α Cell Function and Gene Expression Are Compromised in Type 1 Diabetes
Many patients with type 1 diabetes (T1D) have residual beta cells producing small amounts of C-peptide long after disease onset, but develop an inadequate glucagon response to hypoglycemia following T1D diagnosis. The features of these residual beta cells and alpha cells persisting in the islet endocrine compartment are largely unknown due to difficulty of comprehensive investigation. By studying the T1D pancreas and isolated islets, we show that remnant beta cells appeared to maintain several 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.
Deep data QC
93/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq (human). Grade A: solid base quality (Q30=92.2%, base quality=34.8) with moderate PCR duplication (50%), placing it at the upper boundary of acceptable. Slightly lower Q30 and base quality compared to best-in-class datasets, but all metrics are measured and above functional thresholds. Suitable for standard differential expression analysis; be aware of potential noise in lowly-expressed features.
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