2023
DOI: 10.1016/j.cej.2022.140068
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Dissecting the molecular mechanisms of producing biofuel and value-added products by cadmium tolerant microalgae as sustainable biorefinery approach

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Cited by 22 publications
(8 citation statements)
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“…Metabolite(s) concentration data set was preprocessed using interquartile range data filtering, sample normalization using median, accompanied with square root transformation, followed by pareto scaling. The normalized data set was analyzed using the univariate and multivariate statistical analyses in order to highlight the metabolic differences between the Rb patients and controls. Univariate analysis was performed using the Log2 fold change and t test to identify the statistically significant metabolites exhibiting the relative fold change (FC ≥ 1.4) in their concentrations among the two groups. , …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Metabolite(s) concentration data set was preprocessed using interquartile range data filtering, sample normalization using median, accompanied with square root transformation, followed by pareto scaling. The normalized data set was analyzed using the univariate and multivariate statistical analyses in order to highlight the metabolic differences between the Rb patients and controls. Univariate analysis was performed using the Log2 fold change and t test to identify the statistically significant metabolites exhibiting the relative fold change (FC ≥ 1.4) in their concentrations among the two groups. , …”
Section: Methodsmentioning
confidence: 99%
“…Univariate analysis was performed using the Log2 fold change and t test to identify the statistically significant metabolites exhibiting the relative fold change (FC ≥ 1.4) in their concentrations among the two groups. 124,125 Multivariate statistical analysis, which includes principal component analysis (PCA), and partial least-squares discriminant analysis (PLS-DA) were conducted to identify the imperative metabolites contributing to the discrimination of the two groups. PCA is an unsupervised statistical analysis method which was used to obtain an overall grouping trend and to decode the outliers on the basis of variance across the data set.…”
Section: Nmr Data Processing and Metabolitementioning
confidence: 99%
“…Using western blotting, it was found by Guo et al [22] that overweight protection was achieved by microalgae polysaccharides through increased lipolysis and decreased lipogenesis in the liver. Other investigators [23] found that the metabolic rewiring in the tricarboxylic acid (TCA) intermediates, amino acid metabolism and starch metabolism helps the cells to concentrate carbon pools for producing neutral lipids. It has also been suggested [24] that simultaneous inorganic carbon supply and pH control can be a cost-effective measure without compromising biomass and lipid productivities if the sole use of bicarbonates is applied in microalgae culture.…”
Section: Microalgae Biomassmentioning
confidence: 99%
“…The development of biomarkers for various metabolic diseases has played a crucial role that predates clinical manifestations. Further, the NMR technique has also been used in algae and seaweeds recently to extract metabolite information of Cd tolerance, 17 metabolite characterization in Ulva lactuca, Gracilaria dura and Sargassum tenerrimum, 18 and signature metabolite identification of wild as well as cultured strains of G. dura. 19 The understanding of biological processes at a molecular level is pivotal in elucidating how the active conformations of molecules is achieved on differential time scales.…”
Section: Introductionmentioning
confidence: 99%