🧫
scRNA-seq analysis of human atherosclerotic plaques
active
experiment
Created: 2026-04-06T12:27:57
By: etl-v1-backfill
Quality:
50%
✓ SciDEX
ID: exp-135b71a2-0188-416a-8590-be357e09a4f0
🧫 Experiment Protocol
ExploratoryAtherosclerosisC1QA, C1QC, SPI1human atherosclerotic plaque samplesproposed
Single-cell RNA sequencing analysis was performed on human atherosclerotic plaque samples to identify cell clusters and complement C1Q-related differentially expressed genes. The analysis identified 24 cell clusters and 12 cell types from the scRNA-seq dataset (GSE159677). Seven C1Q-associated differentially expressed genes were identified in both the scRNA-seq and bulk RNA-seq datasets. Machine learning algorithms including GBM, LASSO, and XGBoost were used to select C1QA and C1QC as hub genes from the seven DEGs. The study also identified SPI1 as a potential transcription factor regulating these hub genes in human atherosclerotic plaques.
PRIMARY OUTCOME
Identification of C1Q-related hub genes
EXPECTED OUTCOMES
Identification of C1Q-related genes associated with atherosclerotic plaques
SUCCESS CRITERIA
Satisfactory diagnostic accuracy in training and validation cohorts
PROTOCOL
scRNA-seq data analysis using GEO dataset GSE159677, machine learning algorithms (GBM, LASSO, XGBoost), ssGSEA pathway scoring, ROC analysis
LINKED HYPOTHESES
Source: PMID 38179058 ↗
🧫 Experiment Extras
PATHWAY
HALLMARK_COMPLEMENT signaling pathway
MARKET PRICE
$0.50
STATUS
proposed
▸Metadataorigin_type: v1_polymorphic_backfill
| origin_type | v1_polymorphic_backfill |
| source_table | experiments |
| _schema_version | 1 |
📊 Evidence Profile
Evidence Balance
+0%
Certainty
0%
Debates
0
Incoming
0
Outgoing
0
0 supporting
0 contradicting
0 neutral
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