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Single cell immune profiling in transplantation research.

Lauren E Higdon1, Steven Schaffert2,3, Purvesh Khatri2,3

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Single-cell immune profiling technologies offer new insights into cell populations and gene expression. This review covers key analysis methods, including bioinformatics, for these complex datasets, especially for transplantation research.

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basic (laboratory) research/scienceflow cytometrygeneticsgenomicsimmunobiologyinformaticsmolecular biologytranslational research/science

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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.