MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Spatiotemporal quantification of cell dynamics in the lung following influenza virus infection

Author(s)
Yin, Lu; Chen, Jianzhu; Xu, Shuoyu; Cheng, Jierong; Zheng, Dahai; Limmon, Gino V.; Leung, Nicola H. N.; Rajapakse, Jagath C.; Chow, Vincent T. K.; Yu, Hanry; ... Show more Show less
Thumbnail
DownloadYin-2013-Spatiotemporal quantification of cell dynamics.pdf (3.929Mb)
PUBLISHER_POLICY

Publisher Policy

Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
Abstract
Lung injury caused by influenza virus infection is widespread. Understanding lung damage and repair progression post infection requires quantitative spatiotemporal information on various cell types mapping into the tissue structure. Based on high content images acquired from an automatic slide scanner, we have developed algorithms to quantify cell infiltration in the lung, loss and recovery of Clara cells in the damaged bronchioles and alveolar type II cells (AT2s) in the damaged alveolar areas, and induction of pro-surfactant protein C (pro-SPC)-expressing bronchiolar epithelial cells (SBECs). These quantitative analyses reveal: prolonged immune cell infiltration into the lung that persisted long after the influenza virus was cleared and paralleled with Clara cell recovery; more rapid loss and recovery of Clara cells as compared to AT2s; and two stages of SBECs from Scgb1a1[superscript +] to Scgb1a1[superscript −]. These results provide evidence supporting a new mechanism of alveolar repair where Clara cells give rise to AT2s through the SBEC intermediates and shed light on the understanding of the lung damage and repair process. The approach and algorithms in quantifying cell-level changes in the tissue context (cell-based tissue informatics) to gain mechanistic insights into the damage and repair process can be expanded and adapted in studying other disease models.
Date issued
2013-04
URI
http://hdl.handle.net/1721.1/80344
Department
Massachusetts Institute of Technology. Department of Biology; Koch Institute for Integrative Cancer Research at MIT
Journal
Journal of Biomedical Optics
Publisher
SPIE
Citation
Yin, Lu. “Spatiotemporal quantification of cell dynamics in the lung following influenza virus infection.” Journal of Biomedical Optics 18, no. 4 (April 1, 2013): 046001.
Version: Final published version
ISSN
1083-3668
1560-2281

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.