Evidence map›Paper›PMID 34873244›Full record

ArticleScientific reports2021

Decomposition of cell activities revealing the role of the cell cycle in driving biofunctional heterogeneity.

Tian Lan, Meng Yu, Weisheng Chen, Jun Yin, Hsiang-Tsun Chang, Shan Tang, Ye Zhao, Spyros Svoronos, Samuel W K Wong, Yiider Tseng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Tuning porosity of macroporous hydrogels enables rapid rates of stress relaxation and promotes cell expansion and migration.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

10 authors at 3 institutions in 3 countries.

Tian LanInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China.
Meng YuInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China.
Weisheng ChenDepartment of Chemical Engineering, University of Florida, Gainesville, FL, 32611, USA.
Jun YinDepartment of Chemical Engineering, University of Florida, Gainesville, FL, 32611, USA.
Hsiang-Tsun ChangDepartment of Chemical Engineering, University of Florida, Gainesville, FL, 32611, USA.
Shan TangDepartment of Chemical Engineering, University of Florida, Gainesville, FL, 32611, USA.
Ye ZhaoInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China.
Spyros SvoronosDepartment of Chemical Engineering, University of Florida, Gainesville, FL, 32611, USA.
Samuel W K WongDepartment of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Yiider TsengInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China. ytseng@sdutcm.edu.cn.
University of Florida · USShandong University of Traditional Chinese Medicine · CNUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity of cell phenotypes remains a barrier in progressing cell research and a challenge in conquering cancer-related drug resistance. Cell morphology, the most direct property of cell phenotype, evolves along the progression of the cell cycle; meanwhile, cell motility, the dynamic property of cell phenotype, also alters over the cell cycle. However, a quantifiable research understanding the relationship between the cell cycle and cell migration is missing. Herein, we coordinate the migratory behaviours of NIH 3T3 fibroblasts to their corresponding phases of the cell cycle, the G1, the S, and the G2 phases, and explain the relationship through the spatiotemporal arrangements between the Rho GTPases' signals and cyclin-dependent kinase inhibitors, p21

Indexed as

Cell CycleDrug Resistance, NeoplasmAnimalsCell Cycle ProteinsCell MovementComputational BiologyDisease ProgressionFibroblastsFlow CytometryImage Processing, Computer-AssistedMiceMicroscopy, FluorescenceMicrotubule-Associated ProteinsNIH 3T3 CellsPhenotypePrognosisCell Cycle ProteinsMicrotubule-Associated Proteins

Identifiers

PMID34873244
PMCPMC8648726
OpenAlexW4200284630

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.