bioRxivBioengineeringPreprint
Systematic characterization of existing and novel inducible transgenic systems in human pluripotent stem cells after prolonged differentiation
Michael D. GallagheriD, Andrew S. KhaliliD, Qi Liu, Tenzin Lungjangwa, Antar DrewsiD, Blake F. HananiD, Moritz List, Henry Hardart, David J. MooneyiD, Rudolf JaenischiD
Abstract
The ability to control transgene expression both temporally and quantitatively in human-relevant cells and tissues is a cornerstone of biomedical research. Additionally, precise transgene control is crucial for optimizing human cell-based gene therapies. Human pluripotent stem cells (hPSCs) have facilitated major advances in disease modeling and the potential for regenerative medicine. Still, they are significantly limited by the lack of inducible transgenic systems that avoid silencing but maintain robust inducibility after differentiation to defined cell lineages. Here we systematically characterize the leakiness, inducibility, and tunability of multiple existing and novel transgenic systems in hPSCs and differentiated macrophages and microglia. Notably, we report the application of a small molecule-mediated splicing switch (Xon) that allows for tunable transgene expression both before and after differentiation, without the large protein tags required for current state-of-the-art degron-based methods. We use Xon to achieve tight control of reporter genes, overexpression of multiple neurodegeneration-associated genes, and Cas9-mediated genome editing. We also characterize the current limitations of this system and describe approaches that can alleviate some of these limitations. By assessing multiple transgenic systems whose inducibility spans the transcriptional, post-transcriptional, and post-translational levels, we highlight and improve upon a major technical challenge that hinders basic, translational, and clinical research in physiological human-based systems.
- organism: human
- assay: CRISPR screen
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: perturbation response prediction
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- Citations
- 0
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