Skip to main content
ACS AuthorChoice logoLink to ACS AuthorChoice
. 2023 Nov 22;145(48):26028–26037. doi: 10.1021/jacs.3c06179

Bifunctional Small Molecules That Induce Nuclear Localization and Targeted Transcriptional Regulation

William J Gibson †,‡,§,*, Ananthan Sadagopan †,, Veronika M Shoba , Amit Choudhary †,, Matthew Meyerson †,‡,§,∥,*, Stuart L Schreiber †,■,*
PMCID: PMC10704550  PMID: 37992275

Abstract

graphic file with name ja3c06179_0005.jpg

The aberrant localization of proteins in cells is a key factor in the development of various diseases, including cancer and neurodegenerative disease. To better understand and potentially manipulate protein localization for therapeutic purposes, we engineered bifunctional compounds that bind to proteins in separate cellular compartments. We show these compounds induce nuclear import of cytosolic cargoes, using nuclear-localized BRD4 as a “carrier” for co-import and nuclear trapping of cytosolic proteins. We use this system to calculate kinetic constants for passive diffusion across the nuclear pore and demonstrate single-cell heterogeneity in response to these bifunctional molecules with cells requiring high carrier to cargo expression for complete import. We also observe incorporation of cargo into BRD4-containing condensates. Proteins shown to be substrates for nuclear transport include oncogenic mutant nucleophosmin (NPM1c) and mutant PI3K catalytic subunit alpha (PIK3CAE545K), suggesting potential applications to cancer treatment. In addition, we demonstrate that chemically induced localization of BRD4 to cytosolic-localized DNA-binding proteins, namely, IRF1 with a nuclear export signal, induces target gene expression. These results suggest that induced localization of proteins with bifunctional molecules enables the rewiring of cell circuitry, with significant implications for disease therapy.

Introduction

Cells partition their components into separate compartments to regulate information flow and to concentrate biomolecules. Eukaryotic cells possess two main compartments: the cytosol and the nucleus. The trafficking of proteins across the nuclear membrane can be either passive, in the case of proteins less than 90 kDa, or facilitated by active transport.1,2 Recent research further emphasizes the importance of protein spatial localization, as demonstrated by the discovery and diverse functions of phase-separated biomolecular condensates.3 The translocation of proteins from one compartment to another is the defining event in several biological cascades. Examples include the release of cytochrome c from the mitochondrial intermembrane space to the cytosol to initiate apoptosis or, conversely, the sequestration of eIF2α to membraneless stress granules for translational pausing, facilitating survival upon cellular stress.4,5 Nuclear transport, in particular, is often a potent signaling event; many transcription factors typically reside in the cytosol but translocate to the nucleus upon activation. These transcription factors include the FoxO, STAT, and nuclear hormone receptor families of proteins.68

Given the diverse biological processes that are impacted by alternative protein localization, we sought to develop molecules that can control protein localization. We hypothesized that chemically induced proximity could be used to induce the co-localization of proteins that normally exist in opposing compartments and thereby translocate one from its normal location to a new one. Earlier work has demonstrated that altering the localization of proteins is possible using the FKBP/FRB system.9 Such work showed that proteins could be recruited into the nucleus or to the plasma membrane but required appending ligandable tags to both of the proteins as well as strong localization signals such as the SV40 NLS or myristoylation signals. These studies used either exceptionally powerful natural products such as rapamycin or less druglike composites of natural products such as FK506 and Cyclosporin A. We aimed to explore whether bifunctional compounds could be used to move proteins without the use of a dual-tagging system by leveraging a small-molecule binder of the endogenous protein BRD4.

We reveal bifunctional small molecules capable of inducing protein translocation from the cytosol to the nucleus. Such molecules may have important applications in human health, including cancer treatment.

Results

Chemically Induced Proximity with BRD4 Rapidly Induces Nuclear Localization of the Targeted Protein

We hypothesized that chemically induced proximity of a protein of interest with a constitutively nuclear protein would induce nuclear localization of the target protein (Figure 1a). To achieve this, we sought out proteins that are abundant and nuclear localized and have well-validated small-molecule binders that could be functionalized. The members of the BET bromodomain family of proteins (BRD2, BRD3, BRD4, and BRDT) fit these criteria and are all high-affinity targets of (+)-JQ1, a small molecule that has been used to make many bifunctional compounds.10 We synthesized a bifunctional molecule consisting of JQ1 and AP1867, a high-affinity (Kd = 94 pM) ligand of FKBPF36V,11 with a PEG2-diamine linker: Nuclear Import and Control of Expression compound 1 (NICE-01, Figure 1b).

Figure 1.

Figure 1

Rapid import of GFP into the nucleus by AP1867-PEG2-JQ1 (NICE-01). (A) Schematic of the Nuclear Import and Control of Expression (NICE) concept. A bifunctional molecule allows import of a cytosolic protein of interest into the nucleus. (B) Structure of AP1867-PEG2-JQ1. (C) U2OS cells co-transfected with mCherry-BRD4 and FKBPF36V-mEGFP, treated with NICE-01 (200 nM) or DMSO, and imaged for 40 min. (D) 293T cells stably expressing FKBPF36V-mEGFP, treated with NICE-01 (250 nM) or DMSO, and imaged for 3 h. (E) 293T cells stably expressing FKBPF36V-mEGFP and co-treated with NICE-01 (250 nM) and either JQ1 or AP1867 at the indicated concentration and imaged for 15 min. (F) 293T cells stably expressing FKBPF36V-mEGFP and transfected with mCherry-BRD4, and either untreated or treated with NICE-01 (250 nM, 10 μM), and imaged for 15 min. White arrows indicate representative cells exhibiting the hook effect. Red arrow indicates representative cell with mCherry-BRD4 expression that does not exhibit hook effect. (G) 293T cells stably expressing FKBPF36V-mEGFP and transfected with mCherry-BRD4 and treated with NICE-01 (250 nM) and imaged for 50 min. 100 mCherry+ and mCherry– cells were randomly selected and assessed for complete import of mEGFP (cellular nuclear/cytosolic mEGFP intensity ≥2.5). P values were calculated by Fisher’s exact test.

Cells co-transfected with FKBPF36V-mEGFP and mCherry-BRD4 showed rapid translocation of FKBPF36V-EGFP to the nucleus following addition of NICE-01 (200 nM, 40 min; Figure 1c). The combination of AP1867 and JQ1 was unable to induce this effect (Figure S1). We then hypothesized that endogenous BET-containing proteins could be used as “carriers” for nuclear import. In cells stably expressing FKBPF36V-mEGFP, NICE-01 (250 nM, 3 h) enriched mEGFP in the nucleus (Figure 1d and Figure S1). This effect could be complemented by JQ1 or AP1867 at high concentrations (10 μM, Figure 1e).

One defining characteristic of bifunctional compounds, as opposed to molecular glues, is the observation of a dose response that decreases at very high compound concentrations called the “hook effect”.12 In cells lacking exogenous mCherry-BRD4, 10 μM NICE-01 was unable to induce nuclear import of FKBPF36V-mEGFP. However, transfection of mCherry-BRD4 was sufficient for import to occur at this dose. These data are consistent with theoretical work, which predicted that a decrease in ternary complex formation at a given concentration of compound can be mitigated by further addition of the protein whose presence in the complex is rate-limiting13 (Figure 1f).

Recent studies have highlighted the importance of stoichiometry of the proteins involved in ternary complex formation for the biological activity of bifunctional molecules.14 We also found that the stoichiometry of the components of the ternary complex was key to nuclear import. Indeed, we observed weaker FKBPF36V-mEGFP import when reliant on endogenous BET-containing proteins, with lack of mEGFP cytosolic exclusion (Figure 1g and Figure S1, P < 10–15), likely related to the exceptionally high protein levels achieved through transient transfection compared to endogenous proteins. This observation suggests that the cell specificity of nuclear import is quantitatively influenced by expression of the nuclear-localized carrier. Ligand affinity appears to be important as well. Bifunctional molecules constructed from synthetic ligand of FKBP (SLF), which binds with low micromolar affinity to wild-type FKBP,15 instead of AP1867, required much higher concentrations (5 μM) to induce nuclear localization of FKBP-mEGFP in the presence of mCherry-BRD4 (data not shown).

mEGFP nuclear import may conceivably occur through two mechanisms. First, the protein of interest may co-import with BRD4 in the presence of bifunctional molecules, like how smaller mediator complex subunits without NLSs “piggyback” off of larger NLS-containing subunits.16 Second, the protein of interest may passively diffuse across the nuclear pore; in this case, the bifunctional molecule shifts the equilibrium toward the nucleus by sequestering the nuclear fraction with BRD4, thereby preventing export (“nuclear trapping”). If a protein whose size would be expected to dramatically slow or disallow passive diffusion across the nuclear pore demonstrated nuclear localization at a rate similar to that of a readily diffusible small protein, then the “piggybacking” mechanism would predominate. To distinguish between these possibilities, we tested the cancer-driver PIK3CAE545K mutant in our system, which is too large to passively diffuse across the nuclear pore (110 kDa; 149 kDa with FKBPF36V-mEGFP N-terminal fusion).2NICE-01 was able to import FKBPF36V-mEGFP-PIK3CAE545K in cells co-transfected with mCherry-BRD4 (Figure S2). However, the time required for import (∼3 h) was much longer than FKBPF36V-mEGFP, consistent with passive diffusion and nuclear trapping being the predominant mechanism of import for small proteins (Figure S2). While nearly all cells co-transfected with FKBPF36V-EGFP and mCherry-BRD4 showed complete nuclear localization of GFP within 1 h, only about half of cells transfected with FKBPF36V-mEGFP-PIK3CAE545K showed nuclear localization within 3 h. The annotated importin-β inhibitor importazole was unable to block the import of FKBPF36V-EGFP or FKBPF36V-mEGFP-PIK3CAE545K, suggesting that either the size limit of diffusion across the nuclear pore is greater than previously demonstrated, importazole is not a reliable inhibitor of importin-β, or BRD4 import involves other importin family members such as transportin (Figure S2).

As diffusion of protein cargo across the nuclear membrane is required for nuclear trapping on short time scales, we hypothesized that the kinetic parameters of protein diffusion across the nuclear membrane could be calculated using the observed shift in FKBPF36V-mEGFP concentration upon compound treatment. We constructed a model of the steps in nuclear relocalization (Figure S3). The fraction of cytosolic FKBPF36V-mEGFP was quantified for individual cells. Nuclear import showed first-order kinetics with respect to the FKBPF36V-mEGFP fraction in the cytoplasm after a short initial period (during which nuclear FKBPF36V-mEGFP (39.4 kDa) forms a ternary complex with mCherry-BRD4 and NICE-01); kimport was estimated to be 0.0266 min–1, and t1/2 = 26 min (Figure S3). This estimate is near the rate of passive import of similarly sized maltose-binding protein (MBP, 42.5 kDa) in HeLa cells (kimport = 0.0132 min–1, t1/2 = 53 min).17 These data indicate that a bifunctional compound that binds BRD4 induces the nuclear sequestration of target proteins.

Nuclear Localizing Bifunctional Compounds Correct the Localization of the Cancer-Associated Nucleophosmin Protein and Alter Nuclear Condensates

The most common subtype of acute myeloid leukemia is defined by heterozygous mutations in the NPM1 gene that cause its aberrant cytosolic localization (NPM1c).18 Mutations in NPM1 occur exclusively at the C-terminus of the protein and induce a frameshift that simultaneously abolishes a nucleolar localization signal and introduces a neonuclear export signal (NES). The neo-NES causes exportin-1 (XPO1, CRM1) to bind and export the protein from the nucleus, shifting the equilibrium of protein localization to a predominantly cytosolic pattern in a dominant negative manner as NPM1c oligomerizes with wild-type NPM1.1921 Prior work has suggested that relocalizing the cytoplasmic mutant NPM1c into the nucleus can reduce the expression of HOX genes, thereby inducing leukemic differentiation and cell death.22 We sought to determine whether nuclear relocalizing bifunctional compounds could be used to relocalize mutant NPM1c into the nucleus. Cells co-transfected with FKBPF36V-mEGFP-NPM1c and mCherry-BRD4 showed rapid relocalization of FKBPF36V-mEGFP-NPM1c into the nucleus within minutes upon treatment with NICE-01 (Figure 2a,b; P = 4.4e-185 for the Mann–Whitney U test between distribution of cellular mEGFP-mCherry correlation before compound addition and 25 min after NICE-01 addition).

Figure 2.

Figure 2

Import of cytosolically localized NPM1c into nuclear BRD4 condensates upon addition of bifunctional molecule NICE-01. (a) 293T cells co-transfected with FKBPF36V-EGFP-NPM1c and mCherry-BRD4 before (top) and 25 min after (bottom) NICE-01 treatment (250 nM). (b) Box plot of cellular mEGFP-mCherry pixel intensity correlation, before and 25 min after NICE-01 treatment (250 nM, P values calculated from Mann–Whitney U test). Each dot represents one cell. (c) Histograms of relative log2(integrated mEGFP cellular intensity/integrated mCherry cellular intensity) for cells with co-localized mEGFP and mCherry (mEGFP-mCherry pixel intensity correlation coefficient: R ≥ 0.75) or non-co-localized (mEGFP-mCherry pixel intensity correlation coefficient: R < 0). P values calculated from the Kolmogorov–Smirnov test. (d) High-resolution images of U2OS cells co-transfected with FKBPF36V-EGFP-NPM1c and mCherry-BRD4 before (top) and 55 min after (bottom) NICE-01 treatment (250 nM). (e) Image of two condensates fusing from panel d; arrows highlight two separate condensates fusing into one. (f) Image of condensate undergoing fission from panel d; arrows highlight condensate fission.

Interestingly, not all cells showed a uniform response to treatment with compound; the duration required for mEGFP nuclear import varied, and nuclear relocalization was not observed in all cells. We observed that cells with a low degree of NPM1c import often had lower mCherry-BRD4 intensity. We hypothesized that for a given amount of FKBPF36V-EGFP-NPM1c, an increasing amount of BRD4 may increase the rate and extent of nuclear import. We therefore analyzed the characteristics of cells at a time point during which only some cells showed clear nuclear import (25 min). Cells that did not demonstrate import had a significantly higher ratio of FKBPF36V-EGFP-NPM1c to mCherry-BRD4 in comparison to cells that demonstrated more complete import (Figure 2c, P = 7.7 × 10–9 for the Kolmogorov–Smirnov test between distributions). Taken together, these data suggest that the stoichiometry of components of the ternary complex can impact the phenotypic response to bifunctional compounds and may explain observed single-cell phenotypic heterogeneity.

We hypothesized that bifunctional compounds could enforce co-localization of proteins not only within macrocompartments but also within smaller intracellular compartments such as phase-separated condensates. We performed high-resolution microscopy imaging every 1 min in U2OS cells co-transfected with NPM1c and BRD4, treated with NICE-01, and confirmed that NPM1c in the cytosol and in nucleolar condensates moved into BRD4 condensates, mostly in the nucleus and sometimes in the cytosol (Figure 2d and Movie S1). We confirmed these structures were condensates by observing them undergo fusion and fission over several minutes (Figure 2e,f). We note the incorporation of FKBPF36V-mEGFP into nuclear condensates even when they are reliant on endogenous BET-containing proteins for import (Figure 1e). These findings indicate proximity-inducing molecules can alter condensate composition in a targeted manner.

We next sought to determine if other nuclear carriers could be used to induce the localization of NPM1c into the nucleus, and we hypothesized that p53 could be one such carrier. 293T cells were transfected with FKBPF36V-mEGFP-NPM1c and Halo-p53R273H-mCherry, which to our surprise demonstrated that Halo-p53R273H-mCherry was localized to the cytoplasm only when co-transfected with FKBPF36V-mEGFP-NPM1c (Figure 3a). These findings are corroborated by a recent report.23

Figure 3.

Figure 3

NPM1c exports p53 out of the nucleus and fails to import p53 upon the addition of NICE-01. (a) 293T cells imaged following mono-transfection or co-transfection with FKBPF36V-mEGFP-NPM1c and Halo-p53R273H-mCherry. (b) RNAi co-dependency analysis of NPM1 across DepMap. (c) CRISPR and RNAi TP53 dependency score in AML cell lines across DepMap, colored by TP53/NPM1 mutation status. (d) NPM1 and TP53 comutation plot across OHSU acute myeloid leukemia cohort from cBioPortal. (e) 293T cells co-transfected with FKBPF36V-mEGFP-NPM1c, BRD4-Flag, and Halo-p53R273H-mCherry, treated with NICE-01 (250 nM) and imaged for 90 min. Top right cell displays FKBPF36V-mEGFP-NPM1c import but lack of p53 co-import.

Cytosolic p53 is physically separated from DNA, likely inhibiting much of its tumor suppressive activity. Therefore, NPM1c-mediated p53 export could represent a significant contribution to the oncogenicity of the mutation, which is not well understood. This is supported by three lines of evidence. First, the genes for p53 and its E3 ligases, Mdm2 and Mdm4, are the top co-dependencies of NPM1 inactivation across the Cancer Cell Line Encyclopedia24 (RNAi Achilles + DRIVE + Marcotte, DEMETER2; Figure 3b). Second, the only NPM1c mutant AML cell line in the Cancer Cell Line Encyclopedia, OCI-AML3, which has wild-type TP53, displays the smallest fitness gain upon TP53 knockout of all TP53 wild-type AML cell lines (Figure 3c). Third, NPM1c mutations are mutually exclusive with p53 mutations in AML (P = 1.2 × 10–6 for Fisher exact test on OHSU AML cohort, Figure 3d).25 However, NICE-01 could not relocalize Halo-p53R273H-mCherry in 293T cells expressing BRD4-Flag and FKBPF36V-mEGFP-NPM1c, suggesting that p53 is not consistently physically tethered to NPM1c in such a way that it must always co-localize (Figure 3e).

Chemically Induced Import of Cytosolic Transcription Factor Induces a Transcriptional Response

The nuclear membrane sometimes acts as a barrier to prevent the activation of transcription factors that normally reside in the cytosol.26 Upon activation, these transcription factors translocate to the nucleus, where they can bind their target sites and induce transcription. Transcription factors that follow this pattern include nuclear hormone receptors ER, AR, and some of the STAT and IRF family proteins.7,8,27 We hypothesized that NICE-01 could induce nuclear import and transcriptional activation of such cytosolic transcription factors. We selected the prototypical IRF family member, IRF1, for its restricted and well-described transcriptional profile.28,29 An NES was appended to IRF1 to aid in the detection of nuclear translocation and facilitate the use of this construct in an “up-assay”.30

In the absence of bifunctional compound, FKBPF36V-mEGFP-IRF1-NES was excluded from the nucleus (Figure S4). We observed rapid mEGFP import (<20 min) in cells co-expressing mCherry-BRD4 and FKBPF36V-mEGFP-IRF1-NES when treated with NICE-01 (250 nM). However, we could not detect FKBPF36V-mEGFP-IRF1-NES import in the absence of exogenous BRD4 by light microscopy, likely due to a large excess of FKBPF36V-mEGFP-IRF1-NES compared to BRD4 (Figure S4). Though not visibly apparent, we hypothesized that nuclear residence time of transcriptionally active FKBPF36V-mEGFP-IRF1-NES was substantially increasing under these conditions, and FKBPF36V-mEGFP-IRF1-NES could be getting incorporated into BRD4 condensates driving expression of IRF1 target genes. Consistent with this hypothesis, we found significant upregulation of IRF1 ChIP-seq targets31 including IFI6, MT2A, IFI1, and B2M by RNA-seq (P = 3.4 × 10–9 for one sample t test versus μ = 0) in 293T cells treated with NICE-01 (250 nM) and expressing FKBPF36V-mEGFP-IRF1-NES (Figure 4a). We also observed significant positive enrichment of the hallmark interferon response gene sets by gene set enrichment analysis32 (IFNα, NES = 3.31, q < 0.001; IFNγ, NES = 3.26, q < 0.001; Figure 4b). Therefore, we demonstrate that chemically induced localization of BRD4 to cytosolic transcription factors is sufficient to induce expression of their target genes.

Figure 4.

Figure 4

Import of cytosolic-localized transcription factor into the nucleus drives transcription. (A) 293T cells transfected with FKBPF36V-mEGFP-IRF1-NES and treated with NICE-01 (250 nM) or JQ1-PEG2-NH2 + AP1867 (binders, 250 nM each) and subject to RNA sequencing. Volcano plot showing upregulated genes following treatment with 250 nM NICE-01 versus binders; genes in red are IRF1 ChIP-seq targets. (b) Hallmark preranked gene set enrichment analysis of cells treated with NICE-01 versus binders. Top ranked positively enriched gene sets are shown.

Discussion

The regulated localization of proteins into different cellular compartments is critical for proper cellular function. Here we use chemically induced proximity between proteins that natively occupy different compartments to change the localization of the targeted protein.

It was initially unclear whether inducing proximity between a nuclear protein and a cytosolic protein would cause the nuclear import of the cytosolic protein, the export of the nuclear protein, or some equilibrium between the two. We had originally hypothesized, for example, that NPM1c would export BRD4 from the nucleus. In the nucleus, BRD4 makes contact with several large macromolecules such as the mediator complex, a 31-protein complex of proteins that collectively has 26 predicted annotated nuclear localization signals.16 In this case, the transport equilibrium could heavily favor nuclear localization even when bound to an NES-containing protein such as NPM1 due to a sort of NES-NLS voting mechanism. In principle, bifunctional compounds could transport nuclear proteins out of the nucleus if the mechanisms favoring export overcome those favoring import. Indeed, chemically induced proximity with rapamycin has been used to deplete FRB-fused nuclear proteins from the nucleus through co-export with FKBP-fused ribosomal subunits, which display massive flux out of the nucleus during ribosome maturation.33 Detailing bifunctional molecules that can localize proteins in the various compartments in the cell is an important area for future research.

We also observed that the stoichiometry of ternary complex components appears to impact nuclear import significantly. When relying on the relatively low levels of endogenous BRD4 for the import of a highly expressed construct, we observed weaker nuclear enrichment of the target protein. Moreover, cells with high relative NPM1c expression compared with BRD4 were less likely to display NPM1c import. These findings led us to believe compound-induced nuclear import could occur for two endogenously expressed proteins when their expression levels are similar or when the nuclear-localized protein is in greater abundance. They also imply that if one uses a lineage- or cancer-cell-specific nuclear protein as a “carrier”, one can restrict the target population of cells where the cargo is being imported. These stoichiometry restrictions likely apply to all induced-proximity systems requiring interactions over long time scales such as molecular glues. For rapamycin, the abundance of the presenter (FKBP12, 2.9 × 106 copies/cell in 293T; OpenCell34) is in far excess of the target (mTOR, 6.9 × 104 copies/cell in 293T; OpenCell34). For systems needing only transient interactions, such as bifunctional molecules inducing post-translational modifications, this may be less relevant.

To our knowledge, this is also the first observation of significant single-cell heterogeneity in the phenotypic response to bifunctional compounds. Stochastic variation in the abundance of proteins targeted by chemotherapeutics has previously been shown to underlie single-cell phenotypic heterogeneity.35 This observation raises the possibility that similar heterogeneity may be widespread and possibly therapeutically important for several emerging therapeutic classes of bifunctional compounds.

Because protein localization controls diverse biological phenomena, the ability to pharmacologically perturb localization may offer control over such biological phenomena. We believe this has important therapeutic implications. For instance, NPM1c is an AML driver that induces dominant negative NPM1 cytosolic localization.19,21 We attempted to correct this directly by showing that it can be relocalized to the nucleus with a bifunctional small molecule. However, one may prefer relocalization to the nucleolus, where wild-type NPM1 normally resides; this may require a nucleolar carrier. Second, relocalization may not be sufficient to yield a phenotype, as evidenced by the lack of p53 co-import. In other cases, we hypothesize that future therapeutics may divert oncogenic proteins from their normal substrates. We showed that oncogenic PIK3CA mutant protein can be diverted from the plasma membrane, where it normally interacts with phosphoinositols, into the nucleus. Future research should focus on future applications and functional consequences of such relocalizations.

One notable observation during our experiments, especially with NPM1, was the change in the composition of cellular condensates. We noted the relocalization of cytosolic and nucleolar NPM1c to BRD4 condensates. Therefore, chemical inducers of proximity may represent a modular strategy to alter the condensate composition. BRD4 condensates are especially interesting due to their role in transcription.36 We show that the import of a cytosolic transcription factor with endogenous BET containing proteins can strongly induce transcription. This is consistent with results from previous studies using bifunctionals to recruit BRD4 to targeted sites.3739 Chemical induction of the IRF1 transcription factor as we have demonstrated in this study may therapeutically modulate cell state or cancer–immune interactions.4042 While we have focused on BRD4 as a target of NICE-01, it is worth noting the ability of (+)-JQ1 to bind to other members of the BET bromodomain family of proteins and the fact that these proteins may be mediating some of the nuclear import and transcriptional effects we observe in this study.

Overall, these data demonstrate that protein localization can be modulated in human cells by bifunctional molecules that bind proteins in different cellular compartments. The practical application of this approach, proven here using binders to FKBPF36V and BRD4, will require the identification and optimization of protein-specific binding molecules. We anticipate that future bifunctional relocalizing molecules will have important applications in scientific discovery and human therapeutics.

Acknowledgments

We dedicate this work to Peter J. Belshaw (1967–2021) whose doctoral studies both pioneered the powerful “bump-hole” concept and advanced the early phase “bifunctional compounds”. This work was supported by the Svenson Fellowship (W.J.G.), Lubin Scholar Award (WJ.G.), NCI’s Cancer Target Discovery and Development (CTD2) Network (Grant U01CA217848, S.L.S), NCI Grant R35CA197568 (M.M.), and an American Cancer Society Research Professorship (M.M.).

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/jacs.3c06179.

  • Detailed methods for all biological experiments, computational analyses (including RNA sequencing), chemical syntheses, full characterization data (including HR-MS and NMR spectra), and Figures S1–S4; a detailed discussion of the kinetic analysis used in the paper (PDF)

  • Movie S1 (MOV)

Author Contributions

# W.J.G. and A.S. contributed equally to this work.

Author Contributions

M.M. and S.L.S. contributed equally and jointly supervised this work.

The authors declare the following competing financial interest(s): W.J.G. reports equity in Ampressa therapeutics; is on the scientific advisory board (SAB), and has received consulting fees from Esperion therapeutics, consulting fees from Belharra therapeutics, Boston Clinical Research Institute, Faze Medicines, ImmPACT-Bio, and nference. A.C. is a founder and SAB member of Photys therapeutics. M.M. reports consultant/advisory board/equity for DelveBio, Interline and Isabl; research funding from Janssen and Bayer Pharmaceuticals; patents licensed to LabCorp and Bayer. S.L.S. is a shareholder and serves on the Board of Directors of Kojin Therapeutics; is a shareholder and advises Jnana Therapeutics, Kisbee Therapeutics, Belharra Therapeutics, Magnet Biomedicine, Exo Therapeutics, Eikonizo Therapeutics, and Replay Bio; advises Vividion Therapeutics, Eisai Co., Ltd., Ono Pharma Foundation, F-Prime Capital Partners, and is a Novartis Faculty Scholar. All COI are outside the submitted work and all other authors report no COI.

Supplementary Material

ja3c06179_si_001.pdf (1.7MB, pdf)
ja3c06179_si_002.mov (1.1MB, mov)

References

  1. Kalderon D.; Roberts B. L.; Richardson W. D.; Smith A. E. A Short Amino Acid Sequence Able to Specify Nuclear Location. Cell 1984, 39 (3), 499–509. 10.1016/0092-8674(84)90457-4. [DOI] [PubMed] [Google Scholar]
  2. Wang R.; Brattain M. G. The Maximal Size of Protein to Diffuse through the Nuclear Pore Is Larger than 60 kDa. FEBS Lett. 2007, 581 (17), 3164–3170. 10.1016/j.febslet.2007.05.082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Banani S. F.; Lee H. O.; Hyman A. A.; Rosen M. K. Biomolecular Condensates: Organizers of Cellular Biochemistry. Nat. Rev. Mol. Cell Biol. 2017, 18 (5), 285–298. 10.1038/nrm.2017.7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Jiang X.; Wang X. Cytochrome C-Mediated Apoptosis. Annu. Rev. Biochem. 2004, 73, 87–106. 10.1146/annurev.biochem.73.011303.073706. [DOI] [PubMed] [Google Scholar]
  5. Ivanov P.; Kedersha N.; Anderson P. Stress Granules and Processing Bodies in Translational Control. Cold Spring Harb. Perspect. Biol. 2019, 11 (5), 1–18. 10.1101/cshperspect.a032813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Van Der Heide L. P.; Hoekman M. F. M.; Smidt M. P. The Ins and Outs of FoxO Shuttling: Mechanisms of FoxO Translocation and Transcriptional Regulation. Biochem. J. 2004, 380 (2), 297–309. 10.1042/bj20040167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Meyer T.; Vinkemeier U. STAT Nuclear Translocation: Potential for Pharmacological Intervention. Expert Opin. Ther. Targets 2007, 11 (10), 1355–1365. 10.1517/14728222.11.10.1355. [DOI] [PubMed] [Google Scholar]
  8. Sever R.; Glass C. K. Signaling by Nuclear Receptors. Cold Spring Harb. Perspect. Biol. 2013, 5 (3), a016709. 10.1101/cshperspect.a016709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Belshaw P. J.; Ho S. N.; Crabtree G. R.; Schreiber S. L. Controlling Protein Association and Subcellular Localization with a Synthetic Ligand That Induces Heterodimerization of Proteins. Proc. Natl. Acad. Sci. U. S. A. 1996, 93 (10), 4604–4607. 10.1073/pnas.93.10.4604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Winter G. E.; Buckley D. L.; Paulk J.; Roberts J. M.; Souza A.; Dhe-Paganon S.; Bradner J. E. Phthalimide Conjugation as a Strategy for in Vivo Target Protein Degradation. Science 2015, 348 (6241), 1376–1381. 10.1126/science.aab1433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Koide K.; Finkelstein J. M.; Ball Z.; Verdine G. L. A Synthetic Library of Cell-Permeable Molecules. J. Am. Chem. Soc. 2001, 123 (3), 398–408. 10.1021/ja0023377. [DOI] [PubMed] [Google Scholar]
  12. Zorba A.; Nguyen C.; Xu Y.; Starr J.; Borzilleri K.; Smith J.; Zhu H.; Farley K. A.; Ding W.; Schiemer J.; Feng X.; Chang J. S.; Uccello D. P.; Young J. A.; Garcia-Irrizary C. N.; Czabaniuk L.; Schuff B.; Oliver R.; Montgomery J.; Hayward M. M.; Coe J.; Chen J.; Niosi M.; Luthra S.; Shah J. C.; El-Kattan A.; Qiu X.; West G. M.; Noe M. C.; Shanmugasundaram V.; Gilbert A. M.; Brown M. F.; Calabrese M. F. Delineating the Role of Cooperativity in the Design of Potent PROTACs for BTK. Proc. Natl. Acad. Sci. U. S. A. 2018, 115 (31), E7292. 10.1073/pnas.1803662115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Douglass E. F. Jr.; Miller C. J.; Sparer G.; Shapiro H.; Spiegel D. A. A Comprehensive Mathematical Model for Three-Body Binding Equilibria. J. Am. Chem. Soc. 2013, 135 (16), 6092–6099. 10.1021/ja311795d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Raina K.; Forbes C. D.; Stronk R.; Rappi J. P.; Eastman K. J.; Gerritz S. W.; Yu X.; Li H.; Bhardwaj A.; Forgione M.; Hundt A.; King M. P.; Posner Z. M.; Denny A.; McGovern A.; Puleo D. E.; Garvin E.; Chenard R.; Zaware N.; Mousseau J. J.; Macaluso J.; Martin M.; Bassoli K.; Jones K.; Garcia M.; Howard K.; Smith L. M.; Chen J. M.; De Leon C. A.; Hines J.; Kayser-Bricker K. J.; Crews C. M. Regulated Induced Proximity Targeting Chimeras (RIPTACs): A Novel Heterobifunctional Small Molecule Therapeutic Strategy for Killing Cancer Cells Selectively. bioRxiv 2023, (accessed 2023-05-01) 10.1101/2023.01.01.522436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Kolos J. M.; Voll A. M.; Bauder M.; Hausch F. FKBP Ligands-Where We Are and Where to Go?. Front. Pharmacol. 2018, 9, 1425. 10.3389/fphar.2018.01425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Tessier T. M.; MacNeil K. M.; Mymryk J. S. Piggybacking on Classical Import and Other Non-Classical Mechanisms of Nuclear Import Appear Highly Prevalent within the Human Proteome. Biology 2020, 9 (8), 188. 10.3390/biology9080188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Mohr D.; Frey S.; Fischer T.; Güttler T.; Görlich D. Characterisation of the Passive Permeability Barrier of Nuclear Pore Complexes. EMBO J. 2009, 28 (17), 2541–2553. 10.1038/emboj.2009.200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Falini B.; Brunetti L.; Sportoletti P.; Martelli M. P. NPM1-Mutated Acute Myeloid Leukemia: From Bench to Bedside. Blood 2020, 136 (15), 1707–1721. 10.1182/blood.2019004226. [DOI] [PubMed] [Google Scholar]
  19. Cancer Genome Atlas Research Network.; Ley T. J.; Miller C.; Ding L.; Raphael B. J.; Mungall A. J.; Robertson A. G.; Hoadley K.; Triche T. J. Jr.; Laird P. W.; Baty J. D.; Fulton L. L.; Fulton R.; Heath S. E.; Kalicki-Veizer J.; Kandoth C.; Klco J. M.; Koboldt D. C.; Kanchi K.-L.; Kulkarni S.; Lamprecht T. L.; Larson D. E.; Lin L.; Lu C.; McLellan M. D.; McMichael J. F.; Payton J.; Schmidt H.; Spencer D. H.; Tomasson M. H.; Wallis J. W.; Wartman L. D.; Watson M. A.; Welch J.; Wendl M. C.; Ally A.; Balasundaram M.; Birol I.; Butterfield Y.; Chiu R.; Chu A.; Chuah E.; Chun H.-J.; Corbett R.; Dhalla N.; Guin R.; He A.; Hirst C.; Hirst M.; Holt R. A.; Jones S.; Karsan A.; Lee D.; Li H. I.; Marra M. A.; Mayo M.; Moore R. A.; Mungall K.; Parker J.; Pleasance E.; Plettner P.; Schein J.; Stoll D.; Swanson L.; Tam A.; Thiessen N.; Varhol R.; Wye N.; Zhao Y.; Gabriel S.; Getz G.; Sougnez C.; Zou L.; Leiserson M. D. M.; Vandin F.; Wu H.-T.; Applebaum F.; Baylin S. B.; Akbani R.; Broom B. M.; Chen K.; Motter T. C.; Nguyen K.; Weinstein J. N.; Zhang N.; Ferguson M. L.; Adams C.; Black A.; Bowen J.; Gastier-Foster J.; Grossman T.; Lichtenberg T.; Wise L.; Davidsen T.; Demchok J. A.; Shaw K. R. M.; Sheth M.; Sofia H. J.; Yang L.; Downing J. R.; Eley G. Genomic and Epigenomic Landscapes of Adult de Novo Acute Myeloid Leukemia. N. Engl. J. Med. 2013, 368 (22), 2059–2074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Falini B.; Bolli N.; Shan J.; Martelli M. P.; Liso A.; Pucciarini A.; Bigerna B.; Pasqualucci L.; Mannucci R.; Rosati R.; Gorello P.; Diverio D.; Roti G.; Tiacci E.; Cazzaniga G.; Biondi A.; Schnittger S.; Haferlach T.; Hiddemann W.; Martelli M. F.; Gu W.; Mecucci C.; Nicoletti I. Both Carboxy-Terminus NES Motif and Mutated Tryptophan(s) Are Crucial for Aberrant Nuclear Export of Nucleophosmin Leukemic Mutants in NPMc+ AML. Blood 2006, 107 (11), 4514–4523. 10.1182/blood-2005-11-4745. [DOI] [PubMed] [Google Scholar]
  21. Bolli N.; Nicoletti I.; De Marco M. F.; Bigerna B.; Pucciarini A.; Mannucci R.; Martelli M. P.; Liso A.; Mecucci C.; Fabbiano F.; Martelli M. F.; Henderson B. R.; Falini B. Born to Be Exported: COOH-Terminal Nuclear Export Signals of Different Strength Ensure Cytoplasmic Accumulation of Nucleophosmin Leukemic Mutants. Cancer Res. 2007, 67 (13), 6230–6237. 10.1158/0008-5472.CAN-07-0273. [DOI] [PubMed] [Google Scholar]
  22. Brunetti L.; Gundry M. C.; Sorcini D.; Guzman A. G.; Huang Y.-H.; Ramabadran R.; Gionfriddo I.; Mezzasoma F.; Milano F.; Nabet B.; Buckley D. L.; Kornblau S. M.; Lin C. Y.; Sportoletti P.; Martelli M. P.; Falini B.; Goodell M. A. Mutant NPM1Maintains the Leukemic State through HOX Expression. Cancer Cell 2018, 34 (3), 499. 10.1016/j.ccell.2018.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Holoubek A.; Strachotová D.; Otevřelová P.; Röselová P.; Heřman P.; Brodská B. AML-Related NPM Mutations Drive p53 Delocalization into the Cytoplasm with Possible Impact on p53-Dependent Stress Response. Cancers 2021, 13 (13), 3266. 10.3390/cancers13133266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Barretina J.; Caponigro G.; Stransky N.; Venkatesan K.; Margolin A. A.; Kim S.; Wilson C. J.; Lehár J.; Kryukov G. V.; Sonkin D.; Reddy A.; Liu M.; Murray L.; Berger M. F.; Monahan J. E.; Morais P.; Meltzer J.; Korejwa A.; Jané-Valbuena J.; Mapa F. A.; Thibault J.; Bric-Furlong E.; Raman P.; Shipway A.; Engels I. H.; Cheng J.; Yu G. K.; Yu J.; Aspesi P. Jr.; de Silva M.; Jagtap K.; Jones M. D.; Wang L.; Hatton C.; Palescandolo E.; Gupta S.; Mahan S.; Sougnez C.; Onofrio R. C.; Liefeld T.; MacConaill L.; Winckler W.; Reich M.; Li N.; Mesirov J. P.; Gabriel S. B.; Getz G.; Ardlie K.; Chan V.; Myer V. E.; Weber B. L.; Porter J.; Warmuth M.; Finan P.; Harris J. L.; Meyerson M.; Golub T. R.; Morrissey M. P.; Sellers W. R.; Schlegel R.; Garraway L. A. The Cancer Cell Line Encyclopedia Enables Predictive Modelling of Anticancer Drug Sensitivity. Nature 2012, 483 (7391), 603–607. 10.1038/nature11003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Tyner J. W.; Tognon C. E.; Bottomly D.; Wilmot B.; Kurtz S. E.; Savage S. L.; Long N.; Schultz A. R.; Traer E.; Abel M.; Agarwal A.; Blucher A.; Borate U.; Bryant J.; Burke R.; Carlos A.; Carpenter R.; Carroll J.; Chang B. H.; Coblentz C.; d’Almeida A.; Cook R.; Danilov A.; Dao K.-H. T.; Degnin M.; Devine D.; Dibb J.; Edwards D. K. 5th; Eide C. A.; English I.; Glover J.; Henson R.; Ho H.; Jemal A.; Johnson K.; Johnson R.; Junio B.; Kaempf A.; Leonard J.; Lin C.; Liu S. Q.; Lo P.; Loriaux M. M.; Luty S.; Macey T.; MacManiman J.; Martinez J.; Mori M.; Nelson D.; Nichols C.; Peters J.; Ramsdill J.; Rofelty A.; Schuff R.; Searles R.; Segerdell E.; Smith R. L.; Spurgeon S. E.; Sweeney T.; Thapa A.; Visser C.; Wagner J.; Watanabe-Smith K.; Werth K.; Wolf J.; White L.; Yates A.; Zhang H.; Cogle C. R.; Collins R. H.; Connolly D. C.; Deininger M. W.; Drusbosky L.; Hourigan C. S.; Jordan C. T.; Kropf P.; Lin T. L.; Martinez M. E.; Medeiros B. C.; Pallapati R. R.; Pollyea D. A.; Swords R. T.; Watts J. M.; Weir S. J.; Wiest D. L.; Winters R. M.; McWeeney S. K.; Druker B. J. Functional Genomic Landscape of Acute Myeloid Leukaemia. Nature 2018, 562 (7728), 526–531. 10.1038/s41586-018-0623-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Ferrigno P.; Silver P. A. Regulated Nuclear Localization of Stress-Responsive Factors: How the Nuclear Trafficking of Protein Kinases and Transcription Factors Contributes to Cell Survival. Oncogene 1999, 18 (45), 6129–6134. 10.1038/sj.onc.1203132. [DOI] [PubMed] [Google Scholar]
  27. Lin R.; Heylbroeck C.; Pitha P. M.; Hiscott J. Virus-Dependent Phosphorylation of the IRF-3 Transcription Factor Regulates Nuclear Translocation, Transactivation Potential, and Proteasome-Mediated Degradation. Mol. Cell. Biol. 1998, 18 (5), 2986–2996. 10.1128/MCB.18.5.2986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Forero A.; Ozarkar S.; Li H.; Lee C. H.; Hemann E. A.; Nadjsombati M. S.; Hendricks M. R.; So L.; Green R.; Roy C. N.; Sarkar S. N.; von Moltke J.; Anderson S. K.; Gale M. Jr.; Savan R. Differential Activation of the Transcription Factor IRF1 Underlies the Distinct Immune Responses Elicited by Type I and Type III Interferons. Immunity 2019, 51 (3), 451–464. 10.1016/j.immuni.2019.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Tanaka N.; Kawakami T.; Taniguchi T. Recognition DNA Sequences of Interferon Regulatory Factor 1 (IRF-1) and IRF-2, Regulators of Cell Growth and the Interferon System. Mol. Cell. Biol. 1993, 13 (8), 4531–4538. 10.1128/mcb.13.8.4531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Kaelin W. G. Jr. Common Pitfalls in Preclinical Cancer Target Validation. Nat. Rev. Cancer 2017, 17 (7), 425–440. [DOI] [PubMed] [Google Scholar]
  31. Rettino A.; Clarke N. M. Genome-Wide Identification of IRF1 Binding Sites Reveals Extensive Occupancy at Cell Death Associated Genes. J. Carcinog Mutagen 2013, 1–10. 10.4172/2157-2518.S6-009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Subramanian A.; Tamayo P.; Mootha V. K.; Mukherjee S.; Ebert B. L.; Gillette M. A.; Paulovich A.; Pomeroy S. L.; Golub T. R.; Lander E. S.; Mesirov J. P. Gene Set Enrichment Analysis: A Knowledge-Based Approach for Interpreting Genome-Wide Expression Profiles. Proc. Natl. Acad. Sci. U. S. A. 2005, 102 (43), 15545–15550. 10.1073/pnas.0506580102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Haruki H.; Nishikawa J.; Laemmli U. K. The Anchor-Away Technique: Rapid, Conditional Establishment of Yeast Mutant Phenotypes. Mol. Cell 2008, 31 (6), 925–932. 10.1016/j.molcel.2008.07.020. [DOI] [PubMed] [Google Scholar]
  34. Cho N. H.; Cheveralls K. C.; Brunner A.-D.; Kim K.; Michaelis A. C.; Raghavan P.; Kobayashi H.; Savy L.; Li J. Y.; Canaj H.; Kim J. Y. S.; Stewart E. M.; Gnann C.; McCarthy F.; Cabrera J. P.; Brunetti R. M.; Chhun B. B.; Dingle G.; Hein M. Y.; Huang B.; Mehta S. B.; Weissman J. S.; Gómez-Sjöberg R.; Itzhak D. N.; Royer L. A.; Mann M.; Leonetti M. D. OpenCell: Endogenous Tagging for the Cartography of Human Cellular Organization. Science 2022, 375 (6585), eabi6983 10.1126/science.abi6983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Spencer S. L.; Gaudet S.; Albeck J. G.; Burke J. M.; Sorger P. K. Non-Genetic Origins of Cell-to-Cell Variability in TRAIL-Induced Apoptosis. Nature 2009, 459 (7245), 428–432. 10.1038/nature08012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Sabari B. R.; Dall’Agnese A.; Boija A.; Klein I. A.; Coffey E. L.; Shrinivas K.; Abraham B. J.; Hannett N. M.; Zamudio A. V.; Manteiga J. C.; Li C. H.; Guo Y. E.; Day D. S.; Schuijers J.; Vasile E.; Malik S.; Hnisz D.; Lee T. I.; Cisse I. I.; Roeder R. G.; Sharp P. A.; Chakraborty A. K.; Young R. A. Coactivator Condensation at Super-Enhancers Links Phase Separation and Gene Control. Science 2018, 361 (6400), 1–11. 10.1126/science.aar3958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Erwin G. S.; Grieshop M. P.; Ali A.; Qi J.; Lawlor M.; Kumar D.; Ahmad I.; McNally A.; Teider N.; Worringer K.; Sivasankaran R.; Syed D. N.; Eguchi A.; Ashraf M.; Jeffery J.; Xu M.; Park P. M. C.; Mukhtar H.; Srivastava A. K.; Faruq M.; Bradner J. E.; Ansari A. Z. Synthetic Transcription Elongation Factors License Transcription across Repressive Chromatin. Science 2017, 358 (6370), 1617–1622. 10.1126/science.aan6414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Gourisankar S.; Krokhotin A.; Ji W.; Liu X.; Chang C.; Kim S. H.; Li Z.; Wenderski W.; Simanauskaite J. M.; Zhang T.; Gray N. S.; Crabtree G. R. Rewiring Cancer Drivers to Activate Apoptosis. bioRxiv. 2022, (accessed 2023-01-05) 10.1101/2022.12.04.517548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Chiarella A. M.; Butler K. V.; Gryder B. E.; Lu D.; Wang T. A.; Yu X.; Pomella S.; Khan J.; Jin J.; Hathaway N. A. Dose-Dependent Activation of Gene Expression Is Achieved Using CRISPR and Small Molecules That Recruit Endogenous Chromatin Machinery. Nat. Biotechnol. 2020, 38 (1), 50–55. 10.1038/s41587-019-0296-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Smithy J. W.; Moore L. M.; Pelekanou V.; Rehman J.; Gaule P.; Wong P. F.; Neumeister V. M.; Sznol M.; Kluger H. M.; Rimm D. L. Nuclear IRF-1 Expression as a Mechanism to Assess “Capability” to Express PD-L1 and Response to PD-1 Therapy in Metastatic Melanoma. J. Immunother Cancer 2017, 5, 25. 10.1186/s40425-017-0229-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Genome-Wide in Vivo Screen Identifies Novel Host Regulators of Metastatic Colonization. Nature 2017, 541 (7636), 233–236. 10.1038/nature20792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Meyer-Schaller N.; Tiede S.; Ivanek R.; Diepenbruck M.; Christofori G. A Dual Role of Irf1 in Maintaining Epithelial Identity but Also Enabling EMT and Metastasis Formation of Breast Cancer Cells. Oncogene 2020, 39 (24), 4728–4740. 10.1038/s41388-020-1326-0. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ja3c06179_si_001.pdf (1.7MB, pdf)
ja3c06179_si_002.mov (1.1MB, mov)

Articles from Journal of the American Chemical Society are provided here courtesy of American Chemical Society

RESOURCES