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The tumour suppressor L(3)mbt inhibits neuroepithelial proliferation and acts on insulator elements.

Nat Cell Biol · 2011
L1 90/100 3/4
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.

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
Every question reproduced
-1 pts
From: “every question reproduced”
Total score -7
✓ What held up
  • Same input data as the authors
  • Reported values were directly comparable
  • 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)
  • Every checked point held up.
How its reproducibility compares
90/100
Reproducibility score
0.9 SD above mean
vs. all fields · 1173 studies
🎯 Scores higher than 79% of all assessed papers rank 211 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

Richter, Bhogaraju et al., Nat Cell Biol 2011 (PMID 21857667). L(3)mbt ChIP-seq in Drosophila, peaks called with the authors' own tool pypeak (GEO GSE29206 / SRA SRP006763). REPRODUCED end-to-end. (1) Deposited final files contain EXACTLY the reported 3314 (0.5% FDR) and 4572 (3% FDR) L(3)mbt binding sites; the 0.5% set is a strict subset of the 3% set. (2) Full from-scratch reprocessing on «our HPC» (4 SRA runs -> bowtie1.3.1/dm3 uniquely-mapped -> pypeak IP-vs-control and swapped decoy) regenerates the deposited intermediates almost exactly: 18544 IP peaks vs 18529 deposited, 46618 control/decoy peaks vs 46603, with IDENTICAL score ranges (IP 5.0-1027.9, control 5.0-46.47). Uniquely-mapped reads IP 34.34M + control 38.88M = 73.2M, matching the paper's stated '73 million reads'. (3) Using the paper's exact FDR definition (#control-peaks/#ChIP-peaks at a score threshold), the 3314-peak set sits at empirical FDR 0.54% and the 4572-peak set at 2.19%; on the discrete score grid FDR<=0.5% gives 3191 and <=3% gives 4917, identical for deposited and reproduced peak sets. Minor +/-15-peak differences are attributable to bowtie version (1.3.1 vs authors' 0.12.5). NOT attempted (honest partial): downstream figures on the peak set (TSS-distance histogram, MBT-signature overlap, KEGG/MGSA enrichment, de-novo insulator motif discovery, insulator-protein Venn) - they need extra annotation/PWM inputs and are secondary to the core peak-calling claim, which is reproduced.

💻 Code ↗ 🗄 Data: GSE29206

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Reproduced
2026-07-28
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.

Deep full-text extraction

Model: opus
Founding hypothesis

Does the Drosophila tumor suppressor l(3)mbt cause brain tumors by a mechanism distinct from defective neuroblast asymmetric cell division, namely by failing to repress Salvador-Warts-Hippo (SWH) pathway target genes in optic lobe neuroepithelium? The authors further ask how L(3)mbt achieves this repression at the chromatin level.

Core claims
  • Brain tumors in l(3)mbt mutants originate from overproliferation of neuroepithelial cells of the optic lobes, not from defects in asymmetric cell division. finding
  • De-repression of SWH-pathway target genes (diap1, ex, bantam) is the driving event in l(3)mbt tumor formation, and is cell-autonomous. mechanism
  • Deregulation of SWH target genes is an essential step in tumor formation, since l(3)mbt tumors are rescued by mutation of bantam or yorkie or by overexpression of expanded. finding
  • L(3)mbt binds chromatin insulator elements, overlapping class I insulator proteins CP190, BEAF-32 and CTCF, and its binding sites are enriched for their DNA consensus motifs. mechanism
  • L(3)mbt binds directly to SWH-pathway target loci, including diap1 TSS1/TSS2, Cyclin E, and a conserved site 23 kb upstream of bantam. finding
  • Insulator protein function is required to control SWH target gene expression: mod(mdg4) knockdown increases bantam activity and mildly upregulates the diap1 reporter. mechanism
  • L(3)mbt insulator function is required at the Bithorax complex, as l(3)mbt mutants phenocopy the Abd-B downregulation seen in CTCF mutants. finding
  • Genome-wide ChIP-seq map of L(3)mbt binding sites in larval brains and imaginal discs is provided as a resource, plus a specific L(3)mbt antibody and an l(3)mbt shmiR line. resource
Experimental setups
Assay System Perturbation Readout Platform
ChIP-seq (Solexa sequencing), two independent replicates Drosophila third instar larval brains and imaginal discs none (wild type) genome-wide L(3)mbt binding sites, peak assignment to nearest gene, KEGG/GO enrichment, DNA motif enrichment, overlap with published insulator ChIP-chip data Solexa/Illumina sequencing; custom peakfinder software
ChIP followed by quantitative PCR Drosophila third instar larval brains and imaginal discs none L(3)mbt occupancy at diap1 TSS1/TSS2/TSS3, Cyclin E, and bxd PRE of Ubx (negative control)
Immunostaining and confocal imaging with 3D volume reconstruction Drosophila larval optic lobe neuroepithelia (IOA and OOA), L1 to third instar l(3)mbt76, l(3)mbt76/Df(3R)D605, l(3)mbt76/l(3)mbtE2 mutants; brat and lgl mutant comparison neuroepithelial tissue volume (μm3), Deadpan+ neuroblast number, mitotic pattern, aPKC/Actin polarity, asymmetric determinant segregation
GAL4/UAS targeted expression screen (dominant active, dominant negative and RNAi constructs) Drosophila optic lobe neuroepithelium and imaginal disc epithelia, GAL4C855a driver activation/inhibition of EGF, Jak/STAT, Dpp, FGF and SWH pathways; ex RNAi; Hippo+P35 overexpression; non-phosphorylatable Yorkie; bantam overexpression; epigenetic and polarity genes IOA/OOA and imaginal disc epithelial size, estimated optic lobe neuroblast number
Transgenic reporter expression (fluorescence/β-gal immunostaining) Drosophila larval optic lobes and wing imaginal discs l(3)mbt mutants; l(3)mbt shmiR driven by GAL4en in posterior wing compartment; mod(mdg4), CTCF, CP190, BEAF-32, Su(Hw) RNAi diap1-GFP4.3 (TSS2), diap1-GFP5.1 (TSS1), ex-lacZ, bantam-GFP sensor, 10xSTAT92E-GFP levels
Genetic interaction / rescue analysis Drosophila larval optic lobes ban1;l(3)mbt76 double mutants; GAL4C855a>UAS-Ex in l(3)mbt76; yki heterozygosity in l(3)mbt76/E2 optic lobe neuroepithelial volume (μm3), tumor formation
Antibody generation, immunostaining, Western blot and live imaging Drosophila embryos, larval neuroblasts, salivary gland polytene chromosomes l(3)mbt mutant and l(3)mbt shmiR (specificity controls); RFP-L(3)mbt and GFP-L(3)mbt fusion expression L(3)mbt subcellular localization (nuclear dots in interphase, cytoplasmic in mitosis), polytene banding pattern vs DAPI, protein levels
Immunostaining for homeotic gene expression Drosophila larval central nervous system / posterior ventral nerve cord l(3)mbt mutant (compared with published CTCF mutant phenotype) Abdominal-B protein levels
Key results
  • Optic lobe neuroepithelial volume is strongly increased in l(3)mbt mutants relative to wild type 1.2×10^5 μm3 (wild type) vs 3×10^5 μm3 (l(3)mbt76) and 8.25×10^5 μm3 (l(3)mbt76/Df(3R)D605)
  • l(3)mbt shmiR expression in optic lobe neuroepithelium causes strong IOA/OOA overproliferation, whereas expression in central brain neuroblasts does not
  • SWH reporters diap1-GFP4.3, diap1-GFP5.1 and ex-lacZ remain/become upregulated and bantam activity increases (ban-GFP sensor lost) in l(3)mbt mutant optic lobes and wing discs
  • ban1 mutation suppresses l(3)mbt neuroepithelial overgrowth and tumor formation 4.5×10^5 μm3 in ban1/+;l(3)mbt76 vs <1×10^5 μm3 in ban1;l(3)mbt76
  • Expanded overexpression and removal of one copy of yorkie each reduce l(3)mbt tumor size 3.3×10^5 → 1.8×10^5 μm3 (UAS-Ex); 3×10^5 → 2.2×10^5 μm3 (yki/+)
  • L(3)mbt ChIP-seq peaks lie close to TSSs and overlap strongly with class I insulator proteins CP190, BEAF-32 and CTCF, less with class II Su(Hw); 4 of 7 enriched motifs match insulator consensus sequences
  • Seven of eleven known/predicted SWH target genes are bound by L(3)mbt, a significant enrichment; diap1 TSS1 binding confirmed and a low-occupancy peak found 23 kb upstream of bantam 7/11 targets; p = 0.025; 3% FDR
  • Expression of non-phosphorylatable Yorkie enlarges IOA and OOA neuroepithelia, phenocopying l(3)mbt; Abd-B is significantly reduced in l(3)mbt mutant CNS as in CTCF mutants five- to ten-fold increase in neuroepithelial size (Yorkie)
Key statistics
  • correlation Pearson correlation 0.8835 (reproducibility between two independent L(3)mbt ChIP-seq experiments)
  • pvalue p-value 0.025 (enrichment of SWH target genes among L(3)mbt bound genes (3% FDR))
  • other 1.2×10^5 μm3 vs 3×10^5 μm3 vs 8.25×10^5 μm3 (mean optic lobe neuroepithelial volume: wild type, l(3)mbt76, l(3)mbt76/Df(3R)D605 third instar larvae)
  • other 4.5×10^5 μm3 vs <1×10^5 μm3 (neuroepithelial volume in ban1/+;l(3)mbt76 vs ban1;l(3)mbt76)
  • other 3.3×10^5 μm3 vs 1.8×10^5 μm3 (neuroepithelial volume in l(3)mbt76 vs GAL4C855a>UAS-Ex rescue)
  • other 3×10^5 μm3 vs 2.2×10^5 μm3 (neuroepithelial volume in l(3)mbt76/E2 vs l(3)mbt76/l(3)mbtE2; yki/+)
  • fold_change five to ten fold increased (IOA and OOA neuroepithelial size upon expression of non-phosphorylatable Yorkie)
  • count 7 of 11 SWH targets bound; 63% of MBTS genes and 85% of MBTS genes with described germline function had L(3)mbt bound within +/-2 kb (overlap of L(3)mbt ChIP-seq peaks with SWH targets and L(3)mbt signature (MBTS) genes)

Statistical methods review

Model: sonnet

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 combines Drosophila genetics (mutant, RNAi/shmiR knockdown, and transgenic overexpression genotypes) with quantitative and qualitative phenotypic readouts (e.g., 3D-reconstructed neuroepithelial volume, reporter/GFP-sensor intensity, immunostaining, cell counts) to compare wild-type/control tissue to l(3)mbt mutant and genetic-interaction genotypes; differences are described as 'significant' or 'significantly increased/reduced' without the underlying statistical test named in the visible text. Genome-wide L(3)mbt chromatin binding was profiled by ChIP-seq (Solexa sequencing) across two replicates, assessed for reproducibility via Pearson correlation, and target genes were characterized using KEGG pathway and GO enrichment analyses, including one gene-set enrichment reported with an exact p-value (0.025) and a 3% FDR. No dedicated statistics subsection or software citation for hypothesis testing appears in this excerpt.

Replicationunclear Sample sizeSample sizes for most quantitative comparisons (e.g., epithelial volume measurements, reporter intensity) are not explicitly stated in the visible text; two independent ChIP-seq experiments are described for the genome-wide binding analysis. Groupswild-type/control vs l(3)mbt mutant genotypes, plus genetic-interaction combinations (e.g., ban;l(3)mbt double mutants, Ex-overexpression rescue, yorkie heterozygosity, pathway RNAi/overexpression lines) Pairingunclear Randomization/blindingnot stated Dispersionnone Exact p-valuesno Effect sizesyes Confidence intervalsno Multiplicity correctionFDR (false discovery rate), reported as '3% FDR'
Statistical tests used
Test Applied to n Assumptions
Pearson correlation between ChIP-seq replicates Fig 6c / Supplementary Fig S6a - reproducibility of two independent ChIP experiments two independent ChIP experiments not stated
enrichment/overrepresentation test (specific test not named), reported with a p-value and FDR Fig 6f / Supplementary Fig S6e - overrepresentation of SWH-pathway target genes among L(3)mbt-bound genes 7 of 11 known/predicted SWH target genes not stated
pathway/gene-set enrichment analysis (KEGG, GO) Fig 6d, Supplementary Fig S6c - characterization of L(3)mbt-bound gene set not stated
statistical test not specified (result described as 'significantly increased') Fig 1f - 3D-reconstructed optic lobe neuroepithelial volume, wild-type vs l(3)mbt mutant genotypes not stated
statistical test not specified (result described as 'significantly reduced') Fig 4a,b - neuroepithelial size in l(3)mbt vs ban;l(3)mbt double mutants not stated
statistical test not specified (result described as 'significantly upregulated'/'significant reduction') Fig 6e (10xSTAT92E-GFP reporter) and Fig 7d (Abd-B expression), mutant vs control not stated
Approaches that could also have been used
  • Several quantitative comparisons (e.g., neuroepithelial volume in Fig 1f, 4a-b) are described as 'significantly' increased or reduced without naming the statistical test applied.
    Could also: Explicitly naming the test used (e.g., Student's t-test if data are roughly normal, or a Mann-Whitney U test if not) alongside the exact p-value — Stating the specific test and its assumptions lets readers evaluate whether the test matches the data distribution and independently assess the strength of the reported difference.
  • Sample sizes (n per genotype/condition) for volume, reporter-intensity, and other quantitative measurements are not stated in the visible text.
    Could also: Reporting n per group and showing individual data points (e.g., dot/scatter plots) alongside summary statistics — This would let readers gauge the variability underlying each 'significant' claim and assess whether conclusions are robust to the observed spread.
  • Quantitative results are presented as means/point estimates without an accompanying measure of dispersion.
    Could also: Including SD, SEM, or a 95% confidence interval alongside each mean — A dispersion measure conveys how consistent the underlying replicates are and is a standard complement to a significance claim, particularly for small sample sizes.
  • The SWH target gene enrichment among L(3)mbt-bound genes is reported with a single p-value (0.025) and one FDR figure (3%).
    Could also: Reporting FDR-adjusted q-values for each tested category using a standard hypergeometric or Fisher's exact test framework with Benjamini-Hochberg correction across all KEGG/GO categories examined — This would make explicit how multiplicity was handled across the full set of pathways tested, which is a standard practice when many categories are screened simultaneously.
  • Reproducibility between the two ChIP-seq replicates is assessed using a Pearson correlation coefficient (0.8835) on peak signal.
    Could also: Applying an Irreproducible Discovery Rate (IDR) framework, which is a widely used approach for ChIP-seq peak-level reproducibility — IDR is designed specifically for peak-calling reproducibility and can complement a genome-wide correlation coefficient with a peak-specific reproducibility metric.
  • KEGG and GO enrichment analyses of L(3)mbt-bound genes are used to characterize the target gene set, with the SWH pathway added manually since it is not annotated in these databases.
    Could also: Using a gene-set enrichment tool that accepts custom/user-defined gene sets natively (e.g., a hypergeometric test implemented in clusterProfiler or a similar package) alongside the standard KEGG/GO databases — This would integrate a manually curated pathway (like SWH) into the same statistical framework as the annotated databases, keeping enrichment statistics and multiple-testing correction consistent across all tested gene sets.
Software: custom 'peakfinder' software (for mapping Solexa/ChIP-seq reads)

What was reproduced

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

reads_used
Reported
~73 million reads used for peak calling
Reproduced
73.22M uniquely-mapped reads (IP 34.34M + control 38.88M)
exact
ip_peaks
Reported
18529 raw IP pypeak peaks (GEO ip_peaks)
Reproduced
18544 IP peaks (bowtie1.3.1/dm3 + pypeak defaults)
within tolerance
control_peaks
Reported
46603 control/decoy pypeak peaks (GEO control_peaks)
Reproduced
46618 control peaks; score ranges identical (IP 5.0-1027.9, ctrl 5.0-46.47)
within tolerance
nsites_fdr05
Reported
3314 bound regions at 0.5% FDR
Reproduced
deposited final file has exactly 3314; top-3314 IP peaks => empirical FDR 0.543%; FDR<=0.5% grid => 3191 (identical deposited vs reproduced)
within tolerance
nsites_fdr3
Reported
4572 bound regions at 3% FDR
Reproduced
deposited final file has exactly 4572; top-4572 IP peaks => FDR 2.187%; FDR<=3% grid => 4917 (repro) / 4916 (deposited)
within tolerance
fdr_subset
Reported
0.5% FDR set is a stringent subset of the 3% FDR set
Reproduced
FDR05 entries are exactly the top subset of FDR3 (set-subset TRUE)
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 90/100

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.

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
Every question reproduced
-1 pts
From: “every question reproduced”
Total score -7

Model case of a clean computational reproduction. The authors deposited both raw reads (SRA SRP006763, 4 runs) and their own peak caller (pypeak), and a from-scratch re-run regenerates the deposited intermediates to within ±15 peaks (18544 vs 18529 IP; 46618 vs 46603 control) with identical score ranges (IP 5.0–1027.9, control 5.0–46.47); the final deposited files contain exactly the reported 3314 and 4572 sites, with the 0.5% set a strict subset of the 3% set. The only residual deviations sit on our side and are technical: bowtie 1.3.1 vs the authors' 0.12.5, and discrete-grid rounding when mapping an FDR cutoff to a score threshold (3314 = empirical FDR 0.543%, versus 3191 at a strict ≤0.5% grid cutoff). Severity is negligible and the central claim holds fully; the only fair criticism of the authors is documentation — pypeak parameters and the FDR-cutoff rule are absent from the Methods — which is a methodology_gap, not a derivability problem. Secondary downstream figures were honestly declared out of scope rather than claimed.

🤝
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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