Not just apoptosis
BioAtlas treats apoptosis, ferroptosis, necroptosis, pyroptosis, autophagy, mitophagy, senescence, immunogenic cell death, and related death architectures as connected biological systems.
PCD Intelligence
Programmed cell death mapped as systems-state intelligence.
BioAtlas treats programmed cell death as a core biological intelligence layer, not a single oncology subsection. The public PCD layer explains how death, survival, repair, disposal, immune visibility, inflammation, metabolism, cell state, biomarkers, and oncology subtype context connect into governed systems intelligence.
41
canonical PCD systems
6
six-layer PCD architecture
75
PCD-to-cell index records
999
PCD-cell matrix edges
206
cell inverse-index records
377
oncology subtype availability
1,094
pharma PCD-metabolic records
84
PCD source files
Why PCD intelligence matters
Programmed cell death is one of the deepest decision layers in biology. It helps determine whether cells exit cleanly, inflame, persist, recycle, adapt, become visible to immunity, or remain in damaged survival states. BioAtlas maps PCD because disease behaviour often depends on death, survival, repair, disposal, and immune-recognition logic.
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Why PCD intelligence matters
Programmed cell death is one of the deepest decision layers in biology. It helps determine whether cells exit cleanly, inflame, persist, recycle, adapt, become visible to immunity, or remain in damaged survival states. BioAtlas maps PCD because disease behaviour often depends on death, survival, repair, disposal, and immune-recognition logic.
Death and survival decisions
PCD intelligence helps frame how cells respond to stress, injury, inflammation, immune pressure, metabolic strain, drug exposure, tissue context, and repair demands.
Public-safe interpretation
The public page explains PCD architecture and relationship logic. It does not diagnose disease, recommend interventions, provide protocols, or personalise clinical decisions.
Six-layer PCD architecture
BioAtlas has organised programmed cell death into a six-layer architecture for public-safe explanation. Deeper source workbooks, governed registers, graph exports, protocol context, and clinical review material remain protected.
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Six-layer PCD architecture
BioAtlas has organised programmed cell death into a six-layer architecture for public-safe explanation. Deeper source workbooks, governed registers, graph exports, protocol context, and clinical review material remain protected.
Identity and targeting
Defines canonical programmed cell death systems, aliases, grouped identity, disease context, and targetable biological surfaces before deeper interpretation begins.
Mechanism and threshold
Maps the signalling thresholds, trigger logic, stress responses, survival/death decisions, and switching behaviour that determine whether a cell exits, persists, adapts, or inflames.
ECS, GPCR, and ligand context
Connects PCD behaviour with ECS tone, GPCR signalling, ligand environments, receptor context, inflammatory signalling, and host regulatory state.
Epigenetic and miRNA context
Links cell death availability to miRNA regulation, epigenetic control, cellular identity, chromatin context, gene-expression pressure, and state memory.
Therapeutics and protocols
Public-safe orientation around therapeutic relevance, research context, intervention classes, protocol references, and protected review boundaries without giving public treatment instructions.
Disease, clinical, and biomarker navigation
Connects PCD systems to disease-state orientation, oncology subtype context, biomarkers, cell states, immune visibility, tissue behaviour, and reviewed-access navigation.
PCD families and regulated death systems
The public PCD page introduces major regulated cell death families without reducing them to treatment claims. Each system is presented as a biological coordination layer inside wider tissue, immune, metabolic, and disease-state context.
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PCD families and regulated death systems
The public PCD page introduces major regulated cell death families without reducing them to treatment claims. Each system is presented as a biological coordination layer inside wider tissue, immune, metabolic, and disease-state context.
Apoptosis
Structured interpretation of controlled cellular exit, survival evasion, tumour persistence, immune visibility, caspase logic, and failure-to-remove patterns.
Ferroptosis
Connects iron-dependent lipid peroxidation, redox stress, mitochondrial pressure, glutathione context, membrane vulnerability, and metabolic-state sensitivity.
Necroptosis
Frames inflammatory programmed necrosis, immune signalling, tissue-damage context, RIPK/MLKL-style logic, and cell-death inflammation bridges.
Pyroptosis
Maps inflammatory cell death, inflammasome logic, gasdermin-style execution, immune activation, cytokine release, and host-response amplification.
Autophagy and mitophagy
Connects cellular recycling, mitochondrial quality control, nutrient stress, survival adaptation, damage clearance, and context-dependent death/survival behaviour.
Senescence and immunogenic death
Links persistent cell states, immune visibility, tissue signalling, inflammatory memory, therapy pressure, and regulated disposal or immune-recognition logic.
PCD-cell matrix
BioAtlas connects programmed cell death systems to cell-state intelligence through PCD-to-cell records, cell inverse-index records, and a PCD-cell effect matrix. This helps explain how death/survival logic differs across immune cells, stromal cells, epithelial contexts, tissue systems, repair states, and disease environments.
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PCD-cell matrix
BioAtlas connects programmed cell death systems to cell-state intelligence through PCD-to-cell records, cell inverse-index records, and a PCD-cell effect matrix. This helps explain how death/survival logic differs across immune cells, stromal cells, epithelial contexts, tissue systems, repair states, and disease environments.
999 PCD-cell edges
The public-safe summary represents a large PCD-cell relationship surface. It explains the architecture without exposing raw internal matrices or protected source files.
206 cell records
Cell intelligence connects PCD with surfaceome context, immune-cell maps, stress/senescence states, tissue identity, and systems crosswalks.
75 PCD-cell index records
The PCD-side index helps route each death system toward relevant cell effects, confidence bands, biological systems, and review pathways.
Oncology subtype and cohort context
PCD is central to oncology because tumour systems often adapt by suppressing disposal, altering immune visibility, resisting regulated death, changing stress thresholds, and reshaping tissue response. BioAtlas links PCD intelligence into oncology subtype availability, cohort intelligence, hallmark logic, metabolic overlays, and protected graph review.
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Oncology subtype and cohort context
PCD is central to oncology because tumour systems often adapt by suppressing disposal, altering immune visibility, resisting regulated death, changing stress thresholds, and reshaping tissue response. BioAtlas links PCD intelligence into oncology subtype availability, cohort intelligence, hallmark logic, metabolic overlays, and protected graph review.
209 public chooser entries plus protected subtype signals
The public chooser now exposes 209 cancer types and subtypes for registration. Deeper subtype availability and cohort signals remain protected for reviewed downstream use.
8 cohort intelligence groups
PCD context connects into cohort-level views such as regulated necrosis oncology, immune/inflammatory death oncology, apoptotic cell death oncology, and metabolic/redox death oncology.
Cancer bridge
Oncology uses PCD as one of its core layers alongside hallmarks, metabolic adaptation, subtype context, microenvironment logic, cell state, targets, and graph intelligence.
Pharma and metabolic context
BioAtlas connects PCD with metabolic phase intelligence and pharmaceutical graph context. The public page can explain that architecture, while protected systems hold the deeper pharma records, calibration logic, graph edges, and review tools.
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Pharma and metabolic context
BioAtlas connects PCD with metabolic phase intelligence and pharmaceutical graph context. The public page can explain that architecture, while protected systems hold the deeper pharma records, calibration logic, graph edges, and review tools.
1,094 pharma PCD-metabolic records
The current public-safe summary confirms a large PCD-metabolic pharma relationship surface, useful for commercial review and protected graph intelligence.
State-pressure context
PCD can intersect with redox pressure, mitochondrial pressure, ferroptosis pressure, detox burden, inflammatory load, ECS modulation, senescence pressure, and microbiome pressure.
Protected review
Detailed drug-card mappings, evidence grades, calibration flags, and relationship exports remain behind reviewed access and are not shown on the public page.
Public boundary
The PCD Intelligence public page explains architecture, families, cross-links, public-safe summaries, and reviewed access routes. It does not expose raw PCD files, workbook paths, internal matrices, graph exports, drug-card records, personal interpretation, treatment advice, dosing, protocols, diagnosis, or validated prediction.
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Public boundary
The PCD Intelligence public page explains architecture, families, cross-links, public-safe summaries, and reviewed access routes. It does not expose raw PCD files, workbook paths, internal matrices, graph exports, drug-card records, personal interpretation, treatment advice, dosing, protocols, diagnosis, or validated prediction.