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Spatial multiomics sequencing for fixed tissue via DBiTseq

GitHub jwrthxDBiTtoolbox Analysis pipeline for multiplexed

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Spatially resolved transcriptomics of tissue sections enables advances in fundamental and applied biomedical research Here we present Multiplexed Deterministic Barcoding in Tissue xDBiT to acquire spatially resolved transcriptomes of nine tissue sections in parallel

Deterministic Barcoding in Tissue for Spatial Omics Sequencing

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Deterministic Barcoding in Tissue for Spatial Omics Sequencing DBiTseq was developed at Yale University by Rong Fan and colleagues in 2020 to create a multiomics approach for studying spatial gene expression heterogenicity within a tissue sample 1 This method can be used for the comapping mRNA and protein levels at a near singlecell resolution in fresh or frozen formaldehydefixed

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GitHub MingyuYangYaleDBiTseq

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Example Messages Interbyte delay is minimal and there is no timing difference between 9bit high and 9bit low bytes The following shows the 9 th bit is set high on the first message and following bytes in the message have the 9 th bit set low The minimum intermessage delay not to be confused with interbyte delay is around 22 milliseconds

This protocol describes the use of the deterministic barcoding in tissue for spatial omics sequencing platform to construct a multiomics atlas on fixed frozen tissue samples This approach uses a microfluidicbased method to introduce combinatorial DNA

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This is a public repository for all code connected to DBiTSeq microfluidic Deterministic Barcoding in Tissue for spatial omics sequencing Please cite Yang et al HighSpatialResolution MultiOmics Atlas Sequencing of Mouse Embryos via Deterministic Barcoding in Tissue bioRxiv 2019 doi https

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