Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE115469

GEO first seen 2019

Dissecting the human liver cellular landscape by single cell RNA-seq reveals novel intrahepatic monocyte/ macrophage populations

Organism
Homo sapiens
Samples
5
Type
Expression profiling by high...
Submitted
2018-06-07

The liver is the largest solid organ in the body and is critical for metabolic and immune functions. However, surprisingly little is known about the cells that make up the human liver and its immune microenvironment. To address this, we mapped the cellular landscape in the human liver using single cell RNA sequencing. We carefully fractionated fragile, fresh hepatic tissue from human livers to obtain viable parenchymal and non-parenchymal cells. Our single cell transcriptomics map reveals 20 dis...

Provenance — who produced it, who reused it

Linked to 28 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
Sonya A MacParlandJeff C LiuGary D BaderIan D McGilvray
Reused by

23 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 4 s compute

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

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.

1 studies use it 1 flagged mean score 63