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GSE150338

GEO first seen 2021

Targeted single-cell RNA-seq identifies minority cell types of kidney distal nephron & A Comprehensive Map of mRNAs and Their Isoforms across All 14 Renal Tubule Segments of Mouse

Organism
Mus musculus
Samples
96
Type
Expression profiling by high...
Submitted
2020-05-11

Characterization of gene expression for each renal cell type is essential for identifying mechanisms underlying kidney physiology and pathophysiology. Here, we built a transcriptome landscape mouse renal epithelial cells by deep sequencing of all 14 mouse renal segments, upon which we developed an enrichment protocol to characterize distal nephron cells by single-cell RNA-seq. Our renal tubule expression atlas provided landscapes of gene expression and alternative splicing along the renal tubule...

Provenance — who produced it, who reused it

Linked to 5 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.

Deposited / produced by
Lihe ChenChun-Lin ChouMark A Knepper
Reused by

3 further papers cite this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 22 s compute

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