Deaminase-Based Chromatin Footprinting: An Intro to DAF-seq, ACCESS-ATAC & More

Transforming Single-Molecule Epigenomics one C-to-T Transition at a Time

How a gene is regulated shapes everything from normal development to disease. Normal gene regulation is controlled by the coordinated binding of multiple proteins at key elements, like enhancers and promoters, which can be kilobases apart along the linear DNA.

While we know conceptually that these binding events occur to switch genes on and off, it’s been difficult to actually map or measure the occupancy of multiple proteins along individual strands of DNA. Cleavage-based assays (MNase-, DNase I-, and ATAC-seq) have traditionally been used to identify accessible stretches of DNA, providing an approach for unbiased detection of protein position, since protein-bound DNA is protected. However, these methods are incapable of connecting multiple binding events on the same individual strands. More recently published methods based on DNA-methyltransferases for labeling accessible DNA (Fiber-seq, SAMOSA, etc.) preserve the DNA strand, allowing detection of co-binding or co-regulated elements along individual strands, but are incompatible with PCR and therefore require a substantial amount of starting material.

Deaminase-based accessibility mapping methods are rapidly gaining interest in the epigenomics community, and among scientists more broadly who want to understand how gene regulation is coordinated across multi-kilobase stretches of DNA. Double-stranded DNA deaminases (dsDNA) label accessible DNA without cutting it, in a way that survives amplification, which addresses both limitations at once. Here, we provide a brief overview of this new class of chromatin accessibility and protein-occupancy mapping methods: how representative examples of each assay works, which deaminases they use, and how they compare across short- and long-read platforms.

How does deaminase-based chromatin footprinting work?

Cytosine deaminases have been known for decades and are found across all domains of life, with different classes acting on free nucleosides, RNA, or DNA. However, it wasn’t until 2020 that a DNA deaminase was first demonstrated to function on double-stranded DNA (dsDNA), with several additional dsDNA deaminases reported since, including a broad panel recently published by NEB.1 While single-stranded DNA (ssDNA) deaminases had been used for genome editing with the assistance of helicases, they are not suitable for native chromatin mapping since they display little to no activity on dsDNA.

In deaminase-based chromatin mapping methods, nuclei are incubated with non-specific dsDNA deaminases. The deaminase converts accessible cytosines to uracil, which are then converted from U-to-T during PCR, resulting in a C-to-T transition (or G-to-A transition on the opposing strand). Cytosines bound by TFs or within DNA wrapped around nucleosomes are protected from deamination. Following sequencing, these C-to-T mutations are interpreted as open or unprotected DNA. Therefore, stretches of DNA without C-to-T mutations are inferred TF or nucleosome bound locations.

Multiple epigenomic assays have been published that leverage bacterial dsDNA deaminases to map chromatin structure and fine map protein footprints (Table 1). Since deamination is non-destructive, DNA treated with dsDNA deaminases can be sequenced using either long-read or short-read methods. Long-read deaminase accessibility mapping methods (e.g., DAF-seq and TDAC-seq) have been used to resolve co-binding events and protein binding order to define gene regulation mechanisms. They have also been used to directly link CRISPR genetic perturbations to functional consequences for TF binding within open chromatin, and to provide the first chromosome-scale single-cell accessibility maps. Short-read deaminase accessibility mapping methods (e.g.: FOODIE, ACCESS-ATAC, and cFOOT-seq) detect protein footprints within Tn5-enriched accessible regions, achieving near-base resolution at lower sequencing depth than is required by ATAC-seq TF mapping.

Table 1. Emerging single-molecule epigenomic methods leveraging double-stranded DNA deaminases.

← Swipe to see the full table →

Method

Sequencing Platform

(Workflow Order)

Method Highlights

Deaminase(s) Used

Reference

DAF-seq

Long-read

Targeted single-molecule chromatin fiber sequencing; PCR-compatible; up to 100-plex per run; scDAF-seq enables chromosome-scale single-cell maps

SsDddA

Swanson et al., Nature Biotechnology 20252

TDAC-seq

Long-read

Couples deaminase chromatin profiling with pooled CRISPR screening; links genetic perturbations and chromatin accessibility on the same single fiber

DddA11, MGYFPDa829

Roh et al., Nature Methods 20253

FOODIE

Short-read

(Tn5→Deaminase)

Combines dsDNA deaminase after Tn5 tagmentation for high resolution accessibility and TF footprinting

DddB, MGYPDa829

He et al., PNAS 20244

ACCESS-ATAC

Short-read

(Tn5 ←→ Deaminase)

Combines dsDNA deaminase labeling concurrently or sequentially with Tn5 tagmentation for high resolution accessibility and TF footprinting

DddA, DddSs (also called SsDddA)

Yu et al., bioRxiv 20245

cFOOT-seq

Short-read

(Tn5→Deaminase

Deaminase→Tn5)

Couples deaminase labeling with whole-genome sequencing to capture TF footprinting genome-wide; compatible with ATAC-seq and scATAC-seq workflows. Distinct advantages observed when performing deaminase labeling before or after Tn5-tagmentation for ATAC-seq

SsdAtox

Wang et al., Protein & Cell 20256

D&D-seq+

Short-read

Tethered deaminase

Antibody/nanobody-tethered deaminase for specific protein–DNA interactions (including weak/transient); records binding as local C→U edits; not a general accessibility method

DddA11 (split / base-editor form fused to nanobody)

Chi et al., Cell (2026)7

+ D&D-seq is included here for completeness. Unlike the other methods in this table, it uses an antibody- or nanobody-tethered deaminase to record a single protein’s DNA interactions rather than mapping chromatin accessibility broadly, so it is not discussed further in this piece.

Long-read Deaminase Assays

Long-read sequencing leverages the non-destructive property of deaminases by sequencing tens of kilobases of a genomic region of interest. Importantly, this enables multiple features to be observed on the same DNA molecule at the same time within the same cell. For example, a TF could be footprinted within an enhancer region that is 4 kb upstream of a promoter region that is in an open configuration. In addition, low frequency TF binding or the impact of a rare genetic variant may be observed within its natural chromatin context. Simultaneously capturing these rare single-molecule insights is technically challenging with other long-read methods. 

DAF-seq2 uses SsDddA to perform targeted, single-molecule chromatin fiber sequencing on PacBio HiFi instruments (formal Oxford Nanopore compatibility hasn’t yet been published). Because the resulting C-to-T deamination pattern survives PCR, DAF-seq is amplification-compatible in a way earlier long-read methods like Fiber-seq are not: libraries can be enriched for specific loci from far smaller amounts of input material and multiplexed up to 100 samples per sequencing run. The stochastic pattern of deamination events along each fiber also functions as a built-in unique molecular identifier, so individual molecules can be tracked and deduplicated without any additional barcoding step. Because DAF-seq easily achieves coverage depth in the thousands, it can also infer the order in which proteins bind a locus and link low-frequency variants to the associated loss of protein binding from the same molecule. An extension of the method, single-cell DAF-seq (scDAF-seq), pushes this further to generate the first chromosome-scale single-cell chromatin accessibility maps, allowing the study of co-regulated elements along the same chromatin fiber nearly 100kb apart.

TDAC-seq3 applies the same core concept (long-read, single-molecule deamination footprinting) to pooled CRISPR screening. Using different dsDNA deaminases (DddA11 and MGYFPDa829), TDAC-seq reads out a genetic perturbation and the surrounding chromatin structure from the same single DNA fiber, directly linking a CRISPR edit to changes in DNA accessibility on the same molecule. Those changes in DNA accessibility, such as shifts in nucleosome positioning or transcription factor occupancy, link CRISPR edits to their consequences in a way that sequencing the edit and profiling chromatin separately never could. Capturing the edit and the functional consequence simultaneously makes this approach ideal for pooled screens to evaluate how sequence motifs control accessibility of regulatory elements or the impact of single guide RNAs (sgRNAs) in DNA editing strategies.

Together, these two methods illustrate the value deaminases are bringing to single-molecule genomics: each long-read provides a detailed picture of what’s bound and accessible across kilobases of DNA, instead of capturing a population average. These methods allow researchers to understand co-occupancy, complex TF binding arrangements, and pooled genetic-perturbation outcomes all from individual reads. A lab can now capture a promoter, its distal enhancers, and the transcription factors connecting them in a single experiment, rather than piecing together the mechanistic story from several bulk experiments.

Short-read Deaminase Assays

Short-read deaminase methods build on the ATAC-seq workflow, giving up the single-molecule, multi-kilobase context of long-read sequencing in exchange for compatibility with widely available short-read instruments, such as Illumina platforms. The short-read deaminase assays are relatively simple to perform, but they require custom analysis pipelines and quality control reports to track both deamination and tagmentation. Because these methods are combined with ATAC-seq, the reads enrich for accessible regions of the genome, which are typically promoters and enhancers. Compared to long-read sequencing, these short-read sequencing deaminase assays offer high resolution footprinting in a cost-effective manner that is more widely accessible. In practice, this means labs already running ATAC-seq or short-read whole-genome sequencing can extract this additional layer of detail from the same sequencing budget, rather than adopting a new platform.

Three published methods layer a dsDNA deaminase onto Tn5-based ATAC-seq. Interestingly, each employs a different order of operations. For example, FOODIE4 generates high-resolution accessibility and TF footprinting maps by first tagmenting DNA with Tn5 followed by deamination using DddB or MGYPDa829. ACCESS-ATAC5 either concurrently or sequentially treats nuclei with deaminase (DddA or DddSs, aka SsDddA) and then Tn5. The authors concluded that concurrent enzyme addition yielded the most optimal results.  Lastly, cFOOT-seq6 pairs a deaminase, SsdAtox, with whole-genome sequencing rather than a targeted panel, extending TF footprinting genome-wide. This approach is also compatible with existing ATAC-seq and scATAC-seq pipelines. When combining deamination with tagmentation, the group found distinct advantages depending on whether deamination came before or after Tn5 tagmentation, suggesting the optimal ordering is dependent on the overall experimental goals and the specific research question being asked. Together, these examples show that while there’s not yet consensus on a single best way to pair a deaminase with Tn5 tagmentation, each approach lets researchers extract more precise protein footprinting information from the short-read workflows they already run.

Concluding Remarks

Overall, deaminase-based mapping methods achieve superior footprinting resolution compared to traditional cleavage-based approaches alone. Because deamination marks DNA rather than cutting it, and produces a change that survives PCR amplification, deaminase-coupled workflows can work from lower-input samples than methylation-based methods. Deaminase-based mapping methods can also resolve co-binding of multiple proteins along the same DNA molecule at single-molecule resolution when coupled with long-read sequencing.

Adoption of these exciting new technologies depends upon broad deaminase availability. Until recently, few dsDNA deaminases had been characterized, and none were commercially available, so researchers had to express and purify the enzyme in-house before they could even begin optimizing an assay. That is changing. NEB recently published a broad panel of dsDNA deaminases, including methylation-sensitive variants. EpiCypher has made SsDddA and its inhibitor SsDddI commercially available as purified, activity-confirmed exploratory reagents in the IDEA Toolbox. These resources expand the innovation possible around deaminase-based methods and lower the barrier for labs that want to adopt or build on the assays described above.

As more of these enzymes become available beyond specialized labs, it’s reasonable to expect continued refinement of existing deaminase-based assays as well as new applications, thereby extending deamination-based footprinting to additional biological contexts. The methods are still young, but they already begin to address a question genomics has struggled to answer directly: not only where a variant or a perturbation sits in the genome, but what it does to the surrounding chromatin on the same DNA molecule.

By: Emily A. Madden and Bryan J. Venter

References

  1. Vaisvila R, Johnson SR, Yan B, et al. Discovery of cytosine deaminases enables base-resolution methylome mapping using a single enzyme. Mol Cell. 2024;84(5):854-866.e7. doi:10.1016/j.molcel.2024.01.027. PMID: 38402612
  2. Swanson EG, Mao Y, Mallory BJ, et al. Mapping single-cell diploid chromatin fiber architectures using DAF-seq. Nat Biotechnol. Published online December 3, 2025. doi:10.1038/s41587-025-02914-3. PMID: 41339527
  3. Roh H, Shen SP, Hu Y, et al. Coupling CRISPR scanning with targeted chromatin accessibility profiling using a double-stranded DNA deaminase. Nat Methods. 2025;22(10):2083-2093. doi:10.1038/s41592-025-02811-2. PMID: 40935921
  4. He R, Dong W, Wang Z, et al. Genome-wide single-cell and single-molecule footprinting of transcription factors with deaminase. Proc Natl Acad Sci U S A. 2024;121(52):e2423270121. doi:10.1073/pnas.2423270121. PMID: 39689177
  5. Yu T, Li Z, Gibbs E, et al. Deaminase-mediated chromatin accessibility profiling with single-allele resolution. bioRxiv [Preprint]. Posted December 20, 2024. doi:10.1101/2024.12.17.628768. PMID: 39763859
  6. Wang H, Wu A, Yang MC, et al. Genome-wide investigation of transcription factor footprints and dynamics using cFOOT-seq. Protein Cell. 2025;16(11):932-952. doi:10.1093/procel/pwaf071. PMID: 40795153
  7. Chi WY, Yoon SH, Goksel E, et al. Single-cell mapping of regulatory DNA-protein interactions. Cell. 2026;189(12):3801-3816.e11. doi:10.1016/j.cell.2026.05.014. PMID: 42242226
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