Video bioinformatics analysis of human pluripotent stem cell morphology, quality, and cellular dynamics.
Video bioinformatics analysis of human pluripotent stem cell morphology, quality, and cellular dynamics.
复制标题
人类多能干细胞形态、质量和细胞动力学的视频生物信息学分析。
DOI:
10.1002/sctm.15-0352
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发表时间:
2021-09
影响因子:
6
通讯作者:
Talbot P
中科院分区:
文献类型:
--
作者:
Lin SC;Loza A;Antrim L;Talbot P
StemCellQC is a video bioinformatics software tool for the quantitative analysis of human pluripotent stem cell (hPSC) colonies. Our objective was to use StemCellQC to evaluate and compare various experimental culture conditions, cell lines, and treatments and to demonstrate its applicability to PSC problems. Seven key features were identified that provided useful information on PSC morphology, dynamic behavior, and viability. Colony attachment was better on laminin‐521 than on Matrigel and Geltrex. Growth rates were similar on each matrix when data were normalized. The brightness/area ratio feature showed greater cell death in colonies grown on Matrigel and Geltrex than on laminin‐521 further contributing to an overall greater yield of cells on laminin‐521. Four different PSC culture media performed similarly; however, one medium produced batch‐to‐batch variation in colony morphology and dynamic features. Two embryonic and one induced pluripotent stem cell line showed significant differences in morphology, growth rates, motility, and death rates. Cells from the same vial that became phenotypically different in culture showed measurable differences in morphology, brightness, and motility. Likewise, differentiating and undifferentiated colonies varied in growth rate, intensity, and motility. Three pluripotent cell lines treated with a low concentration of cinnamaldehyde, a chemical used in consumer products, showed adverse effects and differed in their sensitivity to treatment. Our data demonstrate various applications of StemCellQC which could be used in basic and translational research, toxicological and drug testing, and clinical facilities engaged in stem cell therapy. Graphical abstract showing the workflow and features of StemCellQC.
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影响因子:
4.6
作者:
Phadnis SM;Loewke NO;Dimov IK;Pai S;Amwake CE;Solgaard O;Baer TM;Chen B;Reijo Pera RA
通讯作者:
Reijo Pera RA
影响因子:
4.6
作者:
Pang, Li
通讯作者:
Pang, Li
影响因子:
3.7
作者:
Zahedi A;On V;Lin SC;Bays BC;Omaiye E;Bhanu B;Talbot P
通讯作者:
Talbot P
DOI:
10.1007/978-3-319-23724-4_1
发表时间:
2015-01-01
期刊:
VIDEO BIOINFORMATICS: FROM LIVE IMAGING TO KNOWLEDGE
影响因子:
--
作者:
Bhanu, Bir;Talbot, Prue
通讯作者:
Talbot, Prue
影响因子:
5.2
作者:
Behar, Rachel Z.;Luo, Wentai;Talbot, Prue
通讯作者:
Talbot, Prue