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Related Concept Videos

Biological Effects of Radiation02:59

Biological Effects of Radiation

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All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
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Dosimetry for Cell Irradiation using Orthovoltage 40-300 kV X-Ray Facilities
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Transcriptomics for radiation biodosimetry: progress and challenges.

Sally A Amundson1

  • 1Center for Radiological Research, Columbia University Irving Medical Center, New York, NY, USA.

International Journal of Radiation Biology
|May 10, 2021
PubMed
Summary
This summary is machine-generated.

Transcriptomic approaches offer a promising method for radiation dose assessment and injury prediction after radiological events. Further research is needed to ensure the reliability of gene expression signatures for emergency biodosimetry.

Keywords:
Ionizing radiationbiodosimetrydose reconstructiongene expressionradiological triage

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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
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Area of Science:

  • Radiation biology
  • Genomics
  • Biomedical science

Background:

  • Current biodosimetry methods face limitations in large-scale assessments.
  • Radiological or nuclear events necessitate rapid and accurate dose estimation for population triage.
  • Transcriptomic analysis offers a novel approach for radiation injury assessment.

Approach:

  • This review summarizes advances in transcriptomic-based biodosimetry.
  • It discusses model systems used for developing gene expression signatures.
  • The review examines challenges in applying these signatures to real-world scenarios.

Key Points:

  • Transcriptomic approaches can aid in dose reconstruction and injury prediction.
  • Gene expression signatures are being developed for radiation exposure assessment.
  • Individual variation and confounding factors pose challenges to signature robustness.

Conclusions:

  • Transcriptomic biodosimetry shows significant promise for radiological emergencies.
  • Further development is required to ensure gene expression signatures are robust and suitable for practical use.
  • Reliable gene expression signatures are crucial for effective radiation dose assessment and triage.