Evidence map›Paper›PMID 42156388›Full record

ArticleNature communications2026

Redesign of TALE proteins for DNA-templated assembly of protein fibers.

Robbert J de Haas, Mark D Langowski, Andrew J Borst, Visakh V S Pillai, Gwendolyn E Hoffmann, Martin Bongers, Matthias Mulder, Suna Cheng, Catherine Treichel, Elizabeth M Leaf and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

17 authors.

Robbert J de HaasDepartment of Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-7587-9967
Mark D LangowskiDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Andrew J BorstDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-4297-7824
Visakh V S PillaiDepartment of Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0003-1870-4391
Gwendolyn E HoffmannDepartment of Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, The Netherlands.
Martin BongersDepartment of Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, The Netherlands.ORCID http://orcid.org/0009-0005-6953-6537
Matthias MulderDepartment of Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, The Netherlands.
Suna ChengDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Catherine TreichelDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Elizabeth M LeafDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Mengyu WuDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Eric M LynchDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-5897-5167
Justin M KollmanDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0350-5827
Francesco S RuggeriDepartment of Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-1232-1907
Carl WalkeyDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Renko de VriesDepartment of Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, The Netherlands. renko.devries@wur.nl.
Neil P KingDepartment of Biochemistry, University of Washington, Seattle, WA, USA. neilking@uw.edu.ORCID http://orcid.org/0000-0002-2978-4692

Funding

Structure and function of metabolic enzyme assembliesR35GM149542 · NIGMS · UNIVERSITY OF WASHINGTON · PI Justin M Kollman · 2023 to 2026
$2.2M
Bill & Melinda Gates Foundation INV-010680Gates Foundation INV-010680NIGMS NIH HHS R35 GM149542
6 · The paper itself

Abstract

Many viral proteins self-assemble into capsid structures, often using their genetic material as a template for assembly. To date, de novo designed capsid-like proteins do not require genetic material as a template for assembly, which can be both an advantage and a disadvantage depending on the use case. Templates are indispensable, for example, in the assembly of linear structures with well-defined lengths. As a first step towards fully de novo designed templated assembly, here we redesign proteins from the Transcription activator-like effector (TALE) family of transcriptional regulators to polymerize on double-stranded DNA (dsDNA) templates. Starting from natural TALE protein sequences, we create idealized repeat proteins with sequence-independent DNA binding properties that self-assemble to form linear protein-DNA complexes with template-controlled lengths. We use high-resolution atomic force microscopy (AFM) and cryo electron microscopy (cryo-EM) to characterize the three-dimensional structures of the DNA-protein hybrid complexes. In these structures, a protein filament helically wraps around the dsDNA similar to natural TALE proteins. As an example application of these materials, we show the system can be used for repetitive peptide antigen display at precisely controlled repeat distances, and that such immunogens elicit robust antigen-specific antibodies in mice.

Indexed as

DNAProtein EngineeringTranscription Activator-Like EffectorsAnimalsCryoelectron MicroscopyDNA-Binding ProteinsMicroscopy, Atomic ForceModels, MolecularDNADNA-Binding ProteinsTranscription Activator-Like Effectors

Identifiers

PMID42156388
PMCPMC13381548

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.