Single-Cell and Single-Nuclei RNA-Sequencing Data Reveal Novel Insights into Pancreatic Islets

Strategic Insights -

Researchers at Lund University have published a new study in Scientific Reports, utilizing single-cell and single-nuclei RNA-sequencing data to analyze cell-specific transcriptomes in human pancreatic islets. The investigation highlighted the need for tailored annotation strategies for single-nuclei RNA-sequencing data, particularly in frozen biobanked samples. The study revealed novel marker genes, including DOCK10, KIRREL3, STK32B, and LAMC2, which improve single-nuclei RNA-sequencing-based annotation.

Key Takeaways:

  • The study compared single-cell and single-nuclei RNA-sequencing data from the same donors (N = 4) and evaluated annotation methods using cell type composition and gene detection.
  • The researchers identified novel marker genes, including DOCK10, KIRREL3 (beta cells), STK32B (alpha cells), MECOM, AC007368.1 (acinar cells), LAMC2 and SLC28A3 (ductal cells), which improve single-nuclei RNA-sequencing-based annotation.
  • Manual annotation identified the novel single-nuclei RNA-seq markers, which improved single-nuclei RNA-sequencing-based annotation.
  • The study highlighted the need for tailored single-nuclei RNA-sequencing annotation strategies, particularly in frozen biobanked samples.
  • The research team confirmed ZNF385D as a single-nuclei RNA-seq beta cell marker and ZNF385D silencing reduced insulin secretion.

Statistics:

  • The study analyzed RNA-sequencing data from 4 donors.
  • The researchers identified 6 novel single-nuclei RNA-seq marker genes (DOCK10, KIRREL3, STK32B, MECOM, AC007368.1, and LAMC2).
  • Reference-based annotations generated higher cell type prediction and mapping scores for single-cell RNA-sequencing than single-nuclei RNA-sequencing.
  • The study highlighted cell type proportion-differences between annotation methods, with larger differences for single-nuclei RNA-sequencing.

Sources:

  • Evaluating cell-specific gene expression using single-cell and single-nuclei RNA-sequencing data from human pancreatic islets of the same donors. Scientific Reports, 2025;15(1):36133. DOI: 10.1038/s41598-025-62233-w
  • Scientific Reports. Nature Portfolio, Heidelberger Platz 3, Berlin, 14197, Germany. (www.nature.com/srep)
  • Nature Publishing Group. www.nature.com/
  • Karin Engstrom, Epidemiology and Bioinformatics, Division of Occupational and Environmental Medicine, Dept. of Laboratory Medicine, Lund University, Lund, Sweden.