Single cell RNA-seq of human pancreatic endocrine cells from Juvenile, adult control and type 2 diabetic donors.
We successfully sequenced and annotated more than 400 cells from child, adult control, type 1 diabetes and type 2 diabetes donors. We detect donor-type specific transcript variation. We also report that cells from child donors have less defined gene signature. Cells from type 2 diabetes donors resemble juvenile cells in gene expression.
Provenance — who produced it, who reused it
Linked to 17 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.
- scMerge leverages factor analysis, stable expression, and pseudo... 2019 · 207 cites
- Longitudinal single-cell RNA-seq analysis reveals stress-promote... 2022 · 205 cites
- scClassify: sample size estimation and multiscale classification... 2020 · 165 cites
- PyMINEr Finds Gene and Autocrine-Paracrine Networks from Human I... 2019 · 80 cites
- Delineating mouse β-cell identity during lifetime and in diabete... 2023 · 80 cites
11 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, 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.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently