Evidence map›Paper›PMID 34654185›Full record

ArticlePhysical review. E2021

Regulatory feedback effects on tissue growth dynamics in a two-stage cell lineage model.

Mao-Xiang Wang, Arthur Lander, Pik-Yin Lai

Open access · greenAbstract read
In one paragraph

Article in Physical review. E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 3 countries.

Mao-Xiang WangSchool of Science, Nanjing University of Science and Technology, Nanjing 210094, China.
Arthur LanderDepartment of Developmental and Cell Biology, University of California, Irvine, Irvine, California 92697, USA.
Pik-Yin LaiDepartment of Physics and Center for Complex Systems, National Central University, Chungli District, Taoyuan City, Taiwan 320, Republic of China.
University of California, Irvine · USNational Central University · TW

Funding

Shared Resource Core: Single Cell AnalysisU54CA217378 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI VAN ETTEN, RICHARD A. · 2018 to 2022
$9.7M
Multiscale Models of Wound Cell Plasticity for RegenerationU01AR073159 · NIAMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAI, XING, NIE, QING · 2018 to 2022
$3.5M
Spatial Dynamics of Tissue and Organ Size ControlR01NS095355 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CALOF, ANNE LEIGHTON, LANDER, ARTHUR D · 2015 to 2019
$2.1M
NCI NIH HHS U54 CA217378NIAMS NIH HHS U01 AR073159NINDS NIH HHS R01 NS095355
6 · The paper itself

Abstract

Identifying the mechanism of intercellular feedback regulation is critical for the basic understanding of tissue growth control in organisms. In this paper, we analyze a tissue growth model consisting of a single lineage of two cell types regulated by negative feedback signaling molecules that undergo spatial diffusion. By deriving the fixed points for the uniform steady states and carrying out linear stability analysis, phase diagrams are obtained analytically for arbitrary parameters of the model. Two different generic growth modes are found: blow-up growth and final-state controlled growth which are governed by the nontrivial fixed point and the trivial fixed point, respectively, and can be sensitively switched by varying the negative feedback regulation on the proliferation of the stem cells. Analytic expressions for the characteristic timescales for these two growth modes are also derived. Remarkably, the trivial and nontrivial uniform steady states can coexist and a sharp transition occurs in the bistable regime as the relevant parameters are varied. Furthermore, the bistable growth properties allows for the external control to switch between these two growth modes. In addition, the condition for an early accelerated growth followed by a retarded growth can be derived. These analytical results are further verified by numerical simulations and provide insights on the growth behavior of the tissue. Our results are also discussed in the light of possible realistic biological experiments and tissue growth control strategy. Furthermore, by external feedback control of the concentration of regulatory molecules, it is possible to achieve a desired growth mode, as demonstrated with an analysis of boosted growth, catch-up growth and the design for the target of a linear growth dynamic.

Indexed as

Feedback, PhysiologicalModels, BiologicalCell LineageFeedbackStem Cells

Identifiers

PMID34654185
PMCPMC8585573
OpenAlexW3198408907

What OpenQuestion holds

Textmetadata
LicenceTDM
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.