Automated Analysis of Flow Cytometry Data to Reduce Inter-Lab Variation in the Detection of Major Histocompatibility Complex Multimer-Binding T Cells.

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第一作者： Natasja Wulff,Pedersen

第一单位： Division of Immunology and Vaccinology, Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.

作者： Natasja Wulff,Pedersen ^[1] ; P Anoop,Chandran ^[2] ; Yu,Qian ^[3] ; Jonathan,Rebhahn ^[4] ; Nadia Viborg,Petersen ^[1] ; Mathilde Dalsgaard,Hoff ^[1] ; Scott,White ^[5] ; Alexandra J,Lee ^[3] ; Rick,Stanton ^[6] ; Charlotte,Halgreen ^[7] ; Kivin,Jakobsen ^[7] ; Tim,Mosmann ^[4] ; Cécile,Gouttefangeas ^[2] ; Cliburn,Chan ^[5] ; Richard H,Scheuermann ^[8] ; Sine Reker,Hadrup ^[1]

作者单位： Division of Immunology and Vaccinology, Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark. ^[1] Department of Immunology, Interfaculty Institute for Cell Biology, University of Tuebingen, Tuebingen, Germany. ^[2] Department of Informatics, J. Craig Venter Institute, La Jolla, CA, United States. ^[3] David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY, United States. ^[4] Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, United States. ^[5] Human Longevity Inc., San Diego, CA, United States. ^[6] Immudex Aps, Copenhagen, Denmark. ^[7] Department of Informatics, J. Craig Venter Institute, La Jolla, CA, United States.;Department of Pathology, University of California, San Diego, La Jolla, CA, United States. ^[8]

关键词 antigen-specific T cells automated gating computational analysis flow cytometry major histocompatibility complex dextramers major histocompatibility complex multimers

DOI 10.3389/fimmu.2017.00858

PMID 28798746

发布时间 2024-06-03

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