Spatially resolved and multiplexed MicroRNA quantification from tissue using nanoliter well arrays  被引量:3

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作  者:Maxwell B.Nagarajan Augusto M.Tentori Wen Cai Zhang Frank J.Slack Patrick S.Doyle 

机构地区:[1]Department of Chemical Engineering,Massachusetts Institute of Technology,Cambridge,MA 02139,USA [2]HMS Initiative for RNA Medicine,Department of Pathology,Harvard Medical School,Beth Israel Deaconess Medical Center,Boston,MA 02215,USA

出  处:《Microsystems & Nanoengineering》2020年第1期1007-1015,共9页微系统与纳米工程(英文)

基  金:This work was supported by NIH Grant 1R01CA235740-01A1(P.S.D.,F.J.S.);partially by the Cancer Center Support(core)Grant P30-CA14051 from the National Cancer Institute(P.S.D.,F.J.S.);a Ford Foundation Postdoctoral Fellowship(A.M.T.);a Ludwig Center Fund Postdoctoral Fellowship(A.M.T.);NIHNRSA 5T32HL007893-20(W.C.Z.);the NIH-YALE SPORE in Lung Cancer P50CA196530-03S1(F.J.S.);NIH-NIBIB Grant 5R21EB024101-02(P.S.D.).

摘  要:Spatially resolved gene expression patterns are emerging as a key component of medical studies,including companion diagnostics,but technologies for quantification and multiplexing are limited.We present a method to perform spatially resolved and multiplexed microRNA(miRNA)measurements from formalin-fixed,paraffin-embedded(FFPE)tissue.Using nanoliter well arrays to pixelate the tissue section and photopatterned hydrogels to quantify miRNA,we identified differentially expressed miRNAs in tumors from a genetically engineered mouse model for non-small cell lung cancer(K-ras&(LSL-G12D/+);p53^(fl/fl)).This technology could be used to quantify heterogeneities in tissue samples and lead to informed,biomarker-based diagnostics.

关 键 词:RESOLVED SPATIAL LUNG 

分 类 号:R318[医药卫生—生物医学工程]

 

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