accelerated and improved quantification of lymphocytic choriomeningitis virus (lcmv) titers by flow cytometry加速和改善量化的淋巴细胞性脉络丛脑膜炎病毒通过流式细胞术(淋巴细胞脉络丛脑膜炎病毒)滴度.pdfVIP
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accelerated and improved quantification of lymphocytic choriomeningitis virus (lcmv) titers by flow cytometry加速和改善量化的淋巴细胞性脉络丛脑膜炎病毒通过流式细胞术(淋巴细胞脉络丛脑膜炎病毒)滴度
Accelerated and Improved Quantification of
Lymphocytic Choriomeningitis Virus (LCMV) Titers by
Flow Cytometry
Darlynn Korns Johnson1,2*, Dirk Homann1,2*
1 Integrated Department of Immunology, University of Colorado Denver and National Jewish Health, Denver, Colorado, United States of America, 2 Department of
Anesthesiology, University of Colorado Denver, Aurora, Colorado, United States of America
Abstract
Lymphocytic choriomeningitis virus (LCMV), a natural murine pathogen, is a member of the Arenavirus family, may cause
atypical meningitis in humans, and has been utilized extensively as a model pathogen for the study of virus-induced disease
and immune responses. Historically, viral titers have been quantified by a standard plaque assay, but for non-cytopathic
viruses including LCMV this requires lengthy incubation, so results cannot be obtained rapidly. Additionally, due to specific
technical constraints of the plaque assay including the visual detection format, it has an element of subjectivity along with
limited sensitivity. In this study, we describe the development of a FACS-based assay that utilizes detection of LCMV
nucleoprotein (NP) expression in infected cells to determine viral titers, and that exhibits several advantages over the
standard plaque assay. We show that the LCMV-NP FACS assay is an objective and reproducible detection method that
requires smaller sample volumes, exhibits a ,20-fold increase in sensitivity to and produces results three times faster than
the plaque assay. Importantly, when applied to models of acute and chronic LCMV infection, the LCMV-NP FACS assay
revealed the presence of infectious virus in samples that were determined to be negative by plaque assay. Therefore, this
technique represents an accelerated, enhanced and objective alternative method for detection of infect
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