Transcriptomic profiling of astrocytes under three extracellular acidification conditions

Extracellular acidosis is a common feature of multiple pathological microenvironments, such as ischemia, tumors, inflammation, metabolic dysregulation, and tissue injury. Astrocytes are central regulators of brain homeostasis and are highly responsive to changes in extracellular pH. However, transcriptomic resources comparing different experimentally induced acidotic conditions in astrocytes remain limited. Here, we generated an RNA sequencing dataset for the mouse astrocyte cell line C8-D1A exposed to three extracellular acidification-related conditions, including lactic acid treatment, 15% CO2 exposure, and NaHCO3-low medium, together with untreated controls. This dataset captures both shared and condition-specific transcriptomic responses of astrocytes under distinct extracellular acidification paradigms. Functional enrichment analyses highlighted biological pathways related to stress response, metabolism, inflammatory signaling, and cellular adaptation to extracellular acidification. This RNA-seq dataset provides a useful resource for studying astrocyte responses to different forms of extracellular acidotic stress and may facilitate the identification of common and distinct molecular programs associated with acidification-relevant cellular states.