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资源简介：
Meta-regression for oxidative markers in serum.
应用场景：
创建时间：
2016-12-02
相关数据集
Descriptive statistics for oxidative stress biomarkers.
Superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX), glutathione reductase (GR) and thiobarbituric acid reactive substances (TBARS), in serum from wild boar experimentally infecte
NIAID Data Ecosystem80
Comparing the blood response to hyperbaric oxygen with high intensity exercise - a cross-over study in healthy volunteers to evaluate biomarkers of oxidative stress (EPM 2019-01864)
The dataset comprise experimental data (baseline and physiological parameters), qPCR data and RNA seq data from 10 healthy subjects from the HIITO2 pilot study. 10 healthy volunteers performed
NIAID Data Ecosystem50
Summary statistics of the studies investigating the agents included in meta-regression analyses.
Summary statistics of the studies investigating the agents included in meta-regression analyses.
NIAID Data Ecosystem30
Cellular and extracellular tRNA-derived fragments demonstrate distinct signatures in cellular stress. Cellular and extracellular tRNA-derived fragments demonstrate distinct signatures in cellular stress
The cellular response to stress is an important determinant of disease pathogenesis. Uncovering the molecular fingerprints of distinct stress responses may yield novel biomarkers for different disease
NIAID Data Ecosystem50
Data for Rates of warming impact oxidative stress in zebrafish (Danio rerio)
Potentially negative effects of thermal variation on physiological functions may be modulated by compensatory responses, but their efficacy depends on the timescale of phenotypic adjustment relative t
NIAID Data Ecosystem40
