Establishment and characterization of a novel human induced pluripotent stem cell line stably expressing the iRFP720 reporter
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Selecting and Isolating Colonies of Human Induced Pluripotent Stem Cells Reprogrammed from Adult Fibroblasts
Published on: February 20, 2012
Anita Fehér1, Andrea Schnúr1, Suchitra Muenthaisong1
1BioTalentum Ltd, Aulich Lajos Street 26, Gödöllő, 2100, Hungary.
Abstract:
Stem cell therapy has great potential for replacing beta-cell loss in diabetic patients. However, a key obstacle to cell therapy's success is to preserve viability and function of the engrafted cells. While several strategies have been developed to improve engrafted beta-cell survival, tools to evaluate the efficacy within the body by imaging are limited. Traditional labeling tools, such as GFP-like fluorescent proteins, have limited penetration depths in vivo due to tissue scattering and absorption. To circumvent this limitation, a near-infrared fluorescent mutant version of the DrBphP bacteriophytochrome, iRFP720, has been developed for in vivo imaging and stem/progenitor cell tracking. Here, we present the generation and characterization of an iRFP720 expressing human induced pluripotent stem cell (iPSC) line, which can be used for real-time imaging in various biological applications. To generate the transgenic cells, the CRISPR/Cas9 technology was applied. A puromycin resistance gene was inserted into the AAVS1 locus, driven by the endogenous PPP1R12C promoter, along with the CAG-iRFP720 reporter cassette, which was flanked by insulator elements. Proper integration of the transgene into the targeted genomic region was assessed by comprehensive genetic analysis, verifying precise genome editing. Stable expression of iRFP720 in the cells was confirmed and imaged by their near-infrared fluorescence. We demonstrated that the reporter iPSCs exhibit normal stem cell characteristics and can be efficiently differentiated towards the pancreatic lineage. As the genetically modified reporter cells show retained pluripotency and multilineage differentiation potential, they hold great potential as a cellular model in a variety of biological and pharmacological applications.
Insights
Researchers developed a new near-infrared fluorescent reporter human induced pluripotent stem cell (iPSC) line. This tool enables real-time in vivo imaging for tracking stem cells, crucial for advancing diabetes research and cell therapy efficacy.
Area of Science:
- Biotechnology
- Stem Cell Biology
- Medical Imaging
Background:
- Stem cell therapy shows promise for diabetes treatment by replacing lost beta cells.
- A major challenge is monitoring the survival and function of transplanted cells in vivo.
- Current imaging tools lack sufficient depth penetration for effective in vivo tracking.
Purpose of the Study:
- To develop a novel reporter system for real-time in vivo imaging of human induced pluripotent stem cells (iPSCs).
- To create a genetically engineered iPSC line expressing a near-infrared fluorescent protein (iRFP720) for enhanced imaging capabilities.
- To validate the utility of this reporter iPSC line in biological and pharmacological applications.
Main Methods:
- Utilized CRISPR/Cas9 gene editing technology for precise genetic modification.
- Inserted a CAG-iRFP720 reporter cassette into the AAVS1 locus of human iPSCs.
- Performed genetic analysis to confirm transgene integration and assessed stem cell characteristics and differentiation potential.
Main Results:
- Successfully generated a stable iPSC line expressing iRFP720 with confirmed near-infrared fluorescence.
- Verified that the reporter iPSCs maintain normal stem cell characteristics, including pluripotency and multilineage differentiation potential.
- Demonstrated efficient differentiation capacity towards the pancreatic lineage.
Conclusions:
- The developed iRFP720-expressing iPSC line offers a valuable tool for non-invasive, real-time in vivo imaging.
- This reporter system overcomes limitations of traditional fluorescent proteins for deep tissue imaging.
- The reporter iPSCs are suitable for various biological applications, including stem cell tracking and disease modeling for diabetes research.

