This isolation of exceptionally broad anti-HIV antibodies has revealed sites of vulnerability on the virus?s surface protein, Env. Major efforts are now underway to elicit such antibodies with vaccines, or to use the antibodies directly as therapeutics. The design of such vaccines and therapies requires carefully characterizing how monoclonal antibodies and polyclonal sera recognize Env. We have recently developed a new deep-sequencing based approach to functionally characterize antibody-Env interactions on a large scale. Here we will greatly extend the utility of this approach by making it possible to easily and completely map the effects of all amino-acid mutations on viral recognition by both neutralizing and non- neutralizing antibodies or sera. Specifically, we will: 1) Create libraries of viruses carrying all single amino-acid mutations to Env, as well as many combinations of mutations. These libraries will be designed in a way that enables them to be easily and cheaply characterized by deep sequencing. 2) Develop methods to use the libraries to efficiently map how mutations to Env affect virus recognition by neutralizing and non-neutralizing antibodies and sera. 3) Create algorithms and software to analyze and visualize the ?Big Data? sets generated by the mappings. We will use these tools to completely map how Env mutations affect recognition by important monoclonal antibodies, as well as natural and vaccine-induced plasma responses. We will also distribute the experimental and computational tools so that they can be easily used by the entire HIV research community. Overall, this work will develop powerful methods to functionally map the antigenic effects of mutations to HIV. Such maps will aid in the basic study of HIV and inform the design of vaccines and therapeutics.

Public Health Relevance

We will develop an efficient method to map how mutations to HIV?s envelope protein affect the virus?s sensitivity to antibodies and sera. This work will aid in characterizing immunity to this medically important virus, and will help inform the design of vaccines and therapeutics.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI140891-03
Application #
10059172
Study Section
HIV/AIDS Vaccines Study Section (VACC)
Program Officer
Mcdonald, David Joseph
Project Start
2018-12-07
Project End
2023-11-30
Budget Start
2020-12-01
Budget End
2021-11-30
Support Year
3
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109