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Further characterisation of these regulatory cells, their antigen specificity and their mechanisms is therefore imperative, as is the analysis of the potentially anergic effector T cell population which we have postulated.
For a proper analysis of the potentially causal relationship between exposure to volatile organic chemicals (VOCs) in drinking water and health events, it is essential to know T1, the time when exposure started, and C = f(T), which is the change of the VOC concentration C as a function of time T and the total accumulated exposure (TAE) to VOCs to which an individual was exposed.
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Microfluidics, however, are extremely attractive for blood analysis because of the potentially short assay turnaround times and the ability to design devices for point-of-care applications.
In agreement with our recent study (Al Murri et al, 2007), when potentially curative locoregional and systemic treatment based on hormonal receptor status were included in the multivariate survival analysis, none of the potentially prognostic clinicopathological and tumour-based inflammatory factors were independently significant.
Furthermore, genome scans can lead to spurious results in GO analysis because of the potentially large numbers of false positives, so we further reiterate the importance of experimental validation and aim to motivate detailed studies of individual candidate loci in the future [ 105].
Analysis of the genes potentially associated with radiological features showed much weaker transcriptome differences.
However, a precise analysis of the sites potentially driving GroEL functional changes in major bacterial groups has not been conducted before.
To identify the targets cleaved by the candidate miRNAs identified in the present study, the recently developed high-throughput degradome sequencing technology was adopted to perform a genome-wide analysis of the mRNAs potentially cleaved by the miRNAs [ 47].
On the basis of the presence of HPV DNA sequences women were separated into two groups: "infected" and "non infected" and a statistical analysis of the factors potentially associated with the infection group membership was carried out.
A comprehensive analysis of the genes potentially involved in organophosphorus pesticide metabolism is necessary to identify the individual single-nucleotide polymorphisms (SNPs) that contribute to individual variability in organophosphorus pesticide metabolism.
The results of the regression analysis of factors potentially influencing the apparent elimination rates for the occupationally related congeners are presented in Table 5.
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