Corpus 1,280 assessed · 1,181 scored · 646 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE117358

GEO first seen 2020

RNA-sequencing of pretreatment AB1 (mesothelioma) and Renca (kidney cancer) tumours mice both respondant and non-respondant to immunotherapy with CTLA4 and PD-L1

Organism
Mus musculus
Samples
48
Type
Expression profiling by high...
Submitted
2018-07-19

Purpose: Cancer immunotherapy has shown outstanding results in the past few years. Specifically, antibodies targeting immune checkpoints can prolong survival in some patients with various cancer types. However, most patients do not respond, and it is not fully understood what biological processes determine an effective outcome. This lack of understanding hinders the development of rational combination treatments. Methods: Here, we analysed bulk RNAseq data obtained from pretreatment responding a...

Provenance — who produced it, who reused it

Linked to 3 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
Rachael M ZemekEmma de JongWee L ChinVanessa FearTom CaseyCath ForbesDanika HopeLouis BoonAlistair R ForrestDaithi O MuiriMichael J MillwardAnna K NowakTimo LassmannAnthony BoscoRichard A LakeWillem J Lesterhuis
Reused by

2 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 23 s compute

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