Predicting reprogramming-related gene expression from cell morphology in human induced pluripotent stem cells.

ABSTRACT: Purification is essential before differentiating human induced pluripotent stem cells (hiPSCs) into cells that fully express particular differentiation marker genes. High-quality iPSC clones are typically purified through gene expression profiling or visual inspection of the cell morphology; however, the relationship between the two methods remains unclear. We investigated the relationship between gene expression levels and morphology by analyzing live-cell, phase-contrast images and mRNA profiles collected during the purification process. We employed these data and an unsupervised image feature extraction method to build a model that predicts gene expression levels from morphology. As a benchmark, it was confirmed that the method can predict the gene expression levels from tissue images f

SUBMITTER: Wakui T 

PROVIDER: S-EPMC10162412 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature