Caspase-2 protects against ferroptotic cell death

Dawar, Swati; Benitez, Mariana C.; Lim, Yoon; Dite, Toby A.; Yousef, Jumana M.; Thio, Niko; Garciaz, Sylvain; Jackson, Thomas D.; Milne, Julia V.; Dagley, Laura F.; Phillips, Wayne A.; Kumar, Sharad; Clemons, Nicholas J.

doi:10.1038/s41419-024-06560-6

Download PDF

Article
Open access
Published: 01 March 2024

Caspase-2 protects against ferroptotic cell death

Cell Death & Disease volume 15, Article number: 182 (2024) Cite this article

1028 Accesses
Metrics details

Subjects

Abstract

Caspase-2, one of the most evolutionarily conserved members of the caspase family, is an important regulator of the cellular response to oxidative stress. Given that ferroptosis is suppressed by antioxidant defense pathways, such as that involving selenoenzyme glutathione peroxidase 4 (GPX4), we hypothesized that caspase-2 may play a role in regulating ferroptosis. This study provides the first demonstration of an important and unprecedented function of caspase-2 in protecting cancer cells from undergoing ferroptotic cell death. Specifically, we show that depletion of caspase-2 leads to the downregulation of stress response genes including SESN2, HMOX1, SLC7A11, and sensitizes mutant-p53 cancer cells to cell death induced by various ferroptosis-inducing compounds. Importantly, the canonical catalytic activity of caspase-2 is not required for its role and suggests that caspase-2 regulates ferroptosis via non-proteolytic interaction with other proteins. Using an unbiased BioID proteomics screen, we identified novel caspase-2 interacting proteins (including heat shock proteins and co-chaperones) that regulate cellular responses to stress. Finally, we demonstrate that caspase-2 limits chaperone-mediated autophagic degradation of GPX4 to promote the survival of mutant-p53 cancer cells. In conclusion, we document a novel role for caspase-2 as a negative regulator of ferroptosis in cells with mutant p53. Our results provide evidence for a novel function of caspase-2 in cell death regulation and open potential new avenues to exploit ferroptosis in cancer therapy.

ROS-dependent S-palmitoylation activates cleaved and intact gasdermin D

Article 10 April 2024

A guide to cell death pathways

Article 18 December 2023

Ferroptosis: molecular mechanisms and health implications

Article Open access 02 December 2020

Introduction

Caspase-2 is the most conserved member of the caspase family and is well-studied for its role as a tumor suppressor under conditions of oncogenic or replicative stress. Previous in vivo studies have established that caspase-2 deficient (Casp2^−/−) mice do not develop spontaneous tumors [1] but have enhanced susceptibility to tumorigenesis promoted by activation of oncogenes (K-Ras, EμMyc, and MMTV/c-neu) [2,3,4,5] or loss of a critical tumor suppressor gene (ATM) [6]. Furthermore, studies from human cancers have reported that the CASP2 gene located on Ch7q is frequently deleted in hematological malignancies [7]. Moreover, somatic loss-of-function mutations in the human CASP2 gene, although rare, have been found in multiple cancers [8, 9]. Mechanistically, the tumor suppressor function of caspase-2 has been attributed to its ability to cause apoptotic removal of aneuploid cells upon replicative stress [10]. However, the absence of caspase-2 is not sufficient to promote tumorigenesis in the MYCN-driven neuroblastoma model [11] or following 3-methylcholanthrene (3-MC)-induced fibrosarcoma and irradiation-driven lymphoma [12]. Together these findings indicate a context-specific role of caspase-2 in tumorigenesis.

In addition, Casp2^−/− mice display increased oxidative stress and impaired antioxidant defense response with ageing [13,14,15]. Consequently, when challenged with oxidative stressors, Casp2^−/− mice show enhanced oxidative stress-induced damage and tumor development [14]. These findings implicate caspase-2 as an important regulator of the cellular response to oxidative stress. However, in cancer cells, oxidative stress can be a double-edged sword, as excessive accumulation leads to overwhelming damage and ultimately cell death [16, 17]. This led us to explore the role of caspase-2 in ferroptosis, a non-apoptotic metabolic cell death that occurs from the lethal accumulation of iron and lipid peroxides [18]. Ferroptosis is suppressed by antioxidant defense pathways, such as that involving the selenoenzyme, GPX4 [18]. Hence, we hypothesized that caspase-2 may play a role in regulating ferroptosis. To investigate this, we used mutant-p53 (mut-p53) cancer cells previously demonstrated to be sensitive to ferroptosis induction due to mut-p53 mediated deregulation of oxidative stress response pathways [17]. More importantly, mutations in p53 account for more than half of all human cancers, which frequently results in aggressive tumors and poor patient survival [19]. Therefore, there is an urgent and critical need to develop innovative treatment strategies for patients with mut-p53 cancers.

Here, we have uncovered an important and unprecedented function of caspase-2 in protecting mut-p53 cancer cells from undergoing ferroptotic cell death. Specifically, we found that depletion of caspase-2 exquisitely sensitizes mut-p53 cancer cells to cell death induced by various ferroptosis-inducing drugs. We demonstrate that the catalytic activity of caspase-2 is not required for this role and suggest that caspase-2 regulates ferroptosis via protein–protein interactions, rather than substrate cleavage. We identified novel caspase-2 interacting proteins (including cell chaperone machinery) potentially regulating ferroptosis and we show for the first time that caspase-2 limits chaperone-mediated autophagy (CMA) to protect mut-p53 cancer cells from ferroptosis. We propose inhibiting caspase-2 or its interactions with regulators of ferroptosis as a unique strategy to kill mut-p53 cancer cells by ferroptosis. This provides a paradigm shift in understanding the functions of caspase-2 in cell death and potentially overcomes the limitations of conventional chemotherapy drugs that predominantly act by initiating apoptosis.

Results

Acute ablation of caspase-2 enhances ferroptotic cell death in a mut-p53-dependent manner

To examine if caspase-2 plays a role in ferroptosis, we used small interfering RNA (siRNA) to knockdown caspase-2 in isogenic parental p53^null and mut-p53 overexpressing (p53^R273H) lung cancer cells (H1299) and a mut-p53 esophageal cancer cell line (Flo-1) (Fig. 1a). We then measured dose responses to ferroptosis-inducing drugs [17, 18, 20] erastin, sulfasalazine (SAS), RSL3 and buthionine sulfoximine (BSO) (Supplementary Fig. S1a–d). In accordance with our previous studies [17], mut-p53 cancer cells were more sensitive to ferroptosis inducers compared to p53^null cancer cells (Fig. 1b–d). However, both mut-p53 and p53^null cancer cells were resistant to doses of BSO up to 5 mM (Fig. 1e). Interestingly, we found that depletion of caspase-2 led to enhanced ferroptosis in all cell lines; however, this effect was much more pronounced in the cancer cells expressing mut-p53 (Fig. 1b–e). The addition of ferroptosis inhibitors [18] deferoxamine (DFO, iron chelator), ferrostatin-1 (Fer1, inhibits lipid peroxidation), N-acetylcysteine (NAC, a cell-permeable analog of cysteine), glutathione- monoethyl ester (GSH-MEE, a cell-permeable analog of GSH), trolox (inhibits lipid peroxidation) and β-mercaptoethanol (reducing agent) rescued erastin-mediated cell death following caspase-2 depletion (Fig. 1f), confirming that cells were dying from ferroptosis. In contrast, an inhibitor of apoptosis (QVD) had little impact on cell death (Fig. 1f), consistent with previous studies [18]. To further determine if the increased cell death from acute loss of caspase-2 is specific to ferroptosis, we treated mut-p53 and p53^null cells with chemotherapeutic drugs 5FU and cisplatin, which cause DNA damage and apoptosis. We found that caspase-2 depletion did not enhance cell death in response to chemotherapeutic drugs (Supplementary Fig. S1e, f). Furthermore, the knockdown of caspase-3 in mut-p53 cancer cells did not enhance ferroptosis (Supplementary Fig. S1g, h), suggesting that this effect is specific to caspase-2 and is not due to other caspases. Together these results clearly demonstrate that caspase-2 negatively regulates ferroptosis, particularly in mut-p53 cancer cells.

**Fig. 1: Acute silencing of caspase-2 enhances ferroptotic cell death in a mut-p53-dependent manner and can be rescued by ferroptosis inhibitors.**

Loss of caspase-2 leads to a similar increase in ferroptosis in mut-p53 cancer cells

To investigate this phenomenon further we generated H1299p53^R273H and Flo-1 cell lines deficient for caspase-2 (H1299p53^R273H-CASP2^−/− and Flo-1CASP2^−/−) using CRISPR/Cas9 (Fig. 2a and Supplementary Fig. S2a). Similar to acute silencing of caspase-2 using siRNA, caspase-2 knockout significantly increased the proportion of cells that underwent ferroptosis in response to erastin and RSL3 (Fig. 2b, c and Supplementary Fig. S2 b–e). Furthermore, in the absence of caspase-2, cells formed significantly fewer colonies in comparison to controls in long-term clonogenic assays following treatment with erastin (Fig. 2d). In response to ferroptosis inducers, caspase-2 deficient cells showed a ‘ballooning’ phenotype (i.e., formation of a round cell with no cytosol) followed by catastrophic bursting of the plasma membrane, characteristic of ferroptotic cell death (Movies 1–4). Whilst basal levels were unaffected, H1299p53^R273H-CASP2^−/− cells showed heightened lipid peroxidation (Fig. 2e and Supplementary Fig. S2f) and reduced total glutathione (Fig. 2f) compared to the control Cas9 cells following treatment with RSL3 or erastin, respectively, consistent with an enhanced ferroptosis phenotype.

To examine the impact of caspase-2 loss in normal p53 wild-type cells, primary mouse embryonic fibroblasts (MEFs) from wild-type and Casp2^−/− mice were treated with erastin and RSL3 (Supplementary Fig. S2g). Ferroptotic cell death was not enhanced in Casp2^−/− MEFs compared to wild-type MEFs (Supplementary Fig. S2h), thereby supporting the notion that increased sensitivity to ferroptosis upon caspase-2 depletion is specific for mut-p53 cancer cells.

Loss of caspase-2 alters the expression of genes involved in the regulation of cellular stress pathways

Caspase-2 has previously been shown to influence transcriptome changes driven by oncogene activation and tumor suppressor loss in a context-specific manner [4]. To identify the transcriptomic differences and gene enrichment pathways affected by CASP2 deficiency in mut-p53 cancer cells, we carried out RNA sequencing in H1299p53^R273H cancer cells with acute loss and knockout of caspase-2 (Fig. 3a, b and Supplementary Fig. S3a, b). Comparisons were performed between: (i) control siRNA vs. CASP2 siRNA, and (ii) Cas9 vs. CASP2^−/− (Supplementary Fig. S3a, b). In total, 798 differentially expressed genes (DEGs) with nominal P-value < 0.05 were identified in the CASP2 siRNA/control siRNA group, of which 157 had a log2fold-change (FC) of >1 or < –1 (63 upregulated and 94 downregulated). Interestingly, SLC7A11, a key component of the glutamate/cystine exchanger (system xCT) and a ferroptosis regulator [17, 18] was the top downregulated gene in CASP2 siRNA vs. control siRNA group. In CASP2-/-/Cas9 group, 1003 significant DEGs were identified with 49 upregulated (log₂FC>1) and 57 downregulated genes (log₂FC < –1). There were 67 significant DEGs common in both the groups without caspase-2 as illustrated in the Venn diagram and of these 34 DEGs were either up or downregulated in both models (Fig. 3c). These included 14 upregulated (log2FC > 1)—ADAM17, APPL2, C12orf11, C5orf15, HMOX1, KIAA1539, MIS12, MKRN1, NEU1, RPS7, SESN2, STARD3NL, TSPYL5, ZNF708 and 20 downregulated (log2FC < –1) DEGs -AC008567.1, C20orf27, CD151, CIB1, CPT1A, ECM1, EFCAB4A, FN1, GIPC1, GSTK1, HCFC1, LETMD1, LYD3, MGAT5, MYEOV, PSMB10, SERTAD4, TCF7L1, TIMP2, TOX2 as illustrated in the heat-map (Fig. 3d).

Next, we identified biological processes that were significantly (nominal P-value < 0.01) enriched in the DEGs from CASP2/control siRNA and CASP2^−/−/Cas9 group. Interestingly, analysis of Gene Ontology (GO) and Reactome terms showed enrichment of biological processes associated with ferroptosis including regulation of cellular responses to stress (GO:0080135), metabolism of lipids (R-HSA-556833), lipids biosynthetic process (GO:0008610), and positive regulation of cell death (GO:0010942) (Fig. 3e). Additionally, Gene Set Enrichment Analysis (GSEA) identified downregulation of cellular oxidant detoxification (Supplementary Fig. S3c). Together, these data indicate that the downregulation of caspase-2 in mut-p53 cancer cells affects the expression of genes modulating cellular sensitivity to ferroptosis and therefore, provides a conducive environment for the induction of ferroptotic cell death.

The catalytic activity of caspase-2 is not required to execute its function in protecting mut-p53 cancer cells against ferroptosis

We wanted to examine if the canonical catalytic activity of caspase-2, which is required for the efficient apoptotic removal of tumorigenic cells, is also required for its role in limiting ferroptosis. To assess this, we re-expressed GFP-tagged caspase-2-C320G (Casp2^C320G), caspase-2-D135A (Casp2^D135A) or caspase-2-D330A (Casp2^D330A) mutants in CASP2^−/− mut- p53 cancer cells (Fig. 4a, b, d). Cells can’t be reconstituted with wild-type caspase-2 since it leads to apoptosis when expressed ectopically [21]. Previous studies have shown that mutation of its catalytic cysteine residue (C320) or aspartate residues (D135 or D330) results in the full (C320 and D135) or partial (D330) loss of its apoptotic activity [21]. Re-expression of catalytically inactive caspase-2-C320G mutant, or either of the two aspartate mutants, reversed the increased sensitivity to erastin caused by knockout of endogenous wild-type caspase-2 (Fig. 4c, e), clearly demonstrating that the catalytic activity and apoptotic function of caspase-2 are not required for its role in preventing ferroptosis. We, therefore, hypothesized that caspase-2 regulates ferroptosis via non-proteolytic interaction with other proteins.

Identification of novel caspase-2 interacting proteins underpinning ferroptotic cell death in mut-p53 cancer cells

To identify proteins that interact with caspase-2 that could potentially explain its ability to regulate ferroptosis, we performed an unbiased BioID proteomics screen. An E. coli-derived promiscuous biotin ligase (BirA*; BirA-R118G mutant) was fused with the Casp2^C320G mutant as a bait to biotinylate proteins in close proximity. We did not use wild-type caspase-2 since it leads to apoptosis when expressed ectopically [21]. A BirA* only expression vector was used as a control to validate the specificity of caspase-2 interacting proteins. Re-expression of BirA*-Casp2^C320G mutant in H1299p53^R273H-CASP2^−/− cells was confirmed by immunoblotting (Supplementary Fig. S4a). In line with our previous results, the re-expression of catalytic inactive caspase-2-BirA* mutant partially rescued erastin-mediated ferroptotic cell death in H1299p53^R273H-CASP2^−/− cells (Supplementary Fig. S4b).

BioID was performed in the presence and absence of erastin to capture basal interacting proteins and determine whether the caspase-2 interactome was altered in response to erastin. Biotinylated proteins were captured from protein lysates using streptavidin agarose beads and the depletion of biotinylated proteins in the supernatant was confirmed by immunoblotting (Supplementary Fig. S4c, d). Potential caspase-2-BirA* interacting proteins bound to the beads were isolated and identified by mass spectrometry-based proteomic analysis. There were >250 proteins identified within each sample (Supplementary Fig. S4e and Supplementary Table 1). A protein was determined to have significant differential expression if the log2FC was ≥1 and the adjusted P-value was ≤0.05. As expected, caspase-2 was the most enriched protein under both basal and erastin-treated conditions. Excluding caspase-2, we identified 25 caspase- 2-interacting candidate proteins under basal conditions (Fig. 5a). Following treatment with erastin, we identified 17 enriched caspase-2 interacting candidate proteins, of which 14 were part of the basal interactome, and 3 additional proteins namely KRT77, CTAG1A, and SQSTM1 (Fig. 5b).

**Fig. 5: Identification of novel caspase-2 interacting proteins underpinning ferroptotic cell death in mut-p53 cancer cells.**

To classify the 28 unique caspase-2 interacting proteins into significant interaction networks we utilized the STRING database with a medium confidence score of >0.4, which returned 52 biological connections (enrichment P-value < 0.001) depicted as edges between the nodes (Fig. 5c). To further classify the resulting network into functional groups, we performed functional enrichment for biological processes. Interestingly, we identified caspase-2 interacting proteins to function in processes related to protein folding and stability (GO: 0006457, GO: 0031647) and cellular responses to stress (R- HSA-3371556) (Fig. 5d). This included Hsp70 chaperones (HSPA8, HSPA6) and a suite of Hsp70/Hsp90 co-chaperones (DNAJB1, BAG3, DANJB6, SUGT1, NUDC and RUVBL1), suggesting that caspase-2 might protect mut-p53 cancer cells from ferroptosis through interaction with chaperone machinery.

Interestingly, our quantitative proteomics data identified mut-p53 as a caspase-2 interacting protein. Extending from this, we validated the interaction by immunoblotting and confirmed that mut-p53 immunoprecipitated with caspase-2 in BirA*-Casp2^C320G mutant expressing H1299p53^R273H-CASP2^−/− cells (Fig. 5e). Therefore, our data demonstrated for the first time a direct interaction between caspase-2 and mut-p53 under basal growth conditions, which may explain the mut-p53 selective modulation of ferroptosis by caspase-2 we observed (Fig. 1).

Caspase-2 limits chaperone-mediated autophagic degradation of GPX4

The major cognate chaperone, Hsc70/HSP73 (HSPA8), is the core regulator of chaperone-mediated autophagy (CMA), a form of selective autophagy that also requires Hsp90 [22]. CMA has previously been shown to be associated with ferroptosis execution via degradation of GPX4 [23]. Therefore, we next investigated if loss of caspase-2 promotes ferroptosis via chaperone-mediated autophagic degradation of GPX4. Interestingly, we observed reduced GPX4 protein levels in cells with acute knockdown of caspase-2 compared to control cells (Fig. 6a). Moreover, treatment with 17AAG, an inhibitor of HSP90 chaperone activity, could reverse the increased sensitivity to erastin treatment in CASP2 siRNA H1299p53^R273H cells (Fig. 6b). Furthermore, treatment with 17AAG partially reversed caspase-2 knockdown mediated downregulation of GPX4 protein levels (Fig. 6c). We next determined whether knockdown of caspase-2 can also regulate autophagy in general. Our results did not show an overall increase in autophagy in caspase-2 depleted cells compared to control cells as detected by light chain 3 (LC3)B-II and SQSTM1 protein levels before and after treatment with bafilomycin A1 (Baf A1), an inhibitor of autophagic flux (Supplementary Fig. S5). Taken together, these findings suggest that loss of caspase-2 promotes chaperone-mediated autophagic degradation of GPX4 which provides a sensitized environment and when challenged with ferroptosis-inducing drugs leads to severe lipid peroxidation and cell death in mut-p53 cancer cells (Fig. 6d).

Discussion

In this study, we provide the first demonstration of a previously unrecognized function of caspase-2 in protecting cancer cells carrying mut-p53 from ferroptosis. Our findings show that regulation of ferroptosis by caspase-2 does not require its canonical catalytic activity but instead involves protein–protein interactions. Moreover, we identified components of core chaperone machinery as key caspase-2 interacting proteins and provided evidence that caspase-2 protects cells from ferroptosis at least partially via preventing chaperone-mediated autophagic degradation of GPX4. We propose that targeting caspase-2 creates a previously unknown Achilles’ heel that could potentially be exploited as a treatment to selectively kill mut-p53 cancer cells by ferroptosis.

Several studies have previously implicated caspase-2 in non-apoptotic contexts, including its role as an important regulator of cellular oxidative stress pathways [14, 24, 25]. A predominant feature of Casp2^−/− mice is enhanced oxidative damage to proteins, lipids and reduced antioxidant signaling with ageing, making caspase-2 deficient mice more susceptible to these stress conditions [13,14,15]. In view of these findings, we explored the possibility of caspase-2 in regulating ferroptosis, a non-apoptotic cell death known to occur in response to an imbalance in oxidative stress and antioxidant defense pathways [18, 26]. Our cell viability and imaging data indicate that loss of caspase-2 renders mut-p53 cancer cells more susceptible to pro-ferroptotic drugs resulting from reduced GSH levels and enhanced lipid peroxidation. The RNA-sequencing data identified differential expression of oxidative stress-related genes including SESN2, HMOX1, SLC7A11 in mut-p53 cancer cells without caspase-2 under basal conditions. These observations are consistent with previous studies implicating the association of caspase-2 loss with transcriptional regulation of genes involved in tumorigenesis and redox signaling [4, 14]. Collectively, these studies imply that caspase-2 loss supports a favorable environment for ferroptosis and does not simply act by enhancing the kinetics of erastin effect.

Previous studies have reported a context-specific role for caspase-2 in tumorigenesis. Although several studies employing mouse models of tumorigenesis support a tumor suppressor role for caspase-2 [2, 3, 5, 6, 8, 9, 27], cancer-promoting role for caspase-2 has been reported for MYCN-driven neuroblastoma in a mouse model [11]. Consistent with this study, our data describe an oncogenic role of caspase-2 in limiting ferroptosis in mut-p53 cancer cells. The mechanism for caspase-2 tumor suppressor function has been mostly attributed to its ability to prevent cells from becoming cancerous through activating apoptosis or cell cycle arrest through MDM2 cleavage and p53 stabilization [28]. Both these roles are dependent on the catalytic activity of caspase-2 [10, 29]. Furthermore, as a proteolytic enzyme, caspase-2 is known to be inactive in dividing cells and activated via dimerization following a variety of cellular stress stimuli to mediate cleavage of cellular substrates to drive apoptosis [10, 30,31,32,33]. Our novel finding suggests contrasting roles for caspase-2 in ferroptosis and apoptosis and that proteolytic activity of caspase-2 is not required for the regulation of ferroptosis.

Studies so far have focused on identifying substrates cleaved by caspase-2 in apoptosis, whereas investigations to identify targets and regulators of caspase-2 in non-apoptotic contexts are limited. We utilized BioID proximity-dependent biotinylation to identify caspase-2 interacting proteins in mut-p53 cancer cells. Our interactome data revealed novel binding partners of caspase-2 including heat shock chaperone proteins, co-chaperones, and p53 (in our case mut-p53) under basal and erastin-treated conditions. Caspase-2 has been previously reported to be activated by a PIDDosome-like complex comprising of PIDD1 (p53-inducible with a death domain1) and RAIDD (RIP-associated ICH-1/CED-3 homologous proteins with a death domain) in apoptosis [34]. Activated caspase-2 then cleaves MDM2 to stabilize p53 or BID to generate tBID, leading to cell cycle arrest or apoptosis [28, 35]. Interestingly, caspase- 2 interacting proteins RAIDD and PIDD1 are not pulled down thereby suggesting a non-PIDDosome-related function of caspase-2. In contrast, for the first time, our results reveal caspase-2 and mut-p53 as binding partners in regulating ferroptosis. Our cell viability data further supports this finding as caspase-2 loss particularly sensitizes mut-p53 cancer cells and to a lesser extent p53 null cancer cells or wild-type p53 cells. Further studies are required to validate this interaction in other cancer cells with mutated p53.

CMA promotes the degradation of oxidatively damaged and functional proteins to maintain cellular homeostasis [23]. A recent study reported that activation of CMA leads to GPX4 degradation during ferroptosis [23]. In line with this finding, we found that caspase-2 limits CMA degradation of GPX4 to promote the survival of mut-p53 cancer cells. In contrast, there was no evidence to suggest a change in autophagic flux/protein degradation via bulk autophagy. The role of caspase-2 as a negative regulator of autophagy under basal conditions has been previously shown [25]. It was demonstrated that loss of caspase-2 increased autophagy as a protective mechanism to promote cell survival against oxidative stress [25]. In contrast, we show that it could be a vulnerability if the stress promotes ferroptosis. Specifically, we demonstrate that loss of caspase-2 provides a sensitized environment conducive to ferroptosis that triggers severe oxidative stress to mediate cell death. Interestingly, SQSTM1, a cargo receptor on autophagosomes that is involved in a wide range of “sub-types” of autophagy [36], was one of the interacting candidates in our Bio-ID screen. However, SQSTM1 has not been implicated in CMA. Whether loss of caspase-2 inhibits other selective types of autophagy associated with ferroptosis (such as altered levels of iron, ferritinophagy), and also if mut-p53 has a role in determining the context of autophagy, requires further investigation.

Despite being the most evolutionary conserved of caspases, the physiological function of caspase-2 has been enigmatic [37, 38]. This study provides a whole new perspective on the unanticipated role of caspase-2 as a negative regulator of ferroptosis, independent caspase-2 and/or its interacting proteins as a promising novel therapeutic strategy to promote the killing of mut-p53 cancer cells by ferroptosis.

Materials and methods

Drugs and general chemicals

Erastin, RSL3, BSO, 17AAG and Baf A1 were from SelleckChem (Houston, Texas, USA). Cisplatin and 5FU were from Hospira (Lake Forrest, Illinois, USA). GSH-MEE was from Cayman Chemicals (Ann Arbor, Michigan, USA). GSH, β-mercaptoethanol, NAC, trolox, ferrostatin-1, QVD, DFO, and SAS were from Sigma-Aldrich (St. Louis, Missouri, USA). Unless otherwise specified, all general chemicals were from Sigma-Aldrich.

Cell cultures

Isogenic lung cancer (H1299p53^null and H1299p53^R273H) and esophageal cancer cell lines (Flo- 1) were maintained in a humidified incubator at 37 °C with 5% CO2 in RPMI 1640 medium from Life Technologies (Carlsbad, California, USA) containing 2.5 mM L-glutamine and high-glucose DMEM (Life Technologies), respectively, supplemented with 10% heat-inactivated fetal bovine serum (FBS) (Sigma-Aldrich) and 100 U/ml Penicillin/100 μg/ml Streptomycin (Life Technologies).

Primary MEFs were derived from wild-type and Casp2^−/− embryos at day 13.5 as previously described [10, 27, 39] and maintained in high-glucose DMEM with 0.2 mM L-glutamine (Sigma-Aldrich), 10% FBS (JRH Biosciences, Lenexa, Kansas, USA) supplemented with 100 μM penicillin/streptomycin (Sigma-Aldrich). All the cell lines tested negatively for mycoplasma infection and their identities were confirmed by STR analysis.

siRNA transfections and dose–response assays

Cells were transfected with 40 nM Casp2 (ON-TARGET plus Human CASP2 siRNA SMARTpool L-003465-00-0050), Casp3 (ON-TARGET plus Human CASP3 siRNA SMARTpool L-004307-00-0020) or non-targeting control siRNA pools (ON-TARGET plus non-targeting pool D-001810-10-05) using Lipofectamine RNAiMAX transfection reagent (Life Technologies) as per the manufacturer’s instructions. Knockdown was confirmed by immunoblotting.

For dose–response assays in 384-well microplates (Falcon^®), a BioTek EL406 personal liquid handling workstation was used for dispensing cells and a Caliper Sciclone ALH3000 robot dispensed the siRNA:lipid:opti-MEM complexes. In brief, 500 cells per well were reverse transfected on day 1 for 48 h incubation. On day 3, a 10-point log2 serial dilution of drugs was added to the cells for a further 72 h incubation.

For cell viability measurements, 4 μl of AlamarBlue^® reagent (Life Technologies) was added per well, incubated for 4 h and fluorescence was read at 550 nm/590 nm on a Cytation 3 Imaging Reader (BioTek, Winooski, Vermont, USA).

For ferroptotic death rescue, 3500 cells per well in 100 µl culture media were seeded in 96-well plates (Falcon^®) and reverse transfected with Control and CASP2 siRNA for 48 h at 37 °C. The culture medium was then replaced with media containing 1 µM erastin and/or ferroptosis inhibitors including 20 µM ferrostatin-1, 1 mM trolox, 100 µM β-mercaptoethanol, 25 µM QVD, 5 mM NAC, 5 mM GSH-MEE, or 100 µM DFO followed by incubation for 72 h at 37 °C and cell viability was assessed with AlamarBlue^® as above.

For CMA rescue, 3500 cells per well in 100 µl culture media were seeded in 96-well plates (Falcon^®) and reverse transfected with Control and CASP2 siRNA for 48 h at 37 °C. The culture medium was then replaced with media containing 1 µM erastin and/or CMA inhibitor 17AAG followed by incubation for 48 h at 37 °C and cell viability was assessed with Incucyte FLR (Essen BioScience). The percentage (%) of cell death was determined by dividing the percentage of red confluency by the percentage of phase confluency.

Cell viability assay in MEF lines

For the cell viability assay, two independently generated MEF lines per genotype at passages 2–4 were used. Briefly, cells were seeded in triplicate at 3000 cells per well in 50 µl complete MEF culture media in a 96-well microplate (BD Biosciences, Franklin Lakes, New Jersey, USA) and cultured overnight at 37 °C with 10% CO2. Next day culture medium (50 µl) containing DMSO, 1 µM erastin, or 400 nM RSL3 was added, followed by 12 h incubation at 37 °C with ^{10% CO}2^. Twenty-five microliters of MTS/PMS (96:4) reagent were added to each well, followed by incubation for 3 h in a 10% CO2 incubator at 37 °C. Absorbance^was measured at 490 nm using a FLUOstar Omega (BMG Labtech, Ortenberg, Germany). Control wells (culture media only) were used to detect the cell-free background absorbance.

Generation of CASP2 knockout cell lines using CRISPR/Cas9 and dose–response assays

CASP2 knockout cell lines in H1299p53^R273H and Flo-1 were generated using Alt-R CRISPR- Cas9 technology (Integrated DNA Technologies, Coralville, Iowa, USA) as per the manufacturer’s instructions. Briefly, cells were transduced to express constitutive Cas9 endonuclease (FUCas9Cherry, Victorian Center for Functional Genomics, Peter Mac, Australia) and mCherry positive cells reported by flow cytometry. Casp2crRNA (Hs.Cas9.CASP2.1.AA/AltR1/rGrCrUrGrUrUrUrGrGrCrUrArGrCrArCrCrArCrUrGrUrUrU rUrArGrArGrCrUrArUrGrCrU/AltR2/) and Alt-R^® CRISPR-Cas9 tracrRNA duplexes were combined to a final concentration of 1 µM. To generate CASP2 knockout cell lines, Cas9 expressing H1299p53^R273H and Flo-1 were seeded at 2 × 10⁵ cells in 6-well plates (Falcon^®) and reverse transfected with crRNA:tracrRNA complex using Lipofectamine RNAiMAX solution for 48 h. The absence of caspase-2 was confirmed by immunoblotting.

For cell viability assay in CRISPR-Cas9 generated CASP2 knockout cell lines, cells were seeded at 500 cells per well in 100 µl culture medium in a 384-well microplate and cultured overnight at 37 °C with 5% CO2. The next day, the media was changed and a 10-point log2 serial dilutions of drugs were added to the cells for a further 72 h incubation. Twenty microlitres of AlamarBlue^® was added to 100 µl of culture medium, incubated for 4 h, and fluorescence was read at 550 nm/590 nm on a Cytation 3 Imaging Reader (BioTek).

GSH assay

Total intracellular glutathione measurements were performed as previously described [40]. Briefly, 5 × 10⁵ H1299p53^R273H Cas9 and H1299p53^R273H-Casp2^−/− cells with and without 2 µM erastin treatment for 12 h were homogenized in ice-cold 10 mM HCl. Proteins were precipitated by adding 5-sulfosalicylic acid (Sigma-Aldrich) to a final concentration of 1%. Samples were centrifuged to remove precipitates and supernatants were collected and stored at –20 °C until analysis. Samples were incubated in the presence of 5,5’-dithio-bis-[2-nitrobenzoic acid] (DTNB, 0.73 mM) (Sigma-Aldrich), EDTA (4 mM) (Sigma-Aldrich), dihydronicotinamide- adenine dinucleotide phosphate (NADPH, 0.24 mM) (Sigma-Aldrich), 110 mM sodium phosphate (NaH2PO4) buffer (pH 7.4) and glutathione reductase (GR; Sigma-Aldrich) from baker’s yeast (1.2 U/ml). The absorbance at 412 nm was measured every 15 sec for 5 min on a Cytation 3 Imaging Reader (BioTek). The total concentration of GSH + GSSG was calculated based on a GSH standard curve.

Lipid peroxidation detection assay

Lipid peroxidation was detected using C11-BODIPY(581/591) dye (ThermoFisher Scientific). Briefly, 2 × 10⁵ H1299p53^R273H Cas9 and Casp2^−/− cells were seeded in 6-well plates and incubated with and without RSL3 at 40 nM for 18 h. The cells were washed twice with PBS and incubated with C11- BODIPY (5 µM) for 30 min at 37 °C with 5% CO2. The cells were collected, washed twice with PBS, and resuspended in 200 µL of PBS with propidium iodide (2 µg/ml) and analyzed using flow cytometry (BD LSRFortessa, BD Biosciences).

Live-cell imaging

H1299p53^R273H Cas9 and Casp2^−/− cells were seeded in a 96-well plate at 3500 cells and treated with 2 µM erastin or vehicle (DMSO) and imaged for 18 h using Olympus IX 83 (Tokyo, Japan). Propidium iodide (2 µg/ml) was used as an indicator of cell death. Each frame was captured in 10 min of real-time.

Clonogenic survival assay

H1299p53^R273H Cas9 and Casp2^−/− cells at 1 × 10⁵ were seeded in a 35 mm dish and treated with 2 µM erastin or vehicle for 12 h. Cells were then harvested and re-seeded at a density of 10³ viable cells per well in a 6-well plate. After culturing for 10 days, the colonies were stained with 0.5% crystal violet (Sigma-Aldrich), and the area was counted using Cell Profiler software (Tokyo, Japan). A colony was defined as consisting of at least 50 cells.

Plasmid construction, transfection, and viability

pEGFPN1 or pEGFPN1-Casp2^C320G constructs have been described previously [5]. pEGFPN1- Casp2^D330A, pEGFPN1-Casp2^D135A mutant constructs were generated by GenScript. H1299p53^R273H-CASP2^−/− cells were seeded at 2 ×10⁵/well in 6-well plates one day before transfection. The next day, the cells were transfected with the respective constructs using Fugene^® HD from Promega (Madison, Wisconsin, USA) or Lipofectamine 3000 (Life Technologies) transfection reagent as per the manufacturer’s instructions. Cells were incubated with the transfection complexes for 24 h and GFP-positive cells were sorted by flow cytometry. Sorted cells were then re-seeded in 96-well plates and cell viability with and without erastin was measured by AlamarBlue^®. Expression of caspase-2 mutants was confirmed by immunoblotting.

Immunoblotting

Protein lysates were prepared from cells in RIPA buffer (25 mM Tris/HCl pH 7.4, 150 mM NaCl, 1% nonyl-phenoxylpolyethoxylethanol, 1% sodium deoxycholate, 0.1% sodium dodecyl sulfate) in the presence of protease/phosphatase inhibitor cocktail (Thermo Scientific, Rockford, Illinois, USA). Homogenates were further treated by three freeze/thawed cycles in liquid nitrogen, clarified by centrifugation at 13.2 K rpm, and protein concentration was determined by BCA assay (Bio-Rad, Hercules, California, USA). For immunoblot analysis, 20-30 µg of lysates were resolved on 4–15% or 10% precast gels (Bio-rad) and transferred onto 0.45 µm PVDF membrane (Immobilon-P; Merck Millipore) and probed with the specified antibody overnight at 4 °C. Secondary antibodies, conjugated with Horseradish peroxidase (HRP) were incubated at room temperature for 2 h. Proteins were visualized using ECL Plus (Pierce) or Immune-Star Western Chemiluminescence kit (Bio-rad). The following antibodies were used: caspase-2 (clone 11B4) (In-house), GPX4 antibody (Abcam, Cambridge, Massachusetts, USA), caspase-3 (Cell Signalling Technology, Danvers, Massachusetts, USA), p53 (DO-1 and 1801) (In-house), LC3-B (Cell Signalling Technology, Danvers, Massachusetts, USA) and Vinculin (Abcam, Cambridge, Massachusetts, USA).

RNA-sequencing

Total RNA was isolated from H1299p53^R273H Control and CASP2 siRNA transfected cells, H1299p53^R273H Cas9 and Casp2^−/− cells using the Nucleospin RNA kit (Macherey-Nagel GmbH & Co, Germany). Three biological replicates each were prepared. RNA concentration and purity were measured with a NanoDrop1000^TM spectrophotometer (Thermo Fisher Scientific). RNA-seq was performed by the Molecular Genomic core facility at Peter MacCallum Cancer Center. The library was prepared with QuantaSeq Lexogen 3’mRNAFW on the Illumina NextSeq 500 system using Single End 75 base reads and read depth between 3-4 million reads per sample.

RNA-sequencing reads were aligned using HISAT2 [41], and gene expression was quantified using HTSeq software [42]. Normalized expression was measured in count-per-million (CPM) in log2 scale, with library size adjustment using the Trimmed Mean of M-values method [43], using edgeR [43] R package. Differential expression analysis was performed using LIMMA- Voom workflow [44]. Genes with consistent extreme-low expression across 80% of samples were excluded from analysis, to reduce noise amplification in the Voom method. Gene set enrichment analysis was performed using GSEA [45], comparing two groups of triplicates. MSigDB gene set collections were used as a reference to discover significantly upregulated gene sets. Heatmap figures are visualization of normalized expression data, using Pearson correlation distance to compare across genes and Euclidean distance to compare across samples. The color scale of each gene is centered at the average normalized expression across samples in the heatmap.

Statistical analysis of data

All statistical analyses were carried out using GraphPad Prism, Version 9.2 (GraphPad, GraphPad Software Inc) or Microsoft Excel, Version 16.56. The difference between data groups was analyzed using a two-tailed Student’s t-test or ANOVA with Dunnett’s multiple comparisons post hoc test as indicated in the manuscript. Data are represented as mean ± standard error of the mean (s.e.m.). P-values < 0.05 were considered statistically significant.

BioID

Point-directed mutagenesis was performed in BirA*-Casp2 to generate BirA*-Casp2^C320G mutant by GenScript (Piscataway, New Jersey, USA). H1299p53^R273H-Casp2^−/− cells were seeded at 1.5 × 10⁶ cells in 10 cm dishes one day before transfection. The next day, the cells were transfected with 14 µg of constructs in RPMI without antibiotics and incubated at 37 °C for 30 h. The following day cells were re-seeded at 8 × 10⁵ cells and treated with biotin (500 µM) and erastin at 3 µM for 18 h at 37 °C with 5% CO2. Cells were washed eight times with ice-cold PBS and then re-suspended in RIPA buffer with phosphatase and protease inhibitors. Five biological replicates per condition were prepared. Protein was quantified using BCA assay (Bio-rad). Biotinylated proteins were captured from lysates (500 µg per replicate) using 10 μg streptavidin sepharose (GE Healthcare, Waukesha, Wisconsin, USA) for 8 h, rotating at 4^oC. The beads were then washed three times with RIPA lysis buffer, transferred to Snap Cap Spin Columns (Pierce, Rockford, Illinois, USA), and washed three times with high salt buffer (10 mM Tris-HCl, 500 mM NaCl, pH 7.5), then three times with tryptic digest buffer (50 mM ammonium bicarbonate, 1.5 M urea). Proteins were digested on beads for 16 h at 37 ^oC using 1 µg trypsin and peptides were collected into new tubes by centrifugation. The collected peptides were lyophilized to dryness using a CentriVap (Labconco, Kansas, Missouri, USA), before reconstituting in 10 µl 0.1% formic acid (FA)/2% acetonitrile (ACN) ready for mass spectrometry analysis. BirA* and BirA*-Casp2^C320G mutant expression in H1299p53^R273H- Casp2^−/− was confirmed by immunoblotting and viability following erastin treatment was assessed by AlamarBlue^® as mentioned previously. Depletion of biotinylated proteins from lysates was confirmed by immunoblotting using Streptavidin HRP antibody (STAR 5B, Bio-rad).

Mass spectrometry analysis

Peptides (3 µl) were separated by reverse-phase chromatography on a C18 fused silica column (inner diameter 75 µm, OD 360 µm × 15 cm length, 1.6 µm C18 beads) packed into an emitter tip (IonOpticks, Fitzroy, Victoria, Australia), using a nano-flow HPLC (M-class, Waters, Milford, Massachusetts, USA) coupled to a timsTOF Pro (Bruker, Billerica, Massachusetts, USA) equipped with a CaptiveSpray source. Peptides were loaded directly onto the column at a constant flow rate of 400 nl/min with buffer A (99.9% Milli-Q water, 0.1% FA) and eluted with a 30-min linear gradient from 2 to 34% buffer B (99.9% ACN, 0.1% FA). The timsTOF Pro was operated in diaPASEF mode using Compass Hystar 5.1. Settings were as follows:

Mass Range 100 to 1700 m/z, 1/K0 Start 0.6 V·s/cm² End 1.6 V·s/cm², Ramp time 100 ms, Lock Duty Cycle to 100%, Capillary Voltage 1400 V, Dry Gas 3 l/min, Dry Temp 180 °C. The acquisition scheme for diaPASEF is shown in Supplementary Table 2. The collision energy was ramped linearly as a function of the mobility from 59 eV at 1/K0 = 1.6 V·s/cm² to 20 eV at 1/K0 = 0.6 V·s/cm². The mass spectrometry proteomics data have been deposited in the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD041339. with the username reviewer_pxd041339@ebi.ac.uk and password K7eRYyXN [46].

Raw data processing and analysis

Data files were analyzed by DIA-NN v1.8 software [47]. Data was searched against the human Uniprot Reference Proteome with isoforms (downloaded August 2021), with recombinant protein sequences added, as a FASTA digest for library-free search with a strict trypsin specificity allowing up to 2 missed cleavages. The peptide length range was set to 7–30 amino acids. Precursor charge range was set between 1–4, and m/z range of 300–1800. Carbamidomethylation of Cys was set as a fixed modification. Precursor FDR was set to 1% and the match between runs was on.

Data cleaning and analysis were performed using R (version 4.1.2). Proteins without any proteotypic precursors or with a q-value greater than 0.01 were removed. In addition, only proteins that were quantified in at least 50% of replicates in at least one condition were kept. The protein intensities were log2-transformed. Missing values were imputed by the Missing At Random (v2-MAR) method implemented in msImpute package (v. 1.3.3). The data were normalized using the cyclic loess method implemented in limma (v. 3.50.0). Differential analysis was performed using limma (v. 3.50.0). A protein was determined to have significant differential expression if the log2 FC was ≥1 and the adjusted P-value was ≤0.05. The following comparisons were made: BirA* vs. BirA*-Casp2^C320G and BirA*_Erastin vs. BirA*- Casp2^C320G_Erastin. The R-package ggplot2 (v. 3.3.5) was used to visualize the results.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

All data generated and analyzed to evaluate the conclusions in this study are presented in this published article and its supplementary information files. All primary data can be made available from the corresponding authors upon reasonable request.

References

Kumar S. Caspase 2 in apoptosis, the DNA damage response and tumour suppression: enigma no more? Nat Rev Cancer. 2009;9:897–903.
Article CAS PubMed Google Scholar
Terry MR, Arya R, Mukhopadhyay A, Berrett KC, Clair PM, Witt B, et al. Caspase-2 impacts lung tumorigenesis and chemotherapy response in vivo. Cell Death Differ. 2015;22:719–30.
Article CAS PubMed Google Scholar
Parsons MJ, McCormick L, Janke L, Howard A, Bouchier-Hayes L, Green DR. Genetic deletion of caspase-2 accelerates MMTV/c-neu-driven mammary carcinogenesis in mice. Cell Death Differ. 2013;20:1174–82.
Article CAS PubMed PubMed Central Google Scholar
Dorstyn L, Hackett-Jones E, Nikolic A, Norris MD, Lim Y, Toubia J, et al. Transcriptome profiling of caspase-2 deficient EmuMyc and Th-MYCN mouse tumors identifies distinct putative roles for caspase-2 in neuronal differentiation and immune signaling. Cell Death Dis. 2019;10:56.
Article PubMed PubMed Central Google Scholar
Ho LH, Taylor R, Dorstyn L, Cakouros D, Bouillet P, Kumar S. A tumor suppressor function for caspase-2. Proc Natl Acad Sci USA. 2009;106:5336–41.
Article ADS CAS PubMed PubMed Central Google Scholar
Puccini J, Shalini S, Voss AK, Gatei M, Wilson CH, Hiwase DK, et al. Loss of caspase-2 augments lymphomagenesis and enhances genomic instability in Atm-deficient mice. Proc Natl Acad Sci USA. 2013;110:19920–5.
Article ADS CAS PubMed PubMed Central Google Scholar
Kumar S, White DL, Takai S, Turczynowicz S, Juttner CA, Hughes TP. Apoptosis regulatory gene NEDD2 maps to human chromosome segment 7q34-35, a region frequently affected in haematological neoplasms. Hum Genet. 1995;95:641–4.
Article CAS PubMed Google Scholar
Kim MS, Kim HS, Jeong EG, Soung YH, Yoo NJ, Lee SH. Somatic mutations of caspase-2 gene in gastric and colorectal cancers. Pathol Res Pr. 2011;207:640–4.
Article CAS Google Scholar
Kim MS, Chung NG, Yoo NJ, Lee SH. Somatic mutation of proapoptotic caspase-2 gene is rare in acute leukemias and common solid cancers. Eur J Haematol. 2011;86:449–50.
Article PubMed Google Scholar
Dawar S, Lim Y, Puccini J, White M, Thomas P, Bouchier-Hayes L, et al. Caspase-2-mediated cell death is required for deleting aneuploid cells. Oncogene. 2017;36:2704–14.
Article CAS PubMed Google Scholar
Dorstyn L, Puccini J, Nikolic A, Shalini S, Wilson CH, Norris MD, et al. An unexpected role for caspase-2 in neuroblastoma. Cell Death Dis. 2014;5:e1383.
Article CAS PubMed PubMed Central Google Scholar
Manzl C, Peintner L, Krumschnabel G, Bock F, Labi V, Drach M, et al. PIDDosome-independent tumor suppression by Caspase-2. Cell Death Differ. 2012;19:1722–32.
Article CAS PubMed PubMed Central Google Scholar
Shalini S, Puccini J, Wilson CH, Finnie J, Dorstyn L, Kumar S. Caspase-2 protects against oxidative stress in vivo. Oncogene. 2015;34:4995–5002.
Article CAS PubMed Google Scholar
Shalini S, Dorstyn L, Wilson C, Puccini J, Ho L, Kumar S. Impaired antioxidant defence and accumulation of oxidative stress in caspase-2-deficient mice. Cell Death Differ. 2012;19:1370–80.
Article CAS PubMed PubMed Central Google Scholar
Zhang Y, Padalecki SS, Chaudhuri AR, De Waal E, Goins BA, Grubbs B, et al. Caspase-2 deficiency enhances aging-related traits in mice. Mech Ageing Dev. 2007;128:213–21.
Article CAS PubMed Google Scholar
Trachootham D, Alexandre J, Huang P. Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach? Nat Rev Drug Discov. 2009;8:579–91.
Article CAS PubMed Google Scholar
Liu DS, Duong CP, Haupt S, Montgomery KG, House CM, Azar WJ, et al. Inhibiting the system xC(-)/glutathione axis selectively targets cancers with mutant-p53 accumulation. Nat Commun. 2017;8:14844.
Article ADS CAS PubMed PubMed Central Google Scholar
Dixon SJ, Lemberg KM, Lamprecht MR, Skouta R, Zaitsev EM, Gleason CE, et al. Ferroptosis: an iron-dependent form of nonapoptotic cell death. Cell. 2012;149:1060–72.
Article CAS PubMed PubMed Central Google Scholar
Olivier M, Hollstein M, Hainaut P. TP53 mutations in human cancers: origins, consequences, and clinical use. Cold Spring Harb Perspect Biol. 2010;2:a001008.
Article PubMed PubMed Central Google Scholar
Yang WS, SriRamaratnam R, Welsch ME, Shimada K, Skouta R, Viswanathan VS, et al. Regulation of ferroptotic cancer cell death by GPX4. Cell. 2014;156:317–31.
Article CAS PubMed PubMed Central Google Scholar
Colussi PA, Harvey NL, Kumar S. Prodomain-dependent nuclear localization of the caspase-2 (Nedd2) precursor. A novel function for a caspase prodomain. J Biol Chem. 1998;273:24535–42.
Cuervo AM, Wong E. Chaperone-mediated autophagy: roles in disease and aging. Cell Res. 2014;24:92–104.
Article CAS PubMed Google Scholar
Wu Z, Geng Y, Lu X, Shi Y, Wu G, Zhang M, et al. Chaperone-mediated autophagy is involved in the execution of ferroptosis. Proc Natl Acad Sci USA. 2019;116:2996–3005.
Article ADS CAS PubMed PubMed Central Google Scholar
Wilson CH, Shalini S, Filipovska A, Richman TR, Davies S, Martin SD, et al. Age-related proteostasis and metabolic alterations in Caspase-2-deficient mice. Cell Death Dis. 2015;6:e1615.
Article CAS PubMed Google Scholar
Tiwari M, Sharma LK, Vanegas D, Callaway DA, Bai Y, Lechleiter JD, et al. A nonapoptotic role for CASP2/caspase 2: modulation of autophagy. Autophagy. 2014;10:1054–70.
Article CAS PubMed PubMed Central Google Scholar
Tang D, Chen X, Kang R, Kroemer G. Ferroptosis: molecular mechanisms and health implications. Cell Res. 2021;31:107–25.
Article CAS PubMed Google Scholar
Dorstyn L, Puccini J, Wilson CH, Shalini S, Nicola M, Moore S, et al. Caspase-2 deficiency promotes aberrant DNA-damage response and genetic instability. Cell Death Differ. 2012;19:1288–98.
Article CAS PubMed PubMed Central Google Scholar
Oliver TG, Meylan E, Chang GP, Xue W, Burke JR, Humpton TJ, et al. Caspase-2-mediated cleavage of Mdm2 creates a p53-induced positive feedback loop. Mol Cell. 2011;43:57–71.
Article CAS PubMed PubMed Central Google Scholar
Ren K, Lu J, Porollo A, Du C. Tumor-suppressing function of caspase-2 requires catalytic site Cys-320 and site Ser-139 in mice. J Biol Chem. 2012;287:14792–802.
Article CAS PubMed PubMed Central Google Scholar
Bouchier-Hayes L, Oberst A, McStay GP, Connell S, Tait SW, Dillon CP, et al. Characterization of cytoplasmic caspase-2 activation by induced proximity. Mol Cell. 2009;35:830–40.
Article CAS PubMed PubMed Central Google Scholar
Bouchier-Hayes L. The role of caspase-2 in stress-induced apoptosis. J Cell Mol Med. 2010;14:1212–24.
Article CAS PubMed PubMed Central Google Scholar
Baliga BC, Read SH, Kumar S. The biochemical mechanism of caspase-2 activation. Cell Death Differ. 2004;11:1234–41.
Article CAS PubMed Google Scholar
Andersen JL, Johnson CE, Freel CD, Parrish AB, Day JL, Buchakjian MR, et al. Restraint of apoptosis during mitosis through interdomain phosphorylation of caspase-2. EMBO J. 2009;28:3216–27.
Article CAS PubMed PubMed Central Google Scholar
Tinel A, Tschopp J. The PIDDosome, a protein complex implicated in activation of caspase- 2 in response to genotoxic stress. Science. 2004;304:843–6.
Article ADS CAS PubMed Google Scholar
Baptiste-Okoh N, Barsotti AM, Prives C. A role for caspase 2 and PIDD in the process of p53-mediated apoptosis. Proc Natl Acad Sci USA. 2008;105:1937–42.
Article ADS CAS PubMed PubMed Central Google Scholar
Liu J, Kuang F, Kroemer G, Klionsky DJ, Kang R, Tang D. Autophagy-Dependent Ferroptosis: Machinery and Regulation. Cell Chem Biol. 2020;27:420–35.
Article PubMed PubMed Central Google Scholar
Bergeron L, Perez GI, Macdonald G, Shi L, Sun Y, Jurisicova A, et al. Defects in regulation of apoptosis in caspase-2-deficient mice. Genes Dev. 1998;12:1304–14.
Article CAS PubMed PubMed Central Google Scholar
O’Reilly LA, Ekert P, Harvey N, Marsden V, Cullen L, Vaux DL, et al. Caspase-2 is not required for thymocyte or neuronal apoptosis even though cleavage of caspase-2 is dependent on both Apaf-1 and caspase-9. Cell Death Differ. 2002;9:832–41.
Article PubMed Google Scholar
Lowe SW, Ruley HE, Jacks T, Housman DE. p53-dependent apoptosis modulates the cytotoxicity of anticancer agents. Cell. 1993;74:957–67.
Article CAS PubMed Google Scholar
Ceder S, Eriksson SE, Cheteh EH, Dawar S, Corrales Benitez M, Bykov VJN, et al. A thiol- bound drug reservoir enhances APR-246-induced mutant p53 tumor cell death. EMBO Mol Med. 2021;13:e10852.
Article CAS PubMed Google Scholar
Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12:357–60.
Article CAS PubMed PubMed Central Google Scholar
Anders S, Pyl PT, Huber W. HTSeq-a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31:166–9.
Article CAS PubMed Google Scholar
Robinson MD, Oshlack A. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 2010;11:R25.
Article PubMed PubMed Central Google Scholar
Law CW, Chen Y, Shi W, Smyth GK. voom: Precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biol. 2014;15:R29.
Article PubMed PubMed Central Google Scholar
Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA. 2005;102:15545–50.
Article ADS CAS PubMed PubMed Central Google Scholar
Perez-Riverol Y, Csordas A, Bai J, Bernal-Llinares M, Hewapathirana S, Kundu DJ, et al. The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. 2019;47:D442–D50.
Article CAS PubMed Google Scholar
Demichev V, Szyrwiel L, Yu F, Teo GC, Rosenberger G, Niewienda A, et al. dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts. Nat Commun. 2022;13:3944.
Article ADS CAS PubMed PubMed Central Google Scholar

Download references

Acknowledgements

We thank all the members of our laboratory for their discussions and useful comments. Specifically, we thank Karen Montgomery for help with dose–response experiments, and Metta Jenna from the Center for Advanced Histology and Microscopy core facility within Peter Mac, for help with live-cell imaging. Lastly, we thank GenScript for generating caspase-2 mutant constructs and the BirA*-Casp2^C320G construct.

Funding

This work was supported by a National Health and Medical Research Council (NHMRC) Project Grant #GNT1120293 and a Fellowship (MCRF16002) from the Department of Health and Human Services acting through the Victorian Cancer Agency Fellowship (NJC). SD is a recipient of a CASS Medicine-Science Foundation grant (9937) that funded RNA sequencing and BioID experiments.

Author information

Authors and Affiliations

Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
Swati Dawar, Mariana C. Benitez, Niko Thio, Sylvain Garciaz, Thomas D. Jackson, Julia V. Milne, Wayne A. Phillips & Nicholas J. Clemons
Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
Swati Dawar, Mariana C. Benitez, Thomas D. Jackson, Julia V. Milne, Wayne A. Phillips & Nicholas J. Clemons
Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, 5001, Australia
Yoon Lim & Sharad Kumar
The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
Toby A. Dite, Jumana M. Yousef & Laura F. Dagley
Department of Medical Biology, University of Melbourne, Parkville, VIC, 3052, Australia
Toby A. Dite, Jumana M. Yousef & Laura F. Dagley
Department of Surgery (St Vincent’s Hospital), The University of Melbourne, Parkville, VIC, 3010, Australia
Wayne A. Phillips
Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, 5000, Australia
Sharad Kumar

Authors

Swati Dawar
View author publications
You can also search for this author in PubMed Google Scholar
Mariana C. Benitez
View author publications
You can also search for this author in PubMed Google Scholar
Yoon Lim
View author publications
You can also search for this author in PubMed Google Scholar
Toby A. Dite
View author publications
You can also search for this author in PubMed Google Scholar
Jumana M. Yousef
View author publications
You can also search for this author in PubMed Google Scholar
Niko Thio
View author publications
You can also search for this author in PubMed Google Scholar
Sylvain Garciaz
View author publications
You can also search for this author in PubMed Google Scholar
Thomas D. Jackson
View author publications
You can also search for this author in PubMed Google Scholar
Julia V. Milne
View author publications
You can also search for this author in PubMed Google Scholar
Laura F. Dagley
View author publications
You can also search for this author in PubMed Google Scholar
Wayne A. Phillips
View author publications
You can also search for this author in PubMed Google Scholar
Sharad Kumar
View author publications
You can also search for this author in PubMed Google Scholar
Nicholas J. Clemons
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

SD conceptualized, designed the study, carried out most experiments, collected and analyzed data, MCB performed and analyzed dose–response assays in siRNA transfected cells, YL, carried out cell viability assay in MEF lines, contributed BioID reagents and provided technical advice, TD, JMY, LFD, provided technical advice on BioID, carried out mass spectrometry and data analysis, NT carried out RNA-sequencing data analysis, SG helped with performing an analysis of lipid peroxidation detection assay using flow cytometry, TDJ carried out Immunoblotting and cell viability assay for CMA experiment, JM carried out Immunoblotting repeats for CMA experiments, SK provided reagents and guidance, WP provided constructive feedback and guidance, NC supervised the study and interpreted the data, SD and NC drafted and edited the manuscript. All authors gave comments and approved the final manuscript.

Corresponding authors

Correspondence to Swati Dawar or Nicholas J. Clemons.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Edited by Professor Gerry Melino

Supplementary information

Supplementary Figure S1

Supplementary Figure S2

Supplementary Figure S3

Supplementary Figure S4

Supplementary Figure S5

Supplementary figure legends

Supplementary Table 1

Supplementary Table 2

Movie 1

Movie 2

Movie 3

Movie 4

Original western blots

Reporting Summary

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Dawar, S., Benitez, M.C., Lim, Y. et al. Caspase-2 protects against ferroptotic cell death. Cell Death Dis 15, 182 (2024). https://doi.org/10.1038/s41419-024-06560-6

Download citation

Received: 05 January 2024
Revised: 05 February 2024
Accepted: 13 February 2024
Published: 01 March 2024
DOI: https://doi.org/10.1038/s41419-024-06560-6