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Updated: Jun 17, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Nova-ST: Nano-patterned ultra-dense platform for spatial transcriptomics.

Suresh Poovathingal¹, Kristofer Davie², Lars E Borm³

¹VIB Center for AI & Computational Biology (VIB.AI), 3000 Leuven, Belgium; VIB-KU Leuven Center for Brain & Disease Research, CBD Technologies, Single Cell & Microfluidics Expertise Unit, 3000 Leuven, Belgium; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Cell Reports Methods

|August 7, 2024

Summary

This summary is machine-generated.

Nova-ST is a new spatial transcriptomics method using barcoded sequencing flow cells. This technique offers high-resolution, low-cost tissue gene expression profiling for large-scale studies.

Keywords:

CP: Biotechnology CP: Systems biology data analysis pipelines open-source methods patterned sequencing chips sequencing based subcellular resolution untargetted spatial transcriptomics

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Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Spatial transcriptomics is crucial for understanding tissue gene expression.
Current methods face limitations in capture array density and cost, hindering large-scale tissue atlasing.

Purpose of the Study:

To introduce Nova-ST, a novel, dense nano-patterned spatial transcriptomics technique.
To enable cost-effective, high-resolution spatial profiling of large tissue sections.

Main Methods:

Nova-ST utilizes randomly barcoded Illumina sequencing flow cells for dense spatial capture.
The method allows for customized and flexible spatial transcriptomics workflows.

Main Results:

Nova-ST achieves high-resolution spatial profiling of large tissue sections.
Benchmarking on mouse brain sections showed significantly higher sensitivity than existing methods.
The technique offers a reduced cost for spatial transcriptomics.

Conclusions:

Nova-ST provides a scalable, cost-effective solution for high-resolution spatial transcriptomics.
This method advances the potential for large-scale tissue atlasing and gene expression analysis.