Ming Tian

The paper shows that B cell receptor signaling sets limits on the selection of functional mutations in antibodies, with mid-affinity antigens showing optimal neutralization.

The paper shows that boosting at the same site as the initial immunization preferentially engages bnAb lineage precursors in secondary germinal centers, while contralateral boosting recruits naive and non-specific memory B cells.

This paper develops six mouse models with engineered antibody repertoires to study and optimize strategies for inducing HIV-1 broadly neutralizing antibodies.

This paper develops a mouse model to study and overcome challenges in maturing HIV-1 broadly neutralizing antibodies by expressing a stalled VRC01 intermediate in germinal center B cells.

This study uses molecular dynamics simulations to design HIV-1 immunogens that select for specific mutations in broadly neutralizing antibodies.

TrieDedup is a trie-based deduplication algorithm that efficiently handles ambiguous bases in high-throughput sequencing by reducing memory usage and increasing speed compared to pairwise comparison methods.