Stabilization of SMAR1 mRNA by PGA2 involves a stem–loop structure in the 5′ UTR

Prostaglandins are anticancer agents known to inhibit tumor cell proliferation both in vitro and in vivo by affecting the mRNA stability. Here we report that a MAR-binding protein SMAR1 is a target of Prostaglandin A2 (PGA2) induced growth arrest. We identify a regulatory mechanism leading to stabilization of SMAR1 transcript. Our results show that a minor stem and loop structure present in the 5′ UTR of SMAR1 (ϕ1-UTR) is critical for nucleoprotein complex formation that leads to SMAR1 stabilization in response to PGA2. This results in an increased SMAR1 transcript and altered protein levels, that in turn causes downregulation of Cyclin D1 gene, essential for G1/S phase transition. We also provide evidence for the presence of a variant 5′ UTR SMAR1 (ϕ17-UTR) in breast cancer-derived cell lines. This form lacks the minor stem and loop structure required for mRNA stabilization in response to PGA2. As a consequence of this, there is a low level of endogenous tumor suppressor protein SMAR1 in breast cancer-derived cell lines. Our studies provide a mechanistic insight into the regulation of tumor suppressor protein SMAR1 by a cancer therapeutic PGA2, that leads to repression of Cyclin D1 gene

Tumor suppressor SMAR1 downregulates Cytokeratin 8 expression by displacing p53 from its cognate site

Intermediary filaments play a crucial role in transformation of cells to a malignant phenotype. Here, we report that tumor suppressor SMAR1 downregulates Cytokeratin 8 gene expression by modulating p53-mediated transactivation of this gene. Moreover, the cell surface cytokeratin expression was downregulated leading to a decreased migration and invasiveness of cells. We further validated these results using genotoxic stress agents that lead to an increase in the levels of SMAR1 protein. This subsequently represses the transcription of Cytokeratin 8 gene by local chromatin condensation mediated by histone methylation and deacetylation. Evaluation of SMAR1 and Cytokeratin 8 proteins in different grades of cancer using tissue microarray point out at the inverse expression profiles of these genes (i.e. low levels of SMAR1 correlating with high expression of Cytokeratin 8) in higher grades of breast cancer. Therefore, the results presented here highlight the mechanism of Cytokeratin 8 gene regulation by interplay of tumor suppressor proteins SMAR1 and p53

SMAR1 Regulates Free Radical Stress Through Modulation of AKR1a4 Enzyme Activity

Tumor suppressor SMAR1 is known to be involved in regulation of cell cycle and apoptotic genes transcription. It also directly interacts and stabilizes p53 through phosphorylation at serine-15 residue. Although the functions of SMAR1 are mainly restricted to the nucleus, we report its novel function with the cytoplasm. We show that SMAR1 directly interacts and inhibits AKR1a4 enzyme activity. Interestingly, AKR1a4 enzyme activity is elevated in higher grades of breast cancer where SMAR1 expression is drastically downregulated. Higher AKR1a4 activity protects the cancer cells from anticancer drugs and free radical stress. Through increased metabolism, ARK1a4 helps fulfilling higher energy needs required by cancer cell. The present study delineates yet another facet of tumor suppressor activity of SMAR1 in the cytoplasm. We also depict that upon stress, ATM kinase leads to dissociation of SMAR1–AKR1a4 complex through nuclear translocation of SMAR1 causing elevated AKR1a4 activity. Nuclear SMAR1 causes cell cycle arrest giving ample time for DNA damage repair, while AKR1a4 scavenges the excess free radicals which may further cause DNA damage. Thus, we propose a novel mechanism of regulation of oxidative stress by ATM through modulation of SMAR1–AKR1a4 complex. Further, we show that a small peptide derived from SMAR1 induces free radical stress by inhibiting AKR1a4 enzyme activity, which can be a\ud potential anticancer therapeutic agent

SMAR1 Forms a Ternary Complex with p53-MDM2 and Negatively Regulates p53-mediated Transcription

The intra-cellular level of tumor suppressor protein p53 is tightly controlled by an autoregulatory feedback loop between the protein and its negative regulator MDM2. The role of MDM2 in down-regulating the p53 response in unstressed conditions and in the post-stress recovery phase is well documented. However, interplay between the N-terminal phosphorylations and C-terminal acetylations of p53 in this context remains unclear. Here, we show that an MAR binding protein SMAR1 interacts with MDM2 and the Ser15 phosphorylated form of p53, forming a ternary complex in the post stress-recovery phase. This triple complex formation between p53, MDM2 and SMAR1 results in recruitment of HDAC1 to deacetylate p53. The deacetylated p53 binds poorly to the target promoter (p21), which results in switching off the p53 response, essential for re-entry into the cell cycle. Interestingly, the knock-down of SMAR1 using siRNA leads to a prolonged cell-cycle arrest in the post stress recovery phase due to ablation of p53– MDM2–HDAC1 interaction. Thus, the results presented here for the first time highlight the role of SMAR1 in masking the active phosphorylation site of p53, enabling the deacetylation of p53 by HDAC1–MDM2 complex, thereby regulating the p53 transcriptional response during stress rescue

Coordinated regulation of p53 apoptotic targets BAX and PUMA by SMAR1 through an identical MAR element

How tumour suppressor p53 bifurcates cell cycle arrest and apoptosis and executes these distinct pathways is not clearly understood. We show that BAX and PUMA promoters harbour an identical MAR element and are transcriptional targets of SMAR1. On mild DNA damage, SMAR1 selectively represses BAX and PUMA through binding to the MAR independently of inducing p53 deacetylation through HDAC1. This generates an anti-apoptotic response leading to cell cycle arrest. Importantly, knockdown of SMAR1 induces apoptosis, which is abrogated in the absence of p53. Conversely, apoptotic DNA damage results in increased size and number of promyelocytic leukaemia (PML) nuclear bodies with consequent sequestration of SMAR1. This facilitates p53 acetylation and restricts SMAR1 binding to BAX and PUMA MAR leading to apoptosis. Thus, our study establishes MAR as a damage responsive cis element and SMAR1-PML crosstalk as a switch that modulates the decision between cell cycle arrest and apoptosis in response to DNA damage

Synthesis and biological evaluation of bile acid dimers linked with 1,2,3-triazole and bis-β-lactam

We report herein the synthesis and biological evaluation of bile acid dimers 11-18 linked through 1,2,3-triazole and bis-β-lactam. The dimers 11-18 were synthesized using 1,3-dipolar cycloaddition reaction of diazido bis-β-lactams 3, 4 and terminal alkynes 7-10 derived from cholic acid/deoxycholic acid in the presence of Cu(I) catalyst (click chemistry). These novel molecules were evaluated in vitro for their antifungal and antibacterial activity. Most of the compounds exhibited significant antifungal as well as antibacterial activity against all the tested fungal and bacterial strains. Moreover, their in vitro cytotoxicities towards HEK-293 and MCF-7cells were also established

Enhanced yeast one-hybrid assays for high-throughput gene-centered regulatory network mapping

A major challenge in systems biology is to understand the gene regulatory networks that drive development, physiology and pathology. Interactions between transcription factors and regulatory genomic regions provide the first level of gene control. Gateway-compatible yeast one-hybrid (Y1H) assays present a convenient method to identify and characterize the repertoire of transcription factors that can bind a DNA sequence of interest. To delineate genome-scale regulatory networks, however, large sets of DNA fragments need to be processed at high throughput and high coverage. Here we present enhanced Y1H (eY1H) assays that use a robotic mating platform with a set of improved Y1H reagents and automated readout quantification. We demonstrate that eY1H assays provide excellent coverage and identify interacting transcription factors for multiple DNA fragments in a short time. eY1H assays will be an important tool for mapping gene regulatory networks in Caenorhabditis elegans and other model organisms as well as in humans

Synthesis of chimeric tetrapeptide-linked cholic acid derivatives: impending synergistic agents

Tetrapeptides derived from glycine and β-alanine were hooked at the C-3β position of the modified cholic acid to realize novel linear tetrapeptide-linked cholic acid derivatives. All the synthesized compounds were tested against a wide variety of microorganisms (Gram-negative bacteria, Gram-positive bacteria and fungi) and their cytotoxicity was evaluated against human embryonic kidney (HEK293) and human mammary adenocarcinoma (MCF-7) cell lines. While relatively inactive by themselves, these compounds interact synergistically with antibiotics such as fluconazole and erythromycin to inhibit growth of fungi and bacteria, respectively, at 1-24 μg/mL. The synergistic effect shown by our novel compounds is due to their inherent amphiphilicity. The fractional inhibitory concentrations reported are comparable to those reported for Polymyxin B derivatives

Extensive Rewiring and Complex Evolutionary Dynamics in a C. elegans Multiparameter Transcription Factor Network

Gene duplication results in two identical paralogs that diverge through mutation, leading to loss or gain of interactions with other biomolecules. Here, we comprehensively characterize such network rewiring for C. elegans transcription factors (TFs) within and across four newly delineated molecular networks. Remarkably, we find that even highly similar TFs often have different interaction degrees and partners. In addition, we find that most TF families have a member that is highly connected in multiple networks. Further, different TF families have opposing correlations between network connectivity and phylogenetic age, suggesting that they are subject to different evolutionary pressures. Finally, TFs that have similar partners in one network generally do not in another, indicating a lack of pressure to retain cross-network similarity. Our multiparameter analyses provide unique insights into the evolutionary dynamics that shaped TF networks