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.
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.
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.
Know what changed, what holds up, and what remains uncertain. Every Friday. No ads.