RNA Granule Phase Separation as Transient Cross-Seeding Hub

Target: TARDBP Composite Score: 0.455 Price: $0.52▲5.2% Citation Quality: Pending neurodegeneration Status: active
☰ Compare⚔ Duel⚛ Collideinteract with this hypothesis
📄 Export → LaTeX
Select venue
arXiv Preprint NeurIPS Nature Methods PLOS ONE
🌐 Open in Overleaf →
📖 Export BibTeX
⚠ Low Validation Senate Quality Gates →
Evidence Strength Pending (0%)
5
Citations
1
Debates
5
Supporting
3
Opposing
Quality Report Card click to collapse
C
Composite: 0.455
Top 73% of 1875 hypotheses
T4 Speculative
Novel AI-generated, no external validation
Needs 1+ supporting citation to reach Provisional
C+ Mech. Plausibility 15% 0.50 Top 76%
C+ Evidence Strength 15% 0.50 Top 57%
C+ Novelty 12% 0.50 Top 82%
C+ Feasibility 12% 0.50 Top 65%
F Impact 12% 0.00 Top 50%
C+ Druggability 10% 0.50 Top 57%
C+ Safety Profile 8% 0.50 Top 57%
C+ Competition 6% 0.50 Top 77%
C+ Data Availability 5% 0.50 Top 71%
C+ Reproducibility 5% 0.50 Top 63%
Evidence
5 supporting | 3 opposing
Citation quality: 0%
Debates
2 sessions B
Avg quality: 0.61
Convergence
0.00 F 9 related hypothesis share this target

From Analysis:

Protein aggregation cross-seeding across neurodegenerative diseases

Protein aggregation cross-seeding across neurodegenerative diseases?

→ View full analysis & debate transcript

Description

Liquid-liquid phase separation of RNA-binding proteins (TDP-43, FUS) creates membrane-less compartments where disease-specific stress conditions concentrate aggregation-prone sequences, enabling stochastic cross-seeding events with other neurodegenerative proteins.

No AI visual card yet

Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["Oxidative ER or Proteotoxic Stress
Triggers Stress Granule Assembly"] B["TDP-43 TARDBP LLPS
Liquid-Liquid Phase Separation"] C["FUS HNRNPA1 Co-Condensation
RNA Granule Nucleation"] D["High Local Protein Concentration
Phase-Separated Compartment"] E["Disease-Specific Misfolded Proteins
SNCA Tau Imported into Granule"] F["Cross-Seeding Template Formation
Stochastic Nucleation Events"] G["Insoluble Amyloid Transition
Granule-to-Aggregate Maturation"] H["ALS FTD Multi-Proteinopathy
Propagation of Mixed Aggregates"] A --> B A --> C B --> D C --> D D --> E E --> F F --> G G --> H style D fill:#7b1fa2,stroke:#ce93d8,color:#ce93d8 style H fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a

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 0.50 (15%) Evidence 0.50 (15%) Novelty 0.50 (12%) Feasibility 0.50 (12%) Impact 0.00 (12%) Druggability 0.50 (10%) Safety 0.50 (8%) Competition 0.50 (6%) Data Avail. 0.50 (5%) Reproducible 0.50 (5%) KG Connect 0.50 (8%) 0.455 composite
8 citations 8 with PMID 8 medium Validation: 0% 5 supporting / 3 opposing
For (5)
5
3
(3) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
3
2
3
MECH 3CLIN 2GENE 3EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
TDP-43 condensation properties specify its RNA-bin…SupportingGENECell MEDIUM2021-PMID:34380047-
TDP-43 repression of nonconserved cryptic exons is…SupportingGENEScience MEDIUM2015-PMID:26250685-
TDP-43 Pathology in Alzheimer's Disease.SupportingMECHMol Neurodegene… MEDIUM2021-PMID:34930382-
TDP-43 represses cryptic exon inclusion in the FTD…SupportingGENENature MEDIUM2022-PMID:35197626-
FUS and TDP-43 Phases in Health and Disease.SupportingCLINTrends Biochem … MEDIUM2021-PMID:33446423-
Protein transmission in neurodegenerative disease.OpposingMECHNat Rev Neurol MEDIUM2020-PMID:32203399-
TDP-43 Pathology in Alzheimer's Disease.OpposingMECHMol Neurodegene… MEDIUM2021-PMID:34930382-
TDP-43 proteinopathies: a new wave of neurodegener…OpposingCLINJ Neurol Neuros… MEDIUM2020-PMID:33177049-
Legacy Card View — expandable citation cards

Supporting Evidence 5

TDP-43 condensation properties specify its RNA-binding and regulatory repertoire. MEDIUM
Cell · 2021 · PMID:34380047
TDP-43 repression of nonconserved cryptic exons is compromised in ALS-FTD. MEDIUM
Science · 2015 · PMID:26250685
TDP-43 Pathology in Alzheimer's Disease. MEDIUM
Mol Neurodegener · 2021 · PMID:34930382
TDP-43 represses cryptic exon inclusion in the FTD-ALS gene UNC13A. MEDIUM
Nature · 2022 · PMID:35197626
FUS and TDP-43 Phases in Health and Disease. MEDIUM
Trends Biochem Sci · 2021 · PMID:33446423

Opposing Evidence 3

Protein transmission in neurodegenerative disease. MEDIUM
Nat Rev Neurol · 2020 · PMID:32203399
TDP-43 Pathology in Alzheimer's Disease. MEDIUM
Mol Neurodegener · 2021 · PMID:34930382
TDP-43 proteinopathies: a new wave of neurodegenerative diseases. MEDIUM
J Neurol Neurosurg Psychiatry · 2020 · PMID:33177049
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 | 2026-04-12 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Mechanistically Novel Hypotheses: Protein Aggregation Cross-Seeding in Neurodegeneration

Hypothesis 1: Galectin-3 as a Universal Sensor-Dependent Cross-Seeding Platform at Damaged Endo/Lysosomal Membranes

Mechanism


Galectin-3 (LGALS3) functions as a "damage scaffold" that simultaneously recruits multiple aggregation-prone proteins (Aβ42, α-synuclein, TDP-43) to ruptured endolysosomal membranes, creating a localized high-concentration environment that favors cross-nucleation. The galectin carbohydrate recognition domain recognizes exposed glycans on damaged organelle membranes

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Critical Evaluation: Protein Aggregation Cross-Seeding Hypotheses

Hypothesis 1: Galectin-3 as a Universal Sensor-Dependent Cross-Seeding Platform

1. Strongest Specific Weakness: The Mechanism Conflates Co-Localization with Catalytic Cross-Seeding Activity

The proposal argues that galectin-3 simultaneously recruits Aβ42, α-synuclein, and TDP-43 to damaged endolysosomal membranes, creating a high-concentration environment that favors cross-nucleation. However, the cited evidence demonstrates only co-localization, not catalysis. Galectin-3 is a lectin with established carbohy

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

Domain Expert Assessment: Cross-Seeding Hypotheses in Neurodegeneration

Preliminary Note on Hypothesis Characterization

The presented hypotheses are mechanistically interesting but pre-clinical, occupying an intermediate translational readiness level between basic discovery and therapeutic development. The galectin-3 proposal in particular represents a sophisticated speculation that requires significant experimental derisking before reaching IND-enabling studies. I will therefore evaluate translational potential not against an abstract standard, but against what is achievable

Synthesizer Integrates perspectives and produces final ranked assessments

{"ranked_hypotheses":[{"rank":1,"title":"Galectin-3 as Damage-Sensor Scaffold for Multimeric Cross-Seeding at Compromised Endo/Lysosomal Membranes","mechanism":"Galectin-3's carbohydrate recognition domain binds exposed glycans on ruptured endolysosomal membranes while its intrinsically disordered N-terminus provides a phase-separated condensation surface that recruits aggregation-prone proteins (Aβ42, α-synuclein, TDP-43) into localized high-concentration environments favoring cross-nucleation.","target_gene":"LGALS3","confidence_score":0.55,"novelty_score":0.75,"feasibility_score":0.40,"im

Price History

0.460.490.51 0.54 0.43 2026-04-212026-04-252026-04-28 Market PriceScoreevidencedebate 8 events
7d Trend
Stable
7d Momentum
▲ 6.6%
Volatility
High
0.0509
Events (7d)
7

Clinical Trials (0)

No clinical trials data available

📚 Cited Papers (7)

TDP-43 repression of nonconserved cryptic exons is compromised in ALS-FTD.
Science (New York, N.Y.) (2015) · PMID:26250685
No extracted figures yet
Protein transmission in neurodegenerative disease.
Nat Rev Neurol (2020) · PMID:32203399
No extracted figures yet
TDP-43 proteinopathies: a new wave of neurodegenerative diseases.
Journal of neurology, neurosurgery, and psychiatry (2020) · PMID:33177049
No extracted figures yet
FUS and TDP-43 Phases in Health and Disease.
Trends in biochemical sciences (2021) · PMID:33446423
No extracted figures yet
No extracted figures yet
TDP-43 Pathology in Alzheimer's Disease.
Mol Neurodegener (2021) · PMID:34930382
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.

࢐ Browse all wiki pages

⚔ Arena Performance

No arena matches recorded yet. Browse Arenas
→ Browse all arenas & tournaments

📊 Resource Economics & ROI

Moderate Efficiency Resource Efficiency Score
0.50
32.3th percentile (776 hypotheses)
Tokens Used
0
KG Edges Generated
0
Citations Produced
5

Cost Ratios

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

Score Impact

Efficiency Boost to Composite
+0.050
10% weight of efficiency score
Adjusted Composite
0.505

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.

📋 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 TARDBP.

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 TARDBP →
Loading history…

⚖️ 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 (33)

DNAJB6G3BP1HSPG2LGALS3 (galectin-3)LGALS3 deficiencyLGALS3 upregulationPHB2RNA granule phase separationTARDBPTAUTDP-43 pathologyTDP43TGM2TREM2amyloid clearanceamyloid nucleationamyloid plaque pathologycellular stresscognitive decline in Alzheimer's patientcross-disease protein aggregation risk

Related Hypotheses

STMN2 Cryptic Exon Inclusion is the Earliest Loss-of-Function Marker of TDP-43 Nuclear Depletion in ALS Motor Neurons
Score: 0.702 | ALS
Cross-Seeding Prevention Strategy
Score: 0.689 | neurodegeneration
Glial Neuroinflammatory Amplification by TDP-43 Pathology
Score: 0.680 | neurodegeneration
Glycine-Rich Domain Competitive Inhibition
Score: 0.640 | neurodegeneration
Synaptic RNA Metabolism Dysregulation
Score: 0.620 | neurodegeneration

Estimated Development

Estimated Cost
$0
Timeline
0 months

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
IF disease-specific stress conditions (oxidative stress, potassium depletion, or proteasome inhibition) that promote TDP-43 granule formation are applied, THEN tau and α-synuclein will be detected within TDP-43-positive stress granules at levels significantly above background, using a cellular model of protein aggregation.
pending conf: 0.80
Expected outcome: ≥30% of TDP-43 stress granules will contain detectable tau or α-synuclein (measured by fluorescence intensity above cytoplasmic baseline), with biochemical confirmation of these proteins in granule-enriched fractions by mass spectrometry.
Falsified by: If neurodegenerative proteins fail to partition into TDP-43-positive granules under any tested stress condition, showing no increase over random distribution, this would disprove the hypothesis that stress granules act as cross-seeding hubs.
Method: HEK293T or neuronal cells co-expressing mCherry-TDP-43 with GFP-tau/α-synuclein, treated with disease-relevant stresses (arsenite, K+ depletion, MG132), isolated stress granules via differential centrifugation and characterized by proteomics and immunofluorescence.
IF TDP-43 liquid-liquid phase separation is disrupted via phosphomimetic/super-resolution microscopy validation of LLPS-deficient TDP-43 mutants, THEN co-localization and co-aggregation of TDP-43 with other neurodegenerative proteins (tau, α-synuclein) in stress granules will be significantly reduced compared to wild-type TDP-43 under oxidative stress conditions within 48 hours using human neuronal cell culture.
pending conf: 0.75
Expected outcome: ≥50% reduction in co-aggregation events between mutant TDP-43 and tau/α-synuclein in stress granules, as measured by fluorescence correlation spectroscopy and sequential biochemical fractionation (insoluble fraction analysis).
Falsified by: If LLPS-disrupted TDP-43 mutants still show equivalent or greater co-aggregation with tau/α-synuclein compared to wild-type TDP-43 under identical stress conditions, this would disprove that phase separation is required for cross-seeding events.
Method: CRISPR-edited iPSC-derived neurons expressing GFP-tagged wild-type or LLPS-deficient TDP-43 mutants (F147L/F149L or phosphorylation-null mutants), exposed to oxidative stress (500 μM arsenite), monitored by live-cell super-resolution microscopy and sequential extraction biochemical analysis.

Knowledge Subgraph (49 edges)

causes (2)

cellular stressLGALS3 upregulationTDP-43 pathologycognitive decline in Alzheimer's patients

co associated with (10)

HSPG2TARDBPHSPG2PHB2DNAJB6HSPG2DNAJB6PHB2PHB2TARDBP
▸ Show 5 more

co discussed (25)

TREM2HSPG2TREM2G3BP1TREM2TARDBPTREM2TGM2HSPG2G3BP1
▸ Show 20 more

enables (2)

endolysosomal membrane damagecross-seeding of aggregation-prone proteinsRNA granule phase separationtransient cross-seeding hub formation

increases (2)

traumatic brain injurycross-disease protein aggregation riskviral infectionscross-disease protein aggregation risk

inhibits (1)

steric zipper hexapeptide inhibitorscross-seeding between amyloidogenic proteins

modulates (1)

specific lipid perturbationscross-seeding specificity

prevents (1)

LGALS3 deficiencyamyloid plaque pathology

promotes (5)

LGALS3 (galectin-3)cross-nucleation at damaged endolysosomal membranesLGALS3 (galectin-3)amyloid plaque pathologyLGALS3 (galectin-3)lysosomal quality controlsteric zipper motifsamyloid nucleationlecanemab/donanemabamyloid clearance

Mechanism Pathway for TARDBP

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    TREM2["TREM2"] -->|co discussed| TARDBP["TARDBP"]
    HSPG2["HSPG2"] -->|co discussed| TARDBP_1["TARDBP"]
    TARDBP_2["TARDBP"] -->|co discussed| HSPG2_3["HSPG2"]
    PHB2["PHB2"] -->|co discussed| TARDBP_4["TARDBP"]
    DNAJB6["DNAJB6"] -->|co discussed| TARDBP_5["TARDBP"]
    HSPG2_6["HSPG2"] -->|co associated with| TARDBP_7["TARDBP"]
    PHB2_8["PHB2"] -->|co associated with| TARDBP_9["TARDBP"]
    DNAJB6_10["DNAJB6"] -->|co associated with| TARDBP_11["TARDBP"]
    TARDBP_12["TARDBP"] -->|co associated with| TREM2_13["TREM2"]
    style TREM2 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP fill:#ce93d8,stroke:#333,color:#000
    style HSPG2 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_1 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_2 fill:#ce93d8,stroke:#333,color:#000
    style HSPG2_3 fill:#ce93d8,stroke:#333,color:#000
    style PHB2 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_4 fill:#ce93d8,stroke:#333,color:#000
    style DNAJB6 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_5 fill:#ce93d8,stroke:#333,color:#000
    style HSPG2_6 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_7 fill:#ce93d8,stroke:#333,color:#000
    style PHB2_8 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_9 fill:#ce93d8,stroke:#333,color:#000
    style DNAJB6_10 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_11 fill:#ce93d8,stroke:#333,color:#000
    style TARDBP_12 fill:#ce93d8,stroke:#333,color:#000
    style TREM2_13 fill:#ce93d8,stroke:#333,color:#000

3D Protein Structure

🧬 TARDBP — PDB 4BS2 Click to expand 3D viewer

Experimental structure from RCSB PDB | Powered by Mol* | Rotate: click+drag | Zoom: scroll | Reset: right-click

Source Analysis

Protein aggregation cross-seeding across neurodegenerative diseases

neurodegeneration | 2026-04-01 | completed

Community Feedback

0 0 upvotes · 0 downvotes
💬 0 comments ⚠ 0 flags ✏ 0 edit suggestions

No comments yet. Be the first to comment!

View all feedback (JSON)

Same Analysis (2)

Membrane Lipid Composition-Dependent Specificity Switch Enabling Cross
Score: 0.46 · PLD3
Galectin-3 as Damage-Sensor Scaffold for Multimeric Cross-Seeding at C
Score: 0.46 · LGALS3
→ View all analysis hypotheses
Public annotations (0)Annotate on Hypothes.is →
No public annotations yet.