Evidence map›Paper›PMID 35107036›Full record

ArticleCell cycle (Georgetown, Tex.)2022

A mathematical model for cell cycle control: graded response or quantized response.

Guoyu Wu, Huiyu Xiu, Haiying Luo, Yu Ding, Yuchao Li

Abstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2022. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Guoyu WuSchool of Clinical Pharmacy, Guangdong Pharmaceutical University, Guangdong, China.
Huiyu XiuSchool of Clinical Pharmacy, Guangdong Pharmaceutical University, Guangdong, China.
Haiying LuoSchool of Clinical Pharmacy, Guangdong Pharmaceutical University, Guangdong, China.
Yu DingSchool of Clinical Pharmacy, Guangdong Pharmaceutical University, Guangdong, China.
Yuchao LiMegaLab, MegaRobo Technologies Co., Ltd, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell cycle is an important and complex biological system. A lot of efforts have been put in understanding cell cycle arrest for its vital role in clinical therapies. The cell-cycle-arrest outcomes upon stimulation are complicated. The response could be stringent or relaxed, and graded or quantized. A model fully addressing various cell-cycle-arrest outcomes is to be developed. Here, we developed a mathematical model of cell cycle control incorporating distinct characteristics of various cell-cycle-arrest outcomes. The model can simulate two typical properties of cell cycle arrest, quantized and graded. We also characterized the inheritable quiescence and refractory state, which were crucial in long-term response of the population. Then, we monitored cells respond to multiple stimulations, and the results indicated that cells responded to stimulations with small interval did not induce significantly sustained cell cycle arrest as the existence of refractory state. Our work will benefit fundamental research and make efforts to predicting outcomes of clinical therapeutics.

Indexed as

Models, TheoreticalCell CycleCell Cycle CheckpointsCell DivisionCell cycle arrestInheritable quiescenceMathematical modelMultiple stimulationsRefractory state

Identifiers

PMID35107036
PMCPMC8973363

What OpenQuestion holds

Textmetadata
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.