Arginine Methylation Loss on FUS RGG Domains Drives Irreversible Phase Transition to Amyloid in ALS

Target: FUS Composite Score: 0.676 Price: $0.50▲28.8% Citation Quality: Pending ALS Status: open
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✓ All Quality Gates Passed
Evidence Strength Pending (0%)
5
Citations
1
Debates
5
Supporting
2
Opposing
Quality Report Card click to collapse
B
Composite: 0.676
Top 24% of 1875 hypotheses
T4 Speculative
Novel AI-generated, no external validation
Needs 1+ supporting citation to reach Provisional
A Mech. Plausibility 15% 0.86 Top 8%
C Evidence Strength 15% 0.48 Top 68%
B+ Novelty 12% 0.75 Top 32%
B Feasibility 12% 0.60 Top 51%
A Impact 12% 0.83 Top 31%
F Druggability 10% 0.00 Top 50%
F Safety Profile 8% 0.00 Top 50%
F Competition 6% 0.00 Top 50%
F Data Availability 5% 0.00 Top 50%
F Reproducibility 5% 0.00 Top 50%
Evidence
5 supporting | 2 opposing
Citation quality: 45%
Debates
1 session B
Avg quality: 0.67
Convergence
0.00 F 7 related hypothesis share this target

From Analysis:

Biophysical Determinants Shifting FUS/TDP-43 Phase Separation to Pathological Aggregates

What are the biophysical determinants — RNA binding stoichiometry, post-translational modifications, crowding agents — that shift FUS and TDP-43 from functional liquid-liquid phase-separated condensates to irreversible amyloid-like aggregates, and can in-cell cryo-electron tomography resolve the structural transitions in patient-derived iPSC motor neurons?

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Description

Symmetric dimethylation of arginine residues in the FUS RGG1/RGG2 domains by PRMT5/PRMT1 maintains FUS in a dynamic liquid phase-separated state by reducing inter-molecular beta-sheet propensity. ALS-linked mutations near the RGG domains reduce arginine methylation efficiency, shifting FUS toward an aggregation-prone unmethylated state. PRMT5 activator treatment in FUS-ALS iPSC motor neurons should restore arginine methylation stoichiometry and increase the concentration required for pathological aggregation by >3-fold.

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Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["FUS RGG1 RGG2 Domains
RNA-Binding Protein in Motor Neurons"] B["PRMT1 and PRMT5 Activity
Symmetric Dimethylarginine on RGG Repeats"] C["Dynamic Liquid Phase Separation
Inter-molecular Beta-Sheet Propensity Reduced"] D["ALS-Linked FUS Mutations
Near RGG Domains"] E["Reduced Arginine Methylation Efficiency
Unmethylated FUS Accumulates"] F["Increased Beta-Sheet Propensity
Aggregation-Prone Confirmation"] G["Insoluble FUS Amyloid Aggregates
ALS FTD Pathology"] H["PRMT5 Activator Treatment
Restores Methylation Stoichiometry"] A --> B B --> C D --> E E --> F F --> G H -.->|"3-fold aggregation threshold increase"| B style D fill:#7b1fa2,stroke:#ce93d8,color:#ce93d8 style G fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a style H fill:#1b5e20,stroke:#a5d6a7,color:#a5d6a7

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 0.86 (15%) Evidence 0.48 (15%) Novelty 0.75 (12%) Feasibility 0.60 (12%) Impact 0.83 (12%) Druggability 0.00 (10%) Safety 0.00 (8%) Competition 0.00 (6%) Data Avail. 0.00 (5%) Reproducible 0.00 (5%) KG Connect 0.50 (8%) 0.676 composite
7 citations 7 with PMID 5 medium Validation: 45% 5 supporting / 2 opposing
For (5)
5
No opposing evidence
(2) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
2
2
3
MECH 2CLIN 2GENE 3EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
ALS-FUS mutations cause abnormal PARylation and hi…SupportingGENECell Rep MEDIUM2024-PMID:39167487-
ALS-associated FUS mutation reshapes the RNA and p…SupportingGENENucleic Acids R… MEDIUM2024-PMID:39494508-
A Liquid-to-Solid Phase Transition of the ALS Prot…SupportingGENECell MEDIUM2015-PMID:26317470-
M6A-dependent RNA condensation underlies FUS autor…SupportingCLINSci Adv MEDIUM2025-PMID:40700505-
Pathogenesis of FUS-associated ALS and FTD: insigh…SupportingCLINActa Neuropatho… MEDIUM2016-PMID:27600654-
No claimOpposingMECH- MODERATE2018-PMID:29677514-
No claimOpposingMECH- MODERATE2024-PMID:39052476-
Legacy Card View — expandable citation cards

Supporting Evidence 5

ALS-FUS mutations cause abnormal PARylation and histone H1.2 interaction, leading to pathological changes. MEDIUM
Cell Rep · 2024 · PMID:39167487
ALS-associated FUS mutation reshapes the RNA and protein composition of stress granules. MEDIUM
Nucleic Acids Res · 2024 · PMID:39494508
A Liquid-to-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutation. MEDIUM
Cell · 2015 · PMID:26317470
M6A-dependent RNA condensation underlies FUS autoregulation and can be harnessed for ALS therapy development. MEDIUM
Sci Adv · 2025 · PMID:40700505
Pathogenesis of FUS-associated ALS and FTD: insights from rodent models. MEDIUM
Acta Neuropathol Commun · 2016 · PMID:27600654

Opposing Evidence 2

No claim MODERATE
No claim MODERATE
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 | 2026-04-28 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Theorist position for analysis 52661eaf-79f8-4647-8f48-3389f5af4d59: Biophysical Determinants Shifting FUS/TDP-43 Phase Separation to Pathological Aggregates

Source basis: Fundamental Aspects of Phase-Separated Biomolecular Condensates (Chemical Reviews, 2024, DOI 10.1021/acs.chemrev.4c00138). The stored gap context says: Comprehensive review of biomolecular condensate biophysics identified the liquid-to-solid transition in disease-associated RBPs as a major open question requiring in-cell structural approaches.

Primary hypothesis: RNA-binding protein condensate maturation from reversible ph

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Skeptic critique for analysis 52661eaf-79f8-4647-8f48-3389f5af4d59: Biophysical Determinants Shifting FUS/TDP-43 Phase Separation to Pathological Aggregates

The source paper motivates the gap, but motivation is not causal evidence. The main threat is that the observed association in Fundamental Aspects of Phase-Separated Biomolecular Condensates could be downstream of disease stage, tissue composition, survival bias, or batch structure. The specific concern here is: in-vitro condensate rules may not transfer cleanly to crowded, stressed patient neurons.

The debate should reject any claim tha

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

Domain expert assessment for analysis 52661eaf-79f8-4647-8f48-3389f5af4d59: Biophysical Determinants Shifting FUS/TDP-43 Phase Separation to Pathological Aggregates

The practical path is feasible but should be staged. Stage 1 should reanalyze or collect human data at the needed resolution, preserving pathology, sex/genotype, region, and disease-stage covariates when relevant. Stage 2 should test RNA-binding protein condensate maturation from reversible phase separation to amyloid-like aggregation in a model where the proximal readout can be measured before overt toxicity. Stage 3 should conne

Synthesizer Integrates perspectives and produces final ranked assessments

{
"ranked_hypotheses": [
{
"title": "RNA-binding protein condensate maturation from reversible phase separation to amyloid-like aggregation as proximal driver in Biophysical Determinants Shifting FUS/TDP-43 Phase Separation to Pathological Aggregates",
"description": "RNA-binding protein condensate maturation from reversible phase separation to amyloid-like aggregation should produce a measurable proximal phenotype before late disease pathology. The decisive test is time-resolved iPSC motor-neuron perturbations combining RNA stoichiometry, PTM mapping, live-cell condensate tr

Price History

0.550.600.65 0.70 0.51 2026-04-212026-04-242026-04-27 Market PriceScoreevidencedebate 7 events
7d Trend
Rising
7d Momentum
▲ 22.9%
Volatility
Low
0.0030
Events (7d)
6

Clinical Trials (0)

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📚 Cited Papers (7)

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📅 Citation Freshness Audit

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

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📊 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
0.727

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.

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

💬 Discussion

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⚖️ Governance History

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Related Hypotheses

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mutant FUS effects split between motor-neuron intrinsic stress and glial/NMJ inflammatory signaling as proximal driver in Cell-Autonomous vs Non-Cell-Autonomous Mechanisms of Mutant FUS Neuromuscular Denervation
Score: 0.626 | neurodegeneration
RNA-binding protein condensate maturation from reversible phase separation to amyloid-like aggregation as proximal driver in Biophysical Determinants Shifting FUS/TDP-43 Phase Separation to Pathological Aggregates
Score: 0.626 | neurodegeneration
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Small-Molecule FUS Nuclear Import Correctors Rescue Motor Neuron Toxicity
Score: 0.550 | neurodegeneration

Estimated Development

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🧪 Falsifiable Predictions

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Knowledge Subgraph (0 edges)

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3D Protein Structure

🧬 FUS — PDB 4FDD Click to expand 3D viewer

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

Source Analysis

Biophysical Determinants Shifting FUS/TDP-43 Phase Separation to Pathological Aggregates

neurodegeneration | 2026-04-27 | open

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Score: 0.61 · TDP-43
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Score: 0.61 · RNA
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