scholarly journals Effects of High-Dose Ionizing Radiation in Human Gene Expression: A Meta-Analysis

2020 ◽  
Vol 21 (6) ◽  
pp. 1938 ◽  
Author(s):  
Dimitrios S. Kanakoglou ◽  
Theodora-Dafni Michalettou ◽  
Christina Vasileiou ◽  
Evangelos Gioukakis ◽  
Dorothea Maneta ◽  
...  

The use of high-dose Ionizing Radiation (IR) is currently one of the most common modalities in treatment of many types of cancer. The objective of this work was to investigate the effects of high-dose ionizing radiation on healthy human tissue, utilizing quantitative analysis of gene expression. To this end, publicly available transcriptomics datasets from human samples irradiated with a high dose of radiation and non-irradiated (control) ones were selected, and gene expression was determined using RNA-Seq data analysis. Raw data from these studies were subjected to quality control and trimming. Mapping of RNA-Seq reads was performed by the partial selective alignment method, and differential gene expression analysis was conducted. Subsequently, a meta-analysis was performed to select differentially expressed genes across datasets. Based on the differentially expressed genes discovered by meta-analysis, we constructed a protein-to-protein interaction network, and we identified biological pathways and processes related to high-dose IR effects. Our findings suggest that cell cycle arrest is activated, supported by our top down-regulated genes associated with cell cycle activation. DNA repair genes are down-regulated in their majority. However, several genes implicated in the nucleotide excision repair pathway are upregulated. Nevertheless, apoptotic mechanisms seem to be activated probably due to severe high-dose-induced complex DNA damage. The significant upregulation of CDKN1A, as a downstream gene of TP53, further validates programmed cell death. Finally, down-regulation of TIMELESS, signifies a correlation between IR response and circadian rhythm. Nonetheless, high-dose IR exposure effects regarding normal tissue (radiation toxicity) and its possible long-term outcomes should be studied to a greater extend.

Viruses ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 244 ◽  
Author(s):  
Antonio Victor Campos Coelho ◽  
Rossella Gratton ◽  
João Paulo Britto de Melo ◽  
José Leandro Andrade-Santos ◽  
Rafael Lima Guimarães ◽  
...  

HIV-1 infection elicits a complex dynamic of the expression various host genes. High throughput sequencing added an expressive amount of information regarding HIV-1 infections and pathogenesis. RNA sequencing (RNA-Seq) is currently the tool of choice to investigate gene expression in a several range of experimental setting. This study aims at performing a meta-analysis of RNA-Seq expression profiles in samples of HIV-1 infected CD4+ T cells compared to uninfected cells to assess consistently differentially expressed genes in the context of HIV-1 infection. We selected two studies (22 samples: 15 experimentally infected and 7 mock-infected). We found 208 differentially expressed genes in infected cells when compared to uninfected/mock-infected cells. This result had moderate overlap when compared to previous studies of HIV-1 infection transcriptomics, but we identified 64 genes already known to interact with HIV-1 according to the HIV-1 Human Interaction Database. A gene ontology (GO) analysis revealed enrichment of several pathways involved in immune response, cell adhesion, cell migration, inflammation, apoptosis, Wnt, Notch and ERK/MAPK signaling.


2020 ◽  
Vol 26 (1) ◽  
Author(s):  
Lara Kim Brackmann ◽  
Alicia Poplawski ◽  
Caine Lucas Grandt ◽  
Heike Schwarz ◽  
Thomas Hankeln ◽  
...  

Abstract Background Exposure to ionizing radiation induces complex stress responses in cells, which can lead to adverse health effects such as cancer. Although a variety of studies investigated gene expression and affected pathways in human fibroblasts after exposure to ionizing radiation, the understanding of underlying mechanisms and biological effects is still incomplete due to different experimental settings and small sample sizes. Therefore, this study aims to identify the time point with the highest number of differentially expressed genes and corresponding pathways in primary human fibroblasts after irradiation at two preselected time points. Methods Fibroblasts from skin biopsies of 15 cell donors were exposed to a high (2Gy) and a low (0.05Gy) dose of X-rays. RNA was extracted and sequenced 2 h and 4 h after exposure. Differentially expressed genes with an adjusted p-value < 0.05 were flagged and used for pathway analyses including prediction of upstream and downstream effects. Principal component analyses were used to examine the effect of two different sequencing runs on quality metrics and variation in expression and alignment and for explorative analysis of the radiation dose and time point of analysis. Results More genes were differentially expressed 4 h after exposure to low and high doses of radiation than after 2 h. In experiments with high dose irradiation and RNA sequencing after 4 h, inactivation of the FAT10 cancer signaling pathway and activation of gluconeogenesis I, glycolysis I, and prostanoid biosynthesis was observed taking p-value (< 0.05) and (in) activating z-score (≥2.00 or ≤ − 2.00) into account. Two hours after high dose irradiation, inactivation of small cell lung cancer signaling was observed. For low dose irradiation experiments, we did not detect any significant (p < 0.05 and z-score ≥ 2.00 or ≤ − 2.00) activated or inactivated pathways for both time points. Conclusions Compared to 2 h after irradiation, a higher number of differentially expressed genes were found 4 h after exposure to low and high dose ionizing radiation. Differences in gene expression were related to signal transduction pathways of the DNA damage response after 2 h and to metabolic pathways, that might implicate cellular senescence, after 4 h. The time point 4 h will be used to conduct further irradiation experiments in a larger sample.


2020 ◽  
pp. 153537022096732
Author(s):  
Lille Kurvits ◽  
Freddy Lättekivi ◽  
Ene Reimann ◽  
Liis Kadastik-Eerme ◽  
Kristjan M Kasterpalu ◽  
...  

Transcriptomics in Parkinson’s disease offers insights into the pathogenesis of Parkinson’s disease but obtaining brain tissue has limitations. In order to bypass this issue, we profile and compare differentially expressed genes and enriched pathways (KEGG) in two peripheral tissues (blood and skin) of 12 Parkinson’s disease patients and 12 healthy controls using RNA-sequencing technique and validation with RT-qPCR. Furthermore, we compare our results to previous Parkinson’s disease post mortem brain tissue and blood results using the robust rank aggregation method. The results show no overlapping differentially expressed genes or enriched pathways in blood vs. skin in our sample sets (25 vs. 1068 differentially expressed genes with an FDR ≤ 0.05; 1 vs. 9 pathways in blood and skin, respectively). A meta-analysis from previous transcriptomic sample sets using either microarrays or RNA-Seq yields a robust rank aggregation list of cortical gene expression changes with 43 differentially expressed genes; a list of substantia nigra changes with 2 differentially expressed genes and a list of blood changes with 1 differentially expressed gene being statistically significant at FDR ≤ 0.05. In cortex 1, KEGG pathway was enriched, four in substantia nigra and two in blood. None of the differentially expressed genes or pathways overlap between these tissues. When comparing our previously published skin transcription analysis, two differentially expressed genes between the cortex robust rank aggregation and skin overlap. In this study, for the first time a meta-analysis is applied on transcriptomic sample sets in Parkinson’s disease. Simultaneously, it explores the notion that Parkinson’s disease is not just a neuronal tissue disease by exploring peripheral tissues. The comparison of different Parkinson’s disease tissues yields surprisingly few significant differentially expressed genes and pathways, suggesting that divergent gene expression profiles in distinct cell lineages, metabolic and possibly iatrogenic effects create too much transcriptomic noise for detecting significant signal. On the other hand, there are signs that point towards Parkinson’s disease-specific changes in non-neuronal peripheral tissues in Parkinson’s disease, indicating that Parkinson’s disease might be a multisystem disorder.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3467-3467
Author(s):  
Douglas RA Silveira ◽  
Prodromos Chatzikyriakou ◽  
Olena Yavorska ◽  
Sarah Mackie ◽  
Roan Hulks ◽  
...  

Abstract Differentiation arrest in acute myeloid leukaemia (AML) results in accumulation of leukaemic progenitors (L-Prog) and bone marrow failure. Mutant isocitrate dehydrogenase enzyme produces d-2-hydroxyglutarate (2HG), which inhibits α-ketoglutarate-dependent dioxygenases, including Jumonji histone demethylases (JKDM) and TET2, but how this causes AML is unclear. Inhibitors of mutant IDH enzyme (mIDHi) restore differentiation in IDH-mutant (mIDH) AML (Amatangelo et al., 2018). Here, we studied transcriptional networks involved using single-cell (SC) gene expression (GEX) and transcription factor (TF) motif accessibility in primary AML treated with the mIDH2 inhibitor enasidenib (ENA) and found that ENA activates cell cycle (CC) and pro-differentiation programmes through increased promoter accessibility of granulocyte-monocyte (GM)-TF targets. We treated patient L-Prog in vitro with ENA or vehicle, and performed SC RNA-seq (Chromium 10x) in 4 responsive (R), and one non-responsive (NR) patient samples in early, mid and late timepoints. GEX signatures were used to annotate cells according to function (undifferentiated [U], early and late GM [EGM and LGM]) and CC states. In R samples, ENA yielded more dividing late-GM at mid-late timepoints than DMSO (18% vs 6.5%), and more terminally differentiated neutrophils at late timepoints (46% vs 16%). Using SCENIC (Aibar et al., 2017) to assign highly differentially-expressed genes to TF motifs, we computed regulatory networks (regulons, 'R'). Expression of the SP1 R was strongly correlated with active proliferation and ENA conditions led to generation of more cells that co-expressed CEBPA R or CEBPE R with SP1 R, emphasising simultaneous engagement of CC and GM programmes. SP1 function is associated with CC and GM differentiation, and silencing of its binding to its targets contributes to AML pathogenesis (Maiques-Diaz et al., 2012). Control and NR samples failed to produce neutrophils, had reduced co-expression of CEBPE/SP1 R and yielded more poorly differentiated cells expressing GATA2 R. At the individual gene level, ENA stimulated downregulation of GATA2, GFI1B, IKZF1/2, and RUNX3 together with upregulation of immediate early genes which respond to cytokine and mitogenic stimuli (EGR1, IER2, AP-1) in early-mid phase. Later there is upregulation of CEBP TFs and effector genes FUT4, ELANE, AZU1 and PRTN3. Interestingly, expression of some GM-TFs (RUNX1, SPI1/PU.1, GFI1) was similar between ENA and DMSO, indicating that gene expression alone was insufficient for GM differentiation. Given the effects of 2-HG on JKDM, we assessed chromatin accessibility and TF binding using SC ATAC-seq. Overall, we had 25% of differentially accessible (DA) peaks, from which 75% were more accessible in ENA than in DMSO. ENA DA peaks were highly enriched in promoters. Using ArchR (Granja et al., 2021), we clustered cells and used ELANE expression levels to compute trajectories in parallel with SC RNA-seq data. ENA peaks were sequentially enriched for CBF/RUNX and GATA families, followed by AP-1 (JUN/FOS) and EGR/CEBP/KLF motifs. Footprinting analysis showed sequential decrease and increase of TF binding for GATA2 and CEBPA/E respectively during ENA-induced differentiation. Although it did not cause higher expression of SPI1/PU.1, ENA induced increased accessibility of its target binding sites at promoters, which included CEBPA/E and GM effectors (MPO, FUT4, PRTN3). This provides a novel mechanism by which ENA induces differentiation of L-prog. Regulatory network analysis around active, differentially expressed TFs at different phases of ENA-induced differentiation showed a switch from a repressive transcriptional landscape driven by stem-progenitor TFs, to one where AP-1 and GM-TFs activate expression of GM-effector genes. We postulate a model where MYC, E2F8 and EGR1 upregulate the CEBP family in early-mid differentiation. In addition to stimulation of promoter accessibility of TFBS, we find that ENA increases accessibility of cis-regulatory elements of CEBP TFs, adding another mechanism by which differentiation of L-Prog occurs. Our data on the mechanism of action of ENA suggest that differentiation arrest in IDHm AML involves suppression of CC and GM differentiation programs in a repressive chromatin landscape, likely via inhibition of KDM6A and demethylation of repressive H3K27me3 marks. Disclosures Silveira: Astellas: Speakers Bureau; Abbvie: Speakers Bureau; Servier/Agios: Research Funding; BMS/Celgene: Research Funding. Hasan: Bristol Myers Squibb: Current Employment. Thakurta: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company, Patents & Royalties. Vyas: Gilead: Honoraria; Astellas: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Takeda: Honoraria; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Janssen: Honoraria; Daiichi Sankyo: Honoraria; Jazz: Honoraria; Pfizer: Honoraria; Novartis: Honoraria. Quek: BMS/Celgene: Research Funding; Servier/Agios: Research Funding.


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 478-478
Author(s):  
Zhichao Fu ◽  
Shenghua Liu ◽  
Jianfei Wang ◽  
Ning He ◽  
Yadong Yang ◽  
...  

478 Background: Bladder cancer is the ninth most common malignancy in the world, approximately 75% of patients are diagnosed with non-muscle invasive bladder cancer (NMIBC). Smoking has been established to be a carcinogenic risk factor of bladder cancer. Nevertheless, the detailed relationship between smoking and progression of NMIBC are poorly understood. In this study, we revealed high expressed genes in smoking patients were significantly related to tumor progression in NMIBC patients. Methods: A total of 54 NMIBC patients including 19 never smokers and 35 smokers (current smokers and previous smokers) were enrolled in this study.The gene expression profiles were obtained by RNA-seq and the differentially expressed genes between smoking and non-smoking patients were identified using DESeq2 .The further analysis of the association between genes expression and patient survival in NMIBC cohorts(Jakob et al., 2016)and IMvigor 210 cohorts(Jonathan et al., 2016)by Kaplan-Meier survival estimate. Results: We identified 46 differentially expressed genes (p<0.05) in smoking and non-somking NMIBC patients. IDO1 and KRT14 gene, which related to bladder cancer progression and poor prognosis, was identified significantly higher expressed in somking group compared with non-smoking and they have a logFC of 2.6,3.9 with FDR 1.83E-5,3.40E-5 respectively. The expression of other genes, including KRT6A, CASP14, SERPINA1, MYO3A and IL20RB, were significantly higher in smoking patients compared to non-somking. Notably, survival data analysis from 476 NMIBC cohorts showed that IL20RB had a significant relationship with poor PFS(p = 0.021) and in the Mvigor 210 Cohort including 310 advanced or metastatic urothelial carcinoma patients treated with atezolizumab, we found that the high expression of IL20RB was significantly related to poor OS(p = 0.002). Conclusions: We identified 14 genes related to tumor progression were significantly higher in smoking NMIBC patients than in non-smoking. Among these genes, the expression of IL20RB was related to the poor prognosis of NMIBC, and it may correlates with reduced clinical benefit of immunotherapeutic in patients with urothelial carcinoma.


2019 ◽  
Vol 316 (2) ◽  
pp. E196-E209 ◽  
Author(s):  
Jennifer S. Stancill ◽  
Anna B. Osipovich ◽  
Jean-Philippe Cartailler ◽  
Mark A. Magnuson

Fluorescent protein reporter genes are widely used to identify and sort murine pancreatic β-cells. In this study, we compared use of the MIP-GFP transgene, which exhibits aberrant expression of human growth hormone (hGH), with a newly derived Ins2Apple allele that lacks hGH expression on the expression of sex-specific genes. β-Cells from MIP-GFP transgenic mice exhibit changes in the expression of 7,733 genes, or greater than half of their transcriptome, compared with β-cells from Ins2Apple/+ mice. To determine how these differences might affect a typical differential gene expression study, we analyzed the effect of sex on gene expression using both reporter lines. Six hundred fifty-seven differentially expressed genes were identified between male and female β-cells containing the Ins2Apple allele. Female β-cells exhibit higher expression of Xist, Tmed9, Arpc3, Eml2, and several islet-enriched transcription factors, including Nkx2-2 and Hnf4a, whereas male β-cells exhibited a generally higher expression of genes involved in cell cycle regulation. In marked contrast, the same male vs. female comparison of β-cells containing the MIP-GFP transgene revealed only 115 differentially expressed genes, and comparison of the 2 lists of differentially expressed genes revealed only 17 that were common to both analyses. These results indicate that 1) male and female β-cells differ in their expression of key transcription factors and cell cycle regulators and 2) the MIP-GFP transgene may attenuate sex-specific differences that distinguish male and female β-cells, thereby impairing the identification of sex-specific variations.


PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1991 ◽  
Author(s):  
Yanping Li ◽  
Shilin Tian ◽  
Xiaojun Yang ◽  
Xin Wang ◽  
Yuhai Guo ◽  
...  

Physcion and chrysophanol induce defense responses against powdery mildew in cucumbers. The combination of these two compounds has synergistic interaction against the disease. We performed RNA-seq on cucumber leaf samples treated with physcion and chrysophanol alone and with their combination. We generated 17.6 Gb of high-quality sequencing data (∼2 Gb per sample) and catalogued the expressions profiles of 12,293 annotated cucumber genes in each sample. We identified numerous differentially expressed genes that exhibited distinct expression patterns among the three treatments. The gene expression patterns of the Chr and Phy treatments were more similar to each other than to the Phy × Chr treatment. The Phy × Chr treatment induced the highest number of differentially expressed genes. This dramatic transcriptional change after Phy × Chr treatment leaves reflects that physcion combined with chrysophanol treatment was most closely associated with induction of disease resistance. The analysis showed that the combination treatment caused expression changes of numerous defense-related genes. These genes have known or potential roles in structural, chemical and signaling defense responses and were enriched in functional gene categories potentially responsible for cucumber resistance. These results clearly demonstrated that disease resistance in cucumber leaves was significantly influenced by the combined physcion and chrysophanol treatment. Thus, physcion and chrysophanol are appealing candidates for further investigation of the gene expression and associated regulatory mechanisms related to the defense response.


Diagnostics ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 416
Author(s):  
Zeenat Mirza ◽  
Umama A. Abdel-dayem

Endometriosis is characterized by ectopic endometrial tissue implantation, mostly within the peritoneum, and affects women in their reproductive age. Studies have been done to clarify its etiology, but the precise molecular mechanisms and pathophysiology remain unclear. We downloaded genome-wide mRNA expression and clinicopathological data of endometriosis patients and controls from NCBI’s Gene Expression Omnibus, after a systematic search of multiple independent studies comprising 156 endometriosis patients and 118 controls to identify causative genes, risk factors, and potential diagnostic/therapeutic biomarkers. Comprehensive gene expression meta-analysis, pathway analysis, and gene ontology analysis was done using a bioinformatics-based approach. We identified 1590 unique differentially expressed genes (129 upregulated and 1461 downregulated) mapped by IPA as biologically relevant. The top upregulated genes were FOS, EGR1, ZFP36, JUNB, APOD, CST1, GPX3, and PER1, and the top downregulated ones were DIO2, CPM, OLFM4, PALLD, BAG5, TOP2A, PKP4, CDC20B, and SNTN. The most perturbed canonical pathways were mitotic roles of Polo-like kinase, role of Checkpoint kinase proteins in cell cycle checkpoint control, and ATM signaling. Protein–protein interaction analysis showed a strong network association among FOS, EGR1, ZFP36, and JUNB. These findings provide a thorough understanding of the molecular mechanism of endometriosis, identified biomarkers, and represent a step towards the future development of novel diagnostic and therapeutic options.


2015 ◽  
Vol 14 (1) ◽  
pp. 2146-2155 ◽  
Author(s):  
L.F. Ning ◽  
Y.Q. Yu ◽  
E.T. GuoJi ◽  
C.G. Kou ◽  
Y.H. Wu ◽  
...  

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