Next Article in Journal
Visualization of Annular Gap Junction Vesicle Processing: The Interplay Between Annular Gap Junctions and Mitochondria
Next Article in Special Issue
Short and Long-Term Changes in Social Odor Recognition and Plasma Cytokine Levels Following Oxygen (16O) Ion Radiation Exposure
Previous Article in Journal
Metformin: A Candidate Drug for Renal Diseases
Previous Article in Special Issue
Effects of Space Flight on Mouse Liver versus Kidney: Gene Pathway Analyses
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Increased Chromosome Aberrations in Cells Exposed Simultaneously to Simulated Microgravity and Radiation

1
Radiation Institute for Science & Engineering, Prairie View A&M University, Prairie View, TX 77446, USA
2
Gunma University Initiative for Advanced Research, Gunma University, Maebashi, Gunma 371-8511, Japan
3
KBRwyle, 2400 NASA Parkway, Houston, TX 77508, USA
4
Heavy Ion Medical Center, Gunma University, Maebashi, Gunma 371-8511, Japan
5
Department of Radiation Oncology, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02114, USA
6
Department of Cadiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(1), 43; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms20010043
Submission received: 15 November 2018 / Revised: 17 December 2018 / Accepted: 19 December 2018 / Published: 22 December 2018
(This article belongs to the Special Issue Adaptation of Living Organisms in Space: From Mammals to Plants)

Abstract

:
Space radiation and microgravity (μG) are two major environmental stressors for humans in space travel. One of the fundamental questions in space biology research is whether the combined effects of μG and exposure to cosmic radiation are interactive. While studies addressing this question have been carried out for half a century in space or using simulated μG on the ground, the reported results are ambiguous. For the assessment and management of human health risks in future Moon and Mars missions, it is necessary to obtain more basic data on the molecular and cellular responses to the combined effects of radiation and µG. Recently we incorporated a μG–irradiation system consisting of a 3D clinostat synchronized to a carbon-ion or X-ray irradiation system. Our new experimental setup allows us to avoid stopping clinostat rotation during irradiation, which was required in all other previous experiments. Using this system, human fibroblasts were exposed to X-rays or carbon ions under the simulated μG condition, and chromosomes were collected with the premature chromosome condensation method in the first mitosis. Chromosome aberrations (CA) were quantified by the 3-color fluorescent in situ hybridization (FISH) method. Cells exposed to irradiation under the simulated μG condition showed a higher frequency of both simple and complex types of CA compared to cells irradiated under the static condition by either X-rays or carbon ions.

1. Introduction

A long-duration exploration mission, such as a mission to Mars, will require humans to live in space for up to 3 years. All living organisms undergo physiological changes in response to the space environment—microgravity (µG) in particular. It is well known that exposure to the µG environment causes a range of detrimental health effects on astronauts, including bone and muscle loss, cardiovascular deconditioning, and neurovestibular changes [1,2]. Some of these health effects have been observed in studies using ground-based analogs that simulate the µG condition [3].
The effects of gravity and microgravity on mammalian cells were known long before gravity effects on humans because cells can be exposed, relatively easily, to hypergravity by centrifugation and to simulated microgravity by using clinostats. Voluminous data on microgravity effects on cultured mammalian cells are now available from ground-based experiments using clinostats and also from experiments carried out on the International Space Station [4,5,6]. Some major changes noted in cultured mammalian cells when they are placed in a simulated [4,5,6] or true [7] microgravity environment include proliferation, motility, cytoskeletal reorganization, substrate adhesion, extracellular matrix synthesis, Ca2+ homeostasis, gene and protein expressions, and cell signaling. These changes are observed in many cell types, but the direction of changes (i.e., increase or decrease), such as for proliferation and motility, appears to depend on the cell type.
In addition to microgravity, cosmic radiation is another challenging factor in spaceflight. Deep space radiation risks arise primarily from solar energetic particles (SEPs) and galactic cosmic rays (GCR). Cosmic rays consist of approximately 85% protons and 14% helium ions (α particles), with the remaining 1% consisting of high-atomic-number and -energy (HZE) nuclei particles. During future missions back to the Moon or to Mars, astronauts will be exposed constantly to GCR and occasionally to particles from large solar particle events (SPE). Because the energy of some GCR particles is so high, it is difficult to shield the astronauts using conventional materials [8]. During a long-term deep space mission, astronauts will be exposed to 1–2 mSv/day of radiation and approximately half this value in interplanetary space and on planetary surfaces [9,10,11]. This amounts to a total estimated mission dose equivalent of ~1.01 Sv for a round trip to Mars consisting of 180 days of spaceflight (each way) and a stay of 500 days on the Martian surface during a particular solar cycle. Even though the flux levels of GCR particles are very low, the high-linear-energy-transfer (LET) particles produce dense ionization patterns as they pass through matter, so they have the ability to cause extensive damage to biomolecules.
Space radiation exposure may lead to an increase in cancer risk [12,13], degeneration of tissues such as cataract in the eye lens [14,15], and deleterious effects on the central nervous system such as reduced cognitive function and general neurological capacities [16]. At the cellular level, radiation induces DNA damage that needs to be fixed by the cellular repair mechanism. To counteract the potentially deleterious effects of DNA damage, cells activate the DNA damage response pathways which detect and repair DNA lesions. The specific repair pathway used to repair DNA depends on the types and complexity of the damage, and may not repair it properly. In addition to activating the DNA repair response, DNA damage also activates other signaling pathways such as those involved in cell cycle regulation and apoptosis.
Although space radiation and µG are two major environmental stressors encountered simultaneously during space travel, our understanding of the combined effects of these two space conditions on cells and organisms is limited. Nevertheless, there is a limited number of studies to assess whether simultaneous exposure of cells and organisms to µG and space radiation produces additive or synergistic consequences using a number of biological endpoints such as DNA damage response [17] in the International Space Station (ISS). Various organisms were pre-irradiated before space flight to test the effect of µG on the repair of radiation-induced DNA damage. The results are controversial. In some cases, no significant effects were found [18,19,20], while in some other studies, either enhanced effects [21,22] or suppressed effects [23] were noted. Although the reason for these variable results is not known, it is possible that they may be due to the diversity of the biological systems used for these studies under various different experimental conditions. For the assessment and management of human health risks in future Moon and Mars missions, it is necessary to obtain more data on the molecular and cellular responses to combined effects of radiation under µG.
In ground-based studies, two-dimensional rotators or 3-dimensional (3D) clinostats have been used to simulate μG. These devices can create a simulated gravitational environment whose time-averaged gravitational vector size becomes extremely small, hence μG. This condition is achieved by constantly and multidirectionally rotating samples [24]. However, problems arise when cells need to be irradiated at the same time. To perform the irradiation, it was necessary to stop the rotating device during the irradiation [25,26]. Stopping and restarting rotation may exert an additional gravitational stimulus on cells and may activate certain signaling cascades. Indeed, in our preliminary studies with endothelial cells, phosphorylation of several proteins was observed within 10–15 min after gravity changes, indicating that cells are able to respond to a new gravity condition rather quickly (Fujiwara, unpublished observation). Our results suggest that the experiments done by stopping and restarting clinostats would activate certain signaling events independently of radiation exposure. Thus, in order to understand the combined effects of μG and space radiation, it is important to keep the same μG condition before, during, and after exposure to radiation. In addition to these technical difficulties, the radiation types reported in most of these published studies are not comparable to deep space radiation in either quality or quantity [17].
In order to solve these problems, we recently developed systems by combining a 3D clinostat with synchronized irradiation systems (heavy-ion beam and X-ray) so that mammalian cells can be irradiated without stopping the rotation of the clinostat. In brief, this device is a 3D clinostat whose sample stage faces the direction of the irradiating beam at the time of pulse irradiation (0.2 s) of samples. This is achieved by synchronizing the heavy-ion irradiation with the position and orientation of the sample platform in the path of the irradiating beam. This apparatus is available at the Gunma University Heavy Ion Medical Center (GHMC) and has been described in detail by Ikeda et al. [27]. The irradiation is performed by a respiratory gating system used for heavy-ion radiotherapy [28]. The 3D clinostat controller enables beam irradiation by sending a signal to the gating system of the generator in synchrony with the correct orientation of the clinostat sample stage. We have also developed a 3D clinostat similarly synchronized to an X-ray irradiation system with a high-speed shutter [29]. Cells were cultured in an enclosed irradiation chamber [30,31] using a CO2-independent medium. The chamber was mounted onto the simulated μG apparatus and kept at 37 °C for the duration of the entire experiment. These devices allow us to study the combined effects of either high- or low-LET radiations on mammalian cells that are continuously exposed to simulated μG.
Chromosomal aberrations have been shown to increase in the lymphocytes of astronauts after long-duration missions of several months in space [32,33,34]. Chromosome exchanges, especially translocations, are positively correlated with many types of cancers, and are therefore a potential biomarker of cancer risk associated with radiation exposure [33,34,35,36]. In fact, the relative biological effectiveness (RBE) factors for chromosomal aberrations are similar to the RBEs observed for induction of solid tumors [35,37,38]. Fluorescence in situ hybridization (FISH) chromosome painting methods for the analysis of chromosome aberrations can provide more insight into the complexity of the damage induced by radiations. The results of FISH painting studies indicate that high-LET radiation induces a much higher frequency of complex chromosome damages than does low-LET radiation, and the rearrangements are of greater complexity [39,40,41,42,43]. Therefore, chromosomal aberrations are a useful biomarker for cancer risks and for comparisons with other biomarkers in the absence of human data for galactic cosmic ray effects [8,44]. In this study, we irradiated human fibroblasts (1BR-hTERT) under simulated microgravity with C-ions and X-rays and assessed the formation of chromosome aberrations.

2. Results

2.1. Cell Survival

Figure 1 shows the survival curves of fibroblasts irradiated by X-rays and 290 MeV/n C-ions under the static condition. Since cells were exposed with 0.2 s pulses under simulated μG conditions, the survival study was conducted with 0.2 s pulse exposure as well as continuous exposure. For each dose level, the cumulative dose level of pulse irradiation was the same as the dose by continuous exposure. Compared to typical survival curves with a shoulder in the lower dose ranges with X-rays, exponential survival curves for C-ions show no apparent shoulder. The survival curve was similar for both pulse and continuous exposures by C-ion beam. On the other hand, continuous X-ray exposure was more damaging to cells than pulse exposure. C-ions are more effective for cell killing compared to X-rays per unit dose.
The lethal dose 50 (LD50) value for X-ray pulse irradiation was 1.5 Gy, which is equivalent to 0.5 Gy C-ions exposure. Based on these results, we selected the doses of 0.5 Gy for C-ions and 0.5 and 1.5 Gy for X-rays to assess the combined effect of simulated μG and radiation.

2.2. Chromosome Aberrations

Figure 2 shows images of 3-color chromosome FISH in which chromosome 1 (red), chromosome 2 (green), and chromosome 4 (yellow) are identified. All chromosomes were labeled by DAPI (4,6-diamidino-2-phenylindole). Undamaged chromosomes are shown in Figure 2A. Other panels show chromosomes that are damaged in various ways (see figure legend). All types of detectable aberrations in chromosomes 1, 2, and 4 were scored, and the whole-genome equivalent frequencies of aberrations were calculated. Table 1 and Figure 3 show the frequencies of simple, complex, and total exchanges induced by X-ray and C-ion exposure under static and simulated μG conditions that were measured in premature chromosome condensation (PCC) collected at the first division after exposure (Figure 2). The frequencies of background CA in cells exposed to the static or simulated μG condition are average frequencies of several experiments on unirradiated cells. Simulated μG alone increased the background CA frequencies for the total, simple, and complex exchanges. With 0.5 Gy or 1.5 Gy X-ray and 0.5 Gy C-ion, the frequencies of both simple and complex exchanges were increased under the simulated μG condition compared to the static condition. Although 0.5 Gy of C-ion exposure and 1.5 Gy of X-ray exposure gave the same extent of cell survival, the level of chromosomal damage by 0.5 Gy C-ion was 2–3 times higher than 1.5 Gy X-ray. Our results suggest that the combined effects of μG and exposure to cosmic radiation are interactive in causing chromosome aberrations in human fibroblasts.

2.3. Simulation of Track Structure of Irradiation

The experimental data show that both the survival and the extent of chromosome aberrations depend on the type of radiation to which cells are exposed. At the scale of cells, which is roughly 50 × 50 × 15 µm3, the track structures of radiation used for this study differ greatly from one type to another. The radiation track structure may provide insights into understanding the different biological effects of radiation types. Figure 4 illustrates the radiation track structure within an irradiated volume of 10 × 10 × 5 µm3 by X-rays (The energy of the photons for this simulation is 60 keV. This energy corresponds to the characteristic energy emissions of X-ray sources. In reality, a bremsstrahlung component should be added to the energy spectra for most X-ray sources. Nevertheless, using the energy distribution from the spectra is not so important for this simulation as the characteristic energy emission is largely dominating. Furthermore, the contributions of bremsstrahlung photons would be to generate more electron tracks with similar energies to the irradiated volume) and 290 MeV/n C-ions simulated by the software RITRACKS (Relativistic Ion Tracks). This volume is roughly the size of the nucleus of a fibroblast. The dose to the volume is approximately 0.5 Gy in both cases. This dose was chosen to better illustrate the difference between irradiation by X-rays and C-ion beam. In Figure 4, on the left, electron tracks corresponding to Compton and photoelectrons are observed. On the right, 24 C-ion tracks are shown. The track cores, which are the linear structures, are clearly seen. The LET of the C-ions used for the simulation was 12.9 keV/μm. Although the irradiated volume received the same dose in both cases, the track structures and the pattern of energy deposition are quite different. Carbon ions and other ions in general have typical track structures composed by a track core, which is mostly linear and comprising dense ionizations, and a penumbra, which is composed by tracks generated by the secondary electrons. On the other hand, photons have large mean free paths (between two interactions) and are deflected with large angles. Therefore, Compton electrons and photoelectrons appear in random locations and directions in the irradiated volume.

3. Discussion

The interplay between radiation and simulated microgravity on CA is controversial. Manti et al. reported no effect of simulated μG created by a rotating wall vessel in human lymphocytes irradiated by X-ray or proton beam [45]. However, Mosesso et al. showed increased CA in human lymphocytes exposed to 1.5 Gy of X-rays and μG using a clinostat [46]. Their results are similar to our results obtained by using fibroblasts exposed to X-ray or C-ion beam on a clinostat. Increased mutation rates were also reported in human lymphoblastoids and lymphocytes in a rotating wall vessel and exposed to γ-rays or X-rays [47,48]. In all of these studies, cells were cultured under simulated microgravity conditions after they had been irradiated, albeit all at a relatively high dose rate. By contrast, our cells were treated simultaneously with simulated μG and pulse irradiation, and the levels of irradiation were at a lower dose rate that better simulates the condition of deep space.
Increased CA in cells exposed simultaneously to simulated microgravity and radiation compared to cells exposed to radiation alone could be explained by (1) increased cellular sensitivity to radiation under the μG condition and/or (2) decreased ability of cells to repair damaged DNA. It is known that high-LET-energy heavy-ion beams produce more double-strand breaks (DSB) in DNA per unit dose than low-LET radiation [49] and cause complex and irreparable clustered DNA damage [50]. Several studies suggest that non-DSB clustered lesions play an important role in chromosomal instability through their repair resistance [51,52,53]. Changes in chromatin conformation and chromatin–chromatin interactions in human epithelial cells under simulated microgravity and super-G environments were suggested by our previous study on the folding of chromatin during interphase [54]. Takata et al. reported that chromatin compaction protects genomic DNA from radiation damage [55]. In this study, since we adapted cells to the μG condition 24 h before irradiation, the chromatin structure might have changed such that the susceptibility of chromatin to radiation might have increased, leading to more DNA damage. Several investigators have also reported that microgravity may influence the cytoskeleton structure [56,57], and changes in the cytoskeleton, which is known to be involved in cell signaling including mechanosignaling [58,59], might affect DNA repair efficiency [60,61,62].
As for radiation-induced DSB, CA frequency depends on the efficiency of the DNA damage repair process [63]. Decreased DNA repair capacity was reported by several researchers in human lymphocytes under simulated microgravity [64,65]. In our experiments, in order to allow cells to repair damaged DNA, we kept cells under the simulated μG condition for an additional 24 h after irradiation. It is possible that the DNA repair process could have been affected by the simulated μG condition. The control (non-irradiated) samples also showed increased frequency of CA with simulated μG, possibly indicating μG-induced downregulation of the DNA repair mechanism.
Compared to the low-LET (X-ray) exposure, the C-ion beam caused more chromosome aberrations per unit dose. To understand the differences in the yield of chromosome aberrations by C-ions and X-rays, it is useful to look at the track structure of these two radiation types. For ions such as carbon, energy deposition is highly heterogeneous, with a localized contribution along the trajectory of every particle and lateral diffusion of energetic electrons (i.e., δ-rays, the target atom electrons ionized by the incident HZE ion and emitted at high energy) many microns from the path of the ions. These particles are therefore densely ionizing along the primary track (i.e., the track followed by the incident heavy ion, the so-called core). Moreover, they are surrounded by a region (penumbra) comprising the high-energy electrons ejected by ions [66]. The density of the core and penumbra depends mostly on the charge and velocity (energy per nucleon) of the ion. Since we can assume that an interaction between radiation tracks and DNA is necessary to create a break, as the energy deposited in the volume is mostly concentrated in the core regions of the tracks, DNA breaks tend to be formed in clusters and are difficult to repair properly. As clustered DNA breaks are prone to improper rejoinings, this leads to the formation of chromosome aberrations. The situation is quite different for X-rays that interact mostly by Compton and photoelectric effects, which result in considerable deflection of the photon after an interaction and the creation of a large number of electron tracks in the medium. As previously reported [67], the dose voxels were distributed randomly and scattered uniformly within the volume irradiated by low-LET radiation (X-ray), whereas the rasterized image of the track structure could be seen for the carbon particles. As energy deposited by X-rays is mostly dispersed in the irradiated volume, DNA breaks are much less clustered, which makes them easier to repair properly.

4. Materials and Methods

4.1. Cell Culture

Human fibroblasts (1BR-hTERT cells) were kindly provided by Dr. P.A. Jeggo (Sussex University, Brighton, UK) and Dr. A. Shibata (Gunma University, Gunma, Japan). Cells were cultured in CO2-independent medium (COI) (Thermo Fischer Scientific, Waltham, MA, USA) supplemented with 10% (v/v) fetal bovine serum (MP Biomedicals, Santa Ana, CA, USA), 200 mM l-glutamine (Thermo Fischer Scientific), and penicillin–streptomycin mixed solution (Nacalai Tesque, Kyoto, Japan) at 37 °C. Exponentially growing cells were cultured in disposable, sealed irradiation cell culture chambers (Chiyoda Co., Kanagawa, Japan) [30,31] for 24 h after seeding, and the culture medium was then replaced with fresh COI medium before setting into the 3D clinostat (PMS-CST I, Advanced Engineering Services Co. Ltd (AES), Ibaraki, Japan) for simulated microgravity (μG) or the static stage (AES) for 1G control as previously reported [27].

4.2. Synchronized Irradiation Systems under Simulated μG or 1G

The irradiation of cells without stopping the clinostat motion was achieved by 0.2 s of pulse irradiation when the cell growth surface of the chamber on the clinostat became perpendicular to the beam of irradiation. The controller of the 3D clinostat was also connected to a high-speed shutter system for X-ray irradiation or a respiratory gating system for C-ions irradiation to achieve this specific positioning (i.e., synchronization) of the chamber orientation and the timing of the pulse irradiation, which occurred every 60 s. Synchronized X-ray irradiation was performed using an X-ray generator (200 kV, 14.6 mA, aluminum filter (0.3 mm thick), MultiRad225: Faxitron Bioptics, LLC, Tucson, AZ, USA) equipped with a high-speed shutter (Accelerator Engineering Co. (AEC), Chiba, Japan). Synchronized C-ion irradiation was done using a synchrotron (Gunma University Heavy Ion Medical Center, Gunma, Japan) and respiratory gating signals with a dose-averaged linear energy transfer of 50 keV/μm at the center of the 6 cm spread-out Bragg peak (SOBP) of the beam with an energy of 290 MeV/n [68]. For the control, cells in the same chamber mounted on a stationary clinostat (1G) were pulse irradiated for 0.2 s every 60 s [27,29,68,69]. Doses ranged from 0.5 to 3 Gy and dose rates were 0.03 Gy/min for both X-ray and C-ion irradiation under the simulated μG or 1G conditions.

4.3. Cell Survival Colony Formation Assay

1BR-hTERT cell survival was measured using a standard colony forming assay. T25 Falcon® flasks (Corning Incorporated, New York, NY, USA) were employed, and four independent experiments were repeated for each irradiation dose. Colonies formed after 14 days of irradiation were fixed with methanol and stained with 5% Giemsa solution. Colonies composed of more than approximately 50 cells were counted as surviving cells and scored.

4.4. Premature Chromosome Condensation (PCC)

The PCC technique was used to collect G2/M-phase chromosomes as previously described [63,70,71]. After irradiation, fibroblasts were allowed to recover for 24 h under static or μG conditions and then subcultured at low density. After 33 h incubation, cells were arrested in mitosis by adding KaryoMAX® Colcemid® solution (Thermo Fisher Scientific) to a final concentration of 90 ng/mL in the culture media, and then cells were incubated for an additional 7 h. Approximately 30 min before collection, 50 nM of Calyculin A (FUJIFILM Wako Pure Chemical Co., Osaka, Japan) was added to the culture media to condense the chromosomes in the G2 phase of the cell cycle.

4.5. Fluorescence In Situ Hybridization (FISH)

Chromosome spreads were prepared as described [72] and were hybridized in situ with a combination of three fluorescence whole-chromosome human DNA probes for chromosomes 1 (red), 2 (green), and 4 (yellow) (Aquarius, Cytocell, Oxford Gene Technology, Oxfordshire, UK), using the protocol recommended by the manufacturer. All chromosomes were then stained with DAPI. Chromosomes were analyzed with the Leica Cytovision fluorescence in situ hybridization (FISH) system which includes a Leica fluorescent microscope with a charge-coupled device (CCD) camera and karyotyping software. Images of all cells with damaged chromosomes in chromosomes 1, 2, and 4 were captured electronically. Complex exchanges were scored when it was determined that an exchange involved a minimum of three breaks in two or more chromosomes [70]. An exchange was defined as simple if two breaks in two chromosomes were noted, that is, dicentrics and translocations. Incomplete translocations and incomplete dicentrics were included in the category of simple exchanges, assuming that in most cases the reciprocal fragments are below the level of detection. Each type of exchange (dicentrics, apparently simple reciprocal exchanges, incompletes, or complex) was counted as one exchange, and values for total exchanges were derived by adding the yields. When two or more painted chromosomes were damaged, each was scored separately. For each experiment consisting of a single beam at multiple doses, at least 500 cells were scored for each datapoint.

4.6. Simulations of Radiation Tracks

Simulation of the radiation track structures for both X-ray and C-ion beam was performed with the code RITRACKS (Relativistic Ion Tracks) developed at the NASA Johnson Space Center. RITRACKS simulates the primary interactions of the ions and photons with matter and calculates the energy of all secondary electrons produced in the medium. Because the secondary electrons will lead to further ionization of molecules in the medium, secondary electron tracks are also simulated. The detailed algorithms for this simulation code were described in Plante and Cucinotta [67] and in the references therein. For both irradiation beams, but more importantly for X-ray irradiation, periodic boundary conditions were applied to simulate the contribution of radiation from the neighboring volumes to the volume of interest.

4.7. Statistical Analysis

The frequencies of chromosomal aberrations in painted chromosomes were evaluated as the ratio between aberrations scored and total cells analyzed. Several studies have indicated that the distribution of radiation damage among chromosomes is random, and the yield of exchanges measured within the first division after exposure is proportional to the DNA content of the chromosome analyzed, with some fluctuation of data [73]. Therefore, the frequencies of exchanges in individual chromosomes can be extrapolated to whole-genome equivalents using a modified version of the Lucas et al. [74] formula, Fp = 2.05 [fp (1 − fp) + fp1 fp2 + fp1 fp3 + fp2 fp3] FG. FP is the combined frequency of exchanges in all painted chromosomes; fp is the fraction of the whole genome comprising the painted chromosomes; fp1, fp2, and fp3 are the fractions of the genome for each individual chromosome; and FG is the whole-genome aberration frequency. Using this formula, the genomic frequency for 1BR-hTERT fibroblasts was estimated as 2.48 times that detected in chromosomes 1, 2, and 4.
The standard errors for aberration frequencies were calculated assuming Poisson statistics. The error bars in figures represent the standard error of the mean values.

5. Conclusions

Our studies show that simultaneous exposure of human fibroblasts to simulated μG and cosmic radiation results in greater frequency of CA than in cells exposed to radiation alone. A cancer risk assessment for space radiation based on the dose–response data from cells irradiated under static conditions might underestimate the potential risk for astronauts, as our findings show significantly increased CA frequency. We suggest that our findings may have important implications, requiring not only similar investigations on different cell types but also other end points and model systems to be investigated under the combined influence of μG and irradiation.

Author Contributions

Conceptualization, A.T. and M.H.; methodology, A.T. and M.H.; investigation, H.S., H.I., J.R.R., A.J.B., M.H., A.T. and Y.Y.; formal analysis and software, I.P.; data curation, M.H.; writing—original draft preparation, M.H.; writing—review and editing, I.P., K.F. and A.T.; supervision, K.D.H. and P.B.S.

Funding

This work was supported by NASA Space Biology Program (80NSSC19K0133) (M.H., K.F. and A.T.), TAMU Chancellor’s Research Initiative, Texas A&M University (P.B.S.), a MEXT Grant-in-Aid for Scientific Research on Innovative Areas, Japan (JP15H05945, JP15H05935, and JP15K21745) (A.T.), “Living in Space”, Research Projects with Heavy Ions at the Gunma University Heavy Ion Medical Center (GHMC) (A.T.), and the Gunma University Initiative for Advanced Research (GIAR) (H.I and K.D.H.). Funding for I.P. was provided by the NASA Human Health and Performance Contract (HHPC) number NNJ15HK11B.

Acknowledgments

We thank Penny A. Jeggo (Sussex University, UK) and Atsushi Shibata (Gunma University) for supplying 1BR-hTERT cells, and Yosuke Kano (AEC) and Aya Ishizaki (GHMC) for supporting our experiments.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

3D3-Dimensional
CAChromosome aberrations
CCDCharge-coupled device
COICO2-independent medium
DSBDouble-strand breaks
FISHFluorescence in situ hybridization
GCRGalactic cosmic rays
GHMCGunma University Heavy Ion Medical Center
HZEHigh atomic number and energy
ISSInternational Space Station
LD50Lethal dose 50
LETLinear Energy Transfer
MeV/nMega electron Volt per nucleon
PCCPremature chromosome condensation
SEPSolar energetic particle
SEStandard error
SPESolar particle events
SOBPSpread-out Bragg peak
TAMUTexas A&M University
µGMicrogravity

References

  1. West, J.B. Physiology in microgravity. J. Appl. Physiol. 2000, 89, 379–384. [Google Scholar] [CrossRef]
  2. Williams, D.; Kuipers, A.; Mukai, C.; Thirsk, R. Acclimation during space flight: Effects on human physiology. CMAJ 2009, 180, 1317–1323. [Google Scholar] [CrossRef]
  3. Hargens, A.R.; Vico, L. Long-duration bed rest as an analog to microgravity. J. Appl. Physiol. 2016, 120, 891–903. [Google Scholar] [CrossRef]
  4. Maier, J.A.M.; Cialdai, F.; Monici, M.; Morbidelli, L. The impact of microgravity and hypergravity on endothelial cells. BioMed Res. Int. 2015, 434803. [Google Scholar] [CrossRef]
  5. Louis, F.; Deroanne, C.; Nusgens, B.; Vico, L.; Guignandon, A. RhoGTPases as key player in mammalian cell adaptation to microgravity. BioMed Res. Int. 2015, 747693. [Google Scholar] [CrossRef]
  6. Rudimov, E.G.; Buravkova, L.B. Gravisensitivity of endothelial cells: The role of cytoskeleton and adhesion molecules. Hum. Physiol. 2016, 42, 687–693. [Google Scholar] [CrossRef]
  7. Mains, R.; Reynolds, S.; Baker, T.; Sato, K. A Researcher’s Guide to: Cellular Biology; NASA: Washington, DC, USA, 2015.
  8. Cucinotta, F.A.; Durante, M. Cancer risk from exposure to galactic cosmic rays: Implications for space exploration by human beings. Lancet Oncol. 2006, 7, 431–435. [Google Scholar] [CrossRef]
  9. Huff, J.; Carnell, L.; Blattnig, S.; Chappell, L.; George, K.; Lumpkins, S.; Simonsen, L.; Slaba, T.; Werneth, C. Evidence Report: Risk of Radiation Carcinogenesis; Johnson Space Center: Houston, TX, USA, 2016. [Google Scholar]
  10. Cucinotta, F.A.; Kim, M.H.; Ren, L. Evaluating shielding effectiveness for reducing space radiation cancer risks. Radiat. Meas. 2006, 41, 1173–1185. [Google Scholar] [CrossRef] [Green Version]
  11. Zeitlin, C.; Hassler, D.M.; Cucinotta, F.A.; Ehresmann, B.; Wimmer-Schweingruber, R.F.; Brinza, D.E.; Kang, S.; Weigle, G.; Böttcher, S.; Böhm, E.; et al. Measurements of energetic particle radiation in transit to Mars on the Mars Science Laboratory. Science 2013, 340, 1080–1084. [Google Scholar] [CrossRef]
  12. Cucinotta, F.A. Space radiation risk for astronauts on multiple International Space Station missions. PLoS ONE 2014, 9, e96099. [Google Scholar] [CrossRef]
  13. Cucinotta, F.A. Review of NASA approach to space radiation risk assessments for Mars exploration. Health Phys. 2015, 108, 131–142. [Google Scholar] [CrossRef]
  14. Cucinotta, F.A.; Schimmerling, W.; Wilson, J.W.; Peterson, L.E.; Saganti, P.; Badhwar, G.D.; Dicello, J.F. Space radiation cancer risks and uncertainties for Mars missions. Radiat. Res. 2001, 156, 682–688. [Google Scholar] [CrossRef]
  15. Jones, J.A.; McCarten, M.; Manuel, K.; Djojonegoro, B.; Murray, J.; Feiversen, A.; Wear, M. Cataract formation mechanism and risk in aviation and space crews. Aviat. Space Environ. Med. 2007, 78, 56–66. [Google Scholar]
  16. Cucinotta, F.A.; Alp, M.; Sulzman, F.M.; Wang, M. Space radiation risk to the central nervous system. Life Sci. Space Res. 2014, 2, 54–69. [Google Scholar] [CrossRef]
  17. Moreno-Villanueva, M.; Wong, M.; Lu, T.; Zhang, Y.; Wu, H. Interplay of space radiation and microgravity in DNA damage and DNA damage response. NPJ Microgravity 2017, 3, 14. [Google Scholar] [CrossRef]
  18. Horneck, G.; Rittberg, P.; Kozubek, S.; Baumstark-Khan, C.; Rink, H.; Schäfer, M.; Schmitz, C. The influence of microgravity on repair of radiation-induced DNA damage in bacteria and human fibroblasts. Radiat. Res. 1997, 147, 376–384. [Google Scholar] [CrossRef]
  19. Pross, H.D.; Casares, A.; Kiefer, J. Induction and repair of DNA double-strand breaks under irradiation and microgravity. Radiat. Res. 2000, 153, 521–525. [Google Scholar] [CrossRef]
  20. Takahashi, A.; Ohnishi, K.; Takahashi, S.; Masukawa, M.; Sekikawa, K.; Amano, T.; Nakano, T.; Nagaoka, S.; Ohnishi, T. The effects of microgravity on ligase activity in the repair of DNA double-strand breaks. Int. J. Radiat. Biol. 2000, 76, 783–788. [Google Scholar] [CrossRef]
  21. Bücker, H.; Horneck, G.; Reitz, G. Embryogenesis and organogenesis of Curausius morosus under spaceflight conditions. Naturwissenschaften 1986, 73, 433–434. [Google Scholar] [CrossRef]
  22. Gao, Y.; Xu, D.; Zhao, L.; Zhang, M.; Sun, Y. Effects of microgravity on DNA damage response in Caenorhabditis elegans during Shenzhou-8 spaceflight. Int. J. Radiat. Biol. 2015, 91, 531–539. [Google Scholar] [CrossRef]
  23. Kobayashi, Y.; Kikuchi, M.; Nagaoka, S.; Watanabe, H. Recovery of Deinococcus radiodurans from radiation damage was enhanced under microgravity. Biol. Sci. Space 1996, 10, 97–101. [Google Scholar] [CrossRef]
  24. Wuest, S.L.; Richard, S.; Kopp, S.; Grimm, D.; Egli, M. Simulated microgravity: Critical review on the use of random positioning machines for mammalian cell culture. BioMed Res. Int. 2015, 971474. [Google Scholar] [CrossRef]
  25. Indo, H.P.; Tomiyoshi, T.; Suenaga, S.; Tomita, K.; Suzuki, H.; Masuda, D.; Terada, M.; Ishioka, N.; Gusev, O.; Cornette, R.; et al. MnSOD downregulation induced by extremely low 0.1 mGy single and fractionated X-rays and microgravity treatment in human neuroblastoma cell line, NB-1. J. Clin. Biochem. Nutr. 2015, 57, 98–104. [Google Scholar] [CrossRef] [Green Version]
  26. Wang, T.; Sun, Q.; Xu, W.; Li, F.; Li, H.; Lu, J.; Wu, L.; Wu, Y.; Liu, M.; Bian, P. Modulation of modeled microgravity on radiation-induced bystander effects in Arabidopsis thaliana. Mutat. Res. 2015, 773, 27–36. [Google Scholar] [CrossRef]
  27. Ikeda, H.; Souda, H.; Puspitasari, A.; Held, K.D.; Hidema, J.; Nikawa, T.; Yoshida, Y.; Kanai, T.; Takahashi, A. Development and performance evaluation of a three-dimensional clinostat synchronized heavy-ion irradiation system. Life Sci. Space Res. 2017, 12, 51–60. [Google Scholar] [CrossRef]
  28. Tashiro, M.; Ishii, T.; Koya, J.; Okada, R.; Kurosawa, Y.; Arai, K.; Abe, S.; Ohashi, Y.; Shimada, H.; Yusa, K.; et al. Technical approach to individualized respiratory-gated carbon-ion therapy for mobile organs. Radiol. Phys. Technol. 2013, 6, 356–366. [Google Scholar] [CrossRef] [Green Version]
  29. Ikeda, H.; Souda, H.; Puspitasari, A.; Held, K.D.; Hidema, J.; Nikawa, T.; Yoshida, Y.; Kanai, T.; Takahashi, A. A new system for three-dimensional clinostat synchronized X-irradiation with high-speed shutter for space radiation research. Biol. Sci. Space 2016, 30, 8–16. [Google Scholar] [CrossRef]
  30. Harada-Sukeno, A.; Kohno, S.; Nakano, R.; Hirasaka, K.; Higashibata, A.; Yamazaki, T.; Ishioka, N.; Suzuki, H.; Shimazu, T.; Maita, A.; et al. Myo Lab: A JAXA cell biology experiment in “Kibo (JEM)” of the International Space Station. Biol. Sci. Space 2009, 23, 189–193. [Google Scholar] [CrossRef]
  31. Tanigawa, N.; Yano, S.; Higashibata, A.; Tsuchiya, Y.; Tanii, H.; Ando, N.; Kubota, K.; Nagase, M. Development and validation of a closed chamber for cell culture experiments in space. Biol. Sci. Space 2014, 28, 1–5. [Google Scholar] [CrossRef]
  32. George, K.; Durante, M.; Wu, H.; Willingham, V.; Badhwar, G.; Cucinotta, F.A. Chromosome aberrations in the blood lymphocytes of astronauts after space flight. Radiat. Res. 2001, 156, 731–738. [Google Scholar] [CrossRef]
  33. George, K.; Willingham, V.; Cucinotta, F.A. Stability of chromosome aberrations in the blood lymphocytes of astronauts measured after space flight by FISH chromosome painting. Radiat. Res. 2005, 164, 474–480. [Google Scholar] [CrossRef]
  34. George, K.; Rhone, J.; Beitman, A.; Cucinotta, F.A. Cytogenetic damage in the blood lymphocytes of astronauts: Effect of repeat long-duration space missions. Mutat. Res. 2013, 756, 165–169. [Google Scholar] [CrossRef]
  35. Alpen, E.L.; Powers-Risius, P.; Curtis, S.B.; DeGuzman, R. Tumorigenic potential of high-Z, high-LET charged particle radiations. Radiat. Res. 1993, 88, 132–143. [Google Scholar] [CrossRef]
  36. Bonassi, S.; Norppa, H.; Ceppi, M.; Strömberg, U.; Vermeulen, R.; Znaor, A.; Cebulska-Wasilewska, A.; Fabianova, E.; Fucic, A.; Gundy, S.; et al. Chromosomal aberration frequency in lymphocytes predicts the risk of cancer: Results from a pooled cohort study of 22358 subjects in 11 countries. Carcinogenesis 2008, 29, 1178–1183. [Google Scholar] [CrossRef]
  37. Weil, M.M.; Bedford, J.S.; Bielefeldt-Ohmann, H.; Ray, A.F.; Gernik, P.C.; Ehrhart, E.J.; Fallgren, C.M.; Hailu, F.; Battaglia, C.L.; Charles, B.; et al. Incidence of acute myeloid leukemia and hepatocellular carcinoma in mice irradiated with 1 GeV/nucleon 56Fe ions. Radiat. Res. 2009, 172, 213–219. [Google Scholar] [CrossRef]
  38. Cucinotta, F.A.; Chappell, L.J. Non-targeted effects and the dose response for heavy ion tumor formation. Mutat. Res. 2010, 687, 49–53. [Google Scholar] [CrossRef]
  39. George, K.; Wu, H.; Willingham, V.; Furusawa, Y.; Kawata, T.; Cucinotta, F.A. High- and low-LET induced chromosome damage in human lymphocytes; a time course of aberrations in metaphase and interphase. Int. J. Radiat. Biol. 2001, 77, 175–183. [Google Scholar] [CrossRef]
  40. George, K.; Cucinotta, F.A. The influence of shielding on the biological effectiveness of accelerated particles for the induction of chromosome damage. Adv. Space Res. 2007, 39, 1076–1081. [Google Scholar] [CrossRef]
  41. Loucas, B.D.; Durante, M.; Bailey, S.M.; Cornforth, M.N. Chromosome damage in human cells by c rays, a particles and heavy ions: Track interactions in basic dose-response relationships. Radiat. Res. 2013, 179, 9–20. [Google Scholar] [CrossRef]
  42. George, K.; Willingham, V.; Wu, H.; Gridley, D.; Nelson, G.; Cucinotta, F.A. Chromosome aberrations in human lymphocytes induced by 250 MeV protons: Effects of dose, dose rate and shielding. Adv. Space Res. 2002, 30, 891–899. [Google Scholar] [CrossRef]
  43. George, K.; Durante, M.; Willingham, V.; Wu, H.; Yang, T.C.; Cucinotta, F.A. Biological effectiveness of accelerated particles for the induction of chromosome damage measured in metaphase and interphase in human lymphocytes. Radiat. Res. 2003, 160, 425–435. [Google Scholar] [CrossRef]
  44. Durante, M.; Cucinotta, F.A. Heavy ion carcinogenesis and human space exploration. Nat. Rev. Cancer 2008, 8, 465–472. [Google Scholar] [CrossRef] [Green Version]
  45. Manti, L.; Durante, M.; Cirrone, G.A.P.; Grossi, G.; Lattuada, M.; Pugliese, M.; Sabini, M.G.; Scampoli, P.; Valastro, L.; Gialanella, G. Modeled microgravity does not modify the yield of chromosome aberrations induced by high-energy protons in human lymphocytes. Int. J. Radiat. Biol. 2005, 81, 147–155. [Google Scholar] [CrossRef]
  46. Mosesso, P.; Schuber, M.; Seibt, D.; Schmitz, C.; Fiore, M.; Schinoppi, A.; Penna, S.; Palitti, F. X-ray-induced chromosome aberrations in human lymphocytes in vitro are potentiated under simulated microgravity conditions (Clinostat). Phys. Med. 2001, 17, 264–266. [Google Scholar]
  47. Canova, S.; Fiorasi, F.; Mognato, M.; Glifalconi, M.; Reddi, E.; Russo, A.; Celotti, L. “Modeled microgravity” affects cell response to ionizing radiation and increases genomic damage. Radiat. Res. 2005, 163, 191–199. [Google Scholar] [CrossRef]
  48. Mognato, M.; Celotti, L. Modeled microgravity affects cell survival and HPRT mutant frequency, but not the expression of DNA repair genes in human lymphocytes irradiated with ionizing radiation. Mutat. Res. 2005, 578, 417–429. [Google Scholar] [CrossRef]
  49. Lobrich, M.; Cooper, P.K.; Rydberg, B. Non-random distribution of DNA double-strand breaks induced by particle irradiation. Int. J. Radiat. Biol. 1996, 70, 493–503. [Google Scholar] [CrossRef]
  50. Hada, M.; Georgakilas, A.G. Formation of clustered DNA damage after high-LET irradiations: A review. J. Radiat. Res. 2008, 49, 203–210. [Google Scholar] [CrossRef]
  51. Singleton, B.K.; Griffin, C.S.; Thacker, J. Clustered DNA damage leads to complex genetic changes in irradiated human cells. Cancer Res. 2002, 62, 6263–6269. [Google Scholar]
  52. Tsao, D.; Kalogerinis, P.; Tabrizi, I.; Dingfelder, M.; Stewart, R.D.; Georgakilas, A.G. Induction and processing of oxidative clustered DNA lesions in 56Fe-ion-irradiated human monocytes. Radiat. Res. 2007, 168, 87–97. [Google Scholar] [CrossRef]
  53. Hair, J.M.; Terzoudi, G.I.; Hatzi, V.I.; Lehockey, K.A.; Srivastava, D.; Wang, W.; Pantelias, G.E.; Georgakilas, A.G. BRCA1 role in the mitigation of radiotoxicity and chromosomal instability through repair of clustered DNA lesions. Chem. Biol. Interact. 2010, 188, 350–358. [Google Scholar] [CrossRef] [PubMed]
  54. Zhang, Y.; Hada, M.; Wu, H. Interphase chromosome conformation and chromatin-chromatin interactions in human epithelial cells cultured under different gravity conditions. In Proceedings of the 30th Annual Meeting of the American Society for Gravitational and Space Research, Pasadena, CA, USA, 23–26 October 2014. [Google Scholar]
  55. Takata, H.; Hanafusa, T.; Mori, T.; Shimura, M.; Iida, Y.; Ishikawa, K.; Yoshikawa, K.; Yoshikawa, Y.; Maeshima, K. Chromatin compaction protects genomic DNA from radiation damage. PLoS ONE 2013, 8, e75622. [Google Scholar] [CrossRef] [PubMed]
  56. Cogoli, A.; Iversen, T.H.; Johnsson, D.; Mesland, D.; Oser, H. Cell biology. In Life Sciences Research in Space (ESTEC, ESA SP-1105); Oser, H., Battrick, B., Eds.; ESA Publication Division: Noordwijk, The Netherlands, 1989; pp. 49–64. [Google Scholar]
  57. Moore, D.; Cogoli, A. Gravitational and space biology at the cellular level. In Biological and Medical Research in Space; Moore, D., Bie, P., Oser, H., Eds.; Springer: Berlin/Heidelberg, Germany, 1996; pp. 1–106. [Google Scholar]
  58. Forgacs, G.; Yook, S.H.; Janmey, P.A.; Jeong, H.; Christopher, G.; Burd, C.G. Role of the cytoskeleton in signaling networks. J. Cell Sci. 2004, 117, 2769–2775. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Ohashi, K.; Fujiwara, S.; Mizuno, K. Roles of the cytoskeleton, cell adhesion and rho signalling in mechanosensing and mechanotransduction. J. Biochem. 2017, 161, 245–254. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Yamazaki, Y.; Tsuruga, M.; Zhou, D.; Fujita, Y.; Shang, X.; Dang, Y.; Kawasaki, K.; Oka, S. Cytoskeletal disruption accelerates Caspase-3 activation and alters the intracellular membrane reorganization in DNA damage-induced apoptosis. Exp. Cell Res. 2000, 259, 64–78. [Google Scholar] [CrossRef] [PubMed]
  61. Yaffe, M.; Hwang, M.-K.; Gordonov, S.; Ivaska, J.; Lauffenburger, D.; Gertler, F. Phosphoproteomic analysis of DNA damage checkpoint kinase signaling reveals unexpected links to actin cytoskeletal remodeling, cell migration, and chemoresistance. FASAB J. 2017, 31, 114. [Google Scholar]
  62. Herraiz, C.; Calvo, F.; Pandya, P.; Cantelli, G.; Rodriguez-Hernandez, I.; Orgaz, J.L.; Kang, N.; Chu, T.; Sahai, E.; Sanz-Moreno, V. Reactivation of p53 by a cytoskeletal sensor to control the balance between DNA damage and tumor dissemination. J. Nat. Cancer Inst. 2016, 108, djv289. [Google Scholar] [CrossRef]
  63. Hada, M.; Huff, J.L.; Patel, Z.S.; Kawata, T.; Pluth, J.M.; George, K.A.; Cucinotta, F.A. AT cells are not radiosensitive for chromosomal exchanges at low dose. Mutat. Res. 2011, 716, 76–83. [Google Scholar] [CrossRef]
  64. Kumari, R.; Singh, K.P.; Dumond, J.W., Jr. Simulated microgravity decreases DNA repair capacity and induces DNA damage in human lymphocytes. J. Cell Biochem. 2009, 107, 723–731. [Google Scholar] [CrossRef]
  65. Mognato, M.; Girardi, C.; Fabris, S.; Celotti, L. DNA repair in modeled microgravity: Double strand break rejoining activity in human lymphocytes irradiated with gamma-rays. Mutat. Res. 2009, 663, 32–39. [Google Scholar] [CrossRef]
  66. Butts, J.J.; Katz, R. Theory of RBE for heavy ion bombardment. Radiat. Res. 1967, 30, 855–871. [Google Scholar] [CrossRef] [PubMed]
  67. Plante, I.; Cucinotta, F.A. Monte-Carlo simulation of ionizing radiation tracks. In Application of Monte Carlo Methods in Biology, Medicine and Other Fields of Science; Mode, C.J., Ed.; InTech: Rijeka, Croatia, 2011. [Google Scholar]
  68. Ohno, T.; Kanai, T.; Yamada, S.; Yusa, K.; Tashiro, M.; Shimada, H.; Torikai, K.; Yoshida, Y.; Kitada, Y.; Katoh, H.; et al. Carbon ion radio-therapy at the Gunma University Heavy Ion Medical Center: New facility set-up. Cancers 2011, 3, 4046–4060. [Google Scholar] [CrossRef] [PubMed]
  69. Takahashi, A.; Ikeda, H.; Souda, H.; Puspitasari, A.; Held, K.D.; Hidema, J.; Nikawa, T.; Yoshida, Y.; Kanai, T. Performance evaluation of new devices to synchronize heavy-ion or X-ray irradiation and simulated microgravity for space radiation research—Improvement of a control stage. In Proceedings of the 2017 International Symposium on Space Technology and Science, Matsuyama, Japan, 3–9 June 2017. [Google Scholar]
  70. George, K.A.; Hada, M.; Elliott, T.; Kawata, T.; Pluth, J.M.; Cucinotta, F.A. Dose response of γ-rays and iron nuclei induction of chromosomal aberrations in normal and repair deficient cell lines. Radiat. Res. 2009, 171, 752–763. [Google Scholar] [CrossRef]
  71. Hada, M.; Chappell, L.J.; Wang, M.; George, K.A.; Cucinotta, F.A. Induction of chromosomal aberrations at fluences of less than one HZE particle per cell nucleus. Radiat. Res. 2014, 182, 368–379. [Google Scholar] [CrossRef]
  72. Hada, M.; Meador, J.A.; Cucinotta, F.A.; Gonda, S.R.; Wu, H. Chromosome aberrations induced by dual exposure of protons and iron ions. Radiat. Environ. Biophys. 2007, 46, 125–129. [Google Scholar] [CrossRef] [PubMed]
  73. Luomahaara, S.; Lindholm, C.; Mustonen, R.; Salomaa, S. Distribution of radiation-induced exchange aberrations in human chromosomes 1, 2 and 4. Int. J. Radiat. Biol. 1999, 75, 1551–1556. [Google Scholar] [CrossRef] [PubMed]
  74. Lucas, J.N.; Poggensee, M.; Straume, T. The persistence of chromosome translocations in a radiation worker accidentally exposed to tritium. Cytogenet. Cell Genet. 1992, 60, 255–256. [Google Scholar] [CrossRef]
Figure 1. Survival curves of human fibroblasts irradiated by a single dose (open symbols) or the same cumulative dose given by 0.2 s pulses (closed symbols) of X-ray and 290 MeV/n C-ion beam under static conditions. Experimental data represent the mean of two plates from four experiments.
Figure 1. Survival curves of human fibroblasts irradiated by a single dose (open symbols) or the same cumulative dose given by 0.2 s pulses (closed symbols) of X-ray and 290 MeV/n C-ion beam under static conditions. Experimental data represent the mean of two plates from four experiments.
Ijms 20 00043 g001
Figure 2. Examples of chromosome painting in human fibroblasts (1BR-hTERT) with 3-color whole-chromosome FISH: chromosome 1 (red), chromosome 2 (green), and chromosome 4 (yellow). Chromosome aberrations were identified by arrows as simple (reciprocal exchanges between two chromosomes) or complex-type exchanges (exchanges involving a minimum of three breaks in two or more chromosomes). A: normal; B: simple exchange between chromosome 1 and 2; C: simple exchange between chromosome 1 and other chromosome (dicentric); D: break in chromosome 4 complex; E: complex exchange in chromosomes 1 and 2 and another chromosome; F: complex exchange in chromosomes 2 and 4 and another chromosome). The scale bars represent 10 μm.
Figure 2. Examples of chromosome painting in human fibroblasts (1BR-hTERT) with 3-color whole-chromosome FISH: chromosome 1 (red), chromosome 2 (green), and chromosome 4 (yellow). Chromosome aberrations were identified by arrows as simple (reciprocal exchanges between two chromosomes) or complex-type exchanges (exchanges involving a minimum of three breaks in two or more chromosomes). A: normal; B: simple exchange between chromosome 1 and 2; C: simple exchange between chromosome 1 and other chromosome (dicentric); D: break in chromosome 4 complex; E: complex exchange in chromosomes 1 and 2 and another chromosome; F: complex exchange in chromosomes 2 and 4 and another chromosome). The scale bars represent 10 μm.
Ijms 20 00043 g002
Figure 3. Graphic representation of the data shown in Table 1. Frequencies of simple and complex types of chromosome exchanges induced by X-ray or C-ion beam while cells were under either static or simulated μG conditions. Error bars indicate the standard error of the mean values.
Figure 3. Graphic representation of the data shown in Table 1. Frequencies of simple and complex types of chromosome exchanges induced by X-ray or C-ion beam while cells were under either static or simulated μG conditions. Error bars indicate the standard error of the mean values.
Ijms 20 00043 g003
Figure 4. Simulation of the radiation track structures in a volume of 10 × 10 × 5 µm3 irradiated by 50 cGy of X-ray (left) and 50 cGy of carbon ion, 290 MeV/n (right). Each dot represents a radiolytic species (see legend for color code).
Figure 4. Simulation of the radiation track structures in a volume of 10 × 10 × 5 µm3 irradiated by 50 cGy of X-ray (left) and 50 cGy of carbon ion, 290 MeV/n (right). Each dot represents a radiolytic species (see legend for color code).
Ijms 20 00043 g004
Table 1. Whole-genome equivalent for frequency of chromosome aberrations per 100 cells in human fibroblasts by X-ray and C-ion beam under static and simulated μG conditions.
Table 1. Whole-genome equivalent for frequency of chromosome aberrations per 100 cells in human fibroblasts by X-ray and C-ion beam under static and simulated μG conditions.
RadiationStatic or μGTotal Spreads ScoredNo. of Aberrant SpreadsSimple ExchangesComplex ExchangesTotal Exchanges
Control (0 Gy)Static2025130.73 ± 0.3000.73 ± 0.30
μG1994191.24 ± 0.390.12 ± 0.121.37 ± 0.41
X-ray (0.5 Gy)Static1024233.15 ± 0.870.24 ± 0.243.39 ± 0.91
μG1376124.86 ± 0.940.72 ± 0.365.58 ± 1.00
X-ray (1.5 Gy)Static1025294.58 ± 1.050.48 ± 0.345.06 ± 1.10
μG1038387.16 ± 1.311.43 ± 0.588.59 ± 1.43
C-ions (0.5 Gy)Static6435015.03 ± 2.410.39 ± 0.3915.42 ± 2.44
μG5664817.07 ± 2.731.75 ± 0.8818.83 ± 2.87

Share and Cite

MDPI and ACS Style

Hada, M.; Ikeda, H.; Rhone, J.R.; Beitman, A.J.; Plante, I.; Souda, H.; Yoshida, Y.; Held, K.D.; Fujiwara, K.; Saganti, P.B.; et al. Increased Chromosome Aberrations in Cells Exposed Simultaneously to Simulated Microgravity and Radiation. Int. J. Mol. Sci. 2019, 20, 43. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms20010043

AMA Style

Hada M, Ikeda H, Rhone JR, Beitman AJ, Plante I, Souda H, Yoshida Y, Held KD, Fujiwara K, Saganti PB, et al. Increased Chromosome Aberrations in Cells Exposed Simultaneously to Simulated Microgravity and Radiation. International Journal of Molecular Sciences. 2019; 20(1):43. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms20010043

Chicago/Turabian Style

Hada, Megumi, Hiroko Ikeda, Jordan R. Rhone, Andrew J. Beitman, Ianik Plante, Hikaru Souda, Yukari Yoshida, Kathryn D. Held, Keigi Fujiwara, Premkumar B. Saganti, and et al. 2019. "Increased Chromosome Aberrations in Cells Exposed Simultaneously to Simulated Microgravity and Radiation" International Journal of Molecular Sciences 20, no. 1: 43. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms20010043

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop