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Updated: Jan 11, 2026

ATAC-Seq Optimization for Cancer Epigenetics Research
Published on: June 30, 2022
scFFPE-ATAC enables high-throughput single cell chromatin accessibility profiling in formalin-fixed paraffin-embedded
Ram Prakash Yadav1, Pengwei Xing1, Miao Zhao1
1Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
We developed scFFPE-ATAC, a new method to analyze epigenetic profiles in preserved Formalin-fixed paraffin-embedded (FFPE) tissues. This technique allows detailed study of cell types in long-term archived samples.
Area of Science:
- Epigenetics
- Molecular Biology
- Genomics
Background:
- Formalin-fixed paraffin-embedded (FFPE) tissues are crucial for clinical and research applications.
- Existing single-cell chromatin accessibility assays struggle with DNA damage in FFPE samples, limiting cell-type-specific epigenetic profiling.
Purpose of the Study:
- To develop a novel high-throughput single-cell assay, scFFPE-ATAC, for analyzing chromatin accessibility in FFPE tissues.
- To enable epigenetic studies on long-term archived clinical specimens.
Main Methods:
- scFFPE-ATAC integrates an FFPE-adapted Tn5 transposase, ultra-high-throughput DNA barcoding, T7 promoter-mediated DNA damage repair, and in vitro transcription.
- The method was benchmarked on FFPE mouse spleen and validated against fresh tissue.
- Applied to archived human lymph node and lung cancer FFPE tissues.
Main Results:
- scFFPE-ATAC successfully profiled epigenetic landscapes in archived human FFPE tissues.
- Distinct regulatory trajectories were identified between tumor center and invasive edge in lung cancer.
- Epigenetic dynamics associated with relapse and transformation were observed in B-cell lymphoma samples.
Conclusions:
- scFFPE-ATAC overcomes limitations of previous technologies, enabling high-throughput single-cell epigenetic analysis of FFPE samples.
- The method facilitates retrospective, spatial, and mechanistic epigenetic studies on valuable archived specimens.
- Opens new avenues for understanding disease progression and therapeutic responses using historical samples.
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