Corpus 1,280 assessed · 1,181 scored · 646 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE28490

GEO first seen 2019

mRNA expression profiling of human immune cell subset (Roche)

Organism
Homo sapiens
Samples
47
Type
Expression profiling by arra...
Submitted
2011-04-08

Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regul...

Provenance — who produced it, who reused it

Linked to 15 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
Florence AllantazDonavan ChengTobias BergauerPalanikumar RavindranMichel F RossierMartin EbelingLaura BadiBernhard ReisHans BitterMatilde D'AsaroAlberto ChiappeSriram SridharGonzalo Duran PachecoMichael E BurczynskiDenis HochstrasserJacky VonderscherThomas Matthes
Reused by

12 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