Gain insights into immunological diseases with genomics

Immunogenomics Research

Genomic analysis technologies can advance immunology research by elucidating immune cell function and signaling. The causes of complex autoimmune diseases (such as lupus, rheumatoid arthritis, and multiple sclerosis) and other immunological disorders are still poorly understood.

Immunogenomics solutions from Illumina can help immunology researchers gain insight into potential autoimmune disease mechanisms, the immune repertoire, and the functional consequences of immune-related genetic variation. Next-generation sequencing (NGS) provides the quality, throughput, and read lengths required by the research community to map the immune response at high resolution. Microarrays offer high-density content for large-scale studies of genetic variation in the human immune system. 

Immunology Research Publication Review
Immunology Research Review

View summaries of peer-reviewed publications showing the diverse ways in which immunologists use NGS.

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NGS is proving to be a powerful immunogenomics research tool to map the vast repertoire of immune cells that are capable of recognizing a seemingly boundless array of targets.1 Repertoire sequencing has enabled researchers to identify unique receptor variants found in individuals with susceptibility to autoimmune disorders, hematological malignancies, and other diseases.2  

Investigating the Mysteries of Autoimmunity

Immunology professor Dr. Carola Vinuesa discusses how NGS studies can unravel the complex interaction of cells and molecules that regulate antibody responses and autoimmunity.

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Immunology Discoveries at the Single-Cell Level
Single Cell

Hear about immunology research using single-cell sequencing approaches, from single-cell analysis of airway T cells in severe asthma to reactive astrocyte studies and more.

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Sequencing-Based Discoveries in Immunology
Fluorescent cells

Professors from the University of Oxford, Harvard Medical School, and NYU discuss how NGS data has illuminated understanding of atypical immune cell populations and tissue-specific immune responses.

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Hear from Immunology Researchers

 
Tumor-Specific HLA Ligands
Precision Immunotherapies Using Tumor-Specific HLA Ligands

RNA-Seq and human leukocyte antigen (HLA) typing are increasing the power and efficiency of a target discovery platform.

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Magnified DNA
Genomics and Immune Diseases

Dr. Janna Saarela discusses use of genomics to study pathogenic mechanisms behind common and rare immune diseases.

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Breast cancer
NGS Proves Invaluable for Biomarker Discovery

Researchers use NGS for cancer gene expression analysis, immunology research, and immunotherapy biomarker studies.

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Lessons from Immunogenomic Analyses Using RNA-Seq

A wide variety of cell types are involved in anti-tumor immune responses, resulting in a complex tumor microenvironment. Prof. Zlatko Trajanoski from the Medical University of Innsbruck explains how RNA-Seq can help decipher the tumor microenvironment. 

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tumor microenvironment

AmpliSeq for Illumina Immune Repertoire Plus, TCR beta Panel: Investigate T cell diversity and clonal expansion by sequencing T cell receptor (TCR) beta chain rearrangements.

AmpliSeq for Illumina TCR beta-SR (Short Read) Panel: FFPE-compatible panel for measuring T cell diversity and clonal expansion in tumor samples by sequencing TCR beta chain rearrangements.

AmpliSeq for Illumina Immune Response Panel: Targeted RNA expression panel investigating 395 genes involved in tumor-immune system interactions.

NextSeq 1000 and NextSeq 2000 Systems: These benchtop sequencing systems provide the reads necessary for a detailed view of the immune repertoire and offer extensive cross-application flexibility.

Partek Flow software: This user-friendly software supports analysis and visualization of multiomics data, including V(D)J sequencing data.

Infinium Immunoarray: Evaluate autoimmune disorder and immune function–associated genetic variants on a single microarray.

Infinium Global Screening-24 Kit: Perform scalable, cost-effective population genetics research and study immunology-related variants such as HLA and KIR gene variants.

Single Cell Omics and Cellular Immunology Research

In episode 45 of the Illumina Genomics Podcast, Dr. Shalin Naik discusses the use of single cell genomics to understand the immune system.

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Full-length IR-Seq on the NextSeq 1000 and NextSeq 2000 Systems

Learn how the NextSeq 1000 and NextSeq 2000 Systems enable complex immune repertoire sequencing studies, including full-length V(D)J sequencing.

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Application note: IR-Seq on the NextSeq 1000 and 2000 Systems
Immuno-oncology Research

NGS can help researchers identify mutations that allow tumors to evade the immune response, as well as neoantigens that can boost T cell-mediated immunity.

Complex Disease Research

Illumina sequencing is introducing new avenues for understanding autoimmune and rheumatic diseases, atherosclerosis, psychiatric, and other disorders on a molecular level.

Immune Response Profiling

Investigating immune responses to pathogens can increase our understanding of disease susceptibility and severity. Explore methods for studying immunological responses and identifying genetic risk factors.

Single-Cell RNA Sequencing

Explore the distinct biology of individual cells within a complex tissue, or investigate the molecular mechanisms behind subpopulation responses to environmental cues.

Spatial Transcriptomics

Map transcriptional activity within structurally intact tissues and accurately resolve mRNA expression at the cellular level to unravel complex biological interactions.

Multiomics

Combine data from genomics, transcriptomics, epigenetics, and proteomics to achieve a more comprehensive understanding of molecular changes contributing to development, cellular response, and disease.

Driving IBD Discovery with Integrative Genomics
Driving IBD Discovery with Immunogenomics

Dr Carl Anderson discusses integrated research approaches in inflammatory bowel disease (IBD) research.

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Cancer-specific protein patterns of single cells
Cancer-specific protein patterns of single cells

Quantify and spatially map membrane proteins, and discover immune cell behavior mechanisms.

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References
  1. Woodsworth D.J., Castellarin M., and Holt R.A. Sequence analysis of T-cell repertoires in health and disease. Genome Med. 2013; 5:98.
  2. Robins H. Immunosequencing: applications of immune repertoire deep sequencing. Curr Opin Immunol. 2013; 25: 646-652.