A comprehensive approach to gene expression profiling in immune cells.
Sabrina Carpentier1, François Romagné2, Eric Vivier3
1Innate Pharma Research Laboratories, Innate Pharma, Marseille, France.
Methods in Enzymology
|March 18, 2020
Summary
This study presents a comprehensive gene compendium for 52 resting immune cell types, integrating 975 samples from whole-transcriptome studies. This resource aids in analyzing immune cell gene expression across diverse datasets.
Area of Science:
- Immunology
- Bioinformatics
- Genomics
Background:
- Whole-transcriptome studies generate large, heterogeneous datasets.
- Combining these datasets for immune cells is crucial for comprehensive analysis.
- Existing public repositories may lack sufficient integration for immune cell research.
Purpose of the Study:
- To describe the implementation of a qualified gene compendium for immune cells.
- To consolidate data from multiple heterogeneous whole-transcriptome studies.
- To provide a validated resource for immune cell gene expression analysis.
Main Methods:
- Selection and description of relevant datasets.
- Processing of individual arrays: quality control, normalization, and bias correction.
- Data integration: merging rules, global normalization, and batch effect removal.
- Validation of the integrated compendium.
Main Results:
- A compendium of 10,833 genes from 975 samples representing 52 resting immune cell types was created.
- Methodology for processing, integrating, and validating heterogeneous transcriptomic data was detailed.
- Examples of compendium utilization were provided.
Conclusions:
- The developed compendium serves as a valuable resource for immune cell research.
- The study discusses the utility and limitations of the compendium.
- This work lays the foundation for future iterations and expanded immune cell data resources.
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