Evidence map›Paper›PMID 25208094›Full record

ArticlePloS one2014

Digital holographic microscopy for non-invasive monitoring of cell cycle arrest in L929 cells.

Maria Falck Miniotis, Anthonny Mukwaya, Anette Gjörloff Wingren

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
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  4. BRAFeLife · 2021
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  6. Morphology, Motility, and Cytoskeletal Architecture of Breast Cancer Cells Depend on Keratin 19 and Substrate.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020
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  11. Noninvasive detection of macrophage activation with single-cell resolution through machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Article
  13. Article
  14. Article
  15. Supervised classification of etoposide-treatedJournal of medical imaging (Bellingham, Wash.) · 2017
    Article
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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 1 institution in 1 country.

Maria Falck MiniotisDepartment of Biomedical Laboratory Science, Health and Society, Malmö University and Malmö University Hospital, Malmö, Sweden.
Anthonny MukwayaDepartment of Biomedical Laboratory Science, Health and Society, Malmö University and Malmö University Hospital, Malmö, Sweden.
Anette Gjörloff WingrenDepartment of Biomedical Laboratory Science, Health and Society, Malmö University and Malmö University Hospital, Malmö, Sweden.
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital holographic microscopy (DHM) has emerged as a powerful non-invasive tool for cell analysis. It has the capacity to analyse multiple parameters simultaneously, such as cell- number, confluence and phase volume. This is done while cells are still adhered and growing in their culture flask. The aim of this study was to investigate whether DHM was able to monitor drug-induced cell cycle arrest in cultured cells and thus provide a non-disruptive alternative to flow cytometry. DHM parameters from G1 and G2/M cell cycle arrested L929 mouse fibroblast cells were collected. Cell cycle arrest was verified with flow cytometry. This study shows that DHM is able to monitor phase volume changes corresponding to either a G1 or G2/M cell cycle arrest. G1-phase arrest with staurosporine correlated with a decrease in the average cell phase volume and G2/M-phase arrest with colcemid and etoposide correlated with an increase in the average cell phase volume. Importantly, DHM analysis of average cell phase volume was of comparable accuracy to flow cytometric measurement of cell cycle phase distribution as recorded following dose-dependent treatment with etoposide. Average cell phase volume changes in response to treatment with cell cycle arresting compounds could therefore be used as a DHM marker for monitoring cell cycle arrest in cultured mammalian cells.

Indexed as

AnimalsCell Cycle CheckpointsCell LineDemecolcineDose-Response Relationship, DrugEtoposideHolographyMiceMicroscopyStaurosporineDemecolcineEtoposideStaurosporine

Identifiers

PMID25208094
PMCPMC4160194
OpenAlexW2087436057

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.