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CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq

GSE78779 Caenorhabditis elegans; Mus musculus Expression profiling by high throughput sequencing 228 samples Submitted 2016/04/08 Platform GPL17021Platform GPL18245
Summary
Single-cell transcriptomics requires a method that is sensitive, accurate, and reproducible. Here, we present CEL-Seq2, a modified version of our CEL-Seq method, with three-fold higher sensitivity, lower costs, and less hands-on time. We also implemented CEL-Seq2 on Fluidigm’s C1 system, thereby providing its first single-cell, on-chip barcoding method, and detected gene expression changes accompanying the progression through the cell cycle in mouse fibroblast cells. We also compare with Smart-Seq to demonstrate CEL-Seq2’s increased sensitivity relative to other available methods. Collectively, the improvements make CEL-Seq2 uniquely suited to single-cell RNA-Seq analysis in terms of economics, resolution, and ease of use
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Direct links to NCBI, no account and no request form: the whole study as GSE78779_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 228 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA313513 and SRA study SRP070989. Searching any of these in the dataset finder brings you back here.

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