Upcoming AIRR Community webinars
New webinars are coming soon!
On Demand Webinars
Human B cells play a fundamental role in the adaptive immune response to infection and vaccination, as well as the pathology of allergies and many autoimmune diseases. Central to all of these processes is the fact that B cells are an evolutionary system, and undergo rapid somatic hypermutation and antigen-driven selection as part of the adaptive immune response. The similarities between this B cell response and evolution by natural selection have made phylogenetic methods a powerful means of characterizing important processes, such as immunological memory formation. Recent methodological work has led to the development of phylogenetic methods that adjust for the unique features of B cell evolution. Further, advances in single cell sequencing can now provide an unprecedented resolution of information, including linked heavy and light chain data, as well as the associated transcriptional states of individual B cells. In this webinar, we show how single cell information can be integrated into B cell phylogenetic analysis using the Immcantation suite (Immcantation.org). Beginning with processed single cell RNA-seq (scRNA-seq) + BCR data from 10X Genomics, we will show how cell type annotations can be associated with BCR sequences, how clonal clusters can be identified, and how B cell phylogenetic trees can be built and visualized using these data sources.
Speaker info:
Kenneth Hoehn is a postdoctoral associate in Steven Kleinstein’s lab at Yale University, where he works on developing computational evolutionary approaches for studying B cell biology during infection, vaccination, and autoimmune disease.
Susanna Marquez is a bioinformatician in the computational immunology lab of Steven Kleinstein at Yale University, where she develops workflows for the analysis of AIRR-seq data, and provides support to develop and maintain the Immcantation suite.
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Speaker: Vadim I. Nazarov
In this webinar, Vadim I. Nazarov demonstrates the applications of AIRR data analysis to immunotherapy development and how R package Immunarch simplifies this type of work. The webinar’s goal is to enable listeners to apply AIRR bioinformatics to real-world problems and identify biomarkers that inform decision-making in pre-clinical and clinical studies. AIRR analysis has been a particularly challenging area of research since it is highly interdisciplinary. Immunarch R package helps standardize the analysis and provides quick access to advanced methods, letting you focus more on research rather than coding. Key topics covered on the webinar: TCR or BCR clonality and diversity as biomarkers of clinical activity in cellular immunotherapy studies, clonotype convergence and public clonotype analysis, annotation of clonotype associations with disease, V(D)J gene usage analysis, clonotype tracking to characterize CAR-T or TCR-T persistence and expansion, which inform the choice of optimal design for TCR-based immunotherapy.
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Speaker: Jamie Scott, MD, PhD, Professor Emerita, Simon Fraser University, Canada
In this 2-part workshop on the fundamentals of the immune system, Dr. Jamie Scott first provides an overview of humoral and cellular immunity, and the basic structure of the immune system, including its cells, tissues and compartments, along with the “superhighway” of the immune system: the circulatory and lymphatic systems. In that context, innate and adaptive immune systems and their interaction, and the general timing and dynamics of immune responses will be presented.
The processes of lymphocyte development, including the various B- and T-cell subsets, positive and negative selection, and the genetic basis of B-cell and T-cell receptor diversification, will be presented to provide a clear idea of what adaptive-immune receptor repertoires (AIRRs) are, and in general terms, how they are currently assessed via high-throughput sequencing.
Dr. Scott then cover the signaling, activation, proliferation and differentiation of T-cell and B-cell clones in the context of lymphoid compartments where antigen is concentrated and presented to naïve and memory B and T cells. The role of co-stimulation in determining the type immune response generated is emphasized.
In Part II, Dr. Scott reviews the orchestration of systemic and mucosal immune responses, including the roles of tolerance and inflammation in these processes. Examples of immune responses to vaccines, chronic viral infection, and/or cancer, as well as autoimmunity, will be presented as variations on a common theme, reiterating the dynamics of the immune response. Some engineered immunotherapies, such as therapeutic antibodies, CAR-T cells and dendritic-cell vaccines, are introduced as well.
The importance of AIRR-sequencing data to our understanding of immune responses is emphasized throughout the latter half of this workshop.
View the On Demand recording of Part I: Organization of the immune system.
View the On Demand recording of Part II: The immune system in action
View the agenda for Parts I & II
View the Presentation Slides for Part I
View the Presentation Slides for Part II
View Questions and Answers from the live webcast
Speakers:
- Dr. Felix Breden, Simon Fraser University
- Dr. Brian Corrie, Simon Fraser University
- Dr. Kira Neller, Simon Fraser University
- Dr. Scott Christley, University of Texas Southwestern Medical Center
The adaptive immune system has evolved a unique molecular diversification mechanism designed to produce a highly diverse set of antigen receptors, necessary to recognize and remove the ever-changing array of pathogens an individual will encounter during their lifetime (e.g., novel coronaviruses). The sheer immensity of each individuals Adaptive Immune Receptor Repertoires (antibody/B-cell and T-cell sequences, or AIRR-seq data) present challenges for producing, storing, sharing, and analyzing these data. The AIRR Community is a group of immunogeneticists, bioinformaticians, and experts in ethics and legal issues of data sharing who joined together to develop standards and protocols for sharing and analyzing these data. Two products of the AIRR-C are the miAIRR standards for storing AIRR-seq data in a common format, and the AIRR Data Commons (ADC), a set of geographically distributed repositories of AIRR-seq data, all adopting these community standards. We are dedicated to the belief that sharing these AIRR-seq data through the AIRR Data Commons will greatly increase their utility for biomedical research and patient care.
The ADC Webinar will discuss the benefits to openly sharing and analyzing these data in an interoperable manner, including access to the >4 billion receptor rearrangements presently queryable through the ADC. We will present demos of how to add your data to the ADC, how to query data through VDJServer and the iReceptor Gateway and preview upcoming analysis tools and repositories being added to the ADC. We will include plenty of time for questions and answers from the audience, and look forward to explaining this ever-expanding resource to our community.
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Speaker: Prof. Victor Greiff, University of Oslo
High-throughput sequencing has enabled the capture of adaptive immune receptor repertoire (AIRR) data at unprecedented depth and precision. This webinar gives an in-depth walk-through of best practices to conceive, analyze and perform AIRR studies for answering fundamental immunological questions as well as discovering novel immunodiagnostic biomarkers and design (therapeutic) immune receptors. Specifically, Dr. Greiff addresses current approaches to perform AIRR-compliant AIRR data processing encompassing bulk and single-cell approaches and experimental and bioinformatics quality control. Furthermore, he summarizes the computational methods that have been recently developed to deconstruct the high-dimensional complexity of immune receptor repertoires, e.g., 1) diversity-, 2) phylogenetic-, 3) networks- and 4) machine learning-based methods that have been applied to dissect and understand the diversity, architecture, evolution and antigen specificity of immune repertoires. Finally, Dr. Greiff discusses experimental and computational methods in light of their underlying assumptions, limitations and pitfalls and highlight promising avenues of future research in basic and applied AIRR systems immunology.
