Abstract
Different modes of regulated cell death (RCD) can be initiated by distinct molecular machineries and their morphological manifestations can be difficult to discriminate. Moreover, cells responding to stress often activate an adaptive response centered around autophagy, and whether such a response is cytoprotective or cytotoxic cannot be predicted based on morphological parameters only. Molecular definitions are therefore important to understand various RCD subroutines from a mechanistic perspective. In vitro, various forms of RCD including apoptosis and autophagic cell death can be easily discriminated from each other with assays that involve chemical or pharmacological interventions targeting key components of either pathway. Here, we detail a straightforward method to discriminate apoptosis from autophagic cell death by flow cytometry, based on the broad-spectrum caspase inhibitor Z-VAD-fmk and the genetic inhibition of ATG5.
Access provided by CONRICYT – Journals CONACYT. Download protocol PDF
Similar content being viewed by others
Key words
- Autophagy
- Immunogenic cell death
- Mitochondrial outer membrane permeabilization
- Necrosis
- Mitochondrial permeability transition
- Necroptosis
1 Introduction
Cell death can be accidental, meaning that its course cannot be altered, or regulated, which means that it can be inhibited or at least retarded by specific pharmacological or genetic interventions [1–3]. Thus, at odds with its accidental counterpart, regulated cell death (RCD) is precipitated by the activation of a genetically encoded molecular machinery, which generally occurs once adaptive responses to stress fail [4–6]. As a notable exception to this tendency, programmed cell death (PCD) constitutes a peculiar case of RCD that is activated in a completely physiological manner, in the context of post-embryonic development or adult tissue homeostasis [1, 7].
During the past three decades, several systems for the classification of RCD have been proposed, based on morphological, biochemical, or functional features [8–14]. It soon became clear that defining RCD instances based on their morphology is rather inappropriate, because it suffers from a considerable degree of operator-dependency, and it does not convey any mechanistic information [15, 16]. Nowadays, a molecular classification of RCD, based on objectively quantifiable biochemical parameters, is favored [17]. Thus, apoptosis is currently defined as caspase-3-dependent variant of RCD, while autophagic cell death is defined as a form of RCD that mechanistically impinges on the molecular machinery for autophagy [17, 18]. However, detecting caspase-3 activation or any biochemical manifestations of autophagy in the course of RCD is not sufficient for defining it as apoptotic or autophagic. Indeed, caspase-3 activation occurs in several apoptosis -unrelated settings [19]. Along similar lines, the adaptive response of eukaryotic cells to stress often (if not always) involves an autophagic component, which generally supports (rather than compromises) the reestablishment of homeostasis and cell survival [20–22].
These observations imply that functional assays are required to properly identify apoptotic and autophagic instances of RCD, as well as other forms or RCD including necroptosis [23, 24]. While implementing such functional assays in vivo may be complicated, they can be carried out in vitro in a relatively straightforward manner, by appropriately combining (1) the detection of reliable indicators of cell death, and (2) the use of pharmacological or genetic interventions that inhibit caspase-3 or essential components of the autophagic machinery.
It is widely accepted that plasma membrane permeabilization (PMP) constitutes the most reliable (if not the only) marker of dead cells, at least in vitro [1]. Indeed, while several other biochemical processes can accompany (and be mechanistically involved in) RCD, most (if not all) of them: (1) are not universally associated with it; and (2) are not always irreversible. For instance, caspase-3 is activated not only during the terminal phases of apoptosis , but also in a reversible manner in the course of erythroid differentiation (to which it provides a critical contribution) [25]. Additional events that generally accompany RCD, such as mitochondrial outer membrane permeabilization (MOMP) and phosphatidylserine (PS) exposure, can be monitored to obtain kinetic insights into the process, but are inappropriate as sole biomarkers of cell death [5, 26]. In vitro, PMP, MOMP, and PS exposure can be conveniently measured by flow cytometry, after co-staining living cells with the exclusion dye propidium iodide (PI) and either the mitochondrial transmembrane potential (Δψm)-sensitive fluorophore 3,3'-dihexyloxacarbocyanine iodide (DiOC6(3)), or a fluorescent variant of the PS-binding protein annexin A5 (ANXA5, best known as AnnV) [27].
Several pharmacological agents have been developed to inhibit components of the apoptotic or autophagic machinery, and are now commercially available. For instance, the non-cleavable caspase substrate N-benzyloxycarbonyl-Val-Ala-Asp(O-Me) fluoromethylketone (Z-VAD-fmk) is commonly employed as an inhibitor of apoptosis [28, 29], while the phosphoinositide-3-kinase (PI3K) inhibitor 3-methyladenine (3-MA) can be used to block autophagic responses, which often rely on the PI3K-dependent synthesis of phosphatidylinositol-3-phosphate [30, 31]. Still, many of these compounds have specificity issues, warranting the use of targeted genetic tools, including RNA interference and the gene knockout technology. General recommendations for the implementation of appropriate assays involving RNA interference or knockout cells go beyond the scope of this chapter and can be found in the literature [32–34].
Here, we provide a detailed description of a simple, cytofluorometric assay for the discrimination of apoptotic and autophagic cell death in vitro, based on the simultaneous detection of PMP and MOMP exposure in human cancer cells responding to a lethal stimulus in normal conditions, in the presence of Z-VAD-fmk, or upon the small interfering RNA (siRNA)-mediated downregulation of ATG5 . With the appropriate variations, this protocol is suitable for the identification of apoptosis and autophagic cell death in most, if not all, cultured mammalian cells.
2 Materials
2.1 Disposables and Equipment
-
1.
6- and 12-well plates for cell culture.
-
2.
75 cm2 flasks for cell culture.
-
3.
5 mL, 12 × 75 mm FACS tubes.
-
4.
1.5 mL microcentrifuge tubes.
-
5.
15 and 50 mL conical centrifuge tubes.
-
6.
Cytofluorometer: FACScan or FACSVantage (BD, San Jose, USA) or equivalent, equipped with an argon ion laser emitting at 488 nm and controlled by the operational/analytical software CellQuest™ Pro (BD) or equivalent (see Note 1 ).
2.2 Cell Maintenance
-
1.
Complete growth medium for human osteosarcoma U2OS cells: Dulbecco modified Eagle’s medium (DMEM) containing 3.0 g/L d-glucose, 1.5 mM l-glutamine, supplemented with 100 mM 2-[4-(2-hydroxyethyl)piperazin-1-yl]ethanesulfonic acid (HEPES) buffer and 10 % fetal bovine serum (FBS) (see Note 2 ).
-
2.
Phosphate buffered saline (PBS, 1×): 137 mM NaCl, 2.7 mM KCl, 4.3 mM Na2HPO4, 1.4 mM KH2PO4 in deionized water (dH2O), adjust pH to 7.4 with 2 N NaOH.
-
3.
Trypsin–EDTA : 0.25 % trypsin–0.38 g/L (1 mM) EDTA × 4 Na+ in Hank’s balanced salt solution (see Note 3 ).
2.3 RNA Interference
-
1.
siUNR (sense 5′-GCCGGUAUGCCGGUUAAGUdTdT-3′), 100 μM stock solution in dH2O, stored at −20 °C (see Notes 4 and 5 ).
-
2.
siATG5 (sense 5′-UUUCUUCUUAGGCCAAAGGdTdT-3′), 100 μM, stock solution in dH2O, stored at −20 °C (see Notes 4 and 6 ).
-
3.
Transfection reagent: HiPerFect® or equivalent (see Note 7 ).
-
4.
Transfection medium: Opti-MEM® with Glutamax™ and phenol red (see Note 8 ).
2.4 Pharmacological Treatments and DiOC6(3)/PI Co-staining
-
1.
N-benzyloxycarbonyl-Val-Ala-Asp (O-Me) fluoromethylketone (Z-VAD-fmk): 20 mM stock solution in dimethylsulfoxide (DMSO), stored at −20 °C (see Note 9 ).
-
2.
Staurosporine (STS): 2 mM stock solution in DMSO, stored at −20 °C (see Note 10 ).
-
3.
3,3′-dihexyloxacarbocyanine iodide (DiOC6(3)) : 40 μM stock solution in 100 % ethanol,, stored at −20 °C under protection from light (see Notes 11 and 12 ).
-
4.
Propidium iodide (PI): 1 mg/mL stock solution in dH2O, stored at 4 °C under protection from light (see Notes 13 and 14 ).
3 Methods
3.1 Cell Maintenance
-
1.
U2OS cells are routinely maintained in complete growth medium within 75 cm2 flasks, in standard culture conditions (37 °C, 5 % CO2) (see Note 15 ).
-
2.
When the culture reach 70–80 % confluence (see Note 16 ), discard the supernatant by aspiration, wash gently adherent cells with pre-warmed PBS (see Note 17 ), and incubate them with ~3 mL 0.25 % (w/v) Trypsin–EDTA solution for 1–3 min at 37 °C (see Notes 19 ).
-
3.
As soon as cells are detached (see Note 20 ), add complete growth medium to the cell suspension (see Note 21 ).
-
4.
Maintenance cell cultures can be generated by transferring aliquots of the cell suspension to new 75 cm2 flasks, and propagated as described in steps 1–3 in Subheading 3.1 (see Notes 15 – 23 ).
-
5.
For RNA interference, seed 2.0 × 105 U2OS cells in 6-well plates, in 2 mL growth medium per well (see Note 24 ), and proceed to Subheading 3.2.
-
6.
For pharmacological treatments, seed 1.5 × 105 U2OS cells in 12-well plates, in 1 mL growth medium per well (see Note 25 ), and proceed to Subheading 3.3.
3.2 RNA Interference
-
1.
When cells reach a confluence of 40–60 % (see Note 26 ), dilute 50 pmol siRNA (final concentration in wells = 25 nM) in 62.5 μL Opti-MEM® (solution A), and 7.5 μL HiPerFect® in 55 μL Opti-MEM® (solution B), and allow both solutions to stand at RT for 5–10 min (see Note 27 ).
-
2.
Mix solution A and B gently, and incubate at RT additional for 15–20 min, to allow for the formation of HiPerFect®:siRNA transfection complexes (transfection solution) (see Notes 28 and 29 ).
-
3.
Replace growth medium with 1.875 mL complete growth medium.
-
4.
Add 125 μL of the transfection solution to each well (see Note 30 ), and incubate plates under standard culture conditions (37 °C, 5 % CO2).
-
5.
4–24 h later (see Notes 31 and 32 ), detach transfected cells (500 μL trypsin–EDTA per well), seed them in 12-well plates (0.8 × 105 cells in 1 mL growth medium per well) (see Note 25 ), and proceed to Subheading 3.3.
3.3 Pharmacological Treatments and DiOC6(3) /PI Co-staining
-
1.
24 h after seeding non-transfected U2OS cells, as described in step 6 in Subheading 3.1 (see Note 33 ), gently remove supernatant and substitute with 1 mL complete culture medium alone (or containing an equivalent amount of solvent, negative control condition), or supplemented with 1 μM STS (or the cell death inducer of choice), 50 μM Z-VAD-fmk (additional control condition), or 1 μM STS + 50 μM Z-VAD-fmk.
-
2.
Alternatively, 24 h after seeding transfected U2OS cells, as described in step 3 in Subheading 3.2 (see Note 33 ), gently remove supernatant and substitute with 1 mL complete culture medium alone (or containing an equivalent amount of solvent, negative control condition), or supplemented with 1 μM STS (or the cell death inducer of choice).
-
3.
When the stimulation period is over, collect culture supernatants in 5 mL FACS tubes (see Notes 34 and 35 ) and detach adherent cells with ~0.5 mL trypsin–EDTA , following a wash with ~0.5 mL pre-warmed PBS (see also steps 2 and 3 in Subheading 3.1, and Notes 17 – 19 ).
-
4.
Following complete detachment (see Note 20 ), add 1 mL complete growth medium to each well (see Note 21 ), and transfer cells to the FACS tube containing the corresponding supernatant.
-
5.
Spin down cell suspensions at 300 × g, RT, for 5 min.
-
6.
Discard supernatants, resuspend cells in 200–400 μL of staining solution (40 nM DiOC6(3) in complete growth medium) (see Notes 36 – 38 ), and incubate them for 20–30 min in the dark at 37 °C (5 % CO2) (see Note 39 ).
-
7.
Add PI to each sample at a final concentration of 1 μg/mL, and incubate samples for additional 2–5 min under protection from light (see Notes 40 and 41 ).
-
8.
Analyze samples on a conventional flow cytometer allowing for the simultaneous assessment of light scattering parameters (forward and side scatter, FSC and SSC) and fluorescence in two separate channels (e.g., green and red) (see Notes 42 – 45 ).
-
9.
Bona fide apoptotic cell death is retarded in the presence of Z-VAD-fmk, but normally accelerated upon the pharmacological or genetic inhibition of core components of the machinery for autophagy (see Fig. 1). Conversely, bona fide autophagic cell death is insensitive to Z-VAD-fmk, but can be retarded by the pharmacological or genetic inhibition of autophagy (not shown).
4 Notes
-
1.
The manufacturer recommends to periodically check flow rate, laser alignment and fluorescence stability, to ensure technical reliability from the instrument. Moreover, it is recommended to align/calibrate the cytometer with standard beads for flow cytometry, as per manufacturer’s recommendations, prior to each experimental session.
-
2.
Recommended for U2OS cells by the American Type Culture Collection (ATCC, Manassas, VA, USA).
-
3.
Under optimal storage conditions (−20 °C, protected from light), trypsin–EDTA is stable for at least 18 months. Repeated freeze-thawing should be avoided by storing the reagent in aliquots of 2–10 mL. Once thawed, the trypsin–EDTA is stable at 4 °C for approximately 2 weeks.
-
4.
According to the manufacturer, lyophilized siRNA are stable for at least 3 years if stored appropriately (−20 °C, protected from light). Under appropriate storage conditions reconstituted siRNA stock solution are stable for at least 6 months. We recommend storing the reagent in small aliquots (5–20 μL), to avoid repeated freeze-thawing.
-
5.
siUNR is a custom siRNA unrelated to the human and murine genome [35]. Other commercial or noncommercial siRNAs can be employed to generate appropriate negative control conditions for the siRNA-mediated downregulation of ATG5 .
-
6.
Core components of the autophagic machinery other than ATG5 , including ATG7 and beclin 1 (BECN1), can be targeted instead, or in parallel. Ideally, an instance of RCD should be tagged as autophagic if (1) it can be delayed by the genetic inhibition of at least two distinct components of the core machinery for autophagy ; or (2) it can be delayed by the knockdown/knockout of one component of the core autophagic machinery as well as by chemical inhibitors of autophagy [31].
-
7.
Several liposomal transfection reagents commercially available can substitute for HiPerFect®, including Oligofectamine™ (Gibco®-Life Technologies) and DharmaFECT™ (GE Dharmacon, Lafayette, CO, USA). Each of these reagents attains maximal efficacy with a specific transfection protocol.
-
8.
For most cell types, Opti-MEM® can be replaced by FBS-, antibiotic-, HEPES-, and sodium pyruvate-free growth medium.
-
9.
Under appropriate storage conditions (−20 °C, sealed and protected from light), undissolved Z-VAD-fmk is stable for at least 2 years. If stored at −20 °C and under protection from light, stock solutions are stable for at least 1 year. It is recommended to avoid repeated freeze-thawing by storing the reconstituted product in small aliquots (10–50 μL).
-
10.
According to the manufacturer, STS stock solutions are stable for at least 6 months, if stored at −20 °C and protected from light.
-
11.
If stored at −20 °C and protected from light, DiOC6(3) stock solution is stable for at least 12 months. Unnecessary exposure to light should be avoided to prevent photobleaching.
-
12.
DiOC6(3) exhibits excitation/emission peaks at 482/504 nm, respectively.
-
13.
Undissolved PI is stable for at least 12 months under standard storage conditions (at room temperature, and protected from light). PI stock solution is stable for at least 6 months, if stored at 4 °C and protected from light.
-
14.
PI exhibits excitation/emission peaks at: (1) 482/504 nm, respectively, in aqueous solution; and (2) 535/617 nm, respectively, when bound to DNA.
-
15.
The choice of the support for maintenance cultures (i.e., 25 cm2, 75 cm2, or 175 cm2 flasks) depends on the amount of cells needed for experimental determination and other factors (e.g., limited space within incubators). As an indication, a 75 cm2 flask of U2OS cells at 60–70 % confluence contains approximately 4–5 × 106 cells.
-
16.
Both under-confluence and over-confluence in maintenance cultures should be avoided, as the former may be associated with a considerable genetic drift in the cell population, and the latter may impose a metabolic burden that affects cell viability.
-
17.
This step ensures the removal of residual traces of FBS, which inactivates trypsin. Washing should not be protracted or harsh to avoid a sizeable loss of cells, especially for cell types that per se are relatively prone to detachment like human colorectal carcinoma HCT 116 cells.
-
18.
TrypLE™ Express can substitute for trypsin–EDTA . As compared to trypsin–EDTA , TrypLE™ Express exhibits improved stability at 4 °C and RT, and does not require inactivation.
-
19.
Optimal detachment time may vary from <1 min to several minutes, depending on cell type and culture conditions. As an indication most cancer cell lines are properly detached in 1–3 min. Over-trypsinization should be avoided, as it can result in cellular damage and/or phenotypic alterations.
-
20.
Detachment can be verified by visual inspection.
-
21.
Addition of complete growth medium at this step ensures the FBS-dependent inactivation of residual trypsin activity.
-
22.
The ATCC recommends to subculture U2OS cells at a ratio of 1:3–1:6. We observed that U2OS cells can be safely subcultured at a ratio 1:8 without noticeable shifts in phenotype and behavioral traits.
-
23.
As a general recommendation, immortalized cells should be kept in the exponential growth phase, and be maintained in culture for a limited, predetermined number of passages. This calls for a relatively large stock of cryopreserved cells.
-
24.
The amount of cells required to generate cultures that are suitable for transfection 24 h later vary quite considerably with cell type and culture conditions.
-
25.
The amount of cells required to generate cultures that are suitable for pharmacological treatment 24 h later vary quite considerably with cell type and culture conditions.
-
26.
In our experience, transfection efficacy drops remarkably when confluence >50 %.
-
27.
These conditions are appropriate for transfecting cells in 1 well of a 6-well plate. They can be readily scaled up to transfect several wells with the same transfection solution.
-
28.
The transfection solution may appear cloudy.
-
29.
Transfection is carried out entirely at RT under a common safety cabinet. However, it is a good practice to maintain siRNA stock solutions and HiPerFect® in ice bath (and to return them to storage conditions immediately after use).
-
30.
Transfection complexes have a very high affinity for the plasma membrane. They should therefore be added to wells dropwise and evenly (covering the whole surface of the growth medium), in order to avoid intra-well variations in transfection efficiency and potential toxicity.
-
31.
Transfection is generally rapid (<4 h), but cells can be allowed to reach 70–80 % confluence in 6-well plates prior to sub-culturing.
-
32.
Ideally, cells should be ready for treatment (see also Note 25 ) in 12-well plates as soon as the siRNA-mediated downregulation of ATG5 achieves maximal efficacy. ATG5 and most other proteins are optimally downregulated by siRNAs 48 h after transfection. However, checking transfection efficacy and kinetics by quantitative real-time PCR or immunoblotting in preliminary experiments is strongly recommended.
-
33.
Particularly sensitive cells may require prolonged adaptation times to resume sufficient proliferation.
-
34.
Confluence and general status should be verified on light microscopy before collection.
-
35.
Some forms or RCD are accompanied by the detachment of cells from the substrate. It is therefore important to collect supernatants (unless the experiment is designed as to include only viable cells) to avoid a considerable underestimation of cell death.
-
36.
Fluorochrome-containing solutions should be thoroughly mixed before use to eliminate precipitates. Moreover, they should be shielded from light to minimize photobleaching.
-
37.
At low concentrations (20–40 nM), DiOC6(3) rapidly accumulates within energized mitochondria in a virtually non-saturable fashion. To label all samples from the same experiment in a homogenous manner, we recommend to: (1) carefully remove supernatants (by aspiration and inversion of FACS tubes on paper); (2) employ a unique staining solution for all samples; (3) repeatedly and thoroughly mix the staining solution throughout the experiment; (4) employ an equal volume of staining solution for all samples; and (5) take particular care at avoiding cell clumps during labeling.
-
38.
At high concentrations (>100 nM), DiOC6(3) exhibit remarkable self-quenching, which renders it inappropriate to measure Δψm. Moreover, at high doses, DiOC6(3) may label other intracellular compartments, including the endoplasmic reticulum.
-
39.
Prolonged incubation with DiOC6(3) (>40 min) may be toxic for some cell types, while an excessively short labeling time (<20 min) may result in non-homogenous or incomplete staining. Preliminary experiments should address the toxicity of DiOC6(3) in the experimental setting of choice.
-
40.
As an alternative, PI can be added directly to the staining solution, at the final concentration of 0.5–1 μg/mL (see step 6, Subheading 3.3). Preliminary experiments to assess the toxicity of PI are recommended in this case.
-
41.
FSC and SSC reflect cell size and the so-called “refractive index,” respectively. The refractive index depends on various parameters, including cell shape and granularity.
-
42.
We generally employ channel FL1 for the detection of DiOC6(3) and channel FL3 for the detection of PI.
-
43.
If >30 samples must be analyzed, we suggest to carry out staining and acquisition on <24 samples at a time, to homogenize the exposure of cells to DiOC6(3) and PI.
-
44.
Two-color analyses are relatively straightforward and can be carried out on the flow cytometer proprietary software. Alternatively, several software packages for the analysis of cytofluorometric data are available online.
-
45.
To provide adequate statistical power, we recommend to acquire and analyze at least 10,000 events exhibiting normal FSC and SSC values per sample.
References
Galluzzi L, Bravo-San Pedro JM, Vitale I, Aaronson SA, Abrams JM, Adam D, Alnemri ES, Altucci L, Andrews D, Annicchiarico-Petruzzelli M, Baehrecke EH, Bazan NG, Bertrand MJ, Bianchi K, Blagosklonny MV, Blomgren K, Borner C, Bredesen DE, Brenner C, Campanella M, Candi E, Cecconi F, Chan FK, Chandel NS, Cheng EH, Chipuk JE, Cidlowski JA, Ciechanover A, Dawson TM, Dawson VL, De Laurenzi V, De Maria R, Debatin KM, Di Daniele N, Dixit VM, Dynlacht BD, El-Deiry WS, Fimia GM, Flavell RA, Fulda S, Garrido C, Gougeon ML, Green DR, Gronemeyer H, Hajnoczky G, Hardwick JM, Hengartner MO, Ichijo H, Joseph B, Jost PJ, Kaufmann T, Kepp O, Klionsky DJ, Knight RA, Kumar S, Lemasters JJ, Levine B, Linkermann A, Lipton SA, Lockshin RA, Lopez-Otin C, Lugli E, Madeo F, Malorni W, Marine JC, Martin SJ, Martinou JC, Medema JP, Meier P, Melino S, Mizushima N, Moll U, Munoz-Pinedo C, Nunez G, Oberst A, Panaretakis T, Penninger JM, Peter ME, Piacentini M, Pinton P, Prehn JH, Puthalakath H, Rabinovich GA, Ravichandran KS, Rizzuto R, Rodrigues CM, Rubinsztein DC, Rudel T, Shi Y, Simon HU, Stockwell BR, Szabadkai G, Tait SW, Tang HL, Tavernarakis N, Tsujimoto Y, Vanden Berghe T, Vandenabeele P, Villunger A, Wagner EF, Walczak H, White E, Wood WG, Yuan J, Zakeri Z, Zhivotovsky B, Melino G, Kroemer G (2015) Essential versus accessory aspects of cell death: recommendations of the NCCD 2015. Cell Death Differ 22(1):58–73. doi:10.1038/cdd.2014.137
Vanden Berghe T, Linkermann A, Jouan-Lanhouet S, Walczak H, Vandenabeele P (2014) Regulated necrosis: the expanding network of non-apoptotic cell death pathways. Nat Rev Mol Cell Biol 15(2):135–147. doi:10.1038/nrm3737
Linkermann A, Green DR (2014) Necroptosis. N Engl J Med 370(5):455–465. doi:10.1056/NEJMra1310050
Sica V, Galluzzi L, Bravo-San Pedro JM, Izzo V, Maiuri MC, Kroemer G (2015) Organelle-specific initiation of autophagy. Mol Cell 59(4):522–539. doi:10.1016/j.molcel.2015.07.021
Tait SW, Green DR (2010) Mitochondria and cell death: outer membrane permeabilization and beyond. Nat Rev Mol Cell Biol 11(9):621–632. doi:10.1038/nrm2952
Galluzzi L, Bravo-San Pedro JM, Kroemer G (2014) Organelle-specific initiation of cell death. Nat Cell Biol 16(8):728–736. doi:10.1038/ncb3005
Fuchs Y, Steller H (2011) Programmed cell death in animal development and disease. Cell 147(4):742–758. doi:10.1016/j.cell.2011.10.033
Galluzzi L, Maiuri MC, Vitale I, Zischka H, Castedo M, Zitvogel L, Kroemer G (2007) Cell death modalities: classification and pathophysiological implications. Cell Death Differ 14(7):1237–1243. doi:10.1038/sj.cdd.4402148
Garg AD, Martin S, Golab J, Agostinis P (2014) Danger signalling during cancer cell death: origins, plasticity and regulation. Cell Death Differ 21(1):26–38. doi:10.1038/cdd.2013.48
Krysko DV, Garg AD, Kaczmarek A, Krysko O, Agostinis P, Vandenabeele P (2012) Immunogenic cell death and DAMPs in cancer therapy. Nat Rev Cancer 12(12):860–875. doi:10.1038/nrc3380
Kroemer G, Galluzzi L, Kepp O, Zitvogel L (2013) Immunogenic cell death in cancer therapy. Annu Rev Immunol 31:51–72. doi:10.1146/annurev-immunol-032712-100008
Kaczmarek A, Vandenabeele P, Krysko DV (2013) Necroptosis: the release of damage-associated molecular patterns and its physiological relevance. Immunity 38(2):209–223. doi:10.1016/j.immuni.2013.02.003
Kepp O, Senovilla L, Vitale I, Vacchelli E, Adjemian S, Agostinis P, Apetoh L, Aranda F, Barnaba V, Bloy N, Bracci L, Breckpot K, Brough D, Buque A, Castro MG, Cirone M, Colombo MI, Cremer I, Demaria S, Dini L, Eliopoulos AG, Faggioni A, Formenti SC, Fucikova J, Gabriele L, Gaipl US, Galon J, Garg A, Ghiringhelli F, Giese NA, Guo ZS, Hemminki A, Herrmann M, Hodge JW, Holdenrieder S, Honeychurch J, Hu HM, Huang X, Illidge TM, Kono K, Korbelik M, Krysko DV, Loi S, Lowenstein PR, Lugli E, Ma Y, Madeo F, Manfredi AA, Martins I, Mavilio D, Menger L, Merendino N, Michaud M, Mignot G, Mossman KL, Multhoff G, Oehler R, Palombo F, Panaretakis T, Pol J, Proietti E, Ricci JE, Riganti C, Rovere-Querini P, Rubartelli A, Sistigu A, Smyth MJ, Sonnemann J, Spisek R, Stagg J, Sukkurwala AQ, Tartour E, Thorburn A, Thorne SH, Vandenabeele P, Velotti F, Workenhe ST, Yang H, Zong WX, Zitvogel L, Kroemer G, Galluzzi L (2014) Consensus guidelines for the detection of immunogenic cell death. Oncoimmunol 3(9):e955691. doi:10.4161/21624011.2014.955691
Linkermann A, Stockwell BR, Krautwald S, Anders HJ (2014) Regulated cell death and inflammation: an auto-amplification loop causes organ failure. Nat Rev Immunol 14(11):759–767. doi:10.1038/nri3743
Kroemer G, Galluzzi L, Vandenabeele P, Abrams J, Alnemri ES, Baehrecke EH, Blagosklonny MV, El-Deiry WS, Golstein P, Green DR, Hengartner M, Knight RA, Kumar S, Lipton SA, Malorni W, Nunez G, Peter ME, Tschopp J, Yuan J, Piacentini M, Zhivotovsky B, Melino G (2009) Classification of cell death: recommendations of the Nomenclature Committee on Cell Death 2009. Cell Death Differ 16(1):3–11. doi:10.1038/cdd.2008.150
Taylor RC, Cullen SP, Martin SJ (2008) Apoptosis: controlled demolition at the cellular level. Nat Rev Mol Cell Biol 9(3):231–241. doi:10.1038/nrm2312
Galluzzi L, Vitale I, Abrams JM, Alnemri ES, Baehrecke EH, Blagosklonny MV, Dawson TM, Dawson VL, El-Deiry WS, Fulda S, Gottlieb E, Green DR, Hengartner MO, Kepp O, Knight RA, Kumar S, Lipton SA, Lu X, Madeo F, Malorni W, Mehlen P, Nunez G, Peter ME, Piacentini M, Rubinsztein DC, Shi Y, Simon HU, Vandenabeele P, White E, Yuan J, Zhivotovsky B, Melino G, Kroemer G (2012) Molecular definitions of cell death subroutines: recommendations of the Nomenclature Committee on Cell Death 2012. Cell Death Differ 19(1):107–120. doi:10.1038/cdd.2011.96
Wirawan E, Vanden Berghe T, Lippens S, Agostinis P, Vandenabeele P (2012) Autophagy: for better or for worse. Cell Res 22(1):43–61. doi:10.1038/cr.2011.152
Galluzzi L, Kepp O, Trojel-Hansen C, Kroemer G (2012) Non-apoptotic functions of apoptosis-regulatory proteins. EMBO Rep 13(4):322–330. doi:10.1038/embor.2012.19
Mizushima N, Levine B, Cuervo AM, Klionsky DJ (2008) Autophagy fights disease through cellular self-digestion. Nature 451(7182):1069–1075. doi:10.1038/nature06639
Galluzzi L, Pietrocola F, Bravo-San Pedro JM, Amaravadi RK, Baehrecke EH, Cecconi F, Codogno P, Debnath J, Gewirtz DA, Karantza V, Kimmelman A, Kumar S, Levine B, Maiuri MC, Martin SJ, Penninger J, Piacentini M, Rubinsztein DC, Simon HU, Simonsen A, Thorburn AM, Velasco G, Ryan KM, Kroemer G (2015) Autophagy in malignant transformation and cancer progression. EMBO J 34(7):856–880. doi:10.15252/embj.201490784
Green DR, Levine B (2014) To be or not to be? How selective autophagy and cell death govern cell fate. Cell 157(1):65–75. doi:10.1016/j.cell.2014.02.049
Vanden Berghe T, Grootjans S, Goossens V, Dondelinger Y, Krysko DV, Takahashi N, Vandenabeele P (2013) Determination of apoptotic and necrotic cell death in vitro and in vivo. Methods 61(2):117–129. doi:10.1016/j.ymeth.2013.02.011
Jouan-Lanhouet S, Riquet F, Duprez L, Vanden Berghe T, Takahashi N, Vandenabeele P (2014) Necroptosis, in vivo detection in experimental disease models. Semin Cell Dev Biol 35:2–13. doi:10.1016/j.semcdb.2014.08.010
Zermati Y, Garrido C, Amsellem S, Fishelson S, Bouscary D, Valensi F, Varet B, Solary E, Hermine O (2001) Caspase activation is required for terminal erythroid differentiation. J Exp Med 193(2):247–254
Kepp O, Galluzzi L, Lipinski M, Yuan J, Kroemer G (2011) Cell death assays for drug discovery. Nat Rev Drug Discov 10(3):221–237. doi:10.1038/nrd3373
Galluzzi L, Aaronson SA, Abrams J, Alnemri ES, Andrews DW, Baehrecke EH, Bazan NG, Blagosklonny MV, Blomgren K, Borner C, Bredesen DE, Brenner C, Castedo M, Cidlowski JA, Ciechanover A, Cohen GM, De Laurenzi V, De Maria R, Deshmukh M, Dynlacht BD, El-Deiry WS, Flavell RA, Fulda S, Garrido C, Golstein P, Gougeon ML, Green DR, Gronemeyer H, Hajnoczky G, Hardwick JM, Hengartner MO, Ichijo H, Jaattela M, Kepp O, Kimchi A, Klionsky DJ, Knight RA, Kornbluth S, Kumar S, Levine B, Lipton SA, Lugli E, Madeo F, Malomi W, Marine JC, Martin SJ, Medema JP, Mehlen P, Melino G, Moll UM, Morselli E, Nagata S, Nicholson DW, Nicotera P, Nunez G, Oren M, Penninger J, Pervaiz S, Peter ME, Piacentini M, Prehn JH, Puthalakath H, Rabinovich GA, Rizzuto R, Rodrigues CM, Rubinsztein DC, Rudel T, Scorrano L, Simon HU, Steller H, Tschopp J, Tsujimoto Y, Vandenabeele P, Vitale I, Vousden KH, Youle RJ, Yuan J, Zhivotovsky B, Kroemer G (2009) Guidelines for the use and interpretation of assays for monitoring cell death in higher eukaryotes. Cell Death Differ 16(8):1093–1107. doi:10.1038/cdd.2009.44
Cain K, Inayat-Hussain SH, Couet C, Cohen GM (1996) A cleavage-site-directed inhibitor of interleukin-1 beta-converting enzyme-like proteases inhibits apoptosis in primary cultures of rat hepatocytes. Biochem J 314(Pt 1):27–32
Slee EA, Zhu H, Chow SC, MacFarlane M, Nicholson DW, Cohen GM (1996) Benzyloxycarbonyl-Val-Ala-Asp (OMe) fluoromethylketone (Z-VAD.FMK) inhibits apoptosis by blocking the processing of CPP32. Biochem J 315(Pt 1):21–24
Seglen PO, Gordon PB (1982) 3-Methyladenine: specific inhibitor of autophagic/lysosomal protein degradation in isolated rat hepatocytes. Proc Natl Acad Sci U S A 79(6):1889–1892
Klionsky DJ, Abdalla FC, Abeliovich H, Abraham RT, Acevedo-Arozena A, Adeli K, Agholme L, Agnello M, Agostinis P, Aguirre-Ghiso JA, Ahn HJ, Ait-Mohamed O, Ait-Si-Ali S, Akematsu T, Akira S, Al-Younes HM, Al-Zeer MA, Albert ML, Albin RL, Alegre-Abarrategui J, Aleo MF, Alirezaei M, Almasan A, Almonte-Becerril M, Amano A, Amaravadi R, Amarnath S, Amer AO, Andrieu-Abadie N, Anantharam V, Ann DK, Anoopkumar-Dukie S, Aoki H, Apostolova N, Arancia G, Aris JP, Asanuma K, Asare NY, Ashida H, Askanas V, Askew DS, Auberger P, Baba M, Backues SK, Baehrecke EH, Bahr BA, Bai XY, Bailly Y, Baiocchi R, Baldini G, Balduini W, Ballabio A, Bamber BA, Bampton ET, Banhegyi G, Bartholomew CR, Bassham DC, Bast RC Jr, Batoko H, Bay BH, Beau I, Bechet DM, Begley TJ, Behl C, Behrends C, Bekri S, Bellaire B, Bendall LJ, Benetti L, Berliocchi L, Bernardi H, Bernassola F, Besteiro S, Bhatia-Kissova I, Bi X, Biard-Piechaczyk M, Blum JS, Boise LH, Bonaldo P, Boone DL, Bornhauser BC, Bortoluci KR, Bossis I, Bost F, Bourquin JP, Boya P, Boyer-Guittaut M, Bozhkov PV, Brady NR, Brancolini C, Brech A, Brenman JE, Brennand A, Bresnick EH, Brest P, Bridges D, Bristol ML, Brookes PS, Brown EJ, Brumell JH, Brunetti-Pierri N, Brunk UT, Bulman DE, Bultman SJ, Bultynck G, Burbulla LF, Bursch W, Butchar JP, Buzgariu W, Bydlowski SP, Cadwell K, Cahova M, Cai D, Cai J, Cai Q, Calabretta B, Calvo-Garrido J, Camougrand N, Campanella M, Campos-Salinas J, Candi E, Cao L, Caplan AB, Carding SR, Cardoso SM, Carew JS, Carlin CR, Carmignac V, Carneiro LA, Carra S, Caruso RA, Casari G, Casas C, Castino R, Cebollero E, Cecconi F, Celli J, Chaachouay H, Chae HJ, Chai CY, Chan DC, Chan EY, Chang RC, Che CM, Chen CC, Chen GC, Chen GQ, Chen M, Chen Q, Chen SS, Chen W, Chen X, Chen YG, Chen Y, Chen YJ, Chen Z, Cheng A, Cheng CH, Cheng Y, Cheong H, Cheong JH, Cherry S, Chess-Williams R, Cheung ZH, Chevet E, Chiang HL, Chiarelli R, Chiba T, Chin LS, Chiou SH, Chisari FV, Cho CH, Cho DH, Choi AM, Choi D, Choi KS, Choi ME, Chouaib S, Choubey D, Choubey V, Chu CT, Chuang TH, Chueh SH, Chun T, Chwae YJ, Chye ML, Ciarcia R, Ciriolo MR, Clague MJ, Clark RS, Clarke PG, Clarke R, Codogno P, Coller HA, Colombo MI, Comincini S, Condello M, Condorelli F, Cookson MR, Coombs GH, Coppens I, Corbalan R, Cossart P, Costelli P, Costes S, Coto-Montes A, Couve E, Coxon FP, Cregg JM, Crespo JL, Cronje MJ, Cuervo AM, Cullen JJ, Czaja MJ, D'Amelio M, Darfeuille-Michaud A, Davids LM, Davies FE, De Felici M, de Groot JF, de Haan CA, De Martino L, De Milito A, De Tata V, Debnath J, Degterev A, Dehay B, Delbridge LM, Demarchi F, Deng YZ, Dengjel J, Dent P, Denton D, Deretic V, Desai SD, Devenish RJ, Di Gioacchino M, Di Paolo G, Di Pietro C, Diaz-Araya G, Diaz-Laviada I, Diaz-Meco MT, Diaz-Nido J, Dikic I, Dinesh-Kumar SP, Ding WX, Distelhorst CW, Diwan A, Djavaheri-Mergny M, Dokudovskaya S, Dong Z, Dorsey FC, Dosenko V, Dowling JJ, Doxsey S, Dreux M, Drew ME, Duan Q, Duchosal MA, Duff K, Dugail I, Durbeej M, Duszenko M, Edelstein CL, Edinger AL, Egea G, Eichinger L, Eissa NT, Ekmekcioglu S, El-Deiry WS, Elazar Z, Elgendy M, Ellerby LM, Eng KE, Engelbrecht AM, Engelender S, Erenpreisa J, Escalante R, Esclatine A, Eskelinen EL, Espert L, Espina V, Fan H, Fan J, Fan QW, Fan Z, Fang S, Fang Y, Fanto M, Fanzani A, Farkas T, Farre JC, Faure M, Fechheimer M, Feng CG, Feng J, Feng Q, Feng Y, Fesus L, Feuer R, Figueiredo-Pereira ME, Fimia GM, Fingar DC, Finkbeiner S, Finkel T, Finley KD, Fiorito F, Fisher EA, Fisher PB, Flajolet M, Florez-McClure ML, Florio S, Fon EA, Fornai F, Fortunato F, Fotedar R, Fowler DH, Fox HS, Franco R, Frankel LB, Fransen M, Fuentes JM, Fueyo J, Fujii J, Fujisaki K, Fujita E, Fukuda M, Furukawa RH, Gaestel M, Gailly P, Gajewska M, Galliot B, Galy V, Ganesh S, Ganetzky B, Ganley IG, Gao FB, Gao GF, Gao J, Garcia L, Garcia-Manero G, Garcia-Marcos M, Garmyn M, Gartel AL, Gatti E, Gautel M, Gawriluk TR, Gegg ME, Geng J, Germain M, Gestwicki JE, Gewirtz DA, Ghavami S, Ghosh P, Giammarioli AM, Giatromanolaki AN, Gibson SB, Gilkerson RW, Ginger ML, Ginsberg HN, Golab J, Goligorsky MS, Golstein P, Gomez-Manzano C, Goncu E, Gongora C, Gonzalez CD, Gonzalez R, Gonzalez-Estevez C, Gonzalez-Polo RA, Gonzalez-Rey E, Gorbunov NV, Gorski S, Goruppi S, Gottlieb RA, Gozuacik D, Granato GE, Grant GD, Green KN, Gregorc A, Gros F, Grose C, Grunt TW, Gual P, Guan JL, Guan KL, Guichard SM, Gukovskaya AS, Gukovsky I, Gunst J, Gustafsson AB, Halayko AJ, Hale AN, Halonen SK, Hamasaki M, Han F, Han T, Hancock MK, Hansen M, Harada H, Harada M, Hardt SE, Harper JW, Harris AL, Harris J, Harris SD, Hashimoto M, Haspel JA, Hayashi S, Hazelhurst LA, He C, He YW, Hebert MJ, Heidenreich KA, Helfrich MH, Helgason GV, Henske EP, Herman B, Herman PK, Hetz C, Hilfiker S, Hill JA, Hocking LJ, Hofman P, Hofmann TG, Hohfeld J, Holyoake TL, Hong MH, Hood DA, Hotamisligil GS, Houwerzijl EJ, Hoyer-Hansen M, Hu B, Hu CA, Hu HM, Hua Y, Huang C, Huang J, Huang S, Huang WP, Huber TB, Huh WK, Hung TH, Hupp TR, Hur GM, Hurley JB, Hussain SN, Hussey PJ, Hwang JJ, Hwang S, Ichihara A, Ilkhanizadeh S, Inoki K, Into T, Iovane V, Iovanna JL, Ip NY, Isaka Y, Ishida H, Isidoro C, Isobe K, Iwasaki A, Izquierdo M, Izumi Y, Jaakkola PM, Jaattela M, Jackson GR, Jackson WT, Janji B, Jendrach M, Jeon JH, Jeung EB, Jiang H, Jiang JX, Jiang M, Jiang Q, Jiang X, Jimenez A, Jin M, Jin S, Joe CO, Johansen T, Johnson DE, Johnson GV, Jones NL, Joseph B, Joseph SK, Joubert AM, Juhasz G, Juillerat-Jeanneret L, Jung CH, Jung YK, Kaarniranta K, Kaasik A, Kabuta T, Kadowaki M, Kagedal K, Kamada Y, Kaminskyy VO, Kampinga HH, Kanamori H, Kang C, Kang KB, Kang KI, Kang R, Kang YA, Kanki T, Kanneganti TD, Kanno H, Kanthasamy AG, Kanthasamy A, Karantza V, Kaushal GP, Kaushik S, Kawazoe Y, Ke PY, Kehrl JH, Kelekar A, Kerkhoff C, Kessel DH, Khalil H, Kiel JA, Kiger AA, Kihara A, Kim DR, Kim DH, Kim EK, Kim HR, Kim JS, Kim JH, Kim JC, Kim JK, Kim PK, Kim SW, Kim YS, Kim Y, Kimchi A, Kimmelman AC, King JS, Kinsella TJ, Kirkin V, Kirshenbaum LA, Kitamoto K, Kitazato K, Klein L, Klimecki WT, Klucken J, Knecht E, Ko BC, Koch JC, Koga H, Koh JY, Koh YH, Koike M, Komatsu M, Kominami E, Kong HJ, Kong WJ, Korolchuk VI, Kotake Y, Koukourakis MI, Kouri Flores JB, Kovacs AL, Kraft C, Krainc D, Kramer H, Kretz-Remy C, Krichevsky AM, Kroemer G, Kruger R, Krut O, Ktistakis NT, Kuan CY, Kucharczyk R, Kumar A, Kumar R, Kumar S, Kundu M, Kung HJ, Kurz T, Kwon HJ, La Spada AR, Lafont F, Lamark T, Landry J, Lane JD, Lapaquette P, Laporte JF, Laszlo L, Lavandero S, Lavoie JN, Layfield R, Lazo PA, Le W, Le Cam L, Ledbetter DJ, Lee AJ, Lee BW, Lee GM, Lee J, Lee JH, Lee M, Lee MS, Lee SH, Leeuwenburgh C, Legembre P, Legouis R, Lehmann M, Lei HY, Lei QY, Leib DA, Leiro J, Lemasters JJ, Lemoine A, Lesniak MS, Lev D, Levenson VV, Levine B, Levy E, Li F, Li JL, Li L, Li S, Li W, Li XJ, Li YB, Li YP, Liang C, Liang Q, Liao YF, Liberski PP, Lieberman A, Lim HJ, Lim KL, Lim K, Lin CF, Lin FC, Lin J, Lin JD, Lin K, Lin WW, Lin WC, Lin YL, Linden R, Lingor P, Lippincott-Schwartz J, Lisanti MP, Liton PB, Liu B, Liu CF, Liu K, Liu L, Liu QA, Liu W, Liu YC, Liu Y, Lockshin RA, Lok CN, Lonial S, Loos B, Lopez-Berestein G, Lopez-Otin C, Lossi L, Lotze MT, Low P, Lu B, Lu Z, Luciano F, Lukacs NW, Lund AH, Lynch-Day MA, Ma Y, Macian F, MacKeigan JP, Macleod KF, Madeo F, Maiuri L, Maiuri MC, Malagoli D, Malicdan MC, Malorni W, Man N, Mandelkow EM, Manon S, Manov I, Mao K, Mao X, Mao Z, Marambaud P, Marazziti D, Marcel YL, Marchbank K, Marchetti P, Marciniak SJ, Marcondes M, Mardi M, Marfe G, Marino G, Markaki M, Marten MR, Martin SJ, Martinand-Mari C, Martinet W, Martinez-Vicente M, Masini M, Matarrese P, Matsuo S, Matteoni R, Mayer A, Mazure NM, McConkey DJ, McConnell MJ, McDermott C, McDonald C, McInerney GM, McKenna SL, McLaughlin B, McLean PJ, McMaster CR, McQuibban GA, Meijer AJ, Meisler MH, Melendez A, Melia TJ, Melino G, Mena MA, Menendez JA, Menna-Barreto RF, Menon MB, Menzies FM, Mercer CA, Merighi A, Merry DE, Meschini S, Meyer CG, Meyer TF, Miao CY, Miao JY, Michels PA, Michiels C, Mijaljica D, Milojkovic A, Minucci S, Miracco C, Miranti CK, Mitroulis I, Miyazawa K, Mizushima N, Mograbi B, Mohseni S, Molero X, Mollereau B, Mollinedo F, Momoi T, Monastyrska I, Monick MM, Monteiro MJ, Moore MN, Mora R, Moreau K, Moreira PI, Moriyasu Y, Moscat J, Mostowy S, Mottram JC, Motyl T, Moussa CE, Muller S, Munger K, Munz C, Murphy LO, Murphy ME, Musaro A, Mysorekar I, Nagata E, Nagata K, Nahimana A, Nair U, Nakagawa T, Nakahira K, Nakano H, Nakatogawa H, Nanjundan M, Naqvi NI, Narendra DP, Narita M, Navarro M, Nawrocki ST, Nazarko TY, Nemchenko A, Netea MG, Neufeld TP, Ney PA, Nezis IP, Nguyen HP, Nie D, Nishino I, Nislow C, Nixon RA, Noda T, Noegel AA, Nogalska A, Noguchi S, Notterpek L, Novak I, Nozaki T, Nukina N, Nurnberger T, Nyfeler B, Obara K, Oberley TD, Oddo S, Ogawa M, Ohashi T, Okamoto K, Oleinick NL, Oliver FJ, Olsen LJ, Olsson S, Opota O, Osborne TF, Ostrander GK, Otsu K, Ou JH, Ouimet M, Overholtzer M, Ozpolat B, Paganetti P, Pagnini U, Pallet N, Palmer GE, Palumbo C, Pan T, Panaretakis T, Pandey UB, Papackova Z, Papassideri I, Paris I, Park J, Park OK, Parys JB, Parzych KR, Patschan S, Patterson C, Pattingre S, Pawelek JM, Peng J, Perlmutter DH, Perrotta I, Perry G, Pervaiz S, Peter M, Peters GJ, Petersen M, Petrovski G, Phang JM, Piacentini M, Pierre P, Pierrefite-Carle V, Pierron G, Pinkas-Kramarski R, Piras A, Piri N, Platanias LC, Poggeler S, Poirot M, Poletti A, Pous C, Pozuelo-Rubio M, Praetorius-Ibba M, Prasad A, Prescott M, Priault M, Produit-Zengaffinen N, Progulske-Fox A, Proikas-Cezanne T, Przedborski S, Przyklenk K, Puertollano R, Puyal J, Qian SB, Qin L, Qin ZH, Quaggin SE, Raben N, Rabinowich H, Rabkin SW, Rahman I, Rami A, Ramm G, Randall G, Randow F, Rao VA, Rathmell JC, Ravikumar B, Ray SK, Reed BH, Reed JC, Reggiori F, Regnier-Vigouroux A, Reichert AS, Reiners JJ Jr, Reiter RJ, Ren J, Revuelta JL, Rhodes CJ, Ritis K, Rizzo E, Robbins J, Roberge M, Roca H, Roccheri MC, Rocchi S, Rodemann HP, Rodriguez de Cordoba S, Rohrer B, Roninson IB, Rosen K, Rost-Roszkowska MM, Rouis M, Rouschop KM, Rovetta F, Rubin BP, Rubinsztein DC, Ruckdeschel K, Rucker EB 3rd, Rudich A, Rudolf E, Ruiz-Opazo N, Russo R, Rusten TE, Ryan KM, Ryter SW, Sabatini DM, Sadoshima J, Saha T, Saitoh T, Sakagami H, Sakai Y, Salekdeh GH, Salomoni P, Salvaterra PM, Salvesen G, Salvioli R, Sanchez AM, Sanchez-Alcazar JA, Sanchez-Prieto R, Sandri M, Sankar U, Sansanwal P, Santambrogio L, Saran S, Sarkar S, Sarwal M, Sasakawa C, Sasnauskiene A, Sass M, Sato K, Sato M, Schapira AH, Scharl M, Schatzl HM, Scheper W, Schiaffino S, Schneider C, Schneider ME, Schneider-Stock R, Schoenlein PV, Schorderet DF, Schuller C, Schwartz GK, Scorrano L, Sealy L, Seglen PO, Segura-Aguilar J, Seiliez I, Seleverstov O, Sell C, Seo JB, Separovic D, Setaluri V, Setoguchi T, Settembre C, Shacka JJ, Shanmugam M, Shapiro IM, Shaulian E, Shaw RJ, Shelhamer JH, Shen HM, Shen WC, Sheng ZH, Shi Y, Shibuya K, Shidoji Y, Shieh JJ, Shih CM, Shimada Y, Shimizu S, Shintani T, Shirihai OS, Shore GC, Sibirny AA, Sidhu SB, Sikorska B, Silva-Zacarin EC, Simmons A, Simon AK, Simon HU, Simone C, Simonsen A, Sinclair DA, Singh R, Sinha D, Sinicrope FA, Sirko A, Siu PM, Sivridis E, Skop V, Skulachev VP, Slack RS, Smaili SS, Smith DR, Soengas MS, Soldati T, Song X, Sood AK, Soong TW, Sotgia F, Spector SA, Spies CD, Springer W, Srinivasula SM, Stefanis L, Steffan JS, Stendel R, Stenmark H, Stephanou A, Stern ST, Sternberg C, Stork B, Stralfors P, Subauste CS, Sui X, Sulzer D, Sun J, Sun SY, Sun ZJ, Sung JJ, Suzuki K, Suzuki T, Swanson MS, Swanton C, Sweeney ST, Sy LK, Szabadkai G, Tabas I, Taegtmeyer H, Tafani M, Takacs-Vellai K, Takano Y, Takegawa K, Takemura G, Takeshita F, Talbot NJ, Tan KS, Tanaka K, Tang D, Tanida I, Tannous BA, Tavernarakis N, Taylor GS, Taylor GA, Taylor JP, Terada LS, Terman A, Tettamanti G, Thevissen K, Thompson CB, Thorburn A, Thumm M, Tian F, Tian Y, Tocchini-Valentini G, Tolkovsky AM, Tomino Y, Tonges L, Tooze SA, Tournier C, Tower J, Towns R, Trajkovic V, Travassos LH, Tsai TF, Tschan MP, Tsubata T, Tsung A, Turk B, Turner LS, Tyagi SC, Uchiyama Y, Ueno T, Umekawa M, Umemiya-Shirafuji R, Unni VK, Vaccaro MI, Valente EM, Van den Berghe G, van der Klei IJ, van Doorn W, van Dyk LF, van Egmond M, van Grunsven LA, Vandenabeele P, Vandenberghe WP, Vanhorebeek I, Vaquero EC, Velasco G, Vellai T, Vicencio JM, Vierstra RD, Vila M, Vindis C, Viola G, Viscomi MT, Voitsekhovskaja OV, von Haefen C, Votruba M, Wada K, Wade-Martins R, Walker CL, Walsh CM, Walter J, Wan XB, Wang A, Wang C, Wang D, Wang F, Wang G, Wang H, Wang HG, Wang HD, Wang J, Wang K, Wang M, Wang RC, Wang X, Wang YJ, Wang Y, Wang Z, Wang ZC, Wansink DG, Ward DM, Watada H, Waters SL, Webster P, Wei L, Weihl CC, Weiss WA, Welford SM, Wen LP, Whitehouse CA, Whitton JL, Whitworth AJ, Wileman T, Wiley JW, Wilkinson S, Willbold D, Williams RL, Williamson PR, Wouters BG, Wu C, Wu DC, Wu WK, Wyttenbach A, Xavier RJ, Xi Z, Xia P, Xiao G, Xie Z, Xu DZ, Xu J, Xu L, Xu X, Yamamoto A, Yamashina S, Yamashita M, Yan X, Yanagida M, Yang DS, Yang E, Yang JM, Yang SY, Yang W, Yang WY, Yang Z, Yao MC, Yao TP, Yeganeh B, Yen WL, Yin JJ, Yin XM, Yoo OJ, Yoon G, Yoon SY, Yorimitsu T, Yoshikawa Y, Yoshimori T, Yoshimoto K, You HJ, Youle RJ, Younes A, Yu L, Yu SW, Yu WH, Yuan ZM, Yue Z, Yun CH, Yuzaki M, Zabirnyk O, Silva-Zacarin E, Zacks D, Zacksenhaus E, Zaffaroni N, Zakeri Z, Zeh HJ 3rd, Zeitlin SO, Zhang H, Zhang HL, Zhang J, Zhang JP, Zhang L, Zhang MY, Zhang XD, Zhao M, Zhao YF, Zhao Y, Zhao ZJ, Zheng X, Zhivotovsky B, Zhong Q, Zhou CZ, Zhu C, Zhu WG, Zhu XF, Zhu X, Zhu Y, Zoladek T, Zong WX, Zorzano A, Zschocke J, Zuckerbraun B (2012) Guidelines for the use and interpretation of assays for monitoring autophagy. Autophagy 8(4):445–544
Fellmann C, Lowe SW (2014) Stable RNA interference rules for silencing. Nat Cell Biol 16(1):10–18. doi:10.1038/ncb2895
Poulin GB (2011) A guide to using RNAi and other nucleotide-based technologies. Brief Funct Genomics 10(4):173–174. doi:10.1093/bfgp/elr025
Shalem O, Sanjana NE, Zhang F (2015) High-throughput functional genomics using CRISPR-Cas9. Nat Rev Genet 16(5):299–311. doi:10.1038/nrg3899
de La Motte RT, Galluzzi L, Olaussen KA, Zermati Y, Tasdemir E, Robert T, Ripoche H, Lazar V, Dessen P, Harper F, Pierron G, Pinna G, Araujo N, Harel-Belan A, Armand JP, Wong TW, Soria JC, Kroemer G (2007) A novel epidermal growth factor receptor inhibitor promotes apoptosis in non-small cell lung cancer cells resistant to erlotinib. Cancer Res 67(13):6253–6262. doi:10.1158/0008-5472.CAN-07-0538
Acknowledgements
We are indebted to Dr. Ilio Vitale (Università di Roma “Tor Vergata”) for careful reading of the manuscript. Authors are supported by the Ligue contre le Cancer (équipe labellisée); Agence National de la Recherche (ANR); Association pour la recherche sur le cancer (ARC); Cancéropôle Ile-de-France; AXA Chair for Longevity Research; Institut National du Cancer (INCa); Fondation Bettencourt-Schueller; Fondation de France; Fondation pour la Recherche Médicale (FRM); the European Commission (ArtForce); the European Research Council (ERC); the LabEx Immuno-Oncology; the SIRIC Stratified Oncology Cell DNA Repair and Tumor Immune Elimination (SOCRATE); the SIRIC Cancer Research and Personalized Medicine (CARPEM); and the Paris Alliance of Cancer Research Institutes (PACRI).
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media New York
About this protocol
Cite this protocol
Sica, V., Maiuri, M.C., Kroemer, G., Galluzzi, L. (2016). Detection of Apoptotic Versus Autophagic Cell Death by Flow Cytometry. In: Puthalakath, H., Hawkins, C. (eds) Programmed Cell Death. Methods in Molecular Biology, vol 1419. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3581-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-4939-3581-9_1
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-3579-6
Online ISBN: 978-1-4939-3581-9
eBook Packages: Springer Protocols