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 Interference (RNAi) Therapies for NeurodegenertherapeuticRNA-Based Therapeutics for Neurodegenerative DiseatherapeuticRNA Targeting Therapy for NeurodegenerationtherapeuticRNA-Targeting Therapies for Neurodegenerative DisetherapeuticRNA-Based Therapeutics for Alzheimer's DiseasetherapeuticRNA Editing TherapeuticstechnologyGBM Protein — Glioblastoma MultiformeproteinC1QC ProteinproteinC1Q Protein (Complement Component 1q)proteinRNA Toxicity PathwaymechanismRNA-Targeted Therapeutics Investment SynthesismechanismRNA-Targeted Therapies in NeurodegenerationmechanismRNA Stability and DecaymechanismRNA Splicing Defects 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

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