Tutorial of RNA-seq tumor immunity analysis
2022-12-05
Chapter 1 Introduction
This tutorial describes how to perform integrative computational analysis of tumor immunity using bulk RNA-sequencing (RNA-seq) data. We will focus on inferring immune infiltration levels, immune repertoire features, immune response and HLA type from a gene expression profile.
To support the uniform analysis of bulk RNA-sequencing data, we developed a RNA-seq immune analysis pipeline named RIMA that is available at https://github.com/liulab-dfci/RIMA_pipeline.
Tumor RNA-seq has become an important technique for molecular profiling and
immune characterization of tumors. RNA-seq Immune Analysis (RIMA) performs
integrative computational modeling of the tumor microenvironment from bulk tumor
RNA-seq data, which has the potential to offer essential insights to cancer
immunology and immune-oncology studies.
- Read mapping
- Quality control
- Gene quantification
- Batch effect removal
- Differential expression analysis
- Immune repertoire inference
- Immune infiltration estimation
- Immunotherapy response prediction
- Gene fusion
- Microbiome characterization
- Neoantigen detection
Available Tools Checklist
Methods | Description | |
---|---|---|
—PREPROCESSING— | ||
STAR | Spliced Transcript Alignment to a Reference | |
Salmon | Gene Quantification | |
RSeQC | High Throughput Sequence Data Evaluation | |
batch_removal | Remove Batch Effects Using Limma | |
—DIFFERENTIAL EXPRESSION— | ||
DESeq2 | Gene Differential Expression Analysis | |
GSEA | Gene Set Enrichment Analysis | |
ssGSEA | Single-sample GSEA | |
—IMMUNE REPERTOIRE— | ||
TRUST4 | TCR and BCR Sequence Analysis | |
—IMMUNE INFILTRATION— | ||
ImmuneDeconv | Cell Components Estimation | |
—IMMUNE RESPONSE— | ||
MSIsensor2 | Microsatellite Instability (MSI) Detection | |
TIDEpy | T cell dysfunction and exclusion prediction | |
—FUSION— | ||
STAR-Fusion | Identify the fusion gene pairs | |
—MICROBIOME— | ||
Centrifuge | Bacterial Abundance Detection | |
—NEO-ANTIGEN— | ||
arcasHLA | HLA Class I and Class II Genotyping |