Abstract
Macroautophagy (hereafter autophagy) is a multistep intracellular catabolic process with pleiotropic implications in cell fate. Attending to its activation, autophagy can be classified into inducible or constitutive. Constitutive, or basal autophagy, unfolds under nutrient-replete conditions to maintain the cellular homeostasis. Autophagy inhibitory drugs are powerful tools to interrogate the role of autophagy and its consequences on cell fate. However, 3-methyladenine and various of these compounds present an intrinsic capacity to trigger cell death, for instance the broadly-employed 3-methyladenine. To elucidate whether the inhibition of basal autophagy is causative of cell demise, we have employed several representative compounds acting at different phases of the autophagic process: initiation (SBI0206965 and MHY1485), nucleation (3-methyladenine, SAR405, Spautin-1 and Cpd18), and completion (Bafilomycin A1 and Chloroquine). These compounds inhibited the basal autophagy of MEF cultures in growing conditions. Among them, 3-methyladenine, SBI-0206965, Chloroquine, and Bafilomycin A1 triggered BAX- and/or BAK-dependent cytotoxicity and caspase activation. 3-methyladenine was the only compound to induce a consistent and abrupt decrease in cell viability across a series of ontologically unrelated human cell lines. 3-methyladenine-induced cytotoxicity was not driven by the inhibition of the AKT/mTOR axis. Autophagy-deficient Fip200−/− MEFs displayed an increased sensitivity to activate caspases and to undergo cell death in response to 3-methyladenine. The cytotoxicity induced by 3-methyladenine correlated with a massive DNA damage, as shown by γ-H2A.X. This genotoxicity was observed at 10 mM 3-methyladenine, the usual concentration to inhibit autophagy and was maximized in Fip200−/− MEFs. In sum, our results suggest that, in growing conditions, autophagy acts as a protective mechanism to diminish the intrinsic cytotoxicity of 3-methyladenine. However, when the cellular stress exerted by 3-methyladenine surpasses the protective effect of basal autophagy, caspase activation and DNA damage compromise the cell viability.
Keywords: 3-methyladenine, autophagy inhibitor, basal autophagy, Ɣ-H2A.X, apoptosis
Introduction
Macroautophagy (herein, autophagy) is a highly regulated cellular process by which cellular constituents are engulfed into autophagosomes before being degraded and reused. Autophagy is a constitutive process observed in most tissues in non-stressed nutrient-replete conditions (basal autophagy). However, it also increases in response to environmental cues such as nutrient starvation or the exposure to a plethora of stressors (inducible autophagy) (Kuma et al., 2004; Degterev et al., 2005; Mizushima, 2007; Mattiolo et al., 2015). Basal autophagy participates in essential housekeeping functions like the elimination of damaged organelles, toxic aggregates of misfolded macromolecules and, probably, in other crucial aspects of the cell and organism homeostasis (Boya et al., 2013). Nonetheless, over-stimulated autophagy may also lead to cell death type II (Clarke, 1990) due to an excessive degradation of intracellular components (Bialik et al., 2018). Regardless of the final cellular outcome, inappropriate levels of autophagy are at the origin of many pathologies, and thus modulation of this process is believed to have great therapeutic avenues. In this sense, inhibition of autophagy could be beneficial in the treatment of some types of cancer, chronic obstructive pulmonary diseases, neonatal asphyxia, and specific inflammatory-based illnesses (Galluzzi et al., 2017). Chloroquine and its derivative, hydroxychloroquine, are the only FDA-licensed drugs approved in clinical trials that aim to block autophagy. This historical shortage has been compensated by the development of an expanding arsenal of new pharmacological inhibitors. The selection of those with a better inhibitory profile and with less unspecific cytotoxicity demands of an accurate characterization.
Prior to the commitment into autophagy, cells must integrate information from hormonal, metabolic and stress stimuli to ensure that cell growth and proliferation are only engaged in favorable conditions. This coordination is achieved by cellular sensors like mTORC1 (mammalian target of rapamycin complex 1), which in its active form promotes cell growth and directs the metabolism into anabolic reactions. While the inhibition of mTORC1 triggers the activation of autophagy, maintaining a proper function stalls the process. Indeed, this strategy has been pharmacologically exploited by the autophagy inhibitory compound MHY1485, an activator of mTOR by a yet unknown mechanism (Choi et al., 2012). The autophagic process is orchestrated by the sequential activation of a series of protein complexes. Based on their order of participation, several autophagic phases are proposed. The “initiation phase” (Figure 1) involves the activation of the “ULK Initiation Complex”, which is under control of cellular sensors such as mTORC1 (D. Egan et al., 2011). This complex contains key serine/threonine kinases such as Unc-51-like kinase 1 (ULK1) or ULK2 and the scaffold protein FIP200, among other components. SBI-0206965 is an autophagy inhibitor that suppresses the kinase activity of ULK1/2 (D. F. Egan et al., 2015). The “initiation phase” gives way to the “Nucleation phase” of autophagy, which also comprises the elongation of the phagophore (Figure 1). This phase begins with the activation of the “VPS34 Nucleation Complex” at the sites of autophagosome formation. VPS34 (vacuolar protein sorting 34) is a class 3 phosphatidylinositol 3-kinase (PI3KC3) that forms a multiprotein complex with BECLIN-1. The generation of PI3P (phosphatidyl inositol 3-phosphate) by VPS34 and the recruitment of PI3P-binding proteins is a crucial step for the nucleation and elongation of the growing autophagosomes, which eventually seal to originate a mature vesicle (Jaber et al., 2012). 3-methyladenine has become a standard tool to test the involvement of autophagy in numerous biological paradigms through its blockage of VPS34 (Seglen and Gordon, 1982). Nonetheless, the high concentrations of 3-methyladenine required to block autophagy are facilitating its off-target effects (Wu et al., 2013). In addition, 3-methyladenine is not specific for VPS34, being class I PI3K (PI3KC1) also inhibited (Wu et al., 2010). To overcome these limitations, Cpd18 and SAR405, two inhibitors of VPS34 kinase activity with improved potency and selectivity, have been developed (Wu et al., 2013; Ronan et al., 2014; Pasquier, 2015). On the other hand, Spautin-1 inactivates VPS34 complex through the inhibition of two ubiquitin-specific peptidases (USPs) and thus increasing BECLIN-1 ubiquitination and degradation (Liu et al., 2011).
The loading of the autophagic cargo occurs during nucleation and elongation phases. It requires the participation of specific ubiquitin-like conjugation enzymes such as the E3-like complex formed by ATG16L1-ATG5-ATG12, which catalyzes the conjugation of cleaved MAP1LC3/LC3 to the lipid phosphatidylethanolamine, originating the LC3-II. LC3-II and the cargo receptor p62/SQSTM1 play relevant roles in cargo recognition and loading (Schaaf et al., 2016).
During the “Fusion phase”, the mature autophagosomes fuse to lysosomes originating the autolysosomes. These organelles contain the proteases in charge of the “Degradation” phase, whereby the cargo and structural molecules such as LC3-II and p62/SQSTM1 will be proteolyzed and recycled. For simplicity reasons, we clustered these final phases under the term “Completion phase of the autophagic process” (Figure 1). Chloroquine is a classical anti-malarial drug that suppresses autophagy by inhibiting the fusion of autophagosomes and lysosomes (Mauthe et al., 2018). On the other hand, Bafilomycin A1 belongs to the macrolide-type of antibiotics and inhibits the vacuolar H+-V-ATPase (V-ATPase), which is in charge of the lysosomal acidification. The pharmacological inhibition of lysosomal function allows the determination of the autophagic flux by comparing the accumulation of LC3-II and p62 in inhibited and non-inhibited conditions (Mizushima et al., 2010; Klionsky et al., 2016).
In this study, we set out to identify the autophagy inhibitory compounds that were cytotoxic in growing conditions, regardless of their autophagy inhibitory function. All the compounds tested were able to block basal autophagy but only SBI-0206965 (“Initiation phase”), 3-methyladenine (“Nucleation phase”), and Bafilomycin A1 and Chloroquine (“Completion phase”) triggered regulated cell death with the implication of caspases, and BAX and/or BAK. Among these drugs, 3-methyladenine showed the strongest activity at diminishing cell viability across four ontologically-unrelated human cell lines. The impairment of AKT/mTOR axis was not the leading mechanism of 3-methyladenine-driven cytotoxicity. 3-methyladenine-mediated cell death occurred independently of its basal autophagy blocking action, as demonstrated by using Fip200−/− MEFs. However, basal autophagy acted as a protective mechanism facing 3-methyladenine-induced caspase activation and cell death. Finally, cells cultured in the presence of cytotoxic concentrations of 3-methyladenine, displayed γ-H2A.X. Our study demonstrates that 3-methyladenine works as a genotoxic compound independently of its ability to block basal autophagy.
Materials and Methods
Cell Lines and Cell Culture Conditions
Immortalized Bax−/− Bak−/− (DKO) MEFs and their wild type (MEFs) counterparts were obtained from Dr. Korsmeyer’s laboratory. Fip200−/− MEFs and their counterparts (Fip200+/+ MEFs) were gently supplied by Dr. Molinari and originated at Dr. Guan’s laboratory. SH-SY5Y, HeLa, HEK 293 cell lines were obtained from the American Type Culture Collection (ATCC; Manassas, VA, USA). HCT116 human adenocarcinoma cell line was kindly provided by Dr Vogelstein (The Howard Hughes Medical Institute, Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, MD, USA).
All cell lines were maintained in DMEM (Gibco, Paisley, Scotland, UK) supplemented with 10% FCS (Gibco, Paisley, Scotland, UK) with the exception of HCT116, which were maintained in McCoy’s 5A (Biowest, Riverside, MO, USA) supplemented with 10% FCS. 5 μg/ml Plasmocin™ (InvivoGen, San Diego, CA, USA) was used as the media antibiotic. General culturing conditions were 37°C and a water-saturated, 5% CO2 atmosphere. Culture dishes and other plastic disposable tools were supplied by VWR (Radnor, PA, USA) and Becton Dickinson (Franklin Lakes, NJ, USA).
Drug Treatment of Cells in Culture
As autophagy inhibitory drugs, we have used MHY1485 (Ref. 500554), Spautin-1 (Ref. 567569) and Cpd18 (Ref. 505980) from Calbiochem, part of Merck, Darmstadt, Germany. SBI-0206965 (Ref. S-7885) and SAR405 (Ref. S7682) were purchased from Selleck chemicals, Houston, TX, USA. MHY1485, SBI-0206965, SAR405 and Spautin-1 were dissolved in DMSO at a final concentration of 20 mM, 20 mM, 10 mM and 10 mM respectively. A 8 mM working solution of Cpd18 was prepared in HBSS without glucose. 3-methyladenine was obtained either from Acros Organics (Morris Planes, NJ, USA) or ApexBio (A8353, Huston, TX, USA) and dissolved in HBSS (Hank’s buffer salt solution) without glucose at a final concentration of 40 mM. Before treating the cells, 3-MA was sonicated during 20 min to prevent the formation of aggregates. Chloroquine (Sigma-Aldrich, C6628) was dissolved in PBS at a final concentration of 50 mM. Wortmannin (SC-3505) was purchased from Santa Cruz Biotechnology Inc., Dallas, Texas, USA and prepared in PBS at a final concentration of 100 mM. Bafilomycin A1 (Ref. 11038, Cayman chemical, Ann Arbor, MI, USA) was dissolved in DMSO at a final concentration of 1 mM. To treat cells, a 100 μM working solution was prepared in PBS. From these stock solutions, the drugs were delivered to the culture media and adjusted to the final concentrations reported in the text and figures. All the treatments were performed in the presence of ¼ HBSS + ¾ DMEM 10% FBS, the maximal concentrations of HBSS without glucose reached with the 10 mM 3-MA. Cells were also treated with this medium plus the highest concentration of DMSO resulting from the drug treatments, thus becoming the drug-untreated control of our experiments. DMSO concentrations never surpassed a 0.1% in the medium. At this concentration, we have observed no alteration in the cultured cells. To inhibit apoptotic caspases, cell cultures were treated with the pan-caspase inhibitor q-VD-OPh (Ref 551476, Calbiochem, part of Merck, Darmstadt, Germany) dissolved in DMSO and employed at the concentration indicated in the figure legend.
Cell Staining Procedures
In order to visualize acidic vesicular organelles (AVOs), cells were stained with the monodansylcadaverine reagent (sc-214851, Santa Cruz Biotechnology Inc., Dallas, Texas, USA). In brief, cell cultures were incubated for 15 min with 50 μM monodansylcadaverine in the treatment medium before replacing it with fresh medium. To evidence the autophagic flux, DalGreen (D675, Dojindo, Japan) staining was used according to the supplier’s instructions. Briefly, 2,500 MEF cells were plated in 96-well plates. After 24 h, DALGreen reagent diluted in fresh medium was added to the cultures to reach a final concentration of 1 µM. After an incubation of 30 min, loading medium was replaced with fresh cell culture medium. Next, cells were subjected to the treatment conditions indicated in the figure. In order to detect the apoptotic nuclear morphology, cultured cells were directly stained with bis-benzimide (Hoechst 33342) at a final concentration of 2 ug/ml. Following the aforementioned procedures, cells were observed with an inverted fluorescence microscope (Nikon Eclipse Ts2R) and images captured and processed through NIS-Elements Basic Research Software. To quantify the number of monodansylcadaverine positive vesicles or the DALGreen Fluorescent intensity per cell, images of at least 50 cells from three independent wells were analyzed using ImageJ software (National Institutes of Health, Bethesda, MD, USA).
Cell Viability Determinations
To determine cell survival, alamarBlue™ Cell Viability Assay Reagent (Pierce Biotechnology, Rockford, IL, USA) was used according to the manufacturer’s protocol. This assay couples a non-specific cellular reductase activity of viable cells to the reduction of alamarBlue (AB) into a fluorescent product. Briefly, cells plated in 96-well plates were subjected to drug treatments, then AB (1/10th of the final volume) was added to each well. After an incubation of 3 h, fluorescent signal was quantified by means of a fluorescence plate reader (Infinite M200, Tecan). Percentage of viability was obtained by referring these values to the ones obtained in untreated control. To determine cell death, cells were collected by trypsinization and stained with 5 μg/ml propidium iodide (PI) from Sigma-Aldrich (St. Louis, MO, USA) directly in the cell culture medium. Following 15 min incubation at room temperature, cells were subjected to flow cytometry analysis.
Measurement of Caspase Activation
The activity of effector caspases (DEVDase activity) was obtained by quantifying the fluorescence released from Ac-DEVD-afc substrate (Cayman chemical, Ann Arbor, MI, USA). Cells in culture were lysed and incubated in the presence of this substrate at 37°C. This procedure was initially validated by Ribas et al. (Ribas et al., 2005) and routinely used in our laboratory afterwards.
Western-Blot
To obtain cytosolic extracts, cells were harvested and lysed in a buffer containing 50 mM NaCl, 25 mM Tris pH 6.8, 1 mM EDTA, 0.1% Triton X-100 supplemented with the Protease Inhibitor Cocktail Set III, EDTA-free (Calbiochem, part of Merck, Darmstadt, Germany). If a protein phosphorylation was examined, the phosphatase Inhibitor Cocktail II (Alfa Aesar part of Thermo Fisher scientific Inc., Kandel, Germany) was added to the buffer. Cell lysates were centrifuged at 15,000 r.p.m. for 30 min at 4°C before the determination of the protein content. To study histone H2A.X, whole cell protein extracts were obtained by lysing cells in a buffer containing 100 mM Tris/ClH pH 6.8, 1% SDS, 1 mM EDTA plus the protease and phosphatase inhibitory cocktails afore mentioned. Cell lysates were sonicated on ice for two rounds of 10 s before being clarified by centrifugation at 15,000 r.p.m. for 30 min. The amount of protein in the supernatants was quantified by a modified Lowry assay (DC protein assay, Bio-Rad, Hercules, CA, USA). Equal amounts of protein were loaded in the wells of SDS-polyacrylamide gels and separated in an electric field. Next, gels were electrotransferred onto 0.45 μm PVDF membranes (EMD Millipore, part of Merck Darmstadt, Germany) and blocked with Tris-buffered saline with 0.1% Tween 20 and 5% non-fat dry milk. Blocked membranes were probed with the following specific primary antibodies: anti-LC3B (1:1,000; L7543) from Sigma-Aldrich (St. Louis, MO, USA), anti-p62 (1:2,000; PM045) from Medical and Biological laboratories Co. “MBL” (Nagoya, Japan), anti-caspase 3 (1:2,000; clone 8G10, #9665 or 1:1,000; #9662), anti-phospho Ser757-ULK1 (1:1,000; #6888), anti-ULK1 (1:1,000; clone D8H5, #8054), anti-phospho Thr37/46-4E-BP1(1:1,000; clone 136B4, #2855), anti-4E-BP1 (1:1,000; clone 53H11, #9644) from Cell Signaling Technology, anti-α-Fodrin (1:15,000; MAB1622) and anti- H2A.X (1:1,000; #07-627) anti-phospho Ser139–H2A.X (1:1,000; clone JBW301, #05-636-I) from Millipore (part of Merck, Darmstadt, Germany). After incubation with the corresponding horseradish peroxidase-conjugated secondary antibody, the immunoblots were developed with the Immobilon™ reagent (Millipore, part of Merck, Darmstadt, Germany). Chemiluminescent images were recorded by means of a Chemidoc XRS apparatus and analyzed with the Image Lab version 4.0.1 software from Bio-Rad (Bio-Rad, Marnes-la-Coquette, France). Loading of each sample was assessed by staining the membranes during 5 min in a solution containing 10% methanol, 2% acetic acid, and 0.1% of Naphthol blue black Sigma-Aldrich (St. Louis, MO, USA). Then, membranes were de-stained in a 10% methanol and 2% acetic acid solution during 10 min. Membranes were allowed to dry before capturing images with the Chemidoc XRS apparatus. Otherwise stated, the westerns presented are a representative of at least three independent experiments.
To calculate the percentage of Basal Autophagic Flux (LC3-II T+BafA1/LC3-II T), LC3-II bands were detected on Chemidoc XRS (Bio-Rad, Marnes-la-Coquette, France). LC3-II protein levels were determined by computer-assisted densitometric analysis (Image Lab version 4.0.1 software from Bio-Rad). The density of each band was normalized to its respective loading control (Naphtol blue stained lane). Data obtained were expressed as the intensity ratio of LC3-II in cells subjected to an experimental condition in the presence of Bafilomycin A1 (“T+ BafA1”) to that of the same protein in cells subjected to the same experimental condition in the absence of Bafilomycin A1 (“T”). These intensity ratios were referred to the ratios of the basal autophagic flux in untreated cultures and expressed as a percentage, being 100% value assigned to control untreated cultures.
The intensity of the protein bands was quantified with the assistance of densitometric software (Image Lab version 4.0.1 software from Bio-Rad). After a step of normalization (see Figure legend), ratios were displayed in the figures.
Results
Cytotoxicity Induced by Autophagy Inhibitory Compounds Is Observed at Concentrations Inhibiting the Basal Autophagic Process
Pharmacological inhibitors of autophagy are a common tool to interrogate the role of autophagy in a specific setting. As detailed in Figure 1, autophagy inhibitors acting at the initiation phase (MHY1485 -MHY- and SBI0206965 -SBI-), at the nucleation phase (3-methyladenine -3-MA-, Cpd18, Spautin-1 -SPT-1- and SAR405 -SAR-) or at the completion phase (Chloroquine -CQ- and BafilomycinA1 -BafA1-) were selected to be studied. To quickly screen the inhibitory effects of these chemicals on basal autophagy, first we employed a method to evidence the presence of acidic vesicular organelles (AVOs). MEFs subjected for 6 h to previously reported concentrations of the selected autophagy inhibitors (Choi et al., 2012; Zhao et al., 2016; Wu et al., 2010; Liu et al., 2011; Wu et al., 2013; Manic et al., 2014; Shao et al., 2014; Egan et al., 2015; Martin et al., 2018) were stained with the lysosomotropic fluorophore monodansylcadaverine (MDC). As observed in Figure 2A, a consistent reduction of AVOs was observed in response to the inhibitors. These results were corroborated through the quantification of MDC-positive vesicles per cell (Supplementary Figure 1). The accumulation of AVOs in response to CQ was a previously reported phenomenon and was employed as a positive control to evidence the maximal amount of MDC-stained vesicles (Mauthe et al., 2018). BafA1, which suppressed the acidic accumulation of MDC into AVOs, was employed as a negative control (Bowman et al., 1988). Next, we explored the time-dependent changes of LC3-II, a widely used read-out of the autophagic flux. Treatments consisted in incubations for 3 h or 12 h with the different inhibitors in the presence or absence of BafA1 for the last 3 h of treatment. Again, we confirmed that all the inhibitors blocked the basal autophagic flux to some extent (Figure 2B). Remarkably, at 3 h, MHY, SAR, and CQ reduced the autophagic flux percentage to less than 25% while Cpd18 reduced it to a 63% compared with the untreated control (Figure 2B). At 12 h, all the compounds diminished the percentage of autophagic flux to values less than 45%, with the exception of 3-MA and Cpd18, which displayed values of autophagic flux of 49 and 54%, respectively (12 h, Figure 2B). Of note, CQ and BafA1, two common drugs used to assess the autophagic flux (Klionsky et al., 2016), triggered the greatest blockage of the autophagic flux at both 3 h and 12 h (Figure 2B).
Cell viability, after 24 h of treatment, was explored through the quantification of alamarBlue (AB) reduction. As shown in Figure 3A, among the inhibitors used, 3-MA and CQ diminished cell viability to 50% or below. Permeabilization of the external membrane with propidium iodide (PI) was evaluated at 48 h of treatment. The results evidenced that SBI (40%), 3-MA (70%), BafA1 (96%), and CQ (80%) triggered the most significant levels of cell lethality in growing medium, while cells challenged with MHY, SAR, Cpd18, and SPT-1 preserved the integrity of their plasma membrane (Figure 3B).
Altogether, despite some differences in their efficiency, MHY, SBI, 3-MA, Cpd18, SAR405, Spautin-1, CQ, and BafA1 are bona fide inhibitors of basal autophagy. Besides, our results prove that the inhibition of basal autophagy is not deleterious for MEF cultures in growing conditions.
Cytotoxic Autophagy Inhibitory Drugs Trigger BAX- and/or BAK-Dependent Cell Death and Caspase Activation
Apoptosis is the most frequent type of regulated cell death in response to chemotherapeutical drugs. Apoptotic cell death was reported in different cell models treated for more than 24 h with 3-MA (Boya et al., 2005; Hou et al., 2012), or with BafA1 or CQ, used as control compounds (Boya et al., 2003; Boya et al., 2005; Walls et al., 2010; Wang et al., 2018). DNA staining of the treated cell cultures with bis-benzimide was used to highlight the presence of pyknotic and/or karyorrhectic nuclei, two of the most characteristic morphological features of apoptosis. As shown in Figure 4A, MEFs cultured in the presence of SBI, 3-MA, CQ, or BafA1 displayed pyknotic/karyorrhectic nuclear morphologies, thus pointing to apoptosis as the leading subroutine of cell death. Apoptosis is characterized by the sequential activation of caspases, resulting in a well-organized disassembly of the cell. Caspase activity was addressed at 24 and 48 h through the internal cleavage of Ac-DEVD-afc, a widely-used fluorescent substrate of caspases. Only the cell cultures subjected to SBI, 3-MA, CQ, or BafA1 challenges displayed a significant increase of the caspase activity with respect to the other inhibitors (Figure 4B). At 24 h, 3-MA, CQ, and BafA1 were the top activators of caspases (Figure 4B), while SBI required 48 h of treatment to reach equivalent levels of caspase activation. In line with these results, SBI, 3-MA, CQ, or BafA1 or elicited the activation of the effector caspase-3 after 48 h of treatment (Figure 4C). Adding the pan-inhibitor of caspases q-VD-OPh to the culture media reverted the cleavage of caspase-3 in response to the compounds mentioned before. Caspase-3 was efficiently activated in response to these inhibitors, since we observed the presence of a specific 120 kDa-cleaved fragment of α-Fodrin, which was avoided with q-VD-OPh (Figure 4D). To assess the involvement of caspases in the observed cellular toxicity, we evaluated the cell death in the presence of q-VD-OPh (Figure 4E). To control these experiments, q-VD-OPh was used to block cell death of cultures treated with staurosporine (STS), a canonical trigger of apoptosis. In these conditions, we confirmed a decrease of cell death from 77% (STS) to 15% (STS+q-VD-OPh, results not shown). The addition of q-VD-OPh to the cultures attenuated the cell death in response to all the autophagy inhibitory drugs tested up to 48 h of treatment (Figure 4E and Supplementary Figures 2A, B). Finally, we explored the involvement of the mitochondrial intrinsic pathway in the observed apoptotic cell death. As reported before (Boya et al., 2005), Bax−/− Bak−/− (DKO) MEFs were resistant against apoptotic cell death induced by CQ and BafA1. Cell death of DKO MEFs and wt MEFs challenged with SBI, 3-MA, CQ, or BafA1 was compared. As shown in Figure 4F, DKO MEFs were resistant against the cytotoxicity mediated by all the employed compounds, including SBI and 3-MA. Altogether, these results show that caspases and BAX and/or BAK orchestrate the cell death induced by the assayed cytotoxic autophagy inhibitory drugs. Therefore, cytotoxicity comes from a regulated intracellular signaling rather than an uncontrolled mechanism of cell death.
Among the Autophagy Inhibitors Employed, 3-MA Is the Most Effective Compound at Decreasing Cell Viability of Several Ontologically Unrelated Human Cell Lines
To confirm the cytotoxicity of the assayed autophagy inhibitory compounds, an ontologically different panel of human cell lines, such as HCT116 (colon adenocarcinoma), HEK293 (human embryonic kidney), HeLa (cervix adenocarcinoma), and SH-SY5Y (neuroblastoma), was challenged with the initiation, nucleation, and completion inhibitors. As shown in Figure 5, 3-MA decreased the viability of all the assayed cell lines to less than 40% compared to control populations. In the same line, the 3-MA derivative Cpd18 also elicited a significant reduction in cell viability in three out of four cell lines (HEK293, HeLa and SH-SY5Y cells, Figure 5). On the other hand, the reduction of cell viability in response to SBI was similar to the one observed with Cpd18 (Figure 5). Notably, at the assayed concentrations, CQ and BafA1 were innocuous in most of the cell lines. In sum, 3-MA emerges as the most effective autophagy inhibitor at decreasing cell viability across several unrelated cellular models.
Basal Autophagy-Deficient Cells Are More Sensitive to 3-MA and SBI-Driven Cytotoxicity
Deletion of the focal adhesion kinase family interacting protein of 200 kDa (FIP200) avoids the formation of LC3-II, ATG16L1, and PI3P-binding protein puncta (Itakura and Mizushima, 2010) and abrogates the emergence of the autophagy isolation membrane (Kishi-Itakura et al., 2014; Tsuboyama et al., 2016). Based on these characteristics and its apical position in the autophagy pathway (Figure 1), it is considered as one of the best genetic approaches to suppress basal and induced autophagy. First, we assessed by western blot that Fip200−/− MEFs presented reduced levels of basal and inducible autophagy compared to their wild type genetic counterparts, Fip200+/+ MEFs. As shown in Figure 6A, the generation of LC3-II was markedly reduced in Fip200−/− MEFs maintained in full media (“basal autophagy”, Figure 6A) or subjected to a complete deprivation of nutrients and trophic factors (“starvation” in Figure 6A). Likewise, p62 pool remained elevated in both conditions (Figure 6A). These results support that FIP200 is a key protein for both basal and starvation-driven autophagy. To disprove that 3-MA- or SBI-driven cytotoxicity was a consequence of the inhibition of basal autophagy, we quantified the cell death induced by these inhibitors in Fip200+/+ and Fip200−/− MEFs. As negative controls, we included those non-cytotoxic compounds above-employed (MHY, Cpd18, SAR and SPT-1), which remained harmless after 48 h of incubation, regardless of the presence or the absence of FIP200 (Figure 6B). In contrast, cell cytotoxicity in response to 3-MA or SBI was enhanced in the autophagy-suppressed background, Fip200−/− MEFs (Figure 6B). In parallel, greater levels of caspase activity were observed in Fip200−/− MEFs treated with 3-MA, SBI (Figure 6C) or with the classical inducer of apoptosis, staurosporine (STS, Figure 6D). In sum, these results evidence that 3-MA- or SBI-mediated cytotoxicities are not due to the inhibition of basal autophagy. On the opposite, basal autophagy acts as a protective mechanism facing 3-MA or SBI-mediated cell death.
3-MA-Driven Cytotoxicity Is Shared by Its Structural Derivative Cpd18
We focused our interest on 3-MA-elicited cell death because of its extensive use and its greater cytotoxicity compared to SBI (see Figures 3, 5). 3-MA and Cpd18 are structurally related compounds that differ in a methylpiperidin group positioned at the C6 of the adenine (Figure 7A). We first confirmed the ability of 10 mM 3-MA and 0.5 mM Cpd18 to inhibit the autophagic flux. DALGreen is an innovative fluorescent molecule that stains the autophagosomes. Interestingly, the fluorescence of DALGreen is enhanced at acidic pH, which is suitable for monitoring the degradation phase of autophagy (Iwashita et al., 2018). After 8 h, cells treated with 3-MA (17.79 ± 0.96 a.u.f.) or Cpd18 (20.49 ± 0.94 a.u.f.) displayed a diminished DALGreen fluorescent signal compared to control populations (38.96 ± 1.08 a.u.f.), indicating that both compounds inhibit the autophagic flux (Supplementary Figures 3A, B). 3-MA is a widely-used drug to inhibit autophagy at concentrations ranging from 2.5 to 10 mM, being 10 mM the most frequently used (Seglen and Gordon, 1982; Petiot et al., 2000; Boya et al., 2005; Devereaux et al., 2013). Nonetheless, the calculated IC80 of 3-MA and its close analog Cpd18 to suppress starvation-driven autophagy are 6 and 1 mM, respectively (Wu et al., 2013). We re-evaluated the autophagy inhibitory effects of 3-MA in a concentration-dependent manner. In parallel, we also tested Cpd18 at concentrations ranging from 0.25 to 2 mM. The results with LC3-II and p62 evidenced a dose-dependent reduction of the autophagic flux in response to 3-MA and Cpd18 (Figure 7B and Supplementary Figure 3B, respectively). Next, we evaluated the cell death using the afore-employed concentrations of 3-MA and Cpd18. Cell death by 3-MA remained lower than 25% at concentrations below 10 mM but experienced an abrupt increase up to 82% at 10 mM (Figure 7C). The same behavior was observed at 2 mM Cpd18, which triggered a similar intensification of the cell cytotoxicity when increased from 1 up to 2 mM (23 to 64%, respectively, Figure 7C). Notably, the concentrations of 3-MA and Cpd18 that presented a greater attenuation of the autophagic flux were the ones associated with larger amounts of cell death. Altogether, these results stress the relevance of 3-MA and Cpd18 backbone structure to block autophagy as well as to engage cells into cell death.
Disruption of the AKT/mTOR Axis Is Not the Main Mechanism Driving 3-MA-Mediated Cell Death
In addition to its well-known inhibition of PI3K of class 3 (PI3KC3), 3-MA can also inhibit PI3K class 1 (PI3KC1) and mTOR (Ito et al., 2007; Wu et al., 2010). This lack of selectivity is also shared by wortmannin (Wn), an irreversible and potent pan-inhibitor of PI3Ks, including VPS34 (a PI3KC3) and mTOR (Arcaro and Wymann, 1993; Brunn et al., 1996). First, we assessed the blockage of the autophagic flux by wortmannin in a concentration-dependent manner. Among the concentrations employed, 100 μM wortmannin was the one exhibiting a most robust blockage of the autophagic flux (Figure 8A) and, hence, this concentration was selected to perform the following experiments. The serine/threonine kinase AKT is a target of phosphoinositide-dependent protein kinase-1 (PDK1), which is in turn regulated by PI3KC1 and holds a pro-survival/anti-apoptotic role in response to growth or survival factors. The activation of AKT is directed by two phosphorylations: one in threonine 308 (Thr308) by PDK1 and the other on serine 473 (Ser473) by several kinases, among them, the complex 2 of mTOR (mTORC2). We confirmed by Western blot that 10 mM 3-MA and 100 μM wortmannin were reducing the phosphorylations of AKT at Thr308 and at Ser473 already at 6 h of treatment (Figure 8B). Wortmannin triggered a severe abrogation of Ser473 phosphorylation and a partial, but intense, suppression of Thr308. Meanwhile, 3-MA was diminishing the phosphorylation of both positions, with a more pronounced inhibitory effect on Ser473. These results indicate that wortmannin is more efficient than 3-MA in inhibiting the activity of AKT, at least at the employed concentrations. Our experiments included Cpd18 and SAR405, which were reported to inhibit VPS34/PI3KC3 without affecting PI3KC1 (Wu et al., 2013; Ronan et al., 2014; Pasquier, 2015). As shown in Figure 8B, we observed a reduction of both AKT phosphorylations in response to these inhibitors. Nonetheless, the effects of SAR405 and Cpd18 were less pronounced than the effects of 3-MA.
The phosphorylations of ULK (Ser757) and 4E-BP1 (Thr37/46) are two surrogate markers of mTORC1 activity (Gingras et al., 1999; Kim et al., 2011). Wortmannin efficiently prevented the phosphorylation of ULK and 4E-BP1 at times as early as 6 h of treatment (Figure 8B). However, we were unable to observe a reduction of p-ULK in response to 3-MA. Likewise, 3-MA triggered only a mild reduction of p-4E-BP1. Overall, these results supported that differently from wortmannin, 3-MA was a weak inhibitor of AKT and mTORC1 activity.
To further disprove the inhibition of PI3KC1 and/or mTOR as the main mechanisms of 3-MA-driven cytotoxicity, we compared cell death in response to wortmannin or 3-MA. Despite using high concentrations of wortmannin (100 μM), cell death induced by 10 mM 3-MA was greater than the one in response to wortmannin (15% cell death, Figure 8C). Moreover, concentrations of wortmannin as high as 250 µM were still less toxic (40% cell death by PI, Figure 8C) than 10 mM 3-MA (80% cell death by PI, Figure 8C). In conclusion, while the inhibition of PI3KC1 and/or mTOR can partially contribute to 3-MA-mediated cell death, we rule out these phenomena as the main mechanisms guiding the 3-MA-elicited apoptotic cell death.
3-MA Induces γ-H2A.X in Cells at Cytotoxic Concentrations
Next, we interrogated whether apoptotic concentrations of 3-MA were also damaging the DNA. DNA damage was evaluated by the presence of the phosphorylated histone H2A.X at Ser139, also known as γ-H2A.X (Rogakou et al., 1998). First, we evaluated the levels of γ-H2A.X in response to growing concentrations of 3-MA. As shown in Figure 9A, 10 mM of 3-MA promoted a prominent increase of γ-H2A.X not paralleled by non-cytotoxic concentrations of 3-MA (2.5 and 5 mM). These results indicated a relationship between the degree of cytotoxicity and the amounts of γ-H2A.X. To further support this observation, we explored the induction of γ-H2A.X in Fip200−/− MEFs, which were more sensitive to cytotoxicity driven by 10 mM 3-MA (Figure 6B). As depicted in Figure 9B, 3-MA-treated Fip200−/− MEFs displayed greater amounts of γ-H2A.X as compared to Fip200+/+ MEFs. To test if the observed DNA damage is a response restricted to 3-MA, we employed the cytotoxic inhibitors studied before. As a control, we also included SAR, a non-cytotoxic inhibitor of autophagy. As shown in Figure 9C, increased levels of γ-H2A.X were evidenced in response to all of the cytotoxic inhibitors. Remarkably, 3-MA stood as the top inducer of γ-H2A.X among the rest of cytotoxic compounds. On the other hand, SAR was unable to promote γ-H2A.X. These results discard, first, the direct inhibition of VPS34 and second, the suppression of basal autophagy, as the mechanisms accountable for the 3-MA-mediated increase of H2A.X phosphorylation at Ser139. As far as we know, this is the first time that the cytotoxic inhibitors of autophagy, particularly 3-MA, emerge as inducers of DNA damage, as detected by γ-H2A.X.
Discussion
The pharmacological inhibition of autophagy, either alone or in combination with other chemotherapeutical drugs, is under investigation to become a fully accepted antitumoral strategy. In this sense, the therapeutic benefit of inhibiting the different phases of the autophagic process remains a matter of debate (Mulcahy Levy and Thorburn, 2020). Here, we employed several classical or innovative pharmacological inhibitors of autophagy, acting at the initiation, nucleation, or completion phases of autophagy. We have interrogated the consequences for cell viability when these inhibitors are incubated under regular growing conditions. Despite some initial differences, at 12 h most of the assayed compounds inhibit the autophagic flux of MEF cells to a similar extent. Nonetheless, the evaluation of cell death evidences the cytotoxic effects of 3-methyladenine, SBI-0206965, Bafilomycin A1, and Chloroquine and the non-cytotoxic profile of MHY1485, Cpd18, SAR405, and Spautin-1. We examined the effects of these compounds on the cell viability of tumor-derived cell lines such as HCT116, HeLa, or SH-SY5Y and a non-tumoral embryonic cell line, HEK293. While most of the assayed inhibitors are non-cytotoxic, 3-methyladenine triggers a consistent and abrupt decrease of cell viability across all the cell lines. These results are in agreement with Eng and colleagues who have demonstrated that basal autophagy is dispensable for the survival of several cell lines in growing conditions. To impair autophagy, the authors employed genetic strategies targeting ATG7, ULK, or VPS34, or pharmacological approaches using the chloroquine analog, Lys01 (Eng et al., 2016). Collectively, these data support that the simple inhibition of basal autophagy is not cytotoxic for normal or tumor-derived cells in growing conditions. One possible explanation could be linked to the metabolic status of the cell. Notably, cells in growing conditions have access to a plethora of exogenous biomolecules necessary to fuel their metabolism, thus potentially compensating the impairment of the recycling pathways. In that sense, healthy metabolic cells with impaired basal autophagy would undergo cell demise if, a second, or even the same insult engages cytotoxic intracellular pathways. In agreement with this idea, our results show that some of the assayed autophagy inhibitors, for instance 3-methyladenine, SBI-0206965, Bafilomycin A1, and Chloroquine, while blocking basal autophagy, they also engage cell death. In this line, 3-methyladenine (Hou et al., 2012), SBI-0206965 (Tang et al., 2017), chloroquine (Eng et al., 2016), and Bafilomycin A1 (Yan et al., 2016) are reported inducers of deleterious cellular outcomes independently of their autophagy suppressive action. At the concentrations employed in this study, these compounds trigger cellular stresses that are able to initiate apoptotic intracellular pathways. Despite the cell protection conferred by q-VD-OPh, a subpopulation of cells still succumb to these inhibitors, pointing to the involvement of other subroutines of cell death. Notably, this situation is especially relevant in chloroquine-treated cultures since q-VD-OPh rescues less than 20% of the cells. These signaling pathways converge into the mitochondrion, as revealed by the resilience of Bax−/− Bak−/− double-knockout MEFs to undergo cell death. Our studies place the mitochondrion as the central target of the cytotoxic inhibitors of autophagy employed. According to this, those inhibitors of autophagy that are unable to stress the mitochondria would remain non-cytotoxic, regardless of their capacity to impair basal autophagy. This idea is also evidenced by employing Fip200−/− MEFs. Although these cells present a dramatic reduction of basal autophagy, the non-cytotoxic autophagy inhibitors remain non-cytotoxic, probably as a consequence of their inability to alter the mitochondrial homeostasis. On the opposite, autophagy deficient Fip200−/− MEFs are more vulnerable to cell death in response to compounds acting as disruptors of the mitochondrial viability, for instance 3-methyladenine and SBI-0206965. Basal or constitutive autophagy is active in healthy cells cultured in growing conditions and contributes to the preservation of cellular homeostasis. On the other hand, inducible autophagy is a cellular stress-responsive adaptation to unfavorable environmental conditions. In this sense, chemo- and radiotherapy are stressful stimuli that elicit inducible adaptative autophagy (Nagelkerke et al., 2015). Our results support that starvation-induced autophagy is not qualitatively superior than basal autophagy at protecting cells from staurosporine-elicited cell death (results not shown). In other words, inducible autophagy would be insufficient to counteract staurosporine-mediated mitochondrial damage of cells under adverse metabolic conditions (e.g., starved cells). The molecular clues that differentiate basal and inducible autophagy, if any, are not yet well characterized. Based on our own data and the more recent literature, we surmise both types of autophagy are part of the same continuum (“the basal-to-inducible autophagy continuum”), only differentiated by their intensity.
3-methyladenine, the main subject of this study, is a compound identical to the DNA adduct N3-methyl-adenine (3meA). The DNA content of 3meA adducts increases in response to metabolic intermediates (i.e., S-adenosyl-methionine) or alkylating poisons (Rydberg and Lindahl, 1982). 3meA adduct, which projects into the minor groove of the DNA, is a potent inhibitor of both RNA and most DNA polymerases and accounts for most of the cytotoxicity in response to alkylating drugs (Engelward et al., 1998; Johnson et al., 2007). The collapse of unstable blocked replication forks provokes double-stranded DNA breaks (DSBs) (Bobola et al., 2012) and replication stress (Burhans and Weinberger, 2007). The phosphorylation of histone H2A.X on Ser139 (γ-H2A.X) is a widely accepted marker of DSB (Rogakou et al., 1998). In our experiments, cytotoxic concentrations of 3-methyladenine trigger the most prominent induction of γ-H2A.X compared to the other cytotoxic inhibitors of autophagy. This genotoxicity is not a direct consequence of caspase activation since the addition of q-VD-OPh to the culture media is unable to reduce the burst of 3-methyladenine-elicited γ-H2A.X. These results raise interesting questions about the mechanism of 3-methyladenine-mediated genotoxicity. It is tempting to attribute this genotoxicity to the direct incorporation of 3-methyladenine into the replicating DNA. However, 3-methyladenine is an ambident nucleophile, and methylation of DNA requires electrophilic compounds (Wu et al., 2013). In this sense, in vitro experiments evidence the inefficiency of 3-methyladenine at directly generating DNA breaks into plasmid DNA (J. Ribas & V.J. Yuste, unshown data). One alternative explanation could be related to the metabolic reprogramming exerted by this drug. Strikingly, 3-methyladenine rewires the carbohydrate metabolism resulting in an accumulation of glucose-6-phosphate, fructose-6-phosphate and phosphoenol pyruvate. This phenomenon is caused by cAMP and is unrelated to its intrinsic autophagy inhibitory function (Caro et al., 1988). In this sense, it is known that reducing sugars (such as glucose-6-phosphate or fructose-6-phosphate) can modify nucleic acids in a non-enzymatic reaction. Indeed, glucose-6-phosphate and fructose-6-phosphate trigger DNA damage, mutagenesis, and cytotoxicity (Bucala et al., 1985; Levi and Werman, 2003). Based on our results and the broad usage of 3-methyladenine, it would be of outstanding interest to go deeply into the molecular mechanisms of 3-methyladenine generating DNA damage and its relationship with metabolic changes.
With regard to the protective role of FIP200-mediated autophagy facing genotoxicity, we found that the upregulation of γ-H2A.X in response to 3-methyladenine is enhanced in the autophagy-deficient Fip200−/− MEFs. However, the simple inhibition of autophagy (either with SAR405 or in Fip200−/− MEFs) is unable to increase γ-H2A.X. These data indicate that increased γ-H2A.X is an autophagy-independent effect of 3-methyladenine and that autophagy is counteracting this genotoxic effects. This is in agreement with the role of autophagy in regulating DNA repair (Hewitt and Korolchuk, 2017). Notably, FIP200 deficiency diminishes DNA repair in response to irradiation, camptothecin or etoposide in a p62-dependent manner, thus increasing the cytotoxicity mediated by these stimuli (Bae and Guan, 2011). In support of these data, a direct link between p62 and the DNA damage machinery was established through the identification of its inhibitory role over RNF168, an H2A ubiquitinase that is essential for the recruitment of multiple DNA repair proteins (Wang et al., 2016). Moreover, autophagy is increased in cells subjected to an intense DNA damage in response to genotoxic stressors and is necessary for the recovery from replication stress (Vanzo et al., 2020).
Autophagy is known to counteract oncogenic transformation of normal cells but, at the same time, it promotes tumor progression and resistance of tumor-derived cells (Galluzzi et al., 2017). For this reason, the inhibition of autophagy is under consideration as a sensitizing mechanism towards chemotherapeutic agents. Our results evidence that the cytotoxic inhibitors of autophagy promote cytotoxicity and increase DNA damage. The degree of genomic damage could derive into diverse consequences: first, the engagement of deleterious intracellular pathways if levels of DNA damage surpass the cellular DNA repair capacity; or, second, the survival of cells able to repair the inflicted DNA damage. In this last scenario, tumor cells could accumulate genomic mutations, thus potentially worsening their malignant behavior. Among the cytotoxic inhibitors of autophagy studied here, 3-methyladenine is the top inducer of DNA damage. This compound shows unfavorable features to be translated into the clinics since its poor hydrosolubility and effective concentrations in the millimolar range (Seglen and Gordon, 1982; Petiot et al., 2000; Boya et al., 2005; Wu et al., 2010; Devereaux et al., 2013; Wu et al., 2013). However, taking into consideration that autophagy also participates in the evasion of tumor cells from immune surveillance, the interest of targeting VPS34 in the field of cancer immunotherapy is reinforced (Mgrditchian et al., 2017; Noman et al., 2020). Indeed, the inhibition of VPS34 is under consideration as an adjuvant therapy for the inhibitors of the immune checkpoints (ICIs). SAR405, or the new inhibitor of VPS34 SB02024, trigger an inflammatory profile that allows the infiltration of antitumoral immune cells to the tumor bed (Noman et al., 2020). Besides SAR405, our research identifies MHY1485 and Spautin-1 as interesting pharmacological tools in terms of their efficacy in blocking autophagy and their lack of cytotoxicity. In this sense, our studies support the interest of these drugs as safe and efficient non-cytotoxic inhibitors of autophagy to potentially be applied in new therapeutic strategies.
Overall, 3-methyladenine-driven DNA damage and cytotoxicity call for acautionary usage of this drug in those experimental paradigms where cell survival/death is interrogated. On the other hand, the lack of cytotoxicity of SAR405, MHY1485, and Spautin-1 portrays these compounds as great tools to address the role of autophagy in cell survival/death decisions, without the interference of distracting cytotoxic off-target effects.
Data Availability Statement
All datasets generated for this study are included in the article/Supplementary Material.
Author Contributions
JC performed the experiments and participated in the elaboration of the graphs. VY contributed to the conceptualization of the research, provided some resources, and helped in writing the first draft as well as the final manuscript. JB contributed to the elaboration of the graphs, writing the first draft, and provided some equipment and resources. JR conceived and designed the research, performed the formal analysis, validated the results, supervised the research, contributed to writing the first draft, and the final draft. JR provided the main resources and funding for this research. All authors contributed to the article and approved the submitted version.
Funding
This work and its publication fee were supported by a “Retos” project (SAF2016-78657-R) from the “Ministerio de Economía, Industria y Competitividad”/Fondos FEDER (Spain), granted to JR. JR is a Serra Húnter Fellow. JC holds a Ph.D. student fellowship from University of Lleida.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We thank Dr. Molinari for providing the Fip200−/− MEFs and their wild type counterparts (originated at Prof. Guan’s laboratory). We acknowledge the Cell Culture Facility, which is funded by IRBLLeida and Universitat de Lleida. We thank Ivan Ribas and Judith Roca for the technical assistance in the elaboration of the final version of the figures.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2020.580343/full#supplementary-material
Abbreviations
3-MA, 3-methyladenine; 3meA, 3-methyladenine adducts; AB, alamarBlue; ATG, autophagy-related gene; AVOs, acidic vesicular organelles; BafA1, Bafilomycin A1; CQ, Chloroquine; cyt C cytochrome C; DEVD, Ac-Asp-Glu-Val-Asp-AFC; DKO, double knockout; DSBs, double strand breaks; ER, endoplasmatic Reticulum; FIP200, Focal adhesion Kinase family interacting protein of 200 kDa; GA, Golgi apparatus; LC3, microtubule-associated protein 1 light chain 3; MDC, monodansylcadaverine; MEFs, mouse embryonic fibroblasts; MHY, MHY1485; mTOR, mammalian target of Rapamycine; NB, Naphthol blue; p62, p62/SQSTM1; PI, propidium iodide; PI3K, phosphatidylinositol 3-kinase; q-VD-OPh, N-(2-Quinolyl)valyl-aspartyl-(2,6-difluorophenoxy)methyl ketone; SAR, SAR405; SBI, SBI-0206965; SPT-1, Spautin-1; STS, staurosporine; SSBs, single strand breaks; ULK, Unc-51-like kinase; USP, ubiquitin-specific peptidase; V-ATPase, vacuolar-type H+-V-ATPase; VPS34, vacuolar protein sorting 34; Wn, Wortmannin.
References
- Arcaro A., Wymann M. P. (1993). Wortmannin Is a Potent Phosphatidylinositol 3-Kinase Inhibitor: The Role of Phosphatidylinositol 3,4,5-Trisphosphate in Neutrophil Responses. Biochem. J. 296 (2), 297–301. 10.1042/bj2960297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bae H., Guan J. L. (2011). Suppression of Autophagy by FIP200 Deletion Impairs DNA Damage Repair and Increases Cell Death upon Treatments with Anticancer Agents. Mol. Cancer Res. 9 (9), 1232–1241. 10.1158/1541-7786.MCR-11-0098 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bialik S., Dasari S. K., Kimchi A. (2018). Autophagy-Dependent Cell Death - Where, How and Why a Cell Eats Itself to Death. J. Cell Sci. Company Biol. Ltd. 10.1242/jcs.215152 [DOI] [PubMed]
- Bobola M. S., Kolstoe D. D., Blank A., Chamberlain M. C., Silber J. R. (2012). Repair of 3-Methyladenine and Abasic Sites by Base Excision Repair Mediates Glioblastoma Resistance to Temozolomide. Front. Oncol. 2, 176. 10.3389/fonc.2012.00176 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bowman E. J., Siebers A., Altendorf K. (1988). Bafilomycins: A Class of Inhibitors of Membrane ATPases from Microorganisms, Animal Cells, and Plant Cells. Proc. Natl. Acad. Sci. 85 (21), 7972–7976. 10.1073/pnas.85.21.7972 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boya P., Reggiori F., Codogno P. (2013). Emerging Regulation and Functions of Autophagy. Nat. Cell Biol. 15 (7), 713–720. 10.1038/ncb2788 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boya P., Gonzalez-Polo R.-A., Poncet D., Andreau K., Vieira H. L. A., Roumier T., et al. (2003). Mitochondrial Membrane Permeabilization Is a Critical Step of Lysosome-Initiated Apoptosis Induced by Hydroxychloroquine. Oncogene 22 (25), 3927–3936. 10.1038/sj.onc.1206622 [DOI] [PubMed] [Google Scholar]
- Boya P., González-Polo R.-A., Casares N., Perfettini J.-L., Dessen P., Larochette N., et al. (2005). Inhibition of Macroautophagy Triggers Apoptosis. Mol. Cell. Biol. 25 (3), 1025–1040. 10.1128/MCB.25.3.1025-1040.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brunn G. J., Williams J., Sabers C., Wiederrecht G., Lawrence J. C., Abraham R. T. (1996). Direct Inhibition of the Signaling Functions of the Mammalian Target of Rapamycin by the Phosphoinositide 3-Kinase Inhibitors, Wortmannin and LY294002. EMBO J. 15 (19), 5256–5267. 10.1002/j.1460-2075.1996.tb00911.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bucala R., Model P., Russel M., Cerami A. (1985). Modification of DNA by Glucose 6-Phosphate Induces DNA Rearrangements in an Escherichia Coli Plasmid. Proc. Natl. Acad. Sci. U. States America 82 (24), 8439–8442. 10.1073/pnas.82.24.8439 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burhans W. C., Weinberger M. (2007). DNA Replication Stress, Genome Instability and Aging. Nucleic Acids Res. Oxford Univ. Press. 35 (22), 7545–7556. 10.1093/nar/gkm1059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caro L., Heleen P., Plomp P. J.A.M., Wolvetang E. J., Kerkhof C., Meijer A. J. (1988). 3-Methyladenine, an Inhibitor of Autophagy, Has Multiple Effects on Metabolism. Eur. J. Biochem. 175 (2), 325–329. 10.1111/j.1432-1033.1988.tb14200.x [DOI] [PubMed] [Google Scholar]
- Choi Y. J., Park Y. J., Park J. Y., Jeong H. O., Kim D. H., Ha Y. M., et al. (2012). Inhibitory Effect of MTOR Activator MHY1485 on Autophagy: Suppression of Lysosomal Fusion.” Edited by Heidar-Ali Tajmir-Riahi. PloS One 7 (8), e43418. 10.1371/journal.pone.0043418 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clarke P. G. H. (1990). Developmental Cell Death: Morphological Diversity and Multiple Mechanisms. Anat. Embryol. Springer Verlag. 181 (12), 195–213. 10.1007/BF00174615 [DOI] [PubMed] [Google Scholar]
- Degterev A., Huang Z., Boyce M., Li Y., Jagtap P., Mizushima N., et al. (2005). Chemical Inhibitor of Nonapoptotic Cell Death with Therapeutic Potential for Ischemic Brain Injury. Nat. Chem. Biol. 1 (2), 112–119. 10.1038/nchembio711 [DOI] [PubMed] [Google Scholar]
- Devereaux K., Dall’Armi C., Alcazar-Roman A., Ogasawara Y., Zhou X., Wang F., et al. (2013). Regulation of Mammalian Autophagy by Class II and III PI 3-Kinases through PI3P Synthesis. PloS One 8 (10), e76405. 10.1371/journal.pone.0076405 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Egan D., Kim J., Shaw R. J., Guan K.-L. (2011). The Autophagy Initiating Kinase ULK1 Is Regulated via Opposing Phosphorylation by AMPK and MTOR. Autophagy 7 (6), 643–644. 10.4161/auto.7.6.15123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Egan D. F., Chun M. G. H., Vamos M., Zou H., Rong J., Miller C. J., et al. (2015). Small Molecule Inhibition of the Autophagy Kinase ULK1 and Identification of ULK1 Substrates. Mol. Cell 59 (2), 285–297. 10.1016/j.molcel.2015.05.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eng C. H., Wang Z., Tkach D., Toral-Barza L., Ugwonali S., Liu S., et al. (2016). Macroautophagy Is Dispensable for Growth of KRAS Mutant Tumors and Chloroquine Efficacy. Proc. Natl. Acad. Sci. U. States America 113 (1), 182–187. 10.1073/pnas.1515617113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Engelward B. P., Allan J. M., Dreslin A. J., Kelly J. D., Wu M. M., Gold B., et al. (1998). A Chemical and Genetic Approach Together Define the Biological Consequences of 3-Methyladenine Lesions in the Mammalian Genome. J. Biol. Chem. 273 (9), 5412–5418. 10.1074/jbc.273.9.5412 [DOI] [PubMed] [Google Scholar]
- Galluzzi L., Pedro J. M. B.-S., Levine B., Green D. R., Kroemer G. (2017). Pharmacological Modulation of Autophagy: Therapeutic Potential and Persisting Obstacles. Nat. Rev. Drug Discov. Nat. Publ. Group. 16 (7), 487–511. 10.1038/nrd.2017.22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gingras A. C., Gygi S. P., Raught B., Polakiewicz R. D., Abraham R. T., Hoekstra M. F., et al. (1999). Regulation of 4E-BP1 Phosphorylation: A Novel Two Step Mechanism. Genes Dev. 13 (11), 1422–1437. 10.1101/gad.13.11.1422 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hewitt G., Korolchuk V., II (2017). Repair, Reuse, Recycle: The Expanding Role of Autophagy in Genome Maintenance. Trends Cell Biol. Elsevier Ltd. 27 (5), 340–351. 10.1016/j.tcb.2016.11.011 [DOI] [PubMed] [Google Scholar]
- Hou H., Zhang Y., Huang Y., Yi Q., Lv L., Zhang T., et al. (2012). Inhibitors of Phosphatidylinositol 3’-Kinases Promote Mitotic Cell Death in HeLa Cells. PloS One 7 (4), e35665. 10.1371/journal.pone.0035665 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Itakura E., Mizushima N. (2010). Characterization of Autophagosome Formation Site by a Hierarchical Analysis of Mammalian Atg Proteins. Autophagy 6 (6), 764–776. 10.4161/auto.6.6.12709 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ito S., Koshikawa N., Mochizuki S., Takenaga K. (2007). 3-Methyladenine Suppresses Cell Migration and Invasion of HT1080 Fibrosarcoma Cells through Inhibiting Phosphoinositide 3-Kinases Independently of Autophagy Inhibition. Int. J. Oncol. 31 (2), 261–268. 10.3892/ijo.31.2.261 [DOI] [PubMed] [Google Scholar]
- Iwashita H., Sakurai H. T., Nagahora N., Ishiyama M., Shioji K., Sasamoto K., et al. (2018). Small Fluorescent Molecules for Monitoring Autophagic Flux. FEBS Lett. Wiley Blackwell. 592 (4), 559–567. 10.1002/1873-3468.12979 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jaber N., Dou Z., Chen J.-S., Catanzaro J., Jiang Y.-P., Ballou L. M., et al. (2012). Class III PI3K Vps34 Plays an Essential Role in Autophagy and in Heart and Liver Function. Proc. Natl. Acad. Sci. U. States America 109 (6), 2003–2008. 10.1073/pnas.1112848109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson R. E., Yu S.-L., Prakash S., Prakash L. (2007). A Role for Yeast and Human Translesion Synthesis DNA Polymerases in Promoting Replication through 3-Methyl Adenine. Mol. Cell. Biol. 27 (20), 7198–7205. 10.1128/mcb.01079-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim J., Kundu M., Viollet B., Guan K. L. (2011). AMPK and MTOR Regulate Autophagy through Direct Phosphorylation of Ulk1. Nat. Cell Biol. 13 (2), 132–141. 10.1038/ncb2152 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kishi-Itakura C., Koyama-Honda I., Itakura E., Mizushima N. (2014). Ultrastructural Analysis of Autophagosome Organization Using Mammalian Autophagy-Deficient Cells. J. Cell Sci. 127 (18), 4089–4102. 10.1242/jcs.156034 [DOI] [PubMed] [Google Scholar]
- Klionsky D. J., Abdelmohsen K., Abe A., Abedin M. J., Abeliovich H., Arozena A. A., et al. (2016). Guidelines for the Use and Interpretation of Assays for Monitoring Autophagy (3rd Edition). Autophagy Taylor Francis Inc. 12 (11), 1–222 10.1080/15548627.2015.1100356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kuma A., Hatano M., Matsui M., Yamamoto A., Nakaya H., Yoshimori T., et al. (2004). The Role of Autophagy during the Early Neonatal Starvation Period. Nature 432 (7020), 1032–1036. 10.1038/nature03029 [DOI] [PubMed] [Google Scholar]
- Levi B., Werman M. J. (2003). Fructose and Related Phosphate Derivatives Impose DNA Damage and Apoptosis in L5178Y Mouse Lymphoma Cells. J. Nutr. Biochem. 14 (1), 49–60. 10.1016/S0955-2863(02)00254-1 [DOI] [PubMed] [Google Scholar]
- Liu J., Xia H., Kim M., Xu L., Li Y., Zhang L., et al. (2011). Beclin1 Controls the Levels of P53 by Regulating the Deubiquitination Activity of USP10 and USP13. Cell 147 (1), 223–234. 10.1016/j.cell.2011.08.037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manic G., Obrist F., Kroemer G., Vitale I., Galluzzi L. (2014). Chloroquine and Hydroxychloroquine for Cancer Therapy. Mol. Cell. Oncol. Taylor Francis Ltd. 1 (1), e29911. 10.4161/mco.29911 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin K. R., Celano S. L., Solitro A. R., Gunaydin H., Scott M., O’Hagan R. C., et al. (2018). A Potent and Selective ULK1 Inhibitor Suppresses Autophagy and Sensitizes Cancer Cells to Nutrient Stress. IScience 8 (October), 74–84. 10.1016/j.isci.2018.09.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mattiolo P., Yuste V. J., Boix J., Ribas J. (2015). Autophagy Exacerbates Caspase-Dependent Apoptotic Cell Death after Short Times of Starvation. Biochem. Pharmacol. 98 (4), 573–586. 10.1016/j.bcp.2015.09.021 [DOI] [PubMed] [Google Scholar]
- Mauthe M., Orhon I., Rocchi C., Zhou X., Luhr M., Hijlkema K. J., et al. (2018). Chloroquine Inhibits Autophagic Flux by Decreasing Autophagosome-Lysosome Fusion. Autophagy 14 (8), 1435–1455. 10.1080/15548627.2018.1474314 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mgrditchian T., Arakelian T., Paggetti J., Zaeem Noman M., Viry E., Moussay E., et al. (2017). Targeting Autophagy Inhibits Melanoma Growth by Enhancing NK Cells Infiltration in a CCL5-Dependent Manner. Proc. Natl. Acad. Sci. U. S. A. 114 (44), E9271–E9279. 10.1073/pnas.1703921114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mizushima N., Yoshimori T., Levine B. (2010). Methods in Mammalian Autophagy Research. Cell 140 (3), 313–326. 10.1016/j.cell.2010.01.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mizushima N. (2007). Autophagy: Process and Function. Genes Dev. 21 (22), 2861–2873. 10.1101/gad.1599207 [DOI] [PubMed] [Google Scholar]
- Mulcahy Levy J. M., Thorburn A. (2020). Autophagy in Cancer: Moving from Understanding Mechanism to Improving Therapy Responses in Patients. Cell Death Different. Springer Nat. 27 (3), 843–857. 10.1038/s41418-019-0474-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nagelkerke A., Bussink J., Geurts-Moespot A., Sweep F. C. G. J., Span P. N. (2015). Therapeutic Targeting of Autophagy in Cancer. Part II: Pharmacological Modulation of Treatment-Induced Autophagy. Semin. Cancer Biol. Acad. Press 31, 99–105. 10.1016/j.semcancer.2014.06.001 [DOI] [PubMed] [Google Scholar]
- Noman M. Z., Parpal S., Van Moer K., Xiao M., Yu Y., Viklund J., et al. (2020). Inhibition of Vps34 Reprograms Cold into Hot Inflamed Tumors and Improves Anti–PD-1/PD-L1 Immunotherapy. Sci. Adv. 6 (18), eaax7881. 10.1126/sciadv.aax7881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pasquier B. (2015). SAR405, a PIK3C3/Vps34 Inhibitor That Prevents Autophagy and Synergizes with MTOR Inhibition in Tumor Cells. Autophagy 11 (4), 725–726. 10.1080/15548627.2015.1033601 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petiot A., Ogier-Denis E., Blommaart E. F. C., Meijer A. J., Codogno P. (2000). Distinct Classes of Phosphatidylinositol 3’-Kinases Are Involved in Signaling Pathways That Control Macroautophagy in HT-29 Cells. J. Biol. Chem. 275 (2), 992–998. 10.1074/jbc.275.2.992 [DOI] [PubMed] [Google Scholar]
- Ribas J., Gomez-Arbones X., Boix J. (2005). Caspase 8/10 Are Not Mediating Apoptosis in Neuroblastoma Cells Treated with CDK Inhibitory Drugs. Eur. J. Pharmacol. 524, (1–3). 10.1016/j.ejphar.2005.09.021 [DOI] [PubMed] [Google Scholar]
- Rogakou E. P., Pilch D. R., Orr A. H., Ivanova V. S., Bonner W. M. (1998). DNA Double-Stranded Breaks Induce Histone H2AX Phosphorylation on Serine 139. J. Biol. Chem. 273 (10), 5858–5868. 10.1074/jbc.273.10.5858 [DOI] [PubMed] [Google Scholar]
- Ronan B., Flamand O., Vescovi L., Dureuil C., Durand L., Fassy F., et al. (2014). A Highly Potent and Selective Vps34 Inhibitor Alters Vesicle Trafficking and Autophagy. Nat. Chem. Biol. 10 (12), 1013–1019. 10.1038/nchembio.1681 [DOI] [PubMed] [Google Scholar]
- Rydberg B., Lindahl T. (1982). Nonenzymatic Methylation of DNA by the Intracellular Methyl Group Donor S-Adenosyl-L-Methionine Is a Potentially Mutagenic Reaction. EMBO J. 1 (2), 211–216. 10.1002/j.1460-2075.1982.tb01149.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schaaf M. B.E., Keulers T. G., Vooijs M. A., Rouschop K. M.A. (2016). LC3/GABARAP Family Proteins: Autophagy-(Un)Related Functions. FASEB J. 30 (12), 3961–3978. 10.1096/fj.201600698R [DOI] [PubMed] [Google Scholar]
- Seglen P. O., Gordon P. B. (1982). 3-Methyladenine: Specific Inhibitor of Autophagic/Lysosomal Protein Degradation in Isolated Rat Hepatocytes. Proc. Natl. Acad. Sci. U. States America 79 (6 I), 1889–1892. 10.1073/pnas.79.6.1889 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shao S., Li S., Qin Y., Wang X., Yang Y., Bai H., et al. (2014). Spautin-1, a Novel Autophagy Inhibitor, Enhances Imatinib-Induced Apoptosis in Chronic Myeloid Leukemia. Int. J. Oncol. 44 (5), 1661–1668. 10.3892/ijo.2014.2313 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang F., Hu P., Yang Z., Xue C., Gong J., Sun S., et al. (2017). SBI0206965, a Novel Inhibitor of Ulk1, Suppresses Non-Small Cell Lung Cancer Cell Growth by Modulating Both Autophagy and Apoptosis Pathways. Oncol. Rep. 37 (6), 3449–3458. 10.3892/or.2017.5635 [DOI] [PubMed] [Google Scholar]
- Tsuboyama K., Koyama-Honda I., Sakamaki Y., Koike M., Morishita H., Mizushima N. (2016). The ATG Conjugation Systems Are Important for Degradation of the Inner Autophagosomal Membrane. Science 354 (6315), 1036–1041. 10.1126/science.aaf6136 [DOI] [PubMed] [Google Scholar]
- Vanzo R., Bartkova J., Merchut-Maya J. M., Hall A., Bouchal J., Dyrskjøt L., et al. (2020). Autophagy Role(s) in Response to Oncogenes and DNA Replication Stress. Cell Death Different. 27 (3), 1134–1153. 10.1038/s41418-019-0403-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walls K. C., Ghosh A. P., Franklin A. V., Klocke B. J., Ballestas M., Shacka J. J., et al. (2010). Lysosome Dysfunction Triggers Atg7-Dependent Neural Apoptosis. J. Biol. Chem. 285 (14), 10497–10507. 10.1074/jbc.M110.103747 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang J., Cui D., Gu S., Chen X., Bi Y., Xiong X., et al. (2018). Autophagy Regulates Apoptosis by Targeting NOXA for Degradation. Biochim. Biophys. Acta Mol. Cell Res. 1865 (8), 1105–1113. 10.1016/j.bbamcr.2018.05.007 [DOI] [PubMed] [Google Scholar]
- Wang Y., Zhang N., Zhang L., Li R., Fu W., Ma K., et al. (2016). Autophagy Regulates Chromatin Ubiquitination in DNA Damage Response through Elimination of SQSTM1/P62. Mol. Cell 63 (1), 34–48. 10.1016/j.molcel.2016.05.027 [DOI] [PubMed] [Google Scholar]
- Wu Y., Wang X., Guo H., Zhang B., Zhang X.-B., Shi Z.-J., et al. (2013). Synthesis and Screening of 3-MA Derivatives for Autophagy Inhibitors. Autophagy 9 (4), 595–603. 10.4161/auto.23641 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu Y.-T., Tan H.-L., Shui G., Bauvy C., Huang Q., Wenk M. R., et al. (2010). Dual Role of 3-Methyladenine in Modulation of Autophagy via Different Temporal Patterns of Inhibition on Class I and III Phosphoinositide 3-Kinase. J. Biol. Chem. 285 (14), 10850–10861. 10.1074/jbc.M109.080796 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yan Y., Jiang K., Liu P., Zhang X., Dong X., Gao J., et al. (2016). Bafilomycin A1 Induces Caspase-Independent Cell Death in Hepatocellular Carcinoma Cells via Targeting of Autophagy and MAPK Pathways. Sci. Rep. 6 (1), 1–13. 10.1038/srep37052 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao S., Chen C., Wang S., Ji F., Xie Y. (2016). MHY1485 Activates MTOR and Protects Osteoblasts from Dexamethasone. Biochem. Biophys. Res. Commun. 481 (3–4), 212–218. 10.1016/j.bbrc.2016.10.104 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All datasets generated for this study are included in the article/Supplementary Material.