MONDAY 18 NOVEMEBER – TUESDAY 19 NOVEMBER
DAY 1:
13:30 - 18:20 Training Seminars in Session
18:20 - 19:30 Welcome Reception
DAY 2:
8:30 - 18:30 Training Seminars in Session
12:45 Lunch Provided
Refreshment breaks and exhibit hall viewing hours also provided.
TS6A: ANTIBODY DEEP SEQUENCING AND SINGLE CELL ANALYSIS
Instructors:
Brandon DeKosky, PhD, Assistant Professor, Department of Chemical Engineering, Department of Pharmaceutical Chemistry, Kansas Vaccine Institute, The University of Kansas
Matías Gutiérrez González, PhD, Postdoctoral Researcher, Pharmaceutical Chemistry, The University of Kansas
ABOUT THIS TRAINING SEMINAR:
In this training seminar, participants will learn about recently developed methods for Next-Generation Sequencing (NGS) and single-cell analysis of antibody repertoires. Part 1 will provide an introduction to antibody repertoires, including genetic background,
generation of diversity, and sequencing technologies. Part 2 will incorporate an introduction and hand-on session on computational tools for analyzing antibody repertoire NGS data. We will focus on pre-processing, analysis, and visualization of data,
along with presentation of existing bioinformatics pipelines available. Part 3 will focus on an overview of the development of newer methods in single-cell analysis of antibody immune responses. The course will be interactive with case studies, participants
will be able to download data and examples. Please bring your computer.
TOPICS TO BE DISCUSSED:
PART I: Introduction to NGS of Antibody Repertoires and Bioinformatics Tools
- General Introduction to Antibody Repertoire Analysis
- Experimental design and considerations
- Data analysis overview
- Hands-on session: Introduction of common computational tools for NGS
PART II: Preprocessing and Analysis of Antibody Repertoire NGS Data
- Hands-on session: Preprocessing data
- Hands-on session: Antibody immune repertoire analysis
- Advanced Methods for NGS Data Analysis
PART III: Recent Advances in Single-Cell Approaches for Antibody Discovery
- NGS sequencing of single B cell populations
- NGS for analysis of library screening results
- Single-B cell functional analyses via NGS
WHO SHOULD ATTEND:
This course is designed for individuals in industry and/or academia who are establishing or learning high-throughput NGS-based technologies for antibody repertoire analysis and antibody discovery. Prior knowledge in the areas of antibody biology and command-line
programming are very helpful, but not required. By the end of the workshop, course participants should have the ability to understand and evaluate experimental options for antibody NGS data acquisition, perform an analysis and visualization of antibody
sequencing data, identify related antibody variants from NGS information, and possess a general understanding of the current scope of NGS-enabled antibody discovery techniques.
INSTRUCTOR BIOGRAPHIES:
Brandon DeKosky, PhD, Assistant Professor, Department of Chemical Engineering, Department of Pharmaceutical Chemistry, Kansas Vaccine Institute, The University of Kansas
Dr. Brandon DeKosky is an Assistant Professor at the University of Kansas Departments of Chemical Engineering and Pharmaceutical Chemistry, where his laboratory leverages recent advances in next-generation DNA sequencing technologies to achieve a more
comprehensive understanding of immune function and accelerate the development of new vaccines and therapeutics. During his graduate research, Dr. DeKosky invented the very first technology for sequencing the antibody proteins encoded by B cells at
the single-cell level, at a massive scale (for example, over 5 million single B cells in a one-day experiment), which reduced cost and enhanced throughput for antibody sequencing by multiple orders of magnitude compared to traditional antibody discovery
platforms. Dr. DeKosky also pioneered the associated bioinformatic methods for rapid statistical analysis of the very large datasets generated by this approach. Ongoing efforts in the DeKosky lab, supported by an NIH Director’s Early Independence
Award and a United States Department of Defense Career Development Award, and focus on expanding our ability to determine the mechanisms of protection for human vaccines and to develop novel and improved targeted human therapeutics.
Matías Gutiérrez González, PhD, Postdoctoral Researcher, Pharmaceutical Chemistry, The University of Kansas
Matías is a postdoctoral fellow at the University of Kansas, currently conducting research in the DeKosky Immune Engineering Lab. He graduated with his PhD from the Universidad de Chile in 2017.
Training Seminar Information
Each CHI Training Seminar offers 1.5 days of instruction with start and stop times for each day shown above and on the Event-at-a-Glance published in the onsite Program & Event Guide. Training Seminars will include morning and afternoon refreshment
breaks, as applicable, and lunch will be provided to all registered attendees on the full day of the class.
Each person registered specifically for the Training Seminar will be provided with a hard copy handbook for the seminar in which they are registered. A limited number of additional handbooks will be available for other delegates who wish to attend the
seminar, but after these have been distributed, no additional books will be available.
Though CHI encourages track hopping between conference programs, we ask that Training Seminars not be disturbed once they have begun. In the interest of maintaining the highest quality learning environment for Training Seminar attendees, and because seminars
are conducted differently than conference programming, we ask that attendees commit to attending the entire program, and not engage in track hopping, as to not disturb the hands-on style instruction being offered to the other participants.
