ArticleStem cell reviews and reports2026
Gene Expression at the Pluripotency Stage Predicts Pancreatic Endocrine Differentiation in iPSC Clones.
Article in Stem cell reviews and reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Deep learning for predicting stem cell efficiency for use in beta cell differentiation.Scientific reports · 2026Article
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7 authors.
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Abstract
backgroundInduced pluripotent stem cell (iPSC)-derived β-like cells hold great promise for cell replacement therapy in type 1 diabetes. However, the reprogramming process generates iPSC clones with variable differentiation capacity, hindering the selection of optimal cell lines. This study aimed to identify an early-stage transcriptional signature capable of predicting the β cell differentiation potential of donor-matched iPSC clones.
methodsEleven iPSC clones derived from a single donor were differentiated to the definitive endoderm (DE) stage; six were further driven toward pancreatic progenitors (PP) and insulin-producing cells. Differentiation efficiency was evaluated by flow cytometry and qPCR at iPSC, DE, PP, and β cell stages. At the pluripotent stage, expression profiling of 770 genes related to pluripotency and trilineage specification was performed to identify predictive molecular markers.
resultsTranscriptomic analysis segregated the clones into two groups (Gr1 and Gr2) with significantly different differentiation outcomes. Gr2 clones exhibited superior DE efficiency (Cxcr4⁺: 90.1 ± 5.6% vs. 79.8 ± 3.6%; P = 0.027) and higher expression of PP markers (Pdx1⁺, Nkx6.1⁺, and double-positive cells; P ≤ 0.05). At the β cell stage, Gr2 clones showed increased frequencies of Pdx1⁺/Ins⁺ and Nkx6.1⁺/Ins⁺ cells (P ≤ 0.05), along with enhanced glucose-stimulated insulin secretion. A set of 73 differentially expressed genes, enriched in pathways related to naïve/primed pluripotency, endoderm commitment, and metabolism, was identified. From this, a ten-gene signature validated by qPCR strongly correlated with pancreatic marker expression at all stages.
conclusionsAn early gene expression signature at the pluripotent stage predicts the pancreatic endocrine differentiation potential of iPSC clones. This molecular screening approach may enable rapid preselection of high-performing clones, thereby accelerating the development of personalized stem cell–based therapies for diabetes. Cellular reprogramming is a fundamental tool in regenerative medicine but often produces iPSC clones with heterogeneous differentiation potential. Identifying the most suitable clones typically requires time-consuming assays and prolonged in vitro testing. This study presents a streamlined transcriptomic approach to predict, at the pluripotent stage, the differentiation efficiency of iPSC clones into pancreatic endoderm and insulin-producing cells, enabling early selection of high-performing lines for the development of diabetes cell therapy.
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