Factor Crosstalk Research Articles

Glucocorticoid receptor action in prostate cancer: the role of transcription factor crosstalk.

Prostate cancer is one of the most prevalent malignancies and is primarily driven by aberrant androgen receptor (AR) signaling. While AR-targeted therapies form the cornerstone of prostate cancer treatment, they often inadvertently activate compensatory pathways, leading to therapy resistance. This resistance is frequently mediated through changes in transcription factor (TF) crosstalk, reshaping gene regulatory programs and ultimately weakening treatment efficacy. Consequently, investigating TF interactions has become crucial for understanding the mechanisms driving therapy-resistant cancers. Recent evidence has highlighted the crosstalk between the glucocorticoid receptor (GR) and AR, demonstrating that GR can induce prostate cancer therapy resistance by replacing the inactivated AR, thereby becoming a driver of the disease. In addition to this oncogenic role, GR has also been shown to act as a tumor suppressor in prostate cancer. Owing to this dual role and the widespread use of glucocorticoids as adjuvant therapy, it is essential to understand GR's actions across different stages of prostate cancer development. In this review, we explore the current knowledge of GR in prostate cancer, with a specific focus on its crosstalk with other TFs. GR can directly and indirectly interact with a variety of TFs, and these interactions vary significantly depending on the type of prostate cancer cells. By highlighting these crosstalk interactions, we aim to provide insights that can guide the research and development of new GR-targeted therapies to mitigate its harmful effects in prostate cancer.

How to tame your genes: mechanisms of inflammatory gene repression by glucocorticoids.

Glucocorticoids (GCs) are widely used therapeutic agents to treat a broad range of inflammatory conditions. Their functional effects are elicited by binding to the glucocorticoid receptor (GR), which regulates transcription of distinct gene networks in response to ligand. However, the mechanisms governing various aspects of undesired side effects versus beneficial immunomodulation upon GR activation remain complex and incompletely understood. In this review, we discuss emerging models of inflammatory gene regulation by GR, highlighting GR's regulatory specificity conferred by context-dependent changes in chromatin architecture and transcription factor or co-regulator dynamics. GR controls both gene activation and repression, with the repression mechanism being central to favourable clinical outcomes. We describe current knowledge about 3D genome organisation and its role in spatiotemporal transcriptional control by GR. Looking beyond, we summarise the evidence for dynamics in gene regulation by GR through cooperative convergence of epigenetic modifications, transcription factor crosstalk, molecular condensate formation and chromatin looping. Further characterising these genomic events will reframe our understanding of mechanisms of transcriptional repression by GR.

Adhesion-growth factor crosstalk regulates AURKB activation and ERK signalling in re-adherent fibroblasts

Aurora kinases despite their similarity have distinct roles in the cell cycle, which is regulated by cell-matrix adhesion and growth factors. This study reveals loss of adhesion and re-adhesion to differentially regulate Aurora kinases. AURKB activation that drops on the loss of adhesion recovers on re-adhesion in serumdeprived conditions but not in the presence of serum growth factors. A rapid 30 min serum treatment of serumdeprived cells blocks the adhesion-dependent recovery of AURKB, which negatively correlates with Erk activation. AZD mediated inhibition of AURKB in serum-deprived re-adherent cells promotes Erk activation and membrane ruffling, comparable to presence of serum. These studies thus define a novel adhesion-growth factor-dependent regulation of AURKB that controls adhesion-dependent Erk activation in re-adherent fibroblasts.

CTTNBP2 Controls Synaptic Expression of Zinc-Related Autism-Associated Proteins and Regulates Synapse Formation and Autism-like Behaviors

Synaptic dysregulation is a critical feature of autism spectrum disorders (ASDs). Among various autism-associated genes, cortactin binding protein 2 (CTTNBP2) is a cytoskeleton regulator predominantly expressed in neurons and highly enriched at dendritic spines. Here, using Cttnbp2 knockout and ASD-linked mutant mice, we demonstrate that Cttnbp2 deficiency reduces zinc levels in the brain, alters synaptic protein targeting, impairs dendritic spine formation and ultrastructure of postsynaptic density, and influences neuronal activation and autism-like behaviors. A link to autism, the NMDAR-SHANK pathway, and zinc-related regulation are three features shared by CTTNBP2-regulated synaptic proteins. Zinc supplementation rescues the synaptic expression of CTTNBP2-regulated proteins. Moreover, zinc supplementation and administration of D-cycloserine, an NMDAR coagonist, improve the social behaviors of Cttnbp2-deficient mice. We suggest that CTTNBP2 controls the synaptic expression of a set of zinc-regulated autism-associated genes and influences NMDAR function and signaling, providing an example of how genetic and environmental factor crosstalk controls social behaviors.

Transcriptome analyses of cells carrying the Type II Csp231I restriction-modification system reveal cross-talk between two unrelated transcription factors: C protein and the Rac prophage repressor.

Restriction-modification (R–M) systems represent an effective mechanism of defence against invading bacteriophages, and are widely spread among bacteria and archaea. In acquiring a Type II R–M system via horizontal gene transfer, the new hosts become more resistant to phage infection, through the action of a restriction endonuclease (REase), which recognizes and cleaves specific target DNAs. To protect the host cell's DNA, there is also a methyltransferase (MTase), which prevents DNA cleavage by the cognate REase. In some R–M systems, the host also accepts a cis-acting transcription factor (C protein), which regulates the counteracting activities of REase and MTase to avoid host self-restriction. Our study characterized the unexpected phenotype of Escherichia coli cells, which manifested as extensive cell filamentation triggered by acquiring the Csp231I R–M system from Citrobacter sp. Surprisingly, we found that the cell morphology defect was solely dependent on the C regulator. Our transcriptome analysis supported by in vivo and in vitro assays showed that C protein directly silenced the expression of the RacR repressor to affect the Rac prophage-related genes. The rac locus ydaST genes, when derepressed, exerted a toxicity indicated by cell filamentation through an unknown mechanism. These results provide an apparent example of transcription factor cross-talk, which can have significant consequences for the host, and may represent a constraint on lateral gene transfer.

Modeling transcriptional factor cross-talk to understand parabolic kinetics, bimodal gene expression and retroactivity in biosensor design

Transcriptional factor-based biosensor has been widely used to reprogram and adjust cellular activity to the changing environment. These biosensors translate an internal cellular signal to a transcriptional reporter output. Previous examples have demonstrated transcriptional factor (TF) cross-talk could lead to complex gene expression dynamics. In this report, we formulated a mechanism-based kinetic model to simulate and predict how TF cross-talk reshape the transcriptional dynamics of an engineered biosensor. Our model comprises TF cross-talk and Hill-type equation to quantify the degree of gene repression and de-repression; it also accounts for protein degradation, cell growth (dilution) effect and the carrying capacity of the system. Our simulation fits well with the biphasic parabolic gene expression pattern of an experimentally validated malonyl-CoA sensor. We discovered that exponential growth could lead to hysteresis in the TF cross-talk model. With Logistic growth to limit the carrying capacity, we find that bimodal gene expression pattern could arise, and this phenomenon is rooted in the hysteresis characteristics of the TF cross-talk model. The computational insights obtained in this study will guide us to design accurate, sensitive TF-based biosensors and may serve as a diagnostic platform to troubleshoot the complex transcriptional dynamics in biosensor design. The computational framework developed here will also provide an educational toolbox for synthetic biologist and biochemical/biomolecular engineering students to understand biosystem design and transcriptional regulation.

Transcription factor specificity protein 1 modulates TGFβ1/Smad signaling to negatively regulate SIGIRR expression by human M1 macrophages stimulated with substance P

The stimuli inducing expression of single immunoglobulin IL-1-related receptor (SIGIRR) and the relevant regulatory mechanisms are not well defined. Transforming growth factor β1 (TGFβ1) delays internalization of neurokinin-1 receptor (NK1R) and subsequently enhances cellular signaling. This study investigated the effect of TGFβ1 on SIGIRR protein production by human M1 macrophages in response to stimulation with substance P (SP).SP caused upregulation of SIGIRR expression in a concentration-dependent manner, whereas aprepitant (an NK1R inhibitor) blunted this response. Silencing p38γMAPK or TAK-1 partially attenuated the response to SP stimulation, while TGFβ1/2/3 siRNA dramatically diminished it. SP induced much greater SIGIRR protein production than either lipopolysaccharide (a TLR4 agonist) or resiquimod (a TLR7/8 agonist). Unexpectedly, silencing of transcription factor specificity protein 1 (Sp1) led to significant upregulation of SIGIRR expression after SP stimulation, while KLF2 siRNA only partially enhanced it and Fli-1 siRNA reduced it. SP also upregulated TGFβ1 expression, along with a corresponding increase of SIGIRR protein, whereas silencing TGFβ1/2/3 blunted these responses. Sp1 siRNA or mithramycin (a gene-selective Sp1 inhibitor) significantly enhanced the expression of TGFβ1 and SIGIRR by macrophages after SP stimulation. Importantly, this effect of Sp1 siRNA on TGFβ1 and SIGIRR was blunted by siRNA for Smad2, Smad3, or Smad4, but not by TAK-1 siRNA. Next, we investigated the influence of transcription factor cross-talk on SIGIRR expression in response to SP. Co-transfection of macrophages with Sp1 siRNA and C/EBPβ or TIF1β siRNA attenuated the upregulation of SIGIRR by SP, while a combination of Sp1 siRNA and Fli-1 siRNA dramatically diminished it.In conclusion, TGFβ1 may be an intermediary between SP/NK1R activation and SIGIRR expression in Sp1 siRNA-transfected macrophages. In addition, Sp1 modulates TGFβ1/Smad signaling and negatively regulates SIGIRR protein production by macrophages after SP stimulation.

Transcriptional repression in macrophages-basic mechanisms and alterations in metabolic inflammatory diseases.

Macrophage differentiation and signal responses are coordinated by closely linked transcriptional and epigenomic mechanisms that trigger gene expression. In contrast to well-characterized transcriptional activation pathways in response to diverse metabolic and inflammatory signals, we just begin appreciating that transcriptional repression is equally important. Here, we will highlight macrophage pathways that are controlled by multifaceted repression events, along with a discussion of underlying regulatory mechanisms and components. We will particularly discuss pro- versus anti-inflammatory action of a fundamental corepressor complex, transcription factor cross-talk, repression at enhancers and during elongation, and diverse corepressor knockout mouse models. We will finally emphasize how alterations of macrophage repression pathways in humans contribute to, or even cause, metabolic inflammatory diseases such as obesity and type 2 diabetes.

Multi-Omics and Integrated Network Analyses Reveal New Insights into the Systems Relationships between Metabolites, Structural Genes, and Transcriptional Regulators in Developing Grape Berries (Vitis vinifera L.) Exposed to Water Deficit

Grapes are one of the major fruit crops and they are cultivated in many dry environments. This study comprehensively characterizes the metabolic response of grape berries exposed to water deficit at different developmental stages. Increases of proline, branched-chain amino acids, phenylpropanoids, anthocyanins, and free volatile organic compounds have been previously observed in grape berries exposed to water deficit. Integrating RNA-sequencing analysis of the transcriptome with large-scale analysis of central and specialized metabolites, we reveal that these increases occur via a coordinated regulation of key structural pathway genes. Water deficit-induced up-regulation of flavonoid genes is also coordinated with the down-regulation of many stilbene synthases and a consistent decrease in stilbenoid concentration. Water deficit activated both ABA-dependent and ABA-independent signal transduction pathways by modulating the expression of several transcription factors. Gene-gene and gene-metabolite network analyses showed that water deficit-responsive transcription factors such as bZIPs, AP2/ERFs, MYBs, and NACs are implicated in the regulation of stress-responsive metabolites. Enrichment of known and novel cis-regulatory elements in the promoters of several ripening-specific/water deficit-induced modules further affirms the involvement of a transcription factor cross-talk in the berry response to water deficit. Together, our integrated approaches show that water deficit-regulated gene modules are strongly linked to key fruit-quality metabolites and multiple signal transduction pathways may be critical to achieve a balance between the regulation of the stress-response and the berry ripening program. This study constitutes an invaluable resource for future discoveries and comparative studies, in grapes and other fruits, centered on reproductive tissue metabolism under abiotic stress.

Multilineage communication regulates human liver bud development from pluripotency.

Conventional two-dimensional differentiation from pluripotency fails to recapitulate cell interactions occurring during organogenesis. Three-dimensional organoids generate complex organ-like tissues; however, it is unclear how heterotypic interactions affect lineage identity. Here we use single-cell RNA sequencing to reconstruct hepatocyte-like lineage progression from pluripotency in two-dimensional culture. We then derive three-dimensional liver bud organoids by reconstituting hepatic, stromal, and endothelial interactions, and deconstruct heterogeneity during liver bud development. We find that liver bud hepatoblasts diverge from the two-dimensional lineage, and express epithelial migration signatures characteristic of organ budding. We benchmark three-dimensional liver buds against fetal and adult human liver single-cell RNA sequencing data, and find a striking correspondence between the three-dimensional liver bud and fetal liver cells. We use a receptor-ligand pairing analysis and a high-throughput inhibitor assay to interrogate signalling in liver buds, and show that vascular endothelial growth factor (VEGF) crosstalk potentiates endothelial network formation and hepatoblast differentiation. Our molecular dissection reveals interlineage communication regulating organoid development, and illuminates previously inaccessible aspects of human liver development.

Interactive cooperation and hierarchical operation of microRNA and transcription factor crosstalk in human transcriptional regulatory network.

Transcriptional regulation of gene expression is an essential cellular process that is arranged by transcription factors (TFs), microRNAs (miRNA) and their target genes through a variety of mechanisms. Here, we set out to reconstruct a comprehensive transcriptional regulatory network of Homo sapiens consisting of experimentally verified regulatory information on miRNAs, TFs and their target genes. We have performed topological analyses to elucidate the transcriptional regulatory roles of miRNAs and TFs. When we thoroughly investigated the network motifs, different gene regulatory scenarios were observed; whereas, mutual TF-miRNA regulation (interactive cooperation) and hierarchical operation where miRNAs were the upstream regulators of TFs came into prominence. Otherwise, biological process specific subnetworks were also constructed and integration of gene and miRNA expression data on ovarian cancer was achieved as a case study to observe dynamic patterns of the gene expression. Meanwhile, both co-operation and hierarchical operation types were determined in active ovarian cancer and process-specific subnetworks. In addition, the analysis showed that multiple signals from miRNAs were integrated by TFs. Our results demonstrate new insights on the architecture of the human transcriptional regulatory network, and here we present some lessons we gained from deciphering the reciprocal interplay between miRNAs, TFs and their target genes.

Modulation of extracellular signal-related kinase, cyclin D1, glial fibrillary acidic protein, and vimentin expression in estradiol-pretreated astrocyte cultures treated with competence and progression growth factors.

The present study seeks to elucidate the interactions between the "competence" growth factor basic fibroblast growth factor (bFGF) and/or estrogen 17β-estradiol and the "progression" growth factors epidermal growth factor (EGF), insulin-like growth factor-I (IGF-I), and insulin (INS) on DNA labeling and also cyclin D1, extracellular signal-related kinase 1/2 (ERK1/2), glial fibrillary acidic protein (GFAP), and vimentin expression in astroglial cultures under different experimental conditions. Pretreatment for 24 hr with bFGF and subsequent exposure for 36 hr to estradiol (E2 ) and EGF, IGF-I, or INS stimulated DNA labeling in the last 12 hr, especially when the cultures were treated with progression growth factors. bFGF pretreatment and subsequent treatment with E2 for 36 hr stimulated DNA labeling. The 36-hr E2 treatment alone did not significantly decrease DNA labeling, but contemporary addition of E2 with two or three growth factors stimulated DNA labeling remarkably. When E2 was coadded with growth factors, a significantly increased DNA labeling was observed, demonstrating an astroglial synergistic mitogenic effect evoked by contemporary treatment with growth factors in the presence of estrogens. Cyclin D1 expression was markedly increased when astrocyte cultures were pretreated for 36 hr with E2 and subsequently treated with two or three competence and progression growth factors. A highly significant increase of ERK1/2 expression was observed after all the treatments (EGF, bFGF, INS, IGF-I alone or in combination with two or three growth factors). GFAP and vimentin expression was markedly increased when the cultures were treated with two or three growth factors. In conclusion, our data demonstrate estradiol-growth factor cross-talk during astroglial cell proliferation and differentiation in culture.

Abstract P1-07-05: Triple negative breast cancer metastases: Protein signal transduction networks within the tumor-stromal microenvironment complement genomic analysis and stratify local versus distant metastasis

Abstract Background: Genomic profiling of primary TNBC may not reflect the lethal metastatic (mTNBC) lesions that constitute a selected subclone of the primary tumor. Moreover, while the stroma microenvironment of primary tumors has been the subject of study, almost nothing is known about the stromal microenvironment of metastasis. We conducted proteomic signal pathway network analysis of microdissected tumor cells and stroma from mTNBC samples for which whole genome sequencing was known. We addressed the following questions: 1) Can potentially actionable driver mutations in the metastasis be inferred from the activated/ suppressed protein signaling pathways in the tumor cells? 2) Are the tumor cell signaling pathways different between local and distant metastasis? 3) Does the proteomic signaling profile of the stroma provide strategies for stromal therapy of mTNBC? Methods: Enriched populations of mTNBC cells and adjacent stromal cells were collected by Laser Capture Microdissection from 13 fresh frozen mTNBC samples. Signal pathway profiling of 130 protein and/or phosphoprotein endpoints were quantified by reverse phase protein arrays (RPPA). The samples represented local (regional lymph node and chest wall) (n=7) and distant (n=6) metastasis. Spearman rho correlation analysis identified pair-wise protein linakges (rho=0.8, p<0.01). Whole genome sequencing was also performed on the mTNBC samples (Craig DW. Mol Cancer Ther, 2012). Results: We compared the protein signaling network of the tumor and matched stroma to investigate tumor-stroma crosstalk, and also to the genomic alterations (GAs) in the same tumor. GAs in mTNBC fell into two major categories: DNA repair or cell cycle/growth factor signaling. Proteomic analysis confirmed the down-regulation of endocrine (ER, AR, PR) and HER2 pathways. PhosphoJAK1/2 and phosphoHer3 were markedly down-regulated in mTNBCs, while EGFR and Her4 signaling were not. Spearman rho pairwise correlations revealed differences between local and distant metastases as well as between local and distant stroma. Cyclin D1 in locally metastatic tumor cells was linked with Autotaxin, PLCgamma and RUNX1, whereas in distant metastatic tumor cells, Cyclin D1 was linked with HIF-1alpha, phosphoJAK1, and HSP70. Growth factor signaling via phosphoEFGR was more prevalent in distant mTNBC tumor samples (322 linkages) compared to local mTNBC tumor samples (146 linkages). Distant stromal cell linkages were dominated by growth factor (phospho mTOR) and immune cell crosstalk, e.g. 21 linkages between CD63 in distant stromal samples compared to 1 CD63 linkage in local stromal cells. Discussion: Proteomic signal pathway data can stratify metastatic lesions into functionally important groups based on a) clinical phenotype (distant versus local metastasis) and b) GA subtype (DNA repair vs growth factor signaling), thereby providing new actionable strategies for novel therapies, e.g. anti-JAK1 and anti-HSP70, and providing a means to prioritize potential driver mutations. Profiling the signal pathway network of mTNBC stroma, for the first time, provides novel strategies for targeting immune cell and mTOR pathways, for new classes of stromal therapy. Citation Format: Virginia Espina, Maren K Levin, John D Carpten, David W Craig, Daniel Von Hoff, Lance A Liotta, Joyce O'Shaughnessy. Triple negative breast cancer metastases: Protein signal transduction networks within the tumor-stromal microenvironment complement genomic analysis and stratify local versus distant metastasis [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P1-07-05.

Quantitative iTRAQ LC-MS/MS Proteomics Reveals Transcription Factor Crosstalk and Regulatory Networks in Hypopharyngeal Squamous Cell Carcinoma.

To date, no effective therapeutic treatments have been developed for hypopharyngeal squamous cell carcinoma (HPSCC), a disease that has a five-year survival rate of approximately 31% because of its late diagnosis and aggressive nature. Despite recent improvements in diagnostic methods, there are no effective measures to prevent or detect HPSCC in an early stage. The goal of the current study was to identify molecular biomarkers and networks that can facilitate the speedy identification of HPSCC patients who could benefit from individualized treatment. Isobaric tags for relative and absolute quantification (iTRAQ) labeling was employed with two-dimensional liquid chromatography-tandem mass spectrometry to identify quantitatively the differentially expressed proteins among three types of HPSCC disease stages. The iTRAQ results were evaluated by literature searches and western blot analysis. For example, FUBP1, one of 412 proteins with significantly altered expression profiles, was confirmed to have elevated expression in fresh HPSCC tissues. Integrin-mediated cell matrix adhesion and actin filament-inducing cytoskeleton remodeling were the cellular events that were the most relevant to HPSCC tumorigenesis and the metastatic process. The construction of transcriptional regulation networks led to the identification of key transcriptional regulators of tumor development and lymph node metastasis of HPSCC, including Sp1, c-Myc and p53. Additionally, our study indicated that the interactions among Sp1, c-Myc and p53 may play vital roles in the carcinogenesis and metastasis of HPSCC.

Selective modulation of the glucocorticoid receptor can distinguish between transrepression of NF-κB and AP-1

Glucocorticoids (GCs) block inflammation via interference of the liganded glucocorticoid receptor (GR) with the activity of pro-inflammatory transcription factors NF-κB and AP-1, a mechanism known as transrepression. This mechanism is believed to involve the activity of GR monomers. Here, we explored how the GR monomer-favoring Compound A (CpdA) affects AP-1 activation and activity. Our results demonstrate that non-steroidal CpdA, unlike classic steroidal GCs, blocks NF-κB- but not AP-1-driven gene expression. CpdA rather sustains AP-1-driven gene expression, a result which could mechanistically be explained by the failure of CpdA to block upstream JNK kinase activation and concomitantly also phosphorylation of c-Jun. In concordance and in contrast to DEX, CpdA maintained the expression of the activated AP-1 target gene c-jun, as well as the production of the c-Jun protein. As for the underlying mechanism, GR is a necessary intermediate in the CpdA-mediated gene expression of AP-1-regulated genes, but seems to be superfluous to CpdA-mediated JNK phosphorylation prolongation. The latter phenomenon concurs with the inability of CpdA to stimulate DUSP1 gene expression. ChIP analysis demonstrates that DEX-activated GR, but not CpdA-activated GR, is recruited to AP-1-driven promoters. Furthermore, in mice we observed that CpdA instigates a strong enhancement of TNF-induced AP-1-driven gene expression. Finally, we demonstrate that this phenomenon coincides with an increased sensitivity towards TNF lethality, and implicate again a role for JNK2. In conclusion, our data support the hypothesis that a ligand-induced differential conformation of GR yields a different transcription factor cross-talk profile.Electronic supplementary materialThe online version of this article (doi:10.1007/s00018-013-1367-4) contains supplementary material, which is available to authorized users.

β-Estradiol-dependent activation of the JAK/STAT pathway requires p/CIP and CARM1

The steroid receptor coactivator p/CIP, also known as SRC-3, is an oncogene commonly amplified in breast and ovarian cancers. p/CIP is known to associate with coactivator arginine methyltransferase 1 (CARM1) on select estrogen responsive genes. We have shown, using a ChIP-on-chip approach, that in response to stimulation with 17β-estradiol (E2), the p/CIP/CARM1 complex is recruited to 204 proximal promoters in MCF-7 cells. Many of the complex target genes have been previously implicated in signaling pathways related to oncogenesis. Jak2, a member of the Jak/Stat signaling cascade, is one of the direct E2-dependent targets of the p/CIP/CARM1 complex. Following E2-treatment, histone modifications at the Jak2 promoter are reflective of a transcriptionally permissive gene, and modest changes in RNA and protein expression lead us to suggest that an additional factor(s) may be required for a more notable transcriptional and functional response. Bioinformatic examination of the 204 proximal promoter sequences of p/CIP/CARM1 targets supports the idea that transcription factor crosstalk is likely the favored mechanism of E2-dependent p/CIP/CARM1 complex recruitment. This data may have implications towards understanding the oncogenic role of p/CIP in breast cancer and ultimately allow for the identification of new prognostic indicators and/or viable therapeutic targets.

Renal LRP2 expression in man and chicken is estrogen-responsive

In mammals, low-density lipoprotein receptor-related protein-2 (LRP2) is an endocytic receptor that binds multiple ligands and is essential for a wide range of physiological processes. To gain new insights into the biology of this complex protein, we have initiated the molecular characterization of the LRP2 homolog from an oviparous species, the chicken (Gallus gallus). The galline LRP2 cDNA encodes a membrane protein of 4658 residues. Overall, the galline and human proteins are 73% identical, indicating that the avian gene has been well conserved over 300million years. Unexpectedly, LRP2 transcript and protein levels in the kidney of females and estrogen-treated roosters were significantly higher than those in untreated males. The estrogen-responsiveness of avian LRP2 may be related to the dramatic differences in lipoprotein metabolism between mature roosters and laying hens. Newly identified potential estrogen-responsive elements (ERE) in the human and galline LRP2 gene, and additional Sp1 sites present in the promoter of the chicken gene, are compatible with both direct estrogen induction via the classical ligand-induced ERE pathway and the indirect transcription factor crosstalk pathway engaging the Sp1 sites. In agreement with this assumption, estrogen induction of LRP2 was observed not only in primary cultured chicken kidney cells, but also human kidney cell lines. These findings point to novel regulatory features of the LRP2 gene resulting in sex-specific receptor expression.

Distinct Roles for Aryl Hydrocarbon Receptor Nuclear Translocator and Ah Receptor in Estrogen-Mediated Signaling in Human Cancer Cell Lines

The activated AHR/ARNT complex (AHRC) regulates the expression of target genes upon exposure to environmental contaminants such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Importantly, evidence has shown that TCDD represses estrogen receptor (ER) target gene activation through the AHRC. Our data indicates that AHR and ARNT act independently from each other at non-dioxin response element sites. Therefore, we sought to determine the specific functions of AHR and ARNT in estrogen-dependent signaling in human MCF7 breast cancer and human ECC-1 endometrial carcinoma cells. Knockdown of AHR with siRNA abrogates dioxin-inducible repression of estrogen-dependent gene transcription. Intriguingly, knockdown of ARNT does not effect TCDD-mediated repression of estrogen-regulated transcription, suggesting that AHR represses ER function independently of ARNT. This theory is supported by the ability of the selective AHR modulator 3′,4′-dimethoxy-α-naphthoflavone (DiMNF) to repress estrogen-inducible transcription. Furthermore, basal and estrogen-activated transcription of the genes encoding cathepsin-D and pS2 are down-regulated in MCF7 cells but up-regulated in ECC-1 cells in response to loss of ARNT. These responses are mirrored at the protein level with cathepsin-D. Furthermore, knock-down of ARNT led to opposite but corresponding changes in estrogen-stimulated proliferation in both MCF7 and ECC-1 cells. We have obtained experimental evidence demonstrating a dioxin-dependent repressor function for AHR and a dioxin-independent co-activator/co-repressor function for ARNT in estrogen signalling. These results provide us with further insight into the mechanisms of transcription factor crosstalk and putative therapeutic targets in estrogen-positive cancers.

P2-02-07: Regulation of mTOR Signaling by Proto-Oncogene PELP1.

Abstract BACKGROUND: Despite positive effects of hormonal therapy, initial or acquired resistance to endocrine therapies frequently occurs. Emerging evidence suggests that ER action is complex and requires functional interactions with coregulators. In addition, ER also participates in extra-nuclear signaling events in the cytoplasm and growth factor cross talk with ER is implicated in the development of therapy resistance. The mammalian target of rapamycin (mTOR) is a serine/threonine kinase that plays an important role on cell growth and proliferation. Proline, Glutamic-acid and Leucine-rich Protein 1 (PELP1) is an ER coregulator that functions in nuclear as well as extra-nuclear actions. PELP1 functions as a proto-oncogene and is a prognostic indicator of shorter breast cancer specific survival. The objective if this study is to examine whether PELP1 participates in ER-growth factor signaling cross talk via mTOR pathway. METHODS: To test this hypothesis, we have used ER-positive model cells (MCF7, ZR75) along with PELP1 over expressing (MCF7-PELP1, ZR75-PELP1) and PELP1 knock down cells (MCF7-PELP1 shRNA, ZR-75-PELP1 shRNA). Estrogen and Heregulin were used as signal inducers. Rapamycin that inhibit mTORC1 and AZD8055, an inhibitor of both mTORC1 and mTORC2 activities were used as pharmacological inhibitors to block mTOR pathway. The affect of blocking mTOR axis on PELP1 mediated oncogenic functions was determined using ERE and E2F reporter gene assays, cell proliferation (MTT) and anchorage independent assays. Cell cycle progression was monitored by flow cytometry. PELP1 modulation of mTOR signaling was validated using siRNA approach in MCF7, ZR75 cells and/or by PELP1 overexpression in PELP1-shRNA clones and evaluated the role of identified components for changes in the mTOR signaling using Western analysis. IHC analysis of mTOR signaling components was performed using tissues collected from PELP1 overexpressing and PELP1 siRNA liposome treated tumors. RESULTS: Over expression of PELP1 enhanced the estrogen and heregulin mediated cell proliferation in breast cancer cells. Knock down of PELP1 with siRNA significantly reduced the activation of mTOR signaling components (p70S6K and 4E-BP1). Accordingly, over expression of PELP1 in the breast cancer cells correlated with increased mTOR signaling. Pharmacological inhibition of mTOR substantially reduced PELP1 mediated ER coactivation functions in ERE reporter gene assays. Rapamycin (10−7M) or AZD8055 (10−8M) abolished PELP1 mediated growth advantage in estrogen and heregulin stimulated breast cancer cells. Further, combinatorial treatment of mTOR inhibitors sensitized PELP1 overexpressing cells to tamoxifen therapy. IHC studies using xenograft tissues with PELP1 overexpression or down regulation, showed correlation of PELP1 expression with the activation of mTOR signaling components. CONCLUSIONS: Our results suggest that PELP1 driven oncogenic functions involve PELP1 modulation of mTOR signaling and blockage of mTOR signaling render PELP1 driven tumors highly sensitive to therapeutic inhibition. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P2-02-07.

WNK1 Promotes PIP2 Synthesis to Coordinate Growth Factor and GPCR-Gq Signaling

PLC-β signaling is generally thought to be mediated by allosteric activation by G proteins and Ca(2+). Although availability of the phosphatidylinositol-4,5-biphosphate (PIP(2)) substrate is limiting in some cases, its production has not been shown to be independently regulated as a signaling mechanism. WNK1 protein kinase is known to regulate ion homeostasis and cause hypertension when expression is increased by gene mutations. However, its signaling functions remain largely elusive. Using diacylglycerol-stimulated TRPC6 and inositol trisphosphate-mediated Ca(2+) transients as cellular biosensors, we show that WNK1 stimulates PLC-β signaling in cells by promoting the synthesis of PIP(2) via stimulation of phosphatidylinositol 4-kinase IIIα. WNK1 kinase activity is not required. Stimulation of PLC-β by WNK1 and by Gα(q) are synergistic; WNK1 activity is essential for regulation of PLC-β signaling by G(q)-coupled receptors, and basal input from G(q) is necessary for WNK1 signaling via PLC-β. WNK1 further amplifies PLC-β signaling when it is phosphorylated by Akt kinase in response to insulin-like growth factor. WNK1 is a novel regulator of PLC-β that acts by controlling substrate availability. WNK1 thereby coordinates signaling between G protein and Akt kinase pathways. Because PIP(2) is itself a signaling molecule, regulation of PIP(2) synthesis by WNK1 also allows the cell to initiate PLC signaling while independently controlling the effects of PIP(2) on other targets. These findings describe a new signaling pathway for Akt-activating growth factors, a mechanism for G protein-growth factor crosstalk, and a means to independently control PLC signaling and PIP(2) availability.