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000303194 1001_ $$0P:(DE-He78)f1b5bf007f02d6de3658fe18c17eab9f$$aCerrizuela, Santiago$$b0$$eFirst author
000303194 245__ $$aProtocol update to: High-throughput scNMT protocol for multiomics profiling of single cells from mouse brain and pancreatic organoids.
000303194 260__ $$aCambridge, MA$$bCell Press$$c2025
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000303194 520__ $$aSingle-cell nucleosome, methylome, and transcriptome (scNMT) sequencing is a recently developed method that allows multiomics profiling of single cells. In this scNMT protocol, we describe profiling of cells from mouse brain and pancreatic organoids, using liquid handling platforms to increase throughput from 96-well to 384-well plate format. Our approach miniaturizes reaction volumes and incorporates the latest Smart-seq3 protocol to obtain higher numbers of detected genes and genomic DNA (gDNA) CpGs per cell. We outline normalization steps to optimally distribute per-cell sequencing depth. For complete details on the use and execution of this protocol, please refer to Kremer et al. and other works.1,2,3,4,5,6,7 This protocol is an update to Cerrizuela et al.7.
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000303194 650_7 $$2Other$$aBioinformatics
000303194 650_7 $$2Other$$aCell Biology
000303194 650_7 $$2Other$$aGenomics
000303194 650_7 $$2Other$$aMolecular Biology
000303194 650_7 $$2Other$$aNeuroscience
000303194 650_7 $$2Other$$aRNA-seq
000303194 650_7 $$2Other$$aSequence analysis
000303194 650_7 $$2Other$$aSingle Cell
000303194 7001_ $$0P:(DE-He78)6d17c3c17f328bb0390e292d55dbd0aa$$aKaya, Oguzhan$$b1$$eFirst author
000303194 7001_ $$0P:(DE-He78)551385d41ee0ab6f659ef4675eb01184$$aKremer, Lukas P M$$b2
000303194 7001_ $$0P:(DE-He78)b3087a9d62a31d5a9bf92e5f4ca57c61$$aSarvari, Andrea$$b3
000303194 7001_ $$0P:(DE-He78)1ae4ce3dec6e0206e452ba0068da9d15$$aEllinger, Tobias$$b4
000303194 7001_ $$0P:(DE-He78)ace776c118ec6865ad5fc6e0990538ed$$aStraub, Jannes$$b5
000303194 7001_ $$0P:(DE-He78)ae499fa5f2cb516077d2a80afe84fa2d$$aBrunken, Jan$$b6
000303194 7001_ $$0P:(DE-He78)6b9cf44cb2178b01d781165881b5ea79$$aSanz-Morejon, Andres$$b7
000303194 7001_ $$0P:(DE-He78)125cb4218699cb19963e018e98142a02$$aKorkmaz, Aylin$$b8
000303194 7001_ $$0P:(DE-He78)9f92f3ae36d92f7d6f070602e0e8585c$$aMartin-Villalba, Ana$$b9$$eLast author
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