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Single-cell multiome sequencing of human kidney anatomical regions with SHARE-seq

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP443142
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We developed an optimized, low-cost, split-pool barcoding-based multimodal profiling protocol based upon SHARE-seq (concurrent single-cell ATAC/RNA-seq). With SHARE-seq, we profiled human kidney samples from multiple different anatomical regions. Therefore, we develop a large-scale multimodal single-cell atlas for 3D anatomy of the human kidney. Overall design: We profiled 48 human kidney samples from kidney cortex, medulla, papilla, ureter and renal artery. Sequencing of the SHARE-seq libraries were done on two Novaseq-S4 flowcells and one Novaseq-S2 flowcell.
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2024-04-04
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