| Tuberculosis: global approaches to a global disease. | |
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MedLine Citation:
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PMID: 20637596 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Mycobacterium tuberculosis is a remarkably successful human pathogen. The interaction with the human host is complex and much remains unknown. Recent advances in systems biology have allowed the integration of data from humans and animal models into computational approaches. For example, mathematical models provide a platform for in silico manipulation of host-pathogen interactions to gain insight into this infection across temporal and biologic scales. Here, we review recent studies on global approaches toward identifying comprehensive responses of both host and bacillus during infection, and the potential for incorporation of these data into many types of useful computational systems. Systems biology approaches provide a unique opportunity to study interventions that may improve therapy and vaccines against this major killer. |
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Authors:
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Denise E Kirschner; Douglas Young; JoAnne L Flynn |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review Date: 2010-07-14 |
Journal Detail:
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Title: Current opinion in biotechnology Volume: 21 ISSN: 1879-0429 ISO Abbreviation: Curr. Opin. Biotechnol. Publication Date: 2010 Aug |
Date Detail:
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Created Date: 2010-09-20 Completed Date: 2011-01-28 Revised Date: 2011-09-26 |
Medline Journal Info:
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Nlm Unique ID: 9100492 Medline TA: Curr Opin Biotechnol Country: England |
Other Details:
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Languages: eng Pagination: 524-31 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ltd. All rights reserved. |
Affiliation:
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Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Disease Models, Animal Host-Pathogen Interactions Humans Mycobacterium tuberculosis / pathogenicity, physiology Systems Biology Tuberculosis / epidemiology*, immunology, microbiology |
| Grant Support | |
ID/Acronym/Agency:
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HL0075845/HL/NHLBI NIH HHS; HL092883/HL/NHLBI NIH HHS; LM009027/LM/NLM NIH HHS; N01 AI050018/AI/NIAID NIH HHS; R01 AI050732-08/AI/NIAID NIH HHS; R01 LM009027-01/LM/NLM NIH HHS; R33 HL092853-01/HL/NHLBI NIH HHS; R33 HL092883-01/HL/NHLBI NIH HHS |
| Comments/Corrections | |
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