Evidence map›Paper›PMID 41851100›Full record

ArticleNature communications2026

Enhancing the performance of Magnets photosensors.

Armin Baumschlager, Yanik Weber, David Cánovas, Sara Dionisi, Mustafa Khammash

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. Review
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

5 authors.

Armin Baumschlager *Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Basel, Switzerland. armin.baumschlager@me.com.ORCID http://orcid.org/0000-0002-2546-9038
Yanik Weber *Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Basel, Switzerland.ORCID http://orcid.org/0000-0002-0914-8541
David Cánovas *Department of Genetics, Faculty of Biology, University of Seville, Seville, Spain.ORCID http://orcid.org/0000-0002-7293-7332
Sara DionisiDepartment of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Basel, Switzerland.
Mustafa KhammashDepartment of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Basel, Switzerland. mustafa.khammash@bsse.ethz.ch.ORCID http://orcid.org/0000-0002-4855-9220

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 801041European Molecular Biology Organization (EMBO) 8903
6 · The paper itself

Abstract

Photosensory protein domains, derived from nature, are foundational for optogenetic protein engineering. Tailoring their properties enables their full exploitation for optogenetic regulation in basic research and applied bioengineering applications. Here, we present a simple, yet powerful strategy based on random mutagenesis coupled to high-throughput screening that allowed altering the most fundamental properties of the widely used nMag/pMag photodimerization system: its light sensitivity and activation. Variants were characterized in vivo in bacteria by flow cytometry and during the entire growth curve by spectrofluorometry. We identify mutations that either increase or decrease the light sensitivity at sub-saturating light intensities, while also improving the light activation and dark-to-light fold change. Notably, light sensitivity and activation levels could be changed independently. In addition, we demonstrated that the shapes of the dose-response curves can be finely tuned. This broadens the applicability of the Magnets photosensors for optogenetic regulation strategies.

Indexed as

Biosensing TechniquesOptogeneticsEscherichia coliLightMutagenesisMutationProtein Engineering

Identifiers

PMID41851100
PMCPMC13149671

What OpenQuestion holds

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LicenceCC BY
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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.