Single cell transcriptome analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns.
As organisms age, cells accumulate genetic and epigenetic changes that eventually lead to impaired organ function or catastrophic failure such as cancer. Here we describe a single-cell transcriptome analysis of 2544 human pancreas cells from donors, spanning six decades of life. We find that islet cells from older donors have increased levels of disorder as measured both by noise in the transcriptome and by the number of cells which display inappropriate hormone expression, revealing a transcrip...
Provenance — who produced it, who reused it
Linked to 23 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.
- Single-Cell Analysis of Human Pancreas Reveals Transcriptional S... 2017 · 608 cites
- Aggressive PDACs Show Hypomethylation of Repetitive Elements and... 2020 · 129 cites
- Delineating mouse β-cell identity during lifetime and in diabete... 2023 · 80 cites
20 further papers cite this accession but reuse could not be confirmed.
Deep data QC
92/100 · 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