Improved method for bacterial cell capture after flow cytometry cell sorting.

Area of Science:

• Cell biology
• Molecular biology
• Biotechnology

Background:

• Flow cytometry (FCM) is a powerful technique for cell analysis and sorting.
• Cellular nucleic acid content varies and influences scatter properties.
• Efficient nucleic acid amplification from sorted cells is crucial for downstream applications.

Purpose of the Study:

• To develop and validate a method for sorting cells with distinct nucleic acid contents using FCM.
• To ensure efficient and reproducible nucleic acid amplification from sorted cells.

Main Methods:

• Cells with varying nucleic acid content (low nucleic acid [LNA], high nucleic acid 1 [HNA1], and HNA2) were fixed.
• Flow cytometry was used to sort these distinct cell populations.
• Sorted cells (10,000 per sort) were captured on poly-l-lysine-coated microplates.

Main Results:

• Successful sorting of fixed cells into LNA, HNA1, and HNA2 populations based on nucleic acid content and scatter properties.
• High-efficiency capture of sorted cells onto microplates.
• Demonstrated efficient and reproducible PCR amplification from the captured cells.

Conclusions:

• Flow cytometry is effective for sorting cells with differential nucleic acid content.
• Poly-l-lysine-coated microplates facilitate efficient cell capture for subsequent molecular analysis.
• The combined FCM sorting and microplate capture method yields reproducible PCR amplification, suitable for various molecular biology applications.