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dc.contributor.authorBhattacharyya, Roby P
dc.contributor.authorWalker, Mark
dc.contributor.authorBoykin, Rich
dc.contributor.authorSon, Sophie S
dc.contributor.authorLiu, Jamin
dc.contributor.authorHachey, Austin C
dc.contributor.authorMa, Peijun
dc.contributor.authorWu, Lidan
dc.contributor.authorChoi, Kyungyong
dc.contributor.authorCummins, Kaelyn C
dc.contributor.authorBenson, Maura
dc.contributor.authorSkerry, Jennifer
dc.contributor.authorRyu, Hyunryul
dc.contributor.authorWong, Sharon Y
dc.contributor.authorGoldberg, Marcia B
dc.contributor.authorHan, Jongyoon
dc.contributor.authorPierce, Virginia M
dc.contributor.authorCosimi, Lisa A
dc.contributor.authorShoresh, Noam
dc.contributor.authorLivny, Jonathan
dc.contributor.authorBeechem, Joseph
dc.contributor.authorHung, Deborah T
dc.date.accessioned2021-10-27T20:10:40Z
dc.date.available2021-10-27T20:10:40Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/135089
dc.description.abstract© 2019, The Author(s). Rapid bacterial identification remains a critical challenge in infectious disease diagnostics. We developed a novel molecular approach to detect and identify a wide diversity of bacterial pathogens in a single, simple assay, exploiting the conservation, abundance, and rich phylogenetic content of ribosomal RNA in a rapid fluorescent hybridization assay that requires no amplification or enzymology. Of 117 isolates from 64 species across 4 phyla, this assay identified bacteria with >89% accuracy at the species level and 100% accuracy at the family level, enabling all critical clinical distinctions. In pilot studies on primary clinical specimens, including sputum, blood cultures, and pus, bacteria from 5 different phyla were identified.
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.relation.isversionof10.1038/s41598-019-40792-3
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScientific Reports
dc.titleRapid identification and phylogenetic classification of diverse bacterial pathogens in a multiplexed hybridization assay targeting ribosomal RNA
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.relation.journalScientific Reports
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-06-05T16:21:18Z
dspace.orderedauthorsBhattacharyya, RP; Walker, M; Boykin, R; Son, SS; Liu, J; Hachey, AC; Ma, P; Wu, L; Choi, K; Cummins, KC; Benson, M; Skerry, J; Ryu, H; Wong, SY; Goldberg, MB; Han, J; Pierce, VM; Cosimi, LA; Shoresh, N; Livny, J; Beechem, J; Hung, DT
dspace.date.submission2019-06-05T16:21:20Z
mit.journal.volume9
mit.journal.issue1
mit.metadata.statusAuthority Work and Publication Information Needed


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