ABSTRACT
Radiation-induced gene expression has long been hypothesized to protect against cell death. Defining this process would provide not only insight into the mechanisms mediating cell survival after radiation exposure, but also a novel source of targets for radiosensitization. However, whereas the radiation-induced gene expression profiles using total cellular mRNA have been generated for cell lines as well as normal tissues, with few exception, the changes in mRNA do not correlate with changes in the corresponding protein. The traditional approach to profiling gene expression, i.e., using total cellular RNA, does not take into account posttranscriptional regulation. In this review, we describe the use of gene expression profiling of polysome-bound RNA to establish that radiation modifies gene expression via translational control. Because changes in polysome-bound mRNA correlate with changes in protein, analysis of the translational profiles provides a unique data set for investigating the mechanisms mediating cellular radioresponse.
Radiotherapy remains a major cancer treatment modality, with about two-thirds of patients receiving radiation sometime during their therapy.Citation1,2 Improving the efficacy of radiotherapy is thus likely to have a significant impact on the outcome of cancer treatment in general. Toward this end, one approach is to target the molecules participating in cellular radioresponse, a strategy that depends on the delineation of the fundamental mechanisms involved. The best defined mechanisms mediating eukaryotic cellular radiosensitivity focus on the post-translational modification of constitutively expressed proteins, such as those involved in the repair of DNA damage and the activation of cell cycle checkpoints. However, in prokaryotes it has long been recognized that radiation also modifies gene expression, which is considered a critical component of the adaptive response protecting against cell death.Citation3 If a similar process occurs in eukaryotes, it would provide not only insight into the mechanisms mediating cell survival after radiation exposure, but also a novel source of targets for radiosensitization.
Along these lines, the radiation-induced changes of total cellular mRNA levels (i.e., the transcriptome) have been extensively cataloged using single gene and whole genome approaches. Radiation-induced gene expression profiles have been generated for a variety of cell lines as well as normal tissues as a function of dose and time after irradiation.4-7 Although genes associated with potentially relevant pathways and processes have been identified, interpreting the significance of radiation-induced gene expression has been limited by 2 major factors. First, the changes in gene expression detected after irradiation are primarily cell line-dependent, even between lines isolated from the same tissue.8-11 This suggests that radiation-induced gene expression is highly dependent on the individual cell genotype, as opposed to the tissue of origin or tumor type.Citation12 The second and probably the most important barrier to understanding the significance of radiation-induced gene expression is that changes in mRNA levels, with few exceptions,Citation13,14 do not reflect changes in the corresponding protein. This disconnect between mRNA and protein levels in irradiated cells was directly addressed by Szkanderova et al. who found no correlation between 10 proteins induced in L929 cells by radiation and their corresponding mRNAs.Citation15 Consistent with an unclear significance of the radiation-induced transcriptome, work in yeast showed that genes transcriptionally upregulated by radiation had little to no effect on cell survival.Citation16
The discrepancy between radiation-induced changes in mRNAs and their corresponding proteins is similar to that observed after other forms of stress, a situation attributed to the translational control of gene expression.Citation17,18 In 2003, Rajasekhar et al. reported that Ras and Akt, which are implicated in the regulation of cellular radiosensitivity, influenced the recruitment of existing mRNAs to polysomes, suggesting that these 2 proteins participate in translational control.Citation19 To directly test the role of translational control in the cellular radioresponse, Lü et al. used microarray analysis to identify changes in polysome-bound mRNA after irradiation of the U87 glioblastoma (GBM) cell line.Citation11 For comparison to the traditional approach of investigating radiation-induced gene expression, microarray analysis was also performed under the same treatment conditions using total cellular RNA. Comparison of the radiation-induced changes in polysome-bound mRNA (i.e., the translatome) to those detected when analyzing total cellular mRNA (i.e., the transcriptome) revealed that radiation affected substantially more genes (approximately 10-fold) in the translatome than in the transcriptome, with no genes in common between the data sets. For genes in the radiation-induced translatome, northern blot analyses showed corresponding changes in their monosome/polysome distributions, consistent with radiation affecting the translation of pre-existing mRNAs. Moreover, in contrast to the transcriptome, the radiation-induced changes in the translatome were strongly correlated with changes in protein. Thus, this initial study suggested that radiation does modify gene expression and does so at the level of translational control.
In general, to identify genes subject to translational control it is necessary to perform parallel analyses of total cellular RNA (or cytoplasmic RNA) and polysome-bound RNA; those genes whose levels were affected in the polysome-bound RNA and not in the total RNA can then be considered under translational control. With respect to radiation, there was little to no overlap in the genes affected in the analysis of total RNA versus polysome-bound RNA,Citation11,20 suggesting that transcriptional and translational regulation are not coordinated events after irradiation. However, transcription-based events can ultimately influence gene translation, which can complicate the investigations of translational control. To reduce the potential for such secondary effects on translation, polysome analysis is performed at relatively short time points of 6h or less after treatment.Citation21
In addition to polysome analysis, changes in mRNA translation can be determined using ribosome profiling, which involves the deep sequencing of ribosome-protected mRNA fragments. In essence, this method determines the number of ribosomes associated with an mRNA as well as the ribosome position. In contrast to polysome profiling, ribosome profiling can be used to distinguish between initiation and elongation events and is less sensitive to mRNA stability issues due to the degradation of unprotected mRNA and short length of the remaining mRNA fragment. Polysome profiling involves separating ribosome-associated mRNAs on a sucrose gradient based on the number of ribosomes attached with ribosome association indicating actively translated messages, followed by either microarray or RNA-Seq analyses.Citation22,23 This method allows monitoring of the entire transcript, which can provide information about translation rates of alternative transcripts. Polysome profiling also distinguishes a decrease in the number of ribosomes along all copies of an mRNA from a decrease in ribosomes bound to a subpopulation of mRNAs, allowing it to better predict changes in protein synthesis.Citation22,24
If the radiation-induced translational control of gene expression plays a role in determining radiosensitivity/resistance, then in contrast to changes in the transcriptome, some degree of commonly affected genes among cell lines would be expected. This was the case for GBM cell lines; about 30% of the genes in the radiation-induced translatomes were in common among the 3 lines.Citation11 A more extensive comparison of radiation-induced translatomes was performed by Kumaraswamy et al. in which 18 human cell lines were analyzed, including 4 tumor histologies typically treated with radiotherapy (GBM, pancreatic carcinoma, breast carcinoma, and lung carcinoma) as well as 4 normal human cell lines.Citation25 Hierarchical cluster analysis showed that glioma and pancreatic cell lines clustered according to tumor type with breast and lung tumor cell lines being considerably more heterogeneous and clustering together. The normal cell lines (1 skin fibroblast, 2 lung fibroblasts and 1 mammary epithelial) displayed extensive homogeneity forming a definitive cluster distinct from the tumor cells. Although there were clearly cell line-specific effects, each histology contained a significant number of commonly affected genes.
Tumor type selectivity in radiation-induced gene expression could have a number of implications. If gene expression influences tumor cell radioresistance, then the optimal preclinical development of targets for radiosensitizers should take into consideration tumor type. In addition, independent of whether the induced changes in gene expression directly contribute to radiosensitivity, its tissue type dependency may provide a source of biomarkers indicative of radiation exposure during cancer treatment as well as under other environmental circumstances. Finally, as shown,Citation25 there appears to be a distinct difference between cancer and normal cells in terms of radiation-induced gene expression. The distinctly different gene sets and overall greater degree of homogeneity among the normal cell lines suggest that the translational control of gene expression may provide the basis for a long sought goal in radiation oncology: the identification of tumor specific targets for radiosensitizers.
Glioblastoma-stem-like cells
Whereas initial studies showed that the translational control of gene expression occurs after irradiation, how this process specifically participates in cellular radioresponse remained to be defined. Toward this end, we focused on a panel of glioblastoma stem-like cell (GSC) lines. The rationale for investigating this cell type was 2-fold: radiotherapy remains a primary treatment modality for GBM and, whereas the biology of standard glioma cell lines has little in common with GBM in situ, GSCs are considered to be a subpopulation of tumor cells critical to GBM radioresistance.Citation26,27 To identify the genes subject to radiation-induced translational control in GSCs, microarray analysis of RNA bound to polysomes was performed on 3 GSC lines (NSC11, 0923 and GBMJ1) after exposure to the clinically relevant dose of 2Gy. As shown in , absorption profiles of sucrose-gradients generated from cells collected at 1h and 6h after exposure to 2Gy were similar to that of untreated cells, illustrating that radiation does not significantly alter global translation. Radiation, however, did affect (increase or decrease) the polysome association of greater than 1000 specific transcripts in each of the GSC lines, indicating that radiation selectively regulates gene translation in GSCs. As for results from established cell lines, comparison of the radiation-induced translatomes (polysome-bound RNA) and transcriptomes (total cellular RNA) from each of the GSCs revealed few commonly affected genes, consistent with translational control as the primary mode through which radiation modifies gene expression.
To begin to address the functional consequences of the translational control of gene expression, the GSC radiation-induced translatomes were subjected to network, pathway and function analyses using IPA and GSEA. First, as an approach to evaluating the potential for translational control to identify tumor specific processes regulating radiosensitivity, the common GSC translatome was compare with those generated from the normal astrocytes and pericytes after exposure to 2Gy. As shown by the Venn diagram in A, although the radiation-induced translatomes from the normal CNS cells had a number of genes in common with the GSCs, the majority of the genes affected by radiation in normal CNS cells were unique to the specific cell type. Hierarchical clustering of normalized enrichment scores of GO terms showed that the normal CNS lines were more similar to each other than to individual GSCs (B). Thus, for these CNS phenotypes, the data presented in are consistent with tumor specific aspects in radiation-induced translational control of gene expression.
The GSC translatomes revealed cell line specific changes as well as a significant number of genes whose translation was affected in more than one of the GSC lines, referred to as the common translatome. A number of pathways detected in the common radiation-induced translatome were associated with the DNA damage response, a critical determinant of radiosensitivity. Enhancing the translation of genes involved in DNA repair and cell cycle checkpoints suggests a critical role for translational control in protecting against radiation-induced cell death. Support for such a role for the translational control of gene expression in the DNA damage response comes from studies using the mTOR inhibitor INK128, which significantly reduces overall translation.Citation28 Treatment of GSCs with INK128 inhibits the repair of radiation-induced DNA double strand breaks and enhances radiation-induced cell death.Citation20 Of note, in these experiments INK128 was added after irradiation, consistent with inhibiting a radiation-induced process such as translational control. INK128 was also shown to inhibit DNA repair and enhance radiosensitivity when added after irradiation to a panel of pancreatic tumor cell lines. Moreover, exposure of the PSN1 pancreatic cell line to INK128 dramatically reduced the number of genes in the radiation-induced translatome, including those involved in the DNA damage response.Citation29 The results gathered from a number of tumor cell lines thus suggest that the translational control of gene expression plays a role in DNA repair and cell survival. More specifically, these results suggest that mTOR can serve as a clinically relevant target for tumor radiosensitization.
Further analyses of the common radiation-induced GSC translatome revealed the activation of additional processes not traditionally associated with radioresponse. Upstream signaling analysis identified 23 genes linked to the activation of mTOR and eIF4E. Given that eIF4E is a critical component of eIF4F and that mTOR regulates the availability of eIF4E, this analysis suggested that radiation enhances cap-dependent translation. Testing this scenario, radiation was found to increase eIF4F-cap complex formation in each of the GSCs evaluated, consistent with an increase in cap-dependent translation, which was eliminated by INK128. Because the majority of mRNA translation occurs in a cap-dependent manner, its modification would seem a reasonable event in radiation-induced translational control. However, whereas cap-complex formation was increased in GSC lines after irradiation, it has been reported to be reduced in a normal fibroblast cell lineCitation30 and unaffected in a breast tumor cell line.Citation31 Thus, the significance of elevated cap-complex formation in translational control after irradiation is unclear. Cap-complex formation is one of the last and a rate-limiting event in gene translation and can be affected by each of the upstream components of post-transcriptional regulatory process.Citation32 Because mTOR kinase inhibitors reduce translation in general,Citation33 it may be that a basal level of translation is required for radiation-induced translational control of gene expression and that variations in cap-binding are more likely to influence the specific genes affected.
The common radiation-induced GSC translatome was also enriched in GO terms associated with Golgi function. Of interest, Farber-Katz et al. reported that DNA damaging agents, including radiation, induce a change in Golgi morphology reflected by a change in the distribution of the protein GM130 from perinuclear to more fragmented and cytoplasmic, referred to as Golgi dispersal.Citation34 As suggested by the GSC translatome analyses and consistent with data generated from a variety of established cell lines, Golgi dispersal was detected after irradiation of GSCs. However, the initial report by Farber-Katz et al. indicated that radiation-induced Golgi dispersal was the result of an interaction of DNA-PK with specific Golgi proteins.Citation34 In GSCs the radiation-induced Golgi dispersal was prevented by the mTOR inhibitor INK128, suggesting a requirement for cap-dependent translation and consistent with the radiation-induced translational control of gene expression. Whether radiation-induced Golgi dispersal is the result of more than one process that is cell type specific or the 2 apparently different mechanisms are related in some manner remains to be determined. Regardless of the mechanisms involved, the role of Golgi dispersal in cell survival after irradiation remains to be clearly defined.
In addition to common components of GSC radioresponse, analyses of the individual radiation-induced translatomes identified cell line-specific responses with the most apparent being mitochondrial structure and function. Specifically, translatome analyses predicted that mitochondria function after irradiation would increase in NSC11, decrease in 0923 cells and not be affected in GBMJ1 cells. These predicted changes after irradiation were validated according to analysis of mitochondria mass and mitochondrial DNA content after GSC irradiation. Mitochondrial parameters after irradiation have been the subject of a number of studies and appear to be cell line dependent with increases, decreases and no effects being reported.Citation35-38 Whereas most studies address the radiation-induced damage to nuclear DNA, it can also induce detectable damage in mitochondrial DNA (mtDNA),Citation38,39 resulting in oxidative stress and altering mitochondrial function.Citation40,41 An increase in mitochondrial content, which can result from an increase in mitochondrial volume or number, has been suggested to be compensatory mechanism aimed at maintaining mitochondrial function.42-44 Although the role of mitochondrial function in radioresponse has not been defined, the results of polysome profiling suggest that it is at least partially regulated by translational control and is cell line-dependent.
Mechanisms
Data generated to date indicate that the radiation-induced translational control of gene expression is a fundamental component of cellular radioresponse. Although further investigation is clearly required, it appears that the mechanisms mediating translational control after irradiation are consistent with the post-transcriptional operon model initially put forth by Keene and Tenenbaum.Citation45,46 This model proposes that post-transcriptional regulation of gene expression is mediated by mRNA binding proteins (RBPs) that bind to sequence specific elements in common among functionally related mRNAs. More specifically, RBPs act in a combinatorial manner to regulate the splicing, nuclear export, stability, and translation initiation of functionally related transcripts.Citation45,46 Of particular relevance to the radiation-induced translatome, given that there is little in common with the radiation-induced transcriptome,Citation11,20 is that many RBPs regulate translation at the initiation step by promoting or inhibiting proper cap-binding complex formation of a given transcript, which can involve either directly or indirectly recruiting additional proteins.Citation47,48 and/or by influencing transcript stability.Citation49-51
A role for RBPs in radiation-induced translational control is directly supported by studies linking their transcript interactions to ATM and DNA-PK, apical kinases in the radiation-induced DNA damage response. Along these lines, a number of reports have focused on Human antigen R (HuR), which binds to adenylate-uridylate-rich elements (AREs) in the 3’ UTRs of transcripts and regulates several aspects of post-transcriptional gene expression, including mRNA stability, translation, and splicing.Citation52 Activation of ATM in response to DNA double strand breaks leads to the phosphorylation of CHK2 (among other proteins), which then phosphorylates HuR.Citation53 Using a ribonucleoprotein immunoprecipitation assay followed by microarray analysis, Mazan-Mamczarz et al. showed that irradiation of lymphocytes altered the mRNAs bound to HuR 6h after 1Gy.Citation54 Transcripts that increased binding with HuR after irradiation were more actively translated; transcripts that decreased binding to HuR were more translationally suppressed. Importantly, these changes in translation were not observed in ATM-null cells. Masuda et al. followed a similar approach using HCT116 colorectal adenocarcinoma cells and found that HuR dissociated from most of its transcripts 30 minutes after 10 Gy. Linking this process to ATM, in CHK2 null HCT116 cells HuR was not phosphorylated after irradiation and remained associated with most of its transcripts.Citation55 As observed in lymphocytes, HuR modified radiation-induced gene expression at the translational level. Using clonogenic survival analysis, Masuda et al. went on to show that dissociation of HuR from its mRNA clients enhanced radiation-induced cell killing, illustrating the functional relevance of this pathway. Thus, data suggest that one aspect to radiation-induced translational control involves the ATM-mediated activation of HuR.
In addition to HuR, ATM and/or DNA-PK have been reported to phosphorylate the RBPs FUS,Citation56-58 hnRNP C and hnRNP A1.Citation59,60 Interestingly, data from GSCs shows that a number of RBPs themselves, including members of the hnRNP family, are translationally regulated in response to radiation, adding another layer of post-transcriptional regulation to radiation-induced gene expression.Citation20 As an approach to defining the RBPs participating in radiation-induced translational control, we are currently analyzing the 3′ and 5′ untranslated regions (UTRs) of the radiation-induced translatome of GSCs in an attempt to identify enriched sequence motifs. A study utilizing stable isotope labeling by amino acids in cell culture (SILAC) identified hundreds of ATM targets,Citation61 with one network associated with RNA post-transcriptional modificationCitation61; whereas not as thoroughly investigated, DNA-PK also has a number of known and likely unidentified substrates.Citation62 Given the critical role of ATM and DNA-PK in regulating overall cellular radioresponse, it would seem that they could influence additional RBPs and other proteins involved in translation to play a significant role in the radiation-induced post-transcriptional control of gene expression. However, it is likely that other signaling molecules are involved, which will then influence the activity of additional RBPs. For example, as compare with their wild type proteins, p53 and mutant K-Ras have been reported to modify translational gene expression profiles.Citation63,64 Because both proteins participate in signaling pathways that influence cellular radioresponse, they may also play a role in mediating radiation-induced translational control. The putative involvement of multiple signaling molecules along with the combinatorial actions of RBPs would seem to account for the number of genes subject to radiation-induced translational control as well as the differences between tumor and normal cells. Clearly, considerable research is required to define the molecules and processes mediating radiation-induced translational control. However, initial studies suggest that understanding how radiation impacts gene expression will offer novel insight into the cellular radioresponse and may provide opportunities to improve its therapeutic efficacy.
Disclosure of potential conflicts of interest
No potential conflicts of interest were disclosed.
Funding
Financial support has been provided by the Division of Basic Sciences, Intramural Program, National Cancer Institute (Z1ABC011372, Z1ABC011373)
References
- Liauw SL, Connell PP, Weichselbaum RR. New Paradigms and future challenges in radiation oncology: An update of biological targets and technology. Sci Translational Med 2013; 5(173); PMID:23427246; https://doi.org/10.1126/scitranslmed.3005148
- Berkey FJ. Managing the adverse effects of radiation therapy. Am Family Physician 2010; 82(4):381–388
- Baharoglu Z, Mazel D. SOS, the formidable strategy of bacteria against aggressions. Fems Microbiol Rev 2014; 38(6):1126–1145; PMID:24923554; https://doi.org/10.1111/1574-6976.12077
- Otomo T, Hishii M, Arai H, Sato K, Sasai K. Microarray analysis of temporal gene responses to ionizing radiation in two glioblastoma cell lines: up-regulation of DNA repair genes. J Radiat Res 2004; 45(1):53–60; PMID:15133290; https://doi.org/10.1269/jrr.45.53
- Guo WF, Lin RX, Huang J, Zhou Z, Yang J, Guo GZ, Wang SQ. Identification of differentially expressed genes contributing to radioresistance in lung cancer cells using microarray analysis. Radiation Res 2005; 164(1):27–35; PMID:15966762; https://doi.org/10.1667/RR3401
- Ding LH, Shingyoji M, Chen FQ, Hwang JJ, Burma S, Lee C, Cheng JF, Chen DJ. Gene expression profiles of normal human fibroblasts after exposure to ionizing radiation: A comparative study of low and high doses. Radiation Res 2005; 164(1):17–26; PMID:15966761; https://doi.org/10.1667/RR3354
- Long XH, Zhao ZQ, He XP, Wang HP, Xu QZ, An J, Bai B, Sui JL, Zhou PK. Dose-dependent expression changes of early response genes to ionizing radiation in human lymphoblastoid cells. Int J Mol Med 2007; 19(4):607–615; PMID:17334636
- Camphausen K, Purow B, Sproull M, Scott T, Ozawa T, Deen DF, Tofilon PJ. Orthotopic growth of human glioma cells quantitatively and qualitatively influences radiation-induced changes in gene expression. Cancer Res 2005; 65(22):10389–93; PMID:16288029; https://doi.org/10.1158/0008-5472.CAN-05-1904
- Khodarev NN, Park JO, Yu J, Gupta N, Nodzenski E, Roizman B, Weichselbaum RR. Dose-dependent and independent temporal patterns of gene responses to ionizing radiation in normal and tumor cells and tumor xenografts. Proc Natl Acad Sci U S A 2001; 98(22):12665–70; PMID:11675498; https://doi.org/10.1073/pnas.211443698
- Amundson SA, Do KT, Vinikoor LC, Lee RA, Koch-Paiz CA, Ahn J, Reimers M, Chen Y, Scudiero DA, Weinstein JN, et al. Integrating global gene expression and radiation survival parameters across the 60 cell lines of the National Cancer Institute Anticancer Drug Screen. Cancer Res 2008; 68(2):415–24; PMID:18199535; https://doi.org/10.1158/0008-5472.CAN-07-2120
- Lu X, de la Pena L, Barker C, Camphausen K, Tofilon PJ. Radiation-induced changes in gene expression involve recruitment of existing messenger RNAs to and away from polysomes. Cancer Res 2006; 66(2):1052–61; PMID:16424041; https://doi.org/10.1158/0008-5472.CAN-05-3459
- Amundson SA, Bittner M, Chen Y,Trent J, Meltzer P,Fornace AJ, Jr. Fluorescent cDNA microarray hybridization reveals complexity and heterogeneity of cellular genotoxic stress responses. Oncogene 1999; 18(24):3666–72; PMID:10380890; https://doi.org/10.1038/sj.onc.1202676
- Azzam EI, de Toledo SM, Little JB. Expression of CONNEXIN43 is highly sensitive to ionizing radiation and other environmental stresses. Cancer Res 2003; 63(21):7128–7135; PMID:14612506
- Liu QJ, Zhang DQ, Zhang QZ, Feng JB, Lu X, Wang XR, Li KP, Chen DQ, Mu XF, Li S, et al. Dose-effect of ionizing radiation-induced PIG3 gene expression alteration in human lymphoblastoid AHH-1 cells and human peripheral blood lymphocytes. Int J Radiat Biol 2015; 91(1):71–80; PMID:24991881; https://doi.org/10.3109/09553002.2014.938374
- Szkanderova S, Port M, Stulik J, Hernychova L, Kasalova I, Van Beuningen D, Abend M. Comparison of the abundance of 10 radiation-induced proteins with their differential gene expression in L929 cells. Int J Radiat Biol 2003; 79(8):623–33; PMID:14555345; https://doi.org/10.1080/09553000310001606821
- Birrell GW, Brown JA, Wu HI, Giaever G, Chu AM, Davis RW, Brown JM. Transcriptional response of Saccharomyces cerevisiae to DNA-damaging agents does not identify the genes that protect against these agents. Proc Natl Acad Sci U S A 2002; 99(13):8778–83; PMID:12077312; https://doi.org/10.1073/pnas.132275199
- Harding HP, Novoa I, Zhang YH, Zeng HQ, Wek R, Schapira M, Ron D. Regulated translation initiation controls stress-induced gene expression in mammalian cells. Mol Cell 2000; 6(5):1099–1108; PMID:11106749; https://doi.org/10.1016/S1097-2765(00)00108-8
- Pradet-Balade B, Boulme F, Beug H, Mullner EW, Garcia-Sanz JA. Translation control: bridging the gap between genomics and proteomics? Trends Biochem Sci 2001; 26(4):225–229; PMID:11295554; https://doi.org/10.1016/S0968-0004(00)01776-X
- Rajasekhar VK, Viale A, Socci ND, Wiedmann M, Hu X, Holland EC. Oncogenic Ras and Akt signaling contribute to glioblastoma formation by differential recruitment of existing mRNAs to polysomes. Mol Cell 2003; 12(4):889–901; PMID:14580340; https://doi.org/10.1016/S1097-2765(03)00395-2
- Wahba A, Rath BH, Bisht K, Camphausen K, Tofilon PJ. Polysome profiling links translational control to the radioresponse of glioblastoma stem-like cells. Cancer Res 2016; 76:3078–87; PMID:27005284
- Mamane Y, Petroulakis E, Martineau Y, Sato TA, Larsson O, Rajasekhar VK, Sonenberg N. Epigenetic activation of a subset of mRNAs by eIF4E explains its effects on cell proliferation. PLoS One 2007; 2(2):e242; PMID:17311107; https://doi.org/10.1371/journal.pone.0000242
- Ingolia NT, Brar GA, Rouskin S, McGeachy AM, Weissman JS. The ribosome profiling strategy for monitoring translation in vivo by deep sequencing of ribosome-protected mRNA fragments. Nat Protoc 2012; 7(8):1534–50; PMID:22836135; https://doi.org/10.1038/nprot.2012.086
- King HA, Gerber AP. Translatome profiling: methods for genome-scale analysis of mRNA translation. Brief Funct Genomics 2016; 15(1):22–31; PMID:25380596
- Wang T, Cui Y, Jin J, Guo J, Wang G, Yin X, He QY, Zhang G. Translating mRNAs strongly correlate to proteins in a multivariate manner and their translation ratios are phenotype specific. Nucleic Acids Res 2013; 41(9):4743–54; PMID:23519614; https://doi.org/10.1093/nar/gkt178
- Kumaraswamy S, Chinnaiyan P, Shankavaram UT, Lu X, Camphausen K, Tofilon PJ. Radiation-induced gene translation profiles reveal tumor type and cancer-specific components. Cancer Res 2008; 68(10):3819–26; PMID:18483266; https://doi.org/10.1158/0008-5472.CAN-08-0016
- Bao S, Wu Q, McLendon RE, Hao Y, Shi Q, Hjelmeland AB, Dewhirst MW, Bigner DD, Rich JN. Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature 2006; 444(7120):756–60; PMID:17051156; https://doi.org/10.1038/nature05236
- Jamal M, Rath BH, Williams ES, Camphausen K, Tofilon PJ. Microenvironmental regulation of glioblastoma radioresponse. Clin Cancer Res 2010; 16(24):6049–59; PMID:21037023; https://doi.org/10.1158/1078-0432.CCR-10-2435
- Hsieh AC, Liu Y, Edlind MP, Ingolia NT, Janes MR, Sher A, Shi EY, Stumpf CR, Christensen C, Bonham MJ, et al. The translational landscape of mTOR signalling steers cancer initiation and metastasis. Nature 2012; 485(7396):55–61; PMID:22367541; https://doi.org/10.1038/nature10912
- Hayman TJ, Wahba A, Rath BH, Bae H, Kramp T, Shankavaram UT, Camphausen K, Tofilon PJ. The ATP-competitive mTOR inhibitor INK128 enhances in vitro and in vivo radiosensitivity of pancreatic carcinoma cells. Clin Cancer Res 2014; 20(1):110–9; PMID:24198241; https://doi.org/10.1158/1078-0432.CCR-13-2136
- Trivigno D, Bornes L, Huber SM, Rudner J. Regulation of protein translation initiation in response to ionizing radiation. Radiat Oncol 2013; 8:35; PMID:23402580; https://doi.org/10.1186/1748-717X-8-35
- Hayman TJ, Williams ES, Jamal M, Shankavaram UT, Camphausen K, Tofilon PJ. Translation initiation factor eIF4E is a target for tumor cell radiosensitization. Cancer Res 2012; 72(9):2362–72; PMID:22397984; https://doi.org/10.1158/0008-5472.CAN-12-0329
- Graff JR, Konicek BW, Carter JH, Marcusson EG. Targeting the eukaryotic translation initiation factor 4E for cancer therapy. Cancer Res 2008; 68(3):631–4; PMID:18245460; https://doi.org/10.1158/0008-5472.CAN-07-5635
- Mazan-Mamczarz K, Peroutka RJ, Steinhardt JJ, Gidoni M, Zhang Y, Lehrmann E, Landon AL, Dai B, Houng S, Muniandy PA, et al. Distinct inhibitory effects on mTOR signaling by ethanol and INK128 in diffuse large B-cell lymphoma. Cell Commun Signal 2015; 13:15; PMID:25849580; https://doi.org/10.1186/s12964-015-0091-0
- Farber-Katz SE, Dippold HC, Buschman MD, Peterman MC, Xing M, Noakes CJ, Tat J, Ng MM, Rahajeng J, Cowan DM, et al. DNA damage triggers Golgi dispersal via DNA-PK and GOLPH3. Cell 2014; 156(3):4413–27; PMID:24485452; https://doi.org/10.1016/j.cell.2013.12.023
- Barjaktarovic Z, Schmaltz D, Shyla A, Azimzadeh O, Schulz S, Haagen J, Dorr W, Sarioglu H, Schafer A, Atkinson MJ, et al. Radiation-induced signaling results in mitochondrial impairment in mouse heart at 4 weeks after exposure to X-rays. PLoS One 2011; 6(12):e27811; PMID:22174747; https://doi.org/10.1371/journal.pone.0027811
- Bartoletti-Stella A, Mariani E, Kurelac I, Maresca A, Caratozzolo MF, Iommarini L, Carelli V, Eusebi LH, Guido A, Cenacchi G, et al. Gamma rays induce a p53-independent mitochondrial biogenesis that is counter-regulated by HIF1alpha. Cell Death Dis 2013; 4:e663; PMID:23764844; https://doi.org/10.1038/cddis.2013.187
- Yamamori T, Yasui H, Yamazumi M, Wada Y, Nakamura Y, Nakamura H, Inanami O. Ionizing radiation induces mitochondrial reactive oxygen species production accompanied by upregulation of mitochondrial electron transport chain function and mitochondrial content under control of the cell cycle checkpoint. Free Radic Biol Med 2012; 53(2):260–70; PMID:22580337; https://doi.org/10.1016/j.freeradbiomed.2012.04.033
- Yoshida T, Goto S, Kawakatsu M, Urata Y, Li TS. Mitochondrial dysfunction, a probable cause of persistent oxidative stress after exposure to ionizing radiation. Free Radic Res 2012; 46(2):147–53; PMID:22126415; https://doi.org/10.3109/10715762.2011.645207
- May A, Bohr VA. Gene-specific repair of gamma-ray-induced DNA strand breaks in colon cancer cells: no coupling to transcription and no removal from the mitochondrial genome. Biochem Biophys Res Commun 2000; 269(2):433–7; PMID:10708571; https://doi.org/10.1006/bbrc.2000.2264
- Azimzadeh O, Scherthan H, Sarioglu H, Barjaktarovic Z, Conrad M, Vogt A, Calzada-Wack J, Neff F, Aubele M, Buske C, et al. Rapid proteomic remodeling of cardiac tissue caused by total body ionizing radiation. Proteomics 2011; 11(16):3299–311; PMID:21751382; https://doi.org/10.1002/pmic.201100178
- Azzam EI, Jay-Gerin JP, Pain D. Ionizing radiation-induced metabolic oxidative stress and prolonged cell injury. Cancer Lett 2012; 327(1-2):48–60; PMID:22182453; https://doi.org/10.1016/j.canlet.2011.12.012
- Nugent S, Mothersill CE, Seymour C, McClean B, Lyng FM, Murphy JE. Altered mitochondrial function and genome frequency post exposure to γ-radiation and bystander factors. Int J Radiat Biol 2010; 86(10):829–41; PMID:20854104; https://doi.org/10.3109/09553002.2010.486019
- Okunieff P, Swarts S, Keng P, Sun W, Wang W, Kim J, Yang S, Zhang H, Liu C, Williams JP, et al. Antioxidants reduce consequences of radiation exposure. Adv Exp Med Biol 2008; 614:165–78; PMID:18290327; https://doi.org/10.1007/978-0-387-74911-2_20
- Rogounovitch TI, Saenko VA, Shimizu-Yoshida Y, Abrosimov AY, Lushnikov EF, Roumiantsev PO, Ohtsuru A, Namba H, Tsyb AF, Yamashita S. Large deletions in mitochondrial DNA in radiation-associated human thyroid tumors. Cancer Res 2002; 62(23):7031–41; PMID:12460924
- Keene JD. RNA regulons: coordination of post-transcriptional events. Nat Rev Genet 2007; 8(7):533–43; PMID:17572691; https://doi.org/10.1038/nrg2111
- Keene JD, Tenenbaum SA. Eukaryotic mRNPs may represent posttranscriptional operons. Mol Cell 2002; 9(6):1161–7; PMID:12086614; https://doi.org/10.1016/S1097-2765(02)00559-2
- Szostak E, Gebauer F. Translational control by 3'-UTR-binding proteins. Brief Funct Genomics 2013; 12(1):58–65; PMID:23196851; https://doi.org/10.1093/bfgp/els056
- Howard JM, Sanford JR. The RNAissance family: SR proteins as multifaceted regulators of gene expression. Wiley Interdisciplinary Rev Rna 2015; 6(1):93–110; PMID:25155147; https://doi.org/10.1002/wrna.1260
- Newbury SF. Control of mRNA stability in eukaryotes. Biochem Society Transactions 2006; 34:30–34; PMID:16246172; https://doi.org/10.1042/BST0340030
- Roy B, Jacobson A. The intimate relationships of mRNA decay and translation. Trends Genetics 2013; 29(12):691–699; PMID:24091060; https://doi.org/10.1016/j.tig.2013.09.002
- Bolognani F, Perrone-Bizzozero NI. RNA-protein interactions and control of mRNA stability in neurons. J Neurosci Res 2008; 86(3):481–489; PMID:17853436; https://doi.org/10.1002/jnr.21473
- Zucal C, D'Agostino V, Loffredo R, Mantelli B, Natthakan Thongon, Lal P, Latorre E, Provenzani A. Targeting the multifaceted HuR protein, benefits and caveats. Curr Drug Targets 2015; 16(5):499–515; PMID:25706256; https://doi.org/10.2174/1389450116666150223163632
- Kim HH, Abdelmohsen K, Gorospe M. Regulation of HuR by DNA Damage Response Kinases. J Nucleic Acids 2010; 2010: e981487, 8 pp; PMID:20798862; https://doi.org/10.4061/2010/981487
- Mazan-Mamczarz K, Hagner PR, Zhang YQ, Dai BJ, Lehrmann E, Becker KG, Keene JD, Gorospe M, Liu ZQ, Gartenhaus RB. ATM regulates a DNA damage response posttranscriptional RNA operon in lymphocytes. Blood 2011; 117(8):2441–2450; PMID:21209379; https://doi.org/10.1182/blood-2010-09-310987
- Masuda K, Abdelmohsen K, Kim MM, Srikantan S, Lee EK, Tominaga K, Selimyan R, Martindale JL, Yang X, Lehrmann E, et al. Global dissociation of HuR-mRNA complexes promotes cell survival after ionizing radiation. EMBO J 2011; 30(6):1040–53; PMID:21317874; https://doi.org/10.1038/emboj.2011.24
- Deng Q, Holler CJ, Taylor G, Hudson KF, Watkins W, Gearing M, Ito D, Murray ME, Dickson DW, Seyfried NT, et al. FUS is phosphorylated by DNA-PK and accumulates in the cytoplasm after DNA damage. J Neurosci 2014; 34(23):7802–13; PMID:24899704; https://doi.org/10.1523/JNEUROSCI.0172-14.2014
- Gardiner M, Toth R, Vandermoere F, Morrice NA, Rouse J. Identification and characterization of FUS/TLS as a new target of ATM. Biochem J 2008; 415(2):297–307; PMID:18620545; https://doi.org/10.1042/BJ20081135
- Yasuda K, Zhang H, Loiselle D, Haystead T, Macara IG, Mili S. The RNA-binding protein Fus directs translation of localized mRNAs in APC-RNP granules. J Cell Biol 2013; 203(5):737–46; PMID:24297750; https://doi.org/10.1083/jcb.201306058
- Chaudhury A, Chander P, Howe PH. Heterogeneous nuclear ribonucleoproteins (hnRNPs) in cellular processes: Focus on hnRNP E1s multifunctional regulatory roles. RNA 2010; 16(8):1449–62; PMID:20584894; https://doi.org/10.1261/rna.2254110
- Zhang S, Schlott B, Gorlach M, Grosse F. DNA-dependent protein kinase (DNA-PK) phosphorylates nuclear DNA helicase II/RNA helicase A and hnRNP proteins in an RNA-dependent manner. Nucleic Acids Res 2004; 32(1):1–10; PMID:14704337; https://doi.org/10.1093/nar/gkg933
- Matsuoka S, Ballif BA, Smogorzewska A, McDonald ER, 3rd, Hurov KE, Luo J, Bakalarski CE, Zhao Z, Solimini N, Lerenthal Y, et al. ATM and ATR substrate analysis reveals extensive protein networks responsive to DNA damage. Science 2007; 316(5828):1160–6; PMID:17525332; https://doi.org/10.1126/science.1140321
- Jette N, Lees-Miller SP. The DNA-dependent protein kinase: A multifunctional protein kinase with roles in DNA double strand break repair and mitosis. Prog Biophys Mol Biol 2015; 117(2-3):194–205; PMID:25550082; https://doi.org/10.1016/j.pbiomolbio.2014.12.003
- Spence J, Duggan BM, Eckhardt C, McClelland M, Mercola D. Messenger RNAs under differential translational control in Ki-ras-transformed cells. Mol Cancer Res 2006; 4(1):47–60; PMID:16446406; https://doi.org/10.1158/1541-7786.MCR-04-0187
- Zaccara S, Tebaldi T, Pederiva C, Ciribilli Y, Bisio A, Inga A. p53-directed translational control can shape and expand the universe of p53 target genes. Cell Death Differ 2014; 21(10):1522–34; PMID:24926617; https://doi.org/10.1038/cdd.2014.79
- Koritzinsky M, Magagnin MG, van den Beucken T, Seigneuric R, Savelkouls K, Dostie J, Pyronnet S, Kaufman RJ, Weppler SA, Voncken JW, et al. Gene expression during acute and prolonged hypoxia is regulated by distinct mechanisms of translational control. EMBO J 2006; 25(5):1114–25; PMID:16467844; https://doi.org/10.1038/sj.emboj.7600998