The Road to an HIV Vaccine

Page 92

92BR

60 40 20

10-4

10-2

100

H330A N229R T244S V85A N332A WT

80 60 40 20 0 10-6

102

10-4

H330A K46R N229R R419A T244S V85V BR N332A WT

60 40 20

10-4

10-2

100

Per Cent Neutralization

Per Cent Neutralization

92BR

80

0 10-6

102

H330A K46R N229R R419A T244S V85V N332A WT

60 40 20

10-2

100

PGT-123 (ng/μL)

102

Per Cent Neutralization

Per Cent Neutralization

92BR

10-4

60 40 20 0 10-6

10-4

H330A N229R T244S V85A N332A WT

80 60 40 20 0 10-6

10-4

10-2

100

H330A N229R T244S V85A N332A WT

60 40 20

10-4

10-2

100

PGT-123 (ng/μL)

102

H330A K46R N229R R419A T244S V85A N332A WT

80 60 40 20 0 10-6

10-4

10-2

100

102

PGT-122 (ng/μL)

80

0 10-6

100

JRCSF

100

102

IAVIC22

100

10-2

PGT-121 (ng/μL)

PGT-122 (ng/μL)

80

0 10-6

H330A K46R N229R R419A T244S V85A N332A WT

80

102

IAVIC22

100

PGT-122 (ng/μL)

100

100

JRCSF

100

PGT-121 (ng/μL)

PGT-121 (ng/μL)

100

10-2

Per Cent Neutralization

0 10-6

IAVIC22

100

Per Cent Neutralization

H330A K46R N229R R419A T244S V85V N332A WT

80

102

Per Cent Neutralization

100

Per Cent Neutralization

Per Cent Neutralization

4.3 results

JRCSF

100

H330A K46R N229R R419A T244S V85A N332A WT

80 60 40 20 0 10-6

10-4

10-2

100

102

PGT-123 (ng/μL)

Figure 4.6: Single Mutant Neutralization Curves Single point mutations were introduced into plasmids containing the HIV Env gene using site-directed mutagenesis. Mutant Env plasmids were then cotransfected with plasmids containing an Env-deleted HIV genome backbone (HIV∆Env). Neutralization of mutant viruses was then assessed after treatment with PGT antibodies 121, 122, and 123 in order to determine which residues were critical in antibody recognition and binding. Here we show that none of the mutants produced led to a knock-out of neutralization with the exception of N332A, a mutation that removes the glycan at position 332. This glycan has already been found to be conformationally important for PGT121-123, even though these antibodies primarily bind peptide epitopes. These data suggest that the computational model will require additional refinement before it can be used as a predictive tool for antibody escape.

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