Zhicheng Xiang published Table 1_Integrative multi-omics analysis reveals inflammation-related molecular networks in acute mountain sickness.xlsx on figshare in May 2026. The dataset likely contains results from an integrative analysis of bulk RNA-seq, non-coding RNA-seq, and single-cell RNA-seq datasets related to acute mountain sickness. It includes identified differentially expressed genes, enrichment analyses, and predicted regulatory networks.
Use Cases
- Validate predicted miRNA-mRNA regulatory networks based on the mention of hsa-miR-375.
- Explore cell-type-specific expression patterns based on the single-cell analysis of monocytes.
- Identify potential therapeutic targets based on the drug-gene network analysis highlighting HBEGF.
- Analyze pathway enrichment in the ErbB signaling pathway based on the Gene Ontology and KEGG results.
Strengths
- The analysis integrates three distinct sequencing datasets (bulk RNA-seq, non-coding RNA-seq, single-cell RNA-seq).
- Results include 323 differentially expressed genes and five inflammation-related genes.
- Experimental validation was performed using a hypobaric hypoxia-induced mouse model.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is 144.2 KB, indicating a very limited scope of presented results.
Provenance
- Source
- figshare
- Collection Method
- Integrative analysis of public RNA-seq datasets (GSE75665, GSE90500) and single-cell data.
- Freshness
- Last updated 2026-05-22 11:13:42; freshness should be verified.