Optimized intracellular flow cytometry panel enables CD4 and CD8 T cell cytokine profiling in Syrian hamsters.

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Bibliographic Details
Title: Optimized intracellular flow cytometry panel enables CD4 and CD8 T cell cytokine profiling in Syrian hamsters.
Authors: Ataç T; Center for Vaccine Research, Department of Infectious Disease Immunology, Statens Serum Institut, Copenhagen, Denmark., Hansen JS; Center for Vaccine Research, Department of Infectious Disease Immunology, Statens Serum Institut, Copenhagen, Denmark; Novo Nordisk Foundation Initiative for Vaccines and Immunity, NIVI Research Center, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark., Isling LK; Center for Vaccine Research, Department of Vaccine Development, Statens Serum Institut, Copenhagen, Denmark., Pedersen GK; Center for Vaccine Research, Department of Infectious Disease Immunology, Statens Serum Institut, Copenhagen, Denmark; Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Novo Nordisk Foundation Initiative for Vaccines and Immunity, NIVI Research Center, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark., Wørzner K; Center for Vaccine Research, Department of Infectious Disease Immunology, Statens Serum Institut, Copenhagen, Denmark; Novo Nordisk Foundation Initiative for Vaccines and Immunity, NIVI Research Center, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark. Electronic address: kawo@ssi.dk.
Source: Journal of immunological methods [J Immunol Methods] 2026 Jun 28; Vol. 549, pp. 114084. Date of Electronic Publication: 2026 Jun 28.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 1305440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7905 (Electronic) Linking ISSN: 00221759 NLM ISO Abbreviation: J Immunol Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7905
DOI:10.1016/j.jim.2026.114084