Calibration curve for radiation dose estimation using FDXR gene expression biodosimetry - premises and pitfalls.
Kamil BrzóskaMichael AbendGrainne O'BrienEric GregoireMatthias PortChristophe BadiePublished in: International journal of radiation biology (2024)
Methodological differences in reference genes and primers/probes used for FDXR expression measurement do not have a significant impact on the dose estimates generated, provided that all reference genes performed as expected and the primers/probes target a similar set of transcript variants. The preferred method for constructing a calibration curve based on FDXR expression data involves employing linear regression to establish a function that describes the relationship between the logarithm of absorbed dose and FDXR ΔCt values. However, one should be careful with using non-irradiated sample data as these cannot be accurately represented on a logarithmic scale. A standard curve generated using this approach can give reliable dose estimations in a dose range from 50 mGy to 4 Gy at least.
Keyphrases
- gene expression
- poor prognosis
- small molecule
- genome wide
- electronic health record
- computed tomography
- dna methylation
- fluorescence imaging
- magnetic resonance imaging
- living cells
- copy number
- long non coding rna
- machine learning
- image quality
- rna seq
- bioinformatics analysis
- magnetic resonance
- positron emission tomography
- contrast enhanced
- genome wide identification
- nucleic acid
- single cell
- genome wide analysis