Alginate oligosaccharides improve germ cell development and testicular microenvironment to rescue busulfan disrupted spermatogenesis.
Part of the results reproduced; minor but material deviations remained.
Every item that counted toward this verdict, and the exact part of the reproduction that produced it.
- ✓Same input data as the authors
- ✓Reported values were directly comparable
- 🟡A deviation arose in the data or preprocessing
- 🟡A deviation was attributed to the published material
- 🟡Reported values were not (fully) derivable from the shared data
- 🟡The deviation was non-trivial in magnitude
- 🟡The central claim did not (fully) hold under reproduction
- 🟡Overall, the reproduction showed a material discrepancy
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.
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- Reproduced
- 2026-06-19
- Rubric version
- v1.0
- Assessed by
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🤖 AI curator · claude (ai-curator room) · v1.0 · run #1 2026-06-18no human curator yet
- Last updated
- 2026-07-29
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: opusThe study tests whether alginate oligosaccharides (AOS) can mitigate busulfan-induced disruption of spermatogenesis and rescue germ cell development and the testicular microenvironment in mice, examined at the single-cell level.
- ★ AOS rescues busulfan-disrupted spermatogenesis in vivo by increasing the proportion of germ cells (spermatocytes and spermatids) finding
- ★ AOS increases sperm motility and concentration in busulfan-treated mice finding
- ★ AOS modifies transcription factors/regulons (e.g., Jund, Wt1, Lef1, Elf2) to regulate gene expression and rescue spermatogenesis mechanism
- ★ AOS promotes ex vivo expression of genes important for spermatogenesis (e.g., PRM1, PRM2, TNP1, TNP2, ODF1) finding
- ★ AOS improves blood and testicular metabolomes and gut microbiota to support recovery of spermatogenesis finding
- AOS alters key proteins involved in germ cell development and stress (increased piwil1, ZFP37, p-ERK; decreased Gpx1 and caspase 8) in busulfan-treated testes mechanism
- Single-cell RNA sequencing can resolve testicular germ and somatic cell populations to assess spermatogenesis rescue method
- AOS could be used to improve fertility in patients undergoing chemotherapy and combat other causes of infertility finding
| Assay | System | Perturbation | Readout | Platform |
|---|---|---|---|---|
| single-cell RNA-seq (10x scRNA-seq) | murine (ICR mouse) testis tubular cells, in vivo | busulfan (40 mg/kg) and/or AOS (10 mg/kg BW) | cell type proportions, gene expression, regulon activity | 10x Genomics |
| computer-assisted sperm assay (CASA) | mouse spermatozoa | busulfan and/or AOS | sperm motility and concentration | CASA |
| immunofluorescence staining | mouse testis samples | busulfan and/or AOS | marker-positive cell counts (DDX4, DAZL, SYCP3, TNP1, SOX9) | — |
| Western blotting | mouse testis | busulfan and/or AOS | protein levels (Jund, Wt1, piwil1, ZFP37, p-ERK, Gpx1, caspase 8) | — |
| bulk RNA-seq | cultured mouse testis tissue, ex vivo | busulfan in vivo then AOS in culture (10 or 50 µg/mL), 48 h | differentially expressed genes | — |
| LC/MS metabolomics | mouse plasma (blood) and testicular tissue homogenate | busulfan and/or AOS | blood and testis metabolites | liquid chromatography-mass spectrometry |
| 16S rRNA sequencing | mouse intestinal digesta | busulfan and/or AOS | gut microbiota composition | — |
| histopathological analysis | mouse testis | busulfan and/or AOS | testicular histology | — |
- ▲ BA10 increased sperm motility versus busulfan alone (B0) 4.2-fold
- ▲ BA10 increased sperm concentration versus busulfan alone (B0) 3.1-fold
- ▲ Spermatocyte (SPC) proportion: A0 58.92%, A10 48.46%, B0 13.87%, BA10 67.87% — AOS restored SPCs after busulfan 13.87% to 67.87%
- ▲ Spermatid (ST) proportion: A0 29.48%, A10 40.67%, B0 0.36%, BA10 12.44% — AOS increased STs after busulfan 0.36% to 12.44%
- ▲ SPG proportion lowest in B0 (8.50%) and highest in BA10 (19.64%) 8.50% to 19.64%
- ▲ A10 modestly increased sperm motility and concentration versus A0 113.8% motility; 116.8% concentration
- – 185 differentially active regulons identified across SPG/SPC/ST clusters; Jund enriched in A10, Wt1 in BA10 185 regulons
- – Ex vivo BA10 showed 345 genes up and 835 down versus B0; up-regulated genes enriched for spermatogenesis 345 up / 835 down
- fold_change 4.2-fold (sperm motility increase BA10 vs B0)
- fold_change 3.1-fold (sperm concentration increase BA10 vs B0)
- count 8941, 9682, 4659, 3778 cells (testicular cells obtained for A0, A10, B0, BA10 scRNA-seq)
- count 27060 cells in 16 clusters (total cells organized for scRNA-seq clustering)
- count 185 regulons (differentially active regulons in SCENIC analysis)
- count 345 up / 835 down (DEGs BA10(Ex) vs B0(Ex))
- count 681 up / 808 down (DEGs BA50(Ex) vs B0(Ex))
- other 574 SPG, 629 SPC, 497 ST, 446 LC/SC marker genes (marker genes per cluster for enrichment analysis)
Statistical methods review
Model: opusA 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 used a four-group in vivo design (vehicle, AOS, busulfan, busulfan+AOS) plus a six-group ex vivo culture design, profiling testes by 10x single-cell RNA sequencing, bulk RNA sequencing, and LC/MS metabolomics, with confirmation by histology, immunofluorescence, and Western blotting. High-dimensional data were analyzed with standard pipelines (Seurat clustering and t-SNE, Monocle pseudotime, SCENIC regulon inference, and GO/protein-protein interaction enrichment reporting p-values). Phenotypic outcomes such as sperm motility and concentration were reported as percentages and fold-changes between groups and described as significant, though the specific inferential tests and sample sizes are not detailed in the available text.
| Test | Applied to | n | Assumptions |
|---|---|---|---|
| unspecified significance test for sperm motility/concentration (described as 'significantly' increased) | Figure 1B-C, sperm motility and concentration by CASA across A0/A10/B0/BA10 | — | not stated |
| differential expression analysis for scRNA-seq cluster marker genes (Seurat) | Figure 1E-F, S1, S3; identification of cluster marker genes | — | not stated |
| SCENIC AUCell regulon activity analysis | Figure 2I-J; 185 regulons across SPG/SPC/ST clusters | — | na |
| bulk RNA-seq differential expression (up/down-regulated gene calls) | Figure 4A-B; ex vivo comparisons A0 vs A10/A50, B0 vs BA10/BA50 | — | not stated |
| GO / pathway and protein-protein interaction (MCODE) enrichment analysis reporting p-values | Figure 3A-E, Figure 4C-E; functional enrichment of marker/DE genes | — | na |
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Group differences in sperm motility and concentration were described as significant and summarized with percentages and fold-changes.↳ Could also: Reporting the per-group n, the specific test used (e.g., one-way ANOVA across the four groups with a post-hoc procedure such as Tukey HSD), and a dispersion measure (SD, IQR, or a 95% CI). — Naming the test, n, and spread alongside the effect size makes the inferential basis transparent and lets readers gauge precision, and a single ANOVA-plus-post-hoc framework handles all four-group comparisons together.
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Functional enrichment (GO and MCODE) results were colored/ranked by p-value.↳ Could also: Reporting adjusted p-values from a multiple-testing procedure such as Benjamini-Hochberg FDR alongside the raw p-values. — FDR adjustment is standard for the large families of terms tested in enrichment analysis and conveys how the term ranking holds up after accounting for the number of comparisons.
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Differentially expressed genes in the bulk RNA-seq comparisons were reported as counts of up- and down-regulated genes.↳ Could also: Stating the modeling framework and thresholds (e.g., DESeq2 or edgeR/limma-voom with the fold-change and adjusted-p cutoffs used). — Specifying the DE method and cutoffs makes the gene lists reproducible and clarifies how significance and effect size were jointly defined.
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Cluster identities and marker genes were assigned from Seurat clustering and known markers.↳ Could also: Reporting the marker-detection test (e.g., Wilcoxon rank-sum as used by Seurat's FindMarkers) and any minimum fold-change/percentage thresholds. — Documenting the marker test and thresholds clarifies how cluster-defining genes were selected and supports replication of the cell-type annotation.
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Western blot and immunofluorescence comparisons were described qualitatively (e.g., 'increased', 'more abundant').↳ Could also: Quantifying band/signal intensity across biological replicates with a summary statistic and a corresponding test. — Adding densitometry/quantification with replicate-level statistics complements the representative images with a numeric measure of the difference.
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.
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Sperm concentration is increased 3.1-fold by AOS in busulfan-treated mice versus busulfan alone.other mouse spermatozoa up 2020×1papers★ This paper is the founder (earliest)
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Sperm motility is increased 4.2-fold by AOS in busulfan-treated mice versus busulfan alone.other mouse spermatozoa up 2020×1papers★ This paper is the founder (earliest)
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Ex vivo AOS treatment of busulfan-injured testis upregulates 345 spermatogenesis-related genes versus busulfan alone.RNA-seq mouse testis up 2020×1papers★ This paper is the founder (earliest)
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JUND regulon activity is enriched in spermatogonia of AOS-treated mice among 185 differentially active regulons across germ cell clusters.scRNA-seq mouse testis up 2020×1papers★ This paper is the founder (earliest)
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Spermatid proportion is restored from 0.36% to 12.44% by AOS treatment in busulfan-depleted mouse testis.scRNA-seq mouse testis up 2020×1papers★ This paper is the founder (earliest)
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Spermatocyte proportion is rescued from 13.87% to 67.87% by AOS treatment in busulfan-injured mouse testis.scRNA-seq mouse testis up 2020×1papers★ This paper is the founder (earliest)
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Spermatogonium proportion is rescued from 8.50% (busulfan alone) to 19.64% (AOS+busulfan) in mouse testis.scRNA-seq mouse testis up 2020×1papers★ This paper is the founder (earliest)
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.
No assessed neighbours yet — the network grows as more papers are assessed.
What was reproduced
The exact results taken into scope, with each reported value next to the value our attempt produced.
Scope — pmid-32194870
Paper: Zhao et al. 2020, Theranostics 10(7):3308–3324. "Alginate oligosaccharides improve germ cell development and testicular microenvironment to rescue busulfan disrupted spermatogenesis." DOI 10.7150/thno.43189 · PMID 32194870 · PMCID PMC7053202.
Code link (registry): https://github.com/aertslab/SCENIC — a third-party tool (gene regulatory network inference). Per BRIEF rule P16, applying SCENIC to the paper's own data is an equally valid reproduction. We additionally reproduce the upstream Seurat clustering that SCENIC and the rest of the scRNA-seq analysis depend on, because those steps produce the clearest, most checkable numbers.
Data: GEO GSE131629. Ships a processed expression matrix
GSE131629_Testis.AOS3_data.txt.gz (736 MB) covering all four groups, plus raw
FASTQ under SRA SRP199191 / BioProject PRJNA544236.
Groups: A0 = AOS0 (GSM3791446), A10 = AOS10 (GSM3791447),
B0 = B+A0 / busulfan (GSM3791448), BA10 = B+A10 / busulfan+AOS (GSM3791449).
In scope (pipeline-derived, computational)
| # | Result | Pipeline | Where in paper |
|---|---|---|---|
| C1 | Total cells analysed = 27,060 | CellRanger→Seurat QC | Results; design |
| C2 | Per-group cell counts: A0 8941, A10 9682, B0 4659, BA10 3778 | CellRanger→Seurat | Results |
| C3 | Cells organised into 16 clusters | Seurat (t-SNE/clustering) | Results, Fig 1D-E |
| C4 | 4 major cell-type groups w/ cluster membership: SPG=8,9,10; SPC=0,2,3,6,13,14,15; ST=1,4,7; LC/SC=5,11,12 | Seurat marker-based annotation | Results, Fig 1 |
| C5 | Cell-type proportions per group (Fig 1G): e.g. SPC A0 58.92%, A10 48.46%, B0 13.87%, BA10 67.87%; ST A0 29.48%, A10 40.67%, B0 0.36%, BA10 12.44%; SPG B0 8.50%, BA10 19.64% | Seurat | Fig 1G |
| C6 | Germ cells subclustered into 13 clusters | Seurat (germ-cell subset) | Results |
| C7 | Widely-expressed marker-gene counts: SPG 574, SPC 629, ST 497, LC/SC 446 | Seurat FindMarkers | Results |
| C8 | SCENIC: 185 regulons identified / active across groups | SCENIC | Results, Fig 2 |
| C9 | SCENIC group-enriched TFs: A0/A10 = Klf1, Jund, Sox6; BA10 = Lef1, Elf2; B0 = Wt1, Egr4 | SCENIC regulon activity | Results, Fig 2I |
Out of scope (wet-lab / manual / not computational)
- Western blot validation of Jund / Wt1 (Fig 2J) — wet-lab.
- Sperm counts, motility, testis histology, IHC/IF, qPCR, body/organ weights, hormone assays, fertility/litter outcomes — wet-lab.
- Metascape GO enrichment / PPI networks (Fig 3) — web-tool, manual, not pinnable to a runnable artifact with an exact expected number; not attempted unless time permits as a stretch.
Reproduction strategy
- Anchor on the shipped processed matrix (
...AOS3_data.txt.gz). It is the exact object the authors clustered, so C1/C2 (cell counts) are checkable directly from its dimensions + cell/group labels — the clearest 1:1 points. - Re-cluster with Seurat following the described workflow (Seurat + t-SNE) → reproduce C3 (16 clusters), C4 (cell-type membership), C5 (proportions). Cluster count depends on resolution; graded with tolerance + documented.
- Run SCENIC (the linked tool) on the matrix → C8 (regulon count) and C9 (group-enriched TFs). SCENIC is stochastic + threshold-dependent; graded with tolerance and full honesty about non-determinism.
Heavy compute (matrix load, Seurat, SCENIC + cisTarget mouse DBs) runs on «our HPC» SLURM; all data stays on «infra».
Assessments & scoring basis
Each contributor’s verdict, the per-question basis, and the auditable, itemised worksheet behind it.
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.
Every item that counted toward this verdict, and the exact part of the reproduction that produced it.
The shipped GSE131629 matrix lets us reproduce the cell-count claims exactly (C1 27060, C2 per-group counts) and the cluster counts at natural resolutions (C3=16, C6=13), and the central biology — busulfan depleting germ cells and AOS rescuing them — reproduces qualitatively. Deviations are on our methodology / authors' underspecification: the paper gives no clustering resolution, no annotation code, and no marker-gene threshold, so the exact Fig 1G proportions (esp. BA10) and the C7 marker counts diverge (including a SPC=0 artifact and a direction flip in BA10 SPG, 1.56% vs 19.64%). No fabrication signal — numbers plausibly derive from the data — but SCENIC (C8 185 regulons, C9 TFs) was still pending at submission, leaving Fig 2 unverified. Overall a solid-but-partial reproduction with explainable, input-side deviations.
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Reproduction footprint
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