Spatial transcriptomics has emerged as a powerful tool for investigating complex tissues. However, most spatial transcriptomics platforms were originally optimized for animal systems, where tissue dissociation, cell morphology, and transcriptomic structure differ substantially from those in plants. Consequently, applying spatial biology to plant systems frequently entails compromises concerning resolution, transcriptome coverage, or biological interpretability.

In this webinar, Dr. Shahid Mukhtar, Professor in the Department of Genetics and Biochemistry at Clemson University, will present the complete Stereo-seq spatial transcriptomics workflow applied across diverse plant tissues, including Arabidopsis leaves, duckweed fronds, soybean embryos and root nodules, and sunflower inflorescences.

This workflow, developed and validated in his laboratory, enables high-resolution, whole-transcriptome spatial profiling in plants while preserving native tissue architecture, supporting discovery-driven spatial biology without compromising structural integrity.

What you will learn: 

  • Why plant tissues challenge most spatial transcriptomics platforms 
    Understand how spot size, targeted gene panels, limited fields of view, and reduced RNA capture constrain many platforms to coarse or marker-based analyses in complex plant tissues. 
  • How Stereo-seq enables discovery-grade plant spatial biology
    Learn how ultra-high spatial resolution, whole-transcriptome capture, and large-area coverage allow Stereo-seq to resolve adjacent plant cell types, host–microbe programs, and regulatory RNA niches in intact tissue.
  • How a plant-optimized spatial framework scales across biology
    See how the same Stereo-seq approach extends from plant development and stress responses to mammalian brain tissue, revealing region- and cell-type-specific transcriptional changes with mechanistic clarity.

Speakers:

Spatial Single-Cell Atlases Across Plants and Microbes with Stereo-seq

Shahid M. Mukhtar, PhD
Professor, Dept of Genetics and Biochemistry
Clemson University

Stereo-seq: High-Resolution Spatial Transcriptomics for Plants

Yongfu Wang, PhD
Sr. Manager
Complete Genomics