| Autor: |
Krasnova OA; Institute of Cytology, 194064 Saint Petersburg, Russia., Gursky VV; Institute of Cytology, 194064 Saint Petersburg, Russia.; Ioffe Institute, 194021 Saint Petersburg, Russia., Chabina AS; Institute of Cytology, 194064 Saint Petersburg, Russia., Kulakova KA; Institute of Cytology, 194064 Saint Petersburg, Russia., Alekseenko LL; Institute of Cytology, 194064 Saint Petersburg, Russia., Panova AV; Endocrinology Research Centre, 115478 Moscow, Russia.; Vavilov Institute of General Genetics, Russian Academy of Sciences, 117971 Moscow, Russia., Kiselev SL; Vavilov Institute of General Genetics, Russian Academy of Sciences, 117971 Moscow, Russia., Neganova IE; Institute of Cytology, 194064 Saint Petersburg, Russia. |
| Abstrakt: |
The ability of human pluripotent stem cells for unlimited proliferation and self-renewal promotes their application in the fields of regenerative medicine. The morphological assessment of growing colonies and cells, as a non-invasive method, allows the best clones for further clinical applications to be safely selected. For this purpose, we analyzed seven morphological parameters of both colonies and cells extracted from the phase-contrast images of human embryonic stem cell line H9, control human induced pluripotent stem cell (hiPSC) line AD3, and hiPSC line HPCASRi002-A (CaSR) in various passages during their growth for 120 h. The morphological phenotype of each colony was classified using a visual analysis and associated with its potential for pluripotency and clonality maintenance, thus defining the colony phenotype as the control parameter. Using the analysis of variance for the morphological parameters of each line, we showed that selected parameters carried information about different cell lines and different phenotypes within each line. We demonstrated that a model of classification of colonies and cells by phenotype, built on the selected parameters as predictors, recognized the phenotype with an accuracy of 70-75%. In addition, we performed a qRT-PCR analysis of eleven pluripotency markers genes. By analyzing the variance of their expression in samples from different lines and with different phenotypes, we identified group-specific sets of genes that could be used as the most informative ones for the separation of the best clones. Our results indicated the fundamental possibility of constructing a morphological portrait of a colony informative for the automatic identification of the phenotype and for linking this portrait to the expression of pluripotency markers. |
