Evidence map›Paper›PMID 26976577›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Optogenetic skeletal muscle-powered adaptive biological machines.

Ritu Raman, Caroline Cvetkovic, Sebastien G M Uzel, Randall J Platt, Parijat Sengupta, Roger D Kamm, Rashid Bashir

Abstract readEvaluation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Biohybrid Tendons Enhance the Power-to-Weight Ratio and Modularity of Muscle-Powered Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Morphological, Behavioral, and Transcriptomic Life Cycle of Anthrobots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

57 more citing papers are in PubMed but not listed here.

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.

Ritu RamanDepartment of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801; Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801;
Caroline CvetkovicMicro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801;
Sebastien G M UzelDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139;
Randall J PlattDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139;
Parijat SenguptaDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Roger D KammDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139;
Rashid BashirMicro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801; rbashir@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex biological systems sense, process, and respond to their surroundings in real time. The ability of such systems to adapt their behavioral response to suit a range of dynamic environmental signals motivates the use of biological materials for other engineering applications. As a step toward forward engineering biological machines (bio-bots) capable of nonnatural functional behaviors, we created a modular light-controlled skeletal muscle-powered bioactuator that can generate up to 300 µN (0.56 kPa) of active tension force in response to a noninvasive optical stimulus. When coupled to a 3D printed flexible bio-bot skeleton, these actuators drive directional locomotion (310 µm/s or 1.3 body lengths/min) and 2D rotational steering (2°/s) in a precisely targeted and controllable manner. The muscle actuators dynamically adapt to their surroundings by adjusting performance in response to "exercise" training stimuli. This demonstration sets the stage for developing multicellular bio-integrated machines and systems for a range of applications.

Indexed as

AnimalsCell LineEquipment DesignFinite Element AnalysisLocomotionMiceMuscle ContractionMuscle, SkeletalOptogeneticsPrinting, Three-DimensionalRoboticsTime-Lapse ImagingTissue Engineeringbioactuatorsoft roboticsstereolithographytissue engineering

Identifiers

PMID26976577
PMCPMC4822586

What OpenQuestion holds

Textmetadata
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.