Evidence map›Paper›PMID 31072931›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Self-assembly of biological networks via adaptive patterning revealed by avian intradermal muscle network formation.

Xiao-Shan Wu, Chao-Yuan Yeh, Hans I-Chen Harn, Ting-Xing Jiang, Ping Wu, Randall B Widelitz, Ruth E Baker, Cheng-Ming Chuong

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Using Avian Skin Explants to Study Tissue Patterning and Organogenesis.Journal of visualized experiments : JoVE · 2023
    Article
  9. Bioinspired Strategies for Wound Regeneration.Cold Spring Harbor perspectives in biology · 2023
    Review
  10. Article
  11. 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

8 authors at 2 institutions in 4 countries.

Xiao-Shan WuDepartment of Pathology, University of Southern California, Los Angeles, CA 90033.ORCID 0000-0002-7003-0884
Chao-Yuan YehDepartment of Pathology, University of Southern California, Los Angeles, CA 90033.ORCID 0000-0002-1947-1596
Hans I-Chen HarnDepartment of Pathology, University of Southern California, Los Angeles, CA 90033.ORCID 0000-0001-8222-5614
Ting-Xing JiangDepartment of Pathology, University of Southern California, Los Angeles, CA 90033.ORCID 0000-0003-1972-8985
Ping WuDepartment of Pathology, University of Southern California, Los Angeles, CA 90033.ORCID 0000-0003-0035-8494
Randall B WidelitzDepartment of Pathology, University of Southern California, Los Angeles, CA 90033.ORCID 0000-0002-6603-4823
Ruth E BakerMathematical Institute, University of Oxford, OX2 6GG Oxford, United Kingdom.ORCID 0000-0002-6304-9333
Cheng-Ming ChuongDepartment of Pathology, University of Southern California, Los Angeles, CA 90033; cmchuong@usc.edu.ORCID 0000-0001-9673-3994
University of Southern California · USUniversity of Oxford · GB

Funding

Size regulation of skin appendagesR01AR047364 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Cheng-Ming Chuong · 2002 to 2026
$10.1M
Tissue Engineering of New Hair FormationR01AR060306 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHUONG, CHENG-MING · 2010 to 2019
$4.6M
Tissue Patterning in living skin and organ explantsR37AR060306 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Cheng-Ming Chuong · 2020 to 2026
$3.6M
Tissue mechanics in regenerative wound healing of the skinR01GM125322 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHUONG, CHENG-MING · 2018 to 2021
$1.3M
NIAMS NIH HHS R01 AR047364NIAMS NIH HHS R01 AR060306NIAMS NIH HHS R37 AR060306NIGMS NIH HHS R01 GM125322
6 · The paper itself

Abstract

Networked structures integrate numerous elements into one functional unit, while providing a balance between efficiency, robustness, and flexibility. Understanding how biological networks self-assemble will provide insights into how these features arise. Here, we demonstrate how nature forms exquisite muscle networks that can repair, regenerate, and adapt to external perturbations using the feather muscle network in chicken embryos as a paradigm. The self-assembled muscle networks arise through the implementation of a few simple rules. Muscle fibers extend outward from feather buds in every direction, but only those muscle fibers able to connect to neighboring buds are eventually stabilized. After forming such a nearest-neighbor configuration, the network can be reconfigured, adapting to perturbed bud arrangement or mechanical cues. Our computational model provides a bioinspired algorithm for network self-assembly, with intrinsic or extrinsic cues necessary and sufficient to guide the formation of these regenerative networks. These robust principles may serve as a useful guide for assembling adaptive networks in other contexts.

Indexed as

Models, BiologicalAlgorithmsAnimalsBirdsBody PatterningFeathersMuscle DevelopmentRegenerationSkinfeathermorphogenesisnetwork assemblyregenerationskin appendage

Identifiers

PMID31072931
PMCPMC6561168
OpenAlexW2944229703

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.