Genomic Adaption and Mutational Patterns in a HaCaT Subline Resistant to Alkylating Agents and Ionizing Radiation.

Sulfur mustard (SM) is a chemical warfare agent that can damage DNA via alkylation and oxidative stress. Because of its genotoxicity, SM is cancerogenic and the progenitor of many chemotherapeutics. Previously, we developed an SM-resistant cell line via chronic exposure of the popular keratinocyte cell line HaCaT to increasing doses of SM over a period of 40 months. In this study, we compared the genomic landscape of the SM-resistant cell line HaCaT/SM to its sensitive parental line HaCaT in order to gain insights into genetic changes associated with continuous alkylation and oxidative stress. We established chromosome numbers by cytogenetics, analyzed DNA copy number changes by means of array Comparative Genomic Hybridization (array CGH), employed the genome-wide chromosome conformation capture technique Hi-C to detect chromosomal translocations, and derived mutational signatures by whole-genome sequencing. We observed that chronic SM exposure eliminated the initially prevailing hypotetraploid cell population in favor of a hyperdiploid one, which contrasts with previous observations that link polyploidization to increased tolerance and adaptability toward genotoxic stress. Furthermore, we observed an accumulation of chromosomal translocations, frequently flanked by DNA copy number changes, which indicates a high rate of DNA double-strand breaks and their misrepair. HaCaT/SM-specific single-nucleotide variants showed enrichment of C > A and T > A transversions and a lower rate of deaminated cytosines in the CpG dinucleotide context. Given the frequent use of HaCaT in toxicology, this study provides a valuable data source with respect to the original genotype of HaCaT and the mutational signatures associated with chronic alkylation and oxidative stress.

CT Irradiation-induced Changes of Gene Expression within Peripheral Blood Cells.

Computed tomography (CT) is a crucial element of medical imaging diagnostics. The widespread application of this technology has made CT one of the major contributors to medical radiation burden, despite the fact that doses per individual CT scan steadily decrease due to the advancement of technology. Epidemiological risk assessment of CT exposure is hampered by the fact that moderate adverse effects triggered by low doses of CT exposure are likely masked by statistical fluctuations. In light of these limitations, there is need of further insights into the biological processes induced by CT scans to complement the existing knowledge base of risk assessment. This prompted us to investigate the early transcriptomic response of ex vivo irradiated peripheral blood of three healthy individuals. Samples were irradiated employing a modern dual-source-CT-scanner with a tube voltage of 150 kV, resulting in an estimated effective dose of 9.6 mSv. RNA was isolated 1 h and 6 h after exposure, respectively, and subsequently analyzed by RNA deep sequencing. Differential gene expression analysis revealed shared upregulation of AEN, FDXR, and DDB2 6 h after exposure in all three probands. All three genes have previously been discussed as radiation responsive genes and have already been implicated in DNA damage response and cell cycle control after DNA damage. In summary, we substantiated the usefulness of AEN, FDXR, and DDB2 as RNA markers of low dose irradiation. Moreover, the upregulation of genes associated with DNA damage reminds one of the genotoxic nature of CT diagnostics even with the low doses currently applied.

X-ray irradiation induces subtle changes in the genome-wide distribution of DNA hydroxymethylation with opposing trends in genic and intergenic regions.

DNA hydroxymethylation has gained attention as an intermediate in the process of DNA demethylation. More recently, 5-hydroxymethylcytosine has been recognized as an independent epigenetic mark that can persist over time and that exerts influence on gene regulation and other biological processes. Deregulation of this DNA modification has been linked to tumorigenesis and a variety of other diseases. The impact of irradiation on DNA hydroxymethylation is poorly understood. In this study we exposed lung fibroblasts (IMR90) to 0.5 Gy and 2 Gy of X-rays, respectively. We characterized radiation induced changes of DNA hydroxymethylation 1 h, 6 h, 24 h and 120 h after exposure employing immunoprecipitation and subsequent deep sequencing of the genomic fraction enriched for hydroxymethylated DNA. Transcriptomic response to irradiation was analyzed for time points 6 h and 24 h post exposure by means of RNA sequencing. Irradiated and sham-irradiated samples shared the same overall distribution of 5-hydroxymethylcytosines with respect to genomic features such as promoters and exons. The frequency of 5-hydroxymethylcytosine peaks differentially detected in irradiated samples increased in genic regions over time, while the opposing trend was observed for intergenic regions. Onset and extent of this effect was dose dependent. Moreover, we demonstrated a biased distribution of 5-hmC alterations at CpG islands and sites occupied by the DNA binding protein CTCF. In summary, our study provides new insights into the epigenetic response to irradiation. Our data highlight genomic features more prone to irradiation induced changes of DNA hydroxymethylation, which might impact early and late onset effects of irradiation.

Correcting false gene expression measurements from degraded RNA using RTQ-PCR.

This paper describes a method allowing correcting false gene expression measured on highly degraded RNA using real-time quantitative reverse transcription-polymerase chain reaction (RTQ-PCR). RNA was isolated from different models (in vitro cell lines, in vivo models of human and dog) and different tissue types. In vitro RNA degradation and modeling of in vivo degradation were applied on intact and degraded total RNA. Gene expression (eg, Bcl-2, GAPDH, PGK, PSME3, RAB2, BAX) was measured using RTQ-PCR. 18S rRNA proved to be the most constant house-keeping gene. Less than 10-fold degraded RNA can be quantified correctly when using 18S rRNA for normalization purposes. Higher-fold degraded RNA can be quantified correctly up to a precision that is comparable to RTQ-PCR measurements on intact RNA when simulating the RNA-species and tissue-specific degradation kinetic.