The Single Cell Transcriptomic Landscape of Early Human Diabetic Nephropathy
We report the early transcriptional changes in human diabetic nephropathy by single nucleus RNA sequencing
Provenance — who produced it, who reused it
Linked to 20 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.
- Multimodal single cell sequencing implicates chromatin accessibi... 2022 · 188 cites
- Identification and validation of immune and oxidative stress-rel... 2023 · 170 cites
- Mapping the genetic architecture of human traits to cell types i... 2021 · 163 cites
16 further papers cite this accession but reuse could not be confirmed.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0