| Mapping Infected Cell Phenotype. | |
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MedLine Citation:
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PMID: 22711766 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Quantitative modeling of the phenotypic changes in the host cell during the bacterial infection makes it possible to explore an empirical relation between the infection stages and the quantifiable host cell phenotype. A statistically reliable model of this relation can facilitate therapeutic defense against threats due to natural and genetically engineered bacterium. In the preliminary experiment, we have collected several thousand cell images over a period of 72 hours of infection with a 2 hour sampling frequency that covers various stages of infection by Francisella tularenesis (Ft). Segmentation of macrophages in images was accomplished using a fully automatic, parallel region growing technique. Over two thousand feature descriptors for the host cell were calculated. Multi-dimensional scaling, followed by hierarchical clustering, was used to group the cells. Preliminary results show that the host cell phenotype, as defined by the set of measureable features, groups into different classes that can be mapped to the stages of infection. |
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Authors:
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U Adiga; B Bell; L Ponomareva; D Taylor; R Saldanha; S Nelson; T Lamkin |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-6-13 |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: - ISSN: 1558-2531 ISO Abbreviation: - Publication Date: 2012 Jun |
Date Detail:
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Created Date: 2012-6-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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