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The optimization of experimental conditions was made through an univariate approach, in order to find the best conditions for norfloxacin phosphorescence, followed by a 23 factorial design in order to verify interaction among relevant variables, to check robustness for each variable and to perform final adjustment of parameters.
This extension can be used as a second step in an analysis to verify interaction, conditional on observing a significant MDR or MDR-PDT result.
To independently verify interaction between GLTP and δ-catenin, we used affinity pull-down approaches to assess the binding of δ-catenin overexpressed in HEK 293T cells by GST-GLTP.
Luciferase reporter assay was used to verify interaction between miRNA and target messenger RNA (mRNA).
To verify interaction of DGC-proteins with MLC1, immunoprecipitation experiments were performed using human control brain lysates.
We subsequently proceeded with western blot analysis of respiratory chain enzymes extracted using 0.08% DDM in order to verify interaction of the NDUFA4 protein with complex IV.
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Additional information, such as experimental methods used to verify interactions, type of interaction (i.e. activation, inhibition), subcellular localization, internal and external stimulation (i.e. hormone, drought), was also collected from the published literature.
Co-expression tools are usually employed to verify interactions in a single organism, but they can be used also to verify if interactions are preserved among different species.
Western and Northern blotting were used to verify interactions between EGF and progesterone in three breast cancer cell lines: T47D, MCF-7, and ZR-75.
Given that the number of known structures of human protein complexes increases by thousands every year, low-throughput and high-resolution X-ray/NMR methods can be used to complement and verify interactions obtained from HTP screens.
Besides, we intend to verify interactions between these IUGR types with environmental variations (nutrition, breast milk composition, maternal behavior), aiming at identifying early vulnerability for growth failure or obesity risk and its related metabolic consequences.
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