Evidence map›Paper›PMID 27573412›Full record

ArticleIn vitro cellular & developmental biology. Animal2017

Imaging-cytometry revealed spatial heterogeneities of marker expression in undifferentiated human pluripotent stem cells.

Mika Suga, Saoko Tachikawa, Daiki Tateyama, Kiyoshi Ohnuma, Miho K Furue

Abstract read
In one paragraph

Article in In vitro cellular & developmental biology. Animal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

5 authors.

Mika SugaLaboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Osaka, Ibaraki, 567-0085, Japan.
Saoko TachikawaDepartment of Bioengineering, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka, Niigata, 940-2188, Japan.
Daiki TateyamaResearch & Development Laboratory, NIPRO Corporation, 3023 Nojicho, Kusatsu, Shiga, 525-0055, Japan.
Kiyoshi OhnumaDepartment of Bioengineering, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka, Niigata, 940-2188, Japan. kohnuma@vos.nagaokaut.ac.jp.ORCID http://orcid.org/0000-0002-2272-3643
Miho K FurueLaboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Osaka, Ibaraki, 567-0085, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pluripotent stem cells (hPSCs) provide a good model system for studying human development and are expected as a source for both cell-based medical and pharmaceutical research application. However, stable maintenance of undifferentiated hPSCs is yet challenging, and thus routine characterization is required. Flow-cytometry is one of the popular quantitative characterization tools for hPSCs, but it has drawback of spatial information loss of the cells in the culture. Here, we have applied a two-dimensional imaging cytometry that examines undifferentiated state of hPSCs to analyze localization and morphological information of immunopositive cells in the culture. The whole images of cells in a culture vessel were acquired and analyzed by an image analyzer, IN Cell Analyzer 2000, and determined staining intensity of the cells with their positional information. We have compared the expression of five hPSC-markers in four hPSC lines using the two-dimensional imaging cytometry and flow cytometry. The results showed that immunopositive ratios analyzed by the imaging cytometry had good correlation with those by the flow cytometry. Furthermore, the imaging cytometry revealed spatially heterogenic expression of hPSC-markers in undifferentiated hPSCs. Imaging cytometry is capable of reflecting minute aberrance without losing spatial and morphological information of the cells. It would be a powerful, useful, and time-efficient tool for characterizing hPSC colonies.

Indexed as

Cell DifferentiationBiomarkersCell ShapeColony-Forming Units AssayFlow CytometryGene Expression ProfilingGene Expression RegulationHumansInduced Pluripotent Stem CellsBiomarkersCytometryHuman pluripotent stem cellImagingQuantitative characterization

Identifiers

PMID27573412
PMCPMC5258813

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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.