Evidence map›Paper›PMID 29169283›Full record

ArticleCell cycle (Georgetown, Tex.)2018

Time-lapse microscopic observation of non-dividing cells in cultured human osteosarcoma MG-63 cell line.

John Dosch, Elise Hadley, Cal Wiese, Marissa Soderberg, Tori Houwman, Kai Ding, Alexandra Kharazova, John L Collins, Bart van Knippenberg, Carl Gregory and 1 more

Abstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2018. 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. Review
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

11 authors.

John Doscha Department of Biology , Dakota Wesleyan University , 219 Corrigan Science Center, 1200 W. University Ave, Mitchell , SD , U.S.A .ORCID 0000-0002-1943-7099
Elise Hadleya Department of Biology , Dakota Wesleyan University , 219 Corrigan Science Center, 1200 W. University Ave, Mitchell , SD , U.S.A .
Cal Wiesea Department of Biology , Dakota Wesleyan University , 219 Corrigan Science Center, 1200 W. University Ave, Mitchell , SD , U.S.A .
Marissa Soderberga Department of Biology , Dakota Wesleyan University , 219 Corrigan Science Center, 1200 W. University Ave, Mitchell , SD , U.S.A .
Tori Houwmana Department of Biology , Dakota Wesleyan University , 219 Corrigan Science Center, 1200 W. University Ave, Mitchell , SD , U.S.A .ORCID 0000-0003-4292-8010
Kai Dingb Johns Hopkins School of Medicine , 401 N. Broadway / Suite 1471, Baltimore MD , U.S.A.
Alexandra Kharazovac St. Petersburg State University , St. Petersburg , Russian Federation.
John L Collinsd Department of Biology , University of Tennessee at Martin , 574 University Street, U.S.A.
Bart van Knippenberge CytoSMART Technologies BV , De Lismortel 31 5612AR Eindhoven , The Netherlands.
Carl Gregoryf Institute for Regenerative Medicine , Texas A&M Health Science Center 208B , Reynolds Medical Building, College Station , TX , U.S.A.
Alexander Kofmana Department of Biology , Dakota Wesleyan University , 219 Corrigan Science Center, 1200 W. University Ave, Mitchell , SD , U.S.A .ORCID 0000-0002-8491-2407

Funding

Wichozani-A Healthy Lifestyle for Rural American Indian Youth through Cultural and Physical Activities: A Community-Based Participatory Research StudyP20GM103443 · NIGMS · UNIVERSITY OF SOUTH DAKOTA · PI Ryan Michael Johnson · 2012 to 2026
$58.1M
NIGMS NIH HHS P20 GM103443
6 · The paper itself

Abstract

Cancer stem cells resemble normal tissue-specific stem cells in many aspects, such as self-renewal and plasticity. Like their non-malignant counterparts, cancer stem cells are suggested to exhibit a relative quiescence. The established cancer cell lines reportedly harbor slow-proliferating cells that are positive for some cancer stem cells markers. However, the fate of these cells and their progeny remains unknown. We used time-lapse microscopy and the contrast-based segmentation algorithm to identify and monitor actively dividing and non-dividing cells in human osteosarcoma MG-63 cell line. Within the monitored field of view the non-dividing cells were represented by three cells that never divided, and one cell that attempted to divide, but failed cytokinesis, and later, after significantly prolonged division, produced the progeny with enlarged segmented nuclei, thus pointing to a possible mitotic catastrophe. Together, these cells initially constituted about 6.2% of the total number of seeded cells, yet only 0.02% of all cells at the end of the observation period when cells became confluent. Non-dividing cells were characterized by rounded shape, dark nuclei, random cytoplasmic streaming and subtle oscillatory movement, however, they did not migrate and rarely formed cell-cell contacts as compared to actively dividing cells. Our data indicate that the observed non-dividing MG-63 cells do not have a growth advantage over other cells and, therefore, they do not contribute to the cancer stem cells pool.

Indexed as

Cell DivisionBone NeoplasmsCell CommunicationCell Line, TumorCell MovementCytokinesisHumansMicroscopyNeoplastic Stem CellsOsteosarcomaTime-Lapse Imaginganeuploidycancercell-cell interactionNon-dividingquiescentstem cellstime-lapse microscopy

Identifiers

PMID29169283
PMCPMC5884383

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.