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Label-free single-cell RNA Multiplexing leveraging genetic variability [scRNA-seq]

GSE247707 Homo sapiens Expression profiling by high throughput sequencing 7 samples Submitted 2024/09/06 Platform GPL24676
Summary
Single cell RNA sequencing has enabled unprecedented insights into the molecular cues and cellular heterogeneity underlying human disease. However, the high costs and complexity of single cell methods remain a major obstacle for generating large scale human cohorts. Here we compare current state-of-the-art single cell multiplexing technologies, and provide a new widely applicable demultiplexing method, SNP-Fishing, that enables simple, robust high-throughput multiplexing leveraging genetic variability of patients.
Published in
Label-free single-cell RNA multiplexing leveraging genetic variability
Hoeft K, Bleckwehl T, Schumacher D et al. · Nature communications 2024 · PMID 39638798 · doi:10.1038/s41467-024-54270-6
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Direct links to NCBI, no account and no request form: the whole study as GSE247707_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 7 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1040191 and SRA study SRP471776. Searching any of these in the dataset finder brings you back here.

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