Cuproptosis: Copper-Dependent Cell Death

Copper-dependent regulated cell death via lipoylated TCA-cycle proteins

Chris Mungall | AI-Assisted Gene Review

2026-06-22

Why Cuproptosis?

  • A recently defined form of regulated cell death, driven by direct binding
    of copper to lipoylated mitochondrial TCA-cycle proteins.
  • Mechanistically distinct from apoptosis, necroptosis, ferroptosis, and pyroptosis.
  • Sensitivity tracks with reliance on mitochondrial respiration — making it a
    fast-growing focus in cancer therapy and copper-overload disease.
  • Named and defined only in 2022 (Tsvetkov et al.), so literature and the
    corresponding GO annotations are still young and incomplete.
  • Parallels the existing Ferroptosis project as a metal-dependent
    regulated-cell-death pathway.

Key Biology / Mechanism

  1. Copper enters the cell and reaches mitochondria.
  2. The ferredoxin FDX1 reduces Cu²⁺ → Cu⁺.
  3. Cu⁺ binds lipoylated DLAT (E2 of the pyruvate dehydrogenase complex).
  4. DLAT undergoes disulfide-bond–dependent oligomerization / aggregation
    a hallmark of cuproptosis.
  5. Fe–S cluster proteins are destabilized.
  6. The resulting proteotoxic stress kills the cell.

FDX1 is also required for protein lipoylation — the very modification that
serves as the "bait" copper attacks.

The Approach: AI Gene Review

  • Systematically review existing GO annotations for each pathway gene using
    strict GO guidelines.
  • Synthesize with literature evidence and bioinformatic inference.
  • Distinguish core functions from over-annotation (e.g. generic "cell death"
    terms with only indirect support).
  • Scope ontology gaps for this new modality.
  • Status: SCOPING — gene folders still need setup
    (just fetch-gene human <GENE>).

Pathway Architecture

  • Copper delivery & homeostasis — set the threshold for cuproptosis
    (SLC31A1, ATP7A, ATP7B, ATOX1).
  • Copper reduction (the trigger) — FDX1 reduces Cu²⁺ → Cu⁺.
  • Protein lipoylation machinery — installs the lipoyl "bait"
    (LIAS, LIPT1, LIPT2, DLD).
  • Lipoylated targets (death effectors) — copper-attacked
    (DLAT, PDHA1, PDHB, GCSH).
  • Regulators & specificity controls — set sensitivity
    (MTF1, GLS, CDKN2A, FDX2).

Priority 1: Core Execution Machinery

Gene UniProt Function
FDX1 P10109 Cu²⁺→Cu⁺ reduction; master regulator; promotes lipoylation
LIAS O43766 Lipoyl synthase
LIPT1 Q9Y234 Lipoyltransferase 1
DLD P09622 Dihydrolipoamide dehydrogenase (E3)
DLAT P10515 Lipoylated PDH E2; copper-induced aggregation effector
PDHA1 P08559 Pyruvate dehydrogenase E1 alpha
PDHB P11177 Pyruvate dehydrogenase E1 beta

~7 genes — the direct executioners of cuproptosis.

Priority 2: Copper Handling & Regulation

Gene UniProt Function
SLC31A1 O15431 Copper importer (CTR1) — raises sensitivity
ATP7A Q04656 Copper exporter (Menkes) — lowers intracellular Cu
ATP7B P35670 Copper exporter (Wilson) — lowers intracellular Cu
ATOX1 O00244 Cytosolic copper chaperone
MTF1 Q14872 Metal-responsive TF; protective regulator
GLS O94925 Glutaminase; sensitivity modulator

~6 genes — they set the copper threshold and tune sensitivity.

Priority 3: Supporting / Specificity Genes

Gene UniProt Function
LIPT2 A6NK58 Lipoyl/octanoyl transferase 2
GCSH P23434 Lipoylated glycine cleavage H protein
CDKN2A P42771 Sensitivity modulator
FDX2 Q6P4F2 FDX1 paralog; non-redundant specificity control

~4 genes. Note: FDX2 does NOT substitute for FDX1 in cuproptosis — a useful
specificity control.

Key Recent Discoveries

  1. FDX1 = target of the copper ionophore elesclomol
    — Tsvetkov et al., Nat Chem Biol 2019 (PMID:31133756). Established the
    FDX1–copper axis in regulated cell death.
  2. Definition of cuproptosis
    — Tsvetkov et al., Science 2022 (PMID:35298263; erratum PMID:36356160).
    Genome-wide CRISPR screens identified FDX1 and the lipoylation pathway;
    showed copper binds lipoylated DLAT → aggregation + Fe–S cluster loss.
  3. Mechanistic / therapeutic syntheses
    — Tang, Chen & Kang, Mol Cell 2022 (PMID:35594843). Placed cuproptosis
    among regulated-cell-death pathways with cancer-therapy implications.

Disease & Therapeutic Relevance

  • Copper-handling disorders frame the homeostatic thresholds:
    • Wilson disease (ATP7B loss → copper overload)
    • Menkes disease (ATP7A loss → copper deficiency)
  • Cancer therapy:
    • Copper ionophores (elesclomol, disulfiram–Cu) selectively kill cells
      dependent on mitochondrial respiration / high lipoylation.
    • Copper chelators (e.g. tetrathiomolybdate) block cuproptosis.
  • Biomarker biology: FDX1 and lipoylation status are emerging predictors of
    cuproptosis susceptibility across tumor types.

Challenges: New Modality, GO Term Gaps

  • Is there (or should there be) a GO biological-process term for cuproptosis,
    analogous to GO:0097707 ferroptosis? Scope the ontology gap.
  • Are FDX1's two roles (Cu²⁺ reduction vs. promoting lipoylation) captured
    by distinct, appropriately specific MF/BP terms — or over-/under-annotated?
  • DLAT: distinguish its canonical acetyltransferase MF from its
    cuproptosis-effector behavior (copper-induced aggregation) — the latter is a
    process role, not a new MF.
  • Watch for over-annotation of every lipoylation/TCA gene with a generic
    "cell death" process term where experimental support is indirect.

Conclusions & Future Directions

  • Cuproptosis: copper-dependent regulated cell death executed via lipoylated
    TCA-cycle proteins
    and Fe–S cluster loss — a young, fast-moving field.
  • Curation target: ~17 genes across 3 priority tiers (core execution,
    copper handling, specificity controls).
  • Status: SCOPING. Next steps:
    • [ ] Gene folder setup (just fetch-gene human <GENE>)
    • [ ] Priority 1 genes (0/7), Priority 2 (0/6), Priority 3 (0/4)
    • [ ] Pathway summary + ontology-gap assessment
  • Parallels the Ferroptosis project as a metal-dependent cell-death pathway.