Abstract
Ikaros family zinc finger protein 1 and 3 (IKZF1 and IKZF3) are transcription factors that promote multiple myeloma (MM) proliferation. The immunomodulatory imide drug (IMiD) lenalidomide promotes myeloma cell death via Cereblon (CRBN)-dependent ubiquitylation and proteasome-dependent degradation of IKZF1 and IKZF3. Although IMiDs have been used as first-line drugs for MM, the overall survival of refractory MM patients remains poor and demands the identification of novel agents to potentiate the therapeutic effect of IMiDs. Using an unbiased screen based on mass spectrometry, we identified the Runt-related transcription factor 1 and 3 (RUNX1 and RUNX3) as interactors of IKZF1 and IKZF3. Interaction with RUNX1 and RUNX3 inhibits CRBN-dependent binding, ubiquitylation, and degradation of IKZF1 and IKZF3 upon lenalidomide treatment. Inhibition of RUNXs, via genetic ablation or a small molecule (AI-10-104), results in sensitization of myeloma cell lines and primary tumors to lenalidomide. Thus, RUNX inhibition represents a valuable therapeutic opportunity to potentiate IMiDs therapy for the treatment of multiple myeloma.
Subject terms: Biochemistry, Myeloma, Cell signalling
Introduction
The major therapeutic goal for multiple myeloma (MM) treatment is complete remission and prolonged survival [1, 2]. Small molecules such as the proteasome inhibitor bortezomib and the immunomodulatory imide drugs (IMiDs) thalidomide and lenalidomide, in addition to autologous hematopoietic stem-cell transplantation, have markedly improved overall survival. However, patients with disease refractory to both IMiDs and bortezomib have a median event-free-survival and overall survival of only 5 and 9 months, respectively [1, 2]. Thus, the search for novel agents to potentiate IMiDs represents an important therapeutic goal.
Ikaros family zinc finger protein 1 and 3 (IKZF1 and IKZF3) are transcription factors of the IKZF family, including also IKZF2, 4, and 5 proteins [3], that function as homo-dimers and hetero-dimers to regulate lymphopoiesis [4, 5]. Their expression is initiated during the early stages of lymphoid progenitors and increases as lymphocytes differentiate into mature cells [4]. Genetic data has revealed that the loss of IKZF1 and IKZF3 results in a block of lymphoid lineage differentiation and a susceptibility to develop acute lymphoblastic leukemia (ALL) [6]. Consistently, IKZF1 and IKZF3 are frequently mutated tumor-suppressor genes in ALL [7]. In contrast, MM cells display dependency on IKZF1 and IKZF3 for cell-autonomous proliferation [8, 9]. Indeed, the loss of IKZFs by shRNAs or by expression of a dominant-negative IKZF3 mutant inhibits myeloma growth [8, 9].
The IMiDs thalidomide, lenalidomide, and pomalidomide bind to a specific pocket in the E3 ligase Cereblon (CRBN) [10, 11], promoting CRBN interaction with the IKZF1 and IKZF3 proteins and favoring their ubiquitylation and proteasome-dependent degradation [8, 9]. IMiD-induced degradation of IKZFs promotes the expression of the interferon gene program essential to repress MYC and proliferation of MM cells [8, 9, 12, 13]. Despite the clinical success of the IMiDs, refractory disease still presents a therapeutic challenge.
In addition to the IKZF family, another family of transcription factors implicated in human hematological cancers is the Runt-related transcription factor family (henceforth referred to as RUNXs). RUNX1 alterations, including translocations, mutations, and gene amplifications, are frequently observed in human leukemia [14–16]. The RUNX proteins (RUNX1, RUNX2, and RUNX3) are transcription factors that bind to promoters and enhancers via the Runt homology domain (RHD), a domain also required for interaction with its partner CBFβ [17]. RUNX1 targets multiple genes that are pivotal regulators of hematopoiesis, including the hematopoietic-specific member of the E-twenty-six (ETS) family [18]. Although RUNX1 is essential for murine embryonic development and fetal liver hematopoiesis, conditional deletion of Runx1 revealed a non-essential role in adult hematopoiesis [19].
Here, we show that RUNX1 and RUNX3 physically interact with IKZF1 and IKZF3 in vitro and in vivo. When complexed with RUNXs, IKZFs become refractory to CRBN-dependent ubiquitylation and degradation induced by IMiDs. Importantly, genetic loss or chemical inhibition of RUNX proteins result in enhanced sensitivity of MM cells to IMiDs. Our data open the possibility of utilizing RUNX inhibition to potentiate IMiD therapy in MM.
Results
IKZF1 and IKZF3 physically associate with RUNX1 and RUNX3 in MM
IKZF1 and IKZF3 are transcription factors highly expressed in myeloma that contribute to myeloma cell survival [8, 9]. To better understand the function of IKZFs, we sought to identify novel physiologic binding partners. To this end, we generated a human MM cell line, ARP-1, stably expressing physiologic levels of FLAG-tagged human IKZF1 or IKZF3 via retroviral delivery. FLAG-peptide eluates from anti-FLAG affinity purifications, either from nuclear extract (nucleoplasm) or benzonase-extracted detergent-insoluble fraction (DNA-bound), were trypsinized and subjected to mass spectrometry analysis for protein identification (Fig. 1a and Supplementary Table 1). Relative to FLAG-immunoprecipitates from ARP-1 cells infected with an empty virus, the peptides corresponding to the NuRD and SWI/SNF complexes, known members of the IKZF1 and IKZF3 complexes, were identified (Fig. 1b, c) [20, 21]. Surprisingly, we identified the transcription factors RUNX1, RUNX3, and CBFβ as interactors of both IKZF1 and IKZF3 (Fig. 1b, c).
To validate our proteomic screen, we performed co-immunoprecipitation experiments in both ARP-1 and OPM-1, two MM cell lines, and confirmed the interaction between stably expressed FLAG-IKZF1 and IKZF3 and endogenous RUNX1 and RUNX3 (Fig. 1d). Reciprocal co-immunoprecipitation of endogenous IKZF3 was also observed in FLAG-RUNX1 and RUNX3 immunoprecipitates (Fig. 1e). Antibodies against the endogenous RUNX1/3 and IKZF1/3 were validated by siRNAs (Supplementary Fig. 1a). To rule out the possibility of DNA-mediated interaction, we incubated the anti-FLAG-IKZF1 and IKZF3 immunoprecipitates with benzonase to hydrolyze any residual DNA contamination. After extensive washes, we found that RUNX1 was still associated with the IKZFs, suggesting that DNA did not mediate this interaction (Fig. 1f). In agreement with the latter point, purified recombinant IKZF1 and IKZF3 displayed efficient interaction with in vitro-translated RUNX1 (Fig. 1g).
Since RUNX1 binds to the core binding factor β subunit (CBFβ) [22, 23], we determined whether IKZFs-RUNX1 form a ternary complex with CBFβ (Supplementary Fig. 1b). The interaction between IKZF1 and CBFβ was detected when RUNX1 was co-expressed, suggesting that the three proteins could form a complex. Importantly, the association of CBFβ with IKZF1 was not dependent on the ability of IKZF1 to form homodimers. Indeed, expression of FLAG-IKZF1 (1–400), a dimerization-impaired mutant that contains the first four zinc fingers (ZnFs) only [24], retained its ability to interact with CBFβ in a RUNX1-dependent manner (Supplementary Fig. 1c).
Collectively, these results suggest that IKZFs assemble a novel complex via direct interaction with RUNXs in MM cells. Moreover, IKZF1 utilizes the DNA-binding ZnFs to assemble a ternary complex with RUNX1-CBFβ.
IKZF1 and IKZF3 utilize the N-terminal ZnF domain to associate with the activation and inhibition domain in RUNX1
The IKZF proteins contain four N-terminal C2H2-type ZnFs involved in sequence-specific DNA binding [20, 24–26], and two additional C-terminal ZnFs that promote homo-dimerization and hetero-dimerization with the IKZF family members [24, 27]. To determine the domain required for interaction with RUNX1, we generated a series of N-terminal and C-terminal deletion mutants in IKZF3 (Fig. 2a, b). While deletion of the C-terminal ZnFs involved in dimerization did not result in loss of RUNX1 interaction (mutants Δ420-509 and Δ480-509) (Fig. 2a, b), deletion of the N-terminal ZnFs eliminated IKZF3–RUNX1 association (mutants Δ1-181, Δ1-243 and Δ1-279) (Fig. 2a, b).
In an effort to understand the relevance of individual ZnFs, we assessed the interaction of IKZF3 with mutations in the zinc-coordinating cysteines of each ZnF to RUNX1 (Fig. 2c). With this analysis, we demonstrated that ZnF (2) is critical in mediating interaction with RUNX1. To further confirm that IKZF3 N-terminal ZnFs are directly involved in RUNX1 interaction, we purified IKZF3 containing ZnF (1–4) or ZnF (5–6) and tested the association with RUNX1 in vitro. In agreement with our in vivo mapping (Fig. 2a), IKZF3-ZnF (1–4) are sufficient to directly interact with RUNX1, in contrast to IKZF3-ZnF (5–6), which are dispensable (Fig. 2d). Notably, the ZnF (1–4) in IKZF3 are highly similar to the corresponding ZnFs in IKZF1, with ZnF (2) displaying 100% sequence homology (Supplementary Fig. 1d). Thus, we interpret that binding results would be identical amongst IKZF1 and IKZF3. Attempts to recapitulate binding in vitro utilizing recombinant single ZnFs resulted in minimal interaction with RUNX1 (data not shown), potentially suggesting that the interaction surface with RUNX1 may have multiple contact points beyond ZnF (2).
RUNX1 contains an N-terminal conserved DNA-binding domain (called the Runt domain). This region is responsible for both sequence-specific DNA-binding and hetero-dimerization with CBFβ [22, 23]. At the C-terminus, RUNX1 possesses an activation domain (AD) that interacts with transcriptional co-activators, such as p300/CBP [28] and an inhibitory domain (ID) that counteracts the AD [29]. In an attempt to determine the IKZF3-interacting domain of RUNX1, we performed in vitro Glutathione S-Transferase (GST)-pull down utilizing the IKZF3 ZnF (1–4) fragment fused to GST as bait against in vitro-translated RUNX1 (either full-length or C-terminal truncations) (Fig. 2e, f). Deletion of a C-terminal region containing the AD and ID resulted in ablation of interaction with IKZF3, suggesting that AD and/or ID are necessary to promote interaction with IKZF3. To assess sufficiency, we purified recombinant AD and ID (either individually or in combination) fused to GST (Fig. 2g). Both GST-AD and GST-ID were sufficient to interact with IKZF3 in vitro, although when the AD and ID were combined, the interaction with IKZF3 was greatly enhanced (Fig. 2g). To confirm the requirement for the AD and ID in cells, we performed co-immunoprecipitation experiments using lysates of HEK293T cells expressing constructs encoding FLAG-tagged RUNX1 (Fig. 2h). To minimize non-specific interactions mediated by DNA, we expressed RUNX1 (K83D), a mutant which is incapable of binding DNA [30]. In agreement with our in vitro mapping, simultaneous ablation of AD and ID resulted in the loss of IKZF3 interaction (Fig. 2e, f), while individual deletion of the AD or ID did not impair, or only partially impaired, the interaction with IKZF3, respectively. Both in vitro and in vivo mapping data suggest that the interaction surface on RUNX1 requires the cooperation of the AD and ID.
Together, our data suggest that IKZF1 and IKZF3 utilize the DNA-binding N-terminal ZnFs but not the C-terminal ZnFs involved in homo-dimerization and hetero-dimerization, to interact with the AD and ID of RUNX1 (Fig. 2i).
RUNXs inhibit CRBN-dependent IKZF1 and IKZF3 degradation
Earlier work suggested that the therapeutic effects of the IMiDs reflect a CRBN gain-of-function favoring degradation of IKZFs [8, 9]. The region of IKZF1 that mediates lenalidomide-dependent binding to CRBN is located within the ZnF (2) [8, 9], thus overlapping with the identified RUNX1-binding site. These findings led us to hypothesize that RUNXs compete with CRBN for binding to IKZFs.
To test this hypothesis, we first analyzed the levels of IKZF1 in OPM-1 cells depleted of the RUNX proteins. In OPM-1 RUNX1+/+ RUNX3+/+ cells, lenalidomide-induced degradation of IKZF1 but not RUNX1 and RUNX3 (Fig. 3a). While the kinetics was unchanged in the single RUNX1−/− or RUNX3−/− knock-out cells, the double knock-out cells displayed an overall accelerated degradation of IKZF1 (Fig. 3a). Importantly, IKZF1 and IKZF3 were the only CRBN-substrates that displayed enhanced degradation in the RUNX1−/− RUNX3−/− cells upon drug treatment; ZFP91, another CRBN-target [31], showed a slight time-dependent decrease when cells were treated with lenalidomide and no change in the RUNX1−/− RUNX3−/− cells (Fig. 3b). Dose escalation experiments and EC50/EC80 calculation confirmed the accelerated degradation of IKZF1 and IKZF3 in the RUNX1−/− RUNX3−/− cells (Fig. 3c and Supplementary Fig. 2a).
To gain mechanistic insights into how RUNX proteins protect IKZF1 from IMiD-dependent degradation, we set out to test whether RUNX1 competes out CRBN for binding to IKZF1. In HEK293T cells treated with lenalidomide, IKZF1 was effectively enriched in FLAG-CRBN immunoprecipitates (Fig. 3d). Importantly, overexpression of RUNX1 abrogated IKZF1 binding to CRBN, in line with the hypothesis that RUNX1 and CRBN compete for the same binding site in IKZF1. RUNX1 not only displaced IKZF1–CRBN interaction, but also blocked CRBN-dependent IKZF1 ubiquitylation (Fig. 3e).
Previous evidences revealed that lenalidomide down-regulates IRF4 transcription, connecting this mechanism to the anti-myeloma activity [32–35]. Thus, we assessed whether the dimer RUNX1-IKZF1 is changed by lenalidomide at the IRF4 locus by chromatin immunoprecipitation (ChIP) (Fig. 3f). We confirmed decreased binding of IKZF1 at the IRF4 locus by ChIP in OPM-1 cells treated with lenalidomide. In RUNX1−/− RUNX3−/− cells, although slightly increased in DMSO-treated cells, IKZF1 downregulation by lenalidomide was more profound, confirming the function of RUNXs in protecting IKZF1 from degradation. Notably, IRF4 and MYC expression was lower in RUNX1−/− RUNX3−/− cells upon lenalidomide treatment (Fig. 3g). These data suggest that RUNXs and IKZFs work together at similar genomic sites and that ablation of RUNX proteins results into an amplification of the lenalidomide effect towards IKZF1/3 inhibition.
Next, we assessed the sensitivity of MM cell lines to lenalidomide. First, we assessed protein levels of RUNXs in four lenalidomide-insensitive MM cell lines (ARP-1, OPM-1, RPMI-8226, and KMS-11) and three lenalidomide-sensitive lines (NCI-H299, U266, and MM1S) (Supplementary Fig. 2b) [8]. RUNX1 was overall elevated in the lenalidomide-insensitive MM cell lines and downregulated in the sensitive lines, with KMS-11 being the only exception. Notably, loss of RUNX1 and RUNX3 in OPM-1 (Fig. 3h), ARP-1, and RPMI-8226 (Supplementary Fig. 2c) did not affect cell proliferation as compared to RUNX1+/+ RUNX3+/+ cells. Instead, a significant decrease in proliferation was detectable in the OPM-1 RUNX1−/− RUNX3−/− cells upon treatment with lenalidomide (Fig. 3h). These cells displayed sensitivity to 0.1 μM lenalidomide, a concentration at which a minimal effect on MM proliferation was detectable (Supplementary Fig. 2d). Similar sensitization was observed in OPM-1 RUNX1−/− RUNX3−/− cells upon pomalidomide treatment (Supplementary Fig. 2e) but not with the proteasome inhibitor bortezomib (Supplementary Fig. 2f).
Altogether, these data suggest that RUNX proteins protect IKZFs from CRBN-dependent degradation and genetic ablation of RUNXs sensitizes cells to low doses of IMiDs.
RUNX inhibition dissociates the IKZFs–RUNXs complex and potentiates the cytotoxic effect of lenalidomide in myeloma
To assess whether chemical inhibition of RUNXs results in changes in RUNXs–IKZFs interaction, we tested the pan-RUNX inhibitor, AI-10-104 [36]. AI-10-104 interferes with the association of RUNX with CBFβ, thereby leaving RUNX in an auto-inhibited state. AI-10-104 induced a dose-dependent dissociation of CBFβ and IKZF3 from RUNX1 (Fig. 4a) and RUNX3 (Fig. 4b). Importantly, treatment of cells with increasing concentrations of AI-10-104 resulted in increasing RUNX1 and RUNX3 dissociation from IKZF3 (Fig. 4a, b). Similar data were produced when IKZF1 was pulled down (Fig. 4c, d). AI-10-104 did not displace RUNX1–IKZF1/3 interaction at the AD–ID interface (Supplementary Fig. 3a), hence it is possible that AI-10-104 dissociates the RUNX1–CBFβ complex, resulting in a conformational change ultimately affecting IKZFs interaction.
Next, we tested whether the inhibition of RUNXs could enhance the cytotoxic effect of lenalidomide. To this end, we treated five MM cell lines with combination doses of lenalidomide and AI-10-104. Low doses of lenalidomide had a modest effect on MM cell proliferation (Fig. 4e), however, combination of the two drugs induced an overall proliferation defect in the MM cell lines tested (Fig. 4e). Combination index (CI) calculation revealed that the MM cells expressing low RUNX1 (NCI-H929, MM1S, and U266, Supplementary Fig. 2b) were particularly sensitive to the drug combination, revealing a synergic effect at sub-micromolar dosage (Fig. 4f). CI calculation for the lenalidomide-insensitive cells lines, OPM-1 and RPMI-8226 cells, also displayed synergy, although a higher concentration of both drugs was required. In line with this, combination of AI-10-104 and lenalidomide downregulated the myeloma oncogenes MYC and IRF4 (Supplementary Fig. 3b).
Notably, when used as single agent, AI-10-104 displayed a moderate effect on cell proliferation (Fig. 4e), in line with the genetic evidence that ablation of RUNX1 and RUNX3 had no effect on proliferation of MM cells (Fig. 3h and Supplementary Fig. 2c).
Finally, overexpression of RUNX1 in NCI-H929 cells displaying low levels of endogenous RUNX1 resulted in reduced degradation of IKZF1/3 (Supplementary Fig. 4a, b), as well as cell desensitization to lenalidomide treatment (Supplementary Fig. 4c). Moreover, RUNX inhibition enhanced IKZFs degradation upon lenalidomide treatment (Supplementary Fig. 4d, e).
Altogether, our data show that chemical inhibition of RUNX proteins increases the cytotoxic effect of lenalidomide in MM cell lines.
RUNX inhibition potentiates the transcriptional response induced by lenalidomide
To understand the molecular basis for the efficacy of the combination regiment of lenalidomide and RUNX inhibition in treating myeloma, we profiled gene expression changes by RNA sequencing of OPM-1 cells (Supplementary Tables 2, 3 and 4). To this end, we treated cells with 0.1 μM lenalidomide or 1 μM AI-10-104 and both in combination. As shown previously, single treatments at the indicated concentrations are not effective in blocking OPM-1 proliferation (Fig. 4e). Notably, low doses of lenalidomide resulted in deregulation of 69 genes as compared to DMSO counterparts while RUNX inhibition resulted in changes in 38 genes. Importantly, the combination of drugs promoted deregulation of 105 genes (Fig. 5a, b and Supplementary Fig. 5) with upregulation of 60 genes specifically (Fig. 5b). Gene ontology (GO) analysis revealed that the most consistent signatures upregulated by combining lenalidomide and RUNX inhibitor were those associated with interferon signaling, immune response, and inflammatory response (Fig. 5c). Similarly, gene set enrichment analysis (GSEA) revealed significant expression of interferon response gene signatures (Fig. 5d). Specifically, OPM-1 cells treated with the combination of drugs upregulated genes related to interferon (IFN) response relative to either agent alone, including HLA-DQA1, HLA-DRB1, CD74, OAS2, ISG15, NMI, IFIH1, and EPSTI1 (Fig. 5e).
These observations, coupled with the fact that myeloma cells are more sensitive to the combination of lenalidomide and RUNX inhibitor treatment prompted us to conclude that inhibition of RUNXs enhances the cellular response to lenalidomide, such that lower doses of lenalidomide are able to achieve a therapeutic effect.
Chemical inhibition of RUNXs potentiates lenalidomide toxicity in primary MM cells
We evaluated primary myeloma samples for their sensitivity to combinatorial therapy consisting of RUNX inhibitor and lenalidomide. Primary myeloma cells were isolated from the iliac crest of patients and subjected to CD138-positive purification. Treatment of diagnostic and relapsed myeloma samples (Fig. 6b) with AI-10-104 or lenalidomide alone resulted in minimal or no change in cell viability when compared to DMSO (Fig. 6a). The combinatorial treatment of AI-10-104 and lenalidomide instead displayed a significant inhibitory effect on the viability of primary myeloma samples. These data are in line with our previous observations in MM cell lines, where single treatment at low doses of lenalidomide or AI-10-104 did not reduce cell viability as compared with DMSO (Fig. 4e). Again, combination of the two drugs effectively reduced cell viability. Of note, the cytotoxic effect of the lenalidomide and AI-10-104 combination regiment was not dependent on patient treatment history (Fig. 6b).
Importantly, treatment of normal human hematopoietic cells with AI-10-104 resulted in an average IC50 of ~15 μM [36, 37], which greatly exceeded the toxic concentration for MM cell lines and MM primary cells. Thus, RUNX inhibition in myeloma patients should not result in toxic adverse effects on normal hematopoietic stem and progenitor cells. Our data suggest that a therapeutic window may exist for the combinatorial therapy of AI-10-104 derivatives and lenalidomide in MM patients.
Discussion
Here, we report for the first time that the transcription factors IKZF1 and IKZF3 are physically associated with the RUNX1 and RUNX3 proteins, master regulators of hematopoiesis [38]. IKZFs utilize the N-terminal DNA-binding ZnFs to interact with the AD and ID in RUNX1 and form a trimeric complex with RUNX1-binding partner CBFβ. Our findings are particularly interesting when compared with the anti-myeloma effect of the IMiD drug, lenalidomide. Lenalidomide binds CRBN, a CUL4 E3 ubiquitin ligase, and promotes the ubiquitylation and proteolysis of IKZF1 and IKZF3 [8, 9]. We show that interaction with RUNX1 results in the inhibition of IKZF1 ubiquitylation and degradation via the CRBN/lenalidomide complex. Mapping analysis reveals that RUNX1 interacts with the N-terminal ZnFs of IKZF1, a domain also involved in binding to CRBN. Therefore, it is reasonable to conclude that RUNX1 and CRBN compete for IKZF1 interaction and the ablation of RUNX1 and RUNX3 results in enhanced degradation of IKZF1 and IKZF3 upon exposure to lenalidomide. Consequently, RUNX1−/−RUNX3−/− MM cells display toxicity to nanomolar concentrations of lenalidomide. Importantly, the enhanced degradation of the IKZF proteins in the RUNX1−/−RUNX3−/− cells occurs within 4–12 h; time points at which no difference of cell viability is noticeable.
The cellular signaling programs responsible for CRBN-IMiD-mediated myeloma cytotoxicity are associated with upregulation of the interferon signaling pathway [8, 9, 12, 32]. In line with the cytotoxic effect in MM cells, RUNX inhibitor potentiates the transcriptional response induced by lenalidomide culminating in the activation of interferon response genes. Thus, deregulation of RUNXs axis could represent an avenue to enhance the anti-myeloma effects of the IMiDs. Further investigation would be necessary to uncover non-cell autonomous mechanisms of this combination therapy; for instance, how lenalidomide and AI-10-104 affect the interaction between myeloma and stroma cells in the bone marrow [39].
Introduction of proteasome inhibitors (bortezomib and carfilzomib) and IMiDs have changed the treatment paradigm for myeloma [40–42]. However, myeloma remains incurable and new treatments are currently being studied. Here, we show that inhibition of RUNXs via the small molecule inhibitor AI-10-104 [36] potentiates the cytotoxic effect of lenalidomide in MM cells. RUNX1 downregulation was previously suggested as a possible therapeutic avenue for the treatment of MM [43]. Furthermore, previous evidence points out a role for RUNX2 in promoting expression of multiple metastatic genes and favoring homing of MM cells to the bone [44]. Our data suggest that RUNX proteins are dispensable with regard to the proliferation potential of MM cells, and the drugs that achieve pan-inhibition of the RUNX proteins might act as an intervention point for the treatment of MM, particularly in combination with low doses of lenalidomide (Supplementary Fig. 6).
Methods
Cell culture
ARP-1, OPM-1, KMS-11, RPMI-8226, NCI-H929, and U266 were maintained in RPMI1640 media containing 10% fetal bovine serum (FBS). HEK293T cells were maintained in Dulbecco’s modified Eagle’s media (DMEM) containing 10% FBS. Primary myeloma cells were obtained from the iliac crest aspirates from MM patients. All patients provided written informed consent under a research sample collection protocol approved by the University of Pennsylvania Institutional Review Board. CD138+ cells were isolated with Ficoll Paque Plus (GE Healthcare, #17-1440-02) and CD138+ Microbeads (Miltonic Biotic, #130-051-301) according to the manufacturer’s protocol. Primary CD138+ cells were maintained in RPMI1640 media containing 50% own serum from the corresponding patients.
Reagents
The following antibodies were used: anti-FLAG (Sigma, F7425), anti-IKZF3 (Cell Signaling, #15103), anti-IKZF1 (Cell Signaling, #9034), anti-RUNX1 (Abcam, ab92336), anti-RUNX3 (Cell Signaling, #9647), anti-CBFβ (Santa Cruz, sc-20693), anti-CRBN (Sigma, HPA045910), anti-ubiquitin (K48) (EMD Millipore, #05-1307), anti-TUBULIN (Santa Cruz, sc-8035), anti-VINCULIN (Santa Cruz, sc-73614), anti-Rabbit IgG-HRP (GE Healthcare, NA934V), and anti-mouse IgG-HRP (GE Healthcare, NA931V). The following agarose beads were used: anti-FLAG M2 Affinity Gel (Sigma, A2220) and Glutathione Sepharose 4B (GE Healthcare, #17075601). The following in vitro translation kit was used: TNT T7 Coupled Reticulocyte Lysate Systems (Promega, L4610). Benzonase was used according to manufacturer (Sigma, E1014). The following compounds were used: Lenalidomide (Sigma, CDS022536), Pomalidomide (Sigma, P0018), Bortezomib (Millennium Pharmaceuticals), and AI-10-104 was kindly provided by Dr. John H. Bushweller.
Gene silencing by siRNA
siRNA sequences are as follows: siRUNX1, 5′-CCUCGAAGACAUCGGCAGAAA-3′; siRUNX2, 5′-CUCUGCACCAAGUCCUUUU-3′; and siRUNX3, 5′-CCUUCAAGGUGGUGGCAUU-3′. The following siRNAs were obtained from Dharmacon: siIKZF1 #1 (D-019092-01), siIKZF1 #2 (D-019092-02), siIKZF1 #3, (D-019092-03), siIKZF1 #4 (D-019092-04), siIKZF3 #3 (D-006945-03), siIKZF3 #4 (D-006945-04), siIKZF3 #17 (D-006945-17), siIKZF3 #18 (D-006945-18), and ON-TARGETplus. Non-targeting control siRNAs were obtained from Dharmacon (D-001810-01-20).
Plasmids
The detailed information regarding plasmid constructions is available by request. And the target sequences used to knock-out human RUNXs are as follows: hRUNX1_gRNA#1 Fwd: ATGAGCGAGGCGTTGCCGCT, Rev: AGCGGCAACGCCTCGCTCAT; hRUNX3_gRNA#6 Fwd: GCCCGAGGTGCGCTCGATGG, Rev: CCATCGAGCGCACCTCGGGC; and control_gRNA Fwd: CTTCGAAATGTCCGTTCGGT, Rev: ACCGAACGGACATTTCGAAG.
Immunoprecipitation and immunoblot
Cells were lysed in NP-40 buffer (0.1% NP-40, 15 mM Tris–HCl pH7.4, 1 mM EDTA, 150 mM NaCl, 1 mM MgCl2, 10% Glycerol) containing protease inhibitors (Sigma, #11697498001) and the lysates were incubated with anti-FLAG Gel at 4 °C overnight. After washing, the anti-FLAG Gel was mixed with Laemmli buffer and boiled at 95 °C for 5 min. After SDS–PAGE electrophoresis and transfer, primary antibodies and HRP-linked secondary antibodies were incubated with the membrane for 1 h at room temperature and overnight at 4 °C, respectively. Where indicated, anti-FLAG immunoprecipitates were resuspended in 50 μl of NP-40 buffer, incubated with 1 μl of Benzonase for 30 min on ice, and further washed twice. For GST pull-down, GST-tagged proteins were incubated with in vitro translated FLAG-tagged proteins at 4 °C overnight. After washing with PBS-T three times and PBS once, the membrane was detected by the chemiluminescence system (Thermo Fisher Scientific, #32106).
Chromatin immunoprecipitation
Cells were cross-linked using 1% formaldehyde for 5 min. Then cells were incubated with 125 mM glycine for 5 min. After centrifugation at 1000 rpm, 4 °C for 5 min, cell pellets were washed with PBS once and lysed with cell lysis buffer (0.2% NP-40, 100 mM Tris–HCl pH8, 10 mM NaCl) for 10 min on ice. After centrifugation at 2500 rpm, 4 °C for 5 min, the pellets were re-suspended with nucleus lysis buffer (0.1% SDS, 50 mM Tris–HCl pH8, 10 mM EDTA) to do sonication using the Covaris S220 system (Thermo Fisher Scientific, #4465653) according to the manufacturer’s protocol. After sonication, the cell lysates were centrifuged at 13,000 rpm, 4 °C for 5 min and the supernatant was collected. Then 10 μl of Dynabeads Protein A (Life Technology, #10001D) were blocked with 1 mg/ml of BSA at 4 °C for 1 h and 30 μl of Dynabeads were washed with PBS for three times and incubated with 5 μg of antibodies at 4 °C for 4 h. Three hundred microliters of sonicated nucleus lysates were incubated with 10 μl of BSA-blocked Dynabeads at 4 °C for 3 h. After 3 h, the pre-cleared 300 μl of nucleus lysates and 700 μl of IP buffer (0.01% SDS, 1% TritonX-100, 20 mM Tris–HCl pH8, 2 mM EDTA, 150 mM NaCl) was incubated with 30 μl of antibody-conjugated Dynabeads at 4 °C overnight. Then the Dynabeads were washed twice with low salt IP wash buffer (0.01% SDS, 1% TritonX-100, 20 mM Tris–HCl pH8, 2 mM EDTA, 50 mM NaCl), twice with medium salt IP wash buffer (0.01% SDS, 1% TritonX-100, 20 mM Tris–HCl pH8, 2 mM EDTA, 300 mM NaCl), and twice with high salt IP wash buffer (0.01% SDS, 1% TritonX-100, 20 mM Tris–HCl pH8, 2 mM EDTA, 500 mM NaCl). The Dynabeads were washed once with LiCl buffer (1% NP-40, 1% deoxycholic acid, 10 mM Tris–HCl pH8, 1 mM EDTA, 0.25 M LiCl) and once with TE buffer (10 mM Tris–HCl pH8, 1 mM EDTA). The chromatin reverse cross-linking and DNA elution was then conducted using IPure kit (diagenode, C03010015) according to the manufacturer’s protocol.
Quantitative real-time PCR (qRT-qPCR)
qRT-PCR was conducted with SYBR Green PCR Master Mix (Thermo Fisher Scientific, #4309155) and the comparative CT method was utilized for relative quantification on the ViiA 7 real-time PCR system (Thermo Fisher Scientific). The primer sequences are as follows: for ChIP analysis, hIRF4 Fwd: 5′-AGTTGCAGGTTGACCTACGG-3′, Rev: 5′-AGCTTTCACCCGTTGAGCTT-3′; for mRNA analysis, hIRF4 Fwd: 5′-ATTCCAGGTGACTCTATG-3′, Rev: 5′-GATTGCTGATGTGTTCTG-3′, hMYC Fwd: 5′-CCACCAGCAGCGACTCTG-3′, Rev: 5′-AGCCTGCCTCTTTTCCAC-3′, hGAPDH Fwd: 5′-GGAGCGAGATCCCTCCAAAAT-3′, Rev: 5′-GGCTGTTGTCATACTTCTCATGG-3′.
MudPIT analysis
TCA-precipitates were urea-denatured, reduced, alkylated, and digested with endoproteinase Lys-C (Roche), followed by modified trypsin (Roche) [45, 46]. Peptide mixtures were loaded onto 100-µm-fused silica microcapillary columns packed with 5-μm C18 reverse phase (Aqua, Phenomenex), strong cation exchange particles (Luna, Phenomenex) [47]. Loaded microcapillary columns were placed in-line with a Quaternary Agilent 1100 series HPLC pump and a LTQ linear ion trap mass spectrometer equipped with a nano-LC electrospray ionization source (Thermo Scientific). Fully-automated 10-step MudPIT runs were carried out on the electrosprayed peptides, as described [48]. Tandem mass (MS/MS) spectra were interpreted using SEQUEST [49] against a database of 72,956 sequences, consisting of 72,968 non-redundant human proteins (downloaded from NCBI on 2015-03-25), 148 usual contaminants (such as human keratins, IgGs, and proteolytic enzymes), and to estimate false-discovery rates, 73,091 randomized amino-acid sequences derived from each non-redundant protein entry. Peptide/spectrum matches were sorted and selected using DTASelect with the following criteria set: spectra/peptide matches were only retained if they had a DeltCN of at least 0.08 and a minimum xcorr of 1.8 for singly charged, 2.5 for doubly charged, and 3.5 for triply charged spectra. In addition, peptides had to be fully tryptic and at least seven amino acids long. Combining all runs, proteins had to be detected by at least two such peptides, or one peptide with two independent spectra. Under these criteria the averagel FDRs at the protein and spectral levels were 0.5 ± 0.3% and 0.06 ± 0.05%, respectively. Peptide hits from multiple runs were compared using CONTRAST [50]. To estimate relative protein levels, normalized spectral abundance factors (NSAFs) were calculated for each detected protein, as described [51–53]. Original data underlying this manuscript can be accessed from the Stowers Original Data Repository at http://www.stowers.org/research/publications/libpb-1237.
Transfection and retrovirus-mediated gene transfer
HEK293T cells were transfected with plasmids using polyethylenimine (PEI) (Polysciences, #24765). For retrovirus and lentivirus production, GP2-293 packaging cells (Clontech) or pCMV-DeltaR8.2 were used. After 72 h of transfection, the virus-containing media was collected and used to spin-infect the cells at 1800 rpm for 40 min. Cells were then incubated with the viral supernatant overnight. For siRNA transfection, the Neon transfection system (Thermo Fisher Scientific, #MPK5000) was used.
RNA-Seq
Total RNA was extracted from OPM-1 cells using RNeasy Mini Kit (QIAGEN, #74104) and polyA+ transcripts were isolated with NEBNext Poly(A) mRNA Magnetic Isolation Module (NEB, #7490). RNA-Seq libraries were prepared with NEBNext Ultra Directional RNA Library Prep Kit for Illumina (NEB, E7420). Three biological replicates were sequenced on a NextSeq 500 (Illumina) at a depth of at least 2 × 107 reads each. Reads were mapped and analyzed with a bioinformatic pipeline based on STAR, SAMTOOLS, and the R packages DEGseq and DEseq2. We used human genome version GRCh38. GO analyses were performed using version 6.8 of the DAVID web server. GSEA analyses were performed using pre-ranked GSEA using a weighted scoring [54]. Original data can be accessed at GSE123660.
Cell proliferation assay
OPM-1, RPMI-8226, NCI-H929, MM1S, and U266 cells were cultured in six-well plates. The initial cell number was 100,000 cells per well and the cell numbers were counted and re-plated at the initial concentration every 3 days. Lenalidomide and AI-10-104 were added into the culture media after dilution every 3 days. The cell counting was conducted with Z2 Coulter Counter Analyzer (Beckman Coulter, #6605700).
Trypan blue exclusion assay
Fifteen microliters of 0.4% Trypan blue solution (Cellgro, #25-900-CI) was mixed with 15 μl of CD138+ cell suspension and incubated for 2 min at room temperature. The viable cell numbers were counted using a hemocytometer (Fisher Scientific, #02-671-10).
Statistical analyses
All statistical analyses were performed with Prism 6 (GraphPad), and sample sizes and reproducibility for each figure are shown in the figure legends. Student’s t-tests and one-way or two-way ANOVA analyses were performed and indicated in the figure legends. CIs were calculated with CompuSyn software. All graphs show mean values with error bars signifying s.d. as indicated in the figure legends.
Supplementary information
Acknowledgements
The authors thank Ashley N. Hughes and Grant Grothusen for critically reading the manuscript and Nancy A. Speck for kindly providing RUNX1 constructs. This work was supported in part by grants R00-CA166181-04 and R01-CA207513-01 from the National Cancer Institute to L.B.
Author contributions
LB conceived, directed the project, and oversaw the results. NZ designed and performed most experiments. XYZ helped NZ with experiments in Figs. 3i, 4c, S2a, S3. AGU performed experiments in Figs. 1a, 1b, 2b, 2c. AS, LF and MPW performed the mass spectrometry analysis of the IKZF complexes purified by AG-U, DV, ALG, LBe isolated the primary myeloma sample. RC performed experiments in Fig. 4e. AI and JHB provided the AI-10-104. LB and NZ wrote the manuscript.
Data availability
The authors declare that the data supporting the findings of this study are available upon reasonable requests.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version of this article (10.1038/s41375-019-0403-2) contains supplementary material, which is available to authorized users.
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Data Availability Statement
The authors declare that the data supporting the findings of this study are available upon reasonable requests.