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Updated: Aug 7, 2025

Generation and Characterization of Human Induced Pluripotent Stem Cell-derived Astrocytes Lacking Fragile X Messenger Ribonucleoprotein
Published on: June 6, 2025
Protocol to differentiate monolayer human induced pluripotent stem cells into inflammatory responsive astrocytes
Anna Maria Sole Giordano1, Monah Abou Alezz1, Ivan Merelli1
1San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
This study details a protocol for generating inflammatory-responsive astrocytes from human induced pluripotent stem cells. This method yields a highly pure astrocyte population for neurological and neuroinflammatory disorder research.
Area of Science:
- Neuroscience
- Stem Cell Biology
- Immunology
Background:
- Astrocytes play a critical role in neurological and neuroinflammatory disorders.
- Generating specific astrocyte populations for research is essential for understanding these conditions.
Purpose of the Study:
- To present an efficient protocol for generating inflammatory-responsive astrocytes.
- To enable research into neurological and neuroinflammatory disorders using a standardized astrocyte model.
Main Methods:
- Human induced pluripotent stem cells were differentiated into neural progenitor cells.
- Neural progenitor cells were further differentiated into neural/glial progenitors.
- Enrichment strategies were employed to obtain a >90% pure inflammatory-responsive astrocyte population.
Main Results:
- A robust protocol for astrocyte generation was established.
- A homogeneous population of inflammatory-responsive astrocytes was successfully produced.
- The protocol ensures high purity (>90%) of the target astrocyte population.
Conclusions:
- The developed protocol efficiently generates inflammatory-responsive astrocytes from human induced pluripotent stem cells.
- This method provides a valuable tool for studying astrocyte function in neurological and neuroinflammatory contexts.
- The protocol supports monolayer culture, facilitating scalability and reproducibility in research.
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