Scalable high-density peptide arrays for comprehensive health monitoring
Joseph Barten Legutki,
Zhan-Gong Zhao,
Matt Greving,
Neal Woodbury,
Stephen Albert Johnston and
Phillip Stafford ()
Additional contact information
Joseph Barten Legutki: Center for Innovations in Medicine, Biodesign Institute, Arizona State University
Zhan-Gong Zhao: Center for Innovations in Medicine, Biodesign Institute, Arizona State University
Matt Greving: NextVal
Neal Woodbury: Center for Innovations in Medicine, Biodesign Institute, Arizona State University
Stephen Albert Johnston: Center for Innovations in Medicine, Biodesign Institute, Arizona State University
Phillip Stafford: Center for Innovations in Medicine, Biodesign Institute, Arizona State University
Nature Communications, 2014, vol. 5, issue 1, 1-7
Abstract:
Abstract There is an increasing awareness that health care must move from post-symptomatic treatment to presymptomatic intervention. An ideal system would allow regular inexpensive monitoring of health status using circulating antibodies to report on health fluctuations. Recently, we demonstrated that peptide microarrays can do this through antibody signatures (immunosignatures). Unfortunately, printed microarrays are not scalable. Here we demonstrate a platform based on fabricating microarrays (~10 M peptides per slide, 330,000 peptides per assay) on silicon wafers using equipment common to semiconductor manufacturing. The potential of these microarrays for comprehensive health monitoring is verified through the simultaneous detection and classification of six different infectious diseases and six different cancers. Besides diagnostics, these high-density peptide chips have numerous other applications both in health care and elsewhere.
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.nature.com/articles/ncomms5785 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5785
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms5785
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().