HIV escapes human immune pressure through a single mutation in V2 domain of envelope protein leading to emergence of mutant-specific broadly reactive antibodies, a phenomenon recapitulated in combinatorial vaccine design.

The immune Synergistic/Antagonistic Interaction Learner (iSAIL) resource has the capacity to generate insight into combinatorial immunity, help guide hypothesis generation and further experimentation relevant to basic research and drug therapeutics.

COVID-19 mRNA vaccine-elicited T cells recognize variants of concern and phenotypically differ depending on number of vaccine doses and prior SARS-CoV-2 infection status.

Targeting the mothers, and other household members, of newborns with a mixture of respiratory syncytial virus (RSV) vaccines is both efficient and effective at reducing RSV hospitalizations.

The local fitness landscape of an antigenic region in influenza neuraminidase was determined by combinatorial mutagenesis and next-generation sequencing.

The odor-elicited responses of olfactory receptor neurons consist of a discrete set of four spike pattern motifs, each with distinct adaptation properties, together amplifying distinctions between similar and temporally complex chemical inputs such as odor plumes.

Combinatorial expression patterns of δ-Pcdhs are defined within single neurons, and in vitro assays are employed to establish guiding principles used by this gene family to mediate cell adhesion.

Diagnosing the presence and clinical significance of prostate cancer can be achieved using AI-based analysis of peripheral blood natural killer (NK) cell subset profiles.

A computational systems biology approach identifies a gene network module associated with single-cell mechanical phenotype changes across diverse mouse and human systems, with implications for on-demand engineering of cell stiffness.

A new cross-species machine learning-based strategy is applied to find enhancers that specifically label parvalbumin neurons in the mouse and macaque.