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A specific and portable gene expression program underlies antigen archiving by lymphatic endothelial cells.
Sheridan, Ryan M; Doan, Thu A; Lucas, Cormac; Forward, Tadg S; Uecker-Martin, Aspen; Morrison, Thomas E; Hesselberth, Jay R; Tamburini, Beth A Jirón.
Afiliación
  • Sheridan RM; Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative, University of Colorado School of Medicine.
  • Doan TA; Department of Medicine, Division of Gastroenterology and Hepatology, University of Colorado School of Medicine.
  • Lucas C; Immunology Graduate Program, University of Colorado School of Medicine.
  • Forward TS; Department of Immunology and Microbiology, Aurora, CO, USA.
  • Uecker-Martin A; Department of Medicine, Division of Gastroenterology and Hepatology, University of Colorado School of Medicine.
  • Morrison TE; Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative, University of Colorado School of Medicine.
  • Hesselberth JR; Department of Immunology and Microbiology, Aurora, CO, USA.
  • Tamburini BAJ; Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative, University of Colorado School of Medicine.
bioRxiv ; 2024 Apr 02.
Article en En | MEDLINE | ID: mdl-38617225
ABSTRACT
Antigens from protein subunit vaccination traffic from the tissue to the draining lymph node, either passively via the lymph or carried by dendritic cells at the local injection site. Lymph node (LN) lymphatic endothelial cells (LEC) actively acquire and archive foreign antigens, and archived antigen can be released during subsequent inflammatory stimulus to improve immune responses. Here, we answer questions about how LECs achieve durable antigen archiving and whether there are transcriptional signatures associated with LECs containing high levels of antigen. We used single cell sequencing in dissociated LN tissue to quantify antigen levels in LEC and dendritic cell populations at multiple timepoints after immunization, and used machine learning to define a unique transcriptional program within archiving LECs that can predict LEC archiving capacity in independent data sets. Finally, we validated this modeling, showing we could predict antigen archiving from a transcriptional dataset of CHIKV infected mice and demonstrated in vivo the accuracy of our prediction. Collectively, our findings establish a unique transcriptional program in LECs that promotes antigen archiving that can be translated to other systems.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article