will fall inside the ellipse with probability P= 0.95). Entropy analysis The initial script for computing Shannon Entropy is described in Dussiau et al. (2022) and is available at https://osf.io/9mcwg/ . The adapted script for computing entropy of chromatin features is provided at https://github.com/barouxlab/ChromatinEntropy . When all cells (segmented nuclei) express the same value for a given feature, this entropy of the feature will be null. The more cell-to-cell variability for a given chromatin feature, the higher value of entropy. Plots and statistical tests Box plots, violin plots, scatter plots, 2D contours and histograms were created

Open resource ↗barouxlab/ChromatinEntropy · lines:121-147

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