Single-cell NAD(H) levels predict clonal lymphocyte expansion dynamics

Lucien H. Turner(Children's Hospital of Philadelphia), Tran Ngoc Van Le(Children's Hospital of Philadelphia), Eric Cross(Children's Hospital of Philadelphia), Clémence Queriault(Children's Hospital of Philadelphia), Montana Knight(Children's Hospital of Philadelphia), Krittin Trihemasava(Children's Hospital of Philadelphia), James G. Davis(University of Pennsylvania), Patrick M. Schaefer(Children's Hospital of Philadelphia), Janet Nguyen(Children's Hospital of Philadelphia), Jimmy P. Xu(Translational Therapeutics (United States)), Brian P. Goldspiel(Children's Hospital of Philadelphia), Elise Hall(Children's Hospital of Philadelphia), Kelly Rome(Children's Hospital of Philadelphia), Michael Scaglione(Children's Hospital of Philadelphia), Joel Eggert(Emory University), Byron B. Au‐Yeung(Emory University), Douglas C. Wallace(Children's Hospital of Philadelphia), Clementina Mesaros(Translational Therapeutics (United States)), Joseph A. Baur(University of Pennsylvania), Will Bailis(Children's Hospital of Philadelphia)
Science Immunology
March 15, 2024
Cited by 19Open Access
Full Text

Abstract

Adaptive immunity requires the expansion of high-affinity lymphocytes from a heterogeneous pool. Whereas current models explain this through signal transduction, we hypothesized that antigen affinity tunes discrete metabolic pathways to license clonal lymphocyte dynamics. Here, we identify nicotinamide adenine dinucleotide (NAD) biosynthesis as a biochemical hub for the T cell receptor affinity-dependent metabolome. Through this central anabolic role, we found that NAD biosynthesis governs a quiescence exit checkpoint, thereby pacing proliferation. Normalizing cellular NAD(H) likewise normalizes proliferation across affinities, and enhancing NAD biosynthesis permits the expansion of lower affinity clones. Furthermore, single-cell differences in NAD(H) could predict division potential for both T and B cells, before the first division, unmixing proliferative heterogeneity. We believe that this supports a broader paradigm in which complex signaling networks converge on metabolic pathways to control single-cell behavior.


Related Papers

No related papers found

Powered by citation graph analysis