Deciphering the rules of antibody repertoire complexity using a systems biology approach

  • Victor Greiff (Organiser)

Activity: Participating in or organising an eventOrganising a conference, workshop, ...

Description

Antibody repertoires ensure highly specific host protection. They thereby lay the foundation for many of the most prominent medical success stories such as vaccines, therapeutic monoclonal antibodies and immunodiagnostics. However, as of yet, the immense complexity of antibody repertoires (>1020 potential unique antibodies) prevented the quantitative investigation of the molecular rules, which govern their formation. Deciphering these rules is crucial for developing novel precision vaccine and therapeutic approaches. The recent advent of high-throughput sequencing constituted a paradigm-changing event for the rapidly expanding field of systems immunology as it has enabled for the first time to interrogate antibody repertoire diversity in its entirety. We have recently created one of the largest antibody repertoire high-throughput sequencing datasets to date. Combining this dataset with mathematical simulation, high-performance computing, machine learning and graph theory, I will present in my talk our progress in answering two of the longest-standing questions in the field of antibody immunology: (i) is the immense diversity of antibody repertoires predictable and (ii) what is the architecture of antibody repertoires?
Period22 Aug 2016
Event typeGuest talk
LocationAustriaShow on map

Fields of science

  • 305 Other Human Medicine, Health Sciences
  • 102019 Machine learning
  • 304 Medical Biotechnology
  • 303 Health Sciences
  • 302 Clinical Medicine
  • 301 Medical-Theoretical Sciences, Pharmacy
  • 102 Computer Sciences
  • 106005 Bioinformatics
  • 106007 Biostatistics
  • 304003 Genetic engineering
  • 106041 Structural biology
  • 102010 Database systems
  • 101018 Statistics
  • 106023 Molecular biology
  • 106002 Biochemistry
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 101004 Biomathematics
  • 102004 Bioinformatics

JKU Focus areas

  • Health System Research
  • Computation in Informatics and Mathematics
  • Clinical Research on Aging
  • Nano-, Bio- and Polymer-Systems: From Structure to Function
  • Medical Sciences (in general)