Single cell immune profiling in transplantation research

Area of Science:

• Immunology
• Bioinformatics
• Genomics

Background:

• Single-cell profiling technologies are advancing the study of immune cell heterogeneity and gene expression.
• These advanced techniques generate complex datasets requiring specialized bioinformatics expertise for accurate interpretation.

Purpose of the Study:

• To review single-cell immune profiling technologies for gene and protein expression.
• To discuss critical data analysis considerations for these technologies.
• To provide examples for applying these methods in transplantation research.

Main Methods:

• Cytometry by time-of-flight
• RNA sequencing
• Antigen receptor sequencing
• Bioinformatic analysis pipelines

Main Results:

• Discussion of quality control, quantification, and high-dimensional analysis methods.
• Exploration of immune repertoire analysis techniques.
• Guidance on preparing robust analysis pipelines for single-cell data.

Conclusions:

• Effective data analysis is crucial for high-parameter single-cell studies.
• These technologies and analysis strategies can yield significant insights in transplantation research.