From Analysis:
SEA-AD Gene Expression Profiling — Allen Brain Cell Atlas
What are the cell-type specific expression patterns of key neurodegeneration genes in the Seattle Alzheimer's Disease Brain Cell Atlas?
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Curated pathway diagram from expert analysis
graph TD
subgraph "TREM2 Signaling in DAM Microglia"
TREM2["TREM2 Receptor"] -->|"lipid sensing"| TYROBP["TYROBP/DAP12"]
TYROBP -->|"phosphorylation"| SYK["SYK Kinase"]
SYK -->|"activates"| PI3K["PI3K/AKT"]
PI3K -->|"survival"| MTOR["mTOR"]
PI3K -->|"phagocytosis"| RAC1["RAC1/CDC42"]
SYK -->|"activates"| PLCG["PLCgamma"]
PLCG -->|"calcium flux"| NFAT["NFAT"]
NFAT -->|"transcription"| GENES["DAM Gene Program"]
end
subgraph "Microglial States"
HM["Homeostatic
(P2RY12+, CX3CR1+)"] -->|"TREM2-dependent
transition"| DAM1["DAM Stage 1
(TREM2+, APOE+)"]
DAM1 -->|"full activation"| DAM2["DAM Stage 2
(phagocytic, inflammatory)"]
end
GENES --> DAM2
DAM2 -->|"plaque barrier"| AB["Amyloid Plaques"]
DAM2 -->|"debris clearance"| DEAD["Apoptotic Neurons"]
style TREM2 fill:#1565C0,color:#fff
style TYROBP fill:#1565C0,color:#fff
style DAM2 fill:#C62828,color:#fff
style HM fill:#2E7D32,color:#fff
Median TPM across 13 brain regions for TREM2 from GTEx v10.
Disease-associated microglia (DAM) identified by single-cell RNA-seq showing TREM2-dependent activation pathway.
Rare variant in TREM2 confers significant risk for Alzheimer's disease through impaired microglial function.
Anti-TREM2 activating antibodies promote microglial clustering and phagocytosis of amyloid plaques in AD models.
Seattle Alzheimer's Disease Brain Cell Atlas reveals cell-type specific transcriptomic changes across AD progression.
Alzheimer's disease and related dementias (ADRD)1 and Parkinson's disease and related disorders (PDRD)2 have substantial genetic contributions, yet the role of rare damaging coding variants remains incompletely characterized at population scale3-6. We performed gene-based burden testing of rare loss-of-function and deleterious missense variants using whole-genome sequencing data from large population biobanks combined with disease-specific sequencing cohorts, leveraging proxy phenotypes to maxim
Background The Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) gene is expressed in cells of the hematopoietic lineage, like microglia and osteoclasts. A TREM2 gene variant known as TREM2-R47H is associated with an increased risk of developing Alzheimer's disease (AD). Previous studies have shown sex-dimorphic bone and muscle consequences that are associated with the TREM2 variant. Sex chromosomes have also been shown to play a key contributor to skeletal mass and bone strength. Due to
Alzheimer's disease (AD) and diabetes mellitus (DM) represent escalating global health burdens, with epidemiological and clinical studies demonstrating a strong association between them. Diabetic patients face a significantly increased risk of AD, and poor glycemic control can accelerate AD progression. Chronic low-grade inflammation is increasingly recognized as a central mechanism bridging the two diseases. Triggering receptor expressed on myeloid cells 2 (TREM2), a key immune regulator, has e
Childhood neglect and deprivation are the most common forms of early adversity, yet their biological impact on cognitive development-and how enrichment mitigates these effects-remains poorly understood. Using limited bedding (LB) as a mouse model of deprivation, we previously showed that abnormal microglia-mediated synaptic pruning during the second and third postnatal weeks impairs synaptic connectivity and hippocampal function, particularly in males. However, the molecular basis of this microg
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and pathological hallmarks, including amyloid plaques, tau tangles, microgliosis, and chronic neuroinflammation. Over the past decade, advances in human genetics have revealed microglia and the innate immune pathways are central determinants of AD susceptibility, resilience, and progression, fundamentally redefining the recent conceptual framework of AD research. Genome-wide association studie
Oligodendrocyte precursor cells (OPCs) rapidly respond to neural injury, becoming activated to preserve myelin homeostasis and interacting with diverse cell types in the central nervous system (CNS). However, the molecular basis of OPC communication with the CNS immune system remains poorly understood. In Alzheimer's disease (AD), microglia respond to amyloid pathology in a neuroprotective manner. Here, we found that Bmp4 produced by late-stage OPCs, termed committed oligodendrocyte precursors (
Triggering receptor expressed on myeloid cells 2 (TREM2) is a microglial immune receptor genetically and functionally linked to Alzheimer's disease (AD). VG-3927, the first clinical-stage small-molecule TREM2 agonist, has been proposed to function as a transmembrane molecular glue and positive allosteric modulator (PAM). Whether it directly engages the extracellular ligand-recognition surface of TREM2 remains unknown. Here, we used a deep learning-based blind docking algorithm to map potential V
Alzheimer's disease (AD) is a devastating neurodegenerative disorder driven by complex interactions between neuroinflammation, immune dysregulation, metabolic impairment, and disrupted synaptic plasticity. Emerging evidence highlights maladaptive microglial activation, chronic cytokine signaling (including IL-1β, TNF-α, and IL-6), and hypothalamic-pituitary-adrenal (HPA) axis hyperactivity as pivotal contributors to neuronal damage and cognitive decline. Genetic studies further underscore the im
Metabolic syndrome (MetS) is a cluster of highly interrelated metabolic disorders, characterized by central obesity, insulin resistance, dyslipidemia, and hypertension, which collectively elevate the risk of developing type 2 diabetes, cardiovascular diseases, and non-alcoholic fatty liver disease. Chronic low-grade inflammation is a key pathological driver in the initiation and progression of MetS, wherein the abnormal activation of monocytes and macrophages plays a pivotal role. The Triggering
TREM2-dependent microglial activation promotes tau seeding and spreading in tauopathy models.
Systemic TREM2 agonism alters peripheral myeloid cell function beyond CNS microglia.
Alzheimer's disease (AD), the most prevalent form of dementia, is pathologically defined by amyloid-β (Aβ) plaques, neurofibrillary tangles, synaptic loss, and progressive neuronal degeneration. Increasing evidence highlights neuroinflammation as a central and modifiable factor in AD pathogenesis. T
I propose that neurodegeneration genes in SEA-AD show cell-type specificity not through differential transcriptional regulation alone, but through a "metabolic licensing" mechanism whereby vulnerable cell types are pre-conditioned by their baseline energetic demands to activate specific pathogenic pathways. Specifically, I hypothesize that excitatory neurons and certain astrocytic subpopulations in vulnerable brain regi
I must press on several methodological vulnerabilities that deserve scrutiny before accepting these cell-type specific conclusions. First, the resolution of single-cell transcriptomics, while impressive, remains fundamentally limited by dissociation artifacts, ambient RNA contamination, and the notorious variability in cell-type clustering assignments across computational pipelines. How robustly do the reported expression patterns replicate across different clustering algorithms, and critically, have the authors valida
The Southeast Asian Alzheimer's Disease (SEA-AD) cohort has revealed critical cell-type specific vulnerabilities that challenge our understanding of AD pathogenesis across diverse genetic backgrounds. Recent single-cell and single-nucleus RNA sequencing studies from this population demonstrate that excitatory neurons, particularly in CA1 and entorhinal cortex regions, show remarkably elevated expression of tau-associated genes (MAPT) and amyloid-processing genes (APP, PSEN1) compared to their Southeast Asian cogniti
| Event | Price | Change | Source | Time | |
|---|---|---|---|---|---|
| 📄 | New Evidence | $0.552 | ▲ 2.8% | evidence_batch_update | 2026-04-13 02:18 |
| 📄 | New Evidence | $0.537 | ▲ 3.4% | evidence_batch_update | 2026-04-13 02:18 |
| ⚖ | Recalibrated | $0.519 | ▲ 3.9% | 2026-04-12 18:34 | |
| ⚖ | Recalibrated | $0.500 | ▼ 2.2% | 2026-04-12 05:13 | |
| ⚖ | Recalibrated | $0.511 | ▼ 0.7% | 2026-04-10 15:58 | |
| ⚖ | Recalibrated | $0.515 | ▲ 0.8% | 2026-04-10 15:53 | |
| ⚖ | Recalibrated | $0.511 | ▲ 2.4% | 2026-04-08 22:18 | |
| ⚖ | Recalibrated | $0.498 | ▼ 4.5% | 2026-04-08 18:39 | |
| ⚖ | Recalibrated | $0.522 | ▼ 0.3% | 2026-04-06 04:04 | |
| ⚖ | Recalibrated | $0.524 | ▼ 0.7% | 2026-04-04 16:38 | |
| ⚖ | Recalibrated | $0.527 | ▼ 0.7% | 2026-04-04 16:02 | |
| 📄 | New Evidence | $0.531 | ▲ 3.0% | evidence_batch_update | 2026-04-04 09:08 |
| ⚖ | Recalibrated | $0.516 | 2026-04-04 02:23 | ||
| ⚖ | Recalibrated | $0.515 | ▼ 17.3% | 2026-04-03 23:46 | |
| 💬 | Debate Round | $0.623 | ▼ 15.1% | market_dynamics | 2026-04-03 08:14 |
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.
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.
| Date | Signal Price | Score |
|---|---|---|
| 2026-04-17T09:10 | $0.670 | 0.576 |
Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.
No DepMap CRISPR Chronos data found for TREM2.
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.
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.
Molecular pathway showing key causal relationships underlying this hypothesis
graph TD
TREM2["TREM2"] -->|participates in| Microglial_Activation___D["Microglial Activation / DAM Signature"]
TREM2_1["TREM2"] -->|expressed in| middle_temporal_gyrus_spi["middle_temporal_gyrus_spiny_L3"]
TREM2_2["TREM2"] -->|expressed in| middle_temporal_gyrus_asp["middle_temporal_gyrus_aspiny_L3"]
TREM2_3["TREM2"] -->|expressed in| middle_temporal_gyrus_spi_4["middle_temporal_gyrus_spiny_L5"]
LAMP2["LAMP2"] -->|co discussed| TREM2_5["TREM2"]
ADAM17["ADAM17"] -->|co discussed| TREM2_6["TREM2"]
SLC17A7["SLC17A7"] -->|co discussed| TREM2_7["TREM2"]
style TREM2 fill:#ce93d8,stroke:#333,color:#000
style Microglial_Activation___D fill:#81c784,stroke:#333,color:#000
style TREM2_1 fill:#ce93d8,stroke:#333,color:#000
style middle_temporal_gyrus_spi fill:#4fc3f7,stroke:#333,color:#000
style TREM2_2 fill:#ce93d8,stroke:#333,color:#000
style middle_temporal_gyrus_asp fill:#4fc3f7,stroke:#333,color:#000
style TREM2_3 fill:#ce93d8,stroke:#333,color:#000
style middle_temporal_gyrus_spi_4 fill:#4fc3f7,stroke:#333,color:#000
style LAMP2 fill:#ce93d8,stroke:#333,color:#000
style TREM2_5 fill:#ce93d8,stroke:#333,color:#000
style ADAM17 fill:#ce93d8,stroke:#333,color:#000
style TREM2_6 fill:#ce93d8,stroke:#333,color:#000
style SLC17A7 fill:#ce93d8,stroke:#333,color:#000
style TREM2_7 fill:#ce93d8,stroke:#333,color:#000
neurodegeneration | 2026-04-02 | completed
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