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     Quick Analysis Plan



    A rigorous factorial design (2 bacterial strains × 2 treatments) with n≥8 per group yields adequate power to detect FTIN-mediated AHR/TERT activation in SNU-C4 xenografts, analyzed by DESeq2 differential expression, LC-MS targeted quantification, and TRAP telomerase activity, with falsification via ΔtnaA null and inhibitor-occupancy-without-transcription-change controls.


     Long Analysis Plan



    Experimental Design: FTIN–AHR–TERT Axis in SNU-C4 Xenografts

    The experiment is a 2×2 factorial design: bacterial strain (WT Fn vs ΔtnaA) × treatment (PAS-B inhibitor vs vehicle), yielding 4 groups per bacterial condition (WT+vehicle, WT+inhibitor, ΔtnaA+vehicle, ΔtnaA+inhibitor) plus a no-bacteria vehicle baseline (n=5 groups total). SNU-C4 is selected because it is AHR-responsive to FTIN (unlike HCT116 or HT-29) and shows >3× TERT mRNA upregulation with FTIN treatment .

    Sample size: n=8 mice per group (40 total) provides ~80% power at α=0.05 to detect a 1.5-fold change in tumor volume given the reported n=5 per group in the original Fn xenograft experiment . Increasing to n=8 accounts for xenograft dropout and enables mixed-model repeated-measures analysis of tumor growth curves.

    Bioinformatics Analysis Pipeline

    RNA-seq processing: FastQC → Trimmomatic v0.36 → STAR v2.5.2b → featureCounts → DESeq2 for differential expression (as used in the source study ). Primary endpoint: TERT log2 fold-change and AHR pathway gene set enrichment (CYP1A1, CYP1B1, NQO1, AHRR) using fgsea/GSEA against Hallmark_Aryl_Hydrocarbon_Receptor_Signaling.

    Key contrast pairs: (1) WT+vehicle vs ΔtnaA+vehicle → isolate FTIN-dependent transcription; (2) WT+inhibitor vs WT+vehicle → PAS-B inhibitor effect on AHR/TERT signature; (3) Interaction term (strain × treatment) in a DESeq2 LRT model tests whether the inhibitor specifically blocks FTIN-driven transcription.

    TRAP assay analysis: Telomerase activity normalized to protein input; comparison across groups by one-way ANOVA with Tukey post-hoc; primary prediction: WT+vehicle > WT+inhibitor ≈ ΔtnaA groups.

    LC-MS FTIN quantification: Targeted MRM on triple-quadrupole; internal standard isotope-labeled FTIN; report nmol/g tissue; LOD established from blank tumor homogenates.

    Falsification Criteria

    • ΔtnaA null: If ΔtnaA tumors show equivalent FTIN levels, TERT expression, telomerase activity, and tumor growth to WT+vehicle, the FTIN-specific mechanism is falsified (tnaA pleiotropy confound must be excluded by complemented strain rescue ).
    • Inhibitor occupancy-without-transcription: If PAS-B inhibitor achieves AHR binding occupancy (demonstrated by PAL competition assay) yet fails to suppress TERT/AHR-responsive gene expression in RNA-seq, the transcriptional mechanism is falsified—suggesting either insufficient intratumoral drug concentration or non-PAS-B AHR activation pathways.

    Critical Limitations and Blindspots

    The tnaA deletion has pleiotropic effects on L-tryptophan metabolism beyond FTIN, potentially confounding phenotypic differences . A complemented strain (ΔtnaA/ptnaA) is essential as a third bacterial condition to attribute effects specifically to FTIN rather than other tryptophan metabolites. Additionally, FTIN is produced by 9 bacteria across 7 species in 5 genera (notably Porphyromonas spp.), so other intratumoral microbes may contribute FTIN independently of Fn . 16S rRNA sequencing of excised tumors (DADA2 pipeline) is recommended to control for endogenous microbiome composition.



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    Updated: October 13, 2026

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    Generated scientific data; not direct experimental measurements.

     Hypothesis Graveyard



    'Fusobacterium abundance directly predicts intratumoral AHR activation' — directly contradicted by the reported lack of correlation between Fusobacterium genus abundance and FTIN levels in human CRC tissues, likely because multiple bacterial species produce FTIN.

     Science Art


    Design Experiments: Microbiome interaction experiment in CRC xenografts: establish SNU-C4 xenografts, inject intratumoral WT Fn or ΔtnaA, treat cohorts with PAS-B inhibitor vs vehicle; endpoints: tumor growth, intratumoral FTIN by LC-MS, telomerase TRAP assay, RNA-seq for AHR/TERT signature — falsifiable by absence of effect when ΔtnaA is used or if inhibitor fails to change intratumoral transcription despite occupancy. Science Art

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