bioRxivMolecular BiologyPreprint
Development of a Stable Human iPSC Line from Peripheral Blood: A Control Resource for Disease Modeling
Surajit MalakariD, Vasanth ThamodaraniD, Tamali Halder, Deepika JoshiiD, Parimal Kumar DasiD
Abstract
IntroductionTraditional disease modeling approaches have primarily utilized animal models and immortalized cell lines to investigate disease mechanisms and develop therapeutic strategies. However, previous research indicates that only about 5% of therapeutic interventions tested in animal models eventually receive regulatory approval for human use, highlighting limitations. The discovery of human-induced pluripotent stem cells (iPSCs) by Yamanakas team in 2007 has revolutionized the field with remarkable possibilities for modeling human diseases, drug testing, and regenerative medicine. Differentiated cells derived from iPSCs in two-dimensional (2D) monolayers offer a relatively straightforward system to study disease pathogenesis and underlying molecular mechanisms. ObjectiveThe present study aimed to generate and characterize an induced pluripotent stem cell (iPSC) line from peripheral blood mono-nuclear cells (PBMCs) of a healthy individual intending to serve as an age and gender-matched control for future disease modeling and regenerative medicine research. Materials and MethodsPBMCs were isolated from a healthy 31-year-old male volunteer. Somatic reprogramming was performed using episomal vectors expressing OCT3/4, SOX2, KLF4, and L-MYC. The resulting colonies were cultured and characterized for pluripotency markers by immunocytochemistry demonstrating the ability to differentiate into three germ layers. Karyotype analysis was performed to check the chromosomal abnormalities. InferencesThe resulting iPSC line exhibited pluripotency markers with the differentiation ability into three germ layers. Karyotyping analysis confirmed a normal chromosomal profile in both the donor and the reprogrammed iPSC line. This iPSC line could be a valuable resource as a healthy control for disease modeling and will contribute to advancing stem cell research with potential for regenerative medicine applications.
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