Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
genes decrease » sizes decrease (Expand Search), greatest decrease (Expand Search), levels decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
genes decrease » sizes decrease (Expand Search), greatest decrease (Expand Search), levels decreased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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Significant inter-relationships between baseline variables and MSCC or MCS.
Published 2025Subjects: -
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Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.
Published 2024“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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DataSheet1_Pharmacological inhibition of receptor protein tyrosine phosphatase β/ζ decreases Aβ plaques and neuroinflammation in the hippocampus of APP/PS1 mice.docx
Published 2024“…In addition, we observed a significant decrease in the number and size of astrocytes in both sexes and in the number of microglial cells in a sex-dependent manner. …”
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Autophagy significantly influences the apoptotic levels of RGCs in glaucomatous mouse eyes.
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The top 10 putative metabolites with the largest negative fold change between normal and thin cows.
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The top 10 putative metabolites with the largest positive fold change between normal and thin cows.
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The principal component analysis (PCA) plot utilized in the quality assurance process.
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