Evidence map›Paper›PMID 40885742›Full record

ArticleNature communications2025

A streamlined base editor engineering strategy to reduce bystander editing.

Izabella Valdez, Ian O'Connor, Divesh Patel, Katherine Gierer, Jan Harrington, Ethan Ellis, Stephen A Caponetti, Robert P Sebra, Hillary C Valley, Kevin Coote and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Engineered Transformer Base Editor with Enhanced Editing Efficiency.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Advances and Applications of Plant Base Editing Technologies.International journal of molecular sciences · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Izabella ValdezDepartment of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ian O'ConnorDepartment of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Divesh PatelCystic Fibrosis Foundation, CFFT Lab, Lexington, MA, USA.ORCID http://orcid.org/0009-0006-0564-2231
Katherine GiererCystic Fibrosis Foundation, CFFT Lab, Lexington, MA, USA.
Jan HarringtonCystic Fibrosis Foundation, CFFT Lab, Lexington, MA, USA.
Ethan EllisDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stephen A CaponettiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0009-0005-0727-9862
Robert P SebraDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-9267-2426
Hillary C ValleyCystic Fibrosis Foundation, CFFT Lab, Lexington, MA, USA.
Kevin CooteCystic Fibrosis Foundation, CFFT Lab, Lexington, MA, USA.
Martin MenseCystic Fibrosis Foundation, CFFT Lab, Lexington, MA, USA.ORCID http://orcid.org/0000-0003-0280-9789
Samuele G MarroIcahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Tingting JiangDepartment of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Tingting.Jiang@mssm.edu.ORCID http://orcid.org/0000-0003-0753-2731

Funding

Using base editing to investigate CFTR polymorphisms in lung diseasesR00HL153940 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JIANG, TINGTING · 2023 to 2025
$747k
Cystic Fibrosis Foundation (CF Foundation) 005363I223NHLBI NIH HHS R00 HL153940U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R00HL153940
6 · The paper itself

Abstract

Base editing (BE) can permanently correct over half of known human pathogenic genetic variants without requiring a repair template, thus serving as a promising therapeutic tool to treat a broad spectrum of genetic diseases. However, the broad activity windows of current base editors pose a major challenge to their therapeutic application. Here, we show that integrating a naturally occurring oligonucleotide binding module into the deaminase active center of TadA-8e, a highly active deoxyadenosine deaminase, enhances its editing specificity. When conjugated with a Cas9 nickase or alternative PAM Cas9 variants, the engineered TadA variant-TadA-NW1-consistently achieves robust A-to-G editing efficiencies within an editing window consisting of four nucleotides, substantially narrower than the 10-bp editing window of the TadA-8e-derived ABEs. Moreover, compared to ABE8e, ABE-NW1 shows significantly decreased Cas9-dependent and -independent off-target activity while maintaining similar on-target editing efficiency. Further, TadA-NW1 can be reprogrammed to perform desired cytidine deamination and adenine transversion within a restricted editing window. Finally, in a cystic fibrosis (CF) cell model, ABE-NW1 outperforms existing ABEs in accurately and efficiently correcting the CFTR W1282X variant, one of the most common CF-causing mutations. In all, we engineered a suite of base editors with refined activity windows, enabling more precise base editing. Importantly, this study presents a streamlined genome editor re-engineering strategy to accelerate the development of therapeutic base editing.

Indexed as

Gene EditingAdenosine DeaminaseCRISPR-Associated Protein 9CRISPR-Cas SystemsCystic Fibrosis Transmembrane Conductance RegulatorHEK293 CellsHumansAdenosine DeaminaseCFTR protein, humanCRISPR-Associated Protein 9Cystic Fibrosis Transmembrane Conductance Regulator

Identifiers

PMID40885742
PMCPMC12398605

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.