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GSE104267

GEO first seen 2018

Predictive analysis of long non-coding RNA expression profiles in tumor and normal tissues from glioblastoma patients

Organism
Homo sapiens
Samples
24
Type
Expression profiling by arra...
Submitted
2017-09-26

We compared lncRNA expression data in tumor tissues from 9 patients and 3 healthy tissues by using an HlncOA 1.0 array. Data show that 185 lncRNAs, including 90 upregulated and 95 downregulated lncRNA transcripts, were significantly dysregulated in glioblastoma tissues. Then, 8 dysregulated lncRNAs were validated in another 50 samples of specimens using quantitative real-time polymerase chain reaction assays(qRT-PCR). We predicted lncRNA-miRNA-mRNA networks by co-expressing lncRNA and mRNA wit...

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
Jianjun Gu
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 30 s compute

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