Better Method for Isolating Cell Nuclei from Leaves for DNA Study

Jim Crocker
11th September, 2025

Better Method for Isolating Cell Nuclei from Leaves for DNA Study

Confocal imaging confirms that the optimized double-filter sorting strategy successfully eliminates contaminating chloroplasts observed in the pre-sorted maize (Zea mays) suspension (a–c), resulting in the retrieval of high-quality, intact nuclei (d–f).

Image adapted from: Madrid et al. / CC BY (Source)

Key Findings

  • Researchers developed a new method for isolating nuclei from corn leaves to improve single-cell RNA sequencing data quality
  • The new protocol uses a fluorescence-based sorting technique to remove chloroplasts, which can contaminate samples and skew results
  • This improved method increased the accuracy of gene and genome alignment and reduced the number of low-quality cells in the snRNA-seq data
Plant biology has historically been studied by examining whole plants, organs, or tissues as a single unit. However, this approach often masks the subtle differences between individual cells within these structures. Recent advances in single-cell transcriptomics – a technology that allows scientists to measure gene activity in individual cells – are changing this, providing a much more detailed understanding of how plants function[2][3]. A key challenge in utilizing these technologies, particularly single-nuclei RNA-seq (snRNA-seq), is isolating pure samples of nuclei from plant tissues. snRNA-seq works by extracting the nuclei – the control centers containing the genetic material – from cells. These nuclei are then analyzed to determine which genes are being expressed. A crucial step in this process is Fluorescent-Activated Cell Sorting (FACS), where nuclei are separated based on their fluorescent properties. Typically, nuclei are stained with a dye called DAPI, which binds to DNA, allowing them to be identified and isolated. However, this method can be problematic in tissues like leaves, which contain a high number of chloroplasts – the structures responsible for photosynthesis. Chloroplasts also contain DNA, and DAPI binds to this as well, leading to the mistaken identification of chloroplasts as nuclei. This contamination skews the results, giving an inaccurate representation of the true cellular composition of the tissue and potentially leading to an overestimation of the number of cells present. Researchers at the University of Florida, Universidade Federal de Viçosa, and National Cheng Kung University[1] addressed this issue by developing a modified nuclei isolation protocol for Zea mays (corn) leaves. The key innovation lies in using the natural fluorescence of chloroplasts themselves during the FACS process. Instead of relying solely on DAPI staining, they leveraged the fact that chloroplasts emit light at specific wavelengths. By filtering out these signals during sorting, they were able to significantly reduce the contamination of chloroplasts in their nuclei samples. This improved protocol resulted in cleaner data, with a better alignment of the genetic sequences (reads) to the corn genome and transcriptome – the complete set of RNA transcripts. This means the researchers were able to more accurately identify and quantify the genes expressed in each nucleus. The study demonstrates that by removing these contaminants, the researchers were able to generate more reliable data from snRNA-seq experiments, a finding that is particularly important for plant tissues with high chloroplast content. This work builds upon earlier studies utilizing single-cell RNA sequencing in plants[2][3], which highlighted the power of the technique for resolving cell type composition and developmental trajectories. The ability to accurately profile single cells is essential for understanding the complex processes occurring within plant tissues. For instance, studies on Arabidopsis thaliana roots have used scRNA-seq to map gene expression patterns across different cell types, including identifying rare cell populations and tracking developmental stages[2]. However, these initial studies were often limited by the challenges of isolating pure cell populations. The protocol developed in directly addresses one of these limitations, providing a valuable tool for improving the accuracy and reliability of snRNA-seq experiments in plants. Furthermore, research investigating the impact of polyploidy – the condition of having more than two sets of chromosomes – on gene expression also relied on single-cell techniques[4]. The ability to accurately quantify transcript abundance, as achieved by the improved protocol in, is crucial for understanding how polyploidy affects gene regulation in plant cells.

GeneticsBiochemPlant Science

References

Main Study

1) An improved nuclei isolation protocol from leaf tissue for single-cell transcriptomics

Published 10th September, 2025

https://doi.org/10.1371/journal.pone.0302118

Related Studies

2) Single-Cell RNA Sequencing Resolves Molecular Relationships Among Individual Plant Cells.

https://doi.org/10.1104/pp.18.01482

3) Single cell RNA sequencing and its promise in reconstructing plant vascular cell lineages.

https://doi.org/10.1016/j.pbi.2019.04.002

4) Single-cell RNA-seq analysis reveals ploidy-dependent and cell-specific transcriptome changes in Arabidopsis female gametophytes.

https://doi.org/10.1186/s13059-020-02094-0


Related Articles

An unhandled error has occurred. Reload 🗙