BARseq3: a modular system for integrating spatial multi-omics and cellular barcoding in single cells

Area of Science:

• Single-cell biology
• Molecular biology
• Genomics

Background:

• Understanding cellular identity necessitates multimodal measurements at the single-cell level.
• Cellular barcoding and spatial omics are key technologies, but integrating them is challenging.
• Current methods lack flexibility, efficiency, and support for diverse modalities.

Purpose of the Study:

• To develop a modular system integrating cellular barcoding with spatial transcriptomics and translatomics.
• To achieve high-efficiency molecular measurements at subcellular resolution within tissues.
• To enable a multimodal understanding of cellular identity in various biological contexts.

Main Methods:

• Introduction of BARseq3, a novel modular system.
• Combination of cellular barcoding with spatial transcriptomics and translatomics.
• Application to fixed samples, supporting immunostaining and diverse species.

Main Results:

• BARseq3 achieves high-efficiency spatial transcriptomics and translatomics at subcellular resolution.
• The system demonstrates compatibility with fixed samples and immunostaining.
• BARseq3 is easily extensible to incorporate additional spatial assays.

Conclusions:

• BARseq3 provides a flexible and efficient platform for multimodal single-cell analysis.
• This technology advances the understanding of cellular identity through integrated molecular profiling.
• BARseq3 opens new avenues for spatial multi-omics research in diverse biological samples.