Representation and relative abundance of cell-type selective markers in whole-kidney RNA-Seq data
Purpose: We used RNA-seq to determine the mRNA species and cell types presented in the whole kidney tissue. Methods: We extracted RNA from the whole kidney tissue and microdissected proximal tubules. cDNA libraries were constructed for paired-end sequencing and sequenced on Illumina HiSeq3000 platform.Reads were mapped to mouse Ensembl Genome by STAR and transcript abundances were calculated in the units of transcripts per million (TPM) using RSEM (https://github.com/deweylab/RSEM). Results and...
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.
- Representation and relative abundance of cell-type selective mar... 2019 · 149 cites
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