Abstract 818: Simultaneous spatial transcriptome and methylation profiling in fresh frozen and FFPE tissues.

Abstract Epigenetic regulation via DNA cytosine methylation is a key determinant of transcriptional programs, lineage specification, and cancer evolution as well as a prognostic indicator for certain cancer types at well characterized loci. Although spatial transcriptomics and chromatin profiling have expanded our understanding of gene-regulatory microenvironments, direct spatial mapping of the methylome in intact tissues has remained elusive. Spatial co-profiling of the transcriptome and DNA methylome bridges this gap by directly linking transcriptional output to epigenetic regulation within the tissue microenvironment. The AtlasXomics platform, built on the Deterministic Barcoding in Tissue for Spatial Omics Sequencing (DBiT-seq) assay, enables simultaneous capture of the whole transcriptome and genomic DNA fragments within defined spatial pixels, termed Spatial-DMT. RNA is reverse-transcribed with barcoded primers, while genomic DNA is processed by an enzymatic methyl-seq workflow that detects native cytosine methylation without bisulfite degradation. The paired libraries yielded co-registered maps of gene expression and DNA methylation in human medullablastoma and glioblastoma at 10µm resolution. Integration of methylome and transcriptome data delineated tissue architecture, lineage trajectories, and region-specific epigenetic states undetectable by transcriptomics alone. Implemented on the commercial AtlasXomics spatial barcoding platform, Spatial-DMT offers a standardized, scalable workflow compatible with frozen and FFPE specimens. This adaptability positions the method for translational studies of tumor heterogeneity, epigenetic reprogramming, and therapy response. By integrating methylation and gene expression within intact tissue architecture, Spatial-DMT bridges discovery-stage research and clinical pathology. Spatial DNA methylation and whole transcriptome profiling establish a powerful tool for spatial cancer epigenomics, enabling discovery of spatial epigenetic biomarkers, tumor-stroma interactions, and therapeutic response patterns. By uniting spatial methylome and transcriptome in clinical specimens, this technology advances precision oncology and bridges molecular profiling with clinical pathology. Citation Format: Katelyn Noronha, Molly Wetzel, Jennifer M. Garbarino, Jiaying Chen, Jeffrey Sabina, Colin Ng. Simultaneous spatial transcriptome and methylation profiling in fresh frozen and FFPE tissues [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 818.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-818
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 818: Simultaneous spatial transcriptome and methylation profiling in fresh frozen and FFPE tissues.

Molly Wetzel, Jennifer Garbarino, Jeffrey Sabina, Katelyn J. Noronha et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 818: Simultaneous spatial transcriptome and methylation profiling in fresh frozen and FFPE tissues.

Molly Wetzel, Jennifer Garbarino, Jeffrey Sabina, Katelyn J. Noronha, Jiaying Chen, Colin Ng
article en

Abstract

Abstract Epigenetic regulation via DNA cytosine methylation is a key determinant of transcriptional programs, lineage specification, and cancer evolution as well as a prognostic indicator for certain cancer types at well characterized loci. Although spatial transcriptomics and chromatin profiling have expanded our understanding of gene-regulatory microenvironments, direct spatial mapping of the methylome in intact tissues has remained elusive. Spatial co-profiling of the transcriptome and DNA methylome bridges this gap by directly linking transcriptional output to epigenetic regulation within the tissue microenvironment. The AtlasXomics platform, built on the Deterministic Barcoding in Tissue for Spatial Omics Sequencing (DBiT-seq) assay, enables simultaneous capture of the whole transcriptome and genomic DNA fragments within defined spatial pixels, termed Spatial-DMT. RNA is reverse-transcribed with barcoded primers, while genomic DNA is processed by an enzymatic methyl-seq workflow that detects native cytosine methylation without bisulfite degradation. The paired libraries yielded co-registered maps of gene expression and DNA methylation in human medullablastoma and glioblastoma at 10µm resolution. Integration of methylome and transcriptome data delineated tissue architecture, lineage trajectories, and region-specific epigenetic states undetectable by transcriptomics alone. Implemented on the commercial AtlasXomics spatial barcoding platform, Spatial-DMT offers a standardized, scalable workflow compatible with frozen and FFPE specimens. This adaptability positions the method for translational studies of tumor heterogeneity, epigenetic reprogramming, and therapy response. By integrating methylation and gene expression within intact tissue architecture, Spatial-DMT bridges discovery-stage research and clinical pathology. Spatial DNA methylation and whole transcriptome profiling establish a powerful tool for spatial cancer epigenomics, enabling discovery of spatial epigenetic biomarkers, tumor-stroma interactions, and therapeutic response patterns. By uniting spatial methylome and transcriptome in clinical specimens, this technology advances precision oncology and bridges molecular profiling with clinical pathology. Citation Format: Katelyn Noronha, Molly Wetzel, Jennifer M. Garbarino, Jiaying Chen, Jeffrey Sabina, Colin Ng. Simultaneous spatial transcriptome and methylation profiling in fresh frozen and FFPE tissues [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 818.

Cancer ResearchVol. 86(7_Supplement)
University of New Haven (US)
Openalex Percentile: Top 7%
Single-cell and spatial transcriptomics
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