| Literature DB >> 25524709 |
Huafeng Xu1, Aaron G Schmidt, Timothy O'Donnell, Matthew D Therkelsen, Thomas B Kepler, M Anthony Moody, Barton F Haynes, Hua-Xin Liao, Stephen C Harrison, David E Shaw.
Abstract
Affinity maturation, the process in which somatic hypermutation and positive selection generate antibodies with increasing affinity for an antigen, is pivotal in acquired humoral immunity. We have studied the mechanism of affinity gain in a human B-cell lineage in which two main maturation pathways, diverging from a common ancestor, lead to three mature antibodies that neutralize a broad range of H1 influenza viruses. Previous work showed that increased affinity in the mature antibodies derives primarily from stabilization of the CDR H3 loop in the antigen-binding conformation. We have now used molecular dynamics simulations and existing crystal structures to identify potentially key maturation mutations, and we have characterized their effects on the CDR H3 loop and on antigen binding using further simulations and experimental affinity measurements, respectively. In the two maturation pathways, different contacts between light and heavy chains stabilize the CDR H3 loop. As few as two single-site mutations in each pathway can confer substantial loop stability, but none of them confers experimentally detectable stability on its own. Our results support models of the germinal center reaction in which two or more mutations can occur without concomitant selection and show how divergent pathways have yielded functionally equivalent antibodies.Entities:
Keywords: acquired immunity; kinetics measurements; molecular dynamics; protein evolution; protein-protein interaction
Mesh:
Substances:
Year: 2015 PMID: 25524709 PMCID: PMC4368477 DOI: 10.1002/prot.24745
Source DB: PubMed Journal: Proteins ISSN: 0887-3585
Figure 1Maturation of the CH65 lineage. (A) Inferred phylogenetic tree of the antibodies in the CH65 lineage. (B) Sequences for a segment of the antibody light chain containing important mutations. The common mutation S29R is boxed. (C) Sequences for a segment of the antibody heavy chain, including the three mutations between UCA and I-2. The complete nucleotide and amino acid sequences are shown in Supporting Information Figure S4.
Figure 2Distinct interactions in two main maturation pathways stabilizing the heavy-chain CDR H3 loop in the CH65 lineage. (A) X-ray crystal structure of CH65–HA complex (PDB ID: 3SM5). The heavy chain is colored in light blue, the light chain in dark blue, HA in light gray, and the CDR H3 loop in orange. The CDR H3 loop inserts into the receptor binding pocket of HA, mimicking the binding of sialic acid. (B) In the CH65 crystal structure, light-chain Y49 forms a cation–π interaction with R104 in the heavy-chain CDR H3, a finding observed with high probability in simulation. Y49 also forms a hydrogen bond with the backbone oxygen of E102H. The hydrogen bond and cation-π interaction are indicated by green lines. (C) In the CH67 crystal structure, R104 projects into the solvent. Hydrogen bonds from R31L to the carbonyl of F110H and from N32H to the carbonyl of A99H (not shown here) might contribute to stabilizing the CDR H3 loop; neither interaction could occur in CH65. (D) A structure from an MD simulation of CH67, in which light-chain D33 forms a salt bridge with R104 in the heavy-chain CDR3. In simulation, D33 forms alternating salt-bridge contacts with R31, as it does in the crystal structure, and with R104; the latter salt-bridge contributes to stabilization. (E) In one simulation of CH65HUCAL, two pairs of water-mediated hydrogen bonds were observed between H33H and G99H and between N35H and Y111H. The geometry of these interactions is compatible with the atomic coordinates in the CH65 crystal structure, although the water molecules are not included in the crystal structure. The simulated structure (shown in light and dark blue) is superimposed on the crystal structure (gray). Water molecules are shown with red (oxygen) and white (hydrogen) balls.
Experimentally Measured Kinetic Rate Constants ka and kd, Equilibrium Dissociation Constant of Fab–HA Binding KD, and Simulation-derived Equilibrium Constant KC Between Nonbinding and Binding Conformations for Various Fabs
| Heavy chain | Light chain | ||||
|---|---|---|---|---|---|
| UCA | UCA | N.B. | N.B. | >100 | 0.02 ± 0.01 |
| I-2 | UCA | N.B. | N.B. | >100 | 0.04 ± 0.02 |
| I-2 | UCAD49Y | N.B. | N.B. | >100 | 0.02 ± 0.01 |
| I-2 | UCAY48C | N.B. | N.B. | >100 | 0.10 ± 0.05 |
| I-2 | UCAD49Y,Y48C | 14 ± 7 | 0.11 ± 1E−2 | 8 ± 4 | 0.20 ± 0.07 |
| I-2 | UCAD49Y,Y48C,S29R | 12 ± 2 | 0.120 ± 5E−3 | 10 ± 2 | 0.60 ± 0.09 |
| I-2R104N | UCAD49Y,Y48C | 6 ± 2 | 0.20 ± 1E−2 | 31 ± 9 | 0.10 ± 0.04 |
| UCA | CH65 | 58 ± 8 | 0.067 ± 3E−3 | 1.2 ± 0.2 | 3 ± 2 |
| I-2 | CH65 | 31 ± 2 | 0.0320 ± 7E−4 | 1.02 ± 0.06 | 0.10 ± 0.04 |
| CH65 | UCA | 25 ± 5 | 0.082 ± 5E−3 | 3.3 ± 0.7 | 0.010 ± 0.004 |
| CH65 | CH65R29S | 26 ± 2 | 0.0320 ± 8E−4 | 1.21 ± 0.09 | 0.2 ± 0.2 |
| CH65 | CH65Y49D,C48Y | 29 ± 2 | 0.0280 ± 6E−4 | 0.97 ± 0.06 | 0.07 ± 0.03 |
| CH65 | CH65 | 42.9 ± 0.8 | 0.0130 ± 2E−4 | 0.30 ± 0.01 | 0.3 ± 0.1 |
| I-2 | UCAH33D | N.B. | N.B. | >100 | 0.010 ± 0.004 |
| I-2 | UCAS31R | N.B. | N.B. | >100 | 0.07 ± 0.03 |
| I-2 | UCAH33D,S31R | 14 ± 3 | 0.18 ± 1E−2 | 13 ± 3 | 0.3 ± 0.1 |
| I-2 | UCAH33D,S31R,S29R | N.B. | N.B. | >100 | 0.005 ± 0.003 |
| I-2R104N | UCAH33D,S31R | N.B. | N.B. | >100 | 0.010 ± 0.008 |
| UCA | CH67 | 70 ± 30 | 0.18 ± 2E−2 | 3 ± 1 | 0.2 ± 0.2 |
| I-2 | CH67 | 38.4 ± 0.7 | 0.0200 ± 2E−4 | 0.52 ± 0.01 | 0.05 ± 0.03 |
| CH67 | UCA | N.B. | N.B. | >100 | 0.05 ± 0.03 |
| CH67 | CH67R29S | 52 ± 1 | 0.0190 ± 3E−4 | 0.37 ± 0.01 | 0.20 ± 0.07 |
| CH67 | CH67D33H,R31S | 50 ± 10 | 0.067 ± 5E−3 | 1.5 ± 0.3 | 0.2 ± 0.06 |
| CH67 | CH67 | 150 ± 20 | 0.0400 ± 2E−4 | 0.26 ± 0.03 | 1.0 ± 0.8 |
“N.B.” indicates antibodies that bound HA at a strength below the detection limit (∼100 µM). The standard deviation is reported for each value.
Figure 3Log-log plot of association rate constants ka versus the fraction of antigen-binding conformation f of various mutant Fabs. (A) All Fabs studied by MD simulations (Tables I and Supporting Information SI). The qualitative agreement between fC estimated from MD simulations and ka measured in kinetic experiments supports the finding that maturation in the CH65 lineage is driven by the stabilization of the CDR H3 loop in the binding conformation. The Pearson correlation coefficient between fC and ka, when both are available, is 0.26; perfect correlation is not to be expected, because factors other than CDR H3 loop stability also contribute to ka. Fabs whose affinities are below the interferometry sensitivity limit are represented by gray circles at an arbitrary vertical position, because their ka values are unknown. The mature antibodies are colored green. The hybrid Fab CH65HUCAL binds HA with intermediate affinity despite the low fC value estimated from MD simulations; its low fC value might be due to a lack of convergance of the MD simulations of finite length. (B) and (C) highlight the effects of mutations in CH65 (B) and CH67 (C) branches. The solid black arrows correspond to “forward” mutations (i.e., mutations that occurred in the maturation from the UCA to the mature antibody). The dashed arrows correspond to “reverse” mutations (i.e., mutations from the mature antibody to the UCA). The dotted black arrows correspond to the artificial mutation R104NH. Fabs whose affinities are below the interferometry sensitivity limit are shown in the gray box as bands at their respective fC values.