Integrated experimental and computational workflows for single-cell transcriptomics in plants

This study benchmarks integrated experimental and computational workflows for plant single-cell transcriptomics using maize material. It compares protoplast and nuclei preparation strategies, including fresh and frozen inputs, and links wet-lab optimization with analytical guidance to improve data quality, reproducibility, and practical adoption of plant cell-resolved sequencing.

The Countstar Mira FL automatically counted AOPI-stained purified maize nuclei before loading and library preparation for downstream single-nucleus transcriptomic analysis.