Evidence map›Paper›PMID 33580410›Full record

ArticleProtoplasma2021

Long-term live cell cycle imaging of single Cyanidioschyzon merolae cells.

Takako M Ichinose, Atsuko H Iwane

Abstract read
In one paragraph

Article in Protoplasma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Life cycle and functional genomics of the unicellular red algaProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Review
  5. 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

2 authors.

Takako M IchinoseCenter for Biosystems Dynamics Research, Laboratory for Cell Field Structure, Riken, 3-10-23, Kagamiyama, Higashihiroshima, 739-0046, Japan.
Atsuko H IwaneCenter for Biosystems Dynamics Research, Laboratory for Cell Field Structure, Riken, 3-10-23, Kagamiyama, Higashihiroshima, 739-0046, Japan. atsuko.iwane@riken.jp.ORCID http://orcid.org/0000-0003-2641-2268

Funding

Japan Society for the Promotion of Science Grant-Aid for Scientific Research (B)Japan Society for the Promotion of Science Grant-in-Aid for Exploratory Research
6 · The paper itself

Abstract

Live cell imaging by fluorescence microscopy is a useful tool for elucidating the localization and function of proteins and organelles in single cells. Especially, time-lapse analysis observing the same field sequentially can be used to observe cells of many organisms and analyze the dynamics of intracellular molecules. By single-cell analysis, it is possible to elucidate the characteristics and fluctuations of individual cells, which cannot be elucidated from the data obtained by averaging the characteristics of an ensemble of cells. The primitive red alga Cyanidioschyzon merolae has a very simple structure and is considered a useful model organism for studying the mechanism of organelle division, since the division is performed synchronously with the cell cycle. However, C. merolae does not have a rigid cell wall, and environmental changes such as low temperature or high pH cause morphological change and disruption easily. Therefore, morphological studies of C. merolae typically use fixed cells. In this study, we constructed a long-term time-lapse observation system to analyze the dynamics of proteins in living C. merolae cells. From the results, we elucidate the cell division process of single living cells, including the function of intracellular components.

Indexed as

Cell CycleMicroscopy, FluorescencePlantsCyanidioschyzon merolaeLive cell cycle imagingLong-term time-lapse observationβ-Tubulin

Identifiers

PMID33580410
PMCPMC8052221

What OpenQuestion holds

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Registered trials

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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.