Assessing the impact of cell isolation method on B cell gene expression using next-generation sequencing.

Area of Science:

• Immunology
• Molecular Biology
• Genomics

Background:

• Transcriptional profiling of peripheral blood mononuclear cells (PBMCs) is vital in many research areas.
• Isolating specific cell populations, such as B cells (5-10% of PBMCs), is critical for studying B cell malignancies.
• Common isolation techniques include magnetic cell sorting (MCS) and fluorescence-activated cell sorting (FACS).

Purpose of the Study:

• To investigate the impact of different B cell isolation methods on gene expression.
• To specifically evaluate effects on CD19+ B cells using RNA sequencing (RNA-seq).
• To compare positive MCS, negative MCS, and FACS isolation techniques.

Main Methods:

• RNA sequencing (RNA-seq) was performed on B cells isolated from four healthy donors.
• Three isolation methods were used: positive MCS, negative MCS (EasySep StemCell Technologies), and FACS (MACSQuant Tyto sorter).
• Gene expression profiles were analyzed to identify method-specific alterations.

Main Results:

• Significant gene expression changes were observed in CD19+ B cells isolated by positive MCS or FACS compared to negative MCS.
• Positive MCS and FACS led to a general upregulation of immune activity and receptor signaling genes.
• Downregulation of RNA processing genes was noted following positive MCS and FACS isolation.

Conclusions:

• B cell isolation methods significantly impact gene expression profiles.
• Positive MCS and FACS can alter the transcriptional landscape of isolated B cells.
• Experimental design and interpretation of public RNA-seq datasets must account for cell isolation methodology.