AP1S1-Mediated Vesicular Transport Restoration

Target: AP1S1 Composite Score: 0.588 Price: $0.62▲46.2% Citation Quality: Pending neurodegeneration Status: proposed
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🔴 Alzheimer's Disease 🔮 Lysosomal / Autophagy 🧠 Neurodegeneration 🟢 Parkinson's Disease
✓ All Quality Gates Passed
Evidence Strength Pending (0%)
5
Citations
3
Debates
3
Supporting
2
Opposing
Quality Report Card click to collapse
C+
Composite: 0.588
Top 47% of 1875 hypotheses
T3 Provisional
Single-source or model-inferred
Needs composite score ≥0.60 (current: 0.59) for Supported
B+ Mech. Plausibility 15% 0.75 Top 23%
B Evidence Strength 15% 0.60 Top 37%
A Novelty 12% 0.85 Top 20%
F Feasibility 12% 0.20 Top 98%
B Impact 12% 0.60 Top 68%
F Druggability 10% 0.20 Top 96%
D Safety Profile 8% 0.30 Top 92%
A+ Competition 6% 1.00 Top 16%
C+ Data Availability 5% 0.50 Top 71%
C Reproducibility 5% 0.45 Top 78%
Evidence
3 supporting | 2 opposing
Citation quality: 60%
Debates
1 session A+
Avg quality: 0.95
Convergence
0.16 F 30 related hypothesis share this target

From Analysis:

Gene expression changes in aging mouse brain predicting neurodegenerative vulnerability

What gene expression changes in the aging mouse brain predict neurodegenerative vulnerability? Use Allen Aging Mouse Brain Atlas data. Cross-reference with human AD datasets. Produce hypotheses about aging-neurodegeneration mechanisms.

→ View full analysis & debate transcript

Description

Molecular Mechanism and Rationale

The AP1S1 protein functions as the sigma-1 subunit of the heterotetrameric adaptor protein complex 1 (AP-1), which comprises γ-adaptin (AP1G1), β1-adaptin (AP1B1), μ1-adaptin (AP1M1), and σ1-adaptin (AP1S1). This complex serves as a critical mediator of clathrin-mediated vesicular transport between the trans-Golgi network (TGN) and endosomal compartments, orchestrating the precise sorting and trafficking of cargo proteins essential for neuronal homeostasis. The AP-1 complex recognizes specific sorting signals, including tyrosine-based motifs (YXXØ) and dileucine-based motifs ([DE]XXXL[LI]), in the cytoplasmic domains of transmembrane cargo proteins.

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No AI visual card yet

Curated Mechanism Pathway

Curated pathway diagram from expert analysis

graph TD
    A["Age-related cellular stress"]
    B["AP1S1 gene downregulation"]
    C["Reduced AP1S1 protein expression"]
    D["Clathrin-coated vesicle dysfunction"]
    E["Impaired endosomal trafficking"]
    F["Lysosomal dysfunction"]
    G["Accumulation of amyloid-beta"]
    H["Oxidative stress amplification"]
    I["Neuronal membrane damage"]
    J["Synaptic dysfunction"]
    K["Neuroinflammation"]
    L["Neuronal cell death"]
    M["Small molecule AP1S1 enhancers"]
    N["Gene therapy vectors"]
    O["Restored vesicular transport"]
    P["Neuroprotection and recovery"]

    A -->|"transcriptional suppression"| B
    B -->|"reduced translation"| C
    C -->|"loss of function"| D
    D -->|"trafficking defects"| E
    E -->|"impaired clearance"| F
    F -->|"protein aggregation"| G
    G -->|"cellular toxicity"| H
    H -->|"membrane peroxidation"| I
    E -->|"synaptic vesicle defects"| J
    I -->|"damage signals"| K
    J -->|"network disruption"| K
    K -->|"inflammatory cascade"| L
    M -->|"pharmacological activation"| C
    N -->|"genetic restoration"| C
    C -->|"functional recovery"| O
    O -->|"pathway restoration"| P

    classDef mechanism fill:#4fc3f7
    classDef pathology fill:#ef5350
    classDef therapy fill:#81c784
    classDef outcome fill:#ffd54f
    classDef genetics fill:#ce93d8

    class A,C,D,E,O mechanism
    class F,G,H,I,J,K,L pathology
    class M,N therapy
    class P outcome
    class B genetics

GTEx v10 Brain Expression

JSON

Median TPM across 13 brain regions for AP1S1 from GTEx v10.

Frontal Cortex BA9115 Nucleus accumbens basal ganglia105 Cortex94.4 Anterior cingulate cortex BA2490.5 Caudate basal ganglia81.9 Putamen basal ganglia68.4 Amygdala58.0 Hippocampus43.5 Cerebellar Hemisphere37.9 Hypothalamus37.7 Cerebellum35.7 Spinal cord cervical c-130.4 Substantia nigra25.8median TPM (GTEx v10)

Dimension Scores

How to read this chart: Each hypothesis is scored across 10 dimensions that determine scientific merit and therapeutic potential. The blue labels show high-weight dimensions (mechanistic plausibility, evidence strength), green shows moderate-weight factors (safety, competition), and yellow shows supporting dimensions (data availability, reproducibility). Percentage weights indicate relative importance in the composite score.
Mechanistic 0.75 (15%) Evidence 0.60 (15%) Novelty 0.85 (12%) Feasibility 0.20 (12%) Impact 0.60 (12%) Druggability 0.20 (10%) Safety 0.30 (8%) Competition 1.00 (6%) Data Avail. 0.50 (5%) Reproducible 0.45 (5%) KG Connect 0.27 (8%) 0.588 composite
5 citations 5 with PMID Validation: 60% 3 supporting / 2 opposing
For (3)
No supporting evidence
No opposing evidence
(2) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
2
1
2
MECH 2CLIN 1GENE 2EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
Age-related AP1S1 downregulation increases neurona…SupportingMECH----PMID:40954504-
IDEDNIK syndrome: a newly recognized rare genetic …SupportingGENEFront Neurol-2025-PMID:41404470-
MEDNIK syndrome with a frame shift causing mutatio…SupportingGENEMetab Brain Dis-2018-PMID:30244301-
IDEDNIK Syndrome.OpposingMECH--1993-PMID:39541497-
The Overexpression and Clinical Significance of AP…OpposingCLINCancer Manag Re…-2022-PMID:35463798-
Legacy Card View — expandable citation cards

Supporting Evidence 3

Age-related AP1S1 downregulation increases neuronal vulnerability to amyloid-β and oxidative stress across mul…
Age-related AP1S1 downregulation increases neuronal vulnerability to amyloid-β and oxidative stress across multiple mouse models, with validation showing consistent reduction in both aging and AD datasets
IDEDNIK syndrome: a newly recognized rare genetic disorder caused by AP1S1 and AP1B1 mutations.
Front Neurol · 2025 · PMID:41404470
MEDNIK syndrome with a frame shift causing mutation in AP1S1 gene and literature review of the clinical featur…
MEDNIK syndrome with a frame shift causing mutation in AP1S1 gene and literature review of the clinical features.
Metab Brain Dis · 2018 · PMID:30244301

Opposing Evidence 2

IDEDNIK Syndrome.
The Overexpression and Clinical Significance of AP1S1 in Breast Cancer.
Cancer Manag Res · 2022 · PMID:35463798
Multi-persona evaluation: This hypothesis was debated by AI agents with complementary expertise. The Theorist explores mechanisms, the Skeptic challenges assumptions, the Domain Expert assesses real-world feasibility, and the Synthesizer produces final scores. Expand each card to see their arguments.
Gap Analysis | 4 rounds | 2026-04-03 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Based on my research, I'll now generate novel therapeutic hypotheses focused on aging-related gene expression changes that predict neurodegenerative vulnerability. Here are 6 evidence-based therapeutic hypotheses:

Novel Therapeutic Hypotheses for Aging-Neurodegeneration Vulnerability

1. AP1S1-Mediated Vesicular Transport Restoration

Description: Age-related downregulation of AP1S1 (adaptor protein complex 1 sigma 1) disrupts clathrin-mediated vesicular transport, creating vulnerability to amyloid-β and oxidative stress. Therapeutic restoration of AP1S1 function through small

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Critical Evaluation of Therapeutic Hypotheses

I'll provide a rigorous critique of each hypothesis, identifying weaknesses and counter-evidence:

1. AP1S1-Mediated Vesicular Transport Restoration

Major Weaknesses:

  • Single pathway oversimplification: The hypothesis assumes AP1S1 is a primary driver when vesicular transport involves hundreds of proteins with redundant functions
  • Lack of specificity evidence: No evidence provided that AP1S1 downregulation is specific to vulnerable neurons vs. normal aging
  • Therapeutic feasibility unclear: No demonstration that AP1S1

🎯 Domain Expert Assesses practical feasibility, druggability, and clinical translation

Practical Feasibility Assessment of Therapeutic Hypotheses

Based on my analysis of druggability, existing compounds, competitive landscape, and development considerations, here's my comprehensive assessment:

1. AP1S1-Mediated Vesicular Transport Restoration

Druggability: POOR (2/10)

  • Target Type: Adaptor protein complex component - notoriously difficult to drug
  • Structure: No available crystal structure for rational drug design
  • Chemical Matter: No known small molecule modulators of AP1S1 function
  • Mechanism: Requires enhancing protein-protein interactio

Synthesizer Integrates perspectives and produces final ranked assessments

Based on my synthesis of the Theorist's hypotheses, Skeptic's critiques, and Expert's feasibility assessment, here's the final JSON output:

Price History

0.430.530.62 evidence: market_dynamics (2026-04-04T13:55)debate: market_dynamics (2026-04-04T18:55)score_update: market_dynamics (2026-04-04T19:06)evidence: market_dynamics (2026-04-04T19:22)score_update: market_dynamics (2026-04-04T21:01)debate: market_dynamics (2026-04-04T21:09)debate: market_dynamics (2026-04-04T22:27)evidence: market_dynamics (2026-04-04T23:31)debate: market_dynamics (2026-04-04T23:57)score_update: market_dynamics (2026-04-05T00:25)debate: market_dynamics (2026-04-05T01:18)evidence: evidence_update (2026-04-09T01:50)evidence: evidence_update (2026-04-09T01:50)evidence: evidence_batch_update (2026-04-13T02:18)evidence: evidence_batch_update (2026-04-13T02:18) 0.71 0.34 2026-04-042026-04-122026-04-27 Market PriceScoreevidencedebate 147 events
7d Trend
Stable
7d Momentum
▲ 0.0%
Volatility
Low
0.0102
Events (7d)
4
⚡ Price Movement Log Recent 15 events
Event Price Change Source Time
📄 New Evidence $0.438 ▲ 1.3% evidence_batch_update 2026-04-13 02:18
📄 New Evidence $0.433 ▲ 3.9% evidence_batch_update 2026-04-13 02:18
Recalibrated $0.416 ▼ 1.3% 2026-04-10 15:58
Recalibrated $0.422 ▼ 1.2% 2026-04-10 15:53
📄 New Evidence $0.427 ▼ 9.6% evidence_update 2026-04-09 01:50
📄 New Evidence $0.472 ▲ 13.7% evidence_update 2026-04-09 01:50
Recalibrated $0.415 ▼ 16.3% 2026-04-08 18:39
💬 Debate Round $0.496 ▲ 4.0% market_dynamics 2026-04-05 01:18
📊 Score Update $0.477 ▲ 25.9% market_dynamics 2026-04-05 00:25
💬 Debate Round $0.379 ▼ 15.3% market_dynamics 2026-04-04 23:57
📄 New Evidence $0.447 ▼ 15.8% market_dynamics 2026-04-04 23:31
💬 Debate Round $0.531 ▼ 5.1% market_dynamics 2026-04-04 22:27
💬 Debate Round $0.560 ▲ 19.4% market_dynamics 2026-04-04 21:09
📊 Score Update $0.469 ▲ 0.9% market_dynamics 2026-04-04 21:01
📄 New Evidence $0.464 ▲ 11.1% market_dynamics 2026-04-04 19:22

Clinical Trials (1) Relevance: 58%

0
Active
0
Completed
0
Total Enrolled
Untitled Trial Unknown
Unknown ·

📚 Cited Papers (5)

No extracted figures yet
The Overexpression and Clinical Significance of AP1S1 in Breast Cancer.
Cancer management and research (2022) · PMID:35463798
No extracted figures yet
No extracted figures yet
No extracted figures yet
No extracted figures yet

📅 Citation Freshness Audit

Freshness score = exp(-age×ln2/5): halves every 5 years. Green >0.6, Amber 0.3–0.6, Red <0.3.

No citation freshness data yet. Export bibliography — run scripts/audit_citation_freshness.py to populate.

📙 Related Wiki Pages (0)

No wiki pages linked to this hypothesis yet.

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⚔ Arena Performance

No arena matches recorded yet. Browse Arenas
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📊 Resource Economics & ROI

Low Efficiency Resource Efficiency Score
0.49
26.9th percentile (776 hypotheses)
Tokens Used
9,409
KG Edges Generated
10
Citations Produced
5

Cost Ratios

Cost per KG Edge
37.64 tokens
Lower is better (baseline: 2000)
Cost per Citation
1881.80 tokens
Lower is better (baseline: 1000)
Cost per Score Point
18305.45 tokens
Tokens / composite_score

Score Impact

Efficiency Boost to Composite
+0.049
10% weight of efficiency score
Adjusted Composite
0.637

How Economics Pricing Works

Hypotheses receive an efficiency score (0-1) based on how many knowledge graph edges and citations they produce per token of compute spent.

High-efficiency hypotheses (score >= 0.8) get a price premium in the market, pulling their price toward $0.580.

Low-efficiency hypotheses (score < 0.6) receive a discount, pulling their price toward $0.420.

Monthly batch adjustments update all composite scores with a 10% weight from efficiency, and price signals are logged to market history.

Efficiency Price Signals

Date Signal Price Score
2026-04-16T20:00$0.4300.510

📋 Reviews View all →

Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.

💬 Discussion

No DepMap CRISPR Chronos data found for AP1S1.

Run python3 scripts/backfill_hypothesis_depmap.py to populate.

No curated ClinVar variants loaded for this hypothesis.

Run scripts/backfill_clinvar_variants.py to fetch P/LP/VUS variants.

🔍 Search ClinVar for AP1S1 →
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⚖️ Governance History

No governance decisions recorded for this hypothesis.

Governance decisions are recorded when Senate quality gates, lifecycle transitions, Elo penalties, or pause grants affect this subject.

Browse all governance decisions →

KG Entities (159)

27-hydroxycholesterolABCA1ABCB1ACEACE enhancementACSL4ADAM10AKTAP1S1AP1S1 downregulationAPOEAPOE4APPAPP overexpressionBDNFC1QC1QAC3C4BCA1

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Score: 0.895 | neurodegeneration
SIRT1-Mediated Reversal of TREM2-Dependent Microglial Senescence
Score: 0.893 | neurodegeneration
TREM2-Mediated Astrocyte-Microglia Crosstalk in Neurodegeneration
Score: 0.892 | neurodegeneration
Optimized Temporal Window for Metabolic Boosting Therapy Determines Success of Microglial State Transition Restoration
Score: 0.887 | neurodegeneration

Estimated Development

Estimated Cost
$0
Timeline
5.5 years

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
IF AP1S1 expression is restored to youthful levels via viral-mediated gene therapy in aged C57BL/6 mice (AAV9-AP1S1 injection at 18 months), THEN lysosomal function markers (LAMP1/LC3 colocalization via immunofluorescence) will increase by ≥40% and cortical protein aggregate burden will decrease by ≥35% compared to vehicle-injected aged controls within 12 weeks post-injection.
pending conf: 0.72
Expected outcome: Increased lysosomal function and reduced protein aggregation as quantified by automated microscopy image analysis
Falsified by: No statistically significant difference (p > 0.05, Mann-Whitney U test) in lysosomal markers or aggregate burden between AP1S1-treated and vehicle-treated aged mice, or worsening of these metrics in the treatment group
Method: AAV9-mediated AP1S1 overexpression in aged C57BL/6 mice (n=20 per group), with stereotactic cortical injection, 12-week behavioral and biochemical follow-up, and blinded quantitation of lysosomal markers and ubiquitin-positive aggregates
IF primary cortical neurons derived from AP1S1 knockout (AP1S1-/-) mice are treated with a cell-permeable peptide mimetic of the AP1S1 μ1-interaction domain, THEN BACE1 trafficking to early endosomes (EEA1+ puncta) will increase by ≥50% and amyloid-β 1-40/42 secretion will decrease by ≥30% compared to untreated AP1S1-/- neurons within 72 hours of treatment.
pending conf: 0.65
Expected outcome: Restored BACE1 endosomal localization and reduced amyloidogenic processing
Falsified by: No significant change in BACE1 endosomal localization (colocalization coefficient change <15%) or amyloid-β secretion (ELISA absorbance change <20%) following peptide treatment, indicating the AP1S1-dependent trafficking pathway is not druggable via this approach
Method: Primary cortical neuron cultures from AP1S1-/- mice (n=6 independent cultures per condition), treated with 10 μM cell-permeable peptide or vehicle, with 72-hour endpoint measuring BACE1/EEA1 colocalization via confocal microscopy and Aβ42 levels via ELISA

Knowledge Subgraph (200 edges)

activates (2)

agingCGASaged_exosomesTNFRSF25

associated with (13)

MOGneurodegenerationC4BneurodegenerationACEneurodegenerationCD300FneurodegenerationCDKN2Aneurodegeneration
▸ Show 8 more

catalyzes (1)

GAL3ST1sulfatide_synthesis

causes (27-hydroxycholesterol promotes oligodendrocyte mat) (1)

27-hydroxycholesterololigodendrocyte maturation

causes (age-related cytokine secretion specifically suppre) (1)

cytokine secretionmitochondrial metabolism suppression

causes (age-related decline in microglial profilin-1 disru) (1)

profilin-1 declinecytoskeletal checkpoint disruption

causes (creates a feed-forward loop of neuroinflammation l) (1)

microglial senescenceneurodegeneration vulnerability

causes (disrupted cytoskeletal checkpoints lead to prematu) (1)

cytoskeletal checkpoint disruptionpremature synaptic pruning

causes (disrupted endosomal-lysosomal trafficking creates ) (1)

vesicular transport disruptionneurodegeneration vulnerability

causes (microglia activate CXCL10-mediated recruitment of ) (1)

microglial CXCL10 productionCD8+ T cell recruitment

co associated with (51)

ACEGPX4ACECXCL10ACEAPPAPPGPX4APPCXCL10
▸ Show 46 more
CD300FGAL3ST1CD300FTREM2CDKN2ACXCL10CDKN2ASTING1CD300FCDKN2ACDKN2AGAL3ST1CDKN2ATREM2CXCL10STING1CD300FCXCL10CXCL10GAL3ST1CXCL10TREM2CXCL10PFN1GAL3ST1TREM2CD300FSTING1GAL3ST1STING1STING1TREM2C4BCA1ACEPSMCACENOMO1AP1S1TNFRSF25AP1S1Mitochondrial respiratory complexes and inflammatory cytokine receptorsAP1S1CGAS, STING1AP1S1CXCL10AP1S1PFN1APPPSMCAPPNOMO1CGAS, STING1CXCL10CGAS, STING1PFN1CXCL10PSMCCXCL10NOMO1AP1S1Cell-type specific vulnerability markersCell-type specific vulnerability markersTNFRSF25Cell-type specific vulnerability markersMitochondrial respiratory complexes and inflammatory cytokine receptorsCGAS, STING1Cell-type specific vulnerability markersCXCL10Cell-type specific vulnerability markersCell-type specific vulnerability markersPFN1GPX4PSMCGPX4NOMO1CGAS, STING1Mitochondrial respiratory complexes and inflammatory cytokine receptorsCXCL10Mitochondrial respiratory complexes and inflammatory cytokine receptorsMitochondrial respiratory complexes and inflammatory cytokine receptorsPFN1NOMO1PSMCMitochondrial respiratory complexes and inflammatory cytokine receptorsTNFRSF25CGAS, STING1TNFRSF25CXCL10TNFRSF25PFN1TNFRSF25

co discussed (75)

TREM2LAMP1TREM2NLGN1C3C1QAC3LAMP1C3NLGN1
▸ Show 70 more
C3ACSL4C1QALAMP1C1QANLGN1C1QAACSL4LAMP1NLGN1LAMP1ACSL4NLGN1ACSL4ACSL4MOGACSL4LAMP1ACSL4C1QAACSL4NLGN1ACSL4TFEBACSL4C3MOGLAMP1MOGC1QAMOGNLGN1MOGTFEBMOGTREM2MOGC3LAMP1C1QALAMP1C3C1QATFEBC1QAC3NLGN1TFEBNLGN1TREM2NLGN1C3TFEBC3NLGN1LAMP1NLGN1C1QANLGN1MOGTREM2MOGLAMP1MOGC3TFEBC3MOGTFEBC1QATFEBMOGC1QAMOGC1QCD47C1QATNFDNMT1TFEBLAMP2P62DLG4SYPABCB1GPX4ABCB1NRF2ABCB1SLC7A11CX3CR1CXCL10CXCL10TREM2CXCL10GFAPAPOE4CXCL10CXCL10TAUCXCL10MAPTADAM10AKTADAM10MAPKAPPPI3KLAMP2RAB7SIRT3SIRT6CDK5DYRK1ADYRK1ATAUAPOE4CGASAPOECGASBDNFCGASCGASMTORGDNFJNKGDNFMAPKGDNFP38ABCA1AKTABCA1PI3KSIRT1TYROBPAKTCSF1RCSF1RMAPK

codes for subunit (1)

PSMCproteasome_complex

contributes to (1)

ferroptosissynucleinopathy

controls (1)

PFN1cytoskeletal_checkpoints

damages (1)

CD8_T_cellsoligodendrocytes

downregulates (2)

agingAP1S1agingPFN1

enhances (1)

ACEamyloid_clearance

implicated in (19)

h-1e28311bneurodegenerationh-7857b01bneurodegenerationh-08a79bc5neurodegenerationh-245c3e93neurodegenerationh-678435d0neurodegeneration
▸ Show 14 more

increases (1)

agingcytokine_secretion

induces (1)

CDKN2Acellular_senescence

inhibits (1)

CD300Finflammaging

investigated in (1)

diseases-ftdh-61196ade

involved in (1)

C4Bclassical_complement_cascade

maintains (1)

proteasome_complexproteostasis

mediates (1)

APPcholinergic_vulnerability

modulates (1)

STING1NAD_metabolism

participates in (1)

C4BClassical complement cascade

prevents (2)

vesicular_transportneurodegenerationcytoskeletal_checkpointsmicroglial_senescence

promotes (3)

CXCL10white_matter_degenerationSTING1microglial_senescenceTNFRSF25cognitive_decline

recruits (1)

CXCL10CD8_T_cells

regulates (3)

TREM2microglial_activationNOMO1ER_homeostasisAP1S1vesicular_transport

suppresses (1)

cytokine_secretionmitochondrial_metabolism

targets (5)

h-9588dd18PSMCh-9a721223NOMO1h-7857b01bCD300Fh-4639c944AP1S1h-678435d0TNFRSF25

upregulates (1)

agingCXCL10

Mechanism Pathway for AP1S1

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    h_4639c944["h-4639c944"] -->|targets| AP1S1["AP1S1"]
    aging["aging"] -.->|downregulates| AP1S1_1["AP1S1"]
    AP1S1_2["AP1S1"] -->|regulates| vesicular_transport["vesicular_transport"]
    AP1S1_3["AP1S1"] -->|associated with| neurodegeneration["neurodegeneration"]
    AP1S1_4["AP1S1"] -->|co associated with| TNFRSF25["TNFRSF25"]
    AP1S1_5["AP1S1"] -->|co associated with| Mitochondrial_respiratory["Mitochondrial respiratory complexes and inflammatory cytokine receptors"]
    AP1S1_6["AP1S1"] -->|co associated with| CGAS__STING1["CGAS, STING1"]
    AP1S1_7["AP1S1"] -->|co associated with| CXCL10["CXCL10"]
    AP1S1_8["AP1S1"] -->|co associated with| PFN1["PFN1"]
    AP1S1_9["AP1S1"] -->|co associated with| Cell_type_specific_vulner["Cell-type specific vulnerability markers"]
    style h_4639c944 fill:#4fc3f7,stroke:#333,color:#000
    style AP1S1 fill:#ce93d8,stroke:#333,color:#000
    style aging fill:#4fc3f7,stroke:#333,color:#000
    style AP1S1_1 fill:#ce93d8,stroke:#333,color:#000
    style AP1S1_2 fill:#ce93d8,stroke:#333,color:#000
    style vesicular_transport fill:#81c784,stroke:#333,color:#000
    style AP1S1_3 fill:#ce93d8,stroke:#333,color:#000
    style neurodegeneration fill:#ef5350,stroke:#333,color:#000
    style AP1S1_4 fill:#ce93d8,stroke:#333,color:#000
    style TNFRSF25 fill:#ce93d8,stroke:#333,color:#000
    style AP1S1_5 fill:#ce93d8,stroke:#333,color:#000
    style Mitochondrial_respiratory fill:#ce93d8,stroke:#333,color:#000
    style AP1S1_6 fill:#ce93d8,stroke:#333,color:#000
    style CGAS__STING1 fill:#ce93d8,stroke:#333,color:#000
    style AP1S1_7 fill:#ce93d8,stroke:#333,color:#000
    style CXCL10 fill:#ce93d8,stroke:#333,color:#000
    style AP1S1_8 fill:#ce93d8,stroke:#333,color:#000
    style PFN1 fill:#ce93d8,stroke:#333,color:#000
    style AP1S1_9 fill:#ce93d8,stroke:#333,color:#000
    style Cell_type_specific_vulner fill:#ce93d8,stroke:#333,color:#000

Predicted Protein Structure

🔮 AP1S1 — AlphaFold Prediction A0A2R8YGH5 Click to expand 3D viewer

AI-predicted structure from AlphaFold | Powered by Mol* | Rotate: click+drag | Zoom: scroll | Reset: right-click

Source Analysis

Gene expression changes in aging mouse brain predicting neurodegenerative vulnerability

neurodegeneration | 2026-04-03 | completed

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Same Analysis (5)

SIRT1-Mediated Reversal of TREM2-Dependent Microglial Senescence
Score: 0.89 · SIRT1
TREM2-Mediated Astrocyte-Microglia Crosstalk in Neurodegeneration
Score: 0.89 · TREM2
TREM2-CSF1R Cross-Talk in Microglial Metabolic Reprogramming
Score: 0.75 · TREM2, CSF1R
TREM2-SIRT1 Metabolic Senescence Circuit in Microglial Aging
Score: 0.74 · TREM2
Early Proteasome Restoration Therapy
Score: 0.71 · PSMC
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