High-throughput single-cell transcriptome profiling of plant cell types
Single-cell transcriptome analysis of heterogeneous tissues can provide high-resolution windows into the spatiotemporal dynamics of developmental processes and environmental responses. Here we use the high-hroughput Drop-seq approach to profile the transcriptomes of over 12,000 individual cells from the Arabidopsis root. We identify marker genes for a diversity of cell types, capture cell-type frequency and gene expression alterations in response to sucrose, and illuminate the transcriptome chan...
Provenance — who produced it, who reused it
Linked to 3 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.
2 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently