Evidence map›Paper›PMID 27694937›Full record

ArticleNature communications2016

Sensing surface mechanical deformation using active probes driven by motor proteins.

Daisuke Inoue, Takahiro Nitta, Arif Md Rashedul Kabir, Kazuki Sada, Jian Ping Gong, Akihiko Konagaya, Akira Kakugo

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Building on-chip cytoskeletal circuits via branched microtubule networks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cortical tension overrides geometrical cues to orient microtubules in confined protoplasts.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Review
  13. Molecular swarm robots: recent progress and future challenges.Science and technology of advanced materials · 2020
    Review
  14. Review
  15. Are microtubules tension sensors?Nature communications · 2019
    Review
  16. Organogenesis at the Shoot Apical Meristem.Plants (Basel, Switzerland) · 2018
    Review
  17. Article
  18. Review
  19. 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

7 authors.

Daisuke InoueFaculty of Science, Hokkaido University, Sapporo 060-0810, Japan.
Takahiro NittaApplied Physics Course, Gifu University, Gifu 501-1193, Japan.
Arif Md Rashedul KabirFaculty of Science, Hokkaido University, Sapporo 060-0810, Japan.
Kazuki SadaFaculty of Science, Hokkaido University, Sapporo 060-0810, Japan.
Jian Ping GongFaculty of Advanced Life Science, Hokkaido University, Sapporo 060-0810, Japan.
Akihiko KonagayaDepartment of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama 226-8501, Japan.
Akira KakugoFaculty of Science, Hokkaido University, Sapporo 060-0810, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying mechanical deformation at the surface of soft materials has been challenging due to the difficulty in separating surface deformation from the bulk elasticity of the materials. Here, we introduce a new approach for studying the surface mechanical deformation of a soft material by utilizing a large number of self-propelled microprobes driven by motor proteins on the surface of the material. Information about the surface mechanical deformation of the soft material is obtained through changes in mobility of the microprobes wandering across the surface of the soft material. The active microprobes respond to mechanical deformation of the surface and readily change their velocity and direction depending on the extent and mode of surface deformation. This highly parallel and reliable method of sensing mechanical deformation at the surface of soft materials is expected to find applications that explore surface mechanics of soft materials and consequently would greatly benefit the surface science.

Indexed as

Adenosine TriphosphateAnimalsBrainCytoskeletonDimethylpolysiloxanesDyneinsElasticityGreen Fluorescent ProteinsHumansKinesinsMaterials TestingMicrotubulesMolecular Motor ProteinsMyosinsReactive Oxygen SpeciesStress, MechanicalAdenosine TriphosphatebaysilonDimethylpolysiloxanesDyneinsGreen Fluorescent ProteinsKIF5B protein, humanKinesinsMolecular Motor ProteinsMyosinsReactive Oxygen Species

Identifiers

PMID27694937
PMCPMC5059436

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.