Ellipticine Binds to a Human Telomere Sequence: An Additional Mode of Action as a Putative Anticancer Agent?

Polyguanine sequences fold into G-quadruplex structures in the presence of monovalent cations. It is accepted that the telomeric DNA region consists of G-quadruplex structure. There are reports that potential G-quadruplex forming motifs are also present in the promoter region of some proto-oncogenes such as c-myc, c-kit, KRAS, etc. Small molecules with the potential to stabilize the telomeric DNA quadruplex have emerged as potential anticancer agents. We have studied the interaction of ellipticine, a putative anticancer agent from a plant source, with a human telomeric DNA sequence (H24). Spectroscopic and calorimetric studies indicate that the association of ellipticine with H24 is an entropically driven phenomenon with a 2:3 (H24:ellipticine) stoichiometry. Though ellipticine binding does not induce any major structural perturbation in H24, the association leads to formation of a complex with enhanced thermal stability. An assay with the telomerase repeat amplification protocol shows that ellipticine inhibits telomerase activity in MDAMB-231 breast cancer cell line extracts. This is the first report of the quadruplex binding ability of ellipticine. Using the results, we propose that along with DNA intercalation and/or topoisomerase II inhibition, interaction with the telomeric DNA region and the resultant inhibition of telomerase activity might be an additional mode of action for its anticancer property

Extratelomeric Binding of the Telomere Binding Protein TRF2 at the <i>PCGF3</i> Promoter Is G‑Quadruplex Motif-Dependent

Telomere repeat binding factor 2 (TRF2) is critical for the protection of chromosome ends. Mounting evidence suggests that TRF2 associates with extratelomeric sites and TRF2 functions may not be limited to telomeres. Here, we show that the <i>PCGF3</i> promoter harbors a sequence capable of forming the DNA secondary structure G-quadruplex motif, which is required for binding of TRF2 at the <i>PCGF3</i> promoter. We demonstrate that promoter binding by TRF2 mediates <i>PCGF3</i> promoter activity, and both the N-terminal and C-terminal domains of TRF2 are necessary for promoter activity. Altogether, this shows for the first time that a telomere binding factor may regulate a component of the polycomb group of proteins

Microsatellite Tandem Repeats Are Abundant in Human Promoters and Are Associated with Regulatory Elements

<div><p>Tandem repeats are genomic elements that are prone to changes in repeat number and are thus often polymorphic. These sequences are found at a high density at the start of human genes, in the gene’s promoter. Increasing empirical evidence suggests that length variation in these tandem repeats can affect gene regulation. One class of tandem repeats, known as microsatellites, rapidly alter in repeat number. Some of the genetic variation induced by microsatellites is known to result in phenotypic variation. Recently, our group developed a novel method for measuring the evolutionary conservation of microsatellites, and with it we discovered that human microsatellites near transcription start sites are often highly conserved. In this study, we examined the properties of microsatellites found in promoters. We found a high density of microsatellites at the start of genes. We showed that microsatellites are statistically associated with promoters using a wavelet analysis, which allowed us to test for associations on multiple scales and to control for other promoter related elements. Because promoter microsatellites tend to be G/C rich, we hypothesized that G/C rich regulatory elements may drive the association between microsatellites and promoters. Our results indicate that CpG islands, G-quadruplexes (G4) and untranslated regulatory regions have highly significant associations with microsatellites, but controlling for these elements in the analysis does not remove the association between microsatellites and promoters. Due to their intrinsic lability and their overlap with predicted functional elements, these results suggest that many promoter microsatellites have the potential to affect human phenotypes by generating mutations in regulatory elements, which may ultimately result in disease. We discuss the potential functions of human promoter microsatellites in this context.</p> </div

GO Results for genes with microsatellites that overlap with G4 elements.

<p>Gene ontology (GO) results for genes that contain microsatellites that overlap with G4 elements in their promoter. Hyper FDR Q-value is the false discovery rate q-value, Hyper fold enrichment is the enrichment of the test set on the overall (control) set for each category. 2,666 genes contain a G4 that overlaps with a microsatellite. For a control set we used genes that contain G4 elements in their promoters, for a total of 14,977 genes. The promoter region here was again 5 kb upstream and down of the TSS.</p

Strand-specific densities for the motifs A/T and AC/GT around promoters.

<p>These figures show the cubic spline of the densities of each strand-specific motif for bins of size 1kb (solid) and 100 base-pair (dashed) for the entire 5 kb promoter region.</p

Distribution of microsatellites around promoters.

<p>The total number of microsatellites present in each 100 base-pair bin are provided for all microsatellites within 10 kb of the TSS. Also shown are the total number of only coding microsatellites (blue) or only 5′ UTR microsatellites (red).</p

Linear model of wavelet results, displaying p-values.

<p>The top figure shows the results of the smooth coefficients, the bottom shows the results of the detail coefficients. Positive relationships are shown in red, negative in blue. The value is shown at the bottom of the figure. The largest scales were not included in this figure for simplicity.</p

Most significant motifs associated with distance to the TSS from the linear analysis.

<p>The top 10 most significant motifs associated with distance to TSS (in base-pairs), for the upstream and downstream regions, analyzed separately. These factors are sorted by their false discovery rate q-value (Sorted q-values). The size of the regression coefficient (Reg. coef.) indicates the strength of the association, with large positive coefficients belonging to motifs frequently found near the TSS. The full list of significant factors can be found in.</p><p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0054710#pone.0054710.s001" target="_blank">Tables S1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0054710#pone.0054710.s002" target="_blank">S2</a>.</p

Most common motifs found within 5 kb of the TSS and their strand-specific motif results.

<p>The most common motifs and their strand-specific counts are displayed. The binomial test (Binom.) p-value is the chance that these strand-specific frequencies deviate from an expected value of 50%. The Kolmogorov-Smirnov (KS) test values provide a measurement of the difference between the distribution of the two different strand-specific motifs, for each motif pair. The p-values shown are not corrected for multiple tests.</p

Kendall rank correlations between wavelet coefficients.

<p>The pairwise correlations between smooth coefficients are in the top right, and detail coefficients are the bottom left. The diagonal displays the normalized power spectrum for the wavelet coefficients, which can be interpreted as a measure of the variation of each signal at each scale. Note that the majority of factors examined here have most of their variation at the finest scales, while GC content and G4 elements contain a large amount of variation at the largest scales. Abbreviations for each element are “msat” for microsatellite, “G4” for predicted G4 regions, “CpG” for CpG islands, and “GC” for G/C content. Associations with a p-value above 0.001 are shown in red if positive, blue if negative. The smallest scale examined was 1 kb in size, and each successive scale increases by a factor of two.</p