Oncofusion

start / graph / ana-q141-the-summit-measure-passes-the-positive-control-the-bin-measure-failed

Analysisstrong confidence 4 of 5: Replicated in peer-reviewed work by more than one group.Q141-menin-at-fusion-targets

Summit containment passes the positive control that the bin-overlap measure failed, in all three HA batches

An earlier check of this dataset used a method that claimed the destroyed cancer protein was still sitting on most of its sites - which cannot be true. Switching to a stricter method gives 2-9% instead of 40-93%, which is what a destroyed protein should look like.

The same thing, for a scientist

Direct replication and extension of the corpus's own measurement-trap finding. Using **summit containment** (a control peak is retained only if a treated-arm peak summit falls inside it), the HA self-control gives **1.9%** retention in batch 1909x2 (12,017 control peaks), **6.4%** in 190814 (5,049 peaks) and **9.1%** in 1912x2 at 4 d (3,204 peaks). The corresponding treated/control median peak width ratios are **2.79, 1.93 and 2.18** - all above the pre-registered 1.3 re-score trigger, and all reproducing the corpus's recorded 1.92x width inflation (the 190814 batch matches it to two decimal places). The prior bin-overlap measure reported 40-93% for the same files. The 4.5-point spread between the two 3 h batches (1.9% vs 6.4%) is the **only** replicate-derived error estimate anywhere in this deposit, and it is an estimate on a near-total collapse: it does not bound a 20% effect on a channel that barely moves.

Go deeper
Top-decile figures, for comparability with the existing corpus entries
channelprior corpus figurerecomputed heredelta
MEN1 top-decile summit retention80.0%83.4%+3.4
DOT1L top-decile summit retention68.7%68.8%+0.1
HA peak width ratio1.92x1.93x (batch 190814)+0.01

The prior figures reproduce. The 3.4-point MEN1 difference is a top-decile definition difference (I rank by -log10 q). Nothing in the prior entries' arithmetic is wrong. What this beat changes is the inference drawn beside those numbers.

Scale and limits

No spike-in exists anywhere in GSE173599, so every number is a within-sample share, and the treated arms are scaled by a 21-gene housekeeping panel whose own raw 3 h H3K27ac ratio averages 0.809 and is forced to 1. A housekeeping normalisation DEFINES the global change to be zero, so only the DIFFERENCE between strata is measurable; a uniform genome-wide loss of any of these proteins would be invisible here. n = 1 per arm for every channel except HA, which has two independent 3 h batches. The cells are HCB1, transformed by KMT2A::MLLT3 (MLL::AF9) - NOT the index fusion of this project, KMT2A::AFF1 - and a prior beat in this corpus found that per-gene ordering transfers between MLLT3 and AFF1 lines while magnitude does not.

Facts and figures
scriptanalyses/menin-retention-by-ha-occupancy/analyze_peaks.py
statusrun
result summaryHA summit-containment self-control 1.9% / 6.4% / 9.1% across three batches, with width ratios 2.79 / 1.93 / 2.18. Prior corpus figures reproduce: MEN1 top-decile 83.4% vs 80.0%, DOT1L 68.8% vs 68.7%, width 1.93x vs 1.92x.
peak width ratio noteAll three HA batches exceed the 1.3 trigger (2.79, 1.93, 2.18), which is why the HA peak figures are reported only as a positive control and never as a magnitude.
inputs
[
  "GSE173599 MACS peak tables"
]
How this could bite us back
  • Any occupancy-based pharmacodynamic endpoint for a menin or DOT1L inhibitor needs its peak-width behaviour reported alongside it, or a 2x width inflation on a collapsing channel will be read as retained binding.
Still open
  1. Is summit containment itself biased when treated peaks are much wider - a wide treated peak has a summit that may fall outside a narrow control peak even when signal is retained? The direction of that bias is toward under-reporting retention, so it is conservative here, but it is not quantified.
Every source behind this entry (3)
  1. E1strong confidence 4 of 5: Replicated in peer-reviewed work by more than one group.dataset

    Summit-containment retention of HA control peaks after fusion degradation is 1.9%, 6.4% and 9.1% in the three HA batches, against a bin-overlap measure that reported 40-93%.

    What this evidence cannot show

    Peak calling depends on library depth, which is not equalised between arms and has no spike-in control. The 1912x2 figure is a 4 d rather than 3 h arm.

    Evidence that argues against this (1)
    • A low summit-containment figure could in principle reflect summit position instability rather than protein loss; the paper's own western blots and the near-zero per-gene HA signal ratios make protein loss the parsimonious reading. Olsen SN et al. 2022
  2. E2strong confidence 4 of 5: Replicated in peer-reviewed work by more than one group.dataset

    Treated/control median peak width ratios for HA are 2.79, 1.93 and 2.18, reproducing and exceeding the 1.92x inflation already recorded in this corpus.

    What this evidence cannot show

    Width inflation on a collapsed channel is expected from MACS's lambda model; the ratio is reported here as a diagnostic, not as a biological quantity.

    Evidence that argues against this (1)
    • A width ratio computed on a channel with 997 surviving treated peaks is estimated from few observations, and the between-batch spread (1.93 to 2.79) is itself large enough to question any single value. Olsen SN et al. 2022
  3. E3moderate confidence 3 of 5: One strong study, or several smaller consistent ones.dataset

    The two independent HA 3 h batches give 1.9% and 6.4%, a 4.5-point spread that is the only replicate-derived error estimate in the deposit.

    What this evidence cannot show

    This is a technical floor measured on a channel that lost ~98% of its signal. It does NOT bound the error on a 20% effect in a channel that barely moves, and must not be quoted as if it did.

    Evidence that argues against this (1)
    • The two HA 3 h batches differ in sequencing depth and in the input library used, so their 4.5-point spread mixes technical replication with batch effects and may overstate reproducibility rather than understate it. Olsen SN et al. 2022
Connected to