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Experiments with cell proliferation assay, flow cytometry, soft agar assay, tumorigenesis assay and DNA microarray analysis have shown that selected cell lines presented multiple biological changes in cell morphology, cell growth, tumorigenicity and gene expression.
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This is likely attributable to multiple causes including biological changes with ageing, coexisting chronic disease and concurrent medications.
Hlatky of Tufts predicts that progress in analyzing physiological networks, integrating data from multiple levels, and monitoring biological changes over time will have a major impact.
This approach takes advantage on the ability to detect positive and negative coordination patterns between gene pairs under multiple biological perturbations by comparing changes in the intensities of expression signals of treatment versus control in several repeated experiments for each biological perturbation.
This age-dependence has multiple natural reasons: the biological changes in tissues around the teeth during the eruption and exfoliation of teeth, the gradual development of the immune defence system and the endocrine system, all contributing to the maturation of the oral microbial communities [ 19].
During these stages adolescents experience multiple biological, cognitive and socio-emotional changes.
Small molecules act by simultaneously participating in multiple biological processes and triggering a variety of changes that lead to diverse reactions.
Toxicity pathways can be viewed as the series of biological changes, spanning across multiple levels of biological organization, that lead from some molecular initiating event (perturbation) to an adverse outcome.
These molecular changes are implicated in multiple biological and physiological functions, such as hepatic metabolism, inflammatory responses, and translation.
Overall, in large-scale analysis a realistic aim is to determine the global trend in relative changes and its consistency over multiple biological replicas.
The purpose of microarray data normalization is to minimize the array-level systematic bias, such that meaningful biological comparisons can be made and true biological changes can be found within one and multiple experiments.
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