4.7 Article

Multicolor two-photon imaging of in vivo cellular pathophysiology upon influenza virus infection using the two-photon IMPRESS

Journal

NATURE PROTOCOLS
Volume -, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41596-019-0275-y

Keywords

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Funding

  1. Strategic Basic Research Programs from the Japan Science and Technology Agency (JST)
  2. Leading Advanced Projects for Medical Innovation (LEAP) from the Japan Agency for Medical Research and Development (AMED) [JP18am001007]
  3. Ministry of Education, Culture, Science, Sports, and Technology (MEXT) of Japan [16H06429, 16K21723, 16H06434]
  4. Japan Initiative for Global Research Network on Infectious Diseases (J-GRID) from the MEXT of Japan
  5. AMED [JP19fk0108031]
  6. e-ASIA Joint Research Program from AMED [JP17jm0210042]
  7. Research Program on Emerging and Re-emerging Infectious Diseases from AMED [JP19fk0108031]
  8. NIAID [HHSN272201400008C]
  9. fund for the Promotion of Joint International Research (Fostering Joint International Research (B)) from the Japan Society for the Promotion of Science (JSPS) [JP18KK0225]
  10. JSPS KAKENHI [P16416]
  11. MEXT KAKENHI [18K14580]
  12. Grants-in-Aid for Scientific Research [18K14580] Funding Source: KAKEN

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In vivo two-photon imaging is a valuable technique for studies of viral pathogenesis and host responses to infection in vivo. In this protocol, we describe a methodology for analyzing influenza virus-infected lung in vivo by two-photon imaging microscopy. We describe the surgical procedure, how to stabilize the lung, and an approach to analyzing the data. Further, we provide a database of fluorescent dyes, antibodies, and reporter mouse lines that can be used in combination with a reporter influenza virus (Color-flu) for multicolor analysis. Setup of this model typically takes 30 min and enables the observation of influenza virus-infected lungs for >4 h during the acute phase of the inflammation and at least 1 h in the lethal phase. This imaging system, which we termed two-photon IMPRESS (imaging pathophysiology research system), is broadly applicable to analyses of other respiratory pathogens and reveals disease progression at the cellular level in vivo.

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