From Metabolic Flux to Protein Degradation: How Metabolic Enzymes and Protein Degradation Systems Jointly Regulate Cell Fate
From Metabolic Flux to Protein Degradation: How Metabolic Enzymes and Protein Degradation Systems Jointly Regulate Cell Fate
Abstract
Cell fate is determined not only by signaling cascades composed of receptors, kinases, and transcription factors, but also by two more fundamental regulatory processes. Metabolic enzymes control the direction and rate of nutrient conversion, thereby determining the energy, biosynthetic precursors, and reducing capacity available to the cell. Proteases and protein degradation systems control protein processing, activation, and clearance, thereby determining the abundance, activity, and lifespan of functional proteins.
These two systems do not operate independently. Metabolic states influence protein synthesis, folding, and degradation, whereas protein turnover reshapes metabolic flux by altering the abundance of metabolic enzymes, transcription factors, and organelles. By examining metabolic flux, protein degradation, and their bidirectional regulation, this article explains how these two systems jointly determine cell proliferation, stress adaptation, and cell death.
1 Metabolic Enzymes and Proteases Do Not Constitute a Single Signaling Pathway
1.1 What Do These Two Types of Enzymes Control?
According to the enzyme classification principles of the International Union of Biochemistry and Molecular Biology, enzymes are classified on the basis of the chemical reactions they catalyze. Metabolic enzymes catalyze the synthesis, degradation, and interconversion of small molecules, whereas proteases, in the strict sense, catalyze the hydrolysis of peptide bonds.
“Metabolic enzymes/proteases” do not constitute a linear pathway with a fixed starting point, endpoint, and order of signal transmission. Instead, they represent two interconnected cellular regulatory systems:
Regulatory system | Primary targets | Direct regulatory outcomes | Effects on cellular state |
Metabolic enzyme system | Glucose, fatty acids, amino acids, nucleotides, and cofactors | Alters metabolic routing, energy supply, and redox state | Determines whether the cell has the material resources required for growth, repair, and resistance to stress |
Proteases and protein degradation systems | Regulatory proteins, metabolic enzymes, misfolded proteins, protein complexes, and organelles | Alters protein activity, abundance, lifespan, and integrity | Determines which functional programs the cell executes and how long those programs persist |
Metabolic enzymes primarily determine “what the cell is able to use,” whereas protein degradation systems primarily determine “what the cell retains and executes.” Cell fate results from the coordinated action of these two regulatory systems.
1.2 Protein Degradation Is Not Equivalent to Protease Activity
Protein degradation is not independently completed by a single protease. In the ubiquitin–proteasome system, for example, a substrate must undergo recognition, ubiquitin tagging, delivery, unfolding, and hydrolysis. The autophagy–lysosome system additionally requires cargo selection, autophagosome formation, membrane fusion, and lysosomal hydrolysis.
The regulation of protein fate discussed in this article includes both proteases that directly catalyze peptide-bond cleavage and the complete protein degradation systems that determine whether a protein is recognized, tagged, delivered, and degraded.
2 How Metabolic Enzymes Alter Cellular State Through Metabolic Flux
2.1 Metabolic Flux Is Different from Metabolite Abundance
Metabolite abundance describes how much of a particular substance is present in a cell at a given time, whereas metabolic flux describes the rate at which material passes through a metabolic reaction per unit time.
If the production and consumption of a metabolite accelerate simultaneously, its intracellular abundance may remain largely unchanged even though the flux through that metabolite has increased. Conversely, metabolite accumulation may result either from increased production or from impaired downstream consumption. Static metabolomics alone therefore cannot determine the direction or rate of metabolic reactions and usually needs to be combined with stable-isotope tracing and metabolic flux analysis.
To understand the function of a metabolic enzyme, three questions should be addressed in sequence:
① What reaction does the enzyme catalyze?
② Which metabolic branch is altered by that reaction?
③ How does the change in metabolic flux affect energy production, biosynthetic precursors, or redox homeostasis?
2.2 Energy Production and Biosynthesis Must Both Be Supported
Glycolysis is an important pathway through which cells obtain energy and metabolic intermediates. Without detailing the individual intermediate reactions, its net reaction can be expressed as:
Glucose + 2 NAD⁺ + 2 ADP + 2 Pi → 2 pyruvate + 2 NADH + 2 H⁺ + 2 ATP + 2 H₂O
Here, NAD⁺ is oxidized nicotinamide adenine dinucleotide, ADP is adenosine diphosphate, Pi is inorganic phosphate, and ATP is adenosine triphosphate.
Pyruvate produced through glycolysis can be reduced to lactate or transported into mitochondria, where it is converted to acetyl coenzyme A and enters the tricarboxylic acid cycle. Intermediates of glucose metabolism can also be diverted into branches such as the pentose phosphate pathway, serine biosynthesis, and glycerolipid synthesis.
This illustrates that the role of a metabolic network is not limited to ATP production. Proliferating cells also require:
① Nucleotides for DNA and RNA synthesis;
② Amino acids for protein synthesis;
③ Fatty acids and cholesterol for the formation of membrane structures;
④ Reducing equivalents for biosynthesis and antioxidant reactions.
The maintenance of high glycolytic activity in rapidly proliferating cells does not necessarily indicate a loss of mitochondrial function. Increased glucose uptake and glycolytic flux can also support the diversion of metabolic intermediates into biosynthetic pathways. Consequently, after a metabolic enzyme is inhibited, a cell may stop proliferating because of insufficient nucleotide, lipid, or amino acid supply even before a marked decline in intracellular ATP becomes detectable.
2.3 Redox Metabolism Determines Whether Cells Can Limit Damage
Reactive oxygen species (ROS) are generated during mitochondrial respiration and various redox reactions. Moderate levels of ROS can participate in signal regulation, whereas excessive ROS can oxidize proteins, nucleic acids, and membrane lipids.
Cells rely mainly on reduced nicotinamide adenine dinucleotide phosphate (NADPH), reduced glutathione (GSH), and related antioxidant enzymes to maintain redox homeostasis. Glutathione peroxidase 4 (GPX4) uses GSH to reduce phospholipid hydroperoxides in cellular membranes to the corresponding phospholipid alcohols.
Phospholipid hydroperoxide + 2 molecules of GSH
→ catalyzed by GPX4 →
Phospholipid alcohol + GSSG + water
That is:
PLOOH + 2 GSH → PLOH + GSSG + H₂O
Catalyzing enzyme: GPX4
Where:
① PLOOH represents a phospholipid hydroperoxide, a damaging product of lipid peroxidation;
② PLOH represents a phospholipid alcohol, the reduced product of PLOOH;
③ GSH represents reduced glutathione;
④ GSSG represents oxidized glutathione;
⑤ H₂O represents water.
When GPX4 activity is inhibited, intracellular GSH supply is insufficient, or NADPH-dependent reducing systems are unable to sustain GSH regeneration, phospholipid hydroperoxides may not be removed efficiently. Peroxidation reactions can then propagate through membrane phospholipids containing polyunsaturated fatty acids, damaging membrane structure and function. Once the damage reaches a critical threshold, it can induce an iron-dependent form of regulated cell death known as ferroptosis.
RSL3 can covalently inhibit GPX4 activity and promote the accumulation of phospholipid peroxides. It is therefore commonly used to investigate GPX4-dependent defenses against lipid peroxidation and the process of ferroptosis.
This reaction demonstrates a direct connection between metabolic enzymes and cell fate. Metabolic regulation not only affects the rate of cell growth but also determines whether a cell can withstand specific forms of oxidative damage.
2.4 Metabolites Also Participate in Protein Modification and Gene Regulation
Some metabolites serve not only as substrates in metabolic reactions but also as donors or cofactors required for protein and chromatin modifications. For example:
① Acetyl coenzyme A provides acetyl groups for acetylation reactions;
② S-adenosylmethionine provides methyl groups for methylation reactions;
③ α-Ketoglutarate participates in reactions catalyzed by multiple dioxygenases;
④ NAD⁺ participates in reactions catalyzed by certain deacetylases and poly(ADP-ribose) polymerases.
Metabolic states can therefore influence protein activity, chromatin states, and gene expression by altering the availability of modification substrates and the conditions required for enzymatic reactions. In this way, metabolic networks constitute an important regulatory layer linking nutrient status to cellular function.
3 How Proteases and Protein Degradation Systems Control Protein Fate
3.1 The Ubiquitin–Proteasome System Mediates Selective Protein Degradation
The ubiquitin–proteasome system (UPS) is one of the major pathways responsible for selective intracellular protein degradation. It primarily removes short-lived regulatory proteins, misfolded proteins, and damaged proteins. Ubiquitin tagging is generally completed sequentially by the ubiquitin-activating enzyme E1, ubiquitin-conjugating enzyme E2, and ubiquitin ligase E3.
Step 1: E1 Uses ATP to Activate Ubiquitin
Ubiquitin + ATP + E1
→ ubiquitin-bound E1 + AMP + pyrophosphate
E1 uses ATP to activate ubiquitin and forms a high-energy thioester bond with ubiquitin.
Step 2: Ubiquitin Is Transferred from E1 to E2
Ubiquitin-bound E1 + E2
→ E1 + ubiquitin-bound E2
Ubiquitin is transferred from E1 to E2 and forms a thioester bond with the active site of E2.
Step 3: E3 Promotes the Conjugation of Ubiquitin to the Substrate Protein
Ubiquitin-bound E2 + substrate protein
→ through the action of E3 →
ubiquitinated substrate protein + E2
E3 is primarily responsible for recognizing specific substrates and promoting the conjugation of ubiquitin to those substrates. The carboxyl group of the C-terminal glycine of ubiquitin usually forms an isopeptide bond with the amino group of a lysine side chain in the substrate. Additional ubiquitin molecules can be conjugated sequentially to form different types of polyubiquitin chains.
The 26S Proteasome Completes Substrate Recognition, Unfolding, and Hydrolysis
Polyubiquitinated proteins carrying appropriate degradation signals can be recognized by the 26S proteasome. The 26S proteasome consists of one 20S catalytic core and one or two 19S regulatory particles.
Structural or functional module | Primary function |
19S regulatory particle | Recognizes ubiquitinated substrates, removes or edits ubiquitin chains, unfolds substrates, and translocates them into the 20S catalytic core |
AAA+ ATPase ring in the 19S particle | Uses energy released by ATP hydrolysis to unfold substrates and drive their entry into the 20S catalytic core |
Proteasome-associated deubiquitinases | Remove or edit ubiquitin chains before the substrate enters the 20S catalytic core, allowing ubiquitin to be recycled |
20S catalytic core | Hydrolyzes peptide bonds in substrate proteins and cleaves them into shorter peptides |
Process of Substrate Degradation by the 26S Proteasome
Polyubiquitinated substrate is recognized by the 19S regulatory particle
→ the ubiquitin chain is removed and recycled
→ ATP drives substrate unfolding
→ the unfolded substrate is translocated into the 20S catalytic core
→ the 20S catalytic core hydrolyzes peptide bonds and generates short peptides
The 19S regulatory particle is responsible for substrate recognition, deubiquitination, unfolding, and translocation, whereas the 20S catalytic core is responsible for proteolysis.
Ubiquitination is not equivalent to protein degradation. K48-linked polyubiquitin chains are common signals for proteasomal degradation. K11-linked chains and K11/K48-branched ubiquitin chains can also participate in proteasome-dependent degradation. Other ubiquitin chain types can regulate protein localization, signaling-complex assembly, DNA-damage responses, and membrane trafficking.
Whether a substrate is ultimately degraded depends on the structure and length of its ubiquitin chain, whether the substrate contains an initiation region that can enter the proteasome, and the recognition and processing state of the proteasome.
3.2 The Autophagy–Lysosome System Mediates Large-Scale Clearance and Recycling
Because substrates must first be unfolded before entering the catalytic chamber of the proteasome, the proteasome is not suitable for directly processing intact organelles or large protein aggregates. Such cargo is mainly cleared by the autophagy–lysosome system.
During macroautophagy, cytoplasmic cargo is enclosed by a double-membrane structure to form an autophagosome. The autophagosome subsequently fuses with a lysosome. Cathepsins and other acidic hydrolases within the lysosome degrade the cargo, and the resulting amino acids, fatty acids, and other small molecules can be reused.
Autophagy can process:
① Long-lived proteins and protein aggregates;
② Damaged mitochondria and other organelles;
③ Certain lipid droplets and membrane structures;
④ Pathogens that have invaded the intracellular environment.
The proteasome and the autophagy–lysosome system are not simply interchangeable. The proteasome is better suited to the rapid and precise regulation of individual proteins or relatively small substrates. The autophagy–lysosome system is better suited to processing large complexes, aggregates, and organelles and also performs an important nutrient-recycling function.
3.3 Limited Proteolysis Activates and Executes Signaling Programs
Proteolysis does not necessarily result in the complete elimination of a substrate. Many proteases cleave substrates only at specific sites, converting inactive precursors into active proteins or releasing fragments with new functions. This process is known as limited proteolysis.
Limited proteolysis participates in:
① Zymogen activation;
② Maturation of hormones and cytokines;
③ Blood coagulation;
④ Processing of receptors and transcription factors;
⑤ Cell-death processes such as apoptosis and pyroptosis.
Cysteine-dependent aspartate-specific proteases, or caspases, are typical examples. Initiator caspases are generally recruited to multiprotein complexes and activated through proximity-induced dimerization. Initiator caspases subsequently cleave and activate executioner caspases. Executioner caspases then cleave cytoskeletal proteins, DNA-repair proteins, and other critical substrates, thereby driving the apoptotic program to completion.
4 How Metabolic Flux and Protein Degradation Regulate Each Other

4.1 Metabolic State Determines the Capacity to Maintain Protein Homeostasis
Protein synthesis, folding, transport, and degradation all require metabolic support.
① Ubiquitin activation consumes ATP, and the AAA+ ATPases in the proteasome require ATP to drive substrate unfolding and translocation. When cellular energy is insufficient, protein quality-control capacity may become limited.
② Redox imbalance increases protein damage. Excessive ROS can oxidize amino acid side chains, cause protein misfolding, and disrupt protein complexes, thereby increasing the burden on molecular chaperones, proteasomes, and autophagy systems.
③ Nutrient and metabolite availability affects protein modifications such as glycosylation, acetylation, and methylation. These modifications may alter protein conformation, localization, interactions, and degradation rates.
Metabolic stress therefore does more than reduce energy or precursor availability. It can also disrupt protein homeostasis by increasing the burden of damaged proteins and weakening the capacity for their clearance.
4.2 Protein Turnover Reshapes Metabolic Flux
Metabolic enzymes are themselves proteins that require continuous renewal. Changes in the degradation rate of a key metabolic enzyme may directly alter the catalytic capacity and metabolic flux of the corresponding reaction.
Protein degradation can also reshape metabolism through the following mechanisms:
① Regulating metabolic enzyme abundance by altering the half-lives of rate-limiting enzymes or key branch-point enzymes;
② Regulating transcription factors and kinases, thereby simultaneously changing the expression or activity of multiple metabolic enzymes;
③ Removing damaged organelles, because mitochondrial quality control directly affects oxidative phosphorylation, fatty acid oxidation, and ROS production;
④ Recycling amino acids, because amino acids released by proteolysis can be reused for protein synthesis or enter energy metabolism and biosynthetic pathways.
The outcome of protein degradation is therefore not limited to “a reduction in the abundance of a particular protein.” It may also result in redistribution across the entire metabolic network.
4.3 AMPK and mTORC1 Coordinate Synthesis and Degradation
AMP-activated protein kinase (AMPK) and mechanistic target of rapamycin complex 1 (mTORC1) are major regulators that connect energy status, nutrient availability, and protein homeostasis.
When cellular energy is insufficient, AMPK activity increases. AMPK promotes catabolic pathways that support ATP restoration and inhibits certain energy-intensive biosynthetic processes. AMPK can also promote autophagy by phosphorylating the autophagy-initiating kinase ULK1.
When amino acids, energy, and growth factors are abundant, mTORC1 generally promotes protein synthesis and cell growth while inhibiting autophagy initiation. During nutrient deprivation or when mTORC1 is inhibited, autophagy is more readily activated.
The central relationships can be summarized as follows:
Adequate nutrients and energy
→ mTORC1 activation
→ promotion of protein synthesis and inhibition of autophagy initiation
Energy deficiency
→ AMPK activation
→ inhibition of energy-intensive biosynthesis and promotion of catabolism and autophagy
This coordinated mechanism enables cells to adjust the balance between “synthesizing new material” and “degrading existing material” according to resource availability.
4.4 Protein Degradation Can Also Be Regulated Upstream of the Proteasome
Neural precursor cell expressed, developmentally downregulated 8 (NEDD8) is a ubiquitin-like protein. NEDD8 modification of cullin proteins enhances the activity of Cullin–RING ubiquitin ligases (CRLs), thereby promoting the ubiquitination of specific substrates.
MLN4924, also known as pevonedistat, inhibits the NEDD8-activating enzyme (NAE), reduces cullin neddylation and CRL activity, and causes the accumulation of certain CRL substrates.
This mechanism demonstrates that altering protein degradation does not necessarily require direct inhibition of the proteasome. Substrate recognition, ubiquitin-like modifications, and E3 ligase activity are also important regulatory points.
5 How the Two Systems Jointly Determine Cell Fate
5.1 Cell Proliferation Requires Coordination Between Metabolic Supply and Protein Turnover
For a cell to complete one round of division, two conditions must be met simultaneously.
On the one hand, the metabolic network must provide ATP, nucleotides, lipids, and amino acids. On the other hand, cyclins, replication-licensing factors, and checkpoint proteins must be produced and removed in the correct temporal sequence.
If metabolic resources are insufficient, the cell cannot complete biomass duplication even if growth signals remain active. If protein turnover is disrupted, the cell cycle may arrest or abnormal replication may occur even when sufficient precursors are available.
Cell proliferation is therefore not simply switched on by a particular growth-signaling pathway. It depends on the coordination of biosynthetic capacity, metabolic supply, and protein turnover.
5.2 Stress Adaptation Depends on Reducing Consumption and Increasing Recycling
During short-term nutrient deprivation, hypoxia, or protein damage, cells commonly first reduce energy-intensive biosynthetic activity while increasing material recycling and quality-control capacity.
Major changes during this phase include:
① Reduced protein and lipid synthesis;
② Mobilization of glycogen, lipids, amino acids, or other stored resources;
③ Recycling of cellular components through autophagy;
④ Increased antioxidant capacity and damage-repair activity;
⑤ Removal of damaged proteins and organelles.
If the stress is resolved, cellular homeostasis may be restored. If energy deficiency, lipid peroxidation, or protein damage continues to worsen, adaptive responses may fail, and the cell may enter arrest, senescence, or death.
5.3 Imbalances at Different Regulatory Nodes Can Cause Different Forms of Cell Death
Reduced cell viability is only an endpoint phenotype and does not identify the specific mechanism of cell death. Dysregulation of metabolic enzymes and proteolytic systems can cause cell death through different pathways.
Major site of dysregulation | Key molecular changes | Potential cell-death mechanism |
Activation of the apoptotic execution system | Sequential activation of initiator and executioner caspases | Apoptosis |
Failure of GPX4-mediated defense | Persistent accumulation of phospholipid peroxides | Ferroptosis |
Severe proteasome inhibition | Accumulation of ubiquitinated and misfolded proteins | Proteotoxic stress and secondary cell death |
Persistent mitochondrial damage | Insufficient ATP production, increased ROS, and disruption of metabolic intermediates | May induce multiple forms of cell death |
Autophagy–lysosome dysfunction | Inefficient clearance of damaged organelles and aggregated proteins | Chronic stress, inflammation, or increased susceptibility to cell death |
Different forms of regulated cell death can interact with one another. Reliable identification of a death mechanism cannot be based solely on cell morphology or a single biomarker. Instead, the mechanism should be established on the basis of essential molecular events, pharmacological rescue experiments, and genetic evidence.
6 How to Establish Reliable Experimental Evidence
6.1 Studies of Metabolic Enzymes Must Demonstrate Changes in Metabolic Flux
An increase or decrease in the expression of a metabolic enzyme does not prove that the rate of the corresponding metabolic reaction changes in the same direction.
Enzyme activity is also influenced by:
Substrate and cofactor availability;
Allosteric regulation;
Post-translational modifications;
Subcellular localization;
Feedback inhibition;
Compensation by isoenzymes.
A complete body of evidence should include three levels:
Level of evidence | Primary question | Common measurements |
Target-level evidence | Has the target enzyme been effectively perturbed? | Protein expression, enzyme activity, gene knockdown, or gene knockout |
Metabolic evidence | Have metabolite abundance, pathway activity, and actual substrate routing changed? | Metabolomics, ATP, NADPH, lactate, respiration measurements, stable-isotope tracing, and metabolic flux analysis |
Functional evidence | Does the metabolic change cause the phenotype of interest? | Assays of proliferation, differentiation, migration, immune function, or cell death |
6.2 Studies of Protein Degradation Must Distinguish Synthesis from Clearance
Protein abundance is jointly determined by the rates of protein synthesis and degradation. An increase in the abundance of a protein after treatment may result from:
① Increased transcription;
② Enhanced translation;
③ Prolonged protein half-life;
④ Altered subcellular localization;
⑤ Changes in protein-complex formation or modification state.
Demonstrating a protein-degradation mechanism usually requires assessing:
① Whether the protein half-life changes;
② Whether proteasome or lysosome inhibition prevents the decline in protein abundance;
③ Whether the substrate undergoes ubiquitination or other degradation-associated modifications;
④ Whether a candidate E3 ligase, deubiquitinase, or protease is involved;
⑤ Whether mutation of a degradation site or recognition sequence stabilizes the protein;
⑥ Whether stabilization of the protein restores the downstream phenotype.
A relatively complete causal relationship can be established only when the change in degradation of the target protein is shown to occur before the phenotype and when blocking that degradation produces functional rescue.
6.3 Small-Molecule Tools Should Be Combined with Genetic and Rescue Experiments
Research objective | Representative tool | Primary action | Key consideration when interpreting results |
Reduce glucose metabolism | 2-Deoxy-D-glucose (2-DG) | Is phosphorylated by hexokinase and subsequently interferes with glycolysis | 2-DG can also interfere with N-linked glycosylation; its effects cannot be attributed entirely to ATP depletion |
Inhibit GPX4 | RSL3 | Promotes the accumulation of phospholipid peroxides | Ferroptosis inhibitors and lipid-peroxidation measurements should be used for rescue and validation |
Temporarily block the proteasome | MG-132 | Inhibits the proteolytic activity of the proteasome | Protein accumulation does not necessarily mean that the protein is a direct proteasomal substrate |
Inhibit NEDD8 activation | MLN4924 | Inhibits NAE and reduces CRL activity | Its effects involve multiple CRL substrates; a direct relationship with the target substrate must be established |
2-DG can cause glycolytic stress, interfere with N-linked glycosylation, and induce endoplasmic reticulum stress. Its effects therefore cannot be explained simply as the result of glycolytic inhibition.
Reliable mechanistic studies should integrate three mutually supportive forms of evidence:
Pharmacological intervention + genetic intervention + functional rescue and direct biochemical measurements
Small-molecule treatments allow rapid control over the timing and dose of an intervention but may produce multi-target effects. Gene knockdown or knockout provides clearer target specificity but may induce long-term compensatory responses. Functional rescue experiments are used to determine whether the target molecule truly lies within the causal pathway.
6.4 Temporal Order Is Essential for Establishing Causality
Metabolic changes, disruption of protein homeostasis, and cell death generally do not occur simultaneously. A common sequence is:
Change in target activity
→ change in metabolite abundance or protein half-life
→ disruption of energy balance, redox homeostasis, or protein homeostasis
→ cell-cycle, stress-response, and cell-death phenotypes
Examining only a single late time point can lead to the misinterpretation of secondary changes as initiating mechanisms. Experiments should therefore include early, intermediate, and late time points to distinguish initiating events, adaptive responses, secondary damage, and irreversible cell-death processes.
7 Classification and Research Applications of Representative Compounds Related to the Regulation of Cell Fate by Metabolic Enzymes and Proteases
Table 1. Metabolic Flux, Mitochondrial Bioenergetics, and Nutrient Sensing
Category | CAS No. | Aladdin Cat. No. | Name | Specification or Purity | Product Features and Applications |
Glycolysis regulation | 154-17-6 | 2-Deoxy-D-glucose | ≥98% | A glucose analog that interferes with glycolysis after phosphorylation and may also affect N-linked glycosylation; used in studies of energy stress, metabolic reprogramming, autophagic responses, and cell survival. | |
Lactate metabolism | 565-73-1 | Sodium oxamate | ≥98% | A pyruvate analog commonly used to inhibit lactate dehydrogenase and lactate production; used to study terminal glycolytic flux, lactate metabolism, acidic tumor microenvironments, and metabolic compensation. | |
Mitochondrial pyruvate transport | 56396-35-1 | UK-5099, mitochondrial pyruvate carrier (MPC) inhibitor | Moligand™, ≥98% | Inhibits the mitochondrial pyruvate carrier and restricts pyruvate entry into mitochondria; used to study the coupling of glycolysis to the tricarboxylic acid cycle, mitochondrial respiration, and metabolic reprogramming. | |
Glutamine metabolism | 1439399-58-2 | CB-839 | Moligand™, ≥98% | Inhibits glutaminase 1 and reduces glutamine catabolism; used to study glutamine dependence, anaplerotic replenishment of the tricarboxylic acid cycle, glutathione synthesis, and metabolic adaptation. | |
Fatty acid oxidation | 124083-20-1 | Etomoxir | Moligand™, ≥98% | Inhibits carnitine palmitoyltransferase 1 and restricts the entry of long-chain fatty acids into mitochondria; used to study fatty acid oxidation dependence, energy-substrate selection, and metabolic compensation. | |
Mitochondrial respiratory chain | 83-79-4 | Rotenone | Moligand™, ≥95% | Inhibits mitochondrial electron transport chain complex I, reduces mitochondrial respiration, and increases oxidative stress; used in studies of mitochondrial function, reactive oxygen species generation, and cell death. | |
Adenosine triphosphate synthesis | 579-13-5 | Oligomycin A from Streptomyces diastatochromogenes | EnzymoPure™, ≥97% | Inhibits mitochondrial adenosine triphosphate synthase and restricts energy production through oxidative phosphorylation; used to study cellular respiration, compensatory glycolysis, sources of adenosine triphosphate, and energy dependence. | |
Oxidative phosphorylation uncoupling | 370-86-5 | Carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone (FCCP) | Moligand™, ≥98% (TLC) | A protonophore-type mitochondrial uncoupler that dissipates the proton gradient and mitochondrial membrane potential; used to study maximal respiratory capacity, respiratory reserve, and mitochondrial membrane potential. | |
Energy sensing | 2627-69-2 | Acadesine | Moligand™, ≥98% | Converted intracellularly into an adenylate analog and commonly used to activate AMP-activated protein kinase-related responses; used to study energy stress, catabolism, autophagy, and metabolic adaptation. | |
Nutrient sensing and anabolism | 53123-88-9 | Rapamycin | Moligand™, ≥98% (HPLC) | Forms a complex with an immunophilin and allosterically inhibits mechanistic target of rapamycin complex 1; used to study protein synthesis, autophagy initiation, cell growth, and nutrient sensing. | |
Nutrient sensing and anabolism | 1222998-36-8 | T129642 | Torin 1, mTOR inhibitor | Moligand™, ≥97% | Competitively inhibits mechanistic target of rapamycin kinase and can inhibit both mTOR complex 1 and complex 2; used in studies of anabolism, protein translation, autophagy, and cell growth. |
Table 2. Redox Homeostasis and Ferroptosis
Category | CAS No. | Aladdin Cat. No. | Name | Specification or Purity | Product Features and Applications |
Glutathione and antioxidant defense | 616-91-1 | N-Acetyl-L-cysteine (NAC) | PharmPure™, USP, Moligand™, European Pharmacopoeia (Ph. Eur.), ≥98.5% | A cysteine donor and thiol-based reducing agent that can support glutathione synthesis; used to study oxidative stress, protein oxidation, mitochondrial damage, and rescue from ferroptosis. | |
Inhibition of glutathione synthesis | 83730-53-4 | L-Buthionine sulfoximine (L-BSO) | ≥95% | Inhibits glutamate–cysteine ligase and reduces cellular glutathione levels; used to study antioxidant capacity, drug sensitivity, lipid peroxidation, and ferroptosis. | |
Ferroptosis induction | 571203-78-6 | Erastin | Moligand™, ≥99% | Inhibits the cystine/glutamate antiporter, thereby limiting cystine uptake and glutathione synthesis; used to study ferroptosis induction, redox vulnerability, and nutrient dependence. | |
Ferroptosis induction | 1219810-16-8 | RSL3, glutathione peroxidase 4 (GPX4) inhibitor | Moligand™, ≥98% | Inhibits glutathione peroxidase 4 function and promotes the accumulation of phospholipid peroxides; used to study ferroptosis induction, lipid peroxidation, and antioxidant defense mechanisms. | |
Ferroptosis inhibition | 347174-05-4 | Ferrostatin-1 (Fer-1), ferroptosis inhibitor | Moligand™, ≥99% | A radical-trapping antioxidant that suppresses lipid peroxidation chain reactions in cellular membranes; used in ferroptosis rescue experiments, cell-death mechanism determination, and lipid-peroxidation control experiments. | |
Ferroptosis inhibition | 950455-15-9 | Liproxstatin-1 | Moligand™, ≥97% | Suppresses the propagation of lipid peroxidation and protects cellular membrane structure; used to study ferroptosis rescue, ischemia–reperfusion injury, and oxidative cell death. | |
Iron homeostasis and ferroptosis inhibition | 138-14-7 | Deferoxamine mesylate | ≥98% | Chelates labile iron and reduces iron-dependent oxidative reactions; used to study cellular iron homeostasis, hydroxyl radical generation, lipid peroxidation, and rescue from ferroptosis. |
Table 3. Ubiquitin–Proteasome System and Ubiquitin-Like Modifications
Category | CAS No. | Aladdin Cat. No. | Name | Specification or Purity | Product Features and Applications |
Proteasome inhibition | 133407-82-6 | MG-132, reversible proteasome inhibitor | Moligand™, ≥98% | A reversible peptide aldehyde proteasome inhibitor; used to determine whether a target protein undergoes proteasomal degradation and to detect the accumulation of ubiquitinated proteins and changes in protein half-life. | |
Proteasome inhibition | 179324-69-7 | Bortezomib (PS-341), reversible proteasome inhibitor | Moligand™, ≥98% | A reversible boronic acid-based proteasome inhibitor that primarily inhibits the chymotrypsin-like activity of the proteasome; used to study protein turnover, proteotoxic stress, the cell cycle, and cell death. | |
Proteasome inhibition | 868540-17-4 | Carfilzomib | Moligand™, ≥99% | An irreversible epoxyketone proteasome inhibitor that primarily inhibits chymotrypsin-like activity; used to study protein turnover, proteotoxic stress, and cell death. | |
Proteasome inhibition | 133343-34-7 | Lactacystin | Moligand™, ≥98% | Covalently inhibits the proteasome through its active β-lactone product; used to verify proteasome-dependent protein turnover and to study antigen processing and protein quality control. | |
Proteasome inhibition | 134381-21-8 | Epoxomicin | ≥97% | An irreversible epoxyketone proteasome inhibitor; used to study proteasome catalytic activity, substrate accumulation, antigen processing, and protein quality control. | |
Initiation of ubiquitination | 418805-02-4 | PYR-41, ubiquitin-activating enzyme (E1) inhibitor | ≥99% | Inhibits the ubiquitin-activating enzyme and blocks initiation of the ubiquitination cascade; used to study ubiquitination-dependent degradation, protein stability, and inflammatory signaling. | |
Initiation of ubiquitination | 1450833-55-2 | TAK-243 (MLN7243) | ≥97% | A mechanism-based ubiquitin-activating enzyme 1 inhibitor that reduces intracellular ubiquitin conjugates; used to study ubiquitination initiation, proteotoxic stress, the cell cycle, and DNA-damage responses. | |
Deubiquitination regulation | 2645-32-1 | PR-619, DUB inhibitor | ≥98% | A broad-spectrum deubiquitinase inhibitor that alters ubiquitin-chain removal and editing; used to study protein stability, ubiquitin signaling, mitophagy, and stress responses. | |
NEDD8 modification | 905579-51-3 | MLN4924, NEDD8-activating enzyme inhibitor | Moligand™, ≥98% | Inhibits the NEDD8-activating enzyme, reduces Cullin–RING ubiquitin ligase activity, and causes the accumulation of associated substrates; used to study protein stability, the cell cycle, and protein homeostasis. |
Table 4. Autophagy–Lysosome System and Intracellular Proteases
Category | CAS No. | Aladdin Cat. No. | Name | Specification or Purity | Product Features and Applications |
Inhibition of autophagy initiation | 5142-23-4 | 3-Methyladenine | Autophagy inhibitor | Inhibits phosphatidylinositol 3-kinases and is commonly used for short-term blockade of autophagosome formation; used to study autophagy initiation, nutrient deprivation, energy stress, and cell death. | |
Inhibition of autophagy initiation | 19545-26-7 | Wortmannin | Moligand™, ≥98% | Irreversibly inhibits phosphatidylinositol 3-kinases and interferes with autophagy initiation and membrane trafficking; used to study autophagosome formation, nutrient responses, and growth-factor signaling. | |
Late-stage autophagy and lysosomal function | 50-63-5 | Chloroquine phosphate | ≥99% | Accumulates in acidic organelles, raises lysosomal pH, and inhibits the degradation of autophagic cargo; used to study autophagic flux, lysosomal function, and organelle quality control. | |
Late-stage autophagy and lysosomal acidification | 88899-55-2 | Bafilomycin A1 | ≥95% | Inhibits vacuolar-type proton pumps, thereby blocking lysosomal acidification and the degradation of autophagosomal contents; used to study autophagic flux, lysosomal acidification, and protein recycling. | |
Lysosomal proteolysis | 103476-89-7 | Leupeptin | UltraBio™, ≥95% (HPLC), microbial | Reversibly inhibits trypsin-like serine proteases and certain cysteine proteases; used for protein protection in lysates and in studies of lysosomal proteolysis and autophagic cargo clearance. | |
Cysteine proteases | 66701-25-5 | E-64, cysteine protease inhibitor | Moligand™, ≥99%, protease inhibitor | Irreversibly inhibits papain-like cysteine proteases; used to study cathepsins, calpains, and proteolytic activity. | |
Intracellular cysteine proteases | 88321-09-9 | E-64d, irreversible cell-permeable cathepsin B and L inhibitor | Moligand™, ≥98%, protease inhibitor | A cell-permeable, irreversible cysteine protease inhibitor; used to study intracellular cathepsins, calpains, lysosomal degradation, and late-stage autophagy. | |
Aspartic proteases | 26305-03-3 | Pepstatin | Moligand™, ≥75% (HPLC) | Inhibits aspartic proteases such as pepsin and cathepsin D; used to study lysosomal proteolysis, protease activity, and protection of proteins in biological samples. | |
Cathepsin B | 147859-80-1 | CA-074 methyl ester | ≥97% | A cell-permeable cathepsin B inhibitor; used to study lysosomal membrane permeabilization, inflammasomes, autophagic cargo processing, and cell death. | |
Calpains | 117591-20-5 | Calpeptin | Moligand™, ≥95% | A cell-permeable calpain inhibitor that can also affect certain cathepsins; used to study calcium-dependent proteolysis, cytoskeletal remodeling, inflammation, and cell death. |
Table 5. Caspases and Extracellular Matrix Proteases
Category | CAS No. | Aladdin Cat. No. | Name | Specification or Purity | Product Features and Applications |
Broad-spectrum caspase inhibition | 187389-52-2 | Z-VAD(OMe)-FMK, cell-permeable irreversible pan-caspase inhibitor | Moligand™, ≥98% | A cell-permeable, irreversible broad-spectrum caspase inhibitor; used to verify caspase-dependent apoptosis and to study transitions between apoptosis, necroptosis, and other forms of cell death. | |
Broad-spectrum caspase inhibition | 1135695-98-5 | Q-VD-OPh, irreversible broad-spectrum caspase inhibitor | ≥95%, mixture of isomers | A cell-permeable, irreversible broad-spectrum caspase inhibitor; used in apoptosis rescue experiments, determination of caspase dependence, and cell-survival studies. | |
Executioner caspase inhibition | 169332-60-9 | Ac-DEVD-CHO, caspase-3 inhibitor | Moligand™, ≥97% | A tetrapeptide aldehyde executioner-caspase inhibitor commonly used to inhibit caspase-3 and caspase-7; used to study the execution phase of apoptosis and substrate cleavage. | |
Inflammatory caspase inhibition | 273404-37-8 | Belnacasan (VX-765) | Moligand™, ≥98% | A prodrug of a caspase-1 inhibitor that can suppress IL-1β and IL-18 maturation and Gasdermin D cleavage; used to study inflammasomes, inflammatory cytokine release, and pyroptosis. | |
Matrix metalloproteinases | 142880-36-2 | GM 6001, broad-spectrum MMP inhibitor | Moligand™, ≥98% | A hydroxamate-based broad-spectrum matrix metalloproteinase inhibitor; used to study extracellular matrix degradation, cell invasion and migration, receptor shedding, and tissue remodeling. | |
Matrix metalloproteinases | 130370-60-4 | Batimastat | Moligand™, ≥98% | A hydroxamate-based broad-spectrum matrix metalloproteinase inhibitor that binds to the catalytic center of metalloproteinases; used to study tumor invasion, extracellular matrix degradation, angiogenesis, and tissue remodeling. |
Note: The products listed above are representative Aladdin products intended for scientific research and formulation studies. Additional product specifications, grades, and certificate of analysis information can be retrieved from the Aladdin website using the product name, CAS number, or catalog number.
References
[1] Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB). Enzyme nomenclature [EB/OL]. London: Queen Mary University of London, 2026-06-03 [2026-07-14].
[2] Buescher JM, Antoniewicz MR, Boros LG, et al. A roadmap for interpreting ¹³C metabolite labeling patterns from cells [J]. Current Opinion in Biotechnology, 2015, 34: 189–201. DOI: 10.1016/j.copbio.2015.02.003.
[3] Vander Heiden MG, Cantley LC, Thompson CB. Understanding the Warburg effect: the metabolic requirements of cell proliferation [J]. Science, 2009, 324: 1029–1033. DOI: 10.1126/science.1160809.
[4] Yang WS, SriRamaratnam R, Welsch ME, et al. Regulation of ferroptotic cancer cell death by GPX4 [J]. Cell, 2014, 156: 317–331. DOI: 10.1016/j.cell.2013.12.010.
[5] Mishima E, Nakamura T, Doll S, et al. Recommendations for robust and reproducible research on ferroptosis [J]. Nature Reviews Molecular Cell Biology, 2025, 26: 615–630. DOI: 10.1038/s41580-025-00843-2.
[6] Dikic I, Schulman BA. An expanded lexicon for the ubiquitin code [J]. Nature Reviews Molecular Cell Biology, 2023, 24: 273–287. DOI: 10.1038/s41580-022-00543-1.
[7] Arkinson C, Dong KC, Gee CL, et al. Mechanisms and regulation of substrate degradation by the 26S proteasome [J]. Nature Reviews Molecular Cell Biology, 2025, 26: 104–122. DOI: 10.1038/s41580-024-00778-0.
[8] Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) [J]. Autophagy, 2021, 17: 1–382. DOI: 10.1080/15548627.2020.1797280.
[9] Gonzalez Ramirez ML, Salvesen GS. A primer on caspase mechanisms [J]. Seminars in Cell & Developmental Biology, 2018, 82: 79–85. DOI: 10.1016/j.semcdb.2018.01.002.
[10] Kim J, Kundu M, Viollet B, et al. AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1 [J]. Nature Cell Biology, 2011, 13: 132–141. DOI: 10.1038/ncb2152.
[11] Soucy TA, Smith PG, Milhollen MA, et al. An inhibitor of NEDD8-activating enzyme as a new approach to treat cancer [J]. Nature, 2009, 458: 732–736. DOI: 10.1038/nature07884.
[12] Xi H, Kurtoglu M, Liu H, et al. 2-Deoxy-D-glucose activates autophagy via endoplasmic reticulum stress rather than ATP depletion [J]. Cancer Chemotherapy and Pharmacology, 2011, 67: 899–910. DOI: 10.1007/s00280-010-1391-0.
[13] Galluzzi L, Vitale I, Aaronson SA, et al. Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018 [J]. Cell Death & Differentiation, 2018, 25: 486–541. DOI: 10.1038/s41418-017-0012-4.
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