Evidence map›Paper›PMID 36054629›Full record

ArticleFEBS open bio2022

ATP levels influence cell movement during the mound phase in Dictyostelium discoideum as revealed by ATP visualization and simulation.

Haruka Hiraoka, Jiewen Wang, Tadashi Nakano, Yasuhiro Hirano, Shinichi Yamazaki, Yasushi Hiraoka, Tokuko Haraguchi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in FEBS open bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 2 countries.

Haruka HiraokaGraduate School of Frontier Biosciences, Osaka University, Japan.ORCID 0000-0002-8022-6186
Jiewen WangGraduate School of Informatics, Osaka Metropolitan University, Japan.
Tadashi NakanoGraduate School of Informatics, Osaka Metropolitan University, Japan.ORCID 0000-0003-3354-8964
Yasuhiro HiranoGraduate School of Frontier Biosciences, Osaka University, Japan.ORCID 0000-0001-7339-4053
Shinichi YamazakiGraduate School of Frontier Biosciences, Osaka University, Japan.
Yasushi HiraokaGraduate School of Frontier Biosciences, Osaka University, Japan.ORCID 0000-0001-9407-8228
Tokuko HaraguchiGraduate School of Frontier Biosciences, Osaka University, Japan.ORCID 0000-0002-3813-6785
Ube Frontier University · JPMetropolitan University · VE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell migration plays an important role in multicellular organism development. The cellular slime mold Dictyostelium discoideum is a useful model organism for the study of cell migration during development. Although cellular ATP levels are known to determine cell fate during development, the underlying mechanism remains unclear. Here, we report that ATP-rich cells efficiently move to the central tip region of the mound against rotational movement during the mound phase. A simulation analysis based on an agent-based model reproduces the movement of ATP-rich cells observed in the experiments. These findings indicate that ATP-rich cells have the ability to move against the bulk flow of cells, suggesting a mechanism by which high ATP levels determine the cell fate of differentiation.

Indexed as

DictyosteliumAdenosine TriphosphateCell DifferentiationCell MovementAdenosine TriphosphateATPcell movementDictyosteliumdifferentiationlive-cell imagingsimulation

Identifiers

PMID36054629
PMCPMC9623536
OpenAlexW4293716271

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.