ArticleRadiation and environmental biophysics2014
Cell cycle delay in murine pre-osteoblasts is more pronounced after exposure to high-LET compared to low-LET radiation.
Article in Radiation and environmental biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Impact of hypoxia on the double-strand break repair after photon and carbon ion irradiation of radioresistant HNSCC cells.Scientific reports · 2020Article
- Radiosensitization of NSCLC cells to X-rays and carbon ions by the CHK1/CHK2 inhibitor AZD7762, Honokiol and Tunicamycin.Radiation and environmental biophysics · 2020Article
- Article
- Dose- and Ion-Dependent Effects in the Oxidative Stress Response to Space-Like Radiation Exposure in the Skeletal System.International journal of molecular sciences · 2017Article
- Article
- Higher Initial DNA Damage and Persistent Cell Cycle Arrest after Carbon Ion Irradiation Compared to X-irradiation in Prostate and Colon Cancer Cells.Frontiers in oncology · 2016Article
- The Effect of OSM on MC3T3-E1 Osteoblastic Cells in Simulated Microgravity with Radiation.PloS one · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Space radiation contains a complex mixture of particles comprised primarily of protons and high-energy heavy ions. Radiation risk is considered one of the major health risks for astronauts who embark on both orbital and interplanetary space missions. Ionizing radiation dose-dependently kills cells, damages genetic material, and disturbs cell differentiation and function. The immediate response to ionizing radiation-induced DNA damage is stimulation of DNA repair machinery and activation of cell cycle regulatory checkpoints. To date, little is known about cell cycle regulation after exposure to space-relevant radiation, especially regarding bone-forming osteoblasts. Here, we assessed cell cycle regulation in the osteoblastic cell line OCT-1 after exposure to various types of space-relevant radiation. The relative biological effectiveness (RBE) of ionizing radiation was investigated regarding the biological endpoint of cellular survival ability. Cell cycle progression was examined following radiation exposure resulting in different RBE values calculated for a cellular survival level of 1 %. Our findings indicate that radiation with a linear energy transfer (LET) of 150 keV/μm was most effective in inducing reproductive cell killing by causing cell cycle arrest. Expression analyses indicated that cells exposed to ionizing radiation exhibited significantly up-regulated p21(CDKN1A) gene expression. In conclusion, our findings suggest that cell cycle regulation is more sensitive to high-LET radiation than cell survival, which is not solely regulated through elevated CDKN1A expression.
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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.