Exact(12)
Molecular biomarkers for ionizing radiation exposure (gene expression changes, blood proteins) can be measured in real time using such diagnostic detection technologies as miniaturized nucleic acid sequences and antigen-based biosensors, but they require validation of dose-dependent targets and development of optimized protocols and analysis systems.
When predicting levels of radiation exposure, gene selection and identification is based on training the data and finding those genes most highly correlated to radiation exposure.
When predicting levels of radiation exposure, gene selection and identification is based on training the data and finding those genes most highly correlated to response.
Xenobiotic metabolism signaling and metabolism of xenobiotics by cytochrome P450 pathways were highly enriched in 2,6DNT, 4ADNT, 4ADNT and TNT exposure gene expression profiles.
We performed intraindividual differential (control vs. house dust exposure) gene expression analysis from four subjects of each exposure group.
However, after B[a]P exposure gene expression levels of the same cell cycle related genes were increased to comparable levels in both genotypes.
Similar(48)
In the case of the Aβ-Al complex exposure, genes investigated by quantitative PCR were found to be the same changed in the microarray assay (i.e.: APLP1, APLP2, MAPT; Figures S1 and S2).
The results from this study indicate that after 20 minutes of OPP exposure, genes involved in anaerobic metabolism and swarming motility were upregulated.
Our results suggest a complex gene expression response to BaP exposure in human cells; nevertheless, some clear time- and concentration-dependent gene expression responses were observed, highlighting the importance of using multiple concentrations and time-points in carcinogen-exposure gene expression studies.
These low-exposure gene responses with BMDs of approximately 1 ppm at each exposure duration "…likely represent extracellular responses to irritancy, reduction of extracellular/plasma membrane anti-oxidant thiols, and associated responses to maintain reduced thiols and export GSH to the extracellular spaces.
They showed that only the early-exposure gene signature had significant prognostic power, allowing the stratification of a cohort of patients with breast cancer into two groups: those with low expression of the early hypoxic response signature (better prognosis) and those with high expression of this signature (worse prognosis).
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