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Dilokthornsakul W, Dhippayom T, Dilokthornsakul P

Tang et al., 2020

Photosynthesis is a key physiological indicator of a plants synthetic function, and chlorophyll content is closely related to photosynthetic capacity ( Figure 1 3.5.2 Principal component analysis Principal Component Analysis (PCA) is a statistical technique used to identify the main components that explain the maximum variance in a dataset, thereby reducing dimensionality and focusing on the most critical variables affecting quality ( Table 7 , including variance contribution rates, cumulative variance contribution rates, and factor loadings

Research has indicated that SREBP-1 can upregulate the expression of ASCT2, which is responsible for the release of ammonia using promoting glutamine metabolism

Lane 1: Mouse kidney tissue lysate (40 g/Lane) Lane 2: Mouse liver tissue lysate (negative) (40 g/Lane) Lane 3: Rat kidney tissue lysate (40 g/Lane) Predicted band size: 26 kDa Observed band size: 22 kDa Exposure time: 25 seconds