Abstract 815: Simultaneous spatial transcriptome and epigenome profiling in fresh frozen and FFPE tissues with spatial CoPro.

Abstract Understanding how gene regulation drives tumor evolution and therapeutic response requires spatially resolved, multi-omic data from clinically relevant samples. Current approaches for mapping gene expression dynamics rely on pairing spatial ATAC-seq with separate spatial or single-cell transcriptomic assays performed on adjacent sections. This consumes precious tissue, requires cross-slide computational integration, and makes it difficult to capture the state of the same cells—often obscuring key regulatory relationships and cell states. Here we introduce Spatial CoPro, a multi-omics assay that captures open chromatin and unbiased whole-transcriptome states within the same section, preserving morphology and spatial context in both fresh frozen and FFPE tissues. Built on the Deterministic Barcoding in Tissue for Spatial Omics Sequencing (DBiT-seq) platform, the innovation centers on a random hexamer priming strategy for unbiased capture of coding and noncoding transcripts. Unlike poly(A)-based approaches that capture only polyadenylated transcripts and are not suitable for fragmented or degraded RNA, random priming recovers RNA fragments across the gene body, making it particularly effective for both Fresh Frozen and FFPE samples. This provides a more complete and less biased view of transcriptional states while directly pairing with high-resolution chromatin accessibility data. Our Spatial CoPro assay achieves >2,000 fragments (FRiP >20%) for chromatin accessibility and >500 UMIs with >300 detected genes for RNA capture per 10 µm × 10 µm spot, approaching single-nucleus resolution across a 5.5 mm × 5.5 mm region in mouse hippocampus and human prostate cancer. Transcriptome performance matches industry standard spatial transcriptomics assays, while chromatin accessibility matches single-modality spatial ATAC-seq. Matched fresh frozen and FFPE sections correlate strongly across modalities (R >0.7), ensuring robustness across clinical specimens. This unified and FFPE-compatible workflow enables analysis of spatially distinct regulatory programs, enhancer-gene interactions, and tumor cell states not detectable with single-omic assays. By extending multi-omic spatial profiling to clinical specimens, Spatial CoPro establishes a new standard for spatial epigenome-transcriptome integration, advancing studies of tumor heterogeneity, therapeutic resistance, and disease progression to accelerate precision oncology and biomarker discovery. Citation Format: Katelyn Noronha, Molly Wetzel, Abigail Chang, Jennifer M. Garbarino, Jiaying Chen, Jeffrey Sabina, Colin Ng. Simultaneous spatial transcriptome and epigenome profiling in fresh frozen and FFPE tissues with spatial CoPro [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 815.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-815
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 815: Simultaneous spatial transcriptome and epigenome profiling in fresh frozen and FFPE tissues with spatial CoPro.

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

Abstract 815: Simultaneous spatial transcriptome and epigenome profiling in fresh frozen and FFPE tissues with spatial CoPro.

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

Abstract

Abstract Understanding how gene regulation drives tumor evolution and therapeutic response requires spatially resolved, multi-omic data from clinically relevant samples. Current approaches for mapping gene expression dynamics rely on pairing spatial ATAC-seq with separate spatial or single-cell transcriptomic assays performed on adjacent sections. This consumes precious tissue, requires cross-slide computational integration, and makes it difficult to capture the state of the same cells—often obscuring key regulatory relationships and cell states. Here we introduce Spatial CoPro, a multi-omics assay that captures open chromatin and unbiased whole-transcriptome states within the same section, preserving morphology and spatial context in both fresh frozen and FFPE tissues. Built on the Deterministic Barcoding in Tissue for Spatial Omics Sequencing (DBiT-seq) platform, the innovation centers on a random hexamer priming strategy for unbiased capture of coding and noncoding transcripts. Unlike poly(A)-based approaches that capture only polyadenylated transcripts and are not suitable for fragmented or degraded RNA, random priming recovers RNA fragments across the gene body, making it particularly effective for both Fresh Frozen and FFPE samples. This provides a more complete and less biased view of transcriptional states while directly pairing with high-resolution chromatin accessibility data. Our Spatial CoPro assay achieves >2,000 fragments (FRiP >20%) for chromatin accessibility and >500 UMIs with >300 detected genes for RNA capture per 10 µm × 10 µm spot, approaching single-nucleus resolution across a 5.5 mm × 5.5 mm region in mouse hippocampus and human prostate cancer. Transcriptome performance matches industry standard spatial transcriptomics assays, while chromatin accessibility matches single-modality spatial ATAC-seq. Matched fresh frozen and FFPE sections correlate strongly across modalities (R >0.7), ensuring robustness across clinical specimens. This unified and FFPE-compatible workflow enables analysis of spatially distinct regulatory programs, enhancer-gene interactions, and tumor cell states not detectable with single-omic assays. By extending multi-omic spatial profiling to clinical specimens, Spatial CoPro establishes a new standard for spatial epigenome-transcriptome integration, advancing studies of tumor heterogeneity, therapeutic resistance, and disease progression to accelerate precision oncology and biomarker discovery. Citation Format: Katelyn Noronha, Molly Wetzel, Abigail Chang, Jennifer M. Garbarino, Jiaying Chen, Jeffrey Sabina, Colin Ng. Simultaneous spatial transcriptome and epigenome profiling in fresh frozen and FFPE tissues with spatial CoPro [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 815.

Cancer ResearchVol. 86(7_Supplement)
University of New Haven (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.