Sensitive high-throughput single-cell RNA-seq reveals within-clonal transcript correlations in yeast populations.

ABSTRACT: Single-cell RNA sequencing has revealed extensive cellular heterogeneity within many organisms, but few methods have been developed for microbial clonal populations. The yeast genome displays unusually dense transcript spacing, with interleaved and overlapping transcription from both strands, resulting in a minuscule but complex pool of RNA that is protected by a resilient cell wall. Here, we have developed a sensitive, scalable and inexpensive yeast single-cell RNA-seq (yscRNA-seq) method that digitally counts transcript start sites in a strand- and isoform-specific manner. YscRNA-seq detects the expression of low-abundance, noncoding RNAs and at least half of the protein-coding genome in each cell. In clonal cells, we observed a negative correlation for the expression of sense-antisense

SUBMITTER: Nadal-Ribelles M 

PROVIDER: S-EPMC6433287 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature