YY1-binding sites provide central switch functions in the PARP-1 gene expression network.

Evidence is presented for the involvement of the interplay between transcription factor Yin Yang 1 (YY1) and poly(ADP-ribose) polymerase-1 (PARP-1) in the regulation of mouse PARP-1 gene (muPARP-1) promoter activity. We identified potential YY1 binding motifs (BM) at seven positions in the muPARP-1 core-promoter (-574/+200). Binding of YY1 was observed by the electrophoretic supershift assay using anti-YY1 antibody and linearized or supercoiled forms of plasmids bearing the core promoter, as well as with 30 bp oligonucleotide probes containing the individual YY1 binding motifs and four muPARP-1 promoter fragments. We detected YY1 binding to BM1 (-587/-558), BM4 (-348/-319) and a very prominent association with BM7 (+86/+115). Inspection of BM7 reveals overlap of the muPARP-1 translation start site with the Kozak sequence and YY1 and PARP-1 recognition sites. Site-directed mutagenesis of the YY1 and PARP-1 core motifs eliminated protein binding and showed that YY1 mediates PARP-1 binding next to the Kozak sequence. Transfection experiments with a reporter gene under the control of the muPARP-1 promoter revealed that YY1 binding to BM1 and BM4 independently repressed the promoter. Mutations at these sites prevented YY1 binding, allowing for increased reporter gene activity. In PARP-1 knockout cells subjected to PARP-1 overexpression, effects similar to YY1 became apparent; over expression of YY1 and PARP-1 revealed their synergistic action. Together with our previous findings these results expand the PARP-1 autoregulatory loop principle by YY1 actions, implying rigid limitation of muPARP-1 expression. The joint actions of PARP-1 and YY1 emerge as important contributions to cell homeostasis.

Inhibition of glycolytic enzymes mediated by pharmacologically activated p53: targeting Warburg effect to fight cancer.

Unique sensitivity of tumor cells to the inhibition of glycolysis is a good target for anticancer therapy. Here, we demonstrate that the pharmacologically activated tumor suppressor p53 mediates the inhibition of glycolytic enzymes in cancer cells in vitro and in vivo. We showed that p53 binds to the promoters of metabolic genes and represses their expression, including glucose transporters SLC2A12 (GLUT12) and SLC2A1 (GLUT1). Furthermore, p53-mediated repression of transcription factors c-Myc and HIF1α, key drivers of ATP-generating pathways in tumors, contributed to ATP production block. Inhibition of c-Myc by p53 mediated the ablation of several glycolytic genes in normoxia, whereas in hypoxia down-regulation of HIF1α contributed to this effect. We identified Sp1 as a transcription cofactor cooperating with p53 in the ablation of metabolic genes. Using different approaches, we demonstrated that glycolysis block contributes to the robust induction of apoptosis by p53 in cancer cells. Taken together, our data suggest that tumor-specific reinstatement of p53 function targets the "Achilles heel" of cancer cells (i.e. their dependence on glycolysis), which could contribute to the tumor-selective killing of cancer cells by pharmacologically activated p53.

Ablation of key oncogenic pathways by RITA-reactivated p53 is required for efficient apoptosis.

Targeting "oncogene addiction" is a promising strategy for anticancer therapy. We report a potent inhibition of crucial oncogenes by p53 upon reactivation by small-molecule RITA in vitro and in vivo. RITA-activated p53 unleashes the transcriptional repression of antiapoptotic proteins Mcl-1, Bcl-2, MAP4, and survivin; blocks the Akt pathway on several levels; and downregulates c-Myc, cyclin E, and beta-catenin. p53 ablates c-Myc expression via several mechanisms at the transcriptional and posttranscriptional level. We show that the threshold for p53-mediated transrepression of survival genes is higher than for transactivation of proapoptotic targets. Inhibition of oncogenes by p53 reduces the cell's ability to buffer proapoptotic signals and elicits robust apoptosis. Our study highlights the role of transcriptional repression for p53-mediated tumor suppression.

PARP-1 expression in the mouse is controlled by an autoregulatory loop: PARP-1 binding to an upstream S/MAR element and to a novel recognition motif in its promoter suppresses transcription.

This work identifies central components of a feedback mechanism for the expression of mouse poly(ADP-ribose) polymerase-1 (PARP-1). Using the stress-induced duplex destabilization algorithm, multiple base-unpairing regions (BURs) could be localized in the 5' region of the mouse PARP-1 gene (muPARP-1). Some of these could be identified as scaffold/matrix-attachment regions (S/MARs), suggesting an S/MAR-mediated transcriptional regulation. PARP-1 binding to the most proximal element, S/MAR 1, and to three consensus motifs, AGGCC, in its own promoter (basepairs -956 to +100), could be traced by electrophoretic mobility-shift assay. The AGGCC-complementary GGCCT motif was detected by cis-diammine-dichloro platinum cross-linking and functionally characterized by the effects of site-directed mutagenesis on its performance in wild type (PARP-1(+/+)) and PARP-1 knockout cells (PARP-1(-/-)). Mutation of the central AGGCC tract at basepairs -554 to -550 prevented PARP-1/promoter interactions, whereby muPARP-1 expression became up-regulated. Transfection of a series of reporter gene constructs with or without S/MAR 1 (basepairs -1523 to -1007) and the more distant S/MAR 2 (basepairs -8373 to -6880), into PARP-1(+/+) as well as PARP-1(-/-) cells, revealed an additional, major level of muPARP-1 promoter down-regulation, triggered by PARP-1 binding to S/MAR 1. We conclude that S/MAR 1 represents an upstream control element that acts in conjunction with the muPARP-1 promoter. These interactions are part of a negative autoregulatory loop.

The positive aspects of stress: strain initiates domain decondensation (SIDD).

The conventional string-based bioinformatic methods of genomic sequence analysis are often insufficient to identify DNA regulatory elements, since many of these do not have a recognizable motif. Even in case a sequence pattern is known to be associated with an element it may only partially mediate its function. This suggests that properties not correlated with the details of base sequence contribute to regulation. One of these attributes is the DNA strand-separation potential, known as SIDD (stress-induced duplex destabilization) which facilitates the access of tracking proteins and the formation of local secondary structures. Using the type 1 interferon gene cluster as a paradigm, we demonstrate that the imprints in a SIDD profile coincide with chromatin domain borders and with DNAse I hypersensitive sites to which regulatory potential could be assigned. The approach permits the computer-guided identification of yet unknown, mostly remote sites and the design of artificial elements with predictable properties for multiple applications.

Dominant genomic structures: detection and potential signal functions in the interferon-beta domain.

Eukaryotic genomes are divided into chromatin domains, which are thought to represent independent regulatory units. Typically, these domains are flanked by bordering elements that insulate the transcription unit from outside influences. Borders also demarcate the range of action for enhancer-like elements within the domain as they are formed around dominant genomic structures such as DNAse I hypersensitive sites (HS). Here we describe an efficient strategy to localize these elements. Our procedure is based on a computational method and predictions are verified by classical in vivo and in vitro procedures. Exemplified by the interferon-beta (IFN-beta) domain it proves its potential to provide novel insights into remote control principles of transcription. Sites with secondary-structure forming potential are localized by the analysis of stress-induced duplex destabilization (SIDD) properties and the associating factors are characterized by electrophoretic mobility shift assays (EMSA). These studies reveal far upstream factor binding sites within the IFN-beta domains of both humans and mice. A prominent example is YY1, a transcription factor that not only recognizes a core consensus motif, ATGG, but, in addition, the structural context, which is evident from characteristic imprints in the respective SIDD-profiles.