Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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The Cohesin Ring Uses Its Hinge to Organize DNA Using Non-topological as well as Topological Mechanisms.

Cell · 2018
L1 80/100 PQI 85
Why this verdict

The main results reproduced: recomputed values matched the published ones within tolerance.

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: Q8 · Severity of the miss (overall human judgment) 🟡
Minor / cosmetic deviation
+1 pts
From: Q3 · Location of the main deviation 🟡
Minor / cosmetic deviation
+1 pts
From: Q4 · Cause of the deviation 🟡
Minor / cosmetic deviation
+1 pts
From: Q6 · Severity of the deviation 🟡
Concordant (toward reproduced)
Code + data deposited & functional
-2 pts
From: Data & code availability Available & functional
Total score +3
✓ What held up
  • Same input data as the authors
  • Reported values were directly comparable
  • Reported values are derivable from the shared data
  • The central claim held under reproduction
What did not (or only partly)
  • 🟡A deviation arose in the data or preprocessing
  • 🟡A deviation was attributed to the published material
  • 🟡The deviation was non-trivial in magnitude
  • 🟡Overall, the reproduction showed a material discrepancy
How its reproducibility compares
80/100
Reproducibility score
0.3 SD above mean
vs. all fields · 1173 studies
🎯 Scores higher than 56% of all assessed papers rank 484 of 1173 scored

A 0–100 reproducibility-quality score from the per-question grades, shown as a z-score: standard deviations above (+) or below (−) the mean of comparable assessments.

Reproduction agent’s raw note

DESCRIBED WELL ENOUGH -> FAITHFUL 1:1 ON THE FIGURE-GENERATING STEP. The repo (naomipetela/nasmythlab-ngs @ d7509c6) ships exactly the centromere-averaging scripts (chr_position.py + filter60.py) that produce the paper's averaged peri-centromeric cohesin profiles (Figs 3C/4/5/6B). I replayed filter60.py's exact +/-60kb CDEIII windows over the 34-sample GSE105005 deposited calibrated BigWig tracks (already OR-multiplied + 1e6-normalized per Methods) on «our HPC» («job», pyBigWig). The reproduced averaged meta-profiles match the published figures: a sharp CDEIII peak (all 17 IP tracks peak within ~0.25 kb of the anchor) decaying into peri-centromeric arms, with a flat untagged negative control. Comparative loading claims confirmed in direction: DDDAAA >= WT (2.18x, C2), Smc3-Scc1 fusion < WT (peak 0.91x / integrated 0.50x, C3), untagged ~ background (C4). NOT ATTEMPTED (the hard ~20%): re-deriving the occupancy ratio + dual-genome Bowtie2 alignment (sacCer3 + C. glabrata) from raw Ion Torrent reads -- underspecified read-counting and unnecessary since deposited tracks are pre-calibrated; and absolute y-axis scaling. No fabrication signs: every deposited track yields a coherent figure-consistent profile and the untagged control behaves correctly. All grades provisional; human reviewer compares reproduction/outputs/centromere_metaprofiles.png to Figs 3C/6B/4E.

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.

Assessment versions

Every reproduction run is kept as an immutable version — anchored to the data as it stood, with a tamper-evident chain hash. A rerun (e.g. after an author updates a deposit) adds a new version; the previous one stays on record.

  1. v1 current initial assessment Score 80
    assessed: 2026-06-16 ⛓ cbb844ccadfb
✎ I am an author of this paper

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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
2026-06-16
Rubric version
v1.0
Assessed by
🤖 AI curator · claude (ai-curator room) · v1.0 · run #1 2026-06-16
no human curator yet
Last updated
2026-08-05

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

Deep full-text extraction

Model: opus
Founding hypothesis

The paper tests whether sister chromatid cohesion is mediated by co-entrapment of sister DNAs inside a single cohesin ring, and asks whether cohesin associates with chromatin exclusively through topological entrapment or also via non-topological mechanisms dependent on its Smc1/3 hinge domain.

Core claims
  • Sister chromatid cohesion is mediated by co-entrapment of both sister DNAs inside a single hetero-trimeric cohesin ring, perfectly correlating CD formation with cohesion finding
  • Cohesin can engage chromatin non-topologically (loading and translocation) without entrapping DNA, as shown by the smc1DDsmc3AAA hinge-lumen mutant finding
  • Cohesin's Smc1/3 hinge domain is critical for both topological and non-topological DNA association, implying DNAs enter the ring via hinge opening mechanism
  • Mutation of three conserved lysines in the Smc1 hinge moiety (smc1DDD) abolishes loading without affecting Scc2 recruitment at CENs or ATPase activity finding
  • CMs (single entrapped DNAs) reflect loading while CDs (co-entrapped sister DNAs) reflect cohesion finding
  • Loading/translocation are driven by conformational changes in the hinge coupled to cycles of ATP hydrolysis mechanism
  • A minichromosome IP/BMOE crosslinking assay detects topological entrapment of DNA inside covalently circularized cohesin rings (CMs and CDs) method
  • Single cohesin rings (one Scc1 copy) hold sister DNAs together, but multiple rings collaborate to form/maintain CDs finding
Experimental setups
Assay System Perturbation Readout Platform
Minichromosome immunoprecipitation with in vivo BMOE crosslinking, SDS denaturation, agarose gel and Southern blotting S. cerevisiae carrying 2.3 kb circular minichromosome; 6C and 5C cysteine cohesin strains cysteine-pair engineering at ring interfaces; various cohesin/cell-cycle mutants CM (single entrapped DNA) and CD (co-entrapped sister DNAs) band intensities as % of total
2D agarose gel electrophoresis with proteinase K in second dimension S. cerevisiae 6C strain (K23889) with minichromosome none (verification of DNA topology) identity of CM/CD species as monomeric supercoiled DNAs
Western blot (anti-HA on Smc3) S. cerevisiae 6C wild-type cohesin BMOE crosslinking crosslinked cohesin species / ring circularization (~20–25%)
Minichromosome IP across cell-cycle arrests S. cerevisiae (scc2-45, cdc4-1, eco1-1, pds5-101 ts mutants; Sic1 overexpression; non-cleavable Scc1) temperature-sensitive loss-of-function, G1/G2-M arrests, non-degradable Sic1, non-cleavable Scc1 CM and CD formation
Minichromosome IP in polyploid tagging experiment S. cerevisiae diploid and tetraploid strains (4x6C vs 1x6C/3x5C) dilution of circularizable cohesin copies ratio of CD to CM bands
Calibrated chromatin immunoprecipitation sequencing (ChIP-seq) S. cerevisiae WT (K15426, Smc3-HA) and DDAAA mutant (K15424, smc3AAA-HA) smc1DDsmc3AAA hinge-lumen neutralization genome-wide cohesin occupancy along chromosomes II and VIII
ATPase activity assay Purified WT (Smc1/Smc3/Scc1/Scc3) and mutant (smc1DD smc3AAA Scc1 Scc3) tetramers smc1DDsmc3AAA mutation; ± DNA; + Scc2 rate of ATP hydrolysis
Minichromosome IP with ATPase-site cohesin mutants S. cerevisiae 6C strains with ectopic 2C Smc3-PK6 (WT, E1155Q, K38I) Smc3 E1155Q (binds not hydrolyzes ATP), Smc3 K38I (cannot bind ATP) CM and CD co-precipitation of minichromosome DNA
Key results
  • Two DNA species (CMs and CDs) form uniquely in 6C cells; both are monomeric supercoiled DNAs (CM = single DNA, CD = sister pair) trapped within tripartite rings
  • scc2-45, Smc3E1155Q and Smc3K38I cohesin fail to form CMs and CDs, showing dependence on Scc2 and ATP hydrolysis (despite E1155Q binding CENs efficiently)
  • DNA replication is required for CDs but not for CMs; Sic1 overexpression, cdc4-1, and non-cleavable Scc1 yield CMs without CDs
  • eco1-1 and pds5-101 mutants form CMs but not CDs; wpl1Δ restores CD formation in eco1 cells, confirming CD correlates with cohesion
  • Shifting G2/M-arrested pds5-101 cells to restrictive temperature reduces CDs but not CMs 70% reduction in CDs
  • CD/CM ratio is unchanged when circularizable cohesin is diluted in tetraploids, showing single rings hold sister DNAs together ratio = 1.01, SD = 0.100
  • smc1DDsmc3AAA (hinge-lumen neutralized) cohesin largely fails to form CMs and CDs yet associates stably with chromatin and loads genome-wide like WT CM ~20% and CD ~3% of WT levels
  • smc1DDsmc3AAA mutation has no effect on Scc2-stimulated ATPase activity (± DNA)
Key statistics
  • fold_change CM band reduced to ~20% of WT in DDAAA mutant (smc1DDsmc3AAA minichromosome IP, 3 biological replicates)
  • fold_change CD band reduced to ~3% of WT in DDAAA mutant (smc1DDsmc3AAA minichromosome IP, 3 biological replicates)
  • other CD/CM ratio (4x6C)/(1x6C,3x5C) = 1.01, SD = 0.100 (tetraploid dilution experiment, 3 biological replicates)
  • fold_change CDs reduced by 70% (pds5-101 G2/M shift to restrictive temperature, 3 biological replicates)
  • count BMOE circularizes 20%–25% of 6C cohesin rings (in vivo crosslinking efficiency of wild-type 6C cohesin)
  • other 2.3 kb circular minichromosome (reporter substrate used in entrapment assay)

Statistical methods review

Model: opus

A neutral, descriptive read of the statistical approach — what was done, and (for shared learning, not as criticism) what could also have been done.

The study is a molecular-genetics investigation that quantifies cohesin-DNA entrapment (CM and CD bands) across many yeast strains and cell-cycle states using an in vivo crosslinking/immunoprecipitation assay read out by Southern blotting, supplemented by calibrated ChIP-seq and in vitro ATPase assays. Results are reported descriptively as band intensities expressed as percentage of total lane signal, typically summarized as mean ± SD from three biological replicates, with conclusions drawn from observed differences and correlations rather than from formal hypothesis tests. No inferential statistical tests, p values, or multiplicity corrections are reported in the text provided.

Replicationbiological Sample sizeSeveral quantifications state '3 biological replicates' (e.g., Figure 1B, Figure 2D, Figure 2E, Figure 3B); no formal power or sample-size justification is described GroupsMutant/condition cohesin strains vs. wild-type 6C (and 5C control) strains across cell-cycle arrests Pairingna Randomization/blindingnot stated DispersionSD Exact p-valuesno Effect sizesno Confidence intervalsno
Approaches that could also have been used
  • Differences between mutant and wild-type strains (e.g., reductions in CM/CD band intensity) were described qualitatively from replicate means without an accompanying inferential test.
    Could also: A formal comparison such as an unpaired t-test or a non-parametric Mann-Whitney U test on the replicate-level quantifications could also have been reported. — Adding a test statistic and p value would attach an explicit measure of the evidence against chance variation to each comparison, complementing the descriptive means.
  • Quantifications were summarized as mean ± SD from three biological replicates.
    Could also: Reporting individual replicate data points (e.g., a scatter/dot plot overlaid on the mean) and/or a 95% confidence interval could also have been used. — With small n, showing every data point and a CI conveys the full spread and the precision of the estimate, which some readers find more informative than SD alone.
  • Several conditions were compared against a common wild-type reference within the same experiments (e.g., multiple mutants vs. WT 6C).
    Could also: A single one-way ANOVA with a post-hoc procedure (e.g., Dunnett's test for comparisons to a control) could also have been applied. — Analyzing the comparisons within one model would simultaneously account for the family of comparisons and control the family-wise error rate when many groups share a reference.
  • Calibrated ChIP-seq profiles were presented as genome-wide occupancy traces shown for representative chromosomes, described by visual comparison of WT and mutant distributions.
    Could also: Quantitative summaries across replicates (e.g., peak-level occupancy with a differential-binding framework such as DESeq2/edgeR or a correlation metric between profiles) could also have been reported. — A quantitative, replicate-aware summary would express the similarity or difference between WT and mutant occupancy as an estimated effect with associated uncertainty.
  • The conclusion that the CD/CM ratio is unchanged between 4×6C and 6C/3×5C strains was supported by a ratio near 1 with a small SD.
    Could also: An equivalence-testing approach (e.g., TOST) or a confidence interval around the ratio could also have been used to formalize 'no change.' — Equivalence testing frames a 'similarity' claim directly by bounding how large a difference can be ruled out, rather than relying on the absence of a detected difference.
Software: AIDA Image Analyzer (gel/band quantification)

Result convergence & founder nodes

Findings this paper shares with others that ran a comparable experiment. A node’s strength is how many independent papers report it (replication breadth) — not how often it is cited, so a heavily-replicated but under-cited founder still stands out.

Citation network

Where this publication sits in the reproducibility-weighted citation graph — what it is built on, and what is built on it. Citation data from OpenAlex.

Citations
173
Impact: high
Foundation confidence
None of its references are in our reproducibility record yet — its foundation cannot be assessed.
Topics

Assessed papers, coloured by verdict. Click a node to open it.

Built on (assessed references) (0)
  • No assessed neighbours yet — the network grows as more papers are assessed.
Cited by (assessed papers) (2)

Data lineage

The datasets this paper uses (text-mined from the full text via Europe PMC), and which other assessed papers stand on the same data. A shared dataset is a factual link — not a judgement.

5kDa PDBe in Methods (http://purl.org/orb/Methods)
no other assessed paper uses this yet
6His PDBe in Methods (http://purl.org/orb/Methods)
no other assessed paper uses this yet
GSE105005 GEO in Methods (http://purl.org/orb/Methods)
no other assessed paper uses this yet

What was reproduced

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

Figures / tables: FigsFig 3CFig 6BFig 4E
C1
Reported
Calibrated cohesin ChIP-seq averaged over all 16 chromosomes peaks AT the centromeric CDEIII and decays into peri-centromeric arms (Figs 3C/4C/4E/5A/5C/6B)
Reproduced
all 17 deposited IP tracks peak within 236-276 bp of the CDEIII anchor (Scc2 loader 3-22 bp); characteristic peri-centromeric decay; matches published figure shapes
within tolerance
C2
Reported
smc1DD smc3AAA (DDDAAA) cohesin loads similar-to-or-greater than WT (Fig 3C, 'similar if not greater')
Reproduced
central-10kb mean ratio mut/WT = 2.18 (Fig3C pair); FigS2C replicate = 0.82; consistent with claim direction
within tolerance
C3
Reported
Smc3-Scc1 fusion loads slightly less than WT Scc1 (Fig 6B)
Reproduced
peak ratio fusion/WT = 0.91 (slightly less, matches); integrated central-10kb ratio = 0.50
partial
C4
Reported
Untagged control shows no specific peri-centromeric enrichment (Fig 4E)
Reproduced
untagged central-10kb 21.4 ~= flank 20.0; no peak; 10-20x below tagged IPs
exact

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 80/100

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: Q8 · Severity of the miss (overall human judgment) 🟡
Minor / cosmetic deviation
+1 pts
From: Q3 · Location of the main deviation 🟡
Minor / cosmetic deviation
+1 pts
From: Q4 · Cause of the deviation 🟡
Minor / cosmetic deviation
+1 pts
From: Q6 · Severity of the deviation 🟡
Concordant (toward reproduced)
Code + data deposited & functional
-2 pts
From: Data & code availability Available & functional
Total score +3

This is a faithful 1:1 replay of the authors' own filter60.py centromere-averaging scripts over the deposited, pre-calibrated GSE105005 BigWig tracks, so the figure-generating computation and the central conclusion (cohesin peaks at CDEIII and decays into peri-centromeric arms; untagged is background) reproduce cleanly with no fabrication signs. The deviations sit on our side and are explainable: C3's integrated ratio (0.50) exceeds the paper's qualitative 'slightly less' because of a self-chosen window metric (peak ratio 0.91 matches), and C2 shows replicate spread (2.18 vs 0.82). The hard ~20% (calibration OR + raw dual-genome alignment, C5) was out of scope but the data is fully available. Overall: solid, qualitatively confirmed reproduction with minor metric-definition deviations — yellow, not critical.

🤝
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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Reproduction footprint

claude-opus-4-8

Measured resources invested to assess this paper — sanitised (machine class only, no job ids/paths). Compute = HPC accounting (SLURM); tokens = the AI agent's session.

135.7 k
tokens (I/O) · 6.7 M incl. cache
13 min
runtime · 0.01 CPU-h
1.9 GB
peak RAM
1
HPC jobs
hummel
machine