Evidence map›Paper›PMID 26889161›Full record

ReviewNeural regeneration research2015

Target morphology and cell memory: a model of regenerative pattern formation.

Nikolai Bessonov, Michael Levin, Nadya Morozova, Natalia Reinberg, Alen Tosenberger, Vitaly Volpert

Open access · goldAbstract readReview
In one paragraph

Review in Neural regeneration research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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
  3. Role of Bioelectricity During Cell Proliferation in Different Cell Types.Frontiers in bioengineering and biotechnology · 2020
    Article
  4. Article
  5. Review
  6. 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

6 authors at 5 institutions in 4 countries.

Nikolai BessonovInstitute of Problems of Mechanical Engineering, Russian Academy of Sciences, 199178 Saint Petersburg, Russia.
Michael LevinDepartment of Biology, Tufts Center for Regenerative & Developmental Biology, Tufts University, Medford, MA, USA.ORCID 0000-0001-7292-8084
Nadya MorozovaLaboratoire Epigénétique et Cancer, CNRS FRE 3377, CEA Saclay, France; Institut des Hautes Etudes Scientiques, 91440 Bures-sur-Yvette, France.
Natalia ReinbergInstitute of Problems of Mechanical Engineering, Russian Academy of Sciences, 199178 Saint Petersburg, Russia.
Alen TosenbergerInstitut des Hautes Etudes Scientiques, 91440 Bures-sur-Yvette, France; Unité de Chronobiologie Théorique, Faculté des Sciences, Université Libre de Bruxelles, Campus Plaine, CP 231, Brussels B-1050, Belgium.
Vitaly VolpertInstitut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622 Villeurbanne, France.
Institute of Problems of Mechanical Engineering · RUCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInstitut Camille Jordan · FRInstitut des Hautes Études Scientifiques · FRTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the growing body of work on molecular components required for regenerative repair, we still lack a deep understanding of the ability of some animal species to regenerate their appropriate complex anatomical structure following damage. A key question is how regenerating systems know when to stop growth and remodeling - what mechanisms implement recognition of correct morphology that signals a stop condition? In this work, we review two conceptual models of pattern regeneration that implement a kind of pattern memory. In the first one, all cells communicate with each other and keep the value of the total signal received from the other cells. If a part of the pattern is amputated, the signal distribution changes. The difference fromthe original signal distribution stimulates cell proliferation and leads to pattern regeneration, in effect implementing an error minimization process that uses signaling memory to achieve pattern correction. In the second model, we consider a more complex pattern organization with different cell types. Each tissue contains a central (coordinator) cell that controls the tissue and communicates with the other central cells. Each of them keeps memory about the signals received from other central cells. The values of these signals depend on the mutual cell location, and the memory allows regeneration of the structure when it is modified. The purpose of these models is to suggest possible mechanisms of pattern regeneration operating on the basis of cell memory which are compatible with diverse molecular implementation mechanisms within specific organisms.

Indexed as

agent-based modelcell memorycell signalingmathematical modelingmorphogenesispattern regenerationtarget morphology

Identifiers

PMID26889161
PMCPMC4730797
OpenAlexW2225136327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.