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Data · dataset · 2025

Microarray Data and Metabolomics Data Related to Mitochondrial Oxidative Stress Promoting Gastric Mucosal Injury in Portal Hypertensive Gastropathy Under Hypoxia

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This dataset includes microarray data and metabolomics data from the study of portal hypertensive gastropathy (PHG), aiming to provide data support for analyzing the molecular mechanism by which mitochondrial oxidative stress promotes gastric mucosal injury in PHG under hypoxia.

Description

The microarray data were obtained from gastric mucosal biopsy tissues of PHG patients and healthy controls. Using microarray technology, the differentially expressed genes between the two groups were detected, focusing on the expression differences of glycolysis-related genes (such as lactate dehydrogenase A (LDHA), hexokinase-2 (HK2), pyruvate kinase isozyme type M2 (PKM2), etc.) and genes related to mitochondrial structure and oxidative respiration pathways.

These data can be used to explore key genes and signaling pathways associated with PHG pathogenesis. The metabolomics data were collected from gastric mucosal tissues of portal hypertension (PHT) mice and normal control mice, detected by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) technology. The types and content changes of metabolites in the two groups were analyzed, with particular attention to the differences in organic acid metabolism (such as lactic acid) and carbohydrate metabolism-related metabolites, providing data basis for revealing the metabolic reprogramming characteristics of gastric mucosal tissues under PHG conditions.

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All sample collection and experimental operations in the dataset have obtained ethical approval, and the data quality has been strictly verified. It can be used as an important basic data resource for PHG molecular mechanism research and potential therapeutic target screening, and is available for researchers in related fields.

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Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.2964812 d agoJSON v1
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