DocumentCode
3006161
Title
Investigating pathogen-specific TLR signaling of innate immune cells for biosensor applications
Author
Lottes, A. ; Oh, H. ; HogenEsch, H. ; Ladisch, M. ; Hutchcroft, J. ; Rundell, A.
Author_Institution
Purdue Univ., West Lafayette, IN, USA
fYear
2004
fDate
17-18 April 2004
Firstpage
108
Lastpage
109
Abstract
The goal of this project is to develop a real-time cell-based biosensor using Toll-like receptors (TLRs) for pathogen detection. Existing biosensors rely on technologies that recognize only specific target analytes, requiring prior knowledge of the possible contaminating agents. Innate immune cells express TLRs that recognize conserved pathogen-associated molecular patterns on bacteria, viruses, parasites and fungi. Using TLRs as the receptor element in this biosensor will eliminate the need for a priori knowledge of the threat. At least 10 different members of the TLR family are expressed on cells of the innate immune system, each responding to different attributes of pathogenic organisms. Through flow cytometry, TLRs 2, 4 and 9 have been identified on THP-1 cells, and TLRs 2, 3, 4, 5 and 9 have been detected on J774 cells. Western blotting has identified Erk activation upon lipopolysacharide (LPS), E. coli and Poly(I):(C) exposure in J774 cells, and upon LPS and E. coli exposure in THP-1 cells. Cellular model systems are being developed to distinguish between bacteria and virus by selective stimulation of TLR3 and TLR5 (TLR3 specifically recognizes double-stranded viral RNA and TLR5 detects bacterial flagellin). A target application of this technology is point-of-care diagnostics. Realtime detection of viruses in nasal or throat swabs could help decrease the inappropriate use of antibiotics.
Keywords
biosensors; cellular biophysics; microorganisms; molecular biophysics; patient diagnosis; pattern recognition; proteins; E. coli; Erk activation; Toll-like receptors; Western blotting; bacteria; bacterial flagellin detection; cellular model systems; conserved pathogen-associated molecular pattern recognition; double-stranded viral RNA recognition; flow cytometry; fungi; innate immune cells; lipopolysacharide; parasites; pathogen detection; pathogen-specific TLR signaling; point-of-care diagnostics; real-time cell-based biosensors; viruses; Biosensors; Fungi; Immune system; Microorganisms; Organisms; Pathogens; Pattern recognition; RNA; Target recognition; Viruses (medical);
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 2004. Proceedings of the IEEE 30th Annual Northeast
Print_ISBN
0-7803-8285-4
Type
conf
DOI
10.1109/NEBC.2004.1300016
Filename
1300016
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