Corpus 1,277 assessed · 1,178 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE116222

GEO first seen 2020

Colonic single epithelial cell census reveals goblet cell drivers of barrier breakdown in inflammatory bowel disease

Organism
Homo sapiens
Samples
9
Type
Expression profiling by high...
Submitted
2018-06-25

We report the results of 3 single cell RNA-sequencing (10x, chromium) experiments looking to characterise the composition of the intestinal epithelial cells in health and Ulcerative Colitis in order to identify drivers of intestinal inflammation at the molecular level. The data in this submission comprises of 3 repeat experiments (A, B, C) with biopsy samples taken from colonic biopsies collected from healthy patients (Healthy) and those with UC inflammation from an inflamed area of colon and ad...

Provenance — who produced it, who reused it

Linked to 10 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.

Deposited / produced by
Kaushal ParikhAgne AntanaviciuteDavid Fawkner-CorbettMarta JagielowiczJames KinchenAnna AulicinoNeil AshleyErrin JohnsonPhilip HublitzLeyuan BaoRajinder S AndevElisabet BjorklandHashem KoohyAlison Simmons
Reused by

8 further papers cite this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 22 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently