Modeling rare genetic disease with gene-edited induced pluripotent stem cells: relevance of the starting stock line

Induced pluripotent stem cells (iPSCs) are commonly used to model human genetic diseases. Two main strategies are used. The first involves making iPSC lines from individual cases with a disease, and the second involves making disease-relevant gene edits in established iPSC lines. Because generating gene-edited lines is time consuming and expensive, most studies begin with one starting iPSC stock line and evaluate several gene-edited sublines. The current studies focus on gene-editing to model Lesch-Nyhan disease (LND), which is caused by mutations in the HPRT1 gene. The same pathogenic c.508C>T edit was made in four well-established stock lines, and three gene-edited lines were isolated from each. RNA sequencing (RNAseq) was, then, used to evaluate the impact of the gene edit. Gene-edited lines were compared to their corresponding stock lines, as well as to each other. An aggregate analysis of all lines combined was also conducted to determine the most robust findings across all lines. Results from gene editing were further compared with iPSC lines derived from individual cases with LND, to determine how closely findings from gene editing match results obtained with case-derived lines. There were two main findings. First, the same gene edit has a different impact on gene expression when starting with different starting stock lines. Second, the gene editing strategy does not produce the same results as the case-derived strategy. Potential explanations for these differences are addressed, along with the relevance of these two different strategies for disease modeling.

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Publication Details

Journal
Stem Cells Translational Medicine
Published
2025-11-24
DOI
https://doi.org/10.1093/stcltm/szaf065
Primary Topic
Biochemical and Molecular Research
Type
article
Field-Weighted Citation Impact
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article

Modeling rare genetic disease with gene-edited induced pluripotent stem cells: relevance of the starting stock line

Sharon M. Kolk, Ellen J. Hess, Hyder A. Jinnah, Erkin Ozel et al.
Stem Cells Translational Medicine
Biochemical and Molecular Research
article

Modeling rare genetic disease with gene-edited induced pluripotent stem cells: relevance of the starting stock line

Sharon M. Kolk, Ellen J. Hess, Hyder A. Jinnah, Erkin Ozel, Diane J. Sutcliffe, Ashok Reddy Dinasarapu, Jasper E. Visser, Lauren Grychowski, Anike Thite
article en

Abstract

Induced pluripotent stem cells (iPSCs) are commonly used to model human genetic diseases. Two main strategies are used. The first involves making iPSC lines from individual cases with a disease, and the second involves making disease-relevant gene edits in established iPSC lines. Because generating gene-edited lines is time consuming and expensive, most studies begin with one starting iPSC stock line and evaluate several gene-edited sublines. The current studies focus on gene-editing to model Lesch-Nyhan disease (LND), which is caused by mutations in the HPRT1 gene. The same pathogenic c.508C>T edit was made in four well-established stock lines, and three gene-edited lines were isolated from each. RNA sequencing (RNAseq) was, then, used to evaluate the impact of the gene edit. Gene-edited lines were compared to their corresponding stock lines, as well as to each other. An aggregate analysis of all lines combined was also conducted to determine the most robust findings across all lines. Results from gene editing were further compared with iPSC lines derived from individual cases with LND, to determine how closely findings from gene editing match results obtained with case-derived lines. There were two main findings. First, the same gene edit has a different impact on gene expression when starting with different starting stock lines. Second, the gene editing strategy does not produce the same results as the case-derived strategy. Potential explanations for these differences are addressed, along with the relevance of these two different strategies for disease modeling.

Stem Cells Translational MedicineVol. 14(12)
Radboud University Nijmegen (NL), Emory University (US), Radboud University Medical Center (NL), Amphia Ziekenhuis (NL)
Openalex Percentile: Top 63%
Biochemical and Molecular Research
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