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txci-ATAC-seq: a massive-scale single-cell technique to profile chromatin accessibility

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE245957
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We develop a large-scale single-cell ATAC-seq method by combining Tn5-based pre-indexing with 10X Genomics barcoding, enabling the indexing of up to 200,000 nuclei across multiple samples in a single reaction. We profile 449,953 nuclei across diverse tissues, including the human cortex, mouse brain, human lung, mouse lung, mouse liver, and lung tissue from a club cell secretory protein knockout (CC16-/-) model. Our study of CC16-/- nuclei uncovers previously underappreciated technical artifacts derived from remnant 129 mouse strain genetic material, which cause profound cell-type-specific changes in regulatory elements near many genes, thereby confounding the interpretation of this commonly referenced mouse model. txci-ATAC-seq using brain tissue samples using replicates of Human Cortex and Mouse whole brain tissue loaded at ~20k and ~70k cells. Human raw data will be made available through the NeMO Archive.
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2024-04-02
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