Evidence map›Paper›PMID 41883584›Full record

ArticleMolecular therapy. Nucleic acids2026

DisTAL-Seq: A TALEN-specific adaptation of DISCOVER-Seq for off-target profiling.

Lena Kobel, Lilly Van de Venn, Markus Schröder, Luca Valentin Bechter, David Huang, Yassan Abdolazimi, Thomas Pertel, Suhasni Gopalakrishnan, Jacob Ellery Corn, Zacharias Kontarakis

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lena KobelDepartment of Biology, ETH Zurich, Zurich, Switzerland.
Lilly Van de VennDepartment of Biology, ETH Zurich, Zurich, Switzerland.
Markus SchröderDepartment of Biology, ETH Zurich, Zurich, Switzerland.
Luca Valentin BechterDepartment of Biology, ETH Zurich, Zurich, Switzerland.
David HuangAllogene Therapeutics, South San Francisco, CA 94080, USA.
Yassan AbdolazimiAllogene Therapeutics, South San Francisco, CA 94080, USA.
Thomas PertelAllogene Therapeutics, South San Francisco, CA 94080, USA.
Suhasni GopalakrishnanAllogene Therapeutics, South San Francisco, CA 94080, USA.
Jacob Ellery CornDepartment of Biology, ETH Zurich, Zurich, Switzerland.
Zacharias KontarakisDepartment of Biology, ETH Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmable guided nucleases have revolutionized genome editing and biomedical research, with transformative potential for gene and cell therapy. Although the widespread adoption of the CRISPR-Cas system has provided deep insights into target recognition and specificity, the behavior of clinically relevant tools like transcription activator-like effector nucleases (TALENs) remains poorly characterized in human cells. To address this gap, we implemented DisTAL-Seq, a TALEN-specific adaptation of the DISCOVER-Seq pipeline, which detects MRE11 recruitment to double-strand breaks (DSBs). Based on the DISCOVER-Seq principle, DisTAL-Seq incorporates alignment logic tailored to TALEN-binding properties, including variable RVD specificity, cleavage offset, and dimerization behavior. Using DisTAL-Seq, we identified and validated on- and off-target sites across diverse TALENs and T cell donors. This unbiased approach revealed key features of TALEN activity in human cells, including number of tolerated mismatches to a target site and relative location of the induced DSB. DisTAL-Seq thus extends DISCOVER-Seq to the TALEN family and provides a robust platform for assessing modifications in enzyme architecture and application contexts on a genome-wide scale, supporting the development of safer and more effective genome editing tools.

Indexed as

genome editingMT: RNA/DNA Editingoff-target effectsTALEN

Identifiers

PMID41883584
PMCPMC13010107

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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.