Single-cell RNA-Seq transcriptome analysis of circular RNAs in mouse embryos
We reported a new method of single-cell universal poly(A)-independent RNA sequencing (SUPeR-seq) to obtain single cell whole transcriptome analysis that covers both poly(A) plus and poly(A) minus RNA species. We built libraries of single mouse ESC , 10pg, 100pg and 1ng diluted mouse ES total RNA, single HEK293T cell and mouse early embryos before 4-cell stage. We analyzed these data using bioinformatics and find a good coverage of non-polyadenylated RNAs, circular RNA for example. to make a comp...
Provenance — who produced it, who reused it
Linked to 8 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.
- scMerge leverages factor analysis, stable expression, and pseudo... 2019 · 207 cites
- Single-cell RNA-seq analysis of mouse preimplantation embryos by... 2020 · 96 cites
- Single-cell quantification of ribosome occupancy in early mouse... 2023 · 84 cites
4 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