Integration of imaging-based and sequencing-based spatial omics mapping on the same tissue section via DBiTplus

Spatially mapping the transcriptome and proteome in the same tissue section can profoundly advance our understanding of cellular heterogeneity and function. Here we present Deterministic Barcoding in Tissue sequencing plus (DBiTplus), an integrative multimodal spatial omics approach combining sequencing-based spatial transcriptomics and multiplexed protein imaging on the same section, enabling both single-cell-resolution cell typing and transcriptome-wide interrogation of biological pathways. DBiTplus utilizes spatial barcoding and RNase H-mediated cDNA retrieval, preserving tissue architecture for multiplexed protein imaging. We developed computational pipelines to integrate these modalities, allowing imaging-guided deconvolution to generate single-cell-resolved spatial transcriptome atlases. We demonstrate DBiTplus across diverse samples including frozen mouse embryos, and formalin-fixed paraffin-embedded human lymph nodes and lymphoma tissues, highlighting its compatibility with challenging clinical specimens. DBiTplus uncovered mechanisms of lymphomagenesis, progression and transformation in human lymphomas. Thus, DBiTplus is a unified workflow for spatially resolved single-cell atlasing and unbiased exploration of biological mechanisms in a cell-by-cell manner at transcriptome scale.

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Publication Details

Journal
Nature Methods
Published
2026-01-15
DOI
https://doi.org/10.1038/s41592-025-02948-0
Citations
2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
44.47
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Integration of imaging-based and sequencing-based spatial omics mapping on the same tissue section via DBiTplus

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2 citations
Nature Methods
Single-cell and spatial transcriptomics
44.47
article

Integration of imaging-based and sequencing-based spatial omics mapping on the same tissue section via DBiTplus

Hailing Zong, Shuozhen Bao, Oliver Braubach, Zhiliang Bai, Matthew H. Ingalls, Archibald Enninful, Dmytro Klymyshyn, Graham Su, N. Zhang, Mingyu Yang, Ye Lu, Mina Luqing Xu, Zongming Ma, Jungmin Nam, Rong Fan, Siyan Deng, Alev Baysoy, Zhaojun Zhang
article en
2 citations

Abstract

Spatially mapping the transcriptome and proteome in the same tissue section can profoundly advance our understanding of cellular heterogeneity and function. Here we present Deterministic Barcoding in Tissue sequencing plus (DBiTplus), an integrative multimodal spatial omics approach combining sequencing-based spatial transcriptomics and multiplexed protein imaging on the same section, enabling both single-cell-resolution cell typing and transcriptome-wide interrogation of biological pathways. DBiTplus utilizes spatial barcoding and RNase H-mediated cDNA retrieval, preserving tissue architecture for multiplexed protein imaging. We developed computational pipelines to integrate these modalities, allowing imaging-guided deconvolution to generate single-cell-resolved spatial transcriptome atlases. We demonstrate DBiTplus across diverse samples including frozen mouse embryos, and formalin-fixed paraffin-embedded human lymph nodes and lymphoma tissues, highlighting its compatibility with challenging clinical specimens. DBiTplus uncovered mechanisms of lymphomagenesis, progression and transformation in human lymphomas. Thus, DBiTplus is a unified workflow for spatially resolved single-cell atlasing and unbiased exploration of biological mechanisms in a cell-by-cell manner at transcriptome scale.

Nature Methods
Bruker (United States) (US), Yale Cancer Center (US), Yale University (US), Akoya Biosciences (United States) (US), University of Pennsylvania (US)
Openalex Percentile: Top 0%
Single-cell and spatial transcriptomics
44.47
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