HAHmiR DB

HAHmiR DB curates experimentally validated human microRNAs (miRNAs) associated with high-altitude (HA) stress and enables analysis of their regulatory interactions to study molecular responses and adaptation to high-altitude conditions.

Key Features:

• Curated miRNA repository: Contains experimentally validated human miRNAs associated with high-altitude stress.
• Expression and experimental metadata: Records expression levels across different altitudes, fold changes, duration of experiments, and tissue-specific expression.
• Biomarker, disease, and drug associations: Links miRNAs to reported biomarkers, diseases, and drugs.
• miRNA–TF–gene coregulatory networks: Constructs and analyzes interactive miRNA-transcription factor (TF)-gene coregulatory networks.
• Multi-miRNA network analysis: Supports construction and analysis of networks involving two or more miRNAs to examine combinatorial interactions.
• Regulatory circuit identification: Identifies regulatory circuits including Feed Forward Loops (FFLs).
• Functional annotation: Integrates Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway associations.

Scientific Applications:

• Mechanistic regulation: Investigate miRNA and transcription factor combinatorial regulation and identify Feed Forward Loops underlying HA adaptation.
• Expression profiling: Compare miRNA expression across altitudes, experimental durations, and tissues to link molecular changes with HA exposure.
• Clinical and biomarker correlation: Correlate miRNA signatures with reported biomarkers, diseases, and drug associations relevant to high-altitude physiology.
• Pathway analysis: Map miRNA-associated targets to GO terms and KEGG pathways to elucidate biological processes involved in HA stress responses.

Methodology:

Curation of experimentally validated miRNAs, construction and analysis of interactive miRNA–TF–gene coregulatory networks with identification of Feed Forward Loops (FFLs), and integration of Gene Ontology (GO) and KEGG pathway associations.