UCSC Immunobrowser Hyunsung John Kim 10/16/2013 UCSC Immunobrowser • Analyze status of Adaptive Immune System • Tracks T-cells based on sequence signature in the T-Cell Receptor Beta • Targeted Next Generation Sequencing generates billions of data points • Can we provide Repertoire-level analysis while preserving Receptor-level detail • Search the literature for clues on T-cell function Adaptive Immune System • Specific – Receptors to bind exclusively to a pathogen • Diverse – Receptors can be designed to almost any pathogen • Memory – Predesigned receptors are reused for subsequent infections • Self/non-self recognition – T-Cells/B-Cells do not attack healthy self cells Specific and Diverse Receptors • Each receptor has a unique genome sequence Memory What do B-cells and T-cells do? http://www.hu.liu.se/ike/forskning/cellbiologi/ros en-anders/rosen/1.264183/Bcell200.jpg Sciencephoto.com http://www.unm.edu/~mpachman/Blood/t_cel l_killing_cancer_cell.jpg B-cell Helper T cell (TH) Cytotoxic T-cell (TC) • Mature in Bone Marrow • Binds directly to antigen • Secretes soluble antibodies • Antibodies aggregate antigens, mark them for phagocytosis or lysis via the complement system • Mature in Thymus • CD4+ • Binds to peptide-MHC class II molecules present only on Antigen Presenting Cells (APCs) • Activates B-cells • Regulates Immune response • Mature in Thymus • CD8+ • Binds to peptide-MHC class I molecules present on most nucleated cells • Destroys infected cells 6 Complementarity Determining Regions (CDR) determine binding specificity Tertiary: Secondary: Primary: 9 Specific and Diverse Receptors CDRs Random Receptor Sequence generated through VDJ Recombination • ~1015-1020 Distinct TCR sequences • Diversity generated through: – Combinatorial Joining (left) – Random Nucleotide addition Clonal Expansion Shapes the Repertoire http://163.16.28.248/bio/activelearner/43/ch43c3.html 15 What is an Immune Repertoire? • Set of all BCR and TCR sequences in an individual – 1011 B-cells and T-cells 16 Immunosequencing Workflow Blood Draw Enrich cells for B/T lymphocytes Amplify Recombined Regions Sequence Recombined Regions with HTS Data Analysis 17 Assay Modified from Warran, et al 2009 20 High throughput sequencers 454 Titanium • Long reads – ~600bp reads • Medium throughput – 106 reads • Preferred for B-cells Illumina HiSeq • Short reads – 2x100bp Paired-end reads • High throughput – 3 x 109 reads • Preferred for T-cells 21 Junctional Analysis VJ gene segment usage Wang et al, 2010 Robins et al, 2009 Boyd et al, 2009 Weinstein et al, 2009 23 UCSC Immunobrowser • • • • Takes in annotated sequence data Generates Repertoire-level visuals Persistent filters view subsets of a repertoire Track clonal expansions over multiple samples – Identify aberrant clonal expansions (Blood cancers) – Track clonal expansions (Immune response) • Search literature • RESTful urls makes sharing easy • (Dev) http://laozi.soe.ucsc.edu:8000 The Future • Motif Finding • Group vs group comparisons • The personal sequencer – Regular TCR/IG sequencing • Integration with Medbook-like service – Detect reoccurence of disease or relapse of autoimmune disease – Know if you’ve got the flu or a cold Fin. • Thanks to: – Max Haeussler – Ngan Nguyen – You, for your time • Questions?