Evidence map›Paper›PMID 35522694›Full record

ArticlePLoS computational biology2022

Spatial dynamics of feedback and feedforward regulation in cell lineages.

Peter Uhl, John Lowengrub, Natalia Komarova, Dominik Wodarz

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Peter UhlDepartment of Mathematics and Statistics, San Diego State University, San Diego, California, United States of America.
John LowengrubDepartment of Mathematics, University of California, Irvine, California, United States of America.ORCID 0000-0003-1759-0900
Natalia KomarovaDepartment of Mathematics, University of California, Irvine, California, United States of America.
Dominik WodarzDepartment of Population Health and Disease Prevention, Program in Public Health, University of California, Irvine, California, United States of America.ORCID 0000-0002-8017-3707
University of California, Irvine · US

Funding

Shared Resource Core: Single Cell AnalysisU54CA217378 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D, LOWENGRUB, JOHN · 2018 to 2022
$9.7M
NCI NIH HHS U54 CA217378
6 · The paper itself

Abstract

Feedback mechanisms within cell lineages are thought to be important for maintaining tissue homeostasis. Mathematical models that assume well-mixed cell populations, together with experimental data, have suggested that negative feedback from differentiated cells on the stem cell self-renewal probability can maintain a stable equilibrium and hence homeostasis. Cell lineage dynamics, however, are characterized by spatial structure, which can lead to different properties. Here, we investigate these dynamics using spatially explicit computational models, including cell division, differentiation, death, and migration / diffusion processes. According to these models, the negative feedback loop on stem cell self-renewal fails to maintain homeostasis, both under the assumption of strong spatial restrictions and fast migration / diffusion. Although homeostasis cannot be maintained, this feedback can regulate cell density and promote the formation of spatial structures in the model. Tissue homeostasis, however, can be achieved if spatially restricted negative feedback on self-renewal is combined with an experimentally documented spatial feedforward loop, in which stem cells regulate the fate of transit amplifying cells. This indicates that the dynamics of feedback regulation in tissue cell lineages are more complex than previously thought, and that combinations of spatially explicit control mechanisms are likely instrumental.

Indexed as

Models, BiologicalStem CellsCell DifferentiationCell LineageFeedback

Identifiers

PMID35522694
PMCPMC9116666
OpenAlexW4229028563

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.