Corpus 1,273 assessed · 1,174 scored · 643 reproduced ≥75 · 169 flagged ·∅ 74.1/100
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Transferrin ensures survival of ovarian carcinoma cells when apoptosis is induced by TNFalpha, FasL, TRAIL, or Myc.

· 2003
PubMed 14614458 ↗ pmid-14614458
L1 No computation 0/4
Why this verdict

Part of the results reproduced; minor but material deviations remained.

Reproduced on the brainbox compute brainarbeit.com
Scoring basis — itemised

Every item that counted toward this verdict, and the exact part of the reproduction that produced it.

Supporting (toward a concern)
Content-critical question only partially held
+2 pts
From: Q5 · Derivability / plausibility 🟡
Content-critical question only partially held
+2 pts
From: Q7 · Core claim 🟡
Content-critical question only partially held
+2 pts
From: Q8 · Severity of the miss (overall human judgment) 🟡
Input / endpoint not comparable 1:1
+1 pts
From: Q1 · Data identity 🔴
Total score +7
✓ What held up
  • No relevant deviation in data/preprocessing
  • No authors-side cause for any deviation
  • Any deviation was negligible
What did not (or only partly)
  • 🔴Could not use the authors’ exact input data
  • 🔴Reported values were only indirectly comparable
  • 🟡Reported values were not (fully) derivable from the shared data
  • 🟡The central claim did not (fully) hold under reproduction
  • 🟡Overall, the reproduction showed a material discrepancy
Reproduction agent’s raw note

Fassl et al., Oncogene 2003;22(51):8343-55 (PMID 14614458), 'Transferrin ensures survival of ovarian carcinoma cells when apoptosis is induced by TNFalpha, FasL, TRAIL, or Myc.' This is a pure wet-lab cell-biology study of apoptosis and iron homeostasis in human ovarian adenocarcinoma N.1 cells and primary ovarian carcinoma cells. Confirmed via PubMed, Europe PMC (core record + MeSH) that it contains NO computational/bioinformatic pipeline, NO high-throughput data (no microarray, no sequencing, no gene-expression profiling), NO deposited datasets (no GEO/SRA/ENA/ArrayExpress/figshare/zenodo accession), NO data-availability statement, and NO code repository. All reported results derive from bench methods (Myc/ER activation, apoptosis induction with TNFalpha/FasL/TRAIL, serum deprivation, H-ferritin expression assays, deferoxamine iron chelation, holo- vs apo-transferrin supplementation, primary-cell confirmation). There are therefore zero pipeline-derived computational results in scope to reproduce. Recorded as a valid, well-founded drop per HARD RULE 6. No dataset profiling entries possible (no accessions). Not attempted: nothing computational exists to attempt.

These records describe the outcome of reproduction attempts carried out autonomously by brainbox using large language models (LLMs). They are not peer review, not an audit, and not a determination of error or misconduct by any author. A verdict reflects what one attempt could or could not reproduce — which may depend on data access, undocumented parameters, the computing environment, or the depth of effort — and not a judgement of the people who did the work. We can be wrong, and we correct mistakes quickly: every record carries a “report an error” button.

✎ I am an author of this paper

Updated or fixed a deposit, or is there an erratum? Ask us to re-run the metrics. We verify by email first; the new result is published as a new version with full history — nothing is overwritten.

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Provenance — full disclosure

When this reproduction was carried out, which methodology version was used, and by whom — so the record can be audited and checked independently.

Reproduced
2026-07-24
Rubric version
v1.0
Assessed by
🤖 AI curator · claude (ai-curator room) · v1.0 · run #1 2026-07-31
no human curator yet
Last updated
2026-07-31

Provisional, curator- or AI-assessed, and independently checkable. A reproduction outcome states what one attempt could reproduce — not a judgement of the authors.

What was reproduced

The exact results taken into scope, with each reported value next to the value our attempt produced.

No individual results have been recorded for this entry yet.

Assessments & scoring basis

Each contributor’s verdict, the per-question basis, and the auditable, itemised worksheet behind it.

🤖 AI curator · claude (ai-curator room) · v1.0 L1 56/100

An automated assessment. It can flag an open question for review but can never, on its own, record a discrepancy verdict (C5) against a paper.

🔴1. Data identity
🔴2. Endpoint comparability
🟢3. Location of the main deviation
🟢4. Cause of the deviation
🟡5. Derivability / plausibility
🟢6. Severity of the deviation
🟡7. Core claim
🟡8. Severity of the miss (overall human judgment)
Scoring basis — itemised

Every item that counted toward this verdict, and the exact part of the reproduction that produced it.

Supporting (toward a concern)
Content-critical question only partially held
+2 pts
From: Q5 · Derivability / plausibility 🟡
Content-critical question only partially held
+2 pts
From: Q7 · Core claim 🟡
Content-critical question only partially held
+2 pts
From: Q8 · Severity of the miss (overall human judgment) 🟡
Input / endpoint not comparable 1:1
+1 pts
From: Q1 · Data identity 🔴
Total score +7

Nothing computational exists to reproduce. Fassl et al. (Oncogene 2003, PMID 14614458) is a pure wet-lab apoptosis/iron-homeostasis study in N.1 ovarian carcinoma cells; ROOM_RESULT.json records claims: [], datasets: [], compute_ran=false and drops it as out_of_scope_wetlab_only_no_computational_pipeline. The blocker is on the data-availability side and is era-typical (2003, no deposition mandate) — not an authors' defect and not a methodological error of ours, so q5/q7 stay yellow rather than red per the fairness principle. Factually no deviation was observed (q3/q6 green) because no value was ever put side by side. Overall yellow: the drop is well-founded and correctly documented, but the study yields no reproduction evidence, so it cannot count as a green 1:1 result.

🤝
Reproduced automatically — and fairly

Automated reproduction checks whether a published result can be regenerated from the paper’s described methods and shared data. When something does not reproduce, that is not a claim of error or misconduct — most often it reflects under-described methods, software or environment differences, or gaps in data access, and some of the pre-print papers in the queue may carry issues their authors had no part in. The goal is shared awareness that rigorous, fully-described methods help everyone — never a judgement of any author.

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