Year: 2025
Type: preprint
Abstract: Single-cell technologies are transforming plant biology, yet broadly transferable nuclei isolation remains a key bottleneck for snRNA-seq. We developed a reproducible, Percoll-based workflow that is applicable to multiple maize tissues and eight additional plant species. In maize, nuclei from root, stem, leaf, and embryo consistently concentrated at the 80% Percoll interface and exhibited high integrity, with typical recoveries > 50,000 nuclei per sample. For other species, gradient compositions were tuned according to genome size to achieve efficient enrichment and clean suspensions, and yields ranged from 20,000 to 50,000 nuclei per sample. Downstream validation showed that nuclei from special interest maize and Tripsacum generated high-quality 10x Genomics snRNA-seq libraries, as supported by cDNA quality profiles. These results demonstrate the versatility and robustness of the method across species and tissues.
Institutions: Cornell University, Huazhong Agricultural University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
Award: G4951499343
OpenAlex ID: W4414029973