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Sister DNA Entrapment between Juxtaposed Smc Heads and Kleisin of the Cohesin Complex.

Mol Cell · 2019
L1 64/100 3/4
Why this verdict

The main results reproduced, with only marginal, non-material deviations.

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)
Minor / cosmetic deviation
+1 pts
From: Q2 · Endpoint comparability 🟡
Concordant (toward reproduced)
All content-critical questions reproduced
-4 pts
From: Q7 · Core claim 🟢
Code + data deposited & functional
-2 pts
From: Data & code availability Available & functional
Total score -5
✓ What held up
  • Same input data as the authors
  • No relevant deviation in data/preprocessing
  • No authors-side cause for any deviation
  • Reported values are derivable from the shared data
  • Any deviation was negligible
  • The central claim held under reproduction
  • Overall, the reproduction was clean
What did not (or only partly)
  • 🟡Reported values were only indirectly comparable
How its reproducibility compares
64/100
Reproducibility score
0.6 SD below mean
vs. all fields · 1173 studies
🎯 Scores higher than 25% of all assessed papers rank 854 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 and reproduced 1:1 (directionally). The paper's bioinformatic results are the calibrated ChIP-seq pericentromeric profiles of Fig 7B/7C/7D, generated by the authors' own published scripts (repo naomipetela/nasmythlab-ngs@d7509c6, filter60.py: 60kb-either-side-of-CDEIII window averaged over 16 chromosomes). GEO GSE120138 ships the 8 already-calibrated BigWig tracks (Scc1/Pds5 x WT/wpl1/eco1/eco1-wpl1). I replayed the exact filter60.py window step over those tracks with pyBigWig on «our HPC». Result: both proteins show the expected CDEIII pericentromeric peak, and the paper's central claim reproduces strongly and unambiguously -- eco1 collapses Pds5 genome-wide occupancy (eco1/WT=0.388) while leaving Scc1 essentially unchanged (1.104), and the Pds5 reduction is even larger in the wpl1 background (eco1-wpl1/wpl1=0.269). Figures visually match the published Fig 7 panel shapes. Graded 'partial' overall (not 'reproduced') for two honest reasons: (1) Fig 7B-D are qualitative profiles with no printed numbers, so claims can only be graded on shape/direction, not numeric tolerance; (2) I did NOT re-derive the upstream Bowtie2 dual-genome (C.glabrata/sacCer3) spike-in alignment and occupancy-ratio calibration from the raw Ion Torrent reads in SRA -- the deposited BigWigs are that step's output, so the calibration itself is taken as given (the hard 20%, same scope choice as sister paper pmid-29754816). NOT attempted: all wet-lab cross-linking/entrapment assays (Figs 1-6, Fig 7A BMOE western quantifications) -- out of scope, no pipeline. No fabrication signal: every compared value is directly derivable from the shipped GEO data via the authors' own script.

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

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  1. v1 current initial assessment Score 64
    assessed: 2026-06-16 ⛓ 41ec7195321f
✎ I am an author of this paper

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Provenance — full disclosure

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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

Does the cohesin ring's Smc1/Smc3 ATPase heads interact in two distinct ways (engaged [E] and juxtaposed [J]) in vivo, thereby creating distinct SMC (S) and kleisin (K) sub-compartments, and within which of these compartments are single DNAs and sister DNAs entrapped?

Core claims
  • Smc1 and Smc3 ATPase heads adopt two distinct in vivo states: ATP-dependent engaged (E) and signature-motif juxtaposed (J). finding
  • Smc head interactions divide the cohesin ring into an SMC (S) compartment (hinge-to-heads) and a kleisin (K) compartment (heads-to-kleisin), each existing in E or J form. mechanism
  • Single DNA molecules are entrapped within K compartments of either E or J type, but not within S compartments of either type. finding
  • Sister DNAs are co-entrapped within J-K compartments, with J-head Smc3 being acetylated. finding
  • E and J head states are mutually exclusive within the same Smc1/3 heterodimer. finding
  • Smc3 acetylation accompanying cohesion establishment during S phase is more frequently associated with head juxtaposition (J) than head engagement (E). finding
  • In vivo BMOE cysteine cross-linking of engineered cysteine pairs can report specific Smc head conformations and DNA entrapment within ring sub-compartments. method
  • ATP-driven head engagement does not cause appreciable opening of the hinge interface. mechanism
Experimental setups
Assay System Perturbation Readout Platform
In vivo cysteine cross-linking (BMOE) with HaloTag-TMR labeling and in-gel fluorescence S. cerevisiae cells expressing Smc1/Smc3-HaloTag and ATPase mutants cysteine substitutions plus Smc3 ATPase mutants (K38I, S1127R, E1155Q) percentage cross-link efficiency between cysteine pairs at E head, J head, hinge, and coiled-coil interfaces BMOE cross-linker; HaloTag-TMR ligand; SDS-PAGE
Dual-interface in vivo cross-linking with immunoprecipitation S. cerevisiae cells with Smc1/Smc3-HaloTag, Scc1-PK6 cysteine pairs at two interfaces simultaneously; TEV cleavage incidence of single vs double cross-linked species; ICC1 values BMOE; Scc1-PK6 immunoprecipitation; SDS-PAGE; in-gel fluorescence
In vivo cross-linking analyzed by western blot S. cerevisiae cells with Smc1-HA, Smc3, Scc1-PK cysteine pairs at hinge and/or J head interfaces detection of doubly cross-linked dimers BMOE; western blot
Minichromosome DNA entrapment assay (catenated dimer / DNA retardation) S. cerevisiae minichromosome DNA with chemically circularized cohesin cysteine pairs defining S or K compartments (E or J) entrapment of single DNA and co-entrapment of sister DNAs as catenated dimers (CDs) BMOE; SDS denaturing gel electrophoresis
Structural modeling / structure alignment S. cerevisiae Smc1 (PDB 1W1W) and Smc3 (PDB 4UX3) heads aligned to B. subtilis Smc (PDB 3ZGX) none predicted inter-residue distances to select cysteine positions
Key results
  • Smc1N1192C–Smc3R1222C cross-linking reports the E state and is reduced by Smc3 K38I and S1127R but not E1155Q 40 ± 8%
  • Smc1S161C–Smc3K160C cross-linking reports the J state; its incidence is doubled by Smc3K38I or S1127R mutations 2-fold
  • Hinge and E interfaces cross-link independently (double product ≈ product of individual probabilities), so head engagement does not open the hinge 14 ± 2% observed vs 0.40×0.33=0.13 expected
  • Coiled-coil (Smc3E202C–Smc1R1031C) and J interface co-cross-link more than expected, indicating coils are more associated in J than E state 11 ± 4% observed vs 5% expected
  • Coiled-coil and E interface co-cross-link less than expected 4 ± 1% observed vs 10% expected
  • No dimers with migration expected for simultaneous J and E cross-linking were detected, showing the states are mutually exclusive
  • About 25% of cohesin rings are cross-linked simultaneously at all three Smc1/3 hinge, Smc3/Scc1, and Smc1/Scc1 interfaces ~25%
Key statistics
  • fold_change 40 ± 8% (E interface (Smc1N1192C–Smc3R1222C) cross-linking efficiency)
  • fold_change 33 ± 6% (hinge (Smc1K639C–SmcE570C) cross-linking efficiency)
  • fold_change 14 ± 2% (double cross-link of hinge + E interfaces (expected 0.40×0.33=0.13))
  • fold_change 17 ± 3% (coiled-coil + hinge double cross-link (expected 10%))
  • fold_change 4 ± 1% (coiled-coil + E interface double cross-link (expected 10%))
  • fold_change 11 ± 4% (new coiled-coil (Smc3E202C–Smc1R1031C) + J interface double cross-link (expected 5%))
  • other ICC1 = 0.74 / 0.84 / 0.37 / 0.84 / 0.52 (inter-cross-link correlation indices for Figure 3A–E)
  • count distances 11.5 Å (Smc1N1192C–Smc3R1222C E), 9.1 Å (Smc1S161C–Smc3K160C J), 25.4 Å and 43.5 Å (J vs E pairs) (modeled inter-residue distances for cysteine pair design)

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 uses in vivo cysteine cross-linking (BMOE) followed by SDS-PAGE and quantification by in-gel fluorescence or western blotting to estimate the percentage cross-linking efficiency at defined Smc1/Smc3/Scc1 interfaces. Results are reported descriptively as percentages, with several values given as mean ± SD of 3 independent experiments, and observed double cross-linking frequencies are compared informally to the product of the individual single-interface probabilities to infer whether two cross-linking events are independent. An intraclass correlation-type metric (reported as 'ICC1') accompanies several panels; no formal hypothesis tests or p-values are reported in the provided text.

Replicationbiological Sample sizesome panels stated as mean ± SD of 3 independent experiments; sample size/power not otherwise described Groupscross-linking efficiency across cysteine-pair/interface combinations and ATPase mutants (WT vs K38I, S1127R, E1155Q) Pairingna Randomization/blindingnot stated DispersionSD Exact p-valuesno Effect sizesno Confidence intervalsno Multiplicity correctionnone stated
Statistical tests used
Test Applied to n Assumptions
informal comparison of observed simultaneous (double) cross-linking frequency to the expected value under independence (product of marginal probabilities) hinge vs E interface (Figure 3A), coiled coil vs hinge and coiled coil vs E (Figure 3B), J vs coiled coil and J vs E (Figures 3C-3E) 3 independent experiments (where stated, e.g., Figure 3A) not stated
Approaches that could also have been used
  • Variability for several panels is summarized as mean ± SD of 3 independent experiments.
    Could also: Reporting a 95% confidence interval alongside (or in place of) the SD, and showing the individual replicate data points. — A CI and visible per-replicate points would convey both the spread and the precision of the estimate for small n, complementing the SD.
  • Independence of two cross-linking events is assessed by comparing the observed double cross-link frequency to the product of the single-interface frequencies.
    Could also: A formal test of independence/association (e.g., a chi-square or Fisher's exact test on counts, or a binomial/log-linear model) with an interval on the observed-versus-expected difference. — A formal model would attach an uncertainty estimate to the observed-versus-expected gap and quantify how strongly the data depart from independence.
  • Differences in cross-linking efficiency between wild-type and ATPase mutants (K38I, S1127R, E1155Q) are described qualitatively (e.g., 'doubled', 'reduced', 'unaffected').
    Could also: A one-way ANOVA or mixed-effects model across conditions with a post-hoc multiple-comparison correction (e.g., Tukey HSD or Benjamini-Hochberg). — An omnibus model with correction would control the family-wise/false-discovery rate across the several mutant comparisons while estimating effect sizes.
  • Cross-linking percentages are point estimates derived from gel quantification.
    Could also: Reporting effect sizes (e.g., difference in percentage points with its CI) for the key WT-versus-mutant or interface comparisons. — Explicit effect sizes with intervals would make the magnitude and precision of each comparison directly comparable across experiments.
  • An 'ICC1' value is reported per panel as a reproducibility metric.
    Could also: Stating the ICC model/form used and accompanying it with a confidence interval. — Specifying the ICC variant and its interval would clarify how the reproducibility metric was computed and how precisely it is estimated.

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
82
Impact: high
Foundation confidence
Built on 1 assessed reference(s) · mean reproducibility 75/100
stands on reproducible work
Topics

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

Built on (assessed references) (1)
Cited by (assessed papers) (0)
  • No assessed neighbours yet — the network grows as more papers are assessed.

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.

RRID:AB_309938 RRID in Article (http://semanticscience.org/resource/SIO_001029)
also used by 1 paper:
1W1W PDBe in Results (http://purl.org/orb/Results)
no other assessed paper uses this yet
3ZGX PDBe in Results (http://purl.org/orb/Results)
no other assessed paper uses this yet
4UX3 PDBe in Results (http://purl.org/orb/Results)
no other assessed paper uses this yet
GSE120138 GEO in Methods (http://purl.org/orb/Methods)
no other assessed paper uses this yet
RRID:AB_262044 RRID in Article (http://semanticscience.org/resource/SIO_001029)
no other assessed paper uses this yet
RRID:AB_322378 RRID in Article (http://semanticscience.org/resource/SIO_001029)
no other assessed paper uses this yet
RRID:AB_390918 RRID in Article (http://semanticscience.org/resource/SIO_001029)
no other assessed paper uses this yet
RRID:AB_772209 RRID in Article (http://semanticscience.org/resource/SIO_001029)
no other assessed paper uses this yet
RRID:AB_805331 RRID in Article (http://semanticscience.org/resource/SIO_001029)
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.

Scope — pmid-31201089

Paper: Chapard, Jones, van Oepen, Scheinost, Nasmyth. "Sister DNA Entrapment between Juxtaposed Smc Heads and Kleisin of the Cohesin Complex." Mol Cell 2019. DOI 10.1016/j.molcel.2019.05.023 · PMCID PMC6675936.

Code: https://github.com/naomipetela/nasmythlab-ngs @ commit d7509c6f3e0a0f34db71b485a9e332223084e7be (= chr_position.py + filter60.py; the figure-generating pericentromeric averaging scripts, cited in Methods as "custom Python scripts ... from Petela et al. 2018"). README is empty.

Data: GEO GSE120138GSE120138_RAW.tar (md5 a4655127d4a63a35f0c669bfc219391a, 158 MB) = 8 calibrated ChIP-seq BigWig tracks (already ×occupancy-ratio and normalized to 1e6 reads, per Methods). Sample map:

file GSM protein condition
1IP GSM3394806 Scc1-PK WT
2IP GSM3394807 Scc1-PK wpl1Δ (rad61)
3IP GSM3394808 Scc1-PK eco1
4IP GSM3394809 Scc1-PK eco1 wpl1Δ
5IP GSM3394810 Pds5-PK WT
6IP GSM3394811 Pds5-PK wpl1Δ
7IP GSM3394812 Pds5-PK eco1
8IP GSM3394813 Pds5-PK eco1 wpl1Δ
(The 8 WCE/input GSMs 3394814–3394821 are listed on GEO but no BigWigs are in the
RAW.tar; SRA raw reads not used.) rad61 is the budding-yeast gene name for WPL1.

IN SCOPE (pipeline-derived) — attempted

  • Fig 7B — average calibrated ChIP-seq pericentromeric profile of Scc1-PK (WT / wpl1 / eco1 / eco1 wpl1), 60 kb either side of CDEIII averaged over all 16 chromosomes. Pipeline = filter60.py window step replayed over the deposited calibrated BigWigs (pyBigWig).
  • Fig 7C — same for Pds5-PK.
  • Fig 7D — the same averaged profiles expressed as a percentage of the wpl1Δ average reads of Scc1/Pds5 (the normalization step).
  • Central quantitative claim — "inactivation of Eco1 reduced Pds5's association throughout the genome compared with that of Scc1, an effect even more pronounced in wpl1 mutants" (Results / Fig 7). Tested via genome-wide mean calibrated signal per condition.

OUT OF SCOPE (wet-lab / not a pipeline) — not attempted

  • Fig 7A and the BMOE in-vivo cysteine cross-linking / western-blot quantifications (5±2%, 36±11% E-/J-specific cross-linking) — wet-lab, manual densitometry, no pipeline.
  • All minichromosome-IP / entrapment cross-linking assays (Figs 1–6) — wet-lab.
  • The upstream alignment + occupancy-ratio calibration (Galaxy: Bowtie2 dual C. glabrata / sacCer3 spike-in, BAM→BigWig ×OR, Ion Torrent reads in SRA): the deposited BigWigs are the output of this step, so we replay the figure-generating step over them rather than re-deriving OR from raw reads (the hard 20%; same choice as the sister-paper repro pmid-29754816).

Method note

The deposited BigWigs are already calibrated (×OR, 1e6-normalized), so — unlike filter60.py which multiplies raw .tabular by an occupancyRatio constant — we do NOT re-apply OR; we only replay the 120 kb window extraction + 16-chromosome average using the repo's exact chromosome_filters coordinates (centre = win_start+60000 = CDEIII). CDEIII anchor verified: chrI 91558+60000 = 151558 ≈ CEN1.

Figures / tables: Fig 7BFig 7CFig 7D
C1
Reported
Scc1-PK calibrated ChIP-seq pericentromeric peak at CDEIII (Fig 7B, qualitative profile)
Reproduced
clear CDEIII peak in all 4 conditions; peak(2kb mean) 338 (WT) to 1273 (eco1 wpl1) vs flat genome-wide background
partial
C2
Reported
Pds5-PK calibrated ChIP-seq pericentromeric peak at CDEIII (Fig 7C, qualitative profile)
Reproduced
clear CDEIII peak; peak(2kb mean) 394 (WT), 807 (wpl1), 243 (eco1)
partial
C3
Reported
Inactivation of Eco1 reduced Pds5 association throughout the genome compared with Scc1 (Fig 7)
Reproduced
genome-wide mean eco1/WT: Pds5=0.388 (reduced to 39%), Scc1=1.104 (unchanged) -> Pds5 reduced far more than Scc1
within tolerance
C4
Reported
The eco1 effect on Pds5 was even more pronounced in wpl1 (rad61) mutants (Fig 7)
Reproduced
Pds5 eco1-wpl1/wpl1=0.269 (27%) < eco1/WT=0.388 (39%) -> larger reduction in wpl1 background
within tolerance
C5
Reported
Fig 7D: profiles plotted as percentage of wpl1 average reads of Scc1/Pds5
Reproduced
normalization step reproduced; Pds5-eco1 is the lowest curve, Scc1-eco1 not reduced
partial

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 64/100

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)
Minor / cosmetic deviation
+1 pts
From: Q2 · Endpoint comparability 🟡
Concordant (toward reproduced)
All content-critical questions reproduced
-4 pts
From: Q7 · Core claim 🟢
Code + data deposited & functional
-2 pts
From: Data & code availability Available & functional
Total score -5

This is a clean, faithful reproduction: the figure-generating step of Fig 7B/C/D was replayed with the authors' own filter60.py over the deposited GSE120138 calibrated BigWigs, and the central claim — eco1 specifically collapses Pds5 genome-wide occupancy (eco1/WT=0.388) while leaving Scc1 unchanged (1.104), worse in wpl1 (0.269) — reproduces directionally 1:1 with no fabrication signal. The only caveats are on our/ data-presentation side, not the authors': the reported panels are qualitative profiles (no numbers to grade exactly), and the upstream spike-in calibration was taken as given rather than re-derived. Severity is negligible and the core conclusion fully holds.

🤝
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.

118.6 k
tokens (I/O) · 9 M incl. cache
20 min
runtime · 0.01 CPU-h
1.9 GB
peak RAM
3 (1 failed)
HPC jobs
hummel
machine