ABSTRACT
Members of the Lysine MethylTransferase 2 (KMT2) family are often abnormally expressed and mutated in many cancers. Similarly, several mutations listed in cancer databases map to key functional regions of KMT2 regulatory subunits, such as WD repeat domain 5 (WDR5), Retinoblastoma binding protein 5 (RbBP5), absent‐small‐homeotic‐2‐like (ASH2L), and DumPY‐30 (DPY‐30). In this study, we report the systematic characterization of cancer‐associated mutations that map to regions important for the WDR5/RbBP5/ASH2L/DPY‐30 (WRAD) complex formation. Both binding and thermal stability assays show that several cancer‐related mutations do not affect ASH2L binding to DPY‐30 or RbBP5. A subset of gain‐of‐function mutants highlights the role of long‐range networks of interactions underlying RbBP5 binding by ASH2L. Parallel analysis of RbBP5 mutations shows additional variants that weaken its interactions with WDR5. Finally, systematic mapping of RbBP5 residues interacting with WDR5 defines the optimal WDR5‐binding motif and shows that introducing hydrophobic residues beyond the central VDV sequence increases binding affinity. Overall, these findings reveal surprising gain‐of‐function mutations in ASH2L and provide a framework for targeting this epigenetic hub therapeutically.
Keywords: cancer, histone‐lysine N‐methyltransferase, mutation, protein stability, protein–protein interaction network
Pipeline to characterize the KMT2 cancer mutational landscape starts with querying genomic databases (top left) for mutations mapping to ASH2L, RbBP5, WDR5, and DPY‐30. Subsequent steps include the expression of these mutants in cell (bottom left), their systemic purification and biochemical characterization using isothermal titration calorimetry (bottom centre) and stability by different scanning fluorometry (bottom right).

1. Introduction
Histone methylation is a key epigenetic modification contributing to stem cell maintenance, cell lineage development, mitosis, genomic stability, DNA methylation, and gene expression regulation [1, 2]. This modification occurs primarily on lysine or arginine residues of histones H3 and H4. Among these, methylation of histone H3 on lysine 4 (H3K4) is notably enriched at the transcriptional start sites and is a well‐established marker of active transcription, playing a particularly important role in development and hematopoiesis [3, 4]. The predominant group of enzymes that methylate H3K4 belongs to the Lysine MethylTransferase 2 (KMT2) family. In humans, KMT2 comprises six members, including KMT2A‐F. Each member is composed of a catalytic Su(var)3–9, Enhancer‐of‐zeste and Trithorax (SET) domain, and depending on the KMT2 family members, these enzymes will preferentially mono‐, di‐, or tri‐methylate H3K4 [5]. For several members, their ability to carry out methylation requires the presence of regulatory subunits that include WDR5 (tryptophan‐aspartate [WD] repeat protein 5), RbBP5 (retinoblastoma‐binding protein 5), ASH2L (absent‐small‐homeotic‐2‐like), and DPY‐30 (DumPY‐30), collectively referred to as the WRAD complex (Figure 1A,B) [5, 6, 7, 8, 9]. For example, while KMT2A weakly mono‐methylates H3K4, its association with WRAD stimulates its methyltransferase activity by 600‐fold and enables the formation of H3K4 di‐ and tri‐methylated products [10, 11]. WDR5, RbBP5, and ASH2L constitute the minimal WRA complex required for methylation activity, whereas DPY‐30 increases the catalytic efficiency and specificity of WRAD and KMT2 enzymes for the nucleosome [12]. Therefore, disruption of any subunit results in severe loss of KMT2 activity and broad transcriptional misregulation in cells [11, 13, 14, 15].
FIGURE 1.

Cancer‐related mutations mapping to ASH2L impact complex formation. (A) Schematic representation of KMT2 subunits and their interactions within the complex. Created with BioRender. (B) Cartoon representation of ASH2LSPRY (gray) bound to the stick representation of RbBP5ABM (teal) and cartoon of ASH2LSDI (gray) bound to DPY‐30DD domain (beige and yellow). Carbon, oxygen, and nitrogen atoms are colored in yellow, red, and blue, respectively. (C) Lollipop plot showcasing the frequency and distribution of specific missense mutations within the SPRY (amino acids 276–510) and SDI (amino acids 510–534) domains of ASH2L Isoform 3. Data were sourced and cross‐referenced from the TCGA and COSMIC databases. The plot highlights mutational hotspots, with the blue circle indicating mutation frequency according to the y‐axis. (D) Bar plot showing the fold change in dissociation constant normalized to the wild‐type value, with decreases in binding affinity shown in red and increases in green. Dotted line highlights a fold‐change of ≥ 1.7. Bars reaching the bottom of the y‐axis are considered to have a ≥ 25‐fold change difference in K D. (E) Binding affinity (K D ) of WT ASH2LSPRY and number of sites (N) calculated from the ITC experiment displayed in (F). (F) ITC measurements of ASH2LSPRY WT with RbBP5, showing the raw heat data signals (top) and the binding isotherm from the integration of the heat peaks (bottom). The line of best fit is based on a 1:1 binding model. (G) Western blot of Co‐IP of ASH2LSPRY mutants shows that some mutations negatively impact the binding between ASH2L and RbBP5 (red). Input and Elution samples were probed with anti‐Flag (ASH2L) and anti–RbBP5 antibodies. (H) Western blot of Co‐IP of ASH2LSPRY‐SDI mutants, where input and elution samples were probed with anti‐flag (ASH2L) and anti‐Myc (DPY‐30) antibodies.
Each WRAD subunit plays a specific role in complex assembly and regulation. ASH2L is composed of a C4 zinc finger and a helix‐wing‐helix (WH) domain that binds DNA, linking methyltransferase activity to chromatin binding [16]. Just after its nuclear localization signal, ASH2L harbors a SPIa and Ryanodinine receptor (SPRY) domain and a Sdc1‐DPY‐30‐Interacting (SDI) motif [17, 18]. ASH2L SPRY domain (ASH2LSPRY) binds to RbBP5 [17], and its SDI (ASH2LSDI) motif interacts with DPY‐30 [19]. Another region in ASH2LSPRY contacts DNA in the nucleosome core particle [20]. The significance of these interactions for complex assembly and KMT2 methyltransferase activity is demonstrated by studies showing that mutations weakening the interaction between RbBP5 and ASH2L greatly reduce the methyltransferase activity of KMT2 enzymes in vitro, in cells, and in vivo [21]. Furthermore, mutations of residues located at the ASH2L‐DPY‐30 interface disrupt complex assembly and reduce methyltransferase activity on nucleosome substrates [19, 22].
WDR5 belongs to the WD40‐repeat protein family, whose members are important scaffolding components of multi‐subunit complexes [23]. In KMT2 complexes, WDR5 binds a short fragment located on the N‐terminus of KMT2 catalytic domains, referred to as WDR5 INteracting motif (WIN) and a shallow hydrophobic cleft on the opposite face of WDR5 directly interacts with the WDR5 binding motif of RbBP5 (RbBP5WBM) [9, 15, 24, 25]. Together, these interactions ensure proper H3K4 methylation and transcriptional regulation as kinetic studies show that the absence of WDR5 causes a loss of catalytic activity for selected KMT2 enzymes [15, 26].
In this study, we systematically investigated reported cancer‐associated mutations mapping to the interface between WRAD subunits, focusing on how they alter subunit interactions and how they impact complex formation. Our findings reveal both loss‐ and gain‐of‐function mutations within WRAD, outlining the mutational landscape of the WDR5‐RbBP5‐ASH2L‐DPY‐30 axis in cancer and establish a framework for how this epigenetic hub can be targeted therapeutically.
2. Materials and Methods
2.1. Expression and Protein Purification
WDR5 (a.a 22–334) was overexpressed and purified as previously described [27]. ASH2LSPRY domain (a.a. 286–504 with residues 403–444 replaced with ISGRG) was overexpressed in fusion with a SUMO and a hexahistidine tag [21] (pSMT3‐Ash2LSPRY). Missense mutations mapping to evolutionarily conserved residues reported in the cancer atlas database were introduced in pSMT3‐ASH2LSPRY using PCR site‐directed mutagenesis (Agilent Technologies). Briefly, recombinant ASH2LSPRY WT and mutants were overexpressed in E. coli Rosetta cells (Novagen) using 0.1 mM IPTG for 16 h at 18°C. His‐Sumo tagged proteins were purified by Talon metal affinity chromatography followed by ULP1 cleavage and the cleaved protein was purified by size exclusion chromatography using Superdex 75 (GE Healthcare) in 25 mM Tris pH 7.0, 150 mM NaCl, and 5 mM BME buffer [21].
2.2. RbBP5ABM Peptide Synthesis
Synthesis for peptide RbBP5ABM (H‐EYEERESEFDIEDED‐OH) was carried out using solid‐state peptide synthesis under protocols reported by our team [28, 29]. Briefly, Fmoc‐protected amino acids and low‐loading wang resin were purchased from CEM. All peptides were synthesized using microwave‐assisted Fmoc solid‐phase peptide synthesis in a Liberty Blue automated system. The required amount of resin was swelled in DMF for 5 min. Next, Fmoc deprotection was carried out with 20% piperidine at 90°C for 60s. Standard coupling cycles using DIC/Oxyma Pure were run at 90°C for 240 s in each amino acid. Peptides were cleaved from the resin and deprotected with TFA/TIS/EDT/H2O (92.5/2.5/2.5/2.5% v/v) at 42°C for 30 min and then precipitated in −20°C diethyl ether. Peptide crude products were then dried under vacuum overnight and purified by Agilent 1290 Infinity II Autoscale Preparative LC System with a 30.0 × 100 mm Agilent 5 Prep‐C18 column at 50 mL/min. Peptide analysis was performed in an Agilent 1290 Infinity II Autoscale Preparative LC System with column Kinetex 2.6 μm 100 Å 50 × 2.10 mm at a flow of 0.8 mL/min. Phase A is water/acetonitrile 95/4.9%, and phase B is acetonitrile/water 98/1.9%, both with modifiers of formic acid 0.1% and trifluoroacetic acid 0.01%. The gradient of B starts at 0% and is held isocratic for 0.25 min, then ramps %B to 50% until 14 min, then ramps to %B to 99% at 18.25 min, and held isocratic at this percentage until minute 19. Peptide purity was determined to be over 98%.
2.3. Co‐Immunoprecipitation
Mutations were introduced using PCR site‐directed mutagenesis (Agilent Technologies) using a plasmid designed for the expression of FLAG‐tagged full‐length ASH2L (ASH2LFL) [16]. WT and mutant constructs were transfected into HEK293 cells and maintained at 37°C with 5% CO2. After 24 h, the cells were harvested and lysed in RIPA buffer (50 mM Tris pH 7.4, 1% NP‐40, 0.25% sodium deoxycholate, 150 mM NaCl, 1 mM EDTA). 300 μg of each protein extract was incubated with ANTI‐FLAG M2 magnetic beads (Sigma) at 4°C overnight. Beads were washed with RIPA buffer and eluted using 3× FLAG peptide (Sigma). Input and eluted proteins were resolved on a 4%–15% gradient gel, transferred to a PVDF membrane, and blotted with anti‐RbBP5, anti‐FLAG (for ASH2L), or anti‐Myc (for DPY‐30) antibodies.
2.4. Isothermal Titration Calorimetry
ITC experiments were conducted using a VP‐ITC calorimeter (MicroCal) by injecting the WDR5 binding motif (WBM) of RbBP5 (0.7 mM; amino acids 371–380; RbBP5WBM) into a solution containing WDR5 (0.05 mM) in 20 mM sodium phosphate (pH 7.0), 150 mM sodium chloride, 5 mM B‐mercaptoethanol (BME), and 1 mM EDTA at 19°C. ASH2L binding motif (ABM) of RbBP5 (0.5 mM; amino acids 344–357; RbBP5ABM) was injected into a solution containing ASH2LSPRY (0.04 mM) in 20 mM Tris, pH 7.0, with 150 mM NaCl and 5 mM BME at 19°C. The RbBP5 peptides bind with binding stoichiometries (N values) of 0.8–1.0 molecules of peptide per monomer of WDR5 or ASH2LSPRY. Results for WT were repeated three times, while the mutant results were replicated twice. The Advanced Peptide Synthesis Core Facility synthesized the RbBP5ABM peptide at the University of Ottawa Heart Institute (See Section 2.2 in the Section 2). RbBP5WBM peptides were purchased from Genscript USA Inc.
2.5. Differential Scanning Fluorimetry
A mixture of 7.5X SYPRO Orange (Invitrogen), ASH2LSPRY WT or mutants (30 μM) was preequilibrated in the gel filtration buffer by incubating on ice for 20 min. A melting curve protocol was run on a BioRad CFX96 Touch Real‐Time PCR machine, with temperatures ranging from 10°C to 95°C at a heating rate of 0.5°C per cycle, each lasting 1 s. Data were analyzed using CFX Maestro Software, and the second derivative of the fluorescence signal was used to determine the melting temperature (Tm). Tₘ values are mean ± SD from n = 3 independent experiments.
2.6. Crystallization, Data Collection, and Structure Determination
Purified WDR5 was mixed in equal molar ratio with RbBP5WBM‐D376N peptide and incubated on ice for 60 min. Diffraction quality crystals were grown in 0.15 M Ammonium citrate and 18% PEG3350. Crystals were sequentially soaked in the mother liquor supplemented with 20% glycerol, harvested, and flash frozen in liquid nitrogen. A full data set was collected on a HomeSource MicroMax‐007 (Rigaku) equipped with an Raxis IV image plate detector. Diffraction data were indexed and scaled using HKL2000 [30]. A molecular replacement solution was found using Phaser and apo‐WDR5 as a starting model [27, 31]. The structure was further refined using iterative cycles of energy minimization and modeling using phenix.refine [32] and Coot [33], respectively. The quality of the structure was assessed using Molprobity [34] (Table 1).
TABLE 1.
Data collection and refinement statistics for the WDR5/RbBP5D376N complex.
| Data collection | |
|---|---|
| Wavelength (Å) | 1.54 |
| Resolution range (Å) | 30.0–2.2 (2.24–2.20) a |
| Space group | P21 |
| Unit cell (Å) |
78.5; 105.7; 80.5 β = 90 |
| Total reflections | 188 599 |
| Unique reflections | 65 288 (3248) |
| Completeness (%) | 97.9 (96.5) |
| Redundancy | 2.9 (2.7) |
| R‐meas | 0.08 (0.38) |
| Refinement | |
| Reflections used in refinement | 65 241 |
| R‐work/R‐free | 18.8/24.3 |
| Number of non‐hydrogen atoms | |
| WDR5 (A/C/E/G) | 2345/2337/2338/2321 |
| RbBP5D376N (B/D/F/H) | 59/63/40/29 |
| Solvent | 567 |
| RMS (bonds) (Å) | 0.01 |
| RMS (angles) (o) | 0.893 |
| Molprobity score | 1.98 |
| Average B‐factor (Å2) | |
| WDR5 (A/C/E/G) | 22.8/23.1/24.9/24.7 |
| RbBP5D376N(B/D/F/H) | 35.5/36.2/48.4/41.2 |
| Solvent | 29.5 |
Highest‐resolution shell is shown in parentheses.
2.7. Mutational Analysis
To analyze the mutational landscape mapping to WRAD subunit, we downloaded datasets from the Catalogue of Somatic Mutations in Cancer (COSMIC) database which integrates mutation data from major cancer genomics initiatives including TCGA, ICGC, and targeted sequencing projects. Mutations were aggregated by primary tissue type and mutation classification, excluding entries with unknown or unclassified mutation types. The bar plot showing the prevalence of mutations was generated using R (version 4.1.2) [35] with the ggplot2 package [36]. All mutations mapping to the SPRY domain (a.a. 27–510) and SDI motif (a.a. 510–534) of ASH2L Isoform 3 were filtered by type of mutations and mutation frequency. Similarly, we filtered all mutations mapping to the WBM motif of RbBP5‐201 (a.a. 371–380). The lollipop plots were generated in R (version 4.5) programing language using ggplot2 [36] and ggrepel [37] packages.
2.8. Statistical Analysis
Differences in ITC‐derived entropy (ΔS) and enthalpy (ΔH) values between each mutant and WT were considered meaningful when they exceeded the combined fitting uncertainty of the compared values, calculated as √(SEM_mutant2 + SEM_WT2), where SEM represents the fitting error derived from nonlinear regression of the binding isotherms.
3. Results and Discussion
3.1. Cancer‐Related Mutations Mapping to ASH2L Impact Complex Formation
Defined as an oncogene, ASH2L protein levels are elevated in many tumors and tumor cell lines [38, 39] and its overexpression promotes tumor proliferation, while its depletion suppresses tumorigenesis [40]. In vitro, loss of ASH2L or RbBP5 decreases KMT2 complex activity by ~600‐fold [10, 21], a function partly mediated by the ASH2LSPRY [21, 24]. ASH2L also interacts with DPY‐30 dimerizing domain through its SDI amphipathic α‐helix [18, 19], and disruption of this interaction impairs β‐globin transcription [19, 21]. Therefore, to determine whether cancer‐associated mutations in ASH2L alter complex formation and potentially KMT2 activity, we analyzed cancer‐related missense mutations reported in the Catalogue of Somatic Mutations in Cancer (COSMIC) databases. Interestingly, 32 cancer‐related mutations map to the SPRY or SDI domains of ASH2L and are implicated in one or more forms of cancer (Figure 1C) (Figure S1).
To first test the impact of the identified cancer‐related mutations mapping to ASH2LSPRY, we introduced the mutations in a construct corresponding to the ASH2LSPRY domain and purified the mutants to homogeneity followed by measuring the binding affinities using Isothermal Titration Calorimetry (ITC) experiments (Figure 1D–F, Figure S3). While some mutants could not be purified and therefore could not be subjected to binding experiments (e.g., G345D, S365Y), the D293Y substitution result in a ≥ 45‐fold loss in binding to RbBP5 compared to WT ASH2LSPRY (Figure 1D). Intriguingly, several mutations increase binding for RbBP5 and are referred to here as gain‐of‐function mutations (GoF) (highlighted in green in Figure 1D). To confirm whether we see the same effect with full‐length ASH2L in cells, we introduced some of the mutations (R286W, D293Y, R294Q, P296S) by site‐directed mutagenesis and expressed as Flag‐tagged proteins in HEK293T cells. Flag co‐immunoprecipitation (co‐IP) confirms the ITC results by showing a similar trend where D293Y completely disrupt binding and R286W, R294Q, and P296S retain similar binding for RbBP5 (Figure 1G, Figure S2A). Mutations mapping to the ASH2LSDI were also introduced in a construct corresponding to ASH2LSPRY‐SDI, but we failed to obtain an appropriate ITC measurement and therefore only performed co‐IP to assess its impact on binding to DPY‐30. We demonstrate that all ASH2LSDI variants retain comparable interaction with DPY‐30 compared to the WT ASH2LSDI (Figure 1H, Figure S2B).
Binding assays of ASH2LSPRY mutants also reveal mutation‐dependent shifts in conformational dynamics, showing significant changes in both entropy (ΔS) and enthalpy (ΔH) (Table S1). Interestingly, GoF mutants that enhance binding by ≥ 1.7‐fold, corresponding to the average fold change for GoF mutants, result in a gain in entropy (highlighted in light green in Table S1). This indicates increased conformational flexibility upon binding, resulting in a reduced entropic penalty and stronger binding. In contrast, the R286W, Y328C, S383F, and L474M mutants, which exhibited reduced binding, demonstrate a significant decrease in both entropy and enthalpy (highlighted in light orange in Table S1). This reduction implies a more rigid and energetically unfavorable interaction. Together, these energetic signatures highlight how distinct mutations modulate the conformational landscape of the SPRY domain and indicate that cancer‐associated mutations can either weaken or enhance the ASH2L–RbBP5 interaction, both of which may negatively impact KMT2 activity and epigenetic regulation.
3.2. Mutations in ASH2L Impact RbBP5 Binding Through Long‐Range Structural Effects
To better understand how patient‐derived mutations influence ASH2L function, we first examined whether these substitutions alter the intrinsic stability of the ASH2LSPRY domain. To assess this, we measured the melting temperatures (Tm) of each mutant using differential scanning fluorimetry (DSF) (Figure S4). This analysis reveals that 12 of 26 ASH2LSPRY mutants exhibit a modest decrease in Tₘ (≥ 3°C), while I396V and L474M cause the largest destabilization, with a Tm of 7.3°C and 8.5°C lower than WT ASH2L, respectively (Figure 2A). A decrease in Tₘ was considered significant when the mutant Tₘ was less than one standard deviation below the WT mean (WT mean ± SD). Consistent with this, L474M also disrupts complex assembly, exhibiting a 1.3‐fold reduction in binding affinity. Therefore, we used AlphaFold to predict how these mutations might affect protein folding (Figure 2B,C). Positioned within the protein core, I396V and L474M models suggest reduced Van der Waal interactions and loss of hydrophobic packing within ASH2LSPRY (Figure 2B). Interestingly, despite destabilizing the ASH2LSPRY fold by potentially weakening the domain's tertiary structure, I396V mutations did not reduce binding to RbBP5, suggesting that the ASH2L‐RbBP5 interface remains largely intact and that binding is tolerant to modest changes in domain stability. Conversely, D293Y decreases the melting temperature of ASH2LSPRY by ~5°C and completely disrupts binding. AlphaFold predictions suggest that D293 contributes to ASH2L structural stability by forming hydrogen bonds with R317 implicated in β‐sheet formation (Figure 2B). Substituting D293 with tyrosine abolishes these interactions, likely weakening the ASH2L tertiary structure and its ability to bind RbBP5. Most mutations that enhance binding affinity exhibit thermal denaturation profiles comparable to the WT, except for D502G. The substitution of aspartate with glycine disrupts hydrogen bonding between R498 and P499 (Figure 2B). This likely affects protein stability, but in this case, it may increase RbBP5's binding affinity for ASH2L by introducing greater flexibility. Interestingly, the other GoF mutations with a binding increase of ≥ 1.7‐fold appear to arise from changes in Van der Waal interactions and in hydrogen bonding with neighboring residues but lie, on average, ~22 Å away from the RbbP5 binding site. This suggests that the increased binding affinity may arise from long‐range structural reorganization that creates new contacts with RbBP5. Specifically, from these GoF mutations, T479M, E335G, and E310D, are closest with a distance of ~14, ~17, and ~14 Å away from the RbBP5 binding site, respectively.
FIGURE 2.

Cancer‐related mutations in ASH2L impact RbBP5 binding through long‐range structural effects. (A) Average melting temperatures (Tm) determined using the second derivative of the normalized relative fluorescence units (RFU) acquired by differential scanning fluorimetry. Error bars represent the SD of two biological replicates performed in triplicates. Highlighted in blue is the range of Tm of the WT. (B) Close‐up view of I396V, E335G, T479M, D502G, D293Y, L474M, E310D and their interactions with neighboring residues represented as stick model. AlphaFold predictions (cyan) were overlayed on the WT structure (gray). Sulfur, oxygen, and nitrogen atoms are colored in yellow, red, and blue, respectively. (C) Cartoon representation of ASH2LSPRY domain with mutations shown as spheres. RbBP5 peptide is represented as a stick model (yellow) with oxygen and nitrogen atoms colored in red, and blue, respectively. Green spheres highlight mutants with an increase in binding (≥ 1.7‐fold change difference in K D), yellow spheres highlight mutants with a ≥ 25‐fold decrease in K D, red spheres highlight mutants with a ≥ 1.5‐fold decrease in K D.
3.3. RbBP5 Mutations Mapping to the WBM Motif Impair Binding to WDR5 V‐Shaped Cleft
RbBP5 is linked to poor prognosis in hepatocellular carcinoma and promotes epithelial‐mesenchymal transition and metastasis in breast cancer by maintaining the transcription of invasion‐related genes [41, 42]. Cryo‐EM studies have shown that RbBP5 interacts with several subunits of the complex, with the RbBP5‐WDR5 interface being crucial for MLL catalytic activity [9]. Consequently, we hypothesized that multiple mutations could disrupt complex assembly and possibly impair epigenetic signaling [9, 15]. WDR5 features a seven‐bladed β‐propeller domain formed by tryptophan‐aspartate (WD) repeats, a structure well known for mediating protein–protein interactions [27] (Figure 3A). The crystal structure of WDR5 bound to the WDR5 binding motif (WBM) of RbBP5 (RbBP5WBM) shows that the valine‐aspartate‐valine (VDV) motif is anchored within two distinct hydrophobic pockets that each accommodate residues V375 and V377. The first pocket is formed by Tyr228, Leu240, and Lys250. The second pocket interacts with V377 through residues Val268, Leu288, and Phe266 (Figure 3F). Notably, the COSMIC database identifies three mutations within RbBP5WBM (Figure 3B). To examine how RbBP5WBM mutants affect binding to WDR5, we performed ITC with WDR5 using a short RbBP5 peptide corresponding to the RbBP5WBM (amino acids 371–380) (Figure S5). Of the cancer‐related mutations, V375M and V377I map to the valine residues of the VDV motif and reduce binding by 15‐ and 3‐fold, respectively (Figure 3C). Remarkably, V380M, located at the C‐terminus of RbBP5WBM, completely abolishes binding. The replacement of valine with the bulkier hydrophobic residue methionine likely disrupts interactions with the aliphatic region of Arg181 in WDR5 by introducing steric clashes (Figure 3F). This underscores that residues beyond the central VDV motif significantly contribute to the interaction.
FIGURE 3.

RbBP5 mutations mapping to the WBM motif impair binding to WDR5 V‐shaped cleft. (A) Schematic representation of RbBP5 domains. (B) Lollipop plot showcasing the frequency and distribution of specific missense mutations within the WBM motif of RbBP5 (amino acids 371–380). (C) Bar plot showing the fold change in dissociation constant (K D ) normalized to the wild‐type value, with decreases in binding affinity shown in red and increases in green. Asterisks denote RbBP5 mutants identified in the COSMIC database. Bars reaching the bottom of the y‐axis are considered to have a ≥ 25‐fold change difference in K D. (D) Schematic representation of RbBP5 peptide interactions with WDR5 (pink labels) and the effects of different substitutions on binding affinity (purple = similar to WT, red = decreased binding, green = complete loss of binding, yellow = increased binding). (E) Overall structure of WDR5 (gray) showing the relative orientations of WT (orange) and D376N (cyan) RbBP5 peptides. (F) Zoomed view of the WDR5 V‐shaped cleft in which WDR5 (WT), WDR5 (D376N), RbBP5371‐380 WT, and D376N carbon atoms are shown in light orange, light cyan, orange, and cyan, respectively. Intramolecular hydrogen bonds are shown as dashed gray lines, and the red arrow indicates a hydrogen bond lost in the D376N complex.
Owing that WDR5 is a major hub in protein complex formation, we sought to expand our mutational analysis by examining the role of RbBP5WBM residues. We performed a systematic mapping of the RbBP5WBM‐WDR5 interface by incorporating different substitutions in RbBP5WBM. ITC results with RbBP5WBM mutants reveal that residues with small hydrophobic side chains, such as valine or leucine, fit optimally into the first hydrophobic pocket of WDR5, yielding similar binding affinities, while smaller (alanine) or bulkier (phenylalanine) residues reduce binding (Figure 3C,F). This observation is consistent with evolutionary conservation, as the yeast homolog Cps50 (also referred to as Swd3) contains an isoleucine at this position, suggesting that while the first pocket can accommodate some variation, it exhibits selective size constraints for the hydrophobic side chain. In the VDV motif, the central aspartate residue (D376) forms an intramolecular H‐bond with S379, which likely helps position the adjacent valine side chains within their respective hydrophobic pockets of the WDR5 V‐shaped cleft. This central residue is important for binding as substitutions to asparagine or glutamate, which retain the side chain (Asn) or charge (Glu), significantly reduce or abolish binding, respectively (Figure 3C). To further understand the molecular underpinnings of this interaction, we solved the structure of WDR5 bound to the RbBP5D376N (PDB: 10TC) (Table 1). Structural analysis indicates that D376 helps stabilize a kink at the adjacent V377 residue through an intramolecular hydrogen bond. Substituting D376 with asparagine disrupts this interaction by shifting the S379 side chain from 3 Å to 4.9 Å away from N376 causing the loss of the intramolecular H‐bond (Figure 3D,E). In the second pocket, the valine is the optimal residue as its substitution to a leucine, phenylalanine, glutamate, and glycine abolishes binding but tolerates, albeit with reduced affinity, a smaller hydrophobic residue (V377A) or a more flexible residue (V377I). Interestingly, the WDR5‐RbBP5 interface is not strictly dependent on the VDV, as mutations outside of the central VDV increase binding affinity toward WDR5. Specifically, T378V, T378C, and S379A result in a 6.5‐, 5‐, and 2‐fold gain in binding, respectively (Figure 3C). This enhancement can be explained by the replacement of polar threonine and serine residues with less polar cysteine or more hydrophobic residues (valine and alanine), which potentially facilitates desolvation by making it easier to displace water molecules at the interface leading to a tighter binding.
4. Discussion
Mapping of the ASH2L mutational landscape highlighted the impact residues located more than 10 Å from the RbBP5 binding site. Distal mutations are increasingly recognized as capable of modulating binding affinity via long‐range conformational/dynamic changes. A previous study employing statistical‐mechanical modeling of CheY, a bacterial response regulator, Cyclophilin A (CypA), and a PDZ domain of the scaffolding protein PSD‐95 demonstrated that the effects of mutations decay with distance but can propagate up to 15–20 Å from the mutation site [43]. Moreover, several examples have shown that mutations can alter the dynamics of distant regions, such as in transketolase [44], and in viral spike proteins, where the receptor‐binding domain (RBD) mutations propagated allosteric effects to distal domains altering RBD binding to human angiotensin‐converting enzyme‐2 (ACE2) [45]. Specifically, the K417N mutation in RBD of the spike protein showed the strongest allosteric coupling with the N‐terminal domain (NTD). This mutation increases the number of intermolecular contacts, including salt bridges, and induces significant changes in ΔG and a noticeable 4000× fold increase in ACE2 binding affinity [45]. These studies support our findings that the observed GoF ASH2LSPRY mutants may act by distal perturbation of the domain fold, which primes the SPRY domain for increased flexibility and promotes a conformation that can better accommodate RbBP5. In our case, these GoF mutations could remodel the local water network or induce a domino‐like propagation of minor energetic changes (ΔΔG) that ultimately reach and affect the RbBP5 binding site. Furthermore, while we examined single mutations individually, it is possible that those showing no substantial effect on protein stability and function could still influence RbBP5 interaction through a cooperative mechanism, where one mutation alone is insufficient to shift the conformational equilibrium. This epistatic effect of multiple mutations on binding affinity has been described previously, where a silent “permissive” mutation in DANCER‐3 reshapes the protein's energy landscape, enabling access to previously inaccessible conformational states, and a subsequent “destabilizing” mutation shifts the equilibrium to favor this new state [46]. These observations highlight that even “silent” mutations can remodel the energy landscape and influence binding, underscoring the structural plasticity of ASH2L and reinforcing its role as a key regulatory node within KMT2 complex. Together, these findings position ASH2L as a therapeutically actionable epigenetic hub, with insights into its cancer mutational landscape guiding the rational design of targeted interventions.
Interestingly, previous studies mapping the WDR5 interactome upon binding of small‐molecule inhibitors to the WIN site revealed that WIN‐site inhibition induces bidirectional changes in WDR5 interactions [47]. Notably, CHD8, a known WDR5 interactor through its WBM motif, is enriched upon WIN inhibition. This observation suggests that disruption at the WBM site may likewise trigger structural rearrangements that enhance WDR5's association with KMT2 catalytic subunits through its WIN site [47, 48]. Therefore, having identified RbBP5WBM mutations that enhance binding to WDR5, this information could be leveraged to design WBM‐mimicking peptides or small molecules with increased affinity, providing effective inhibitors targeting the RbBP5 binding pocket of WDR5. Given that WDR5 has emerged as a key therapeutic target in cancer and directly engages the oncogenic transcription factor MYC through its WBM site, these findings provide a molecular framework for selectively and/or synergistically disrupting the WBM and WIN interaction and potentially inhibiting aberrant gene expression in cancer [49, 50, 51].
Overall, our mutational analysis revealed that while WDR5 binding remains highly constrained, it can tolerate certain substitutions in the RbBP5WBM. From this, we defined a consensus motif for RbBP5WBM recognition by WDR5 as X‐Ω‐[D/N]‐[VIA]‐[VC > T]‐[A>SC] (Ω denotes a hydrophobic residue). While previous studies of the RbBP5‐WDR5 interface have identified a similar pattern, our findings reveal a distinct preference for hydrophobic residues at the C‐terminal end of the RbBP5WBM [52]. To this end, we performed a ProSite search using the consensus motif and identified ZZZ3, PTHD1, CPMD8, and HIPL1 as candidates. Notably, ZZ‐type zinc finger‐containing protein 3 (ZZZ3) is a histone H3 reader essential for maintaining histone acetylation through the ATAC complex. Several studies have reported WDR5 as an interactor of ATAC, and network analyses suggest that WDR5 and ZZZ3 co‐purify within the same complex [48, 53]. As such, these observations further indicate that WDR5 may carry out an important role within the ATAC complex.
5. Conclusion
Collectively, our findings indicate that ASH2L can absorb a significant mutational burden, as most cancer‐associated mutations did not disrupt ASH2LSPRY binding or stability. This robustness likely reflects evolutionary pressure to maintain essential subunit interactions despite destabilizing mutations, while more subtle or allosteric mutations may fine‐tune binding affinity in oncogenic contexts. For instance, gain‐of‐function mutations that enhance RbBP5 binding could hyperactivate KMT2 enzymes, leading to elevated H3K4me3 deposition and aberrant gene expression. Conversely, destabilizing mutations may weaken complex integrity and impair epigenetic regulation. Beyond the analysis of cancer‐associated variants, our systematic approach also provided a detailed characterization of the WDR5‐RbBP5 binding motif. We acknowledge that many of the mutations analyzed may represent passenger mutations that arise through clonal expansion in tumors with a mutator phenotype, without directly contributing to tumorigenesis. Future studies assessing recurrence and functional impact across larger patient cohorts will be necessary to distinguish potential driver mutations from incidental passenger variants mapping to the WRAD. Nonetheless, our results serve as a foundation for comprehensive mapping of mutations affecting KMT2 regulatory subunits and offer a valuable resource for investigating how cancer mutations perturb epigenetic mechanisms.
Author Contributions
Participated in research design: J.‐F. Couture, S. Grégoire, S. Chow, M. Joshi, P. Zhang, A. Janna, and V. Tremblay; Performed in vitro experiments: S. Chow, S. Grégoire, M. Joshi, P. Zhang, A. Janna, and V. Tremblay; Participated in data analysis: J.‐F. Couture, S. Grégoire, S. Chow, M. Joshi, P. Zhang, and V. Tremblay; Conducted bioinformatics analyses for the mutational study: A. Mer and A.A. Ahmad; Performed peptide synthesis: M. Muñoz; Participated in manuscript preparation: Writing (original draft): S. Grégoire, J.‐F. Couture, and S. Chow; Writing – review and editing: all authors.
Funding
This work was supported by the Canadian Institutes of Health Research (CIHR), 517542. Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN‐2023‐05555.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Figure S1: Prevalence of Mutations in RBBP5 (Q15291‐1) (A) and ASH2L (B). (A, B) The bar plot above showcases the prevalence of mutations across primary tissue types, categorized by mutation types, excluding those of unknown classification. Mutation frequencies are depicted as a stacked bar plot, with the x‐axis representing various primary tissues and the y‐axis indicating the mutation frequency. Mutation types are color‐coded, including frameshift deletions, in‐frame deletions, frameshift insertions, coding silent substitutions, missense substitutions, and nonsense substitutions. The mutational data are sourced from the COSMIC database.
Figure S2: Second replicate of the Co‐IPs of ASH2LSPRY (A) and ASH2LSPRY‐SDI mutants (B). (A) Western blot of Co‐IP of ASH2LSPRY mutants, where input and elution samples were probed with anti‐ASH2L and anti‐RbBP5 antibodies. (B) Western blot of Co‐IP of ASH2LSPRY‐SDI mutants, where input and elution samples were probed with anti‐flag (ASH2L) and anti‐Myc (DPY‐30) antibodies.
Figure S3: ITC trace of ASH2LSPRY WT and mutants, showing the raw heat data signals (top) and the binding isotherm from the integration of the heat peaks (bottom). The line of best fit is based on a 1:1 binding model. Each ITC trace corresponds to one of two replicates.
Figure S4: First‐derivative plots of fluorescence as a function of temperature for all ASH2LSPRY mutants obtained by differential scanning fluorimetry. The melting temperature (Tm) was determined from the temperature corresponding to the minimum of the derivative curve (peak of –d(RFU)/dT) for each sample performed in triplicates.
Figure S5: ITC trace of RbBP5WBM WT and mutants with WDR5, showing the raw heat data signals (top) and the binding isotherm from the integration of the heat peaks (bottom). The line of best fit is based on a 1:1 binding model. Each ITC trace corresponds to one of two replicates.
Table S1: Thermodynamic parameters (KD, ΔH, and ΔS) obtained from ITC measurements for ASH2LSPRY mutants. Errors indicate the standard deviation. Mutants highlighted in green represent gain‐of‐function mutations (≥ 1.7 fold change) that have a significant gain in entropy. Mutants highlighted in orange decrease binding and have a significant decrease in entropy and enthalpy.
Acknowledgments
S. Grégoire acknowledges a scholarship from the Natural Sciences and Engineering Research Council of Canada. A. Janna acknowledges a scholarship from the Ontario Graduate Scholarship Program (QEII‐GSST). J.‐F. Couture laboratory is supported by grants from NSERC and CIHR (517542).
Data Availability Statement
All data supporting the findings of this study are found within the paper and its supporting information. The coordinates of the WDR5/RbBP5D376N complex structure have been deposited in the protein databank under accession number 10TC and are publicly available as of the date of publication.
References
- 1. Tollervey J. R. and Lunyak V. V., “Epigenetics,” Epigenetics 7 (2012): 823–840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Jones P. A. and Baylin S. B., “The Fundamental Role of Epigenetic Events in Cancer,” Nature Reviews Genetics 3 (2002): 415–428. [DOI] [PubMed] [Google Scholar]
- 3. Ruthenburg A. J., Allis C. D., and Wysocka J., “Methylation of Lysine 4 on Histone H3: Intricacy of Writing and Reading a Single Epigenetic Mark,” Molecular Cell 25 (2007): 15–30. [DOI] [PubMed] [Google Scholar]
- 4. Yagi M., Bonilla G., Hoetker M. S., et al., “Bivalent Chromatin Instructs Lineage Specification During Hematopoiesis,” Cell 188 (2025): 4314–4331. [DOI] [PubMed] [Google Scholar]
- 5. BochyńSka A., Lüscher‐Firzlaff J., and Lüscher B., “Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes With Chromatin,” Cells 7 (2018): 17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Shinsky S. A., Monteith K. E., Viggiano S., and Cosgrove M. S., “Biochemical Reconstitution and Phylogenetic Comparison of Human SET1 Family Core Complexes Involved in Histone Methylation,” Journal of Biological Chemistry 290 (2015): 6361–6375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Dou Y., Milne T. A., Ruthenburg A. J., et al., “Regulation of MLL1 H3K4 Methyltransferase Activity by Its Core Components,” Nature Structural & Molecular Biology 13 (2006): 713–719. [DOI] [PubMed] [Google Scholar]
- 8. Dehé P.‐M., Dichtl B., Schaft D., et al., “Protein Interactions Within the Set1 Complex and Their Roles in the Regulation of Histone 3 Lysine 4 Methylation,” Journal of Biological Chemistry 281 (2006): 35404–35412. [DOI] [PubMed] [Google Scholar]
- 9. Avdic V., Zhang P., Lanouette S., et al., “Structural and Biochemical Insights Into MLL1 Core Complex Assembly,” Structure 19 (2011): 101–108. [DOI] [PubMed] [Google Scholar]
- 10. Patel A., Dharmarajan V., Vought V. E., and Cosgrove M. S., “On the Mechanism of Multiple Lysine Methylation by the Human Mixed Lineage Leukemia Protein‐1 (MLL1) Core Complex,” Journal of Biological Chemistry 284 (2009): 24242–24256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Patel A., Vought V. E., Dharmarajan V., and Cosgrove M. S., “A Novel Non‐SET Domain Multi‐Subunit Methyltransferase Required for Sequential Nucleosomal Histone H3 Methylation by the Mixed Lineage Leukemia Protein‐1 (MLL1) Core Complex,” Journal of Biological Chemistry 286 (2011): 18344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Ali A. and Tyagi S., “Diverse Roles of WDR5‐RbBP5‐ASH2L‐DPY30 (WRAD) Complex in the Functions of the SET1 Histone Methyltransferase Family,” Journal of Biosciences 42 (2017): 155–159. [DOI] [PubMed] [Google Scholar]
- 13. Haddad J. F., Yang Y., Takahashi Y.‐H., et al., “Structural Analysis of the Ash2L/Dpy‐30 Complex Reveals a Heterogeneity in H3K4 Methylation,” Structure 26 (2018): 1594–1603. [DOI] [PubMed] [Google Scholar]
- 14. Shilatifard A., Steward M. M., Lee J.‐S., O'Donovan A., Wyatt M., and Bernstein B. E., “Molecular Regulation of H3K4 Trimethylation by ASH2L, a Shared Subunit of MLL Complexes,” Nature Structural & Molecular Biology 13 (2006): 852–854. [DOI] [PubMed] [Google Scholar]
- 15. Zhang P., Lee H., Brunzelle J. S., and Couture J.‐F., “The Plasticity of WDR5 Peptide‐Binding Cleft Enables the Binding of the SET1 Family of Histone Methyltransferases,” Nucleic Acids Research 40 (2012): 4237–4246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Sarvan S., Avdic V., Tremblay V., et al., “Crystal Structure of the Trithorax Group Protein ASH2L Reveals a Forkhead‐Like DNA Binding Domain,” Nature Structural & Molecular Biology 18 (2011): 857–859. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Chen Y., Cao F., Wan B., Dou Y., and Lei M., “Structure of the SPRY Domain of Human Ash2L and Its Interactions With RbBP5 and DPY30,” Cell Research 22 (2012): 598–602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. South P. F., Fingerman I. M., Mersman D. P., Du H.‐N., and Briggs S. D., “A Conserved Interaction Between the SDI Domain of Bre2 and the Dpy‐30 Domain of Sdc1 Is Required for Histone Methylation and Gene Expression,” Journal of Biological Chemistry 285 (2010): 595–607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Tremblay V., Zhang P., Chaturvedi C.‐P., et al., “Molecular Basis for DPY‐30 Association to COMPASS‐Like and NURF Complexes,” Structure 22 (2014): 1821–1830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Lee Y.‐T., Ayoub A., Park S.‐H., et al., “Mechanism for DPY30 and ASH2L Intrinsically Disordered Regions to Modulate the MLL/SET1 Activity on Chromatin,” Nature Communications 12 (2021), 10.1038/s41467-021-23268-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Zhang P., Chaturvedi C. P., Tremblay V., et al., “A Phosphorylation Switch on RbBP5 Regulates Histone H3 Lys4 Methylation,” Genes & Development 29 (2015): 123–128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Zhao L., Huang N., Mencius J., et al., “DPY30 Acts as an ASH2L‐Specific Stabilizer to Stimulate the Enzyme Activity of MLL Family Methyltransferases on Different Substrates,” IScience 25 (2022): 104948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Xu C. and Min J., “Structure and Function of WD40 Domain Proteins,” Protein & Cell 2 (2011): 202–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Qu Q., Takahashi Y.‐H., Yang Y., et al., “Structure and Conformational Dynamics of a COMPASS Histone H3K4 Methyltransferase Complex,” Cell 174 (2018): 1117–1126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Ruthenburg A. J., Wang W., Graybosch D. M., et al., “Histone H3 Recognition and Presentation by the WDR5 Module of the MLL1 Complex,” Nature Structural & Molecular Biology 13 (2006): 704–712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Alicea‐Velázquez N. L., Shinsky S. A., Loh D. M., Lee J.‐H., Skalnik D. G., and Cosgrove M. S., “Targeted Disruption of the Interaction Between WD‐40 Repeat Protein 5 (WDR5) and Mixed Lineage Leukemia (MLL)/SET1 Family Proteins Specifically Inhibits MLL1 and SETd1A Methyltransferase Complexes,” Journal of Biological Chemistry 291 (2016): 22357–22372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Couture J.‐F., Collazo E., and Trievel R. C., “Molecular Recognition of Histone H3 by the WD40 Protein WDR5,” Nature Structural & Molecular Biology 13 (2006): 698–703. [DOI] [PubMed] [Google Scholar]
- 28. Muñoz M., Eren Cimenci C., Goel K., et al., “Nanoengineered Sprayable Therapy for Treating Myocardial Infarction,” ACS Nano 16 (2022): 3522–3537. [DOI] [PubMed] [Google Scholar]
- 29. Macadam A. J., Munoz M., Hage J. E., et al., “Low Energy Blue Pulsed Light‐Activated Injectable Materials for Restoring Thinning Corneas,” Advanced Functional Materials 33 (2023), 10.1002/adfm.202302721. [DOI] [Google Scholar]
- 30. Otwinowski Z., and Minor W., “[20] Processing of X‐Ray Diffraction Data Collected in Oscillation Mode” Methods in Enzymology 276 (1997), 307–326. [DOI] [PubMed] [Google Scholar]
- 31. Zwart P. H., Afonine P. V., Grosse‐Kunstleve R. W., et al., “Automated Structure Solution With the PHENIX Suite,” in Methods in Molecular Biology (Humana Press, 2008), 419–435. [DOI] [PubMed] [Google Scholar]
- 32. Adams P. D., Grosse‐Kunstleve R. W., Hung L.‐W., et al., “PHENIX: Building New Software for Automated Crystallographic Structure Determination,” Acta Crystallographica, Section D: Biological Crystallography 58 (2002): 1948–1954. [DOI] [PubMed] [Google Scholar]
- 33. Emsley P. and Cowtan K., “Coot: Model‐Building Tools for Molecular Graphics,” Acta Crystallographica, Section D: Biological Crystallography 60 (2004): 2126–2132. [DOI] [PubMed] [Google Scholar]
- 34. Davis I. W., Leaver‐Fay A., Chen V. B., et al., “MolProbity: All‐Atom Contacts and Structure Validation for Proteins and Nucleic Acids,” Nucleic Acids Research 35 (2007): W375–W383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Team, R. C , “R: A language and environment for statistical computing,” 2021. R Foundation for Statistical Computing, Vienna, Austria.
- 36. Wickham H., ggplot2: Elegant Graphics for Data Analysis (Springer‐Verlag New York, 2016). [Google Scholar]
- 37. Slowikowski K., “ggrepel: Automatically Position Non‐Overlapping Text Labels with'ggplot2'. R package version 0.9.6,” 2024.
- 38. Zeng K., Wu Y., Wang C., et al., “ASH2L Is Involved in Promotion of Endometrial Cancer Progression via Upregulation of PAX2 Transcription,” Cancer Science 111 (2020): 2062–2077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Batbayar G., Ishimura A., Lyu H., et al., “ASH2L, a COMPASS Core Subunit, Is Involved in the Cell Invasion and Migration of Triple‐Negative Breast Cancer Cells Through the Epigenetic Control of Histone H3 Lysine 4 Methylation,” Biochemical and Biophysical Research Communications 669 (2023): 19–29. [DOI] [PubMed] [Google Scholar]
- 40. LüScher‐Firzlaff J., Gawlista I., Vervoorts J. R., et al., “The Human Trithorax Protein hASH2 Functions as an Oncoprotein,” Cancer Research 68 (2008): 749–758. [DOI] [PubMed] [Google Scholar]
- 41. Yu H., Zhou H., Bao J., et al., “Retinoblastoma Binding Protein 5 Correlates With the Progression in Hepatocellular Carcinoma,” BioMed Research International 2018 (2018): 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Mitchell A. V., Wu L., James Block C., et al., “FOXQ1 Recruits the MLL Complex to Activate Transcription of EMT and Promote Breast Cancer Metastasis,” Nature Communications 13 (2022), 10.1038/s41467-022-34239-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Kannan A. and Naganathan A. N., “Ensemble Origins and Distance‐Dependence of Long‐Range Mutational Effects in Proteins,” iScience 25 (2022): 105181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Yu H. and Dalby P. A., “Coupled Molecular Dynamics Mediate Long‐ and Short‐Range Epistasis Between Mutations That Affect Stability and Aggregation Kinetics,” Proceedings of the National Academy of Sciences 115 (2018): E11043–E11052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Das J. K., Thakuri B., MohanKumar K., et al., “Mutation‐Induced Long‐Range Allosteric Interactions in the Spike Protein Determine the Infectivity of SARS‐CoV‐2 Emerging Variants,” ACS Omega 6 (2021): 31305–31320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Damry A. M., Mayer M. M., Broom A., Goto N. K., and Chica R. A., “Origin of Conformational Dynamics in a Globular Protein,” Communications Biology 2 (2019): 433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Guarnaccia A. D., Rose K. L., Wang J., et al., “Impact of WIN Site Inhibitor on the WDR5 Interactome,” Cell Reports 34 (2021): 108636. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Guelman S., Kozuka K., Mao Y., et al., “The Double‐Histone‐Acetyltransferase Complex ATAC Is Essential for Mammalian Development,” Molecular and Cellular Biology 29 (2009): 1176–1188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Mitchell K., Sprowls S. A., Arora S., et al., “WDR5 Represents a Therapeutically Exploitable Target for Cancer Stem Cells in Glioblastoma,” Genes & Development 37 (2023): 86–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Siladi A. J., Wang J., Florian A. C., et al., “WIN Site Inhibition Disrupts a Subset of WDR5 Function,” Scientific Reports 12 (2022), 10.1038/s41598-022-05947-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Thomas R., Lance Q., Wang J., et al., “Interaction With WDR5 Promotes Target Gene Recognition and Tumorigenesis by MYC,” Molecular Cell 58 (2015): 440–452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Odho Z., Southall S. M., and Wilson J. R., “Characterization of a Novel WDR5‐Binding Site That Recruits RbBP5 Through a Conserved Motif to Enhance Methylation of Histone H3 Lysine 4 by Mixed Lineage Leukemia Protein‐1*,” Journal of Biological Chemistry 285 (2010): 32967–32976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Mi W., Zhang Y., Lyu J., et al., “The ZZ‐Type Zinc Finger of ZZZ3 Modulates the ATAC Complex‐Mediated Histone Acetylation and Gene Activation,” Nature Communications 9 (2018), 10.1038/s41467-018-06247-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1: Prevalence of Mutations in RBBP5 (Q15291‐1) (A) and ASH2L (B). (A, B) The bar plot above showcases the prevalence of mutations across primary tissue types, categorized by mutation types, excluding those of unknown classification. Mutation frequencies are depicted as a stacked bar plot, with the x‐axis representing various primary tissues and the y‐axis indicating the mutation frequency. Mutation types are color‐coded, including frameshift deletions, in‐frame deletions, frameshift insertions, coding silent substitutions, missense substitutions, and nonsense substitutions. The mutational data are sourced from the COSMIC database.
Figure S2: Second replicate of the Co‐IPs of ASH2LSPRY (A) and ASH2LSPRY‐SDI mutants (B). (A) Western blot of Co‐IP of ASH2LSPRY mutants, where input and elution samples were probed with anti‐ASH2L and anti‐RbBP5 antibodies. (B) Western blot of Co‐IP of ASH2LSPRY‐SDI mutants, where input and elution samples were probed with anti‐flag (ASH2L) and anti‐Myc (DPY‐30) antibodies.
Figure S3: ITC trace of ASH2LSPRY WT and mutants, showing the raw heat data signals (top) and the binding isotherm from the integration of the heat peaks (bottom). The line of best fit is based on a 1:1 binding model. Each ITC trace corresponds to one of two replicates.
Figure S4: First‐derivative plots of fluorescence as a function of temperature for all ASH2LSPRY mutants obtained by differential scanning fluorimetry. The melting temperature (Tm) was determined from the temperature corresponding to the minimum of the derivative curve (peak of –d(RFU)/dT) for each sample performed in triplicates.
Figure S5: ITC trace of RbBP5WBM WT and mutants with WDR5, showing the raw heat data signals (top) and the binding isotherm from the integration of the heat peaks (bottom). The line of best fit is based on a 1:1 binding model. Each ITC trace corresponds to one of two replicates.
Table S1: Thermodynamic parameters (KD, ΔH, and ΔS) obtained from ITC measurements for ASH2LSPRY mutants. Errors indicate the standard deviation. Mutants highlighted in green represent gain‐of‐function mutations (≥ 1.7 fold change) that have a significant gain in entropy. Mutants highlighted in orange decrease binding and have a significant decrease in entropy and enthalpy.
Data Availability Statement
All data supporting the findings of this study are found within the paper and its supporting information. The coordinates of the WDR5/RbBP5D376N complex structure have been deposited in the protein databank under accession number 10TC and are publicly available as of the date of publication.
