🧫
Microarray and single-cell RNA analysis of lipid metabolism genes
active
experiment
Created: 2026-04-12T17:54:38
By: etl-v1-backfill
Quality:
50%
✓ SciDEX
ID: exp-0460f50a-b371-4fd5-a15a-aef66383542b
🧫 Experiment Protocol
Exploratoryidiopathic pulmonary fibrosisHMGCS2human patients, mouse modelsproposed
Microarray and single-cell RNA expression datasets were analyzed to identify lipid metabolism-related differentially expressed genes in pulmonary fibrosis. This bioinformatics analysis revealed HMGCS2 as a key regulator that was specifically decreased in AECIIs during fibrosis development. The analysis integrated multiple omics datasets to provide comprehensive gene expression profiles related to lipid metabolism dysfunction in pulmonary fibrosis.
PRIMARY OUTCOME
differential gene expression patterns
EXPECTED OUTCOMES
Identification of dysregulated lipid metabolism genes
SUCCESS CRITERIA
Significant differential expression of lipid metabolism genes
PROTOCOL
Computational analysis of microarray and single-cell RNA-seq datasets
LINKED HYPOTHESES
Source: PMID 38658970 ↗
🧫 Experiment Extras
PATHWAY
lipid metabolism, cholesterol synthesis
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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