| Literature DB >> 30948645 |
Nawapol Kunkeaw1,2, Yeon-Su Lee3, Wonkyun Ronny Im4, Jiyoung Joan Jang4, Min-Ji Song5, Bobae Yang5,6, Jong-Lyul Park7,8, Seon-Young Kim7,8, Yongsuk Ku9, Yoosik Kim9, Sangmin Kang4, Hye-Ram Jo10,11, Jae-Hoon Jeong10,11, Hyun-Sung Lee12, Ju-Seog Lee13, Hyoung-Pyo Kim5,6, Betty H Johnson1, In-Hoo Kim14, Yong Sun Lee14.
Abstract
DNA-reactive compounds are harnessed for cancer chemotherapy. Their genotoxic effects are considered to be the main mechanism for the cytotoxicity to date. Because this mechanism preferentially affects actively proliferating cells, it is postulated that the cytotoxicity is specific to cancer cells. Nonetheless, they do harm normal quiescent cells, suggesting that there are other cytotoxic mechanisms to be uncovered. By employing doxorubicin as a representative DNA-reactive compound, we have discovered a cytotoxic mechanism that involves a cellular noncoding RNA (ncRNA) nc886 and protein kinase R (PKR) that is a proapoptotic protein. nc886 is transcribed by RNA polymerase III (Pol III), binds to PKR, and prevents it from aberrant activation in most normal cells. We have shown here that doxorubicin evicts Pol III from DNA and, thereby, shuts down nc886 transcription. Consequently, the instantaneous depletion of nc886 provokes PKR and leads to apoptosis. In a short-pulse treatment of doxorubicin, these events are the main cause of cytotoxicity preceding the DNA damage response in a 3D culture system as well as the monolayer cultures. By identifying nc886 as a molecular signal for PKR to sense doxorubicin, we have provided an explanation for the conundrum why DNA-damaging drugs can be cytotoxic to quiescent cells that have the competent nc886/PKR pathway.Entities:
Keywords: RNA polymerase III; cytotoxicity; doxorubicin; nc886; protein kinase R
Year: 2019 PMID: 30948645 PMCID: PMC6486756 DOI: 10.1073/pnas.1814510116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205
Fig. 1.Activation of PKR by doxorubicin and its contribution to the doxorubicin cytotoxicity. (A) Western blot of indicated proteins after doxorubicin (Doxo) treatment. Molecular size markers in kilodaltons (kDa) are indicated on the right. (B) MTT cell proliferation assays. Doxorubicin was treated for 24 h. Each data point is an average of triplicate samples. SDs are not shown because they are small (ranging 0.010∼0.030) and obscured by markers in most data points. (C) Western blot of indicated proteins as in A. (D) Luciferase assays measuring NF-κB activity. Luciferase-expressing plasmids (the firefly luciferase from the NF-κB–responsive promoter and the Renilla luciferase from the constitutive the SV40 promoter for normalization) were transfected. At 24 h after transfection, cells were pretreated with 2-AP (2 mM) for 1 h and then replaced with a culture medium containing doxorubicin (6 µM) for 8 h. Firefly values (“Pp”) were divided by Renilla values (“Rr”), and the value of untreated HCT116 was set as 1. (E and F) In vitro kinase assay. The autoradiogram (Upper) and PKR Western (Lower) for equal IP efficiency are shown. Asterisks indicate the PKR band. (G) Luciferase assays, as described in D, except for no treatment of 2-AP.
Fig. 2.nc886’s role in the PKR-mediated cytotoxic effect upon doxorubicin treatment. (A–C) Northern blot of nc886 and EtBr staining as a loading control. (D) Various indicated assays upon transfection of anti-oligos for 24 h. (E) Transfection of the nc886 RNA (an in vitro transcript) combined with doxorubicin treatment. Transfection and treatment were done simultaneously before harvesting cells at 6 h for Western blot. 2 μg of yeast tRNA (the equivalent amount to 15 nM of nc886) was transfected as a negative control (lanes 1–2 and 5–6). (F) A diagram illustrating the feature of the mutant nc886 compared with WT. The mutated portion is highlighted in red. (G and H) The same experiment as E, except that mutant nc886 or vtRNA1-1 (with WT nc886 for comparison) was transfected and cell harvest was at 12 h. Lanes 1–2 are 2 µg of yeast tRNA.
Fig. 3.The eviction of Pol III and inhibition of transcription by doxorubicin. (A) Expression levels of Pol III genes at 4 h after doxorubicin treatment, relative to 0 h, which is designated as “control (-Doxo)”. Full data and detailed description are in . (B) Northern (Left) and Western (Right) blot after 8 h-treatment of aclarubicin (Acla; 6 µM), etoposide (Etopo; 30 µM), and doxorubicin (Doxo; 6 µM), as well as no treatment control (the leftmost lane). Features of the three drugs are briefly summarized at the bottom of the Northern blot. (C) The POLR3A ChIP-seq peak of nc886. Ten million tags were used for normalization of relative POLR3A signal from ChIP-seq reads. The normalized ChIP-seq density (y axis) is shown along the genomic coordinate (hg19) of nc886 and its flanking 1-kb region at both sides (x axis). IGV 2.3 was used for visualization. (D) Number of POLR3A-occupied Pol III loci. (E) A boxplot of normalized POLR3A occupancy per each locus. The ANOVA test was used to calculate P values.
Fig. 4.Short pulse treatment of doxorubicin at micromolar concentration: its application in the 3D culture system and survey in various cancer cells. (A) Schematic diagram of pulse-treatment experiments. (B) Northern and Western blots, as performed according to the scheme in A. (C) A brief summary illustrating how to generate the 3D culture system, with schematic (Upper) and actual images (Lower). (D and E) Northern and Western blots described in A–C. Lane 1, continuous doxorubicin treatment; lane 2, no doxorubicin control; lanes 3–4, doxorubicin pulse as described in A. (F) A rank distribution plot of IC50 values of 791 cell lines in ascending order (see the text for detailed description and Dataset S2 for full information). We selected two groups of cells: doxorubicin-sensitive (IC50 < 0.6) and -resistant (IC50 > 1.5). In each group, cells were further classified according to the degree of nc886 CpG methylation (from 10 CpG sites in the nc886 genomic region) and depicted in the pie charts on the top. Hypermethylation was defined as >90% methylation on average. Statistical significance of differential methylation between the two groups was calculated by a χ2 test.