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Table 1 — Predicted Non-Canonical DNA Structure Sequences (PNCSS) by rDNA Region

Counts of RLFS, G4FS, and iMFS (with template/non-template strand breakdown) across the reconstructed human rDNA unit (KY962518.1 + ~2 kb promoter from IGS), extracted from the in silico mapping study rDNA PNCSS computational mapping study:

Reported observations: spacers (promoter, ETS, ITS) and the 28S region are PNCSS-enriched; 18S and 5.8S are depleted; G4FS and RLFS co-localize strongly; iMFS are almost exclusively non-template strand except in IGS and 3'ETS.

Table 2 — Pol I Occupancy Correlation Framework

The study reports an inverse association between PNCSS density and RNA Pol I occupancy (POLR1A ChIP-seq, George et al. 2023, via deepTools multiBigwigSummary, 100-bin averaging), most pronounced in spacer regions. The correlation itself is directional/qualitative in the extracted record — exact Pearson/Spearman coefficients per region are not supplied and should be treated as unknown.

• Known: region-level PNCSS counts (Table 1); inverse PNCSS–Pol I association in spacers; RLFS–G4FS co-localization; vertebrate conservation (human, macaque, mouse, chicken).
• Inferred: PNCSS-rich spacers may act as Pol I transcriptional checkpoints — author interpretation, not demonstrated causally.
• Uncertain: no wet-lab validation of NCS formation in vivo; reconstructed reference unit ignores copy-number variation; 100-bin averaging may mask locus-scale detail; algorithm-specific prediction bias (QmRLFS-Finder vs DeepER divergence) is unresolved.

Analysis Plan for Pol I Correlation Quantification

• Obtain scripts and sequences from the deposited repository (github.com/adalaj/rDNA_project); verify Pol I bigwig per-bin values against multiBigwigSummary output.
• Compute per-region Spearman and Pearson correlations of total PNCSS density (and per structure type) against POLR1A ChIP-seq signal, with bin-level scatter plots and permutation p-values (10,000 circular permutations to respect local autocorrelation).
• Stratify by template vs non-template strand for RLFS/G4FS to test the strand-specific checkpoint model; repeat for promoter ±1 kb windows.
• Control for GC content and mappability (rDNA low-mappability regions) as confounders via partial correlation.
• Cross-species check: recompute counts on macaque, mouse, and chicken rDNA units and test conservation of the inverse correlation.

 BGPT Paper Review

Study Novelty

First locus-wide computational map of RLFS, G4FS, and iMFS across the human rDNA unit with strand resolution and integration with Pol I ChIP-seq; no prior comparable rDNA-scale NCS atlas exists.

Scientific Quality

Rigorous multi-tool computational workflow with deposited code and cross-species checks, but entirely predictive — no experimental validation of NCS formation, and correlation depends on external ChIP-seq from limited conditions.

Study Generality

Concepts generalize to any GC-rich repetitive locus and to vertebrate rDNA broadly; rDNA-specific quantitative conclusions remain locus-bound.

Study Usefulness

Provides a reusable sequence-annotation resource, testable regulatory-checkpoint hypothesis, and therapeutic angles (G4 stabilizers, Pol I inhibitors); full utility awaits experimental confirmation.

Study Reproducibility

All scripts on GitHub, public reference sequences (KY962518.1, T2T-CHM13v2.0), public Pol I ChIP-seq data, and named prediction tools with defined motifs.

Explanatory Depth

Mechanistically plausible strand-specific checkpoint model tying NCS density to Pol I occupancy, supported by co-localization and conservation, but causal depth is limited by lack of in vivo functional assays.