GSE122392

Sensitive, high-throughput single-cell RNA-Seq reveals within-clonal transcript-correlations in yeast populations

Single-cell RNA-seq (scRNA-seq) has revealed extensive cellular heterogeneity within many organisms but few methods have been developed for microbial clonal populations. The yeast genome displays an unusually dense transcript spacing with interleaved and overlapping transcription from both strands, resulting in a minuscule but complex pool of RNA protected by a resilient cell wall. Here, we developed a sensitive, scalable and inexpensive yeast single-cell RNA-seq (yscRNA-seq) method that digital...

Provenance — who produced it, who reused it

Linked to 1 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently