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- W4286891152 abstract "Single cell combinatorial indexing RNA sequencing (sci-RNA-seq) is a powerful method for recovering gene expression data from an exponentially scalable number of individual cells or nuclei. However, sci-RNA-seq is a complex protocol that has historically exhibited variable performance on different tissues, as well as lower sensitivity than alternative methods. Here we report a simplified, optimized version of the three-level sci-RNA-seq protocol that is faster, higher yield, more robust, and more sensitive, than the original sci-RNA-seq3 protocol, with reagent costs on the order of 1 cent per cell or less. We showcase the optimized protocol via whole organism analysis of an E16.5 mouse embryo, profiling ~380,000 nuclei in a single experiment. Finally, we introduce a tiny sci-* protocol for experiments where input is extremely limited." @default.
- W4286891152 created "2022-07-25" @default.
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- W4286891152 date "2021-10-28" @default.
- W4286891152 modified "2023-10-13" @default.
- W4286891152 title "An optimized protocol for single cell transcriptional profiling by combinatorial indexing" @default.
- W4286891152 doi "https://doi.org/10.48550/arxiv.2110.15400" @default.
- W4286891152 hasPublicationYear "2021" @default.
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