Evidence map›Paper›PMID 40117582›Full record

ArticleNano letters2025

Barcoding Microtubules: Encoding Information onto Macromolecules by Photobleaching.

R Catalano, Y Zhao, M Pecak, T Korten, S Diez

Abstract read
In one paragraph

Article in Nano letters, 2025. 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. 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

5 authors.

R CatalanoB CUBE - Center for Molecular Bioengineering, TUD Dresden University of Technology, 01307 Dresden, Germany.
Y ZhaoB CUBE - Center for Molecular Bioengineering, TUD Dresden University of Technology, 01307 Dresden, Germany.
M PecakB CUBE - Center for Molecular Bioengineering, TUD Dresden University of Technology, 01307 Dresden, Germany.
T KortenHelmholtz AI Team Matter, FWCC, Helmholtz Zentrum Dresden Rossendorf (HZDR), 01328 Dresden, Germany.ORCID 0000-0002-2315-9247
S DiezB CUBE - Center for Molecular Bioengineering, TUD Dresden University of Technology, 01307 Dresden, Germany.ORCID 0000-0002-0750-8515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kinesin-1-powered microtubules have emerged as versatile components in biocomputing and biosensing technologies. However, the inability to identify and track individual microtubules has constrained their applications to ensemble behaviors, limiting their potential for single-entity-based nanotechnologies. To address this challenge, we present a novel method for encoding digital information directly onto individual microtubules using photobleaching patterns. Binary numbers (1 to 15) were encoded within ∼12 μm segments of moving microtubules by photobleaching with a stationary pulsed laser, creating spatial frequency patterns corresponding to distinct bits of information. Fourier analysis enabled the accurate retrieval of the encoded data, demonstrating the feasibility of direct information storage and retrieval on macromolecular structures. This approach offers a transformative solution for recording microtubule trajectories within nanotechnological devices by encoding path information directly onto microtubules at branch points, obviating the need for video-based tracking. We anticipate that this innovation will advance the development of individualized microtubule-based technologies.

Indexed as

KinesinsMicrotubulesNanotechnologyPhotobleachingFourier AnalysisMacromolecular SubstancesKinesinsMacromolecular Substancesbarcodingbiocomputationbionanotechnologylab on a chipmolecular motorsphotobleaching

Identifiers

PMID40117582
PMCPMC11969655

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.