Comparative RNA-Seq transcriptome analyses reveal dynamic time dependent effects of 56Fe, 16O, and 28Si irradiation on the induction of murine hepatocellular carcinoma
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ABSTRACT:
PROVIDER: PRJNA609814 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11216505_1.fastq.gz | Fastqsanger.gz | |||
| SRR11216505_2.fastq.gz | Fastqsanger.gz | |||
| SRR11216506_1.fastq.gz | Fastqsanger.gz | |||
| SRR11216506_2.fastq.gz | Fastqsanger.gz | |||
| SRR11216507_1.fastq.gz | Fastqsanger.gz |
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Project description:One of the health risks posed to astronauts during deep space flights is exposure to high charge, high-energy (HZE) ions (Z>13) which can lead to induction of hepatocellular carcinoma (HCC). We performed comparative RNA-Seq transcriptomic analysis to assess the carcinogenic effects of 600 MeV/n 56Fe (0.2 Gy), 1 GeV/n 16O (0.2 Gy), and 350 MeV/n 28Si (0.2 Gy) ions in a mouse model for radiation-induced hepatocellular carcinoma. C3H/HeNCrl mice were subjected to total body irradiation to simulate space HZE-irradiation environment and liver tissues were extracted at five different time points post-irradiation to investigate the time-dependent gradual carcinogenic response at the transcriptomic level. Our data demonstrated a clear difference in the effects of these HZE ions, particularly immunological, on the carcinogenic process of HCC, suggesting different molecular mechanisms of tumorigenesis. Also seen in this study was novel unmapped transcripts that were significantly affected by HZE. To investigate the biological functions of these transcripts, we used a machine learning technique known as self-organizing maps (SOMs) to characterize the transcriptome expression profiles of 60 samples (45 HZE-irradiated, 15 non-irradiated control) from liver tissues. A handful of localized modules in the maps emerged as groups of co-regulated and co-expressed transcripts. The functional context of these modules was discovered using overrepresentation analysis. We found that these spots typically contained enriched populations of transcripts related to specific immunological molecular processes. Taken together, these findings not only led to a better understanding of biological mechanisms underlying risks for HCC after HZE irradiation but also have important implications for discovery of potential countermeasures and identification of biomarkers of HZE-induced HCC.
2020-06-17 | GSE146254 | GEO
Project description:BACKGROUND:One of the health risks posed to astronauts during deep space flights is exposure to high charge, high-energy (HZE) ions (Z?>?13), which can lead to the induction of hepatocellular carcinoma (HCC). However, little is known on the molecular mechanisms of HZE irradiation-induced HCC. RESULTS:We performed comparative RNA-Seq transcriptomic analyses to assess the carcinogenic effects of 600?MeV/n 56Fe (0.2?Gy), 1?GeV/n 16O (0.2?Gy), and 350?MeV/n 28Si (0.2?Gy) ions in a mouse model for irradiation-induced HCC. C3H/HeNCrl mice were subjected to total body irradiation to simulate space environment HZE-irradiation, and liver tissues were extracted at five different time points post-irradiation to investigate the time-dependent carcinogenic response at the transcriptomic level. Our data demonstrated a clear difference in the biological effects of these HZE ions, particularly immunological, such as Acute Phase Response Signaling, B Cell Receptor Signaling, IL-8 Signaling, and ROS Production in Macrophages. Also seen in this study were novel unannotated transcripts that were significantly affected by HZE. To investigate the biological functions of these novel transcripts, we used a machine learning technique known as self-organizing maps (SOMs) to characterize the transcriptome expression profiles of 60 samples (45 HZE-irradiated, 15 non-irradiated control) from liver tissues. A handful of localized modules in the maps emerged as groups of co-regulated and co-expressed transcripts. The functional context of these modules was discovered using overrepresentation analysis. We found that these spots typically contained enriched populations of transcripts related to specific immunological molecular processes (e.g., Acute Phase Response Signaling, B Cell Receptor Signaling, IL-3 Signaling), and RNA Transcription/Expression. CONCLUSIONS:A large number of transcripts were found differentially expressed post-HZE irradiation. These results provide valuable information for uncovering the differences in molecular mechanisms underlying HZE specific induced HCC carcinogenesis. Additionally, a handful of novel differentially expressed unannotated transcripts were discovered for each HZE ion. Taken together, these findings may provide a better understanding of biological mechanisms underlying risks for HCC after HZE irradiation and may also have important implications for the discovery of potential countermeasures against and identification of biomarkers for HZE-induced HCC.
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Project description:Centromeres are functionally conserved chromosomal loci essential for proper chromosome segregation during cell division, yet they show high sequence diversity across species. Despite their variation, a near universal feature of centromeres is the presence of repetitive sequences, such as DNA satellites and transposable elements (TEs). Because of their rapidly evolving karyotypes, gibbons represent a compelling model to investigate divergence of functional centromere sequences across short evolutionary timescales. In this study, we use ChIP-seq, RNA-seq, and fluorescence in situ hybridization to comprehensively investigate the centromeric repeat content of the four extant gibbon genera (Hoolock, Hylobates, Nomascus, and Siamang). In all gibbon genera, we find that CENP-A nucleosomes and the DNA-proteins that interface with the inner kinetochore preferentially bind retroelements of broad classes rather than satellite DNA. A previously identified gibbon-specific composite retrotransposon, LAVA, known to be expanded within the centromere regions of one gibbon genus (Hoolock), displays centromere- and species-specific sequence differences, potentially as a result of its co-option to a centromeric function. When dissecting centromere satellite composition, we discovered the presence of the retroelement-derived macrosatellite SST1 in multiple centromeres of Hoolock, whereas alpha-satellites represent the predominate satellite in the other genera, further suggesting an independent evolutionary trajectory for Hoolock centromeres. Finally, using de novo assembly of centromere sequences, we determined that transcripts originating from gibbon centromeres recapitulate the species-specific TE composition. Combined, our data reveal dynamic shifts in the repeat content that define gibbon centromeres and coincide with the extensive karyotypic diversity within this lineage.
| S-EPMC8382927 | biostudies-literature
Project description:We conducted transcript profiling and metabolome profiling induced by UV irradiation in grape berry skin. Transcriptome analysis was carried out with genome-wide microarray and two hundred thirty eight genes were more than 5-fold up-regulated by UV irradiation. The enrichment analysis showed GO terms including stilbene synthase (STS) gene. Moreover, the principal component analysis (PCA) of metabolome analysis showed a compound, identified resveratrol, accumulated in grape berry skin specifically. Our result clearly shows that UV irradiation induced only accumulation of resveratrol and its analogues but did not induce accumulation of the other phenolic compounds.
2014-12-01 | GSE59436 | GEO
Project description:Linear energy transfer (LET) is an important factor affecting several aspects of the irradiation effect, e.g. cell survival and mutation frequency, making the heavy-ion beam an effective mutagen. To study the mechanisms behind LET-dependent effects, expression profiling was performed after heavy-ion beam irradiation of imbibed rice seeds. Array-based experiments at three time points (0.5, 1, 2 h after the irradiation) revealed that the number of up- or down-regulated genes was highest 2 h after irradiation. Array-based experiments with four different LETs at 2 h after irradiation identified LET-independent regulated genes that were up/down-regulated regardless of the value of LET; LET-dependently regulated genes, whose expression level increased with the rise of LET value, were also identified.
2016-07-01 | GSE78997 | GEO
Project description:BackgroundSeasonal flowering time is an ecologically and economically important trait in temperate trees. Previous studies have shown that temperature in many tree species plays a pivotal role in regulating flowering time. However, genetic control of flowering time is not synchronised in different individual trees under comparable temperature conditions, the underlying molecular mechanism is mainly to be investigated.ResultsIn the present study, we analysed the transcript abundance in male cones and needles from six early pollen-shedding trees (EPs) and six neighbouring late pollen-shedding trees (LPs) in Pinus tabuliformis at three consecutive time points in early spring. We found that the EPs and LPs had distinct preferred transcriptional modules in their male cones and, interestingly, the expression pattern was also consistently maintained in needles even during the winter dormancy period. Additionally, the preferred pattern in EPs was also adopted by other fast-growing tissues, such as elongating new shoots. Enhancement of nucleic acid synthesis and stress resistance pathways under cold conditions can facilitate rapid growth and maintain higher transcriptional activity.ConclusionsDuring the cold winter and early spring seasons, the EPs were more sensitive to relatively warmer temperatures and showed higher transcriptomic activity than the LPs, indicating that EPs required less heat accumulation for pollen shedding than LPs. These results provided a transcriptomic-wide understanding of the temporal regulation of pollen shedding in pines.
| S-EPMC7374968 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2021-05-24 | GSE161217 | GEO
Project description:Purpose: We aim to identify irradiation-induced transciptional changes in HPV-positive and HPV-negative HNSCC cell lines in vitro. Methods: Cells were seeded to tissue culture flasks and irradiated after adherence, with 0 Gy or 4 Gy carbon ions or 4 Gy photons or 8 Gy photons. Analysis was performed 4h and 48h and 72h after irradiation Results: Analysis of the data reveals a clear difference between irradiated and unirradiated samples, as well as between HPV-positive and HPV-negative HNSCC cells Conclusion: Transcriptomic changes are dependent on HPV Status and irradiation, but independent from the type of irradiation.
2022-05-11 | GSE198100 | GEO
Project description:The responses of the transcriptome of Synechocystis PCC 6803 to UV-irradiation were measured at time points over 36 h. Irradiation was provided by Sylvania soft white DuluzR compact fluorescent 23W bulbs (Osram Sylvania Ltd, Mississauga, Canada), a 20W RS UV-B medical light with a spectral maximum at 310 nm (model ‘TL’, Philips, Holland), and 15W black lights each with a spectral maximum at 368 nm (model F15T8-BL, General Electric, USA). Total quantum scalar irradiance was measured with a model QSL-100 meter (Biospherical Instruments Inc., San Diego, CA). The flux densities of the UV-A and UV-B components of the spectrum were measured with DIX series UV-B and 365A sensors, respectively, with a Spectroline DRC-100X digital radiometer (Spectronics Corporation, Westbury, NY). In these experiments full illumination represented a continuous photon flux density in the visible range of 330 μmol photons m-2 s-1, with UV-A and UV-B maxima of 3.8 x 10^6 and 0.8 x 10^6 mW m-2, respectively. All values reported were the incident fluxes within culture vessels at the immediate surface of the cell suspensions. Aliquot cultures (in duplicate) were harvested after 0, 15 min, 1 h, 3 h, 6 h, 12 h, 24 h and 36 h of UV-irradiation. For each time point, total RNA were isolated from stressed and unstressed cells, reverse-transcribed, differentially labelled (dye swapped), hybridized together (stressed versus unstressed samples) and analyzed with DNA glass microarrays (two slides per each time point) (Custom-commercial array : CyanoCHIP version 2.0, TAKARA). To identify differentially expressed genes, the median of the normalized ratio of Cy5/Cy3 intensity was calculated for each spot of the replicated dye-swap. The results of the analysis were carefully examined to exclude the dye effect between the 2 Cy-swapped arrays. Keywords: UV-irradiation, desiccation, Synechocystis PCC 6803, cyanobacteria, time course, transcription
2006-09-04 | GSE4606 | GEO