Publication:
Ultrasensitive proteomic quantitation of cellular signaling by digitized nanoparticle-protein counting

dc.contributor.coauthorJacob, Thomas
dc.contributor.coauthorAgarwal, Anupriya
dc.contributor.coauthorRamunno-Johnson, Damien
dc.contributor.coauthorO'Hare, Thomas
dc.contributor.coauthorTyner, Jeffrey W.
dc.contributor.coauthorDruker, Brian J.
dc.contributor.coauthorVu, Tania Q.
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.kuauthorGönen, Mehmet
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Industrial Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid237468
dc.date.accessioned2024-11-09T11:57:08Z
dc.date.issued2016
dc.description.abstractMany important signaling and regulatory proteins are expressed at low abundance and are difficult to measure in single cells. We report a molecular imaging approach to quantitate protein levels by digitized, discrete counting of nanoparticle-tagged proteins. Digitized protein counting provides ultrasensitive molecular detection of proteins in single cells that surpasses conventional methods of quantitating total diffuse fluorescence, and offers a substantial improvement in protein quantitation. We implement this digitized proteomic approach in an integrated imaging platform, the single cell-quantum dot platform (SC-QDP), to execute sensitive single cell phosphoquantitation in response to multiple drug treatment conditions and using limited primary patient material. The SC-QDP: 1) identified pAKT and pERK phospho-heterogeneity and insensitivity in individual leukemia cells treated with a multi-drug panel of FDA-approved kinase inhibitors, and 2) revealed subpopulations of drug-insensitive CD34+ stem cells with high pCRKL and pSTAT5 signaling in chronic myeloid leukemia patient blood samples. This ultrasensitive digitized protein detection approach is valuable for uncovering subtle but important differences in signaling, drug insensitivity, and other key cellular processes amongst single cells.
dc.description.fulltextYES
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipOregon Nanotechnology and Microtechnology Institute NB3 Grant Award
dc.description.sponsorshipNational Institutes of Health
dc.description.sponsorshipV Foundation for Cancer Research
dc.description.sponsorshipLeukemia & Lymphoma Society Gabrielle's Angel Foundation for Cancer Research
dc.description.sponsorshipNational Cancer Institute
dc.description.sponsorshipHoward Hughes Medical Institute
dc.description.versionPublisher version
dc.description.volume6
dc.formatpdf
dc.identifier.doi10.1038/srep28163
dc.identifier.eissn2045-2322
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR00857
dc.identifier.issn2045-2322
dc.identifier.linkhttps://doi.org/10.1038/srep28163
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-84975518501
dc.identifier.urihttps://hdl.handle.net/20.500.14288/867
dc.identifier.wos378230700001
dc.keywordsChronic myeloid-leukemia
dc.keywordsChronic myelogenous leukemia
dc.keywordsImatinib mesylate discontinuation
dc.keywordsMolecule kinase inhibitors
dc.keywordsStem-cells
dc.keywordsQuantum dots
dc.keywordsCancer
dc.keywordsPhosphorylation
dc.keywordsRemission
dc.keywordsResponses
dc.languageEnglish
dc.publisherNature Publishing Group (NPG)
dc.relation.grantno1RO1NS071116
dc.relation.grantnoR37CA065823
dc.relation.grantno1R01CA178397-01
dc.relation.grantnoP30 CA042014
dc.relation.grantno5R00CA151457-04
dc.relation.grantno1R01CA183974-01
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/860
dc.sourceScientific Reports
dc.subjectMultidisciplinary sciences
dc.titleUltrasensitive proteomic quantitation of cellular signaling by digitized nanoparticle-protein counting
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-2483-075X
local.contributor.kuauthorGönen, Mehmet
relation.isOrgUnitOfPublicationd6d00f52-d22d-4653-99e7-863efcd47b4a
relation.isOrgUnitOfPublication.latestForDiscoveryd6d00f52-d22d-4653-99e7-863efcd47b4a

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