Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE60542

GEO first seen 2022

Revisiting the transcriptional analysis of primary tumors and associated nodal metastases with enhanced biological and statistical controls: application to thyroid cancer

Organism
Homo sapiens
Samples
92
Type
Expression profiling by arra...
Submitted
2014-08-20

The biology underlying nodal metastasis is poorly understood. Transcriptome profiling has helped to characterize both primary tumors seeding nodal metastasis and the metastasis themselves. The interpretation of these data, however, is not without ambiguities. Here we profiled the transcriptomes of 17 papillary thyroid cancer (PTC) nodal metastases, associated primary tumors and primary tumors from N0 patients. We also included patient-matched normal thyroid and lymph node samples as controls to...

Provenance — who produced it, who reused it

Linked to 35 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
Maxime TarabichiManuel SaiseletChristophe TrésalletCatherine HoangDenis LarsimontGuy AndryCarine MaenhautVincent Detours
Reused by

33 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

Data type / assay
microarray-expr
Organism
Homo sapiens
Read type
not sequencing
Files available
CEL
Metrics (value · how obtained)
supplementary file types CEL reported
QC cost 1 s compute

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