Corpus 1,283 assessed · 1,184 scored · 647 reproduced ≥75 · 173 flagged ·∅ 73.9/100
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GSE70835

GEO first seen 2017

Transcriptomic profiling of S. cerevisiae wild type and aft2 mutant in response to exposure to selenite

Organism
Saccharomyces cerevisiae
Samples
16
Type
Expression profiling by high...
Submitted
2015-07-13

The yeast S. cerevisiae does not require selenium for growth, so it is an excellent model to investigate the toxicity of this element without interference from its requirement as growth factor as occurs in animal cells. Exposure to selenite interferes with the yeast iron metabolism. Aft2 is a transcription factor related (with Aft1) to maintenance of iron homeostasis. We have found that aft2 cells are highly sensitive to selenite (a common environmental source for selenium). In these experiments...

Provenance — who produced it, who reused it

Linked to 2 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
Joaquín AriñoDavid CanadellAlbert Serra-CardonaMaría Pérez-SampietroCelia CasasEnrique Herrero
Reused by

1 further paper cites 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