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Highly scalable arrayed CRISPR mediated gene silencing in primary lung small airway epithelial cells
Anna Dickson1, Niamh Mullooly1, Alessia Serrano1
1Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, CB2 0AA, United Kingdom.
Abstract:
Small airway epithelial cells (SAECs) play a central role in the pathogenesis of lung diseases and are now becoming a crucial cellular model for target identification and validation in drug discovery. However, primary cell lines such as SAECs are often difficult to transfect using traditional lipofection methods; therefore, gene editing using CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 is often carried out through ribonucleoprotein (RNP) electroporation. Here we have established a robust, scalable, and automated arrayed CRISPR nuclease (CRISPRn) screening workflow for SAECs which can be combined with a myriad of disease-specific endpoint assays.
Insights
We developed an automated CRISPR screening method for small airway epithelial cells (SAECs) to advance lung disease research and drug discovery. This robust workflow improves gene editing efficiency in these crucial cells.
Area of Science:
- Cell Biology
- Genomics
- Drug Discovery
Background:
- Small airway epithelial cells (SAECs) are vital for studying lung diseases and drug development.
- Traditional transfection methods are inefficient for SAECs, hindering genetic studies.
- CRISPR/Cas9 gene editing via ribonucleoprotein (RNP) electroporation is a common alternative.
Purpose of the Study:
- To establish a scalable and automated CRISPR nuclease (CRISPRn) screening workflow for SAECs.
- To facilitate target identification and validation in lung disease research.
- To enable combination with various disease-specific assays.
Main Methods:
- Development of a robust, scalable, and automated arrayed CRISPRn screening workflow.
- Utilized ribonucleoprotein (RNP) electroporation for efficient gene editing in SAECs.
- Integrated the workflow with diverse disease-specific endpoint assays.
Main Results:
- Successfully established an automated CRISPRn screening workflow for SAECs.
- Demonstrated the workflow's robustness and scalability.
- Showcased the compatibility with multiple disease-specific assays.
Conclusions:
- The developed workflow provides an efficient method for gene editing in SAECs.
- This advancement supports target identification and validation in lung disease drug discovery.
- The automated system offers a versatile platform for future research.
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