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Quantitative assessment of single-cell RNA sequencing methods

GSE51254 Homo sapiens Expression profiling by high throughput sequencing 113 samples Submitted 2013/10/20 Platform GPL11154
Summary
We generated single-cell transcriptomes from a large number of single cells using several commercially available platforms, in both microliter and nanoliter volumes, and compared performance between them. We benchmarked each method to conventional RNA-seq of the same sample using bulk total RNA, as well as to multiplexed qPCR, which is the current gold standard for quantitative single-cell gene expression analysis. In doing so, we were able to systematically evaluate the sensitivity, precision, and accuracy of various approaches to single-cell RNA-seq. Our results show that it is possible to use single-cell RNA-seq to perform quantitative transcriptome measurements of individual cells, that it is possible to obtain quantitative and accurate gene expression measurements with a relatively small number of sequencing reads, and that when such measurements are performed on large numbers of cells, one can recapitulate the bulk transcriptome complexity, and the distributions of gene expression levels found by single-cell qPCR.
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Direct links to NCBI, no account and no request form: the whole study as GSE51254_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 113 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA222225 and SRA study SRP030617. Searching any of these in the dataset finder brings you back here.

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