| Title |
Focused Evolution of HIV-1 Neutralizing Antibodies Revealed by Structures and Deep Sequencing
|
|---|---|
| Published in |
Science, August 2011
|
| DOI | 10.1126/science.1207532 |
| Pubmed ID | |
| Authors |
Xueling Wu, Tongqing Zhou, Jiang Zhu, Baoshan Zhang, Ivelin Georgiev, Charlene Wang, Xuejun Chen, Nancy S. Longo, Mark Louder, Krisha McKee, Sijy O’Dell, Stephen Perfetto, Stephen D. Schmidt, Wei Shi, Lan Wu, Yongping Yang, Zhi-Yong Yang, Zhongjia Yang, Zhenhai Zhang, Mattia Bonsignori, John A. Crump, Saidi H. Kapiga, Noel E. Sam, Barton F. Haynes, Melissa Simek, Dennis R. Burton, Wayne C. Koff, Nicole A. Doria-Rose, Mark Connors, NISC Comparative Sequencing Program, James C. Mullikin, Gary J. Nabel, Mario Roederer, Lawrence Shapiro, Peter D. Kwong, John R. Mascola |
| Abstract |
Antibody VRC01 is a human immunoglobulin that neutralizes about 90% of HIV-1 isolates. To understand how such broadly neutralizing antibodies develop, we used x-ray crystallography and 454 pyrosequencing to characterize additional VRC01-like antibodies from HIV-1-infected individuals. Crystal structures revealed a convergent mode of binding for diverse antibodies to the same CD4-binding-site epitope. A functional genomics analysis of expressed heavy and light chains revealed common pathways of antibody-heavy chain maturation, confined to the IGHV1-2*02 lineage, involving dozens of somatic changes, and capable of pairing with different light chains. Broadly neutralizing HIV-1 immunity associated with VRC01-like antibodies thus involves the evolution of antibodies to a highly affinity-matured state required to recognize an invariant viral structure, with lineages defined from thousands of sequences providing a genetic roadmap of their development. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 21% |
| Japan | 5 | 17% |
| Canada | 1 | 3% |
| Sweden | 1 | 3% |
| India | 1 | 3% |
| Turkey | 1 | 3% |
| Unknown | 14 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 83% |
| Scientists | 5 | 17% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 3% |
| United Kingdom | 8 | 1% |
| Italy | 2 | <1% |
| Canada | 2 | <1% |
| South Africa | 1 | <1% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Mexico | 1 | <1% |
| India | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 549 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 139 | 24% |
| Researcher | 135 | 23% |
| Student > Bachelor | 51 | 9% |
| Student > Master | 43 | 7% |
| Professor > Associate Professor | 28 | 5% |
| Other | 107 | 18% |
| Unknown | 80 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 242 | 42% |
| Biochemistry, Genetics and Molecular Biology | 80 | 14% |
| Immunology and Microbiology | 60 | 10% |
| Medicine and Dentistry | 40 | 7% |
| Computer Science | 16 | 3% |
| Other | 62 | 11% |
| Unknown | 83 | 14% |