ArticleBMC genomics2012
Comparison of low and high dose ionising radiation using topological analysis of gene coexpression networks.
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Effects of High-Dose Ionizing Radiation in Human Gene Expression: A Meta-Analysis.International journal of molecular sciences · 2020Pooled it
- miR-765 as a promising biomarker for low-dose radiation-induced pulmonary fibrosis.Non-coding RNA research · 2024Article
- Short- and long-term effects of radiation exposure at low dose and low dose rate in normal human VH10 fibroblasts.Frontiers in public health · 2023Article
- High-throughput screening strategies for space-based radiation countermeasure discovery.Life sciences in space research · 2022Review
- Radiation-response in primary fibroblasts of long-term survivors of childhood cancer with and without second primary neoplasms: the KiKme study.Molecular medicine (Cambridge, Mass.) · 2022Article
- Comparison of time and dose dependent gene expression and affected pathways in primary human fibroblasts after exposure to ionizing radiation.Molecular medicine (Cambridge, Mass.) · 2020Article
- The Role of the Nuclear Factor κB Pathway in the Cellular Response to Low and High Linear Energy Transfer Radiation.International journal of molecular sciences · 2018Article
- Phosphoprotein profiles of candidate markers for early cellular responses to low-dose γ-radiation in normal human fibroblast cells.Journal of radiation research · 2017Article
- Radiation Metabolomics: Current Status and Future Directions.Frontiers in oncology · 2016Review
- Global Gene Expression Alterations as a Crucial Constituent of Human Cell Response to Low Doses of Ionizing Radiation Exposure.International journal of molecular sciences · 2015Review
- Chronic low-dose γ-irradiation of Drosophila melanogaster larvae induces gene expression changes and enhances locomotive behavior.Journal of radiation research · 2015Article
- Intensity modulated radiotherapy induces pro-inflammatory and pro-survival responses in prostate cancer patients.International journal of oncology · 2014Article
- iPSC-derived neurons as a higher-throughput readout for autism: promises and pitfalls.Trends in molecular medicine · 2014Review
- Donor-specific cell-based assays in studying sensitivity to low-dose radiation: a population-based perspective.Frontiers in public health · 2014Review
- Differential network analyses of Alzheimer's disease identify early events in Alzheimer's disease pathology.International journal of Alzheimer's disease · 2014Article
- Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia.BMC medical genomics · 2013Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe growing use of imaging procedures in medicine has raised concerns about exposure to low-dose ionising radiation (LDIR). While the disastrous effects of high dose ionising radiation (HDIR) is well documented, the detrimental effects of LDIR is not well understood and has been a topic of much debate. Since little is known about the effects of LDIR, various kinds of wet-lab and computational analyses are required to advance knowledge in this domain. In this paper we carry out an "upside-down pyramid" form of systems biology analysis of microarray data. We characterised the global genomic response following 10 cGy (low dose) and 100 cGy (high dose) doses of X-ray ionising radiation at four time points by analysing the topology of gene coexpression networks. This study includes a rich experimental design and state-of-the-art computational systems biology methods of analysis to study the differences in the transcriptional response of skin cells exposed to low and high doses of radiation.
resultsUsing this method we found important genes that have been linked to immune response, cell survival and apoptosis. Furthermore, we also were able to identify genes such as BRCA1, ABCA1, TNFRSF1B, MLLT11 that have been associated with various types of cancers. We were also able to detect many genes known to be associated with various medical conditions.
conclusionsOur method of applying network topological differences can aid in identifying the differences among similar (eg: radiation effect) yet very different biological conditions (eg: different dose and time) to generate testable hypotheses. This is the first study where a network level analysis was performed across two different radiation doses at various time points, thereby illustrating changes in the cellular response over time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.