Applications of Immunogenomics to Cancer

Slides:



Advertisements
Similar presentations
Individualized Medicine from Prewomb to Tomb Eric J. Topol Cell Volume 157, Issue 1, Pages (March 2014) DOI: /j.cell Copyright.
Advertisements

What We Talk About When We Talk About Fat Evan D. Rosen, Bruce M. Spiegelman Cell Volume 156, Issue 1, Pages (January 2014) DOI: /j.cell
Transcriptional Control of Gene Expression by MicroRNAs Basel Khraiwesh, M. Asif Arif, Gotelinde I. Seumel, Stephan Ossowski, Detlef Weigel, Ralf Reski,
Genome-wide Single-Cell Analysis of Recombination Activity and De Novo Mutation Rates in Human Sperm Jianbin Wang, H. Christina Fan, Barry Behr, Stephen.
UvrD Helicase Unwinds DNA One Base Pair at a Time by a Two-Part Power Stroke Jae Young Lee, Wei Yang Cell Volume 127, Issue 7, Pages (December.
Eph-Ephrin Bidirectional Signaling in Physiology and Disease Elena B. Pasquale Cell Volume 133, Issue 1, Pages (April 2008) DOI: /j.cell
Xenobiotics Shape the Physiology and Gene Expression of the Active Human Gut Microbiome Corinne Ferrier Maurice, Henry Joseph Haiser, Peter James Turnbaugh.
Cancer Metabolism Cell Volume 148, Issue 3, (February 2012) DOI: /j.cell Copyright © 2012 Terms and Conditions Terms and Conditions.
Nuclear Receptors, RXR, and the Big Bang Ronald M. Evans, David J. Mangelsdorf Cell Volume 157, Issue 1, Pages (March 2014) DOI: /j.cell
ERBB Receptors: From Oncogene Discovery to Basic Science to Mechanism-Based Cancer Therapeutics Carlos L. Arteaga, Jeffrey A. Engelman Cancer Cell Volume.
The Landscape of Microsatellite Instability in Colorectal and Endometrial Cancer Genomes Tae-Min Kim, Peter W. Laird, Peter J. Park Cell Volume 155, Issue.
P120-Catenin Mediates Inflammatory Responses in the Skin Mirna Perez-Moreno, Michael A. Davis, Ellen Wong, H. Amalia Pasolli, Albert B. Reynolds, Elaine.
Mutually Exclusive Binding of Telomerase RNA and DNA by Ku Alters Telomerase Recruitment Model Jennifer S. Pfingsten, Karen J. Goodrich, Cornelius Taabazuing,
Sex-Specific Aging in Flies, Worms, and Missing Great-Granddads
Socializing Individualized T-Cell Cancer Immunotherapy
Overview of next-generation sequencing, neoantigen prediction, and functional T-cell analyses. Overview of next-generation sequencing, neoantigen prediction,
Treating Flu with Skin of Frog
The Differentiation of Vertebrate Immune Cells
Scratching the Surface of Immunotherapeutic Targets in Neuroblastoma
“Corination” of the proANP converting enzyme
CoSMoS Unravels Mysteries of Transcription Initiation
Heavy Metal Enlightens Tumor Immunity
RAS’s Cloak of Invincibility Slips at Last?
Tumor Evolution: A Problem of Histocompatibility
Scratching the Surface of Immunotherapeutic Targets in Neuroblastoma
DAISY: Picking Synthetic Lethals from Cancer Genomes
Transcriptional Noise and Somatic Mutations in the Aging Pancreas
Lock and Key to Transcription: σ-DNA Interaction
In This Issue Cell Volume 158, Issue 5, (August 2014)
The Differentiation of Vertebrate Immune Cells
Bringing IDH into the Fold
Immunodominant-Peptide Recognition: Beta Testing TCRαβ
The Evolution of Adaptive Immune Systems
MicroRNAs and Parallel Stem Cell Lives
Epigenetics Drives RAGs to Recombination Riches
HMGA2, MicroRNAs, and Stem Cell Aging
Prion-like Domains Program Ewing’s Sarcoma
E Proteins Enforce Security Checkpoints in the Thymus
PARP Inhibitors in Cancer Therapy: Promise, Progress, and Puzzles
A New Way to Diversify Antibodies by DNA Transposition
Volume 152, Issue 1, (January 2013)
Lung Cancer: A Wily Genetic Opponent
Volume 175, Issue 1, Pages 6-9 (September 2018)
Volume 130, Issue 6, (September 2007)
Meiotic Recombination: Genetics’ Good Old Scalpel
Chung-Han Lee, Roman Yelensky, Karin Jooss, Timothy A. Chan 
Volume 18, Issue 8, Pages (August 2010)
Modeling Transcriptome Dynamics in a Complex World
PARP Inhibitors in Cancer Therapy: Promise, Progress, and Puzzles
Mapping Cancer Origins
Treating Flu with Skin of Frog
Proteins Kinases: Chromatin-Associated Enzymes?
Easy Stress Relief by EZH2
A Penetrating Look at Stochasticity in Development
Volume 143, Issue 6, (December 2010)
HIV and HLA Class I: An Evolving Relationship
Cancer Evolution during Immunotherapy
The Plasticity of Aging: Insights from Long-Lived Mutants
A New Angle on TCR Activation
Suchit Jhunjhunwala, Menno C. van Zelm, Mandy M. Peak, Cornelis Murre 
Releasing the Brakes on Cancer Immunotherapy
Volume 163, Issue 4, (November 2015)
Volume 163, Issue 2, (October 2015)
ATMIN: A New Tumor Suppressor in Developing B Cells
Volume 134, Issue 6, (September 2008)
Marking Emerging β- and γδ-Selected T Cells
In This Issue Cell Volume 145, Issue 3, (April 2011)
Volume 148, Issue 1, (January 2012)
Immunodominant-Peptide Recognition: Beta Testing TCRαβ
No Driver behind the Wheel? Targeting Transcription in Cancer
Presentation transcript:

Applications of Immunogenomics to Cancer X. Shirley Liu, Elaine R. Mardis  Cell  Volume 168, Issue 4, Pages 600-612 (February 2017) DOI: 10.1016/j.cell.2017.01.014 Copyright © 2017 Elsevier Inc. Terms and Conditions

Figure 1 An Overall Workflow for Neoantigen Discovery and Personalized Cancer Vaccine Design Starting from next-generation sequencing of DNA exomes to compare tumor to normal DNA, and of tumor RNA to evaluate gene expression, this figure illustrates the steps outlined in the primer to identify tumor-specific mutant antigens (neoantigens) from NGS data, to evaluate the neoantigens, and to design a personalized neoantigen vaccine. Cell 2017 168, 600-612DOI: (10.1016/j.cell.2017.01.014) Copyright © 2017 Elsevier Inc. Terms and Conditions

Figure 2 Idealized Selection of Mutant-Containing Peptides for Neoantigen Prediction (A) The localized peptides that tile across and contain the mutated amino acid substitution are identified and parsed into the neoantigen prediction pipeline. Each peptide is considered for HLA binding strength relative to its non-mutant (wild-type) counterpart. (B) Shown is the top scoring candidate peptide that was selected across all specified k-mers and between all HLA types that were input to the neoantigen prediction pipeline. Cell 2017 168, 600-612DOI: (10.1016/j.cell.2017.01.014) Copyright © 2017 Elsevier Inc. Terms and Conditions

Figure 3 Structure and Diversity in the T Cell Receptor (A) The mature T cell heterodimer, consisting of α- and β-subunit chains. The α subunit chains consist of variable (V), joining (J), and constant (C) regions, whereas the β subunit includes an additional diversity (D) region. (B) V-D-J recombination and post-transcriptional processing of a TCR-β subunit chain. Cell 2017 168, 600-612DOI: (10.1016/j.cell.2017.01.014) Copyright © 2017 Elsevier Inc. Terms and Conditions