Inflammatory Response and Host-Donor Chimerism Defined by Single Cell RNA-Seq of Allograft Biopsy
Kidney transplantation offers the best survival and quality of life for patients’ with end-stage kidney disease. The major barrier to successful long-term transplantation is the host’s immune response to alloantigens’ causing rejection of the transplant. The complexity of this immune response in kidney transplantation is still not fully understood and effective treatment strategies are needed. To better understand rejection at the molecular and cellular level we characterized 4,487 cells from a...
Provenance — who produced it, who reused it
Linked to 1 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.
- A single-nucleus RNA-sequencing pipeline to decipher the molecul... 2019 · 300 cites
Deep data QC
71/100 · CStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Human RNA-seq with 36 bp reads uniquely achieved perfect 100% Q20 and Q30 across 3.25 billion bases—an unusually high basecall accuracy suggestive of stringent QC trimming or instrument calibration. However, the paradoxical mean quality of 30 despite perfect percent-Q metrics indicates potential artifact; investigate quality-score encoding before downstream analysis.
The C 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.