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dc.contributor.authorMa, Sai
dc.contributor.authorHsieh, Yuan-Pang
dc.contributor.authorMa, Jian
dc.contributor.authorLu, Chang
dc.date.accessioned2019-02-05T15:46:41Z
dc.date.available2019-02-05T15:46:41Z
dc.date.issued2018-04-18
dc.identifier.urihttp://hdl.handle.net/10919/87451
dc.description.abstractExtensive effort is under way to survey the epigenomic landscape of primary ex vivo tissues to establish normal reference data and to discern variation associated with disease. The low abundance of some tissue types and the isolation procedure required to generate a homogenous cell population often yield a small quantity of cells for examination. This difficulty is further compounded by the need to profile a myriad of epigenetic marks. Thus, technologies that permit both ultralow input and high throughput are desired. We demonstrate a simple microfluidic technology, SurfaceChIP-seq, for profiling genome-wide histone modifications using as few as 30 to 100 cells per assay and with up to eight assays running in parallel. We applied the technology to profile epigenomes using nuclei isolated from prefrontal cortex and cerebellum of mouse brain. Our cell type–specific data revealed that neuronal and glial fractions exhibited profound epigenomic differences across the two functionally distinct brain regions.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherAAASen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleLow-input and multiplexed microfluidic assay reveals epigenomic variation across cerebellum and prefrontal cortexen_US
dc.typeArticle - Refereeden_US
dc.title.serialScience Advancesen_US
dc.identifier.doihttps://doi.org/10.1126/sciadv.aar8187
dc.identifier.volume4en_US
dc.identifier.issue4en_US
dc.type.dcmitypeText


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Attribution-NonCommercial 4.0 International
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