Concordance of MERFISH spatial transcriptomics with bulk and single-cell RNA sequencing

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Spatial transcriptomics integrates gene expression with tissue architecture.
• Single-cell RNA sequencing (scRNA-seq) lacks spatial information.
• Multiplexed error-robust fluorescence in situ hybridization (MERFISH) is an imaging-based spatial technology.

Purpose of the Study:

• To technically compare MERFISH with scRNA-seq.
• To evaluate MERFISH's ability to map cell types in spatial context.
• To assess computational integration of MERFISH with scRNA-seq atlases.

Main Methods:

• MERFISH was performed on mouse liver and kidney tissues.
• MERFISH data were compared with bulk and single-cell RNA sequencing statistics.
• MERFISH results were analyzed alongside Tabula Muris Senis and Visium datasets.

Main Results:

• MERFISH quantitatively reproduced bulk and scRNA-seq results.
• MERFISH demonstrated improved dropout rates and sensitivity.
• MERFISH independently resolved cell types and spatial structures in liver and kidney.
• Computational integration with scRNA-seq atlases did not improve MERFISH results.

Conclusions:

• MERFISH is a quantitatively comparable method for single-cell gene expression.
• MERFISH can identify cell types and spatial organization without scRNA-seq integration.
• MERFISH provides valuable spatial transcriptomics data at single-cell resolution.