Domain analysis for estrogen receptor/Sp1-mediated transactivation and detection of estrogen receptor/Sp1 protein interactions in living cells

Estrogen Receptor ? (ER?)/Sp1 activation of GC-rich gene promoters in breast cancer cells is dependent, in part, on the activation function 1 (AF1) of ER?. This study investigates contributions of the DNA binding domain (C) and AF2 (DEF) regions of ER? on activation of ER?/Sp1. 17Beta-estradiol (E2) and the antiestrogens 4-hydroxytamoxifen and ICI 182,780 induced reporter gene activity in MCF-7 and MDA-MB-231 cells cotransfected with human or mouse ER? (hER? or MOR), but not ER? and GC-rich constructs containing three tandem Sp1 binding sites (pSp13) or other E2-responsive GC-rich promoters. Estrogen and antiestrogen activation of hER?/Sp1 was dependent on overlapping and different regions of the C, D, E, and F domains of ER?. Antiestrogen-induced activation of hER?/Sp1 was lost using hER? mutants deleted in zinc finger 1 (amino acids (aa) 185-205), zinc finger 2 (aa 218-245), and the hinge/helix 1 (aa 265-330) domains. In contrast with antiestrogens, E2-dependent activation of hER?/Sp1 required the C-terminal F domain (aa 579-595), which contains a ?-strand structural motif. Moreover, in peptide competition experiments overexpression of NR-box peptides inhibits E2-induced luciferase activity of pERE3, which contains three tandem repeats of consensus ERE sites, whereas E2-induced hER?/Sp1 action was not inhibited by NR-box peptide expression. In contrast, overexpression of a C-terminal (aa 575-595) F domain peptide specifically blocked E2-dependent activation of hER?/Sp1, but not on activation of pERE3, suggesting that F domain interactions with nuclear cofactors are specifically required for ER?/Sp1 action. Furthermore, direct physical interactions between hER? and Sp1 protein in vivo have been investigated by using Fluorescence Resonance Energy Transfer (FRET) microscopy and image analysis. Consistent with results from transient transfection assay, E2, 4OHT, and ICI enhanced hER?/Sp1 interactions in living cells and these interactions were also confirmed by coimmunoprecipitation. In addition, endogenous hER?/Sp1 action was evaluated by using si RNA for Sp1 and a significant decrease in ligand-induced hER?/Sp1 action was observed after decreased Sp1 expression

Mechanism of Action of Phenethylisothiocyanate and Other Reactive Oxygen Species-Inducing Anticancer Agents

Reactive oxygen species (ROS)-inducing anticancer agents such as phenethylisothiocyanate (PEITC) activate stress pathways for killing cancer cells. Here we demonstrate that PEITC-induced ROS decreased expression of microRNA 27a (miR-27a)/miR-20a:miR-17-5p and induced miR-regulated ZBTB10/ZBTB4 and ZBTB34 transcriptional repressors, which, in turn, downregulate specificity protein (Sp) transcription factors (TFs) Sp1, Sp3, and Sp4 in pancreatic cancer cells. Decreased expression of miR-27a/miR-20a:miR-17-5p by PEITC-induced ROS is a key step in triggering the miR-ZBTB Sp cascade leading to downregulation of Sp TFs, and this is due to ROS-dependent epigenetic effects associated with genome-wide shifts in repressor complexes, resulting in decreased expression of Myc and the Myc-regulated miRs. Knockdown of Sp1 alone by RNA interference also induced apoptosis and decreased pancreatic cancer cell growth and invasion, indicating that downregulation of Sp transcription factors is an important common mechanism of action for PEITC and other ROS-inducing anticancer agents

Reconstruction of nuclear receptor network reveals that NR2E3 is a novel upstream regulator of ESR1 in breast cancer

ESR1 is one of the most important transcription factors and therapeutic targets in breast cancer. By applying systems-level re-analysis of publicly available gene expression data, we uncovered a potential regulator of ESR1. We demonstrated that orphan nuclear receptor NR2E3 regulates ESR1 via direct binding to the ESR1 promoter with concomitant recruitment of PIAS3 to the promoter in breast cancer cells, and is essential for physiological cellular activity of ESR1 in estrogen receptor (ER)-positive breast cancer cells. Moreover, expression of NR2E3 was significantly associated with recurrence-free survival and a favourable response to tamoxifen treatment in women with ER-positive breast cancer. Our results provide mechanistic insights on the regulation of ESR1 by NR2E3 and the clinical relevance of NR2E3 in breast cancer

Gene Expression Signature Analysis Identifies Vorinostat as a Candidate Therapy for Gastric Cancer

Gastric cancer continues to be one of the deadliest cancers in the world and therefore identification of new drugs targeting this type of cancer is thus of significant importance. The purpose of this study was to identify and validate a therapeutic agent which might improve the outcomes for gastric cancer patients in the future. manifested a reversed pattern.We showed that analysis of gene expression signature may represent an emerging approach to discover therapeutic agents for gastric cancer, such as vorinostat. The observation of altered gene expression after vorinostat treatment may provide the clue to identify the molecular mechanism of vorinostat and those patients likely to benefit from vorinostat treatment

Cancer treatment targeting non-coding RNA overexpression

Provided herein are methods directed to modulating the pro-oncogenic effects of noncoding RNAs (ncRNAs) through their interactions with specificity protein transcription factors (SpTFs). In one aspect, the disclosure provides a method of inhibiting growth of a cell, such as a transformed or cancer cell, characterized by overexpression of at least one specificity protein (Sp)-regulated ncRNA and expression of at least one Sp transcription factor (SpTF), the method comprising contacting the cell with an effective amount of an SpTF agent. In some embodiments, the ncRNA is a long noncoding RNA (lncRNA). In some embodiments, the ncRNA is a microRNA (miR). Also provided are methods of treating a cell proliferative disease, predicting the response of a subject to SpTF agent-based treatment, and monitoring the efficacy of a SpTF agent-based treatment in a subject.U

Cancer treatment targeting non-coding RNA overexpression

Provided herein are methods directed to modulating the pro-oncogenic effects of noncoding RNAs (ncRNAs) through their interactions with specificity protein transcription factors (SpTFs). In one aspect, the disclosure provides a method of inhibiting growth of a cell, such as a transformed or cancer cell, characterized by overexpression of at least one specificity protein (Sp)-regulated ncRNA and expression of at least one Sp transcription factor (SpTF), the method comprising contacting the cell with an effective amount of an SpTF agent. In some embodiments, the ncRNA is a long noncoding RNA (lncRNA). In some embodiments, the ncRNA is a microRNA (miR). Also provided are methods of treating a cell proliferative disease, predicting the response of a subject to SpTF agent-based treatment, and monitoring the efficacy of a SpTF agent-based treatment in a subject.U

Cancer treatment targeting non-coding RNA overexpression

Provided herein are methods directed to modulating the pro-oncogenic effects of noncoding RNAs (ncRNAs) through their interactions with specificity protein transcription factors (SpTFs). In one aspect, the disclosure provides a method of inhibiting growth of a cell, such as a transformed or cancer cell, characterized by overexpression of at least one specificity protein (Sp)-regulated ncRNA and expression of at least one Sp transcription factor (SpTF), the method comprising contacting the cell with an effective amount of an SpTF agent. In some embodiments, the ncRNA is a long noncoding RNA (lncRNA). In some embodiments, the ncRNA is a microRNA (miR). Also provided are methods of treating a cell proliferative disease, predicting the response of a subject to SpTF agent-based treatment, and monitoring the efficacy of a SpTF agent-based treatment in a subject.U

Bin2Vec: A Better Wafer Bin Map Coloring Scheme for Comprehensible Visualization and Effective Bad Wafer Classification

A wafer bin map (WBM), which is the result of an electrical die-sorting test, provides information on which bins failed what tests, and plays an important role in finding defective wafer patterns in semiconductor manufacturing. Current wafer inspection based on WBM has two problems: good/bad WBM classification is performed by engineers and the bin code coloring scheme does not reflect the relationship between bin codes. To solve these problems, we propose a neural network-based bin coloring method called Bin2Vec to make similar bin codes are represented by similar colors. We also build a convolutional neural network-based WBM classification model to reduce the variations in the decisions made by engineers with different expertise by learning the company-wide historical WBM classification results. Based on a real dataset with a total of 27,701 WBMs, our WBM classification model significantly outperformed benchmarked machine learning models. In addition, the visualization results of the proposed Bin2Vec method makes it easier to discover meaningful WBM patterns compared with the random RGB coloring scheme. We expect the proposed framework to improve both efficiencies by automating the bad wafer classification process and effectiveness by assigning similar bin codes and their corresponding colors on the WBM