Oncofusion

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Analysisstrong confidence 4 of 5: Replicated in peer-reviewed work by more than one group.Q75-dot1l-partners

The six unwritten DOT1L partners are not six findings - they are nine spokes of ONE GFP-DOT1L pulldown, and the source paper already graded them

also called DOT1L atlas spoke set · EBI-11060394 · IM-24272-464 · Hein 2015 DOT1L bait MCP_ky_0003877

All six DOT1L partners this project was missing come from a single experiment in a single paper - one pulldown of tagged DOT1L out of HeLa cells - and that paper's own authors already marked them as its weakest hits. Counting them as six separate discoveries overstates the evidence sixfold.

The same thing, for a scientist

The cycle-41 coverage recheck found six bait-supported DOT1L partners with no entry: MAPK7, NIN, PARP16, IBTK, EBNA1BP2 and BRINP1, all from PMID 26496610 (Hein et al., Cell 2015) [E1]. Pulling IntAct directly shows they are not six interaction records. They are ONE IntAct interaction, EBI-11060394 / IM-24272-464, spoke-expanded (MI:1060) into nine binary rows from a single LAP-tagged DOT1L HeLa cell line, MCP_ky_0003877 [E2]. The same nine rows contain the genuine DotCom core - MLLT3/AF9, MLLT10/AF10, MLLT6/AF17 - so the experiment worked; what the coverage filter did was strip the grading that came with it. Hein et al. publish a per-interactor confidence class, and in the source table the DotCom subunits are A+ while the six unwritten ones are A-, B, B-, B-, B-, B- [E3]. The flag core.interactor is set for exactly two rows, DOT1L itself and MLLT10 - none of the six [E3]. IBTK was itself a bait in the same study, and GFP-IBTK recovered 23 partners in the same cells through the same pipeline; DOT1L is not among them [E4]. Across all 49 IntAct rows involving Q8TEK3, from seven publications, each of the six appears exactly once [E2], and PubMed returns zero records pairing DOT1L with any of them [E5].

Go deeper
The three quantitative dimensions, for this pulldown, in one table

From Hein et al.'s own interactions table, bait cell line MCP_ky_0003877 (LAP-tagged human DOT1L in HeLa; bait copy number 3,734 against an endogenous HeLa DOT1L copy number of 3,779, i.e. near-endogenous expression) 36.

preyclasscoreinteraction stoichiometry prey:baitabundance stoichiometry prey/baitenrichment (SD)prey-bait profile correlationHeLa copies/cell
DOT1L (self)A++1 (1:1)1.09.431.0003,779
MLLT10 / AF10A++0.416 (1:2.4)0.126.920.420394
MLLT6 / AF17A+-0.079 (1:12.7)0.057.400.333169
MLLT3 / AF9A+-0.0058 (1:172)0.393.740.2753,703
EBNA1BP2B--0.442 (1:2.3)4661.060.0571,732,944
NINB--0.041 (1:24)0.251.530.0451,075
BRINP1 (as DBC1)B--0.039 (1:26)not detected1.830.084absent from the HeLa proteome
PARP16A--0.022 (1:46)3.42.090.04312,034
MAPK7B--0.0027 (1:365)1.02.660.0333,263
IBTKB-0.0021 (1:476)9.82.290.15638,317

Stoichiometries are log10.prey.bait.ratio and log10.prey.bait.expression.ratio from the source table, back-transformed here; the log values are stored verbatim in data.spoke_set 3. Copy numbers are from the same paper's HeLa proteome workbook 6.

The dispatch premise the literature did not support: stoichiometry alone does NOT separate the real partners from the traces

This beat was dispatched on the expectation that interaction stoichiometry would be the number distinguishing 'DOT1L's binding partner' from 'detected in a DOT1L pulldown'. On this pulldown it does not, and the direction is the opposite of the one predicted.

  • EBNA1BP2, a B- hit, has the HIGHEST interaction stoichiometry of the six (0.44) - higher than AF17 and essentially equal to AF10, the one prey flagged core.interactor.
  • MLLT3/AF9, an A+ hit and a DOT1L partner with solved co-structures in this graph (interface-af9-ahd-dot1l-three-sites-2mv7), sits at 0.0058 - 1:172, seventy-six-fold MORE substoichiometric than EBNA1BP2.

A stoichiometry cut applied to this pulldown would keep EBNA1BP2 and discard AF9. The paper's own thesis is the reason: it reports three dimensions and argues that the network is dominated by weak substoichiometric interactions, so a low stoichiometry is the norm rather than a disqualification 1.

What does separate them here is the combination, which is what the confidence class encodes. AF9's enrichment is 3.74 SD with a prey-bait profile correlation of 0.275; EBNA1BP2's is 1.06 SD with a correlation of 0.057 and an abundance 466-fold above the bait. The three A+ rows all have correlations of 0.28-0.42; all six unwritten rows are at 0.033-0.156, and the two dimensions the paper is titled for only become decisive when read together with the third. The stoichiometry is still worth storing, and it is stored per gene, because it states how much of the bait was ever in a complex with the prey. It is simply not the filter.

The reciprocal test the same dataset already contains

IBTK is one of Hein et al.'s 1,330 bait cell lines in its own right (MCP_ky_0004631, LAP-tagged, human) 6. So the DOT1L-IBTK spoke has a reciprocal arm inside the identical dataset, the identical cell background and the identical pipeline - the cleanest control available for any of the six.

GFP-IBTK recovered 23 partners: POP7 and RPP25L (RNase P/MRP), EIF4A1, the RFC clamp loader (RFC1, RFC3, RFC4), ribosomal proteins RPLP0, RPLP1, RPS3, RPS8, RPS9, RPS27 and RPL6, nucleolar factors DDX21, NAT10, TSR1 and WDR74, and MSL1, SRP72, LACTB, DHX30, ESPL1 and USP10 4.

DOT1L is not among them. The interaction fails reciprocal recovery in the study that reported it.

This is a bounded statement about one direction of one assay, not a proof of absence: AP-MS is routinely asymmetric, a tag can occlude an interface, and the two baits were expressed at very different levels (IBTK 38,860 copies, DOT1L 3,734). But it is the strongest single piece of evidence any of the six has in either direction, and it points against.

What was actually wrong with the filter, stated narrowly

The coordinator's first framing - that 'bait-supported' never distinguished a screen from a dedicated study - was withdrawn mid-beat, and the withdrawal is right: across all six baits, 41 of 56 bait-supported partners (73.2%) have at least one focused source 7. The filter is largely sound. The defect is narrower and is exactly the case this beat sits in: the partners with no entry are concentrated in the atlas-only residue, and for those the word 'bait' carries no information, because in a proteome-scale atlas every one of 1,330 proteins is a bait.

The repair is cheap and does not require judging screens at all: carry the source's own per-interactor grade. Hein et al. published one; IntAct even stores it, as author-confidence in MITAB column 27 2. The cycle-34 grading read MITAB columns 19-20 (experimental role) and not column 27, one column group away from the answer.

This graph already reached the same conclusion for AFF1 from the other side: ana-aff1-interactome-gap looked at thirteen single-method AFF1 partners and wrote 'that is one screen's output, not thirteen findings.' The DOT1L case adds the part that makes it actionable - the screen's own output already contains the grading, and the loss happened in our join, not in the source.

The entry I declined to write, and why

BRINP1 gets no interactor entry. The reasoning, so a later cycle can overturn it if it disagrees:

  1. The prey is not present in the cell the experiment was done in. BRINP1 has no row in Hein et al.'s own HeLa proteome workbook - 8,805 protein groups, three replicates - which is why its abundance-stoichiometry cell is empty rather than small 6. BRINP1 is BMP/retinoic acid-inducible neural-specific protein 1 (UniProt O60477, 761 aa, Cytoplasm) 8.
  2. The confidence is the floor of the ladder: class B-, enrichment 1.83 SD, correlation 0.084 3.
  3. The accession IntAct records is not the canonical protein. The interactor is O60477-3, isoform 3, because the MaxQuant protein group's leading identifier was the isoform - see concept-a-protein-group-leading-id-is-not-the-interactor 2.
  4. The symbol in the source table is DBC1, shared with CCAR2 and a live collision 8.
  5. No corroboration exists: DOT1L[tiab] AND (BRINP1 OR DBCCR1 OR FAM5A)[tiab] returns 0 and (MLL OR KMT2A)[tiab] AND (BRINP1 OR DBCCR1)[tiab] returns 0, with the operand control passing (DOT1L[tiab] = 710) 5.

A prey absent from the host proteome, at the lowest confidence class, recorded under a non-canonical accession and a colliding symbol, with zero independent support, is a peptide-assignment artefact until something says otherwise. What would change my mind: a BRINP1 peptide-level check in the raw deposition, or any pulldown in a neural or otherwise BRINP1-expressing cell.

Recorded so the refusal leaves a trace rather than looking like an oversight - this graph's standing practice for bounded rejection.

Facts and figures
scriptno script - read directly from IntAct PSICQUIC and the source paper's supplementary workbooks
statusrun
result summarySix 'new' DOT1L partners collapse to nine spokes of one pulldown; the source already graded them A- to B- against A+ for the DotCom core; none is flagged core.interactor; IBTK's reciprocal pulldown in the same dataset does not recover DOT1L; interaction stoichiometry does NOT separate them from the true partners and prey-bait profile correlation does.
intact interaction acEBI-11060394
imex IDIM-24272-464
bait cell lineMCP_ky_0003877
bait cell line tagLAP (C-terminal GFP), human BAC
bait copy number3734.46
endogenous hela dot1l copy number3778.88
expansionpsi-mi:MI:1060 (spoke expansion)
interaction detection methodpsi-mi:MI:0007 (anti tag coimmunoprecipitation)
interaction typepsi-mi:MI:0914 (association)
intact miscore for the six0.35
spoke set
IBTK-2.678IBTK: -2.678MAPK7-2.562MAPK7: -2.562MLLT3-2.236MLLT3: -2.236PARP16-1.661PARP16: -1.661BRINP1-1.407BRINP1: -1.407NIN-1.384NIN: -1.384MLLT6-1.103MLLT6: -1.103MLLT10-0.381MLLT10: -0.381EBNA1BP2-0.354EBNA1BP2: -0.354DOT1L0.000DOT1L: 0
inputs
[
  "IntAct PSICQUIC MITAB 2.7, id:Q8TEK3, 49 rows, 2026-09-21",
  "https://ars.els-cdn.com/content/image/1-s2.0-S0092867415012702-mmc2.xlsx (bait cell lines, 1,330 rows)",
  "https://ars.els-cdn.com/content/image/1-s2.0-S0092867415012702-mmc3.xlsx (interactions, 31,944 rows)",
  "https://ars.els-cdn.com/content/image/1-s2.0-S0092867415012702-mmc4.xlsx (HeLa proteome, 8,804 protein groups)"
]
spoke set — the numbers behind the chart
[
  {
    "gene": "DOT1L",
    "accession_group": "Q8TEK3-2;Q8TEK3;H7BZ90",
    "class": "A+",
    "core_interactor": true,
    "log10_prey_bait_ratio": 0,
    "interaction_stoichiometry": 1,
    "log10_prey_bait_expression_ratio": 0,
    "abundance_stoichiometry": 1,
    "enrichment_sd": 9.427,
    "neg_log10_p": 7.528919,
    "prey_bait_correlation": 1,
    "hela_copies": 3778.88
  },
  {
    "gene": "MLLT10",
    "accession_group": "Q5VX90;E9PBP4;P55197",
    "class": "A+",
    "core_interactor": true,
    "log10_prey_bait_ratio": -0.381,
    "interaction_stoichiometry": 0.4161,
    "log10_prey_bait_expression_ratio": -0.911837,
    "abundance_stoichiometry": 0.1225,
    "enrichment_sd": 6.923,
    "neg_log10_p": 3.126166,
    "prey_bait_correlation": 0.42,
    "hela_copies": 393.76
  },
  {
    "gene": "MLLT6",
    "accession_group": "P55198",
    "class": "A+",
    "core_interactor": false,
    "log10_prey_bait_ratio": -1.103,
    "interaction_stoichiometry": 0.07886,
    "log10_prey_bait_expression_ratio": -1.342149,
    "abundance_stoichiometry": 0.04548,
    "enrichment_sd": 7.402,
    "neg_log10_p": 2.203102,
    "prey_bait_correlation": 0.333,
    "hela_copies": 168.57
  },
  {
    "gene": "MLLT3",
    "accession_group": "B7Z755;P42568",
    "class": "A+",
    "core_interactor": false,
    "log10_prey_bait_ratio": -2.236,
    "interaction_stoichiometry": 0.005802,
    "log10_prey_bait_expression_ratio": -0.4067638,
    "abundance_stoichiometry": 0.392,
    "enrichment_sd": 3.741,
    "neg_log10_p": 1.93263,
    "prey_bait_correlation": 0.275,
    "hela_copies": 3702.6
  },
  {
    "gene": "EBNA1BP2",
    "accession_group": "Q99848;H7C2Q8",
    "class": "B-",
    "core_interactor": false,
    "log10_prey_bait_ratio": -0.354,
    "interaction_stoichiometry": 0.4422,
    "log10_prey_bait_expression_ratio": 2.668787,
    "abundance_stoichiometry": 466.4,
    "enrichment_sd": 1.056,
    "neg_log10_p": null,
    "neg_log10_p_note": "reported as Inf in the source table",
    "prey_bait_correlation": 0.057,
    "hela_copies": 1732943.74
  },
  {
    "gene": "NIN",
    "accession_group": "Q8N4C6-10;Q8N4C6-7;E9PN67;Q8N4C6-4;C9J066;Q8N4C6-9;Q8N4C6-2;Q8N4C6;Q8N4C6-5;Q8N4C6-6;F8W6D3;Q8N4C6-11;H0YEL6",
    "class": "B-",
    "core_interactor": false,
    "log10_prey_bait_ratio": -1.384,
    "interaction_stoichiometry": 0.04132,
    "log10_prey_bait_expression_ratio": -0.5950536,
    "abundance_stoichiometry": 0.2541,
    "enrichment_sd": 1.533,
    "neg_log10_p": 8.57937,
    "prey_bait_correlation": 0.045,
    "hela_copies": 1074.51
  },
  {
    "gene": "BRINP1",
    "source_gene_name": "DBC1",
    "accession_group": "O60477-3;O60477",
    "class": "B-",
    "core_interactor": false,
    "log10_prey_bait_ratio": -1.407,
    "interaction_stoichiometry": 0.03913,
    "log10_prey_bait_expression_ratio": null,
    "abundance_stoichiometry": null,
    "abundance_note": "NaN in the source table - BRINP1 has no row in the HeLa proteome workbook",
    "enrichment_sd": 1.833,
    "neg_log10_p": 3.576609,
    "prey_bait_correlation": 0.084,
    "hela_copies": null
  },
  {
    "gene": "PARP16",
    "accession_group": "Q8N5Y8;Q8N5Y8-3;Q8N5Y8-2",
    "class": "A-",
    "core_interactor": false,
    "log10_prey_bait_ratio": -1.661,
    "interaction_stoichiometry": 0.02183,
    "log10_prey_bait_expression_ratio": 0.5356944,
    "abundance_stoichiometry": 3.433,
    "enrichment_sd": 2.09,
    "neg_log10_p": null,
    "neg_log10_p_note": "reported as Inf in the source table",
    "prey_bait_correlation": 0.043,
    "hela_copies": 12034.43
  },
  {
    "gene": "MAPK7",
    "accession_group": "Q13164;Q13164-3;C9JUK9;J3KT61",
    "class": "B-",
    "core_interactor": false,
    "log10_prey_bait_ratio": -2.562,
    "interaction_stoichiometry": 0.00274,
    "log10_prey_bait_expression_ratio": 0.003908126,
    "abundance_stoichiometry": 1.009,
    "enrichment_sd": 2.662,
    "neg_log10_p": 3.812598,
    "prey_bait_correlation": 0.033,
    "hela_copies": 3262.76
  },
  {
    "gene": "IBTK",
    "accession_group": "E7EPI0;Q9P2D0;Q9P2D0-2;E9PDR5",
    "class": "B",
    "core_interactor": false,
    "log10_prey_bait_ratio": -2.678,
    "interaction_stoichiometry": 0.002099,
    "log10_prey_bait_expression_ratio": 0.9926466,
    "abundance_stoichiometry": 9.832,
    "enrichment_sd": 2.287,
    "neg_log10_p": 4.022619,
    "prey_bait_correlation": 0.156,
    "hela_copies": 38317.12
  }
]
declined entries
[
  {
    "gene": "BRINP1",
    "accession": "O60477",
    "reason": "prey absent from the study's own HeLa proteome (8,805 protein groups); class B-; recorded in IntAct under isoform O60477-3; source symbol DBC1 collides with CCAR2; zero corroborating literature",
    "would_change_my_mind": "a peptide-level check in the raw deposition, or any pulldown in a BRINP1-expressing cell"
  }
]
reciprocal test
{
  "bait": "IBTK",
  "cell_line": "MCP_ky_0004631",
  "bait_copy_number": 38859.93,
  "n_preys": 23,
  "dot1l_recovered": false,
  "preys": [
    "POP7",
    "EIF4A1",
    "RPP25L",
    "RPLP1",
    "MSL1",
    "SRP72",
    "RPLP0",
    "RPS3",
    "RFC4",
    "RFC1",
    "RFC3",
    "RPS9",
    "RPS8",
    "LACTB",
    "RPL6",
    "TSR1",
    "WDR74",
    "DHX30",
    "NAT10",
    "DDX21",
    "ESPL1",
    "RPS27",
    "USP10"
  ]
}
How this could bite us back
  • This entry argues six partners down, and the failure mode of that argument is that it makes the interactome look more finished than it is. A B- spoke that is real is still a missing entry, and the honest position is that six DOT1L partners are unresolved rather than excluded.
  • If the graph starts filtering interactome coverage on the source's confidence class, that class becomes a load-bearing number produced by somebody else's unreadable methods section - a dependency of exactly the kind rule 90 warns about.
  • MLLT3/AF9 would fail a stoichiometry cut on this pulldown and it is a structurally validated DOT1L partner. Any filter proposed here must be checked against that case before it is applied anywhere.
Still open
  1. Does the graph's interactome coverage metric now record the SOURCE GRADE of each partner? Hein et al.'s class sits in IntAct MITAB column 27 as author-confidence, one column group away from the experimental-role columns the cycle-34 grading read.
  2. How many of the other fifteen atlas-only bait-supported partners across the six baits collapse to a single spoke set the same way, and is any of those spoke sets graded A+ rather than B-?
  3. Nothing in this graph has ever asked how many of its partner entries rest on a spoke-expanded row rather than an observed binary interaction. IntAct stores the expansion column and the question is one pass away.
Every source behind this entry (8)
  1. E1established confidence 5 of 5: Multiple independent lines of evidence; treated as settled in the field.paper

    PMID 26496610 is Hein MY, Hubner NC, Poser I et al., Mann M, 'A human interactome in three quantitative dimensions organized by stoichiometries and abundances', Cell 2015 - a proteome-scale affinity-purification atlas built from a library of 1,125 GFP-tagged HeLa cell lines expressed under near-endogenous control, which reports interaction stoichiometries and cellular abundances and concludes that the protein network is dominated by weak, substoichiometric interactions.

    What this evidence cannot show

    Title, twelve-author list, journal, year and DOI copied character-by-character out of a live NCBI efetch XML record fetched 2026-09-21, reading only PubmedData/ArticleIdList/ArticleId (brief rule 81). Abstract read in full; the main text is NOT readable - no PMCID exists, Europe PMC reports isOpenAccess N, and the DOI resolves to a 13-character Elsevier redirect stub (brief rule 60, the loud Elsevier failure). Everything quantitative in this entry therefore comes from the supplementary workbooks, which ARE served, and not from the narrative.

    Evidence that argues against this (1)
    • A proteome-scale atlas is not a weak paper - it is a strong paper being asked a question it was not designed to answer. Hein et al. set out to describe global network topology, for which a false-positive rate that is fatal to a single-partner claim is immaterial. Reading its lowest-confidence rows as six partner assignments is an error of use here, not a defect in the source. Hein MY et al. 2015
  2. E2established confidence 5 of 5: Multiple independent lines of evidence; treated as settled in the field.database

    In IntAct, all six partners are rows of ONE interaction record - intact:EBI-11060394 / imex:IM-24272-464 - produced by spoke expansion (psi-mi MI:1060) from a single anti-tag co-immunoprecipitation (MI:0007) in HeLa, interaction type 'association' (MI:0914), intact-miscore 0.35 for all six; across all 49 IntAct rows involving DOT1L (Q8TEK3) from seven publications, each of the six appears exactly once, and none appears in the focused DotCom paper PMID 20203130.

    What this evidence cannot show

    One database on one day. Spoke expansion is IntAct's honest representation of an n-ary AP-MS experiment, not a curation error - but it means the binary pair 'DOT1L binds X' was INFERRED by the curator from co-purification and never observed as a binary interaction. MI:0914 'association' is the weakest interaction-type term in the vocabulary; it is not MI:0915 'physical association' and not MI:0407 'direct interaction'. The other six publications in the DOT1L record were not audited to this depth.

    Evidence that argues against this (1)
    • Appearing once in IntAct bounds the CURATED record, not the literature. A partner reported only in a supplementary table of an uncurated study is invisible to this count, the same blind spot brief rule 80 documents for PubMed abstracts. EMBL-EBI IntAct 2026
  3. E3established confidence 5 of 5: Multiple independent lines of evidence; treated as settled in the field.dataset

    Hein et al.'s interactions table gives the GFP-DOT1L cell line MCP_ky_0003877 nine preys plus self, graded by a published per-interactor confidence class: MLLT3, MLLT6, MLLT10 and DOT1L itself are A+, PARP16 is A-, IBTK is B, and MAPK7, NIN, EBNA1BP2 and BRINP1 (listed under the symbol DBC1) are B-; the flag core.interactor is set for DOT1L and MLLT10 only, and for none of the six.

    What this evidence cannot show

    Downloaded 2026-09-21 from the Elsevier static CDN with the magic bytes checked (PK, a valid zip) after the article HTML itself returned 403. The table numbering is taken from IntAct's own annotation of this experiment ('Suppl. table S2. For bait details see supp. table S1'), not from the paper's narrative, which is unreadable. The classes A+/A/A-/B+/B/B-/C are the authors' composite of enrichment, p value and prey-bait correlation; the exact thresholds are defined in the main text, which I could not read, so the class is used here as an ORDINAL grade published by the authors and not as a quantity I can re-derive.

    Evidence that argues against this (1)
    • A confidence class is the authors' judgement, not a measurement, and it was calibrated for a network-wide analysis in which a low-class edge is a tolerable cost. It is being used here in a way its designers did not intend - to argue about individual partners - and a B- edge that is real is graded exactly like a B- edge that is not. Hein MY et al. 2015
  4. E4strong confidence 4 of 5: Replicated in peer-reviewed work by more than one group.dataset

    IBTK was itself one of Hein et al.'s bait cell lines (MCP_ky_0004631, LAP-tagged human, bait copy number 38,860); GFP-IBTK recovered 23 partners in the same HeLa background through the same pipeline - RNase P/MRP subunits POP7 and RPP25L, EIF4A1, the RFC1/RFC3/RFC4 clamp loader, seven ribosomal proteins, and nucleolar factors DDX21, NAT10, TSR1 and WDR74 - and DOT1L is not among them.

    What this evidence cannot show

    A reciprocal AP-MS failure is weaker than it looks. Tag position, bait expression level (IBTK was expressed roughly ten-fold higher than DOT1L in this dataset) and the stoichiometry of the pair all make asymmetric recovery common, and a 1:476 prey would sit at the detection floor in either direction. This bounds the claim to 'not recovered in the reciprocal arm of this study', not to 'does not interact'.

    Evidence that argues against this (1)
    • The reciprocal arm is also the only place the DOT1L-IBTK pair could have been CONFIRMED, and the same design that makes a negative weak would have made a positive strong. Treating a failed reciprocal as uninformative while treating the forward spoke as evidence is not a defensible asymmetry. Cell 163(3), supplementary material 2015
  5. E5strong confidence 4 of 5: Replicated in peer-reviewed work by more than one group.database

    Counted absence, PubMed E-utilities esearch run 2026-09-21: DOT1L paired with each of the six returns 0 records (MAPK7/ERK5/BMK1 0; NIN/ninein 0; PARP16 0; IBTK 0; BRINP1/DBCCR1/FAM5A 0; EBNA1BP2/EBP2/'nucleolar protein p40' 1, which is a C. elegans DOT-1.1 paper matching the worm gene EBP-2 and is off topic), with the operand controls passing - DOT1L[tiab] returns 710 and (MAPK7 OR ERK5)[tiab] returns 1,379.

    What this evidence cannot show

    Bounded by titles and abstracts only (brief rule 80): a co-IP shown in a supporting figure of a paper about something else is unreachable from any of these queries, and that is precisely where a confirmation would be likely to sit. querytranslation was read back on every query; the only surprise was that 'nucleolar protein p40' expanded loosely into a MeSH nuclear-proteins set, which is why the single hit was title-checked and rejected.

    Evidence that argues against this (1)
    • Zero literature is the expected result for ANY prey of a 2015 proteome-scale atlas, including the true ones, because nobody writes a title about a single row of somebody else's screen. The absence discriminates weakly and would look identical if all six were real but unfollowed. NCBI PubMed (queries run 2026-09-21) 2026
  6. E6established confidence 5 of 5: Multiple independent lines of evidence; treated as settled in the field.dataset

    In Hein et al.'s HeLa proteome workbook (8,805 protein groups, three replicates), EBNA1BP2 is present at 1,732,944 copies per cell against DOT1L's 3,779 - a 459-fold excess - IBTK at 38,317, PARP16 at 12,034, MAPK7 at 3,263 and NIN at 1,075, while BRINP1/DBC1 has no row at all; the DOT1L bait cell line expressed the tagged protein at 3,734 copies, 0.99 of the endogenous level.

    What this evidence cannot show

    A whole-proteome workbook of 8,805 groups is not exhaustive - absence from it is absence from a three-replicate HeLa measurement, not from the cell. Copy numbers are proteomic-ruler estimates and the workbook carries no error bars for them. The near-endogenous bait level is a genuine strength of this dataset and is the reason its stoichiometries mean anything at all; it does not transfer to AP-MS studies using CMV-driven overexpression.

    Evidence that argues against this (1)
    • Copy number cuts both ways. An abundant nucleolar protein is the classic AP-MS background, but it is also genuinely more likely to encounter any given nuclear protein, so a high-abundance prey is not automatically a false positive - the step from 459-fold excess to 'contaminant' is a prior, not a measurement. Cell 163(3), supplementary material 2015
  7. E7moderate confidence 3 of 5: One strong study, or several smaller consistent ones.analysis

    Across all six core baits, 41 of 56 bait-supported partners (73.2%) have at least one focused (non-atlas) source and only 15 (26.8%) rest purely on proteome-scale atlases, so the bait-supported filter is largely sound and the defect is confined to the atlas-only residue in which the unwritten partners are concentrated.

    What this evidence cannot show

    Not my analysis - it was run by the coordinator during this beat and is quoted here, not re-derived. Its own first pass misclassified five focused complex-purification papers as screens on a partner-count heuristic (MED26 21729782, AF4/ENL/P-TEFb 20153263, DotCom 20203130, PAF/MLL 20541477, Yokoyama 15199122); the quoted figure is from the hand-verified replacement. I independently verified only the part that bears on this entry - that DotCom (20203130) appears in IntAct as a separate publication and shares none of my six.

    Evidence that argues against this (1)
    • 73.2% describes the partners that HAVE entries as much as the ones that do not, and a filter can be 73% sound while still being the wrong instrument for the 27% where all the unwritten work sits. The figure should not be read as licence to keep using bait status as a quality grade. Oncofusion knowledge graph (internal analysis) 2026
  8. E8established confidence 5 of 5: Multiple independent lines of evidence; treated as settled in the field.database

    UniProtKB O60477 (BRNP1_HUMAN) is human BRINP1, 761 aa, recommended name 'BMP/retinoic acid-inducible neural-specific protein 1', alternative name 'Deleted in bladder cancer protein 1', gene synonyms DBC1, DBCCR1 and FAM5A, with subcellular location Cytoplasm on two experimental codes and no nuclear annotation.

    What this evidence cannot show

    Resolved 2026-09-21 by accession query with the primary gene name read back as BRINP1 and the length checked (brief rules 62 and 65). The DBC1 synonym is a live collision with CCAR2, whose common name is also DBC1 (Deleted in Breast Cancer 1); the Hein table uses DBC1 as the gene name for this row, so a reader resolving that string to CCAR2 gets a completely different, nuclear, SIRT1-regulating protein.

    Evidence that argues against this (1)
    • A cytoplasmic UniProt call is exactly the kind of annotation this graph has found to be miscalled - see localization-partner-baseline-compartment-is-often-miscalled. 'Cytoplasmic, therefore not a DOT1L partner' would be the same error in the opposite direction, which is why the refusal here rests on the prey's absence from the assayed proteome and not on its compartment. UniProt Consortium 2026
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