Engineered Tn5 Variants Enhance CUT&Tag Fidelity for Transcription Factors

The CUT&Tag method performs exceptionally well for profiling histone modifications, but mapping sequence-specific transcription factors (TFs) is complicated by intrinsic Tn5 activity at accessible DNA, and the high-salt washes used to suppress this activity can destabilize TF-chromatin interactions. We engineered the Tn5 DNA-binding channel to attenuate target-DNA engagement by replacing individual positively charged amino acids with neutral amino acids. We identified a "Goldilocks" variant (K160A) with intermediate attenuation that improved recovery of GATA2 motif-containing sites under low-salt CUT&Tag and KCl-based DynaTag conditions. A second variant (K249A) had improved performance for profiling CTCF over less accessible sites characterized by sharply focused short-fragment enrichment. By comparing the K160A and K249A variants, this TF-CUT&Tag assay provides a physical readout of the local chromatin environment at TF binding sites. Applying K160A TF-CUT&Tag to pluripotency-associated TFs in mouse embryonic stem cells increased recovery across their genomic binding landscapes while preserving factor-specific motif architectures. During skeletal muscle differentiation, TF-CUT&Tag improved recovery of MyoG and Pax7 occupancy relative to standard CUT&Tag, revealing strongly motif-enriched MyoG binding and a shift in Pax7 binding from CpG-rich promoters in progenitors toward Pax7 motif-enriched sites during differentiation. Together, these results show that TF-CUT&Tag captures distinct modes of TF-chromatin interaction, including motif-directed binding sites and more salt-sensitive sites that may depend on lower-affinity DNA recognition or protein-protein interactions and are difficult to predict from DNA sequence alone.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-28
DOI
https://doi.org/10.64898/2026.10.27.762201
Primary Topic
Genomics and Chromatin Dynamics
Type
preprint

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preprint

Engineered Tn5 Variants Enhance CUT&Tag Fidelity for Transcription Factors

Derek H. Janssens, Sara M. Nowinski, Olivia A. Pentecost, Harry J Ashbaugh et al.
bioRxiv (Cold Spring Harbor Laboratory)
Genomics and Chromatin Dynamics
preprint

Engineered Tn5 Variants Enhance CUT&Tag Fidelity for Transcription Factors

Derek H. Janssens, Sara M. Nowinski, Olivia A. Pentecost, Harry J Ashbaugh, Emma Baird, Lola Piper
preprint en

Abstract

The CUT&Tag method performs exceptionally well for profiling histone modifications, but mapping sequence-specific transcription factors (TFs) is complicated by intrinsic Tn5 activity at accessible DNA, and the high-salt washes used to suppress this activity can destabilize TF-chromatin interactions. We engineered the Tn5 DNA-binding channel to attenuate target-DNA engagement by replacing individual positively charged amino acids with neutral amino acids. We identified a "Goldilocks" variant (K160A) with intermediate attenuation that improved recovery of GATA2 motif-containing sites under low-salt CUT&Tag and KCl-based DynaTag conditions. A second variant (K249A) had improved performance for profiling CTCF over less accessible sites characterized by sharply focused short-fragment enrichment. By comparing the K160A and K249A variants, this TF-CUT&Tag assay provides a physical readout of the local chromatin environment at TF binding sites. Applying K160A TF-CUT&Tag to pluripotency-associated TFs in mouse embryonic stem cells increased recovery across their genomic binding landscapes while preserving factor-specific motif architectures. During skeletal muscle differentiation, TF-CUT&Tag improved recovery of MyoG and Pax7 occupancy relative to standard CUT&Tag, revealing strongly motif-enriched MyoG binding and a shift in Pax7 binding from CpG-rich promoters in progenitors toward Pax7 motif-enriched sites during differentiation. Together, these results show that TF-CUT&Tag captures distinct modes of TF-chromatin interaction, including motif-directed binding sites and more salt-sensitive sites that may depend on lower-affinity DNA recognition or protein-protein interactions and are difficult to predict from DNA sequence alone.

bioRxiv (Cold Spring Harbor Laboratory)
Van Andel Institute (US)
National Institutes of Health, National Cancer Institute, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Genomics and Chromatin Dynamics
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