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. Author manuscript; available in PMC: 2021 Apr 17.
Published in final edited form as: ACS Chem Biol. 2020 Apr 6;15(4):952–961. doi: 10.1021/acschembio.9b00965

Bisubstrate-Type Chemical Probes Identify GRP94 as a Potential Target of Cytosine-Containing Adenosine Analogs

Dany Pechalrieu 1, Fanny Assemat 2, Ludovic Halby 3, Marlene Marcellin 4, Pengrong Yan 5, Karima Chaoui 6, Sahil Sharma 7, Gabriela Chiosis 8, Odile Burlet-Schiltz 9, Paola B Arimondo 10, Marie Lopez 11
PMCID: PMC7336334  NIHMSID: NIHMS1593591  PMID: 32191434

Abstract

We synthesized affinity-based chemical probes of cytosine–adenosine bisubstrate analogs and identified several potential targets by proteomic analysis. The validation of the proteomic analysis identified the chemical probe as a specific inhibitor of glucose-regulated protein 94 (GRP94), a potential drug target for several types of cancers. Therefore, as a result of the use of bisubstrate-type chemical probes and a chemical-biology methodology, this work opens the way to the development of a new family of GRP94 inhibitors that could potentially be of therapeutic interest.

Graphical Abstract

graphic file with name nihms-1593591-f0001.jpg


Bisubstrate-type enzyme inhibitors consist of the association of two distinct substrate derivatives of an enzyme within the same molecule. In a previous work, we synthesized a library of molecules containing the adenosine motif, present in the SAM (S-adenosyl-L-methionine) cofactor of methyltransferases, bound to cytosine analogs to target DNA methyltransferases (DNMTs).1 Surprisingly, this class of compounds appeared to target protein (i.e., histone) arginine methyltransferases (PRMTs).2 Here, in order to better understand the mode of action of these bisubstrate-type enzyme inhibitors, we used both conjugates 1 and 2 (Figure 1), inactive against DNMT, PRMT, and histone-lysine N-methyltransferases (KHMT), as a starting point to synthesize chemical probes in order to identify their cellular target using an affinity-based protein profiling (ABPP) approach.3,4 In this strategy, appropriate chemical probes are used to pull down the protein targets they bind. We chose to incorporate a photoreactive moiety to ensure a covalent cross-link between the chemical probe and protein target. The chemical probes consist of (i) an affinity moiety (e.g., inhibitor) to bind to the target protein, (ii) a photoreactive group to trap the complexes in the cells upon irradiation, and (iii) a reactive entity to label and purify the complexes. The key feature consists of using “click chemistry” to label the chemical probe with a fluorescent or affinity tag. We used copper(I)-catalyzed azide–alkyne cycloaddition (CuAAC) as a “click reaction” to tag our probes with biotin and purify the associated proteins.5

Figure 1.

Figure 1.

Structure of compounds 13 with the adenosine motif (red) linked to the 5-position of the cytosine analogue (blue). Structure of the chemical probes 4 and 5 containing the probe reactive scaffold (green).

To this aim, we designed a chemical probe derived from the adenosine–cytosine scaffold common to compounds 1 and 2 bearing a benzophenone and an alkyne moiety (compound 4, Figure 1) and an inactive probe containing the probe reactive scaffold (in green) coupled to a Boc protecting group (compound 5, Figure 1). Five cancer cell lines were treated with the chemical probe, followed by UV irradiation of the cells to initiate cross-linking, and a click reaction was then carried out on the cellular extracts to visualize and pull down the proteins and analyze them by mass spectrometry. A clear protein pattern was observed, and the proteomic analysis results identified glucose-regulated protein 94 (GRP94), a chaperone protein, as a potential target. This is not surprising since the adenosine motif is present in the ATP (adenosine triphosphate) cofactor of GRP94. We then validated GRP94 as a target, thus identifying the adenosine-substituted cytosine scaffold as a starting point for novel inhibitors of this family of molecular chaperones.

RESULTS

In our quest for transition state analogs of DNMTs, we synthesized a chemical library of adenosine–cytosine conjugates. Two conjugates (compounds 1 and 2), inactive against DNMT, KHMTs, and PRMTs (Supporting Information Graph SI-1), are depicted in Figure 1 together with the intermediate 3, the corresponding chemical probe 4, and the probe 5 as a control.

Chemical Synthesis

Synthesis of the adenosine–cytosine analogues 1–3 (Scheme 1) started from the ethyl cytosine-5-carboxylate prepared according to the reported literature.6,7 The ethyl cytosine-5-carboxylate was then N-alkylated with MOM, BOM, or Boc-aminoethyl groups to afford compounds 6–8, respectively. The ester group was then hydrolyzed under basic conditions to afford the carboxycytosine derivatives 9–11. The carboxylic acids 9–11 were coupled to 2′,3′-O-isopropylidene-5′-deoxy-5′-aminomethyldenosine8 to provide the amide derivatives 12–14 and the target compounds 1–3 after deprotection.

Scheme 1. Synthesis Scheme of the Adenosine-Cytosine Derivatives 1–3a.

Scheme 1.

a(a) MOMCl or BOMCl, Boc-aminoethyl bromide, K2CO3, DMF, RT, 18 h. (b) NaOH, MeOH/H2O, RT, 12 h. (c) 2′,3′-O-isopropylidene-5′-deoxy-5′-aminomethyladenosine, HATU, DIPEA, DMF, RT, 2 h. (d) TFA, H2O, RT, 1 h.

The synthesis of chemical probe 4 is presented in Scheme 2. First, monofunctionalization of the diamino-benzophenone was achieved using HATU as a coupling reagent and 5-hexynoic acid to yield compound 15. A small linker was then added on the second primary amine of the benzophenone following lactone ring opening with succinic anhydride, which afforded disubstituted benzophenone 16. The last step involved the coupling of the adenosine-based compound 3 with the benzophenone derivative 16 using HATU as a coupling reagent.

Scheme 2. Synthetic Scheme for Chemical Probe 4 (Upper Box) and Control Probe 5 (Bottom Box)a.

Scheme 2.

(a) 5-Hexynoic acid, HATU, DIPEA, DMA, RT, 2 h. (b) Succinic anhydride, dioxane, 80 °C, 4 h. (c) HATU, DIPEA, DMF, RT, 16 h. (d) Di-tert-butyl dicarbonate, NaOH, H2O, dioxane, RT, 16 h. (e) HATU, DIPEA, DMA, RT, 16 h.

The control probe 5 was synthesized using the alkynylated benzophenone 15 and the Boc-protected 5-aminopentanoic acid 17 (Scheme 2). The Boc group in control probe 5 was kept for in-cell experiments in order to enable cell permeability.

ABPP Experiments

For the gel-based experiments, breast cancer MCF-7 cells were first treated with increasing concentrations of the probe 4. This was followed by UV irradiation to allow covalent binding of the benzophenone moiety of 4 to the surrounding proteins, leading to an irreversible binding of the probe to the potential protein targets. After cell lysis, the probe was then reacted with TAMRA-biotin-azide through CuAAC, separated by SDS-PAGE, and visualized by in-gel fluorescence scanning to observe the proteins bound to the probe (Figure 2A and B). We observed an increase in the labeled protein level from 1 to 50 μM of 4 with a highly intense band around 100 kDa. Total protein staining with SYPRO Ruby was used as a loading control (Figure 2B and C, lower panel).

Figure 2.

Figure 2.

(A) Representation of the general strategy for target identification by using a chemical probe. (B, C) TAMRA fluorescence (upper gels) and SYPRO Ruby stained total protein (bottom gels) profiles of MCF-7 cells treated with a concentration range of probe 4 (B) or with 10 μM of 4 with and without UV irradiation (left) or after competition experiments with 100 μM of competitors 1 and 2 (right; C).

A 10 μM probe concentration was chosen for the following experiments because the best ratio between fluorescence intensity of the band at 100 kDa over the background was obtained at this concentration when compared to 25 or 50 μM. As expected, in the absence of irradiation, only a weak nonspecific fluorescence was detected with no intense band at 100 kDa (Figure 2C, left). To confirm that the labeling is a consequence of recognition of the bisubstrate moiety, we performed competition experiments by adding 100 μM of compound 1 or 2 to the MCF-7 cell culture prior to treatment with the chemical probe 4. Under these conditions, labeling of probe 4 was completely abolished by competition with the free compounds 1 and 2 (Figure 2C, right), which confirms that labeling is due to the affinity of the bisubstrate moiety for this target.

Considering these promising results in MCF-7 cells, other cancer cell lines, i.e., leukemia cell lines K-562, KG-1, and MOLM-13 and melanoma cell line WM-266–4, were likewise treated in triplicate with probe 4 (Figure 3). Similar to that observed in the MCF-7 cell line, a band at 100 kDa was strongly labeled in each of these cell lines. Additionally, other significant bands were observed at about 75 and 50 kDa for K-562, KG-1, and WM-266–4 and about 50 and 37 kDa for K-562, KG-1, and MOLM-13. DMSO and probe 5 controls were also analyzed by SDS-PAGE, and the absence of fluorescent labeling was confirmed under these conditions (two examples are shown in Figure 3 right panels). As previously, total protein staining with SYPRO Ruby was used as a loading control (Figure 3 lower panel).

Figure 3.

Figure 3.

TAMRA fluorescence (upper gels) and total protein staining with SYPRO Ruby stain (bottom gels) after affinity-based profiling in K-562, KG-1, MOLM-13, and WM-266–4 cells upon 1 h treatment with 10 μM of probe 4, control probe 5, or 1% DMSO in triplicate.

Encouraged by these gel-based experiments, we next performed affinity-based pull-down experiments in order to identify the protein targets of the transition state analogue probe 4. The experiments were performed in three biological replicates in MCF-7, K-562, KG-1, MOLM-13, and WM-266–4 cell lines. The active chemical probe 4 was compared to the inactive Boc probe 5.

After probe treatment, UV irradiation, and CuAAC functionalization of the probe using the trifunctional compound TAMRA-biotin-azide, probe-bound proteins were enriched with avidin beads. After several washings, proteins were trypsin-digested and peptides subjected to LC-MS/MS analysis.

Proteomic Analysis

To identify the potential protein targets, quantitative proteomic analysis was carried out on ABPP samples obtained using chemical probe 4 and control probe 5. The Volcano plot reporting the comparison results is presented in Figure 4 for the KG-1 cell line and in the Supporting Information for the other cell lines, i.e., MCF-7, K-562, MOLM-13, and WM-266–4 cell lines (Graphs SI-2 to SI-5). For the KG-1 cell line, about 540 proteins were identified. However, as expected, only 24 proteins were found statistically over-represented (i.e., log difference > 1 or ratio > 2 and −log 10 p value > 1.33) when the active probe 4 was compared to the inactive probe 5 containing only the Boc moiety (Figure 4 and Table SI-1).

Figure 4.

Figure 4.

Volcano plot of the proteomic data obtained following pull-down ABPP experiments with active chemical probe 4 and inactive probe 5 in KG-1 cells. The statistical significance expression level change (p value) is represented as a function of the protein ratio between control and treated samples. Orange dots represent the proteins significantly over-represented in the treated sample.

For the other cell lines, 165, 112, 401, and 213 proteins were identified with 26, 6, 40, and 19 statistically over-represented in MCF-7, K-562, MOLM-13, and WM-266–4 cell lines, respectively (Graphs SI-2 to SI-5 and Tables SI-2 to SI-5)

The different data sets from the five cell lines analyzed were then compared. A Venn diagram analysis revealed that several proteins were significantly enriched in at least three cell lines (Figure 5A and B, Tables SI-1 to SI-5).

Figure 5.

Figure 5.

Significantly over-represented proteins with chemical probe 4. (A) Venn diagram showing the common and unique proteins statistically over-represented with the active probe 4 compared to the inactive probe 5. (B) Table of commonly enriched proteins represented by green highlight in different cell lines. (C) MS/MS counts and ratio values for GRP94 in KG-1, MCF-7, K-562, MOLM-13, and WM-266–4 cell lines. *Ratio values are reported as a mean of the three replicates.

Among these proteins, HSP90B1, also known as GRP94 (Mw = 92 kDa), is the only protein found as significantly enriched in all cell lines with high ratios and abundances in probe 4 treated samples compared to the inactive Boc-containing probe 5 (Figure 5A and C). Therefore, GRP94 represents a promising target of our active chemical probe.

Target Validation

To assess the specificity and the binding property of our probe with GRP94, fluorescence polarization competition assays with recombinant GRP94 and HSP90α were performed under conditions of equilibrium binding (Figure 6).9 As controls, PU-H71, which is a pan-HSP90 inhibitor under conditions of equilibrium binding but kinetically selects HSP90 residing in epichaperome networks,1015 and PU-WS13, which is selective for GRP94 over other isoforms of HSP90,1618 were used and showed submicromolar EC50’s, as previously described.18 Interestingly, the EC50 binding of probe 4 is approximately 10 μM for GRP94 and shows no significant binding to HSP90α up to 50 μM, the highest concentration tested. This assay allows us to confirm that our probe binds to GRP94 specifically compared to HSP90α, confirming the proteomic data and gels. We also assessed compounds 1 and 2 from which the chemical probe was derived. Although both compounds 1 and 2 showed minor binding to GRP94 at 50 μM, no significant binding to HSP90α was observed at this concentration. Therefore, the absence of the large benzophenone-containing moiety led to a lower inhibition potency, but the GRP94 selectivity is maintained for compounds 1 and 2.

Figure 6.

Figure 6.

Fluorescence polarization competition assay for GRP94 (left) and HSP90α (right) performed under conditions of equilibrium binding. Binding properties of 4, 1, and 2 were assessed, and PU-H71 and PU-WS13 were included as controls. Data are the mean value of two independent experiments run in triplicate (SDs are shown as error bars).

DISCUSSION

Here, we applied the ABPP strategy using a chemical probe derived from adenosine–cytosine conjugates to identify potential binding proteins. Since compounds 1 and 2 have no activity on DNMT, HMTs, and PRMTs, we were interested in synthesizing a chemical probe from them to use as bait to trap proteins that bind by the APBB strategy. Chemical probe 4 was synthesized, and after incubation with five cancer cell lines, the in-cell UV-cross-linked proteins were labeled following click chemistry with the fluorescent TAMRA for visualization and biotin for affinity purification. The TAMRA label revealed, by SDS PAGE, a clear protein-labeling profile, with a common band around 100 kDa. The proteins cross-linked by probe 4 in the five cancer cell lines were analyzed by quantitative proteomics in comparison to the control probe 5 lacking the affinity moiety and with DMSO. The proteomic data analysis showed that, in all tested cancer cell lines, the ATP-binding molecular chaperone GRP94, of the HSP90 family, was selectively labeled by the chemical probe 4 over the DMSO control and control probe 5. Its detection level was significant, and its molecular weight is consistent with the 100-kDa band observed in SDS-PAGE. Additionally, equilibrative nucleoside transporter SLC29A1 (ENT1), hydroxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit alpha (HADHA), pyruvate carboxylase (PC), and propionyl-CoA carboxylase (PCCA) were also identified by proteomic analysis across at least three cell lines (Figure 5B). SLC29A1 mediates cellular uptake of nucleosides and possesses a high affinity for adenosine, the chemical moiety present in chemical probe 4.19 Its activity is inhibited by anticancer agents (dipyridamole and dilazep),20 and in leukemia, a down regulation of SLC29A1 expression, due to a decrease in H3K27 acetylation, was observed in AraC-resistant cell lines.21 HADHA catalyzes mitochondrial oxidations producing acetyl-CoA from fatty acids and is a component of RNA silencing machinery.22 HADHA expression level is involved in the risk of breast cancer,23 and HADHA has a prognostic value in renal cell carcinoma.24 PC and PCCA are carboxylases of therapeutic interest since the PC is up-regulated in breast cancer and associated with growth and invasion,25 and PCCA dysfunction leads to severe metabolic disorders.26 These carboxylases possess ATP and nucleotide binding sites. Their identification is then compatible with the adenosine–cytosine chemical structure of the probe 4. Despite the interest of these additional targets, GRP94 was selected since its molecular weight is consistent with the 100 kDa in-gel observed band. Therefore, further validation experiments were focused on GRP94, and fluorescence polarization experiments confirmed selective binding of probe 4 for GRP94 compared to HSP90α.

GRP94 (encoded by the HSP90β1 gene), belonging to the heat shock protein 90 (HSP90) family, is an essential chaperone that has ATPase activity enabling the folding of target proteins to their active conformation. HSP90s are very promising clinical targets, and several clinical trials are ongoing.17,27 Contrary to other HSP90 members that are located in the cytoplasm (HSP90α and HSP90β) or the mitochondria (Trap-1), GRP94 resides in the endoplasmic reticulum (ER). GRP94 was shown to be overexpressed in different types of cancers, including breast, colorectal, lung, pancreatic, gastrointestinal cancers, and multiple myeloma.28 The expression of GRP94 is associated with advanced stage, poor survival, and cancer growth and metastasis,2932 and GRP94 was identified as a biomarker of gastrointestinal cancer.33 GRP94 was also shown to be linked with chemoresistance.34,35 All these data provide rationale for the high interest in GRP94 as a therapeutic target for the development of anticancer therapies. However, the selective inhibition of GRP94 is highly complex due to the high conservation of the ATP-binding site. Currently, only a few selective GRP94 inhibitors have been reported,17,36 and none have yet reached clinical evaluation. Thus there is a great interest in identifying new chemical scaffolds as starting points for new inhibitors.

In this work, we used an innovative in-cell ABPP strategy never applied in an HSP90 context. Compared to the other chemical biology methods previously reported to study HSP90 binding properties that used coimmunoprecipitation37 or an on-bead immobilized affinity scaffold,38,39 the method reported here is carried out directly in live cells. Thereby, we identified compound 4 as a GRP94-selective inhibitor over HSP90α. For the GRP94 inhibitor PU-WS13, its selectivity is due to the occupation by the substituted phenyl ring of an allosteric pocket (Figure 7, site 2), which is not present in HSP90α/β.18 On the other hand, PU-H71, a pan-HSP90 inhibitor under conditions of equilibrium binding but kinetically selective for HSP90 residing in epichaperome networks,10 binds to site 1 present in both HSP90 α/β and GRP94. Our compound 4 bears an adenosine moiety (Figure 7), shared by GRP94-selective inhibitor NECA,40 that binds to the ATP binding site. Additionally, NECA was also shown to interact with site 3 of GRP94.40,41 From our results, we showed that the addition of a cytosine substituted with a MOM (compound 1) or BOM (compound 2) group to the adenosine moiety results in a loss of activity. The bulky substituted cytosine might prevent interaction within site 3. However, the cytosine substitution by a large benzophenone-containing linker leads to an active and selective GRP94 inhibitor. Thus, the affinity of compound 4 might be due, in addition to the presence of the adenosine moiety, to the flexible and large benzophenone-containing scaffold that could reach a similar allosteric pocket to that for PU-WS13 (site 2). However, the reasons for the selectivity of 4 are still not clear and will require further investigation.

Figure 7.

Figure 7.

Structures of PU-H71, a pan-HSP90 inhibitor under conditions of equilibrium binding, PU-WS13 and NECA, GRP94-selective inhibitors over HSP90α and HSP90β and compounds 1, 2 and 4, new GRP94-selective inhibitors.

Therefore, in this study using an innovative in-cell ABPP strategy, we identified the adenosine-substituted cytosine analogues as an interesting starting point for further improvement. Crystallographic data could give highly valuable information to improve the potency of our compounds and afford potent and selective GRP94 inhibitors to be used potentially as therapeutic anticancer agents.

METHODS

Chemical Synthesis

All chemicals were purchased from Sigma-Aldrich or Alfa Aesar. PU-H71, PU-WS13, and GM-cy3B were synthesized and characterized as previously reported.10,17,18,42,43

The NMR spectra were recorded on a Bruker Avance II spectrometer equipped with a 13C cryoprobe at 500 MHz for 1H and 125 MHz for 13C. 2D experiments were performed using standard Bruker programs, and atom attribution was performed thanks to 2D correlations. Chemical shifts are given in ppm. Coupling constants J are measured in Hz. Splitting patterns are designed as follows: s, singlet; bs broad singlet; d, doublet; bd, broad doublet; t, triplet; brt, broad triplet; dd, doublet of a doublet; m, multiplet; ddd, doublet of a doublet of a doublet; q, quartet; quint, quintet, sext, sextet.

HRMS-ESI were obtained on a Bruker MicroTOF

Column chromatography was carried out on a Puriflash 430 apparatus (Interchim) equipped with 30 μm porated silica column.

Semi preparative HPLC was performed on an apparatus equipped with a VWR International LaPrep pump P110, a VWR LaPrep P314 Dual l absorbance detector, and EZChrom software. C18 reversed-phase columns (Waters x-bridge, RP-18, 25 × 250 mm, 5 μm) were used for semi preparative HPLC with a binary gradient elution (solvent A, H2O/0.01% TEA; solvent B, CH3CN/0.01% TEA), a flow rate of 20 mL.min−1 and the chromatogram was monitored at 250 and 320 nm.

General Procedure for Synthesis of Compounds 1, 2, and 3

Water (100 μL) was added to a solution of 12 (102 mg; 0.20 mmol), 13 (126 mg; 0.22 mmol), or 14 (121 mg; 0.20 mmol) in TFA (1 mL). The reaction mixtures were stirred at RT for 1 h. The solvent was removed, and the residues were coevaporated three times with 1 N ammonia in methanol under reduced pressure. The residues were purified by reversed phase HPLC using a linear gradient of H2O/acetonitrile 100:0 → 20:80 with 0.2% of TEA to give the desired products.

1-(Methoxymethyl)-N-((5′-deoxyadenosin-5′-yl)methyl)cytosine-5-carboxamide (1)

Compound 1 was obtained as a white amorphous solid (74 mg; 0.16 mmol; 80%).

graphic file with name nihms-1593591-f0011.jpg

1H NMR (500 MHz, DMSO-d6): δ 8.43–8.27 (m, 3H, 1HNH, Ha5, Hc3), 8.16 (s, 1H, Ha1), 7.79 (brs, 1H, HNH), 7.79 (s, 1H, HNH), 7.30 (s, 2H, HNH), 5.88 (d, J = 5.0 Hz, 1H, Ha6), 5.49 (d, J = 5.8 Hz, 1H, HOH), 5.22 (d, J = 5.5 Hz, 1H, HOH), 5.04 (s, 2H, Hc6), 4.66 (q, J = 5.3 Hz, 1H, Ha7), 4.10 (q, J = 5.4 Hz, 1H, Ha8), 3.93 (dt, J = 4.4, 9.0 Hz, 1H, Ha9), 3.33–3.29 (m, 1H, Ha11), 3.28 (s, 3H, Hc7), 3.24–3.16 (m, 1H, Ha11), 2.04–1.80 (m, 2H, Ha10).

13C NMR (125 MHz, DMSO-d6): δ 165.3 (Cc5), 164.5 (Cc1), 156.5 (Ca2), 154.5 (Cc4), 153.1 (Ca1), 149.8 (Ca4), 148.4 (Cc1), 140.3 (Ca5), 119.6 (Ca3), 99.1 (Cc2), 88.1 (Ca6), 81.0 (Ca9), 79.6 (Cc6), 73.8 (Ca7), 73.5 (Ca8), 56.7 (Cc7), 36.4 (Ca11), 33.4 (Ca10).

HRMS-ESI (m/z) calculated for C18H24N9O6 [M + H]+: 462.1844. Found: 462.1942.

1-(Benzoxymethyl)-N-(5′-deoxyadenosin-5′-yl)methyl)cytosine-5-carboxamide (2)

Compound 2 was obtained as a white amorphous solid (96 mg; 0.18 mmol; 81%).

graphic file with name nihms-1593591-f0012.jpg

1H NMR (500 MHz, DMSO-d6): δ 8.42 (s, 1H, Hc3), 8.39–8.26 (m, 3H, 2HNH and Ha5), 8.16 (s, 1H, Ha1), 7.81 (brs, 1H, HNH), 7.39–7.21 (m, 7H, Hc9, Hc10, Hc11, 2HNH), 5.88 (d, J = 5.0 Hz, 1H, Ha6), 5.49 (d, J = 5.8 Hz, 1H, HOH), 5.25–5.16 (m, 3H, HOH, Hc6), 4.66 (ddd, J = 5.3, 10.9 Hz, 1H, Ha7), 4.60 (s, 2H, Hc7), 4.14–4.08 (m, 1H, Ha8), 3.94 (dt, J = 4.5, 9.1 Hz, 1H, Ha9), 3.34–3.26 (m, 1H, Ha11), 3.23–3.18 (m, 1H, Ha11), 2.01–1.82 (m, 2H, Ha10).

13C NMR (125 MHz, DMSO-d6): δ 163.6 (Cc5), 160.3 (Cc1), 152.1 (Ca4), 150.3 (Cc2), 149.0 (Ca1), 148.9 (Ca4), 147.3 (Cc3), 142.5 (Ca5), 137.6 (Cc8), 128.7 (Cc10), 128.3 (Cc11), 128.2 (Cc9), 119.4 (Ca3), 98.7 (Cc2), 88.4 (Ca6), 82.2 (Ca9), 78.6 (Cc6), 73.9 (Ca7), 73.8 (Ca8), 71.4 (Cc7), 55.5 (Cc7), 36.5 (Ca11), 33.2 (Ca10).

HRMS-ESI (m/z) calculated for C24H28N9O7 [M + H]+: 538.2757. Found: 538.2161.

1-(2-Aminoethyl)-N-(5′-deoxyadenosin-5′-yl)methyl)cytosine-5-carboxamide (3)

Compound 3 was obtained as a white amorphous solid (69 mg; 0.15 mmol; 75%).

1H NMR (500 MHz, DMSO-d6): δ 8.35 (s, 1H, Hc3), 8.28 (s, 1H, Ha5), 8.24 (t, J = 5.1 Hz, 1H, HNH), 8.18–8.06 (m, 3H, Ha1 and 2HNH), 7.57 (d, J = 23.6 Hz, 1H, HNH), 7.30 (s, 2H, HNH), 5.87 (d, J = 4.9 Hz, 1H, Ha6), 5.65–5.04 (m, 2H, HNH), 4.66 (t, J = 5.2 Hz, 1H, Ha7), 4.11 (t, J = 5.0 Hz, 1H, Ha6), 3.94 (tt, J = 9.0, 4.3 Hz, 1H, Ha9), 3.68 (t, J = 6.2 Hz, 2H, Hc6), 3.24–3.14 (m, 2H, H, Ha11), 2.88–2.70 (m, 2H, Hc7), 2.03–1.79 (m, 2H, Ha10), graphic file with name nihms-1593591-f0013.jpg 13C NMR (125 MHz, DMSO-d6): δ 165.7 (Cc5), 164.4 (Cc1), 156.5 (Ca2), 154.7 (Cc4), 153.1 (Ca1), 149.8 (Ca4), 149.7 (Ca1), 140.3 (Cc3), 119.6 (Ca3), 97.8 (Cc2), 88.1 (Ca6), 81.8 (Ca9), 73.8 (Ca6), 73.5 (Ca7), 52.5 (Cc6), 40.5 (Cc7), 36.3 (Ca11), 33.5 (Ca10).

HRMS-ESI (m/z) calculated for C18H25N10O5 [M + H]+: 461.2004. Found: 461.2011.

Synthesis of Chemical Probe 4

To a solution of 4-((4-(4-(hex-5-ynamido)benzoyl)phenyl)amino)-4-oxobutanoic acid 16 (6.7 mg; graphic file with name nihms-1593591-f0014.jpg 16 μmol), HATU (8 mg; 20 μmol) and DIPEA (7 μL; 38 μmol) in DMF (0.4 mL) were added 3 (6.3 mg; 4 μmol). The mixture was stirred at RT for 16 h. The residue was then directly purified by reversed phase HPLC using a linear gradient H2O/acetonitrile 100:0 → 20:80 with 0.01% of TEA to afford 4 as a amorphous white solid (8.3 mg; 9.8 μmol; 72%).

1H NMR (500 MHz, DMSO): δ 10.33 (s, 1H, HNH), 10.30 (s, 1H, HNH), 8.32 (s, 1H, Ha5), 8.28 (s, 1H, Hc3), 8.24 (brt, 1H, HNH), 8.14 (s, 1H, Ha1), 8.08 (brt, 1H, HNH), 7.77–7.71 (m, 4H, Hp9, Hp13), 7.71–7.66 (m, 4H, Hp8, Hp14), 7.28 (brs, 2H, HNH2), 5.86 (d, J = 5.1 Hz, 1H, Ha6), 5.51–5.46 (m, 1H, HOH), 5.24–5.18 (m, 1H, HOH), 4.64 (t, J = 4.9 Hz, 1H, Ha7), 4.08 (t, J = 5.2 Hz, 1H, Ha8), 3.98–3.91 (m, 1H, Ha9), 3.72 (t, J = 5.9 Hz, 2H, Ha11), 3.32–3.26 (m, 3H, Hc6 and Hc7), 3.21–3.12 (m, 1H, Hc7), 2.83 (t, J = 2.7 Hz, 1H, Hp1), 2.61 (t, J = 7.0 Hz, 2H, Hp17), 2.48 (t, J = 7.4 Hz, 2H, Hp5), 2.41 (t, J = 7.1 Hz, 2H, Hp18), 2.24 (dt, J = 2.8, 7.3 Hz, 2H, Hp3), 1.96–1.81 (m, 2H, Ha10), 1.78 (quint, J = 7.4 Hz, 2H, Hp4).

13C NMR (125 MHz, DMSO): δ 193.4 (Cp11), 171.6 (Cp19), 171.2 (Cp6, Cp16), 165.2 (Cc1), 164.1 (Cc4), 156.07 (Cc5), 154.1 (Ca2), 152.7 (Ca1), 149.4 (Ca4), 149.0 (Cc3), 143.0 (Cp15, Cp7), 139.8 (Ca5), 131.7 (Cp10 and Cp12), 130.9 (Cp9 and Cp13), 119.2 (Ca3), 118.2 (Cp8 and Cp14), 97.6 (Cc2), 87.7 (Ca6), 83.9 (Cp2), 81.3 (Ca9), 73.4 (Ca7), 73.1 (Ca8), 71.8 (Cp1), 49.2 (Ca11), 37.8 (Cc6), 35.8 (Cc7), 35.2 (Cp5), 33.1 (Ca10), 31.6 (Cp17), 30.0 (Cp18), 23.8 (Cp4), 17.3 (Cp3).

HRMS-ESI (m/z) calculated for C41H45N12O9 [M + H]+: 849.3427. Found: 849.3436.

N-(4-(4-(5-(Boc-amino)pentanamido)benzoyl)phenyl)hex-5-ynamide (5)

HATU (396.0 mg; 1.04 mmol) was solubilized in DMA (2 graphic file with name nihms-1593591-f0015.jpg mL) at RT under argon. The carboxylic acid 17 (215.0 mg; 0.99 mmol) and DIPEA (0.19 mL; 1.39 mmol) were added to the solution. After 20 min of stirring at RT, the compound 15 (198.9 g; 0.65 mmol) was then added. The reaction mixture was stirred at RT for 16 h. The residue was diluted with ethyl acetate and washed with water and brine and dried over sodium sulfate. The solvent was removed and the residue was purified by silica gel flash chromatography using a linear gradient of cyclohexane/ethyl acetate 0:100 → 80:20 to afford the title compound 5 as an amorphous white solid (309.8 mg; 0.57 mmol; 88% yield).

1H NMR (500 MHz, DMSO): δ 10.31 (s, 1H, HNH), 10.25 (s, 1H, HNH), 7.78–7.67 (m, 8H, Hp8, Hp9, Hp13 and Hp14), 6.82 (t, J = 5.5 Hz, 1H, HNH), 2.93 (q, J = 6.5 Hz, 2H, Hp20), 2.83 (t, J = 2.7 Hz, 1H, Hp1), 2.48 (t, J = 7.7 Hz, 2H, Hp5), 2.35 (t, J = 7.5 Hz, 2H, Hp17), 2.24 (dt, J = 2.5, 7.0 Hz, 2H, Hp3), 1.78 (quint, J = 7.2 Hz, 2H, Hp4), 1.58 (quint, J = 7.7 Hz, 2H, Hp18), 1.41 (quint, J = 7.2 Hz, 2H, Hp19), 1.37 (s, 9H, HBoc).

13C NMR (125 MHz, DMSO): δ 193.4 (Cp11), 171.8 (Cp6), 171.2 (Cp16), 155.6 (CBoc), 143.1 (Cp7), 143 (Cp15), 131.7 (Cp10, Cp12), 130.9 (Cp13, Cp9), 118.2 (Cp8, Cp14), 84 (Cp2), 77.4 (CBoc), 71.7 (Cp1), 39.4 (Cp20), 36.2 (Cp17), 35.2 (Cp5), 29.1 (Cp19), 28.2 (CBoc), 23.8 (Cp4), 22.4 (Cp18), 17.3 (Cp3).

HRMS-ESI (m/z) calculated for C29H35N3O5Na [M + Na]+: 528.2469, Found: 528.2471.

Cell Culture

KG-1, MOLM-13, and K-562 human leukemia cell lines; WM-266–4 human melanoma cancer cells; and MCF-7 human breast cancer cells were obtained from ATCC (USA). Cells were grown in RPMI 1640 GlutaMAX (ThermoFisher Scientific) medium containing 10% FCS (Lonza) for K-562 and MCF-7 cells and 20% for KG-1 and MOLM-13 cells, the WM-266–4 cell line was grown in EMEM containing 10% FCS at 37 °C and under 5% CO2.

In Situ Labeling of Cancer Cells for in-Gel Visualization

For probe labeling assays, suspension cells were counted, and adherent cells were grown until approximately 90–80% confluent before treatment. They were first washed twice with PBS and resuspended in their medium without FCS for the incubation with probes. The probe was added at desired concentration and incubated for 1 h at 37 °C. Chemical probe 4 was used for measurement sample and chemical probe 5 was used as control experiments for proteomic analysis. DMSO (1% v/v) was added in control samples. Competitor (1 or 2) was added 30 min after the test compound to chase. Following treatment, cells were washed once with PBS and resuspended in fresh medium for the UV-irradiation step. After 1 h of exposition at 365 nm, cells were lysed in lysis buffer (RIPA buffer (Sigma-Aldrich) + cOmplete, EDTA-free Protease Inhibitor Cocktail (PIC; Roche Diagnostics)) on ice for 15 min followed by 3 min of sonication (30 s/30 s on/off, medium power, Diagenode Bioruptor). Protein concentrations were determined, and proteome samples were diluted in PBS at a final concentration of 1 mg mL−1 for the CuAAC ligation. The premix reagents (60 μM TAMRA-biotin-azide, 1 mM CuSO4, 1 mM TCEP, and 100 μM TBTA, final concentrations) were added to the lysate. The samples were agitated for 1 h at RT. The proteins were next precipitated by the addition of methanol/chloroform/water (2:0.5:1) and pelleted by centrifugation at 15 000g for 5 min. After removal of the supernatant, the protein pellet was further washed in methanol and resuspended in PBS buffer containing 2% SDS and 10 mM DTT. Läemmli sample buffer was then added, and the samples were heated for 10 min at 95 °C, separated by 1D SDS-PAGE and visualized using Typhoon 9410 (GE Healthcare).

In Situ Labeling of Cancer Cells for Gel and MS Analysis

In parallel to SDS-PAGE visualization, samples were enriched on avidin-coupled agarose beads (Pierce NeutrAvidin Agarose, ThermoFisher Scientific; 50 μL, prewashed three times in 0.2% SDS in PBS) by incubation with gentle shaking for 2 h at RT to bind and enrich biotin-labeled proteins. The supernatant was then removed, and the beads were washed with 1% SDS in PBS (3 × 1 mL), 4 M urea in 50 mM ammonium bicarbonate (AMBIC; 2 × 1 mL), and 50 mM AMBIC (5 × 1 mL).

On-bead proteins were then resuspended in 50 μL of 50 mM AMBIC and reduced with 10 mM dithiothreitol at 55 °C for 30 min. After on-bead reduction, samples were washed twice with 50 mM AMBIC and again resuspended in 50 μL of 50 mM AMBIC for alkylation of cysteines by 10 mM iodoacetamide in the dark for 30 min. Beads were then washed twice with 50 mM AMBIC and resuspended in 50 μL of 50 mM AMBIC for protein digestion with trypsin (1 μg, Promega), overnight at 37 °C. Supernatant was kept in clean in an Eppendorf, and the beads were washed with 50 mM AMBIC followed by 0.1% TFA in H2O. Supernatants of each washing step were combined, evaporated to dryness, and resuspended for a desalting step before LC-MS/MS analysis.

Peptides were analyzed by nano-LC-MS/MS using an UltiMate 3000 RSLCnano system coupled to an Orbitrap Velos mass spectrometer (Thermo Fisher Scientific, Bremen, Germany). Five microliters of each sample was loaded on a C-18 precolumn (300 μm ID × 5 mm, Thermo Fisher) in water containing 5% acetonitrile and 0.05% TFA and at a flow rate of 20 μL·min−1. After 5 min of desalting, the precolumn was switched online with the analytical C-18 column (75 μm ID × 50 cm, Reprosil C18) equilibrated in 95% solvent A (5% acetonitrile, 0.2% formic acid) and 5% solvent B (80% acetonitrile, 0.2% formic acid). Peptides were eluted using a 5 to 50% gradient of solvent B over 105 min at a flow rate of 300 nL·min−1. The orbitrap Velos was operated in data-dependent acquisition mode with the XCalibur software. Survey scan MS was acquired in the Orbitrap on the 350–1800 m/z range with the resolution set to a value of 60 000. The 20 most intense ions per survey scan were selected for CID fragmentation. Dynamic exclusion was employed within 60 s to prevent repetitive selection of the same peptide.

Raw mass spectrometry files were processed with the MaxQuant software (version 1.5.2.8) for a database search with the Andromeda search engine and quantitative analysis. Data were searched against human entries of the Swissprot protein database. Carbamidomethylation of cysteines was set as a fixed modification, whereas oxidation of methionine and protein N-terminal acetylation were set as variable modifications. Specificity of trypsin digestion was set for cleavage after K or R, and two missed trypsin cleavage sites were allowed. The precursor mass tolerance was set to 20 ppm for the first search and 4.5 ppm for the main Andromeda database search. The mass tolerance MS/MS mode was set to 0.5 Da. Andromeda results were validated by the target-decoy approach using a reverse database at both a peptide and a protein FDR of 1%. For label-free relative quantification of the samples, the “match between runs” option of MaxQuant was enabled with a time window of 0.7 min, to allow cross-assignment of MS features detected in the different runs.

Specifically labeled proteins were identified by comparison to the alkyne probe-treated samples with the controls. The “LFQ” metric from the MaxQuant “protein group.txt” output was used, and ratios between the alkyne probe and controls were calculated. According to different thresholds/filters, proteins were considered specific if ratios are >2 or the log difference is >1, the log 10 p value > 1.33, the sum of the MS2 count of the probe/control > 5, and then if there is a statistically significant difference (Student’s t test, p = 0.05).

FP Competition Assay under Conditions of Equilibrium Binding

The GRP94 and HSP90α FP competition assays were performed on an Analyst GT instrument (Molecular Devices, Sunnyvale, CA) and carried out in black 96-well microplates (Corning, no. 3650) in a total volume of 100 μL in each well as previously described.9,44 A stock of 10 μM Cy3B-GM was prepared in DMSO and diluted with Felts buffer [20 mM HEPES (K) pH 7.3, 50 mM KCl, 2 mM DTT, 5 mM MgCl2, 20 mM Na2MoO4, and 0.01% NP40 with 0.1 mg.mL−1 BGG]. To each well was added the fluorescent dye labeled ligand (6 nM Cy3B-GM for GRP94 and HSP90α), recombinant protein (10 nM GRP94 or HSP90α), and the tested inhibitor (initial stock in DMSO) in a final volume of 100 μL of Felts buffer. Compounds were added in duplicate wells. For each assay, background wells (buffer only), tracer controls (free, fluorescent dye labeled ligand only), and bound controls (fluorescent dye labeled ligand in the presence of protein) were included on each assay plate. The assay plate was incubated on a shaker at 4 °C for 24 h, and the FP values (in mP) were measured. The fraction of fluorescent dye labeled ligand bound to GRP94 or HSP90α was correlated to the mP value and plotted against values of competitor concentrations. The inhibitor concentration at which 50% of bound fluorescent dye labeled ligand got displaced was obtained by fitting the data. For Cy3B-GM, an excitation filter at 530 nm and an emission filter at 580 nm were used with a dichroic mirror of 561 nm. All experimental data were analyzed using SoftMax Pro 6.3 and plotted using Prism 6.0 (Graphpad Software Inc., San Diego, CA), and binding affinity values are given as relative binding affinity values (EC50, concentration at which 50% of fluorescent ligand was competed off by compound). PU-H71 and PU-WS13 were included as controls.

Supplementary Material

Supp Information

ACKNOWLEDGMENTS

This work was supported by PlanCancer2014 France (no. EPIG201401), the Centre National pour la Recherche Scientifique (CNRS), the research center Pierre Fabre, the Région Occitanie, Toulouse Métropole, FEDER (Fonds Européens de Développement Régional) and the French Ministry of Research (Programme Investissement d’Avenir, Infrastructures Nationales en Biologie et Santé, Proteomics French Infrastructure project, ANR 10-INBS-08). This work was also funded in part by P01 CA186866 and P30 CA008748 (NCI Core Facility Grant). The authors thank T. Taldone (Sloan Kettering Institute) for discussion and proofreading of the manuscript.

Footnotes

The authors declare the following competing financial interest(s): Gabriela Chiosis has partial ownership in Samus Therapeutics Inc.

ASSOCIATED CONTENT

Supporting Information

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acschembio.9b00965.

Synthesis and characterization of compounds 6–17; 1H and 13C NMR spectra of compounds 1–5; inhibition percentages of various DNMT, KHMTs, and PRMTs for compounds 1–4; proteomic analysis result tables (Tables SI-1 to SI-5) and volcano plots (Graphs SI-1 to SI-5) (PDF)

Complete contact information is available at: https://pubs.acs.org/10.1021/acschembio.9b00965

Contributor Information

Dany Pechalrieu, ETaC, CNRS FRE3600, Centre de Recherche et Développement Pierre Fabre, Toulouse, France.

Fanny Assemat, ETaC, CNRS FRE3600, Centre de Recherche et Développement Pierre Fabre, Toulouse, France.

Ludovic Halby, ETaC, CNRS FRE3600, Centre de Recherche et Développement Pierre Fabre, Toulouse, France; EpiCBio, Epigenetic Chemical Biology, Department Structural Biology and Chemistry, Institut Pasteur, CNRS UMR no. 3523, 75015 Paris, France.

Marlene Marcellin, Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France.

Pengrong Yan, Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, New York, United States.

Karima Chaoui, Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France.

Sahil Sharma, Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, New York, United States.

Gabriela Chiosis, Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, New York, United States.

Odile Burlet-Schiltz, Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France.

Paola B. Arimondo, ETaC, CNRS FRE3600, Centre de Recherche et Développement Pierre Fabre, Toulouse, France; EpiCBio, Epigenetic Chemical Biology, Department Structural Biology and Chemistry, Institut Pasteur, CNRS UMR no. 3523, 75015 Paris, France.

Marie Lopez, ETaC, CNRS FRE3600, Centre de Recherche et Développement Pierre Fabre, Toulouse, France; Institut des Biomolécules Max Mousseron (IBMM), CNRS, Univ Montpellier, ENSCM UMR 5247, 34296 Montpellier Cedex 5, France.

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