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Article: Protein microarrays with carbon nanotubes as multicolor Raman labels

TitleProtein microarrays with carbon nanotubes as multicolor Raman labels
Authors
Issue Date2008
Citation
Nature Biotechnology, 2008, v. 26, n. 11, p. 1285-1292 How to Cite?
AbstractThe current sensitivity of standard fluorescence-based protein detection limits the use of protein arrays in research and clinical diagnosis. Here, we use functionalized, macromolecular single-walled carbon nanotubes (SWNTs) as multicolor Raman labels for highly sensitive, multiplexed protein detection in an arrayed format. Unlike fluorescence methods, Raman detection benefits from the sharp scattering peaks of SWNTs with minimal background interference, affording a high signal-to-noise ratio needed for ultra-sensitive detection. When combined with surface-enhanced Raman scattering substrates, the strong Raman intensity of SWNT tags affords protein detection sensitivity in sandwich assays down to 1 fM - a three-order-of-magnitude improvement over most reports of fluorescence-based detection. We use SWNT Raman tags to detect human autoantibodies against proteinase 3, a biomarker for the autoimmune disease Wegener's granulomatosis, diluted up to 107-fold in 1% human serum. SWNT Raman tags are not subject to photobleaching or quenching. By conjugating different antibodies to pure 12C and 13C SWNT isotopes, we demonstrate multiplexed two-color SWNT Raman-based protein detection. © 2008 Nature Publishing Group.
Persistent Identifierhttp://hdl.handle.net/10722/334187
ISSN
2023 Impact Factor: 33.1
2023 SCImago Journal Rankings: 18.117
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Zhuo-
dc.contributor.authorTabakman, Scott M.-
dc.contributor.authorGoodwin, Andrew P.-
dc.contributor.authorKattah, Michael G.-
dc.contributor.authorDaranciang, Dan-
dc.contributor.authorWang, Xinran-
dc.contributor.authorZhang, Guangyu-
dc.contributor.authorLi, Xiaolin-
dc.contributor.authorLiu, Zhuang-
dc.contributor.authorUtz, Paul J.-
dc.contributor.authorJiang, Kaili-
dc.contributor.authorFan, Shoushan-
dc.contributor.authorDai, Hongjie-
dc.date.accessioned2023-10-20T06:46:21Z-
dc.date.available2023-10-20T06:46:21Z-
dc.date.issued2008-
dc.identifier.citationNature Biotechnology, 2008, v. 26, n. 11, p. 1285-1292-
dc.identifier.issn1087-0156-
dc.identifier.urihttp://hdl.handle.net/10722/334187-
dc.description.abstractThe current sensitivity of standard fluorescence-based protein detection limits the use of protein arrays in research and clinical diagnosis. Here, we use functionalized, macromolecular single-walled carbon nanotubes (SWNTs) as multicolor Raman labels for highly sensitive, multiplexed protein detection in an arrayed format. Unlike fluorescence methods, Raman detection benefits from the sharp scattering peaks of SWNTs with minimal background interference, affording a high signal-to-noise ratio needed for ultra-sensitive detection. When combined with surface-enhanced Raman scattering substrates, the strong Raman intensity of SWNT tags affords protein detection sensitivity in sandwich assays down to 1 fM - a three-order-of-magnitude improvement over most reports of fluorescence-based detection. We use SWNT Raman tags to detect human autoantibodies against proteinase 3, a biomarker for the autoimmune disease Wegener's granulomatosis, diluted up to 107-fold in 1% human serum. SWNT Raman tags are not subject to photobleaching or quenching. By conjugating different antibodies to pure 12C and 13C SWNT isotopes, we demonstrate multiplexed two-color SWNT Raman-based protein detection. © 2008 Nature Publishing Group.-
dc.languageeng-
dc.relation.ispartofNature Biotechnology-
dc.titleProtein microarrays with carbon nanotubes as multicolor Raman labels-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1038/nbt.1501-
dc.identifier.pmid18953353-
dc.identifier.scopuseid_2-s2.0-55749088033-
dc.identifier.volume26-
dc.identifier.issue11-
dc.identifier.spage1285-
dc.identifier.epage1292-
dc.identifier.eissn1546-1696-
dc.identifier.isiWOS:000260832200024-

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