4.7 Article

Estimating residual undifferentiated cells in human chemically induced pluripotent stem cell derived islets using lncRNA as biomarkers

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SCIENTIFIC REPORTS
卷 13, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-023-43798-0

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Researchers have developed a highly sensitive assay to detect undifferentiated cells in islet cells derived from human chemically induced pluripotent stem cells (hCiPSCs). They identified biomarkers using RNA-seq data and confirmed them through RT-qPCR and ddPCR. This study provides a method to ensure the safety and quality of hCiPSC-derived islet cells for clinical use.
Human pluripotent stem cells (hPSCs) can generate insulin-producing beta cells for diabetes treatment, but residual undifferentiated cells may cause tumors. We developed a highly sensitive assay to detect these cells in islet cells derived from human chemically induced pluripotent stem cells (hCiPSCs), which are transgene-free and safer. We used RNA-seq data to find protein-coding and non-coding RNAs that were only expressed in hCiPSCs, not in islet cells. We confirmed these biomarkers by RT-qPCR and ddPCR. We chose long non-coding RNA (lncRNA) markers, which performed better than protein-coding RNA markers. We found that LNCPRESS2, LINC00678 and LOC105370482 could detect 1, 1 and 3 hCiPSCs in 106 islet cells by ddPCR, respectively. We tested our method on several hCiPSC lines, which could quantify 0.0001% undifferentiated cell in 106 islet cells by targeting hCiPSCs-specific lncRNA transcripts, ensuring the safety and quality of hCiPSC-derived islet cells for clinical use.

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