Your browser doesn't support javascript.
loading
Integrating population and single-cell variations in vaccine responses identifies a naturally adjuvanted human immune setpoint.
Mulè, Matthew P; Martins, Andrew J; Cheung, Foo; Farmer, Rohit; Sellers, Brian A; Quiel, Juan A; Jain, Arjun; Kotliarov, Yuri; Bansal, Neha; Chen, Jinguo; Schwartzberg, Pamela L; Tsang, John S.
Afiliación
  • Mulè MP; Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA; NIH-Oxford-Cambridge Scholars Program, Department of Medicine, University of Cambridge, Cambridge, UK.
  • Martins AJ; Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
  • Cheung F; NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
  • Farmer R; NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
  • Sellers BA; NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
  • Quiel JA; NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
  • Jain A; Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
  • Kotliarov Y; NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
  • Bansal N; Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
  • Chen J; NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
  • Schwartzberg PL; National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA; Cell Signaling and Immunity Section, NIAID, NIH, Bethesda, MD, USA.
  • Tsang JS; Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA; NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA. Electronic address: john.tsang@yale.edu.
Immunity ; 57(5): 1160-1176.e7, 2024 May 14.
Article en En | MEDLINE | ID: mdl-38697118
ABSTRACT
Multimodal single-cell profiling methods can capture immune cell variations unfolding over time at the molecular, cellular, and population levels. Transforming these data into biological insights remains challenging. Here, we introduce a framework to integrate variations at the human population and single-cell levels in vaccination responses. Comparing responses following AS03-adjuvanted versus unadjuvanted influenza vaccines with CITE-seq revealed AS03-specific early (day 1) response phenotypes, including a B cell signature of elevated germinal center competition. A correlated network of cell-type-specific transcriptional states defined the baseline immune status associated with high antibody responders to the unadjuvanted vaccine. Certain innate subsets in the network appeared "naturally adjuvanted," with transcriptional states resembling those induced uniquely by AS03-adjuvanted vaccination. Consistently, CD14+ monocytes from high responders at baseline had elevated phospho-signaling responses to lipopolysaccharide stimulation. Our findings link baseline immune setpoints to early vaccine responses, with positive implications for adjuvant development and immune response engineering.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas contra la Influenza / Linfocitos B / Análisis de la Célula Individual Límite: Humans Idioma: En Revista: Immunity Asunto de la revista: ALERGIA E IMUNOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas contra la Influenza / Linfocitos B / Análisis de la Célula Individual Límite: Humans Idioma: En Revista: Immunity Asunto de la revista: ALERGIA E IMUNOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido