Evidence map›Paper›PMID 30990801›Full record

ArticlePLoS computational biology2019

Neural control of body-plan axis in regenerating planaria.

Alexis Pietak, Johanna Bischof, Joshua LaPalme, Junji Morokuma, Michael Levin

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2019. 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
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. The salamander blastema within the broader context of metazoan regeneration.Frontiers in cell and developmental biology · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Animal regeneration in the era of transcriptomics.Cellular and molecular life sciences : CMLS · 2021
    Review
  12. Bistability of somatic pattern memories: stochastic outcomes in bioelectric circuits underlying regeneration.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  13. Dynamic Modeling of Transcriptional Gene Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  14. Article
  15. Article
  16. Interplay between morphogen-directed positional information systems and physiological signaling.Developmental dynamics : an official publication of the American Association of Anatomists · 2020
    Review
  17. Article
  18. Article
  19. 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 at 1 institution in 1 country.

Alexis PietakAllen Discovery Center, Tufts University, Medford, Massachusetts, United States of America.ORCID 0000-0002-0246-0612
Johanna BischofAllen Discovery Center, Tufts University, Medford, Massachusetts, United States of America.ORCID 0000-0002-5668-841X
Joshua LaPalmeAllen Discovery Center, Tufts University, Medford, Massachusetts, United States of America.
Junji MorokumaAllen Discovery Center, Tufts University, Medford, Massachusetts, United States of America.ORCID 0000-0003-1751-0472
Michael LevinAllen Discovery Center, Tufts University, Medford, Massachusetts, United States of America.ORCID 0000-0001-7292-8084
Tufts University · US

Funding

Electrotherapeutic strategies for connective tissue repairR01AR061988 · NIAMS · TUFTS UNIVERSITY MEDFORD · PI HUNG, CLARK T., KAPLAN, DAVID L. · 2011 to 2015
$3.3M
Tissue Regeneration by Biophysical SignalingR01AR055993 · NIAMS · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L., LEVIN, MICHAEL · 2010 to 2018
$3.2M
Acquisition of Leica confocal/multiphoton microscopeS10OD021624 · OD · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2016 to 2016
$600k
NIAMS NIH HHS R01 AR055993NIAMS NIH HHS R01 AR061988NIH HHS S10 OD021624
6 · The paper itself

Abstract

Control of axial polarity during regeneration is a crucial open question. We developed a quantitative model of regenerating planaria, which elucidates self-assembly mechanisms of morphogen gradients required for robust body-plan control. The computational model has been developed to predict the fraction of heteromorphoses expected in a population of regenerating planaria fragments subjected to different treatments, and for fragments originating from different regions along the anterior-posterior and medio-lateral axis. This allows for a direct comparison between computational and experimental regeneration outcomes. Vector transport of morphogens was identified as a fundamental requirement to account for virtually scale-free self-assembly of the morphogen gradients observed in planarian homeostasis and regeneration. The model correctly describes altered body-plans following many known experimental manipulations, and accurately predicts outcomes of novel cutting scenarios, which we tested. We show that the vector transport field coincides with the alignment of nerve axons distributed throughout the planarian tissue, and demonstrate that the head-tail axis is controlled by the net polarity of neurons in a regenerating fragment. This model provides a comprehensive framework for mechanistically understanding fundamental aspects of body-plan regulation, and sheds new light on the role of the nervous system in directing growth and form.

Indexed as

AnimalsBody PatterningComputational BiologyMarkov ChainsMetabolic Networks and PathwaysModels, BiologicalModels, NeurologicalNervous System Physiological PhenomenaPlanariansRegenerationRNA InterferenceSignal Transduction

Identifiers

PMID30990801
PMCPMC6485777
OpenAlexW2939739988

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.