Physiological and Transcriptomic Dynamics During 23-Day High-Altitude Exposure

113 Chinese Han individuals were studied over a 23-day period at 4,104 meters to investigate acclimatization. The dataset includes physiological parameters and RNA-seq data from a subset of 48 participants, identifying 687 differentially expressed genes. Ling Chen authored this study, which was last updated on 2026-03 17.

Use Cases

• Modeling physiological trends like SpO2 and hemoglobin based on duration of acclimatization at high altitude (DAHA).
• Analyzing two distinct gene expression patterns (GEPs) associated with prolonged high-altitude exposure.
• Identifying hub genes for predicting acute mountain sickness (AMS) susceptibility based on the 583 upregulated and 104 downregulated genes found.
• Investigating the role of novel genes CDC34 and UBB in molecular responses to high altitude.

Strengths

• Data from 113 participants provides a substantial sample size for a human physiological study.
• Includes both physiological measurements and transcriptomic RNA-seq data from a 48-participant subset.
• Time-series analysis covers a 23-day period, allowing for the study of dynamic acclimatization processes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data reflects a specific geographic and demographic bias, focusing on Chinese Han individuals at a single location.

Provenance

Source

Ling Chen via figshare.

Collection Method

Cross-sectional study with physiological measurements and RNA-seq performed on blood samples.

Time Range

Study conducted over a 23-day exposure period.

Freshness

Last updated 2026-03-17 13:05:09; freshness should be verified.

Geography

High-altitude location at 4,104 meters; participants were Chinese Han individuals.