Evidence map›Paper›PMID 35023326›Full record

ReviewWIREs mechanisms of disease2022

Seven challenges in the multiscale modeling of multicellular tissues.

Alexander G Fletcher, James M Osborne

Abstract readReview
In one paragraph

Review in WIREs mechanisms of disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Virtual cell: Current perspectives and future prospects.The Journal of international medical research · 2026
    Review
  4. Article
  5. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
  6. Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025
    Article
  7. Review
  8. The Mechanics of Building Functional Organs.Cold Spring Harbor perspectives in biology · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Frontiers in bioengineering and biotechnology · 2024
    Review
  13. Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023
    Article
  14. Article
  15. Generative models of morphogenesis in developmental biology.Seminars in cell & developmental biology · 2023
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. What's next for computational systems biology?Frontiers in systems biology · 2023
    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

2 authors.

Alexander G FletcherSchool of Mathematics and Statistics, University of Sheffield, Sheffield, UK.ORCID 0000-0003-0525-4336
James M OsborneSchool of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-5622-0104

Funding

Biotechnology and Biological Sciences Research Council BB/R016925/1
6 · The paper itself

Abstract

The growth and dynamics of multicellular tissues involve tightly regulated and coordinated morphogenetic cell behaviors, such as shape changes, movement, and division, which are governed by subcellular machinery and involve coupling through short- and long-range signals. A key challenge in the fields of developmental biology, tissue engineering and regenerative medicine is to understand how relationships between scales produce emergent tissue-scale behaviors. Recent advances in molecular biology, live-imaging and ex vivo techniques have revolutionized our ability to study these processes experimentally. To fully leverage these techniques and obtain a more comprehensive understanding of the causal relationships underlying tissue dynamics, computational modeling approaches are increasingly spanning multiple spatial and temporal scales, and are coupling cell shape, growth, mechanics, and signaling. Yet such models remain challenging: modeling at each scale requires different areas of technical skills, while integration across scales necessitates the solution to novel mathematical and computational problems. This review aims to summarize recent progress in multiscale modeling of multicellular tissues and to highlight ongoing challenges associated with the construction, implementation, interrogation, and validation of such models. This article is categorized under: Reproductive System Diseases > Computational Models Metabolic Diseases > Computational Models Cancer > Computational Models.

Indexed as

NeoplasmsComputer SimulationHumansMorphogenesisSignal TransductionTissue Engineeringcell-based modelingdevelopmental biologymulticellular systems biologymultiscale modelingscientific computing

Identifiers

PMID35023326
PMCPMC11478939

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.