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Mining the antibodyome for HIV-1-neutralizing antibodies with next-generation sequencing and phylogenetic pairing of heavy/light chains.

Publication ,  Journal Article
Zhu, J; Ofek, G; Yang, Y; Zhang, B; Louder, MK; Lu, G; McKee, K; Pancera, M; Skinner, J; Zhang, Z; Parks, R; Eudailey, J; Lloyd, KE ...
Published in: Proc Natl Acad Sci U S A
April 16, 2013

Next-generation sequencing of antibody transcripts from HIV-1-infected individuals with broadly neutralizing antibodies could provide an efficient means for identifying somatic variants and characterizing their lineages. Here, we used 454 pyrosequencing and identity/divergence grid sampling to analyze heavy- and light-chain sequences from donor N152, the source of the broadly neutralizing antibody 10E8. We identified variants with up to 28% difference in amino acid sequence. Heavy- and light-chain phylogenetic trees of identified 10E8 variants displayed similar architectures, and 10E8 variants reconstituted from matched and unmatched phylogenetic branches displayed significantly lower autoreactivity when matched. To test the generality of phylogenetic pairing, we analyzed donor International AIDS Vaccine Initiative 84, the source of antibodies PGT141-145. Heavy- and light-chain phylogenetic trees of PGT141-145 somatic variants also displayed remarkably similar architectures; in this case, branch pairings could be anchored by known PGT141-145 antibodies. Altogether, our findings suggest that phylogenetic matching of heavy and light chains can provide a means to approximate natural pairings.

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Published In

Proc Natl Acad Sci U S A

DOI

EISSN

1091-6490

Publication Date

April 16, 2013

Volume

110

Issue

16

Start / End Page

6470 / 6475

Location

United States

Related Subject Headings

  • Sequence Alignment
  • Phylogeny
  • Neutralization Tests
  • Molecular Sequence Data
  • Models, Molecular
  • Immunoglobulin Light Chains
  • Immunoglobulin Heavy Chains
  • Humans
  • High-Throughput Nucleotide Sequencing
  • HIV-1
 

Citation

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Zhu, J., Ofek, G., Yang, Y., Zhang, B., Louder, M. K., Lu, G., … Kwong, P. D. (2013). Mining the antibodyome for HIV-1-neutralizing antibodies with next-generation sequencing and phylogenetic pairing of heavy/light chains. Proc Natl Acad Sci U S A, 110(16), 6470–6475. https://doi.org/10.1073/pnas.1219320110
Zhu, Jiang, Gilad Ofek, Yongping Yang, Baoshan Zhang, Mark K. Louder, Gabriel Lu, Krisha McKee, et al. “Mining the antibodyome for HIV-1-neutralizing antibodies with next-generation sequencing and phylogenetic pairing of heavy/light chains.Proc Natl Acad Sci U S A 110, no. 16 (April 16, 2013): 6470–75. https://doi.org/10.1073/pnas.1219320110.
Zhu J, Ofek G, Yang Y, Zhang B, Louder MK, Lu G, et al. Mining the antibodyome for HIV-1-neutralizing antibodies with next-generation sequencing and phylogenetic pairing of heavy/light chains. Proc Natl Acad Sci U S A. 2013 Apr 16;110(16):6470–5.
Zhu, Jiang, et al. “Mining the antibodyome for HIV-1-neutralizing antibodies with next-generation sequencing and phylogenetic pairing of heavy/light chains.Proc Natl Acad Sci U S A, vol. 110, no. 16, Apr. 2013, pp. 6470–75. Pubmed, doi:10.1073/pnas.1219320110.
Zhu J, Ofek G, Yang Y, Zhang B, Louder MK, Lu G, McKee K, Pancera M, Skinner J, Zhang Z, Parks R, Eudailey J, Lloyd KE, Blinn J, Alam SM, Haynes BF, Simek M, Burton DR, Koff WC, NISC Comparative Sequencing Program, Mullikin JC, Mascola JR, Shapiro L, Kwong PD. Mining the antibodyome for HIV-1-neutralizing antibodies with next-generation sequencing and phylogenetic pairing of heavy/light chains. Proc Natl Acad Sci U S A. 2013 Apr 16;110(16):6470–6475.
Journal cover image

Published In

Proc Natl Acad Sci U S A

DOI

EISSN

1091-6490

Publication Date

April 16, 2013

Volume

110

Issue

16

Start / End Page

6470 / 6475

Location

United States

Related Subject Headings

  • Sequence Alignment
  • Phylogeny
  • Neutralization Tests
  • Molecular Sequence Data
  • Models, Molecular
  • Immunoglobulin Light Chains
  • Immunoglobulin Heavy Chains
  • Humans
  • High-Throughput Nucleotide Sequencing
  • HIV-1