scRNA-seq analysis of human atherosclerotic plaques

Exploratory Score: 0.900 Price: $0.50 Atherosclerosis human atherosclerotic plaque samples Status: proposed

What This Experiment Tests

Exploratory experiment designed to discover new patterns targeting C1QA, C1QC, SPI1 in human atherosclerotic plaque samples. Primary outcome: Identification of C1Q-related hub genes

Description

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.

TARGET GENE
C1QA, C1QC, SPI1
MODEL SYSTEM
human atherosclerotic plaque samples
ESTIMATED COST
$0
TIMELINE
0 months
PATHWAY
HALLMARK_COMPLEMENT signaling pathway
SOURCE
extracted_from_pmid_38179058
PRIMARY OUTCOME
Identification of C1Q-related hub genes

Scoring Dimensions

Info Gain 0.00 (25%) Feasibility 0.00 (20%) Hyp Coverage 0.00 (20%) Cost Effect. 0.00 (15%) Novelty 0.00 (10%) Ethical Safety 0.00 (10%) 0.900 composite

📖 Wiki Pages

SPI1 Gene - PU.1geneRNA Granule Dysfunction in NeurodegenerationmechanismRNA Binding Fox-1 Homolog 2 (RBFOX2)geneC1QCgeneGLI Gene FamilygeneRNA Metabolism Dysregulation in Alzheimer's DiseasmechanismC1QA GenegeneRNA Binding Fox-3 Homolog (NeuN) (RBFOX3)geneRNA G-quadruplexes in NeurodegenerationmechanismRNA Therapeutics: Investment Landscape AnalysisinvestmentRNA Therapeutics for Neurodegeneration Investment investmentRNA Metabolism Dysfunction in Corticobasal SyndrommechanismRNA Binding Fox-1 Homolog 1 (RBFOX1)geneC1QA Gene — Complement Component 1q A ChaingeneRNA Metabolism in Neurodegenerationmechanism

Protocol

scRNA-seq data analysis using GEO dataset GSE159677, machine learning algorithms (GBM, LASSO, XGBoost), ssGSEA pathway scoring, ROC analysis

Expected Outcomes

Identification of C1Q-related genes associated with atherosclerotic plaques

Success Criteria

Satisfactory diagnostic accuracy in training and validation cohorts

Related Hypotheses (5)

Complement C1q Mimetic Decoy Therapy0.695
Complement C1QA Spatial Gradient in Cortical Layers0.678
Complement C1q Subtype Switching0.665
Complement-Mediated Synaptic Pruning Dysregulation0.612
Complement-Mediated Synaptic Protection0.580

Debate History (0)

No debates yet

Experiment Results (0)

No results recorded yet. Use POST /api/experiments/{id}/results to record a result.