The Role of the Nuclear Factor κB Pathway in the Cellular Response to Low and High Linear Energy Transfer Radiation

Abstract

Astronauts are exposed to considerable doses of space radiation during long-term space missions. As complete shielding of the highly energetic particles is impracticable, the cellular response to space-relevant radiation qualities has to be understood in order to develop countermeasures and to reduce radiation risk uncertainties. The transcription factor Nuclear Factor κB (NF-κB) plays a fundamental role in the immune response and in the pathogenesis of many diseases. We have previously shown that heavy ions with a linear energy transfer (LET) of 100–300 keV/µm have a nine times higher potential to activate NF-κB compared to low-LET X-rays. Here, chemical inhibitor studies using human embryonic kidney cells (HEK) showed that the DNA damage sensor Ataxia telangiectasia mutated (ATM) and the proteasome were essential for NF-κB activation in response to X-rays and heavy ions. NF-κB’s role in cellular radiation response was determined by stable knock-down of the NF-κB subunit RelA. Transfection of a RelA short-hairpin RNA plasmid resulted in higher sensitivity towards X-rays, but not towards heavy ions. Reverse Transcriptase real-time quantitative PCR (RT-qPCR) showed that after exposure to X-rays and heavy ions, NF-κB predominantly upregulates genes involved in intercellular communication processes. This process is strictly NF-κB dependent as the response is completely absent in RelA knock-down cells. NF-κB’s role in the cellular radiation response depends on the radiation quality.

1. Introduction

Exposure to galactic cosmic radiation which consists of protons, α-particles and heavier nuclei is a major risk factor for long-term human space missions. On the International Space Station (ISS), the effective dose rate quantified by human phantom experiments amounted to 550–570 µSv/d inside the station and 690–720 µSv/d during extravehicular activities [1,2]. During a mission to Mars, astronauts will accumulate considerable doses of galactic cosmic radiation of about 1 Sv [3,4]. Due to mass limitations for spacecraft and production of secondary particles in shielding material, the radiation exposure cannot simply be avoided by radiation shielding of the spacecraft [5]. The potential space radiation risks are cancer and non-cancer effects such as cataract formation [6,7] and degenerative effects in the central nervous and cardiovascular system [8,9]. Furthermore, acute effects may arise after exposure to a solar particle event during a situation of insufficient shielding [10,11].

Although heavy nuclei only make up about 2% of the fluence in space, they will account for much of the biological consequences due to their higher linear energy transfer (LET) [12]. Traversal of heavy nuclei through cellular structures produces ionization tracks along their path, resulting in the formation of complex DNA damage [13] which elicits the DNA damage response (DDR) leading to several possible outcomes, such as cell cycle arrest, allocating additional time for repair of the damaged DNA, cellular senescence or different types of cell death, if the damage is too severe and cannot be repaired [14] (reviewed in Hellweg et al., IJPT, in press). The transcription factor Nuclear Factor κB (NF-κB) is involved e.g., in regulation of proliferation, immune system development and performance, inflammation and apoptosis [15]. The activation NF-κB by ionizing radiation [16] was discovered early after its first description [17]. Exposure to accelerated heavy ions (95 MeV/nucleon-MeV/n-Ar, LET 272 keV/µm) resulted in much stronger activation of NF-κB in human cells than X-ray exposure [18]. The NF-κB activation by energetic carbon ions (35 and 75 MeV/n, LET 73 and 33 keV/µm, respectively) was comparable to the effect induced by X-rays [19], suggesting a narrow peak in the LET dependence of NF-κB activation. This was confirmed by studies with a large set of heavy ions, covering a LET range of ~30–10,000 keV/µm, which revealed a maximal NF-κB activation by heavy ions in a LET range of ~91–272 keV/µm [20]. This LET range is highly relevant for space radiation exposure of astronauts [21]. Furthermore, during the last fifteen years, in addition to the canonical and alternative pathways of NF-κB activation, a direct pathway for its activation by genotoxic stress was discovered. This sub-pathway involves a nuclear to cytoplasmic shuttle that transports the information from radiation-induced DNA double strand breaks in the cell nucleus to the cytoplasm where NF-κB is sequestered in its inactive state [22,23]. The released NF-κB translocates to the nucleus and binds to κB DNA motifs (NF-κB response elements, NRE) initiating gene transcription. NRE have been identified in the promoter or enhancer regions of a number of growth factors, antiapoptotic molecules, cytokines and adhesion molecules involved in fibrosis and inflammation [24,25]. Our recent work showed that the expression level of several NF-κB-dependent cyto- and chemokines after heavy ion exposure follows a similar LET dependence as NF-κB activation itself [26].

As NF-κB is involved in regulation of apoptosis and immune and inflammatory responses, its activation may influence the outcome of a heavy ion exposed cell (cellular survival/death, cell cycle arrest, DNA repair) and therefore might be relevant for late effects which might occur after prolonged low-dose exposure during an interplanetary mission and might be potential pharmacological target for mitigation of the radiation response. The aim of this work was to analyze the role of the NF-κB pathway in the cellular response to exposure to space-relevant high-LET radiation.

In order to enable monitoring of radiation-induced NF-κB activation, a previously developed reporter cell line, HEK-pNF-κB-d2EGFP/Neo L2 [27], was used. This cell line harbors a plasmid which reports NF-κB-dependent transcriptional activation in response to various stimuli simply by expressing the destabilized variant of enhanced green fluorescent protein (d2EGFP) [28] when activated NF-κB binds to its synthetic promoter which contains four NRE tandem copies. By measuring the yields of green fluorescence of the reporter protein it is possible to quantify NF-κB-dependent transcriptional activation in response to stimuli.

To assess the role of NF-κB in the cellular response to heavy ion exposure, besides the use of chemical inhibitors, the expression of the NF-κB subunit p65/RelA was downregulated by stable transfection of the reporter cell line with a RelA short-hairpin RNA (shRNA RelA). Growth, cell cycle progression, survival and gene expression after ionizing radiation exposure (low- and high-LET) were compared for cells with normal and reduced RelA expression. Due to limited beam time availability, heavy ion experiments were restricted to high-dose rate exposures.

2. Results

The role of the NF-κB pathway in the cellular response to low and high-LET radiation was studied in human embryonic kidney cells.

2.1. Kinetics of NF-κB Activation

The kinetics of NF-κB-dependent expression of the reporter gene d2EGFP was determined after exposure to 10.9 Gy X-rays, 10.9 Gy carbon ions or 10 ng/mL tumor necrosis factor α (TNF-α) (Figure 1). The high dose was chosen as X-rays are a weak activator of NF-κB. The activation was strongest in response to TNF-α and reached a maximum after 20 h. After irradiation, the maximum was reached already after 16 h. Two days after carbon ion exposure and after addition of TNF-α, NF-κB dependent d2EGFP expression was still detectable in ~30% and ~50% of the cells, respectively. Activation by X-rays was transient and reached normal levels within one day.

Figure 1.

Kinetics of Nuclear Factor κB (NF-κB)-dependent destabilized enhanced green fluorescent protein (d2EGFP) expression after treatment with tumor necrosis factor α (TNF-α), X-rays and carbon ions, as detected in stably transfected human embryonic kidney cells (HEK) cells from d2EGFP reporter gene expression controlled by a promoter containing four NF-κB response elements (NRE) and the minimal promoter of thymidine kinase (TK) (HEK-pNF-κB-d2EGFP/Neo clone L2). HEK-pNF-κB-d2EGFP/Neo L2 cells were irradiated with X-rays (200 kV, linear energy transfer (LET) ~0.3–3 keV/µm) or ¹³C-ions (75 MeV/n, LET 34 keV/µm) or incubated with 10 ng/mL TNF-α as a positive control. At different time points after induction, cells were trypsinated and fixed with 3.7% formaldehyde. d2EGFP expression was analyzed by flow cytometry.

2.2. Ataxia Telangiectasia Mutated (ATM) and the Proteasome Are Required for NF-κB Activation by X-rays and Heavy Ion Exposure

To determine whether ATM and the proteasome are involved in NF-κB activation by different ionizing radiation qualities, specific inhibitors were used. First, cytotoxicity of the inhibitors and the inhibitory concentration were determined (Figure 2A). 2 µmol/L MG-132 were sufficient to completely suppress TNF-α induced NF-κB activation (Figure 2B). The ATM inhibitor KU-55933 had no effect on TNF-α triggered NF-κB activation, as it is not involved in the classical pathway (Figure 2C). Therefore, the concentration was determined from the literature (10 µmol/L). Treatment with 2 µmol/L MG-132 or 10 µmol/L KU-55933 completely abolished the X-ray-induced NF-κB activation (Figure 2D). Compared to X-rays in the same dose range, exposure with argon ions resulted in a higher NF-κB activation with a saturation at ~8 Gy (Figure 2E). Additionally, this activation was completely suppressed by KU-55933 and by MG-132 (Figure 2E).

Figure 2.

Ataxia telangiectasia mutated (ATM) and the proteasome are required for NF-κB activation by low and high LET radiation. Means and standard error (SE) of two to three independent experiments with three replicates each are shown. The viability of HEK-pNF-κB-d2EGFP/Neo L2 cells after treatment with increasing concentrations of ATM inhibitor KU-55933 and the proteasome inhibitor MG-132 was determined by means of the 3-(4,5-dimethylthiazole-2-yl-2,5-diphenyltetra- zolium bromide (MTT) test 100 h after adding the inhibitor. The dotted line indicates 80% relative viability (A); the effect of MG-132 (B) and KU-55933 (C) on TNF-α-induced activation of the NF-κB pathway was determined in HEK-pNF-κB-d2EGFP/Neo L2 cells preincubated with the inhibitor for 1 h before addition of 10 ng/mL TNF-α. Cells were detached and fixed with 3.7% formaldehyde after 18 h. NF-κB-dependent d2EGFP-expression was measured by flow cytometry. The suppression of radiation-induced activation of the NF-κB pathway by KU-55933 and MG-132 was determined in HEK-pNF- κB-d2EGFP/Neo L2 cells after exposure to X-rays (200 kV, LET ~0.3–3 keV/µm, (D) and ³⁶Ar-ions (95 MeV/n, LET 270 keV/µm, (E) cells were preincubated with the inhibitor for 1 h and subsequently irradiated. After 18 h, NF-κB-dependent d2EGFP-expression was measured by flow cytometry. The percentage of d2EGFP(+) cells was normalized to the mock-irradiated control. For ³⁶Ar ions, doses (Gy) were calculated from fluences (P/cm²) according to Equation (1) (Section 4.5.3.).

2.3. Effect of RelA Knock-Down on NF-κB-Dependent Gene Expression

The reporter gene and inhibitor experiments had shown that ATM and the proteasome are involved in ionizing radiation-induced NF-κB activation. For specific downregulation of the NF-κB pathway, the key component RelA was knocked down by stable transfection of four different RelA shRNA plasmids carrying a hygromycin resistance gene. The knock-down level in polyclonal hygromycin-resistant cells resulting from transfection with RELA-1 and -4 plasmids was above 40% (Figure 3A). Clones from these populations were grown, and three clones reached a knock-down level above 70%. The clone with the highest knock-down was selected for further experiments and designated HEK shRNA RelA (Figure 3B, arrow).

Figure 3.

Verification of RelA knock-down on messenger RNA (mRNA) level after transfection of HEK-pNF-κB-d2EGFP/Neo L2 cells with RelA short-hairpin RNA (shRNA) plasmids. Polyclonal hygromycin-resistant cells resulting from transfection with the shRNA plasmids RELA-1 to 4 were grown in petri dishes and total RNA was collected after 3 days (A). Clones were grown from the cell population transfected with the shRNA plasmids RELA-1 and 4, as these were most effective in suppressing RelA expression, and the knock-down level of RelA mRNA was determined in these clones (B). RelA mRNA expression was determined by real-time RT-qPCR. Means and SD of three independent experiments with each three replicates are shown.

As the selected HEK shRNA RelA clone showed a remaining RelA expression of ~17%, the effect of this residual level on basal expression (Table 1) and on TNF-α-induced expression of NF-κB target genes (Table 2) was analyzed.

Table 1.

Basal gene expression in HEK shRNA RelA cells compared to the original cell line HEK-pNF-κB-d2EGFP/Neo L2 using the RT2 Profiler PCR array *.

Gene Symbol	Description	Relative Gene Expression (µ ± SE)
CCL5	Chemokine (C-C motif) ligand 5	15.57 ± 8.77
CCND1	Cyclin D1	−2.99 ± 0.05
IL8/CXCL8	Interleukin-8	−8.12 ± 5.20
GADD45B	Growth arrest and DNA-damage-inducible, beta	3.63 ± 1.08
JUN	Jun oncogene	4.96 ± 1.85
RELA	V-rel reticuloendotheliosis viral oncogene homolog A	−4.93 ± 0.02 **

* The table shows all genes from both the customized and the NF-κB signaling array, that are more than threefold up- or downregulated in HEK shRNA RelA cells compared to HEK-pNF-κB- d2EGFP/Neo L2 cells. 162 genes were investigated. Mean (µ) and standard error (SE) of the expression level were calculated from up to five independent experiments with untreated cells. Prior to investigating gene expression with RT² Profiler^TM PCR arrays, a proper RNA and cDNA quality was confirmed. ** Five times less RelA mRNA in the HEK shRNA RelA cells compared to the HEK-pNF-κB-d2EGFP/Neo L2 cells results in a reduction of the expression level of 100% to 20% with a downregulation of 80%. This knock-down level is in line with the 87% observed using the RelA primer assays before. The complete data set is shown in Table A3.

Table 2.

TNF-α * induced gene expression in HEK shRNA RelA cells (RelA k.d.) compared to the original cell line HEK-pNF-κB-d2EGFP/Neo L2 (HEK wt) using the RT2 Profiler PCR array **.

Gene Symbol	Description	Relative Gene Expression
		HEK wt	RelA k.d.
BIRC3	Baculoviral IAP repeat containing 3	4.76 ± 0.98	2.03 ± 0.47
C3	Complement component 3	5.97 ± 1.39	1.97 ± 0.57
CCL2	Chemokine (C-C motif) ligand 2	3.04 ± 0.24	−1.28 ± 0.09
CCL11	Chemokine (C-C motif) ligand 11	3.73 ± 1.51	1.84 ± 0.57
CCL5	Chemokine (C-C motif) ligand 5	4.79 ± 1.79	29.02 ±12.66
CD69	CD69 molecule	3.37 ± 0.23	−1.15 ± 0.04
CD83	CD83 molecule	5.68 ± 0.82	1.67 ± 0.08
CXCL1	Chemokine (C-X-C motif) ligand 1	47.46 ± 11.75	−1.05 ± 0.08
CXCL10	Chemokine (C-X-C motif) ligand 10	23.38 ± 5.72	−1.18 ± 0.06
CXCL2	Chemokine (C-X-C motif) ligand 2	18.29 ± 3.92	1.72 ± 0.33
EXO1	Exonuclease 1	1.97 ± 0.67	−4.92 ± 0.02
IL1R2	Interleukin 1 receptor, type II	4.02 ± 1.29	1.71 ± 0.30
IL8/CXCL8	Interleukin-8	17.83 ± 5.19	2.39 ± 0.50
IRF1	Interferon regulatory factor 1	3.16 ± 0.40	1.29 ± 0.11
MMP9	Matrix metallopeptidase 9	3.34 ± 0.61	2.01 ± 0.37
NFKBIA	Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha	11.88 ± 1.66	1.22 ± 0.04
PLAU	Plasminogen activator, urokinase	3.35 ± 0.57	2.64 ± 0.58
PTGS2	Prostaglandin-endoperoxide synthase 2	3.99 ± 0.53	2.17 ± 0.39
TNF	Tumor necrosis factor	60.95 ± 12.42	3.40 ± 0.54
TNFRSF1B	Tumor necrosis factor receptor superfamily, member 1B	1.49 ± 0.34	4.13 ± 2.29

* Cells were treated for 6 h with 10 ng/mL TNF-α. ** The table shows all genes from both, the customized and the NF-κB signaling array, that are more than threefold up- or downregulated (in bold) in HEK shRNA RelA cells compared to HEK-pNF-kB-d2EGFP/Neo L2 cells. 162 genes were investigated. The mean of the fold up- or downregulation was calculated from up to two independent experiments with untreated cells. Prior to investigating gene expression with RT² Profiler^TM PCR arrays, a proper RNA and cDNA quality was confirmed. The complete data set is shown in Table A4.

As expected, RelA mRNA was downregulated. In addition, cyclin D1 and IL-8 expression were reduced in HEK shRNA RelA cells compared to the parental cell line (Table 1). The expression of CCL5, GADD45B and Jun was increased in cells with RelA downregulation.

Incubation with TNF-α induced a large set of NF-κB target genes in HEK cells, with highest expression of TNF, IL8, CXCL1, 2 and 10, and NF-kappa-B inhibitor alpha (NFKBIA) (Table 2). RelA knock-down nearly completely abolishes the TNF-α-induced expression of all these target genes except CCL5. EXO1 which is not a NF-κB target gene is downregulated when RelA is knocked down.

Furthermore, NF-κB-dependent reporter gene expression was determined. The basal level of d2EGFP expression was unchanged compared to the parental cell lines and to cells stably transfected with a shRNA control plasmid with a random sequence (Figure 4A). TNF-α- and X-ray-induced d2EGFP expression were significantly reduced in HEK shRNA RelA cells compared to the parental cell line as well as to the shRNA control cell line (p ≤ 0.05, Figure 4A). The reactions of the parental cell line and the shRNA control cell line were not significantly different in no case based on a p = 2α level of <0.05. Carbon ion induced d2EGFP expression was completely abolished (Figure 4B).

Figure 4.

Effect of RelA knock-down on NF-κB activation by X-rays and TNF-α (A), and by carbon ions (B). HEK-pNF-κB-d2EGFP/Neo L2 cells, cells stably transfected with the shRNA control vector (HEK shRNA control) or the RelA shRNA plasmid (HEK shRNA RelA) were seeded in petri dishes, grown for two days, and exposed to X-rays (200 kV, LET ~0.3–3 keV/µm), incubated with 10 ng/mL TNF-α (A) or irradiated with ¹³C-ions (75 MeV/n, LET 34 keV/µm). 18 h after exposure, cells were harvested by trypsination, fixed with 3.5% formaldehyde and the percentage of d2EGFP⁽⁺⁾ cells was determined by flow cytometry.

2.4. Growth of RelA Knock-Down Cells

In order to determine whether RelA knock-down affects basic cellular functions such as growth, cell numbers were counted during a growth period of 10 days. HEK shRNA RelA cells showed a prolonged lag phase compared to HEK-pNF-κB-d2EGFP/Neo clone L2 cells (Figure 5). Once proliferation starts, both cell lines grow with the same velocity.

Figure 5.

Growth kinetics of HEK shRNA RelA cells compared to the original cell line. 10⁴ cells/cm² HEK-pNF-κB-d2EGFP/Neo L2 cells and cells stably transfected with the RelA shRNA plasmid (HEK shRNA RelA) were seeded in petri dishes. On a daily base, cells were harvested by trypsination and counted in a counting chamber. The graph shows means and standard errors of three independent experiments.

2.5. Survival of RelA Knock-Down Cells After X-ray and after Heavy Ion Exposure

The survival curves after exposure of HEK-pNF-κB-d2EGFP/Neo clone L2 cells and HEK shRNA RelA cells were of curvilinear shape (Figure 6). The curve of the RelA knock-down cells is significantly steeper, indicating a higher radiosensitivity. The D₀ indicating the dose necessary to reduce survival of HEK cells to 37% is 1.12 Gy for the parental cell line compared to 0.82 Gy for the RelA knock-down cells (Table 3).

Figure 6.

Clonogenic survival of HEK cells with RelA knock-down compared to the parental cells after X-irradiation (200 kV). HEK-pNF-κB-d2EGFP/Neo L2 and HEK shRNA RelA cells were irradiated, incubated and colonies were fixed after 14 to 21 days (means ± SE of 7–13 independent experiments with six replicates each).

Table 3.

Parameters of the survival curves *.

		D0 (Gy)		n		Dq (Gy)		Significance Level for D0
Radiation Quality	LET (keV/µm)	HEK wt	RelA k.d.	HEK wt	RelA k.d.	HEK wt	RelA k.d.	p = 2α
X-rays	0.3–3	1.20 ± 0.05	0.76 ± 0.04	1.31 ± 0.84	2.43 ± 1.06	0.33 ± 0.71	0.68 ± 0.33	<0.005
12C	10	1.03 ± 0.14	0.91 ± 0.22	1.17 ± 0.34	1.64 ± 1.15	0.15 ± 0.36	0.34 ± 0.71	0.6006
28Si	55	0.47 ± 0.05	0.38 ± 0.04	1.28 ± 0.34	1.31 ± 0.12	0.12 ± 0.14	0.10 ± 0.12	0.1923
58Ni	175	0.53 ± 0.02	0.61 ± 0.04	1.0 ± 0.26	0.73 ± 0.26	0.0 ± 0.12	−0.19 ± 0.19	0.0607
36Ar	271	0.72 ± 0.09	0.68 ± 0.08	0.82 ± 0.36	1.11 ± 0.29	−0.14 ± 0.27	0.08 ± 0.19	0.8371

* For cellular survival data the parameters D₀ and n of the dose effect curve were calculated by regression analysis (survival versus dose) and fitted to the equation S = 1 − (1 – exp^D/Do)ⁿ. The comparison of different survival curves were performed by Student’s t-test of the regression coefficients. A p = 2α level of <0.05 was considered as significant. Comparison of two regression lines for HEK-pNF-κB-d2EGFP/Neo L2 and HEK shRNA RelA cells is based on the hypothesis (σ²yx)₁ ≠ (σ²yx)₂ for D₀; P, probability.

High-LET radiation exposure of HEK cells results in purely exponential survival curves (Figure 7). Based on energy dose, heavy ions with an LET of 55 keV/µm are most efficient in cell killing (Figure 7A), while radiation qualities with an LET above or below this range are less efficient in cell killing (Figure 7A,B). The D₀ first decreases to 0.47 Gy for silicon ions, then increases with increasing LET to 0.72 Gy for argon ions (Table 3).

Figure 7.

Clonogenic survival of HEK cells with RelA knock-down compared to the parental cells after exposure to heavy ions of diffent LET (A), linear energy transfer (LET) < 100 keV/µm, (B) LET > 100 keV/µm). HEK-pNF-κB-d2EGFP/Neo L2 and HEK shRNA RelA cells were irradiated, incubated and colonies were fixed after 14–21 days (means ± SE of 1–2 independent experiments with each six replicates).

2.6. Induction of NF-κB Target Gene Expression by Exposure to Different Radiation Qualities

As NF-κB was weakly activated by X-rays and activated by heavy ions to a higher extent, dependent on LET, but only for X-rays, a reduction of survival in case of RelA downregulation was observed, the expression of 88 NF-κB target genes was profiled 6 h after exposure to X-rays and heavy ions (Table 4).

Table 4.

Relative gene expression in HEK-pNF-κB-d2EGFP/Neo L2 (HEK wt) and HEK shRNA RelA (RelA k.d.) cells after irradiation * using the RT2 Profiler PCR array **. The complete data sets are shown in Table A5 and Table A6.

Radiation Quality	X-rays						48Ti ions
Dose (Gy)	0.5		4.0		8.0		0.5		4.0
Gene Symbol/Cell Line	HEK wt	RelA k.d.	HEK wt	RelA k.d.	HEK wt	RelA k.d.	HEK wt	RelA k.d.	HEK wt	RelA k.d.
CCL5	−1.42 ± 0.24	1.55 ± 0.68	3.68 ± 1.53	2.07 ± 0.90	3.34 ± 1.40	−1.47 ± 0.30	−1.97 ± 0.17	−1.89 ± 0.23	−1.56 ± 0.22	1.22 ± 0.53
CD83	−1.01 ± 0.03	1.12 ± 0.06	2.47 ± 0.08	1.67 ± 0.08	3.75 ± 0.18	2.27 ± 0.11	1.25 ± 0.04	1.09 ± 0.05	4.37 ± 0.14	1.42 ± 0.07
CXCL1	1.04 ± 0.20	1.06 ± 0.09	3.57 ± 0.56	1.52 ± 0.12	6.96 ± 1.01	2.02 ± 0.16	1.01 ± 0.19	−1.48 ± 0.05	7.55 ± 1.44	1.21 ± 0.10
CXCL2	−1.35 ± 0.13	−1.04 ± 0.19	2.33 ± 0.33	1.55 ± 0.30	3.01 ± 0.40	1.29 ± 0.25	1.30 ± 0.22	1.11 ± 0.21	3.48 ± 0.59	1.00 ± 0.19
CXCL10	−1.10 ± 0.16	1.05 ± 0.08	4.68 ± 0.60	2.23 ± 0.16	14.58± 2.57	2.04 ± 0.15	−1.27 ± 0.14	−1.30 ± 0.06	6.70 ± 1.20	−1.15 ± 0.06
CXCL8/IL8	−1.73 ± 0.19	1.20 ± 0.19	2.42 ± 0.66	1.38 ± 0.22	3.74 ± 0.86	1.01 ± 0.16	1.38 ± 0.44	−1.26 ± 0.13	6.10 ± 1.96	1.44 ± 0.23
NFKB2	1.01 ±0.12	1.09 ± 0.18	2.93 ± 0.33	1.48 ± 0.24	4.07 ± 0.45	1.62 ± 0.26	−1.25 ± 0.09	−1.02 ± 0.16	2.52 ± 0.29	1.04 ± 0.17
NFKBIA	−1.07 ± 0.08	−1.13 ± 0.10	2.65 ± 0.34	1.47 ± 0.17	4.26 ± 0.40	1.69 ± 0.19	−1.11 ± 0.08	1.05 ± 0.12	3.55 ± 0.31	1.47 ± 0.17
TNF	1.01 ± 0.11	1.08 ± 0.05	5.10 ± 0.99	1.17 ± 0.06	12.90 ± 1.72	1.15 ± 0.05	1.08 ± 0.12	−1.26 ± 0.04	6.72 ± 0.76	−1.12 ± 0.04
TNFRSF1B	−1.81 ± 0.16	−2.15 ± 0.26	1.02 ± 0.22	4.10 ± 2.28	1.11 ± 0.22	2.39 ± 1.33	1.07 ± 0.30	2.88 ± 1.60	−2.04 ± 0.14	−2.65 ± 0.21
VCAM1	−1.27 ± 0.20	1.08 ± 0.05	4.24 ± 1.56	1.17 ± 0.06	2.94 ± 0.87	1.15 ± 0.05	−1.77 ± 0.15	−1.26 ± 0.04	−1.10 ± 0.24	−1.12 ± 0.04

* Exposure to X-rays or ⁴⁸Ti-ions (1000 MeV/n, LET 108 keV/µm). ** The table shows all genes from the NF-κB signaling array, that are more than threefold up- or down-regulated (in bold) in irradiated cells compared to mock-irradiated cells. The mean of the fold up- or downregulation was calculated from up to two independent experiments with untreated cells. Prior to investigating gene expression with RT2 Profiler^TM PCR arrays, a proper RNA and cDNA quality was confirmed. ACTB, B2M, GAPDH, HPRT1 and RPLP0 were used as reference genes to normalize the results.

The expression of chemokines and cytokines was upregulated by low- and high-LET radiation at higher doses. Exposure to 0.5 Gy X-rays or Ti ions did not significantly up-regulate the expression of the investigated NF-κB target genes. The chemokine and cytokine expression was in general higher after exposure to 4 Gy Ti ions compared to 4 Gy X-rays. The highest expression levels were reached for CXCL10 and TNF.

Adhesion molecules such as VCAM-1 and a costimulatory factor (CD83) were also induced. Components of the NF-κB pathway such as NFKB2 and the inhibitor NFKBIA were upregulated by the two radiation qualities.

RelA knock-down inhibited the ionizing radiation-induced NF-κB target gene expression except for TNFRSF1B.

2.7. Secretion of TNF-α and IL-8 after X-Irradiation

The secretion of the cytokines GM-CSF, IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12(p70) and TNF-α was determined using a multiplex ELISA. Only IL-8 and TNF-α reached values above the quantification limit of the assay.

Incubation with TNF-α resulted in strong secretion of IL-8 by HEK-pNF-κB-d2EGFP/Neo L2 cells within 12 h, and the IL-8 concentration in the cell culture supernatants further increased within the next 36 h (Figure 8A). High doses of X-rays (8 and 16 Gy) are required to induce significant IL-8 secretion 12 h after irradiation, and this secretion is further enhanced at later time points (24 h and 48 h). In HEK shRNA RelA cells, the level of IL-8 secretion in mock-irradiated cells (0 Gy) is lower compared to HEK-pNF-κB-d2EGFP/Neo L2 cells, and only the highest X-ray dose (16 Gy) and incubation with TNF-α provoke a very slight time-dependent increase in IL-8 secretion (Figure 8B).

Figure 8.

Kinetics of IL-8 and TNF-α secretion of HEK-pNF-κB-d2EGFP/Neo L2 (A,C) and HEK shRNA RelA cells (B,D) after X-irradiation. The supernatants were collected at the indicated time points. The TNF-α and IL-8 content of the supernatants was determined by means of a multiplex ELISA. Mean and standard error of three independent experiments with duplicate cytokine determination are shown.

TNF-α secretion increased 12 h after exposure of HEK-pNF-κB-d2EGFP/Neo L2 cells to 16 Gy X-rays and remained elevated during the investigated time period without further significant increase (Figure 8C). The total amount was much lower compared to IL-8. For HEK shRNA RelA cells, TNF-α secretion remained within background levels for all applied doses and incubation periods (Figure 8D). TNF-α secretion induced by incubation with TNF-α is not shown, as the added TNF-α was present in the supernatants and disguised the TNF-α secretion of the cells.

3. Discussion

In this study, we show that knock-down of the NF-κB subunit RelA results in sensitization of HEK cells towards low-LET X-rays, but not towards heavy ions in a LET range of 10 to 272 keV/µm. It was previously demonstrated that heavy ions in the LET range of 91 to 272 keV/µm strongly activate NF-κB [20]. The NF-κB activation by low- and high-LET ionizing radiation was shown to be ATM dependent. Furthermore, IκB-degradation by the proteasome is essential for ionizing radiation-induced NF-κB-activation.

RelA knock-down also influenced cell proliferation, resulting in a prolonged lag phase, but it did not impact the proliferation rate once the exponential growth phase was reached. Without NF-κB-activation by TNF-α or ionizing radiation, the reduced RelA levels in the knock-down cells changed the expression of only a few NF-κB target genes (CCND1, CXCL8, JUN, TNF). After incubation with TNF-α or irradiation, the upregulation of CXCL1, 2, 8 and 10, NFKBIA and TNF was strongly reduced in RelA knock-down cells.

3.1. Activation of the NF-κB Pathway by Different Radiation Qualities

Our first study examining the effects of heavy ions on the NF-κB pathway revealed that high-LET argon ions (272 keV/µm) activated the sequence of all events in the NF-κB pathway from DNA binding via transcription to protein translation and maturation [18]. The study of the LET dependence of this cellular response to heavy ion exposure disclosed that indeed the maximal potency to activate NF-κB dependent d2EGFP gene expression in HEK cells occurs at 272 keV/µm (argon ions) have [20]. In accordance with the results presented here, other authors using a DNA binding assay report nuclear translocation NF-κB after exposure of normal human monocytes (MM6 cells) after exposure to 0.7 Gy of ⁵⁶Fe ions [29]. Activation of NF-κB was mediated through phosphorylation of IκBα via subsequent proteasomal degradation. The study on iron ion effects on monocytes revealed only binding of NF-κB to its consensus sequence of 5′-GGGGACTTTCC-3′, transcriptional activation itself was not shown.

Also in vivo, NF-κB activation was observed in the heart and bone marrow of mice one week, one month and six months after exposure to 300 MeV/n ²⁸Si ions (LET 77 keV/µm) [30]. This clearly indicates that high-LET ion exposure induces rapid and persistent NF-κB activation in vitro and in vivo.

3.2. NF-κB Activation by Ionizing Radiation Is ATM Dependent

KU-55933 is specific for ATM with respect to inhibition of other related kinases such as DNA-dependent protein kinase (DNA-PK) or phosphatidylinositol 3′-kinase (PI3K) which required a ~200 times higher concentration for their inhibition [31]. Results showed that while it was not possible to suppress TNF-α-induced NF-κB activation, KU-55933 suppressed ionizing radiation-induced NF-κB activity completely. Increasing doses of X-rays and ³⁶Ar ions were used to induce NF-κB, showing its dose and LET dependency, as the percentage of d2EGFP⁽⁺⁾ cells increased with increasing doses and ³⁶Ar ions had a higher impact on d2EGFP-dependent NF-κB expression than X-rays.

These results support the assumption that ionizing radiation, including high-LET heavy ions, activates the genotoxic stress induced NF-κB pathway and proves that NF-κB activation induced by ionizing radiation is strictly ATM dependent. ATM foci form quickly in the nuclei of human cells after exposure to carbon or iron ions and are believed to facilitate or initiate DNA double strand break (DSB) repair by Non-Homologous Endjoining (NHEJ) and Homologous Recombination (HR) [32,33]. ATM was shown to be activated in human cells to a higher extent by carbon ions (LET 290 keV/µm) than by low-LET γ-rays [34]. This stronger ATM phosphorylation after heavy ion exposure might be important for the strong NF-κB activation that was observed in the LET range of 90–300 keV/µm.

In contrast, TNF-α induced NF-κB activation was not impaired by KU-55933, as ATM is not involved in the classical pathway, which is activated by TNF-α.

3.3. IκB Degradation by the Proteasome Is Essential for TNF-α and Ionizing Radiation-Induced NF-κB Activity

Within non-cytotoxic concentrations (viability above 80%), MG-132 suppressed TNF-α- and ionizing radiation-induced NF-κB activity, showing that IκB degradation by the proteasome is an essential step in both, the genotoxic stress and the TNF-α-induced pathway. However, it has to be considered, that disturbing proteasome functions with MG-132 leads to the loss of regulation of essential functions within the cell and these chemical inhibitors are not NF-κB specific.

3.4. Role of RelA in Cell Proliferation

Downregulation of RelA prolonged the lag phase. Furthermore, cells required a longer recovery period after freezing and thawing, indicating a role of RelA in cell proliferation. This is supported by the observation that transfection of NF-κB/RelA antisense oligodeoxynucleotide reduces the proliferation of SGC-7901 gastric cancer cells [35] and that siRNA-mediated RelA knock-down decreased the proliferation ability of human esophageal squamous cell cancer (ESCC) EC9706 cells [36]. In tumor cells, the inhibiting effect of RelA knock-down seems to be much more pronounced compared to HEK cells. This might be explained by a constitutive NF-κB activation in many tumors, e.g., some gliomas [37] and hepatomas [38], which is then suppressed. In breast cancer cells, transfection of RelA shRNA reduced proliferation [39].

The reduced expression of cyclin D1 (−3.0) is a possible explanation for the effects of RelA knock-down on proliferation, as RelA and JunD were shown to cooperate to activate the proximal κB site of the cyclin D1 promoter in presence of serum [40]. Cyclin D1 regulates the cyclin-dependent kinases CDK4 or CDK6, the activity of which is required for cell cycle G1/S transition. This connection of NF-κB, cyclin D1 and proliferation was also found in neural stem or progenitor cells (NSCs, NPCs) [41] and fibroblasts [42]. Upregulation of the activated protein 1 (AP-1) family member Jun (5.0) in HEK shRNA RelA cells might be a regulatory mechanism to compensate for the RelA loss, as c-Jun affects cell proliferation, migration and invasion and, like NF-κB, actively participates in tumorigenesis [43].

3.5. Role of RelA in Clonogenic Survival after Exposure to Different Radiation Qualities

As activation of the NF-κB pathway is supposed to play a role in the negative regulation of apoptosis, survival of cells with residual DNA damage might thus be favored after irradiation. Even if this happens only in rare cases after ionizing radiation exposure, it might result in initiation or promotion of cancer from such wise affected cells. Cellular responses which may be related to better survival of exposed cells would contribute considerably to astronauts’ radiation risk, especially at low doses when transient induction of genes involved in maintaining DNA fidelity and in modulating cell cycle progression and cell death would occur [44]. As heavy ion exposure strongly activated NF-κB, we examined whether NF-κB gives HEK cells a survival advantage after heavy ion exposure. For this purpose, expression of the NF-κB subunit RelA was downregulated by stable transfection of RelA shRNA.

The colony forming ability test showed that HEK cells were more sensitive to X-irradiation when RelA was downregulated. Such sensitization to X-rays was also observed with chemical NF-κB inhibitors, e.g., the sesquiterpene lactone parthenolide, an IκB kinase (IKK) inhibitor, inhibited constitutive and radiation-induced NF-κB binding activity in p53 null PC-3 cells and enhanced their X-ray sensitivity by a dose modification factor of 1.7 [45]. RelA knock-out murine embryonic fibroblasts (MEF p65^−/−) were 1.3-fold more sensitive towards X-rays than the p65^+/+ cells [46]. In many cancer cell types, NF-κB inhibition sensitized the cells to ionizing radiation [47,48,49,50].

In these MEF p65^−/− cells, the killing effect of UVB radiation was lower compared to MEF wildtype cells (p65^+/+) [51]. Therefore, in contrast to ionizing radiation, loss of RelA conferred a strong resistance to UVB-induced cell death which was accompanied by reduced Gadd45 gene expression [51].

In contrast to the sensitization to X-rays by RelA knock-down, the sensitivity to heavy ion exposure was equal or only slightly different for cells with and without RelA over a wide range of LET (10–271 keV/µm). This indicates that RelA and heavy ion induced NF-κB activation does not procure a survival advantage for the exposed cells. This might be explained by other pro-death signals of the heavy ion exposure. Interestingly, in human hematopoietic stem and progenitor cells (HSPC) and peripheral blood lymphocytes (PBL), inhibition of NF-κB activation by expression of a super-repressor variant of IκBα (IκBα-SR) altered DNA double-strand-break repair [52]. IκBα-SR expression reduced homologous DSB repair in PBL by 33% [52]. NHEJ of DNA DSBs was compromised in HSPC and PBL (reduction to 37% and 52%, respectively) [52]. These measurements were performed on enzymatically induced DNA DSBs, results for low- or even high-LET radiation-induced DSBs are not yet available. Nevertheless, reduced DNA DSB repair in case of NF-κB repression or down-regulation might play a role for survival after ionizing radiation exposure. Delayed or incomplete repair might override other NF-κB induced survival signals. Another explanation for the missing effect of RelA knockdown might be the high-LET which is in the range of the highest observed biological efficiency. The cell killing effect in the LET range of 100–200 keV/µm is already very high, so that disturbed cellular signaling pathways might not be able to further increase cell killing. This was observed for the pro-apoptotic p53 in some cell systems: apoptosis was independent of the p53 status [53,54].

Comparing ionizing radiation and chemotherapeutics such as the topoisomerase II inhibitor doxorubicin, knock-down of RelA by siRNA increased the killing effect of doxorubicin in HepG2 cells [38]. The authors of this publication explain the increased killing of hepatoma cells by lower NF-κB-mediated expression of multi-drug resistance (MDR1) gene [38]. A mechanism based on MDR1 is not likely to influence survival after ionizing radiation. In nude mice bearing HeLa cervical cancer xenografts, downregulation of p65 via photothermal transfection of p65 siRNA increased irinotecan-induced tumor apoptosis [55].

Furthermore, the NF-κB target gene expression profile might be different for low- and high-LET radiation exposure and might give an explanation for the different role in the cellular radiation response. Therefore, the expression of 88 target genes was determined after X-ray and heavy ion exposure. Genes that are regulated more than threefold and at the same time are controlled by RelA are discussed below.

3.6. Role of RelA in the Expression of NF-κB Target Genes after Exposure to Different Radiation Qualities

NF-κB target genes that are induced after irradiation affect intercellular communication and many of them are proinflammatory. e.g., TNF-α activates inflammation by inducing a proinflammatory cytokine cascade, mediated through expression of IL8 [56]. Incubation with TNF-α induces the expression of a larger subset of genes than low- or high-LET irradiation at a dose of 4 Gy (Figure 9A). TNF, CXCL1 and −10 are upregulated by TNF-α, 4 Gy X-rays and 4 Gy Ti ions. A higher X-ray dose (8 Gy) increased the overlap in the subset of induced NF-κB target genes (Figure 9B). The gene subsets show overlap with those determined in osteosarcoma cells [57].

Figure 9.

Diagram showing the expression of NF-κB target genes by HEK cells 6 h after exposure to 10 ng/mL TNF-α, 4 Gy X-rays or 4 Gy Ti ions (A) and after exposure to 10 ng/mL TNF-α or 8 Gy X-rays (B) VCAM-1 is in parentheses as its expression is just below the threshold of threefold induction.

The overlapping gene expression in HEK-pNF-κB- d2EGFP/Neo L2 cells after TNF-α and radiation treatment was not observed in RelA knock-down cells, confirming the role of the NF-κB subunit RelA in the expression of these genes.

After TNF-α treatment HEK-pNF-κB-d2EGFP/Neo L2 cells but not in HEK shRNA RelA cells showed a clear upregulation of C-X-C motif (CXC, C stands for cysteine, X for any other amino acid) chemokine genes, including CXCL1, CXCL10, CXCL2 (MIP-2) and CXCL8 (IL8). The CXC chemokines belong to one group of small cytokines, which, when they are are secreted by infected cells act as chemoattractants inducing chemotaxis or migration especially of neutrophils, which are the first responders during inflammation to migrate towards site of inflammation. Additionally, in wound healing the increased chemokine concentration of damaged cells results in attracting cells to site of damage. Loss of chemokine induction is a serious impairment for the organism as it leads to dysfunctional cell migration and wound healing deficiency. The essential role of TNF in the early induction of chemokines and subsequent recruitment of leukocytes have been shown using models of mycobacterial infection [58] as induction of chemokines and cellular recruitment were delayed in TNF^−/− cells. Animal studies show that CXCL2 was upregulated in murine tumors after exposure to carbon ions (290 MeV/n, LET 50 keV/µm) [59].

As expected, TNF-α treatment induced high upregulation (60.0) of TNF, as TNF-α, after being released as a response to immunological stimuli, acts as a positive autocrine feedback signal to augment NF-κB activation [60]. In the knock-down cell line, no upregulation of TNF was observed, as NF-κB is a key transcription factor involved in the synthesis of TNF-α [61].

Upregulation of NFKBIA (encoding IκBα) in the original cell line was expected as well, as in addition to increasing the transcription of cytokines and adhesion proteins, NF-κB also increases the transcription of the inhibitor IκB, thus leading to its own inactivation and subsequent termination of the response [62]. Other studies showed that NFKBIA was also upregulated in six human malignant melanoma cell lines after carbon ion exposure (290 MeV/n, LET 50 keV/µm) [63].

Only three of the genes upregulated in HEK-pNF-κB-d2EGFP/Neo L2 cells were induced by TNF-α in the knock-down cell line: CCL5, TNF and TNFRSF1B. For the latter two genes, the induction factor was much lower compared to the RelA proficient cell line. Instead, downregulation of one NF-κB target gene was observed, EXO1. Exonuclease 1 (EXO1) is involved in DNA damage signaling [64].

The target gene array, investigating 88 genes after X- and ⁴⁸Ti ion irradiation, showed that NF-κB-dependent gene expression does not only depend on dose, but also on LET, complementing our recently published study [26] and studies with Caenorhabitidis elegans [65]. The extent of gene expression increases with increasing doses. Further, the degree of regulation is stronger after 4 Gy of ⁴⁸Ti ion exposure than after X-irradiation of the same dose.

In HEK-pNF-κB-d2EGFP/Neo L2 cells, the set of genes, that has already been shown to be upregulated after TNF-α treatment, was likewise upregulated after exposure to X-rays and heavy ions. It includes CXC chemokines, TNF and NFKBIA which encodes the NF-κB inhibitor IκBα. This shows that expression of these genes is activated not only by the classical NF-κB pathway, but also the genotoxic stress induced, independent of the radiation quality.

In this work, both low- and high-LET radiation exposure resulted in upregulation of TNF, and with higher LET, the upregulation was stronger. Interestingly, in the tibial marrow of Fe ion (600 MeV/n, LET 174 keV/µm) irradiated mice, no significant increase in TNF expression was found three days after exposure to 2 Gy, and only a slight increase after 2 Gy γ-irradiation which remained elevated through day three after irradiation [66].

Especially the CXC chemokines are strongly upregulated, in case of CXCL10 up to 14.6 fold after irradiation with 8 Gy X-rays. None of the genes that are upregulated at higher doses in the original cell line exceeds the threshold of 3 after irradiation with 0.5 Gy of both, X-rays and ⁴⁸Ti ions. Though, after 4 Gy of X-rays, CXC chemokines reach expression values of 2.3 to 4.7 fold. For the same dose, these genes are expressed up to 7.6 fold after ⁴⁸Ti ion irradiation.

CCL5 has chemotactic activity for monocytes and basophils and binds to chemokine receptors CCR2 and CCR4. It was upregulated by high doses of X-rays. Such an upregulation was also observed in vivo in the bone marrow of C57BL/6J mice exposed to 2 Gy γ-rays and is suggested to promote ostoclastogenesis [66].

Apart from the genes expressed after both, TNF-α treatment and irradiation, additional genes are upregulated only upon X-irradiation, not after heavy ion exposure, proving the relation between radiation quality or LET and gene expression. These genes include CCL5, NFKB2, and VCAM1.

NFKB2 codes for the NF-κB subunit p100, which is involved in the non-canonical NF-κB pathway. It is processed to p52. This element of the non-canonical pathway seems to be upregulated only by X-rays and not by heavy ions. The RelB:p52 dimer was shown to confer radio-resistance to prostate cancer cells by upregulating the expression of the antioxidant enzyme manganese superoxide dismutase (MnSOD) [67,68,69,70]. An upregulation of RelB expression 8 h after X-ray exposure (0.1, 1 Gy) was also observed in a three-dimensional skin tissue model [71].

The different gene expression profile after ⁴⁸Ti ion irradiation indicates distinct responses, depending on radiation quality, eventually including different repair mechanisms, as indicated in the survival curves in this work. These genes are expressed after X-irradiation, but not after ⁴⁸Ti ion exposure. The missing expression of the protecting RelB gene after heavy ion exposure might be another explanation why RelA knock-down results in higher X-ray sensitivity, but not in higher heavy ion exposure sensitivity: Its protecting effect ceases to exist in HEK shRNA RelA cells after X-irradiation, but it is not induced after heavy exposure even in case of normal RelA levels.

CD83 expression was activated by 4 Gy Ti ions, TNF-α and 8 Gy X-rays. It is one of the central regulatory molecules in immune functions with anti-tumor effects [72]. It acts as a co-stimulator during activation of T-cells by antigen-presenting cells and is therefore essential for the induction of the adaptive immune response. NF-κB regulates inducible CD83 gene expression in activated T lymphocytes during an adaptive immune response [73]. Increased expression of this costimulatory molecule indicates that exposure to ionizing radiation does not only induce inflammation as a prominent innate immune response via proinflammatory cytokines such as TNF-α and via chemokines, but also induces selected steps towards activation of adaptive immunity.

In absence of RelA, only TNFRSF1B is upregulated after X-ray exposure. TNFRSF1B encodes for the TNF receptor TNF-R2. It was shown that TNFRSF1B receptor signaling resulted in the activation of anti-apoptotic survival proteins [74]. At the same time, TNFRSF1B promotes TNF-α induced apoptosis [75]. Baseline plasma TNFRSF1B, a marker of inflammation and a soluble TNF antagonist, was significantly associated with an increased risk of human colorectal cancer [76]. TNF-α bound to TNFRSF1B recruits intracellular adaptor proteins to activate multiple signal transduction pathways including NF-κB [77]. The activation of NF-κB in intestinal epithelial cells by TNF-α through TNFRSF1B receptor signaling has been previously linked to carcinogenesis. Silencing TNFRSF1B increased apoptosis [74]. However, NF-κB interferes with apoptotic signals at various levels. The best example is found in the TNF-R1 pathway [78]. It is therefore not certain whether increased apoptosis results from pro-apoptotic TNFRSF1A signaling. An upregulation of TNFRSF1B expression 8 h after X-ray exposure (0.1, 1 Gy) was also observed in a three-dimensional skin tissue model [71].

Overall, results revealed the outstanding role of NF-κB and its subunit RelA in cytokine expression after exposure to low- and high-LET radiation and therefore in the “sterile inflammation” after radiation exposure [57]. In contrast to other studies with cancer cells, no radiation-induced upregulation of antiapoptotic genes above the threefold threshold was found. BIRC3 encoding cIAP2 was upregulated 2.0 and 2.5 times after exposure to 4 and 8 Gy X-rays, respectively. In differentiated thyroid cancer (DTC) cells, incubation with (131)I-induced NF-κB activation, and knock-down of p65 by siRNA transfection increased (131)I-induced cell killing [79]. This effect was explained by lower expression of the antiapoptotic NF-κB target genes XIAP, cIAP1, and Bcl-xL when p65 expression was downregulated by siRNA [79].

3.7. Role of RelA in IL-8 and TNF-α Production for Survival after Exposure to Different Radiation Qualities

IL8 (Interleukin 8, CXCL8) was severely downregulated (−8.1) in HEK shRNA RelA cells. In presence of RelA, IL-8 secretion was strongly induced by TNF-α and high X-ray doses. This cytokine is part of the CXC chemokine family and acts as proinflammatory mediator, further activating proinflammatory cytokines in a positive feedback loop. It attracts and activates neutrophils [80], causing them to migrate towards the site of infection. It was shown for several cell types, that the NF-κB binding site is essential for transcription of IL-8 [81,82]. Interleukin 8 secretion was also increased in response to oxidative stress, mediated by TNF-α, which further induces RelA-binding to the binding site of the IL-8 promoter [56]. In HTori-3 cells, a human thyroid epithelial cell line, exposed to either a non-toxic radiation dose (0.1 Gy) or a slightly toxic dose (0.2 Gy) from iron ions (1 GeV/n), IL-8 expression was altered [83]. In organotypic cultures of oral mucosa irradiated with X-rays or carbon ions, both radiation qualities increased the release of IL-8, with a saturation at 4 Gy for early time points, and higher early increases (4 h) after carbon ion exposure in the spread-out Bragg peak (SOBP, track-averaged LET ~50 keV/µm) [84,85]. The IL-8 release remained increased for two days after carbon ion exposure (2, 4, 10 Gy) [84].

TNF-α secretion was increased after higher doses of X-rays (16 Gy), while its mRNA level was enhanced already at a dose of 4 Gy.

3.8. Implications for Countermeasure Development

Although caution should be taken to directly translate in vitro data to a clinical setting and the doses used here are quite high, the study suggests that due to NF-κB activation by heavy ion exposure astronauts would be prone to “sterile inflammation” in relevant target organs. Indeed, Parihar et al. found increased numbers of activated microglia in the perirhinal cortex of rodents exposed to low doses of helium and other space-relevant accelerated ions, indicating neuroinflammation [86,87].

For ensuring astronauts’ health, countermeasures have to be developed which could rely not necessarily on therapeutically applied drugs but on natural inhibitors of the proteasome or other regulating factors in the NF-κB pathway as dietary supplements. The proteasome inhibitor MG132 which was used in this study is not such a candidate as it inhibits multiple proteases in addition to the proteasome. Furthermore, at least in tumor cells, treatment with MG-132 prior to irradiation lead to radiosensitization [88], which is an effect exploited for tumor therapy with the proteasome inhibitor bortezomib [89].

Possible candidates for protection against chronic inflammation could be members of the triterpenoid family, which inhibit the NF-κB pathway at various sites [90,91]. Additionally, in our earlier studies, capsaicin, an active component of the red pepper (Capsicum), partially inhibited NF-κB activation in HEK cells in a non-toxic concentration range [92]. However, NF-κB is a central element of various physiological functions and its inhibition might be associated with various side effects. Therefore, evaluation of its target genes that are upregulated by radiation exposure might lead to more specific toeholds to mitigate radiation-induced inflammation.

For high-dose exposure that could occur during a large solar particle event, activation of the NF-κB pathway might increase the survival of, e.g., bone marrow stem cells and intestinal epithelial cells and thereby ameliorate the acute radiation syndrome. For this purpose, Toll-like receptor 5 (TLR5) agonists were developed based on bacterial flagellin and successfully tested in animal models [93].

3.9. Conclusions

RelA is essential for cytokine and chemokine expression after exposure to both, low- and high-LET radiation and it thereby shapes the sterile inflammatory response, which comprises a smaller NF-κB target gene subset compared to TNF-α treatment. ATM and the proteasome are essential for NF-κB activation by different radiation qualities. NF-κB confers a survival advantage after X-ray, but not after heavy ion exposure.

4. Materials and Methods

4.1. Transformation and Preparation of Plasmid DNA

For plasmid propagation, 100 μL of competent E. coli DH5α-cells (Stratagene; Agilent Technologies, Karlsbrunn, Germany) were transformed with 2 μL of each SureSilencing™ shRNA Plasmid (~30–50 ng/μL) according to the manufacturer’s protocol. The transformed bacteria were plated on selective LB-agar plates containing ampicillin (Biochrom GmbH, Berlin, Germany) with a final concentration of 50 μg/mL for selection and incubated at 37 °C over night. For plasmid preparation, single colonies were cultured for 16 h in 100 mL of LB-medium containing ampicillin under permanent shaking. For preparation of plasmid DNA the Plasmid Maxi Kit (Qiagen, Hilden, Germany) was used following the instructions of the manufacturer. For quality control, the optical density at 260 nm and 280 nm was determined in a spectrophotometer (Nanodrop 2000c, Thermo Scientific, Langenselbold, Germany). Only preparations with an OD260/OD280 of more than 1.8 were used for the transfection of human cells.

4.2. Cell Culture

The cell line HEK 293 was established by Graham et al. (1977) from human embryonic kidney cells immortalized by transfection with sheared fragments of adenovirus type 5 DNA [94]. The cells contain only the stably integrated region (E1a and E1b genes) of the human adenovirus genome and do not produce viral particles. Cells were obtained from the American Type Culture Collection (ATCC CRL-1573; now: LGC Standards, Wesel, Germany). Cloning of the plasmid pNF-κB-d2EGFP/Neo, stable transfection and selection of an appropriate cell clone (HEK-pNF-κB-d2EGFP/Neo L2) was already described [27]. HEK-pNF-κB-d2EGFP/Neo L2 and untransfected HEK cells have comparable radiosensitivity to X-rays and to accelerated carbon ions and show no difference in proliferation [19]. Cells were maintained in α-medium (Biochrom KG, Berlin, Germany) containing 0.6 mg/mL G418 and 10% fetal bovine serum (FBS) at standard conditions (37 °C, 95% air and 5% CO₂ atmosphere). Cells were passaged every week and seeded in a cell density of 3 × 10⁴ cells/cm² in 80 cm² cell culture flasks (Nunc, Novodirect, Kehl, Germany). Medium was exchanged after four days. Cell culture vessels were coated with poly-d-lysine (10 µg/cm², Sigma-Aldrich Chemie, Steinheim, Germany, in sterile deionized water) to allow a stronger binding of cells to the substrate. Therefore, the culture vessels were coated with poly-d-lysine for 15 min at room temperature and subsequently washed three times with sterile deionized water.

4.3. Stable Transfection

For knock-down of the NF-κB subunit RelA, HEK-pNF-κB-d2EGFP/Neo L2 were stably transfected with the SureSilencing™ shRNA plasmids RELA-1 to 4 and the control plasmid from SABiosciences (Frederick, MD, USA). Four of these plasmids encoded different targeting sequences of RelA mRNA, while the fifths plasmid was a negative control vector containing a scrambled artificial sequence which did not match any human, mouse or rat gene. HEK-pNF-κB-d2EGFP/Neo L2 cells were seeded in poly-d-lysine-coated 6-well-plates (Nunc). Transfection was conducted at a cell density of ~50%. Therefore, 2 μg of DNA of each vector were mixed with the transfection reagent FuGENE 6^® (Roche, Mannheim, Germany) and serum-free α-medium according to the protocol. After three days of incubation, cells were transferred into ∅ 6 cm culture dishes (Nunc) containing α-medium with 400 μg/mL hygromycin (US Biological, Salem, MA, USA). After approximately 10 days, cells were seeded for RNA isolation (Section 4.9.1) to measure the knock-down level of RelA in the mixed population by real-time quantitative Reverse Transcriptase Polymerase Chain Reaction (RT-qPCR). The strongest knock-down of RelA expression was achieved with the plasmids RELA-1 and RELA-4 (Figure 4A). Therefore, clones grown from single cells of these two cell populations were grown by seeding 50 cells per microtiter plate containing hygromycin-medium. Cells were incubated for 2–3 weeks until colonies were grown. A single colony was washed with PBS, trypsinized and added to a 25 cm² cell culture flask (Nunc) containing 5 mL of hygromycin-medium. When cells had reached a density of 80–100%, their knock-down level was determined by seeding them in triplicates and proceeding according to 4.10. In clone 4–9, RelA mRNA expression was reduced by 83.1% and it was used for further experiments. The selected clone was named HEK shRNA RelA and is characterized by a RelA knock-down level of 83.1% and a resistance against hygromycin.

4.4. Growth Kinetics

To characterize differences in growth behavior between HEK-pNF-κB-d2EGFP/Neo L2 and HEK shRNA RelA, both cell lines were seeded with the same cell number (1 × 10⁴ cells/cm²) in poly-d-lysine-coated 6-well plates. The cell number of one well was determined daily until cells reached the stationary growth phase.

4.5. Treatment Modalities

For cytokine treatment or irradiation experiments, 3 × 10⁴ cells/cm² were seeded into suitable culture vessels freshly coated with poly-d-lysine (10 µg/cm², Sigma-Aldrich Chemie, Steinheim, Germany) for 15 min followed by washing with phosphate buffered saline (PBS). For exposure to TNF-α, X-rays and heavy ions, cells were seeded into 25 cm² flasks (Iwaki, Dunn Labortechnik GmbH, Asbach, Germany for GANIL, Nunc for GSI and HIMAC). Cells were incubated for two days before treatment.

4.5.1. Cytokine Treatment

Human recombinant TNF-α was obtained from Sigma-Aldrich Chemie. TNF-α (final concentration 10 ng/mL), was dissolved in PBS, and added in serum-containing medium. Cells were harvested for flow cytometry as described in 0 after different time points. Control dishes were solvent-treated.

4.5.2. X-Irradiation

X-irradiation was performed at DLR in Cologne using a Gulmay RS225 X-ray source (Xstrahl, Surrey, UK). Cells were irradiated at room temperature with 200 kV and 15 mA at a dose rate of ~1 Gy/min. To eliminate soft X-rays, a copper filter (thickness 0.5 mm) was used. Cells were irradiated in petri dishes (Ø 3 or 6 cm). Doses up to 16 Gy were used, with an LET of 0.3–3 keV/μm. Control dishes were sham-irradiated. Doses were determined using the UNIDOS^webline (PTW, Freiburg, Germany).

4.5.3. Heavy Ion Exposure

Irradiation with accelerated heavy ions was performed at the “Grand Accélérateur National d’Ions Lourds” (GANIL, Caen, France), at the GSI Helmholtzzentrum für Schwerionenforschung GmbH (GSI) in Darmstadt, Germany, or at the Heavy Ion Medical Accelerator in Chiba (HIMAC), Japan. Characteristics of the applied beams including the LET in water are shown in Table 5.

Table 5.

Characteristics of the heavy ion beams.

	Energy (MeV/n) a		LET (keV/µm)	Penetration Depth (µm)	Accelerator
Ion Species	Beam	on Target b	in H2O
Carbon (12C)	400.0	400.0	10.0	272,900	HIMAC
Carbon (13C)	75.0	71.4	34.2	15,120	GANIL
Silicon (28Si)	490.0	490.0	55.0	161,300	HIMAC
Titanium (48Ti)	1000.0	996.9	107.7	319,900	GSI
Nickel (58Ni)	1000.0	996.9	174.5	263,600	GSI
Argon (36Ar)	95.0	83.8	271.5	6336	GANIL

^a Mega-electron-Volt/nucleon. ^b Effective irradiation energy at the cell monolayer. For GANIL beam times energy losses occur in two detectors, the exit window, ~1 cm air and the bottom of the culture vessel (1200 µm polystyrene or 25 µm polytetrafluoroethylene foil). For GSI and HIMAC beams energy losses are marginal (only from bottom of the culture vessel).

Adherent cells were irradiated in sub-confluent stage and in upright position at room temperature. Therefore, flasks and petri dishes were completely filled with α-medium and closed. Dosimetry was performed by the staff at the accelerator facilities. Dose rates were adjusted to approximately 1 Gy/min. At GANIL, dosimetry was performed by the “Centre de recherches sur les Ions, les Matériaux et la Photonique” (CIMAP)/“Laboratoire d’Accueil en Radiobiologie avec les Ions Accélérés” (LARIA) staff, yielding the fluence in particles/cm² (P/cm²) [95]. To convert fluence (F) to the energy dose, the following formula was applied [96]:

Dose[Gy] = 1.6 × 10⁻⁹ × LET[keV/µm] × F[P/cm²] (1)

After irradiation, serum-free α-medium was discarded and cells were further cultivated with fresh medium containing 10% FBS.

4.6. Cytotoxicity of Chemical Inhibitors

Cytotoxicity of chemical inhibitors KU-55933 and MG-132 was measured by the MTT assay. Reduction of MTT (3-(4,5-dimethylthiazole-2-yl)-2,5-diphenyltetrazolium bromide) to formazan is correlated to the activity of cellular enzymes and measured colorimetrically. HEK-pNF-κB-d2EGFP/Neo L2 cells were seeded in 96-well plates and incubated with each inhibitor for 20 and 72 hours. NF-κB was activated by adding TNF-α protected from light. 100% DMSO was added to one well to measure the background signal. After removing medium, cells were incubated for 1 h at 37 °C with serum-free α-medium containing 0.1 mg/mL MTT. Subsequently, cells were lysed with DMSO with 10% (w/v) sodium dodecyl sulfate (SDS) and 0.6% (v/v) acetic acid while shaking them for 20 min with 30 rpm. Finally, absorbance of formazan was measured with the fluorescence/luminescence microplate reader Lambda Fluoro 320 (MWG Biotech AG, Penzberg, Germany) at 562 nm. Cell survival was calculated as a ratio of formazan-absorbance of treated vs. untreated samples after subtraction of the background signal.

4.7. Colony Forming Ability

For investigating cellular survival after exposure to X-rays and heavy ions, cells were seeded and irradiated as already described. Immediately after irradiation adherent cells were trypsinized and re-plated in six petri dishes per dose. The cell density for seeding of irradiated cells was adjusted to compensate for the plating efficiency of the respective cell line and for the anticipated lethal effect of the treatment in order to allow growth of 40–60 colonies per dish.

After 21 days of incubation without medium change the resulting colonies were fixated and stained (1 mg/mL crystal violet in 3% formaldehyde solution, Sigma-Aldrich Chemie) and colonies containing more than 50 cells were counted. The experiments were performed with six dishes per dose and repeated if beam time was available.

All data from the irradiated samples were fitted by least-squares linear regression analysis to lnS = ln(PE_D/PE_D=0) versus dose, where the natural logarithm of S is the survival and PE are the plating efficiencies of treated (PE_D) or untreated cells (PE_D=0). Differences in the survival curves were statistically verified by a two-sided Student’s t-test of the regression lines. A p level of 0.05 was considered to reflect significance.

4.8. Flow Cytometry

For measurement of d2EGFP, cells were harvested at different time points after radiation or cytokine treatment by trypsinization and fixed with 4.5 mL cold 3.5% formaldehyde in PBS. For flow cytometric analysis, cells were centrifuged and resuspended in PBS. Forward and side scatter and green fluorescence (FL-1) of 20,000 cells from the samples were measured in a FACScan (Becton Dickinson, San Jose, CA, USA) with an argon laser (488 nm) as excitation source. The markers d2EGFP⁽⁻⁾ and d2EGFP⁽⁺⁾ were set by means of untreated and TNF-α treated cells. The percentage of d2EGFP⁽⁺⁾ cells was used as measure of NF-κB-dependent d2EGFP expression.

4.9. Gene Expression Analysis

4.9.1. RNA Isolation

Each sample was seeded in triplicates. At a density of ~50% cells were lysed with RLT buffer containing 1% 14.3 mol/L β-mercaptoethanol and transferred into an RNase-free Eppendorf tube with an iced syringe. RNA was isolated using the RNeasy^® Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocol. As RNA was used for cDNA synthesis and subsequent RT-qPCR, the additional DNase treatment step was included to eliminate residual genomic DNA. RNA was eluted in 50 μL RNase-free H₂O.

RNA concentration and purity were measured photometric (A260/280) with the NanoDrop 2000c Spectrometer (Thermo Scientific, Waltham, MA, USA). Additionally, RNA concentration, RNA integrity (RNA Integrity Number; RIN) and rRNA ratio (28S/18S) were measured by micro-electrophoresis using the RNA 6000 Nano Assay in the Agilent 2100 Bioanalyser (Agilent Technologies, Santa Clara, CA, USA).

For gene expression analysis with the RT2 Profiler™ PCR Arrays (SABiosciences, Washington, DC, USA), further RNA quality control with RT2 RNA QC PCR array (SABiosciences) was performed.

4.9.2. cDNA Synthesis

Quality, integrity and quantity of isolated RNA were analyzed. Subsequently, RNA was transcribed into cDNA using the RT2 First Strand Kit (SABiosciences). A preliminary genomic DNA elimination step was conducted by incubation of 1 µg total RNA with gDNA Elimination Buffer, as recommended in the protocol. To detect possible remaining genomic DNA contamination in isolated RNA samples, one sample lacking reverse transcriptase was used as a negative control. The reaction mix (4 μL BC 3 (5X RT Buffer), 2 μL PC2 (Primer and External Control Mix 3), 2 μL RE3 (RT Enzyme Mix 3), 3 μL ddH₂O) was incubated at 42 °C for 5 min. The RT reaction mix was then added to the Genomic DNA Elimination Mixture and incubated at 42 °C for 15 min. The reaction was stopped by heating at 95 °C for 5 min. cDNA concentration at this stage was 50 ng/μL. Finally, 91 μL of H₂O were added to each 20 μL cDNA synthesis reaction to obtain a final cDNA concentration of 9 ng/μL. cDNA samples were stored at −20 °C.

4.9.3. Setting Up RT-qPCR Validation of Knock-Down-Level

The quantitative real-time PCR reaction mix for one PCR tube was composed referring to the RT2 qPCR Primer Assays protocol (SABiosciences) as follows: 12.5 μL RT2 SYBR Green qPCR Master Mix, 8.5 μL ddH₂O, 3 μL Template cDNA (27 ng) and 1 μL 10 μmol/L PCR primer pair stock.

As a negative control DNA was replaced by H₂O. The primer pairs SYBR^® Green Human RELA and SYBR^® Green Human HPRT 1 (RT2 qPCR Primer Assay, SABiosciences) were used for targeting the gene of interest (GOI) RelA and the housekeeping gene (HKG) HPRT (Table 6).

Table 6.

RT-qPCR primer pairs * as described in the RT2 qPCR Primer Assay (SABiosciences).

Gene Symbol	REF SEQ ACC. #	Amplicon Size	Melting Temperature
RELA	NM_021975.3	65 bp	80.0 °C
HPRT1	NM_000194.2	89 bp	76.5 °C

* All genes listed are human genes. HPRT, Hypoxanthine phosphoribosyltransferase 1; RELA, V-rel reticuloendotheliosis viral oncogene homolog A (avian).

4.9.4. Human RT2 Profiler PCR Array

RT2 Profiler™ PCR Arrays (SABiosciences) were used to profile the expression of 88 genes per sample. Two different arrays were available, with one being customized (PAHS-021), individually composed of genes of interest of several signaling pathways (Human Cell Cycle, PAHS-020A; Human NF-κB Signaling Pathway, PAHS-025A; Human p53 Signaling Pathway, PAHS-027A; Human Apoptosis, PAHS-012A; Human PI3K-AKT Signaling Pathway, PAHS-058A; Human Stress and Toxicity Pathway Finder, PAHS-003A; Human DNA Damage Signaling Pathway, PAHS-029A; Human Oxidative Stress and Antioxidant Defense, PAHS-065A) for an initial screening (Table A2) and one array focusing on genes targeted by NF-κB (human NF-κB target gene array, PAHS-225ZD, Table A1). An overview of all genes included in these arrays is listed in Appendix Tables A1 and A2. Overall, 162 genes, involved in cell cycle control, apoptosis, DNA damage, stress and toxicity and NF-κB signaling were investigated. Each well of these arrays contains primers for the respective gene.

Only cDNA samples, which had been approved by the RT2 RNA QC PCR Array (SA Biosciences) to prevent false positive signals by genomic DNA contamination, were used for further analysis. The RT-qPCR master mix for one 96-well plate was set up according to the RT2 RNA QC PCR Array protocol using 1350 μL RT2 SYBR Green qPCR Master Mix, 1248 μL ddH₂O and 102 μL template cDNA (9 ng/μL).

Quantitative real-time analysis was performed in the Opticon2 thermocycler starting with an initial denaturation for 10 min at 95 °C, following by 40 cycles (denaturation for 15 s at 95 °C, annealing for 35 s at 55 °C, elongation for 30 s at 72 °C, plate read), a final incubation for 1 min at 95 °C and 2 min at 65 °C, and a melting curve from 65–95 °C with reads every 0.2 °C. The threshold cycle (Ct) was determined in the amplification plots. Results were analyzed according to the algorithm described in the RT2 RNA QC PCR Array protocol. It is based on the ∆∆Ct method:

∆Ct = Ct (target gene) − Ct (reference gene) (2)

∆∆Ct = ∆Ct (sample) − ∆Ct (control) (3)

The relative expression of treated sample versus control was calculated by means of Equation (4):

Rate of gene expression = 2^−∆∆Ct (4)

In a cautious data interpretation, the threshold for significant up- or downregulation was set to −3 or +3, respectively, to avoid misinterpretation of physiological fluctuation of mRNA levels.

4.10. Measurement of Cytokine Secretion

To measure the cytokine concentration in the cell culture supernatants (100 µL aliquots, frozen and stored at −80 °C after collection and once thawed, centrifuged for 5 min at a relative centrifugal field of 300× g) of HEK-pNF-κB-d2EGFP/Neo L2 and HEK shRNA RelA cells, the LUNARIS^TM Human 11-Plex Cytokine Kit was used (LHCY-20110S, Ayoxxa Biosystems GmbH, Köln, Germany) which is based on beads-on-a-chip technology with a classical sandwich immunoassay principle and a fluorescence readout. The calibration curve was generated according to the kit handbook. Briefly, seven standards were prepared by serial dilution (1:4) of the Human Cytokine Standard using Assay Diluent 2. The standard contained the following analytes: GM-CSF, IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12(p70) and TNF-α. The LUNARIS^TM BioChips were first washed and the 5 µL of standard, blank and samples which were diluted 1:2 in Assay Diluent 2 were loaded into the appropriate wells. After an incubation of at least 3 h at room temperature, the BioChips were washed and 10 µL of detection antibody solition was added and allowed to incubate for 60 min at RT. The BioChips were washed again and then 10 µL of Streptavidin-Phycoerythrin (SA-PE) reagent was added. After 30 min of incubation, the final washing step was performed and the BioChips were air-dried and imaged using the LUNARIS^TM Reader (LRS-001). The quantification of the readout was performed using the LUNARIS^TM Analysis Suite Software.

4.11. Statistics

Each experiment was repeated up to five times depending on the availability of beam time with one to six replicates each. In order to account for different numbers of replicates and repeats, the standard error was calculated. Means, standard errors and significance levels in the t-test were calculated with Microsoft^® Office Excel 2010 (Microsoft Deutschland GmbH, München, Germany). Regression analyses were performed using SigmaPlot 13.0.

Abbreviations

AP-1	activated protein 1
ATCC	American Type Culture Collection
CIMAP	Centre de recherches sur les Ions, les Matériaux et la Photonique
d2EGFP	destabilized EGFP
DDR	DNA damage response
DNA-PK	DNA-dependent protein kinase
DSB	double strand break
EGFP	Enhanced Green Fluorescent Protein
ESCC	esophageal squamous cell cancer
EXO1	exonuclease 1
FBS	fetal bovine serum
GANIL	“Grand Accélérateur National d’Ions Lourds”
GSI	GSI Helmholtzzentrum für Schwerionenforschung GmbH
HEK	human embryonic kidney
HIMAC	Heavy Ion Medical Accelerator in Chiba
HR	Homologous Recombination
HSPC	hematopoietic stem and progenitor cells
IAP	inhibitor of apoptosis protein
IκBα	inhibitor of NF-κB α
IKK	IκB kinase
IκBα-SR	super-repressor variant of IκBα
ISS	International Space Station
k.d.	knock-down
LARIA	“Laboratoire d’Accueil en Radiobiologie avec les Ions Accélérés”
LET	linear energy transfer
MDR1	multi-drug resistance
MeV/n	Mega electron Volt per nucleon
MnSOD	manganese superoxide dismutase
mRNA	messenger RNA
NF-κB	Nuclear factor κB
NHEJ	Non-Homologous Endjoining
NPCs	neural progenitor cells
NRE	NF-κB response element
NSCs	neural stem cells
P	probability
PBL	peripheral blood lymphocytes
PBS	phosphate buffered saline
PI3K	phosphatidyl inositol kinase 3
RBE	relative biologic effectiveness
Rel	Reticuloendotheliosis
RT-qPCR	Reverse Transcriptase real-time quantitative PCR
shRNA RelA	RelA short-hairpin RNA
SD	standard deviation
SE	standard error
TK	thymidine kinase
TLR5	Toll-like receptor 5
TNF-α	tumor necrosis factor α
TP53	tumor protein p53

Appendix A

Table A1.

Gene list of QPCR Array PAHS-225ZD.

UniGene	GeneBank	Symbol	Description	Gene Names
Hs.441047	NM_001124	ADM	Adrenomedullin	AM
Hs.19383	NM_000029	AGT	Angiotensinogen (serpin peptidase inhibitor, clade A, member 8)	ANHU, FLJ92595, FLJ97926, SERPINA8
Hs.525622	NM_005163	AKT1	V-akt murine thymoma viral oncogene homolog 1	AKT, MGC99656, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA
Hs.499886	NM_000382	ALDH3A2	Aldehyde dehydrogenase 3 family, member A2	ALDH10, DKFZp686E23276, FALDH, FLJ20851, SLS
Hs.227817	NM_004049	BCL2A1	BCL2-related protein A1	ACC-1, ACC-2, BCL2L5, BFL1, GRS, HBPA1
Hs.516966	NM_138578	BCL2L1	BCL2-like 1	BCL-XL, S, BCL2L, BCLX, BCLXL, BCLXS, Bcl-X, DKFZp781P2092, bcl-xL, bcl-xS
Hs.696238	NM_001166	BIRC2	Baculoviral IAP repeat containing 2	API1, HIAP2, Hiap-2, MIHB, RNF48, c-IAP1, cIAP1
Hs.127799	NM_001165	BIRC3	Baculoviral IAP repeat containing 3	AIP1, API2, CIAP2, HAIP1, HIAP1, MALT2, MIHC, RNF49, c-IAP2
Hs.529053	NM_000064	C3	Complement component 3	AHUS5, ARMD9, ASP, CPAMD1
Hs.54460	NM_002986	CCL11	Chemokine (C-C motif) ligand 11	MGC22554, SCYA11
Hs.303649	NM_002982	CCL2	Chemokine (C-C motif) ligand 2	GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1, MGC9434, SCYA2, SMC-CF
Hs.534347	NM_002990	CCL22	Chemokine (C-C motif) ligand 22	ABCD-1, DC, B-CK, MDC, MGC34554, SCYA22, STCP-1
Hs.514821	NM_002985	CCL5	Chemokine (C-C motif) ligand 5	D17S136E, MGC17164, RANTES, SCYA5, SISd, TCP228
Hs.523852	NM_053056	CCND1	Cyclin D1	BCL1, D11S287E, PRAD1, U21B31
Hs.450802	NM_000579	CCR5	Chemokine (C-C motif) receptor 5	CC-CKR-5, CCCKR5, CD195, CKR-5, CKR5, CMKBR5, FLJ78003, IDDM22
Hs.472860	NM_001250	CD40	CD40 molecule, TNF receptor superfamily member 5	Bp50, CDW40, MGC9013, TNFRSF5, p50
Hs.208854	NM_001781	CD69	CD69 molecule	CLEC2C
Hs.838	NM_005191	CD80	CD80 molecule	B7, B7-1, B7.1, BB1, CD28LG, CD28LG1, LAB7
Hs.595133	NM_004233	CD83	CD83 molecule	BL11, HB15
Hs.370771	NM_000389	CDKN1A	Cyclin-dependent kinase inhibitor 1A (p21, Cip1)	CAP20, CDKN1, CIP1, MDA-6, P21, SDI1, WAF1, p21CIP1
Hs.69771	NM_001710	CFB	Complement factor B	AHUS4, BF, BFD, CFAB, FB, FBI12, FLJ54899, GBG, H2-Bf, PBF2
Hs.591402	NM_000757	CSF1	Colony stimulating factor 1 (macrophage)	MCSF, MGC31930
Hs.1349	NM_000758	CSF2	Colony stimulating factor 2 (granulocyte-macrophage)	GMCSF, MGC131935, MGC138897
Hs.592192	NM_000395	CSF2RB	Colony stimulating factor 2 receptor, beta, low-affinity (granulocyte-macrophage)	CD131, CDw131, IL3RB, IL5RB
Hs.2233	NM_000759	CSF3	Colony stimulating factor 3 (granulocyte)	C17orf33, CSF3OS, GCSF, MGC45931
Hs.789	NM_001511	CXCL1	Chemokine (C-X-C motif) ligand 1 (melanoma growth stimulating activity, alpha)	FSP, GRO1, GROa, MGSA, MGSA-a, NAP-3, SCYB1
Hs.632586	NM_001565	CXCL10	Chemokine (C-X-C motif) ligand 10	C7, IFI10, INP10, IP-10, SCYB10, crg-2, gIP-10, mob-1
Hs.590921	NM_002089	CXCL2	Chemokine (C-X-C motif) ligand 2	CINC-2a, GRO2, GROb, MGSA-b, MIP-2a, MIP2, MIP2A, SCYB2
Hs.77367	NM_002416	CXCL9	Chemokine (C-X-C motif) ligand 9	CMK, Humig, MIG, SCYB9, crg-10
Hs.488293	NM_005228	EGFR	Epidermal growth factor receptor	ERBB, ERBB1, HER1, PIG61, mENA
Hs.1395	NM_000399	EGR2	Early growth response 2	AT591, CMT1D, CMT4E, DKFZp686J1957, FLJ14547, KROX20
Hs.62192	NM_001993	F3	Coagulation factor III (thromboplastin, tissue factor)	CD142, FLJ17960, TF, TFA
Hs.654450	NM_000132	F8	Coagulation factor VIII, procoagulant component	AHF, DXS1253E, F8B, F8C, FVIII, HEMA
Hs.244139	NM_000043	FAS	Fas (TNF receptor superfamily, member 6)	ALPS1A, APO-1, APT1, CD95, FAS1, FASTM, TNFRSF6
Hs.2007	NM_000639	FASLG	Fas ligand (TNF superfamily, member 6)	APT1LG1, CD178, CD95-L, CD95L, FASL, TNFSF6
Hs.110571	NM_015675	GADD45B	Growth arrest and DNA-damage-inducible, beta	DKFZp566B133, GADD45BETA, MYD118
Hs.643447	NM_000201	ICAM1	Intercellular adhesion molecule 1	BB2, CD54, P3.58
Hs.93177	NM_002176	IFNB1	Interferon, beta 1, fibroblast	IFB, IFF, IFNB, MGC96956
Hs.856	NM_000619	IFNG	Interferon, gamma	IFG, IFI
Hs.674	NM_002187	IL12B	Interleukin 12B (natural killer cell stimulatory factor 2, cytotoxic lymphocyte maturation factor 2, p40)	CLMF, CLMF2, IL-12B, NKSF, NKSF2
Hs.654378	NM_000585	IL15	Interleukin 15	IL-15, MGC9721
Hs.1722	NM_000575	IL1A	Interleukin 1, alpha	IL-1A, IL1, IL1-ALPHA, IL1F1
Hs.126256	NM_000576	IL1B	Interleukin 1, beta	IL-1, IL1-BETA, IL1F2
Hs.25333	NM_004633	IL1R2	Interleukin 1 receptor, type II	CD121b, IL1RB, MGC47725
Hs.81134	NM_000577	IL1RN	Interleukin 1 receptor antagonist	DIRA, ICIL-1RA, IL-1RN, IL-1ra, IL-1ra3, IL1F3, IL1RA, IRAP, MGC10430, MVCD4
Hs.89679	NM_000586	IL2	Interleukin 2	IL-2, TCGF, lymphokine
Hs.231367	NM_000417	IL2RA	Interleukin 2 receptor, alpha	CD25, IDDM10, IL2R, TCGFR
Hs.73917	NM_000589	IL4	Interleukin 4	BCGF-1, BCGF1, BSF-1, BSF1, IL-4, MGC79402
Hs.654458	NM_000600	IL6	Interleukin 6 (interferon, beta 2)	BSF2, HGF, HSF, IFNB2, IL-6
Hs.624	NM_000584	IL8	Interleukin 8	CXCL8, GCP-1, GCP1, LECT, LUCT, LYNAP, MDNCF, MONAP, NAF, NAP-1, NAP1
Hs.654579	NM_000207	INS	Insulin	IDDM2, ILPR, IRDN, MODY10
Hs.436061	NM_002198	IRF1	Interferon regulatory factor 1	IRF-1, MAR
Hs.36	NM_000595	LTA	Lymphotoxin alpha (TNF superfamily, member 1)	LT, TNFB, TNFSF1
Hs.376208	NM_002341	LTB	Lymphotoxin beta (TNF superfamily, member 3)	TNFC, TNFSF3, p33
Hs.463978	NM_002758	MAP2K6	Mitogen-activated protein kinase kinase 6	MAPKK6, MEK6, MKK6, PRKMK6, SAPKK3
Hs.297413	NM_004994	MMP9	Matrix metallopeptidase 9 (gelatinase B, 92kDa gelatinase, 92kDa type IV collagenase)	CLG4B, GELB, MANDP2, MMP-9
Hs.202453	NM_002467	MYC	V-myc myelocytomatosis viral oncogene homolog (avian)	MRTL, bHLHe39, c-Myc
Hs.82116	NM_002468	MYD88	Myeloid differentiation primary response gene (88)	MYD88D
Hs.592142	NM_181659	NCOA3	Nuclear receptor coactivator 3	ACTR, AIB-1, AIB1, CAGH16, CTG26, KAT13B, MGC141848, RAC3, SRC-3, SRC3, TNRC14, TNRC16, TRAM-1, bHLHe42, pCIP
Hs.654408	NM_003998	NFKB1	Nuclear factor of kappa light polypeptide gene enhancer in B-cells 1	DKFZp686C01211, EBP-1, KBF1, MGC54151, NF-kappa-B, NF-kappaB, NFKB-p105, NFKB-p50, NFkappaB, p105, p50
Hs.73090	NM_002502	NFKB2	Nuclear factor of kappa light polypeptide gene enhancer in B-cells 2 (p49/p100)	LYT-10, LYT10, p52
Hs.81328	NM_020529	NFKBIA	Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha	IKBA, MAD-3, NFKBI
Hs.406515	NM_000903	NQO1	NAD(P)H dehydrogenase, quinone 1	DHQU, DIA4, DTD, NMOR1, NMORI, QR1
Hs.563344	NM_006186	NR4A2	Nuclear receptor subfamily 4, group A, member 2	HZF-3, NOT, NURR1, RNR1, TINUR
Hs.1976	NM_002608	PDGFB	Platelet-derived growth factor beta polypeptide	FLJ12858, PDGF2, SIS, SSV, c-sis
Hs.77274	NM_002658	PLAU	Plasminogen activator, urokinase	ATF, UPA, URK, u-PA
Hs.196384	NM_000963	PTGS2	Prostaglandin-endoperoxide synthase 2 (prostaglandin G/H synthase and cyclooxygenase)	COX-2, COX2, GRIPGHS, PGG, HS, PGHS-2, PHS-2, hCox-2
Hs.631886	NM_002908	REL	V-rel reticuloendotheliosis viral oncogene homolog (avian)	C-Rel
Hs.502875	NM_021975	RELA	V-rel reticuloendotheliosis viral oncogene homolog A (avian)	MGC131774, NFKB3, p65
Hs.654402	NM_006509	RELB	V-rel reticuloendotheliosis viral oncogene homolog B	I-REL, IREL, REL-B
Hs.89546	NM_000450	SELE	Selectin E	CD62E, ELAM, ELAM1, ESEL, LECAM2
Hs.73800	NM_003005	SELP	Selectin P (granule membrane protein 140kDa, antigen CD62)	CD62, CD62P, FLJ45155, GMP140, GRMP, LECAM3, PADGEM, PSEL
Hs.167317	NM_003081	SNAP25	Synaptosomal-associated protein, 25kDa	FLJ23079, RIC-4, RIC4, SEC9, SNAP, SNAP-25, bA416N4.2, dJ1068F16.2
Hs.487046	NM_000636	SOD2	Superoxide dismutase 2, mitochondrial	IPOB, MNSOD, MVCD6
Hs.642990	NM_007315	STAT1	Signal transducer and activator of transcription 1, 91kDa	DKFZp686B04100, ISGF-3, STAT91
Hs.463059	NM_003150	STAT3	Signal transducer and activator of transcription 3 (acute-phase response factor)	APRF, FLJ20882, HIES, MGC16063
Hs.595276	NM_012448	STAT5B	Signal transducer and activator of transcription 5B	STAT5
Hs.241570	NM_000594	TNF	Tumor necrosis factor	DIF, TNF-alpha, TNFA, TNFSF2
Hs.256278	NM_001066	TNFRSF1B	Tumor necrosis factor receptor superfamily, member 1B	CD120b, TBPII, TNF-R-II, TNF-R75, TNFBR, TNFR1B, TNFR2, TNFR80, p75, p75TNFR
Hs.478275	NM_003810	TNFSF10	Tumor necrosis factor (ligand) superfamily, member 10	APO2L, Apo-2L, CD253, TL2, TRAIL
Hs.654481	NM_000546	TP53	Tumor protein p53	FLJ92943, LFS1, P53, TRP53
Hs.522506	NM_021138	TRAF2	TNF receptor-associated factor 2	MGC:45012, TRAP, TRAP3
Hs.109225	NM_001078	VCAM1	Vascular cell adhesion molecule 1	CD106, DKFZp779G2333, INCAM-100, MGC99561
Hs.356076	NM_001167	XIAP	X-linked inhibitor of apoptosis	API3, BIRC4, FLJ26913, IAP-3, ILP1, MIHA, XLP2, hIAP-3, hIAP3
Hs.520640	NM_001101	ACTB	Actin, beta	PS1TP5BP1
Hs.534255	NM_004048	B2M	Beta-2-microglobulin	-
Hs.592355	NM_002046	GAPDH	Glyceraldehyde-3-phosphate dehydrogenase	G3PD, GAPD, MGC88685
Hs.412707	NM_000194	HPRT1	Hypoxanthine phosphoribosyltransferase 1	HGPRT, HPRT
Hs.546285	NM_001002	RPLP0	Ribosomal protein, large, P0	L10E, LP0, MGC111226, MGC88175, P0, PRLP0, RPP0
N/A	SA_00105	HGDC	Human Genomic DNA Contamination	HIGX1A

Table A2.

List Additional Genes of the Customized QPCR Array.

UniGene	GeneBank	Symbol	Description	Gene Names
Hs.131431	NM_002759	EIF2AK2	Eukaryotic translation initiation factor 2-alpha kinase 2	EIF2AK1/PKR
Hs.141125	NM_004346	CASP3	Caspase 3, apoptosis-related cysteine peptidase	CPP32/CPP32B
Hs.146806	NM_003592	CUL1	Cullin 1	MGC149834
Hs.147433	NM_182649	PCNA	Proliferating cell nuclear antigen	MGC8367
Hs.160953	NM_022112	P53AIP1	P53-regulated apoptosis-inducing protein 1	P53AIP1
Hs.1770	NM_000234	LIG1	Ligase I, DNA, ATP-dependent	MGC117397
Hs.191334	NM_003362	UNG	Uracil-DNA glycosylase	DGU/DKFZp781L1143
Hs.191356	NM_001515	GTF2H2	General transcription factor IIH, polypeptide 2, 44 kDa	BTF2/BTF2P44
Hs.193717	NM_000572	IL10	Interleukin 10	CSIF/IL-10
Hs.194143	NM_007294	BRCA1	Breast cancer 1, early onset	BRCAI/BRCC1
Hs.2420	NM_003102	SOD3	Superoxide dismutase 3, extracellular	EC-SOD
Hs.244723	NM_001238	CCNE1	Cyclin E1	CCNE
Hs.24529	NM_001274	CHEK1	CHK1 checkpoint homolog (S. pombe)	CHK1
Hs.271791	NM_001184	ATR	Ataxia telangiectasia and Rad3 related	FRP1/MEC1
Hs.290758	NM_001923	DDB1	Damage-specific DNA binding protein 1, 127 kDa	DDBA/UV-DDB1
Hs.291363	NM_007194	CHEK2	CHK2 checkpoint homolog (S. pombe)	CDS1/CHK2
Hs.31210	NM_005178	BCL3	B-cell CLL/lymphoma 3	BCL4/D19S37
Hs.321045	NM_014002	IKBKE	Inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase epsilon	IKK-i/IKKE
Hs.326035	NM_001964	EGR1	Early growth response 1	AT225/G0S30
Hs.329502	NM_001229	CASP9	Caspase 9, apoptosis-related cysteine peptidase	APAF-3/APAF3
Hs.334562	NM_001786	CDC2	Cell division cycle 2, G1 to S and G2 to M	CDC28A/CDK1
Hs.34012	NM_000059	BRCA2	Breast cancer 2, early onset	BRCC2/FACD
Hs.367437	NM_000051	ATM	Ataxia telangiectasia mutated	AT1/ATA
Hs.380271	NM_002542	OGG1	8-oxoguanine DNA glycosylase	HMMH/HOGG1
Hs.388739	NM_021141	XRCC5	X-ray repair complementing defective repair in Chinese hamster cells 5 (double-strand-break rejoining; Ku autoantigen, 80 kDa)	KARP-1/KARP1
Hs.408528	NM_000321	RB1	Retinoblastoma 1 (including osteosarcoma)	OSRC/RB
Hs.431850	NM_002745	MAPK1	Mitogen-activated protein kinase 1	ERK/ERK2
Hs.43505	NM_003639	IKBKG	Inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase gamma	AMCBX1/FIP-3
Hs.437705	NM_001789	CDC25A	Cell division cycle 25 homolog A (S. pombe)	CDC25A2
Hs.443914	NM_000454	SOD1	Superoxide dismutase 1, soluble (amyotrophic lateral sclerosis 1 (adult))	ALS/ALS1
Hs.445203	NM_001539	DNAJA1	DnaJ (Hsp40) homolog, subfamily A, member 1	DJ-2/DjA1
Hs.460996	NM_003789	TRADD	TNFRSF1A-associated via death domain	Hs.89862
Hs.469872	NM_000122	ERCC3	Excision repair cross-complementing rodent repair deficiency, complementation group 3 (xeroderma pigmentosum group B complementing)	BTF2/GTF2H
Hs.492208	NM_002485	NBN	Nibrin	AT-V1/AT-V2
Hs.498248	NM_130398	EXO1	Exonuclease 1	HEX1/hExoI
Hs.502302	NM_001752	CAT	Catalase	MGC138422
Hs.505033	NM_004985	KRAS	V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog	C-K-RAS/K-RAS2A
Hs.505777	NM_004083	DDIT3	DNA-damage-inducible transcript 3	CEBPZ/CHOP
Hs.512599	NM_000077	CDKN2A	Cyclin-dependent kinase inhibitor 2A (melanoma, p16, inhibits CDK4)	ARF/CDK4I
Hs.514527	NM_001168	BIRC5	Baculoviral IAP repeat-containing 5 (survivin)	API4/EPR-1
Hs.520028	NM_005345	HSPA1A	Heat shock 70 kDa protein 1A	HSP70-1/HSP72
Hs.523185	NM_012423	RPL13A	Ribosomal protein L13a	RPL13A
Hs.523560	NM_001040141	HSP90AA2	Heat shock protein 90 kDa alpha (cytosolic), class A member 2	HSP90ALPHA/HSPCA
Hs.523968	NM_005426	TP53BP2	Tumor protein p53 binding protein, 2	53BP2/ASPP2
Hs.525704	NM_002228	JUN	Jun oncogene	AP1/c-Jun
Hs.530227	NM_005526	HSF1	Heat shock transcription factor 1	HSTF1
Hs.531704	NM_002737	PRKCA	Protein kinase C, alpha	AAG6/PKC-alpha
Hs.544577	NM_002046	GAPDH	Glyceraldehyde-3-phosphate dehydrogenase	G3PD/GAPD
Hs.553498	NM_006218	PIK3CA	Phosphoinositide-3-kinase, catalytic, alpha polypeptide	PI3K/p110-alpha
Hs.567303	NM_002392	MDM2	Mdm2, transformed 3T3 cell double minute 2, p53 binding protein (mouse)	HDMX/hdm2
Hs.567387	NM_057749	CCNE2	Cyclin E2	CYCE2
Hs.591084	NM_004629	FANCG	Fanconi anemia, complementation group G	FAG/XRCC9
Hs.591980	NM_000378	WT1	Wilms tumor 1	GUD/WAGR
Hs.592325	NM_005432	XRCC3	X-ray repair complementing defective repair in Chinese hamster cells 3	XRCC3
Hs.592839	NM_005633	SOS1	Son of sevenless homolog 1 (Drosophila)	GF1/GGF1
Hs.61188	NM_033276	XRCC6BP1	XRCC6 binding protein 1	KUB3
Hs.631709	NM_002875	RAD51	RAD51 homolog (RecA homolog, E. coli) (S. cerevisiae)	BRCC5/HRAD51
Hs.647093	NM_005431	XRCC2	X-ray repair complementing defective repair in Chinese hamster cells 2	DKFZp781P0919
Hs.647371	NM_005953	MT2A	Metallothionein 2A	MT2
Hs.654393	NM_005225	E2F1	E2F transcription factor 1	E2F-1/RBBP3
Hs.654532	NM_003263	TLR1	Toll-like receptor 1	CD281/DKFZp547I0610
Hs.655354	NM_004584	RAD9A	RAD9 homolog A (S. pombe)	RAD9
Hs.655983	NM_001228	CASP8	Caspase 8, apoptosis-related cysteine peptidase	ALPS2B/CAP4
Hs.656458	NM_001556	IKBKB	Inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase beta	IKK-beta/IKK2
Hs.695926	NM_002890	RASA1	RAS p21 protein activator (GTPase activating protein) 1	CM-AVM/CMAVM
Hs.697294	NM_005427	TP73	Tumor protein p73	P73
Hs.706746	NM_000625	NOS2A	Nitric oxide synthase 2A (inducible, hepatocytes)	HEP-NOS/INOS
Hs.708288	NM_000165	GJA1	Gap junction protein, alpha 1, 43 kDa	CX43/DFNB38
Hs.73133	NM_005954	MT3	Metallothionein 3	GIF/GIFB
Hs.76686	NM_000581	GPX1	Glutathione peroxidase 1	GSHPX1
Hs.80409	NM_001924	GADD45A	Growth arrest and DNA-damage-inducible, alpha	DDIT1/GADD45
Hs.87247	NM_003806	HRK	Harakiri, BCL2 interacting protein (contains only BH3 domain)	DP5/HARAKIRI
Hs.9701	NM_006705	GADD45G	Growth arrest and DNA-damage-inducible, gamma	CR6/DDIT2
Hs.98493	NM_006297	XRCC1	X-ray repair complementing defective repair in Chinese hamster cells 1	RCC

Table A3.

Basal gene expression in HEK shRNA RelA cells compared to the original cell line HEK-pNF-κB-d2EGFP/Neo L2 using the RT2 Profiler PCR array.

Symbol	µ	SE	Symbol	µ	SE	Symbol	µ	SE
ACTB	1.02	0.06	CFB	−1.12	0.13	HSP90AA2	1.74	0.19
ADM	1.42	0.23	CHEK1	1.01	0.16	HSPA1A	1.86	0.33
AGT	−1.02	0.13	CHEK2	−1.11	0.06	ICAM1	1.13	0.16
AKT1	−1.11	0.10	CSF1	−1.24	0.06	IFNB1	−1.00	0.05
ALDH3A2	−1.15	0.03	CSF2	1.06	0.18	IFNG	−1.00	0.05
ATM	−1.79	0.02	CSF2RB	−1.00	0.05	IKBKB	−1.37	0.06
ATR	1.40	0.08	CSF3	1.35	0.20	IKBKE	−2.40	0.02
B2M	−1.03	0.07	CUL1	1.04	0.12	IKBKG	1.10	0.27
BCL2A1	1.06	0.11	CXCL1	−1.59	0.12	IL10	1.67	0.43
BCL2L1	1.08	0.13	CXCL10	−1.32	0.15	IL12B	−1.15	0.06
BCL3	−1.15	0.21	CXCL2	1.11	0.24	IL15	−1.36	0.11
BIRC2	−1.03	0.09	CXCL9	1.57	0.38	IL1A	1.12	0.17
BIRC3	1.23	0.30	DDB1	1.21	0.28	IL1B	1.09	0.08
BIRC5	1.06	0.10	DDIT3	1.62	0.51	IL1R2	−1.05	0.24
BRCA2	1.08	0.12	DNAJA1	−1.23	0.09	IL1RN	−1.00	0.05
BRCA5	−1.04	0.28	E2F1	1.27	0.40	IL2	−1.00	0.05
C3	1.88	0.69	EGFR	−1.04	0.11	IL2RA	−1.00	0.05
CASP3	1.27	0.09	EGR1	2.15	0.30	IL4	1.97	0.33
CASP8	−1.22	0.30	EGR2	1.30	0.30	IL6	1.27	0.28
CASP9	−1.07	0.06	EIF2AK2	−1.24	0.04	IL8	−2.31	0.13
CAT	1.03	0.22	ERCC3	−1.18	0.09	INS	−1.00	0.05
CCL11	1.22	0.32	EXO1	−1.19	0.21	IRF1	−1.11	0.08
CCL2	1.36	0.11	F3	1.20	0.15	JUN	4.96	1.85
CCL22	−1.00	0.05	F8	1.16	0.06	KRAS	−1.08	0.02
CCL5	15.57	8.77	FANCG	−1.48	0.04	LIG1	−1.18	0.23
CCND1	−2.99	0.05	FAS	−1.30	0.13	LTA	1.54	0.33
CCNE1	1.03	0.08	FASLG	2.50	0.54	LTB	1.09	0.25
CCNE2	1.18	0.23	GADD45A	−1.27	0.06	MAP2K6	−1.23	0.13
CCR5	1.53	0.28	GADD45B	3.63	1.08	MAPK1	−1.10	0.12
CD40	−1.02	0.15	GADD45G	−1.17	0.19	MDM2	−1.24	0.11
CD69	−1.00	0.05	GAPDH	1.13	0.07	MMP9	−1.03	0.23
CD80	1.18	0.26	GJA1	−1.22	0.16	MT2A	1.01	0.07
CD83	−1.50	0.09	GPX1	1.52	0.17	MT3	1.88	0.80
CDC2	1.12	0.21	GTF2H2	−1.24	0.06	MYC	1.14	0.20
CDC25A	1.22	0.10	HPRT1	1.21	0.08	MYD88	−1.33	0.17
CDKN1A	1.37	0.31	HRK	1.12	0.48	NBN	−2.37	0.09
CDKN2A	1.11	0.06	HSF1	1.06	0.21	NCOA3	1.33	0.06
NFKB1	1.00	0.06	RB1	1.00	0.04	TNF	−1.69	0.12
NFKB2	1.19	0.16	REL	−1.27	0.04	TNFRSF1B	1.02	0.25
NFKBIA	−1.64	0.08	RELA	−4.93	0.02	TNFSF10	−1.01	0.23
NOS2	1.40	0.32	RELB	1.14	0.22	TP53	−1.17	0.04
NQO1	1.28	0.19	RPL13A	−1.12	0.13	TP53BP2	−1.13	0.10
NR4A2	2.40	0.23	RPLP0	−1.19	0.06	TP73	1.02	0.09
OGG1	1.02	0.18	SELE	1.64	0.38	TRADD	−1.46	0.04
P53AIP1	1.45	0.30	SELP	−1.00	0.05	TRAF2	−1.12	0.03
PCNA	1.28	0.16	SNAP25	1.79	0.38	UNG	1.66	0.18
PDGFB	−1.00	0.05	SOD1	1.21	0.15	VCAM1	−1.00	0.05
PIK3Ca	1.13	0.07	SOD2	−1.09	0.06	WT1	1.25	0.19
PLAU	−1.52	0.14	SOD3	2.03	0.75	XIAP	−1.10	0.12
PRKCA	−1.03	0.12	SOS1	−1.11	0.13	XRCC1	1.01	0.09
PTGS2	1.96	0.38	STAT1	1.25	0.05	XRCC2	−1.52	0.07
RAD51	1.02	0.05	STAT3	−1.10	0.04	XRCC3	1.04	0.31
RAD9A	1.04	0.04	STAT5B	−1.08	0.09	XRCC5	1.10	0.11
RASA1	−1.24	0.05	TLR1	1.15	0.03	XRCC6BP1	−1.20	0.10

Table A4.

TNF-α induced gene expression in HEK shRNA RelA cells (RelA k.d.) compared to the original cell line HEK-pNF-κB-d2EGFP/Neo L2 (HEK wt) using the RT2 Profiler PCR array.

	HEK wt		RelA k.d.
Symbol	µ	SE	µ	SE
ACTB	−1.19	0.05	−1.26	0.07
ADM	−1.88	0.08	1.39	0.27
AGT	1.57	0.42	−1.06	0.11
AKT1	−1.36	0.08	1.04	0.16
ALDH3A2	−1.19	0.02	−1.23	0.03
ATM	−1.01	0.03	1.19	0.06
ATR	−1.50	0.05	1.35	0.03
B2M	1.58	0.14	1.27	0.07
BCL2A1	2.22	0.32	1.47	0.20
BCL2L1	1.65	0.19	1.17	0.08
BCL3	2.38	0.44	1.67	0.47
BIRC2	1.54	0.13	1.27	0.12
BIRC3	4.76	0.98	2.03	0.47
BIRC5	−1.36	0.10	−1.09	0.01
BRCA2	1.21	0.07	1.48	0.22
BRCA5	2.04	0.67	1.47	0.33
C3	5.97	1.39	1.97	0.57
CASP3	−1.04	0.10	1.44	0.02
CASP8	1.97	0.74	1.80	0.56
CASP9	1.08	0.07	−1.02	0.05
CAT	−1.44	0.18	−1.18	0.11
CCL11	3.73	1.51	1.84	0.57
CCL2	3.04	0.24	−1.28	0.09
CCL22	1.39	0.24	−1.15	0.04
CCL5	4.79	1.79	29.02	12.66
CCND1	−2.35	0.11	−1.55	0.09
CCNE1	−1.13	0.09	−1.10	0.04
CCNE2	1.40	0.33	1.56	0.22
CCR5	1.61	0.49	−2.87	0.06
CD40	2.83	0.53	1.51	0.30
CD69	3.37	0.23	−1.15	0.04
CD80	2.06	0.50	2.32	0.77
CD83	5.68	0.82	1.67	0.08
CDC2	1.16	0.16	1.38	0.31
CDC25A	1.25	0.02	−1.04	0.11
CDKN1A	2.85	0.50	2.59	0.59
CDKN2A	−1.35	0.04	−1.14	0.04
CFB	2.21	0.36	1.36	0.17
CHEK1	1.35	0.25	1.15	0.15
CHEK2	1.18	0.06	1.14	0.09
CSF1	2.55	0.25	−1.14	0.02
CSF2	1.16	0.37	−1.32	0.10
CSF2RB	−1.07	0.05	−1.15	0.04
CSF3	1.07	0.30	1.13	0.21
CUL1	1.08	0.15	−1.09	0.06
CXCL1	47.46	11.75	−1.05	0.08
CXCL10	23.38	5.72	−1.18	0.06
CXCL2	18.29	3.92	1.72	0.33
CXCL9	2.08	0.62	1.72	0.45
DDB1	−1.10	0.27	−1.33	0.10
DDIT3	1.88	0.63	1.91	0.50
DNAJA1	1.48	0.24	1.07	0.02
E2F1	−1.31	0.28	−1.28	0.18
EGFR	1.80	0.20	1.33	0.14
EGR1	−1.06	0.18	1.23	0.03
EGR2	1.98	0.57	1.81	0.47
EIF2AK2	1.06	0.06	1.09	0.04
ERCC3	1.26	0.01	1.12	0.17
EXO1	1.97	0.67	−4.29	0.02
F3	2.66	0.30	1.66	0.22
F8	−1.23	0.10	1.26	0.02
FANCG	1.26	0.08	1.18	0.05
FAS	−1.39	0.13	−1.13	0.16
FASLG	1.28	0.47	−1.01	0.18
GADD45A	1.38	0.15	1.86	0.00
GADD45B	2.01	0.56	2.60	0.91
GADD45G	−1.01	0.24	1.12	0.20
GAPDH	−1.29	0.06	−1.32	0.04
GJA1	−1.03	0.12	−1.46	0.17
GPX1	−1.17	0.13	−1.34	0.03
GTF2H2	1.42	0.02	1.24	0.13
HPRT1	−1.13	0.07	1.40	0.17
HRK	2.12	0.76	2.45	1.08
HSF1	1.60	0.44	−1.00	0.07
HSP90AA2	1.17	0.16	1.05	0.07
HSPA1A	−1.51	0.15	−1.04	0.08
ICAM1	2.12	0.36	−2.56	0.05
IFNB1	−1.01	0.05	−1.15	0.04
IFNG	−1.36	0.17	−1.15	0.04
IKBKB	1.20	0.14	1.05	0.00
IKBKE	1.22	0.08	−1.83	0.03
IKBKG	1.01	0.33	−1.75	0.06
IL10	1.41	0.26	−1.80	0.17
IL12B	1.82	0.32	1.42	0.07
IL15	2.83	0.63	1.59	0.07
IL1A	1.59	0.19	1.38	0.23
IL1B	−1.10	0.07	1.27	0.12
IL1R2	4.02	1.29	1.71	0.30
IL1RN	1.39	0.24	−1.15	0.04
IL2	−1.27	0.13	−1.15	0.04
IL2RA	1.35	0.21	−1.15	0.04
IL4	1.62	0.43	−1.12	0.14
IL6	1.01	0.23	1.05	0.18
IL6	1.86	0.58	2.39	0.50
IL8	17.83	5.19	−1.15	0.04
INS	−1.27	0.12	1.29	0.11
IRF1	3.16	0.40	−1.18	0.12
JUN	1.39	0.69	1.15	0.01
KRAS	1.11	0.02	−1.42	0.10
LIG1	−1.24	0.29	1.58	0.38
LTA	1.52	0.51	2.06	0.67
LTB	1.92	0.58	−1.80	0.13
MAP2K6	−1.57	0.12	−1.08	0.11
MAPK1	−1.13	0.13	1.02	0.13
MDM2	−1.01	0.13	2.01	0.37
MMP9	3.34	0.61	−1.53	0.06
MT2A	−1.13	0.02	−1.04	0.45
MT3	1.86	0.58	−1.10	0.16
MYC	−1.84	0.08	2.09	0.70
MYD88	1.49	0.35	1.01	0.29
NBN	−1.18	0.06	1.12	0.08
NCOA3	−1.02	0.06	1.22	0.04
NFKB1	2.88	0.28	1.47	0.13
NFKB2	2.90	0.61	1.79	0.40
NFKBIA	11.88	1.66	2.52	0.30
NOS2	1.91	0.52	1.32	0.20
NQO1	−1.76	0.10	−1.10	0.05
NR4A2	1.17	0.18	1.22	0.21
OGG1	−1.19	0.10	−1.19	0.19
P53AIP1	1.64	0.09	1.42	0.41
PCNA	1.36	0.14	1.25	0.18
PDGFB	1.17	0.12	−1.15	0.04
PIK3Ca	1.20	0.08	1.19	0.06
PLAU	3.35	0.57	2.64	0.58
PRKCA	−1.00	0.17	−1.21	0.05
PTGS2	3.99	0.53	2.17	0.39
RAD51	−1.00	0.02	1.00	0.07
RAD9A	1.10	0.02	−1.31	0.04
RASA1	1.11	0.07	1.27	0.07
RB1	1.07	0.03	1.08	0.05
REL	2.40	0.25	1.33	0.07
RELA	1.69	0.17	−1.11	0.06
RELB	1.82	0.55	1.21	0.23
RPL13A	−1.29	0.09	−1.12	0.15
RPLP0	1.46	0.12	1.10	0.05
SELE	1.86	0.71	1.06	0.19
SELP	1.17	0.11	−1.15	0.04
SNAP25	1.48	0.31	2.06	0.64
SOD1	−1.28	0.13	−1.16	0.05
SOD2	−1.17	0.09	−1.10	0.06
SOD3	1.86	0.58	−1.42	0.27
SOS1	1.25	0.19	1.08	0.14
STAT1	1.07	0.11	1.01	0.04
STAT3	−1.15	0.09	1.02	0.06
STAT5B	1.35	0.18	1.28	0.17
TLR1	−1.40	0.01	−2.09	0.02
TNF	60.95	12.42	3.40	0.54
TNFRSF1B	1.49	0.34	4.13	2.29
TNFSF10	1.73	0.37	2.07	0.78
TP53	1.17	0.05	1.16	0.06
TP53BP2	1.31	0.17	−1.00	0.09
TP73	1.11	0.12	−2.03	0.04
TRADD	1.09	0.06	−1.42	0.04
TRAF2	1.23	0.11	1.04	0.05
UNG	−1.23	0.12	−1.09	0.05
VCAM1	−1.36	0.15	−1.15	0.04
WT1	1.20	0.01	−1.64	0.13
XIAP	1.50	0.21	1.37	0.17
XRCC1	1.04	0.13	−1.17	0.02
XRCC2	1.17	0.14	1.42	0.11
XRCC3	−1.28	0.27	−1.65	0.13
XRCC5	−1.17	0.12	1.05	0.01
XRCC6BP1	−1.08	0.02	−1.09	0.15

Table A5.

Relative gene expression in HEK-pNF-κB-d2EGFP/Neo L2 (HEK wt) and HEK shRNA RelA (RelA k.d.) cells after irradiation using the RT2 Profiler PCR array: X-rays.

	HEK wt						RelA k.d.
	0.5 Gy		4 Gy		8 Gy		0.5 Gy		4 Gy		8 Gy
Symbol	µ	SE	µ	SE	µ	SE	µ	SE	µ	SE	µ	SE
ADM	−1.09	0.11	−1.04	0.09	−1.16	0.08	1.02	0.20	1.18	0.23	1.15	0.22
AGT	−1.35	0.23	1.80	0.57	1.56	0.47	1.07	0.12	1.17	0.13	−1.00	0.11
AKT1	1.08	0.06	1.05	0.05	1.12	0.05	1.22	0.19	1.31	0.20	1.29	0.20
ALDH3A2	1.16	0.04	1.01	0.07	−1.08	0.06	1.06	0.04	−1.03	0.04	−1.01	0.04
BCL2A1	1.15	0.19	1.31	0.15	−1.15	0.12	−1.02	0.13	1.45	0.19	1.04	0.14
BCL2L1	1.01	0.11	−1.18	0.09	−1.12	0.13	−1.41	0.05	1.21	0.09	−1.24	0.06
BIRC2	−1.17	0.06	−1.14	0.04	1.02	0.07	−1.37	0.07	−1.02	0.09	−1.08	0.08
BIRC3	−1.31	0.11	1.96	0.38	2.53	0.29	−1.86	0.12	−1.02	0.23	−1.22	0.19
C3	1.98	0.32	1.98	0.32	1.05	0.14	−1.72	0.17	1.43	0.42	1.20	0.35
CCL11	1.40	0.57	2.66	0.78	2.63	0.77	1.88	0.58	1.90	0.59	1.23	0.38
CCL2	−1.21	0.08	1.24	0.15	2.25	0.20	1.25	0.15	1.10	0.13	1.04	0.12
CCL22	1.73	0.32	1.14	0.31	1.08	0.24	1.08	0.05	1.17	0.06	1.15	0.05
CCL5	−1.42	0.24	3.68	1.53	3.34	1.40	1.55	0.68	2.07	0.90	−1.47	0.30
CCND1	1.02	0.19	1.15	0.18	1.20	0.18	1.46	0.21	2.16	0.30	2.13	0.30
CCR5	−1.34	0.28	1.78	0.61	1.49	0.44	1.55	0.28	1.52	0.27	−1.01	0.18
CD40	1.09	0.18	1.27	0.15	1.21	0.16	−1.02	0.19	1.42	0.28	−1.14	0.17
CD69	1.28	0.10	1.14	0.11	−1.01	0.08	1.08	0.05	1.17	0.06	1.15	0.05
CD80	−1.63	0.17	1.45	0.35	1.29	0.25	−1.34	0.25	2.42	0.80	−1.35	0.24
CD83	−1.01	0.03	2.47	0.08	3.75	0.18	1.12	0.06	1.67	0.08	2.27	0.11
CDKN1A	1.41	0.19	1.81	0.19	1.84	0.21	1.17	0.33	1.58	0.45	2.04	0.58
CFB	1.21	0.14	−1.09	0.08	−1.20	0.09	−1.33	0.09	−1.39	0.09	−1.15	0.11
CSF1	1.31	0.12	1.52	0.13	1.92	0.14	1.13	0.02	1.28	0.03	1.30	0.03
CSF2	−1.49	0.27	−1.02	0.32	1.30	0.46	1.44	0.19	1.41	0.19	−1.06	0.13
CSF2RB	1.07	0.08	−1.00	0.08	−1.13	0.06	1.08	0.05	1.17	0.06	1.15	0.05
CSF3	−1.55	0.22	1.53	0.54	1.82	0.62	1.26	0.23	1.03	0.19	−1.31	0.14
CXCL1	1.04	0.20	3.57	0.56	6.96	1.01	1.06	0.09	1.52	0.12	2.02	0.16
CXCL10	−1.10	0.16	4.68	0.60	14.58	2.57	1.05	0.08	2.23	0.16	2.04	0.15
CXCL2	−1.35	0.13	2.33	0.33	3.01	0.40	−1.04	0.19	1.55	0.30	1.29	0.25
CXCL9	−2.11	0.17	1.58	0.56	1.75	0.48	−1.43	0.18	1.38	0.36	−1.25	0.21
EGFR	1.25	0.12	1.43	0.11	1.57	0.13	−1.10	0.10	1.04	0.11	−1.07	0.10
EGR2	−1.77	0.19	1.03	0.24	1.32	0.31	−1.65	0.16	1.95	0.51	−1.02	0.26
F3	−1.05	0.11	1.35	0.11	1.56	0.13	1.13	0.15	1.31	0.17	1.67	0.22
F8	−1.39	0.10	−1.36	0.08	−1.45	0.08	−1.35	0.01	−1.55	0.01	−1.48	0.01
FAS	1.35	0.30	1.31	0.21	1.57	0.25	1.68	0.31	1.85	0.34	1.86	0.34
FASLG	−1.78	0.25	1.81	0.77	2.39	0.97	1.28	0.23	1.40	0.25	−1.61	0.11
GADD45B	−1.83	0.17	1.66	0.49	1.50	0.37	−1.30	0.27	−1.43	0.24	−1.60	0.22
ICAM1	1.46	0.24	1.29	0.17	1.03	0.16	−1.02	0.12	−1.00	0.12	1.11	0.14
IFNB1	1.12	0.07	1.27	0.06	−1.27	0.09	1.08	0.05	1.17	0.06	1.15	0.05
IFNG	−1.32	0.22	1.44	0.39	1.41	0.41	1.08	0.05	1.17	0.06	1.15	0.05
IL12B	−1.36	0.16	1.45	0.33	1.64	0.31	−1.02	0.05	2.01	0.10	1.13	0.05
IL15	1.14	0.23	2.22	0.58	2.31	0.49	1.08	0.05	1.46	0.06	1.55	0.07
IL1A	−1.52	0.11	−1.33	0.11	−1.31	0.09	−1.70	0.12	1.26	0.27	−1.24	0.17
IL1B	1.03	0.09	−1.12	0.10	−1.36	0.09	1.02	0.10	1.10	0.11	1.08	0.10
IL1R2	−1.80	0.16	−1.00	0.24	−1.29	0.18	−1.27	0.14	1.41	0.25	−1.13	0.16
IL1RN	1.73	0.32	1.14	0.31	1.08	0.24	1.08	0.05	1.17	0.06	1.15	0.05
IL2	−1.16	0.18	1.14	0.19	1.03	0.18	1.08	0.05	1.17	0.06	1.15	0.05
IL2RA	1.67	0.28	1.21	0.27	1.30	0.18	1.08	0.05	1.17	0.06	1.15	0.05
IL4	−1.36	0.23	1.51	0.46	1.20	0.33	1.10	0.18	−1.17	0.14	−1.60	0.10
IL6	−1.30	0.22	1.75	0.51	1.53	0.45	1.19	0.12	1.09	0.11	1.07	0.11
IL8	−1.73	0.19	2.42	0.66	3.74	0.86	1.20	0.19	1.38	0.22	1.01	0.16
INS	−1.16	0.17	1.22	0.20	1.48	0.34	1.08	0.05	1.17	0.06	1.15	0.05
IRF1	1.27	0.14	1.45	0.15	2.19	0.25	1.08	0.09	1.41	0.12	1.56	0.13
LTA	−1.19	0.35	1.77	0.64	1.89	0.60	−1.29	0.19	1.86	0.45	1.00	0.24
LTB	−1.87	0.20	1.23	0.38	1.13	0.30	−1.54	0.21	2.67	0.87	1.30	0.42
MAP2K6	−1.20	0.18	−1.91	0.10	−2.78	0.06	−1.15	0.21	−1.09	0.22	−1.02	0.24
MMP9	−1.37	0.04	−1.36	0.03	−1.48	0.03	−1.42	0.13	−1.28	0.14	−1.18	0.16
MYC	1.03	0.05	−1.02	0.06	−1.22	0.04	−1.19	0.15	−1.24	0.14	−1.24	0.14
MYD88	−1.89	0.14	1.24	0.36	1.13	0.27	1.57	0.53	1.60	0.54	1.41	0.47
NCOA3	1.04	0.08	−1.15	0.05	−1.20	0.05	−1.13	0.06	−1.11	0.06	−1.33	0.05
NFKB1	−1.08	0.13	1.62	0.17	2.73	0.30	1.17	0.03	1.21	0.04	1.31	0.04
NFKB2	1.01	0.12	2.93	0.33	4.07	0.45	1.09	0.18	1.48	0.24	1.62	0.26
NFKBIA	−1.07	0.08	2.65	0.34	4.26	0.40	−1.13	0.10	1.47	0.17	1.69	0.19
NQO1	1.10	0.12	−1.10	0.12	−1.17	0.10	1.18	0.06	1.21	0.06	1.49	0.08
NR4A2	1.43	0.25	−1.10	0.19	1.03	0.23	−1.02	0.17	1.08	0.19	1.73	0.30
PDGFB	1.41	0.16	1.13	0.17	−1.02	0.14	1.08	0.05	1.17	0.06	1.15	0.05
PLAU	−1.11	0.15	2.09	0.49	2.18	0.41	1.22	0.27	1.26	0.28	−1.29	0.17
PTGS2	−1.03	0.03	1.41	0.03	1.77	0.05	−1.62	0.11	−1.21	0.15	−1.35	0.13
REL	1.10	0.15	1.02	0.14	1.40	0.17	−1.32	0.04	−1.07	0.05	−1.07	0.05
RELA	1.10	0.06	1.07	0.04	1.19	0.05	1.00	0.06	1.14	0.07	1.05	0.06
RELB	−1.73	0.21	1.68	0.60	1.87	0.51	−1.13	0.17	1.09	0.20	1.02	0.19
SELE	−1.79	0.25	1.70	0.68	1.92	0.71	1.36	0.24	1.32	0.24	−1.41	0.13
SELP	1.41	0.15	−1.01	0.21	−1.08	0.15	1.08	0.05	1.17	0.06	1.15	0.05
SNAP25	1.05	0.26	1.21	0.22	1.06	0.19	1.59	0.49	1.86	0.58	1.96	0.61
SOD2	−1.05	0.07	−1.08	0.05	−1.00	0.07	−1.03	0.09	1.02	0.10	1.15	0.11
STAT1	1.15	0.14	−1.17	0.09	−1.10	0.10	−1.08	0.04	−1.14	0.04	−1.25	0.03
STAT3	−1.14	0.10	1.03	0.11	1.12	0.13	−1.13	0.06	−1.15	0.05	−1.16	0.05
STAT5B	1.08	0.16	1.33	0.19	1.24	0.15	1.00	0.13	−1.08	0.12	−1.17	0.11
TNF	1.01	0.11	5.10	0.99	12.90	1.72	1.08	0.05	1.17	0.06	1.15	0.05
TNFRSF1B	−1.81	0.16	1.02	0.22	1.11	0.22	−2.15	0.26	4.10	2.28	2.39	1.33
TNFSF10	−1.48	0.17	1.11	0.21	−1.02	0.18	−1.61	0.23	2.81	1.06	1.64	0.62
TP53	1.13	0.02	1.39	0.04	1.67	0.08	−1.14	0.02	−1.02	0.02	−1.04	0.02
TRAF2	1.06	0.11	1.04	0.09	1.12	0.10	1.10	0.05	−1.10	0.04	−1.03	0.04
VCAM1	−1.27	0.20	4.24	1.56	2.94	0.87	1.08	0.05	1.17	0.06	1.15	0.05
XIAP	−1.07	0.11	−1.18	0.09	−1.23	0.07	−1.13	0.11	−1.17	0.10	−1.27	0.10
ACTB	1.12	0.10	−1.16	0.08	−1.08	0.07	1.21	0.17	1.08	0.16	−1.04	0.14
B2M	−1.05	0.07	1.29	0.14	1.29	0.09	−1.09	0.04	−1.06	0.04	1.08	0.04
GAPDH	−1.14	0.04	−1.03	0.04	−1.10	0.05	1.03	0.05	−1.06	0.05	−1.17	0.04
HPRT1	1.04	0.04	1.01	0.03	−1.02	0.04	−1.08	0.12	1.10	0.14	1.21	0.16
RPLP0	1.06	0.05	1.03	0.07	1.01	0.05	1.01	0.05	1.00	0.05	−1.01	0.05

Table A6.

Relative gene expression in HEK-pNF-κB-d2EGFP/Neo L2 (HEK wt) and HEK shRNA RelA (RelA k.d.) cells after irradiation using the RT2 Profiler PCR array: Ti ions.

	HEK wt				RelA k.d.
	0.5 Gy		4 Gy		0.5 Gy		4 Gy
Symbol	µ	SE	µ	SE	µ	SE	µ	SE
ADM	−1.44	0.08	1.14	0.13	1.22	0.24	1.24	0.24
AGT	−1.88	0.16	−1.48	0.21	−1.36	0.08	1.11	0.13
AKT1	−1.01	0.05	1.11	0.06	−1.11	0.14	−1.16	0.13
ALDH3A2	−1.05	0.03	−1.16	0.03	1.08	0.04	−1.15	0.04
BCL2A1	−1.21	0.13	1.04	0.17	1.12	0.15	−1.23	0.11
BCL2L1	1.17	0.13	−1.16	0.10	1.36	0.10	−1.68	0.04
BIRC2	1.08	0.07	1.06	0.07	1.26	0.12	−1.17	0.08
BIRC3	1.34	0.20	1.66	0.24	1.29	0.30	−1.16	0.20
C3	1.58	0.25	1.03	0.16	−1.46	0.20	−1.99	0.15
CCL11	1.97	0.81	1.10	0.45	1.46	0.45	1.68	0.52
CCL2	1.18	0.11	2.94	0.27	1.57	0.19	2.64	0.31
CCL22	1.24	0.23	1.57	0.29	−1.26	0.04	−1.12	0.04
CCL5	−1.97	0.17	−1.56	0.22	−1.89	0.23	1.22	0.53
CCND1	−1.77	0.11	1.03	0.19	−1.23	0.11	−1.24	0.11
CCR5	−1.02	0.37	−2.13	0.18	1.04	0.19	1.35	0.24
CD40	1.58	0.26	−1.17	0.14	1.15	0.23	−1.30	0.15
CD69	−1.09	0.07	1.16	0.09	−1.26	0.04	−1.12	0.04
CD80	−1.01	0.27	−1.55	0.18	2.03	0.67	−1.53	0.22
CD83	1.25	0.04	4.37	0.14	1.09	0.05	1.42	0.07
CDKN1A	−1.39	0.10	1.21	0.17	−1.35	0.21	−1.07	0.26
CFB	1.01	0.12	1.14	0.14	1.57	0.20	−1.01	0.12
CSF1	−1.15	0.08	1.69	0.15	−1.06	0.02	−1.01	0.02
CSF2	−1.82	0.22	−1.30	0.31	−3.46	0.04	1.48	0.20
CSF2RB	−1.30	0.06	−1.03	0.07	−1.26	0.04	−1.12	0.04
CSF3	−1.44	0.24	−1.44	0.24	1.02	0.19	1.46	0.27
CXCL1	1.01	0.19	7.55	1.44	−1.48	0.05	1.21	0.10
CXCL10	−1.27	0.14	6.70	1.20	−1.30	0.06	−1.15	0.06
CXCL2	1.30	0.22	3.48	0.59	1.11	0.21	1.00	0.19
CXCL9	1.02	0.37	−2.17	0.17	1.14	0.30	−1.66	0.16
EGFR	−1.33	0.07	−1.12	0.09	−1.05	0.10	−1.08	0.10
EGR2	1.17	0.39	−1.66	0.20	1.57	0.41	−1.52	0.17
F3	−1.15	0.10	1.47	0.17	−1.01	0.13	−1.00	0.13
F8	−1.22	0.12	−1.06	0.13	1.19	0.01	−1.01	0.01
FAS	−2.11	0.11	−1.61	0.14	1.14	0.21	1.15	0.21
FASLG	−1.40	0.32	−1.51	0.30	−1.10	0.16	1.15	0.21
GADD45B	−1.06	0.30	2.19	0.69	1.69	0.59	2.06	0.72
ICAM1	−1.57	0.10	−1.64	0.10	1.14	0.14	1.37	0.17
IFNB1	−1.24	0.05	1.02	0.06	−1.26	0.04	−1.12	0.04
IFNG	−1.84	0.16	−1.46	0.20	−1.26	0.04	−1.12	0.04
IL12B	−1.35	0.16	−1.49	0.14	1.25	0.06	1.30	0.06
IL15	−1.32	0.15	1.07	0.22	−1.21	0.04	−1.41	0.03
IL1A	−1.39	0.12	−1.83	0.09	1.57	0.33	−1.40	0.15
IL1B	−1.35	0.07	−1.07	0.09	−1.02	0.10	−1.18	0.08
IL1R2	−1.29	0.22	−1.99	0.14	1.01	0.18	−1.80	0.10
IL1RN	1.24	0.23	1.57	0.29	−1.26	0.04	−1.12	0.04
IL2	−1.62	0.13	−1.28	0.16	−1.26	0.04	−1.12	0.04
IL2RA	1.20	0.20	1.52	0.25	−1.26	0.04	−1.12	0.04
IL4	−1.12	0.28	−1.17	0.26	−1.26	0.13	1.02	0.16
IL6	−1.81	0.15	−1.43	0.20	−1.27	0.08	1.09	0.11
IL8	1.38	0.44	6.10	1.96	−1.26	0.13	1.44	0.23
INS	−1.62	0.12	−1.28	0.15	−1.26	0.04	−1.12	0.04
IRF1	1.06	0.12	2.85	0.33	−1.09	0.08	1.40	0.11
LTA	1.05	0.44	−2.07	0.20	1.28	0.31	−1.39	0.17
LTB	1.16	0.44	−2.18	0.17	1.91	0.62	−1.49	0.22
MAP2K6	−1.17	0.19	−1.63	0.13	1.99	0.48	1.44	0.35
MMP9	1.24	0.07	−1.04	0.06	1.09	0.20	1.07	0.20
MYC	−1.14	0.04	1.21	0.05	1.67	0.29	1.97	0.35
MYD88	−1.05	0.24	−1.25	0.21	−1.35	0.25	−1.10	0.30
NCOA3	−1.18	0.06	1.06	0.08	1.18	0.08	−1.17	0.06
NFKB1	−1.24	0.12	2.09	0.30	1.04	0.03	1.05	0.03
NFKB2	−1.25	0.09	2.52	0.29	−1.02	0.16	1.04	0.17
NFKBIA	−1.11	0.08	3.55	0.31	1.05	0.12	1.47	0.17
NQO1	−1.27	0.09	−1.34	0.08	1.13	0.06	−1.14	0.04
NR4A2	1.09	0.19	1.11	0.19	−1.20	0.14	−1.40	0.12
PDGFB	1.02	0.11	1.28	0.14	−1.26	0.04	−1.12	0.04
PLAU	−1.64	0.10	1.08	0.18	−1.09	0.20	−1.47	0.15
PTGS2	1.39	0.04	2.12	0.06	1.07	0.19	1.01	0.18
REL	1.11	0.15	1.84	0.25	1.02	0.05	−1.17	0.04
RELA	1.17	0.07	1.48	0.08	1.21	0.07	1.15	0.07
RELB	−1.39	0.26	−1.09	0.33	1.01	0.19	−1.20	0.16
SELE	−1.09	0.41	−1.34	0.33	−1.00	0.18	1.06	0.19
SELP	1.01	0.11	1.28	0.13	−1.26	0.04	−1.12	0.04
SNAP25	−1.74	0.14	−2.36	0.10	−1.32	0.24	−1.69	0.18
SOD2	−1.17	0.06	−1.06	0.06	1.24	0.12	1.29	0.13
STAT1	1.19	0.14	1.40	0.17	−1.01	0.04	−1.03	0.04
STAT3	−1.29	0.09	−1.32	0.09	1.11	0.07	−1.08	0.06
STAT5B	−1.16	0.13	−1.18	0.13	−1.14	0.12	−1.40	0.10
TNF	1.08	0.12	6.72	0.76	−1.26	0.04	−1.12	0.04
TNFRSF1B	1.07	0.30	−2.04	0.14	2.88	1.60	−2.65	0.21
TNFSF10	1.06	0.27	−1.65	0.15	1.58	0.60	−2.19	0.17
TP53	−1.03	0.02	1.49	0.03	−1.12	0.02	−1.03	0.02
TRAF2	−1.13	0.09	1.32	0.14	−1.00	0.04	1.15	0.05
VCAM1	−1.77	0.15	−1.10	0.24	−1.26	0.04	−1.12	0.04
XIAP	−1.01	0.12	1.19	0.14	−1.02	0.12	−1.32	0.09
ACTB	1.25	0.11	1.12	0.10	1.19	0.17	1.24	0.18
B2M	−1.08	0.07	−1.01	0.08	−1.06	0.04	−1.07	0.04
GAPDH	−1.02	0.05	−1.12	0.04	1.13	0.05	1.10	0.05
HPRT1	−1.10	0.04	−1.05	0.04	−1.21	0.11	−1.21	0.11
RPLP0	1.01	0.05	1.10	0.05	1.01	0.05	1.01	0.05

Author Contributions

Conceptualization, C.E.H., K.K. and C.B.-K.; Data curation, C.E.H., L.F.S., K.K., S.F. and C.B.-K.; Formal analysis, C.E.H., K.K., C.S. and C.B.-K.; Funding acquisition, C.E.H. and C.B.-K.; Investigation, C.E.H., L.F.S., K.K., A.A.C., B.H., S.D., B.K., S.F., C.S., T.B. and C.B.-K.; Methodology, C.E.H. and K.K.; Project administration, C.E.H. and C.B.-K.; Resources, C.E.H. and C.B.-K.; Supervision, C.E.H. and C.B.-K.; Visualization, C.E.H., L.F.S., K.K., S.F. and C.B.-K.; Writing—original draft, C.E.H. and K.K.; Writing—review and editing, C.B.-K. All authors have approved the submitted version and agree to be personally accountable for the author’s own contributions and for ensuring that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and documented in the literature.

Funding

The project was supported by the DLR grant FuE-Projekt ‘‘ISS LIFE’’ (programm RF-FuW, Teilprogramm 475). The Helmholtz Association and the German Aerospace Center are acknowledged for funding doctoral students of the Helmholtz Space Life Sciences Research School (SpaceLife, grant VH-KO-300) involved in the accelerator experiments. The travel costs to the GANIL were supported in part by the European Union (EURONS). The travel costs to the HIMAC were supported in part by the International Open Laboratory of the National Institute of Radiation Science (NIRS) and National Institutes for Quantum and Radiological Science and Technology (QST), Anagawa, Inageku, in Chiba, Japan.

Conflicts of Interest

The authors declare no conflicts of interest.