Evidence map›Paper›PMID 42242226›Full record

ArticleCell2026

Single-cell mapping of regulatory DNA-protein interactions.

Wei-Yu Chi, Sang-Ho Yoon, Evrim Goksel, Levan Mekerishvili, Joe Pelt, Yiyun Lin, Tamara Prieto, John Zinno, Saravanan Ganesan, Catherine Potenski and 3 more

Abstract read
In one paragraph

Article in Cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Wei-Yu ChiSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medicine, New York, NY, USA.
Sang-Ho YoonSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Evrim GokselSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Levan MekerishviliSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA; Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medicine, New York, NY, USA.
Joe PeltSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Yiyun LinSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Tamara PrietoSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
John ZinnoSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Saravanan GanesanSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Catherine PotenskiSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA.
Franco IzzoSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Dan A LandauSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA. Electronic address: dlandau@nygenome.org.
Ivan RaimondiSandra and Edward Meyer Cancer Center, Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA; New York Genome Center, New York, NY, USA. Electronic address: iraimondi@nygenome.org.

Funding

Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Weill Cornell/Rockefeller/Sloan Kettering MST ProgramT32GM152349 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KATHARINE C HSU · 2024 to 2026
$6.6M
Charting the differentiation topology of SF3B1 mutated clonal hematopoiesis (CH) and myelodysplastic syndromes (MDS) via a multi-omics single-cell toolkitR01HL157387 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LANDAU, DAN · 2022 to 2025
$2.7M
Expanding the GoT toolkit to link single-cell clonal genotypes with protein, transcriptomic, epigenomic and spatial phenotypesR33CA267219 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LANDAU, DAN · 2022 to 2024
$1.2M
Single-Cell Multi-omics to Link Clonal Mosaicism (CM) Genotypes with Chromatin, Epigenomic, Transcriptomic and Protein PhenotypesUG3NS132139 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LANDAU, DAN, SATIJA, RAHUL · 2023 to 2024
$834k
High-parametric flow cytometry cell sorter for human immunology studies.S10OD032397 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI ANANDASABAPATHY, NIROSHANA · 2023 to 2023
$817k
Precision single-cell mapping of chromatin-associated protein activity by molecular footprinting to chart disruptions to gene regulation and dissect tumor heterogeneity in cancerR33CA302607 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Dan Landau · 2025 to 2026
$803k
Expanding single-cell and spatial technologies to link clonal genotypeswith phenotypes during cancer evolutionR50CA293892 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Ivan Raimondi · 2025 to 2026
$408k
NCI NIH HHS R33 CA267219NCI NIH HHS R33 CA302607NCI NIH HHS R50 CA293892NHGRI NIH HHS RM1 HG011014NHLBI NIH HHS R01 HL157387NIGMS NIH HHS T32 GM152349NIH HHS S10 OD032397NINDS NIH HHS UG3 NS132139
6 · The paper itself

Abstract

Gene expression is controlled by transcription factors (TFs), whose genome binding is shaped by chromatin accessibility and histone modifications, yet mapping these interactions, particularly those with weak affinity or a transient nature, in single cells remains technically challenging. To address this gap, we developed docking and deamination followed by sequencing (D&D-seq), a single-cell immuno-tethering technology for profiling DNA-protein interactions. D&D-seq couples an antibody-binding nanobody to a cytosine base editor, a combination that enables detection of weak or transient factor binding through targeted cytosine-to-uracil editing at protein-bound genomic sites. This approach is compatible with standard single-cell multi-omic workflows and therefore allows integrated analyses of gene regulation. Using assay for transposase-accessible chromatin using sequencing (ATAC-seq) and single-cell ATAC-seq (scATAC-seq), we assessed chromatin accessibility as a functional readout of TF activity, and by coupling D&D-seq with whole-genome sequencing, we captured CTCF binding in both active and inactive chromatin compartments.

Indexed as

DNADNA-Binding ProteinsSingle-Cell AnalysisTranscription FactorsAnimalsCCCTC-Binding FactorChromatinHumansMiceCCCTC-Binding FactorChromatinDNADNA-Binding ProteinsTranscription Factorsclonal hematopoiesisepigenomicsgene regulationsingle-celltranscription factors

Identifiers

PMID42242226
PMCPMC13366695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.