Quantitative assessment of single-cell RNA sequencing methods

ABSTRACT: 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 s

ORGANISM(S): Homo sapiens

SUBMITTER: Angela Wu 

PROVIDER: E-GEOD-51254 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress