Low-input and multiplexed microfluidic assay reveals epigenomic variation across cerebellum and prefrontal cortex

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dc.contributor.authorMa, Saien
dc.contributor.authorHsieh, Yuan-Pangen
dc.contributor.authorMa, Jianen
dc.contributor.authorLu, Changen
dc.contributor.departmentBiomedical Engineering and Mechanicsen
dc.contributor.departmentChemical Engineeringen
dc.date.accessioned2019-02-05T15:46:41Zen
dc.date.available2019-02-05T15:46:41Zen
dc.date.issued2018-04-18en
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
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1126/sciadv.aar8187en
dc.identifier.issue4en
dc.identifier.urihttp://hdl.handle.net/10919/87451en
dc.identifier.volume4en
dc.language.isoen_USen
dc.publisherAAASen
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en
dc.titleLow-input and multiplexed microfluidic assay reveals epigenomic variation across cerebellum and prefrontal cortexen
dc.title.serialScience Advancesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Scholarly Works, Biomedical Engineering and Mechanics
Destination Area: Adaptive Brain and Behavior (ABB)
Scholarly Works, Chemical Engineering