XBP-1 increases ERalpha transcriptional activity through regulation of large-scale chromatin unfolding

CCDC170 affects breast cancer apoptosis through IRE1 pathway

Genome-wide association studies have revealed that multiple single-nucleotide polymorphisms in the intergenic region between estrogen receptor 1 and coiled-coil domain containing 170 (CCDC170) are associated with breast cancer risk. We performed microarray and bioinformatics analyses to identify genes that were induced upon CCDC170 overexpression, and confirmed our findings by evaluating paraffin-embedded breast cancer tissues and conducting cellular assays. In CCDC170-overexpressing MCF7 breast cancer cells, microarray analyses revealed that inositol-requiring enzyme 1 (IRE1) was the most elevated gene in enriched pathways. In breast cancer tissues, IRE1 expression correlated positively with CCDC170 and X-box binding protein 1 expression at both the mRNA and protein levels. In a survival analysis, patients with higher CCDC170 levels exhibited better disease-free survival. Western blotting indicated that overexpressing CCDC170 in MCF7 cells increased protein levels of IRE1α, estrogen receptor α and X-box binding protein 1, while silencing CCDC170 reduced them. CCDC170 overexpression promoted apoptosis in MCF7 cells, and this effect was more obvious under endoplasmic reticulum stress. MCF7 cells overexpressing CCDC170 were more sensitive to paclitaxel. Our study showed that higher CCDC170 expression is associated with a better prognosis in breast cancer patients and that CCDC170 may promote apoptosis through the IRE1α pathway.

Microarray data analysis reveals gene expression changes in response to ionizing radiation in MCF7 human breast cancer cells

Background

The aim of this study was to identify potential therapeutic target genes for breast cancer (BC) by the investigation of gene expression changes after ionizing radiation (IR) in BC cells. Gene expression profile GSE21748, including BC cell line MCF-7 samples at different time points after IR treatment, were downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified in different time points following IR compared with cell samples before IR, respectively. Gene ontology functions and The Kyoto Encyclopedia of Genes and Genomes pathways of the overlapping DEGs were enriched using DAVID. Transcription factor (TFs)-encoding genes were identified from the overlapping DEGs, followed by construction of transcriptional regulatory network and co-expression network.

Results

A total of 864 overlapping DEGs were identified, which were significantly enriched in regulation of cell proliferation and apoptosis, and cell cycle process. We found that FOXD1, STAT6, XBP1, STAT2, LMO2, TFAP4, STAT3, STAT1 were hub nodes in the transcriptional regulatory network of the overlapping DEGs. The co-expression network of target genes regulated by STAT3, STAT1, STAT6 and STAT2 included some key genes such as BCL2L1.

Conclusion

STAT1, STAT2, STAT3, STAT6, XBP1, BCL2L1, CYB5D2, ESCO2, and PARP2 were significantly affected by IR and they may be used as therapeutic gene targets in the treatment of BC.

Aberrant alternative splicing in breast cancer

Alternative splicing is critical for human gene expression regulation, which plays a determined role in expanding the diversity of functional proteins. Importantly, alternative splicing is a hallmark of cancer and a potential target for cancer therapeutics. Based on the statistical data, breast cancer is one of the top leading causes of cancer-related deaths in women worldwide. Strikingly, alternative splicing is closely associated with breast cancer development. Here, we seek to provide a general review of the relationship between alternative splicing and breast cancer. We introduce the process of alternative splicing and its regulatory role in cancers. In addition, we highlight the functions of aberrant alternative splicing and mutations of splicing factors in breast cancer progression. Moreover, we discuss the role of alternative splicing in cancer drug resistance and the potential of being targets for cancer therapeutics.

The Unfolded Protein Response in Breast Cancer

In 2018, in the US alone, it is estimated that 268,670 people will be diagnosed with breast cancer, and that 41,400 will die from it. Since breast cancers often become resistant to therapies, and certain breast cancers lack therapeutic targets, new approaches are urgently required. A cell-stress response pathway, the unfolded protein response (UPR), has emerged as a promising target for the development of novel breast cancer treatments. This pathway is activated in response to a disturbance in endoplasmic reticulum (ER) homeostasis but has diverse physiological and disease-specific functions. In breast cancer, UPR signalling promotes a malignant phenotype and can confer tumours with resistance to widely used therapies. Here, we review several roles for UPR signalling in breast cancer, highlighting UPR-mediated therapy resistance and the potential for targeting the UPR alone or in combination with existing therapies.

Nuclear expression of XBP1s is correlated with breast cancer survival: a retrospective analysis based on tissue microarray

An alternatively spliced transcription factor that participates in the unfolded protein response, XBP1 is a novel protein involved in cancer progression and outcome. This study aimed to investigate the relationship of spliced XBP1 (XBP1s) with the clinicopathological characteristics and prognosis of breast cancer by using tissue-microarray analysis. A consecutive series of 170 patients with breast cancer diagnosed between 2001 and 2004 in hospitals in eastern and southern China were included. Immunohistochemical staining for XBP1s was performed, and the expression of XBP1s was separately examined in nuclei and cytoplasm. We found that a higher expression of XBP1s in nuclei strongly correlated with poorer survival (46.7% versus 75%, P=0.018); however, the expression of XBP1s in the cytoplasm had no relationship with survival. Multivariate Cox regression analysis indicated that the expression of XBP1s was not an independent prognostic factor (RR 2.074, 95% CI 0.909–4.736; P=0.083). None of the other clinicopathological characteristics – age, pathology grade, T stage, N stage, TNM stage, estrogen receptor, progesterone receptor, or HER2 status – was found to be correlated with XBP1s expression in the nuclei. In conclusion, independently of other clinicopathological factors, the nuclear expression of XBP1s is correlated with shorter breast cancer survival; however, whether nuclear XBP1s is an independent prognostic biomarker needs to be confirmed by further studies with larger samples and detailed sample stratification.

Estrogen signaling and unfolded protein response in breast cancer

Activation of the unfolded protein response (UPR) confers resistance to anti-estrogens and chemotherapeutics in estrogen receptor α (ERα)-positive and triple-negative breast cancers. Among the regulators of the UPR in breast cancer is estrogen signaling. Estrogen regulates major components of the UPR and ER expression is associated with the sensitivity of tumor cells to UPR-regulated apoptosis. Recent studies have confirmed the crosstalk between the ERs and UPR and suggest novel therapeutic strategies that combine targeting of both signaling pathways. These remedies may be more effective in repressing oncogenic adaptive mechanisms and benefit patients with resistant disease.

A novel chemical, STF-083010, reverses tamoxifen-related drug resistance in breast cancer by inhibiting IRE1/XBP1

Recent studies show that the unfolded protein response (UPR) within the endoplasmic reticulum is correlated with breast cancer drug resistance. In particular, human X-box binding protein-1(XBP1), a transcription factor which participates in UPR stress signaling, is reported to correlate with poor clinical responsiveness to tamoxifen. In this study, we develop a tamoxifen-resistant MCF-7 cell line by treating the cell line with low concentration of tamoxifen, and we find that XBP1 is indeed up-regulated at both the mRNA and protein levels compared to normal MCF-7 cells. STF-083010, a novel inhibitor which specifically blocks the XBP1 splicing, reestablishes tamoxifen sensitivity to resistant MCF-7 cells. Moreover, co-treatment with STF-083010 and tamoxifen can significantly delay breast cancer progression in a xenograft mammary tumor model. We next investigate the expression of XBP1s in over 170 breast cancer patients' samples and the results demonstrate that XBP1s expression level is highly correlated with overall survival in the ER⁺ subgroup, but not in the ER⁻ subgroup, suggesting a potential therapeutic application of XBP1 inhibitors in ER⁺breast cancer treatment.

Anticipatory activation of the unfolded protein response by epidermal growth factor is required for immediate early gene expression and cell proliferation

The onco-protein epidermal growth factor (EGF) initiates a cascade that includes activation of the ERK and AKT signaling pathways and alters gene expression. We describe a new action of EGF-EGF receptor (EGFR), rapid anticipatory activation of the endoplasmic reticulum stress sensor, the unfolded protein response (UPR). Within 2 min, EGF elicits EGFR dependent activation of phospholipase C γ (PLCγ), producing inositol triphosphate (IP3), which binds to IP3 receptor (IP3R), opening the endoplasmic reticulum IP3R Ca(2+) channels, resulting in increased intracellular Ca(2+). This calcium release leads to transient and moderate activation of the IRE1α and ATF6α arms of the UPR, resulting in induction of BiP chaperone. Knockdown or inhibition of EGFR, PLCγ or IP3R blocks the increase in intracellular Ca(2+). While blocking the increase in intracellular Ca(2+) by locking the IP3R calcium channel with 2-APB had no effect on EGF activation of the ERK or AKT signaling pathways, it abolished the rapid EGF-mediated induction and repression of gene expression. Knockdown of ATF6α or XBP1, which regulate UPR-induced chaperone production, inhibited EGF stimulated cell proliferation. Supporting biological relevance, increased levels of EGF receptor during tumor progression were correlated with increased expression of the UPR gene signature. Anticipatory activation of the UPR is a new role for EGF. Since UPR activation occurs in <2 min, it is an initial cell response when EGF binds EGFR.

Involvement of the IRE1α-XBP1 pathway and XBP1s-dependent transcriptional reprogramming in metabolic diseases

The X-box binding protein 1 (XBP1) is not only an important component of the unfolded protein response (UPR), but also an important nuclear transcription factor. Upon endoplasmic reticulum stress, XBP1 is spliced by inositol-requiring enzyme 1 (IRE1), thereby generating functional spliced XBP1 (XBP1s). XBP1s functions by translocating into the nucleus to initiate transcriptional programs that regulate a subset of UPR- and non-UPR-associated genes involved in the pathophysiological processes of various diseases. Recent reports have implicated XBP1 in metabolic diseases. This review summarizes the effects of XBP1-mediated regulation on lipid metabolism, glucose metabolism, obesity, and atherosclerosis. Additionally, for the first time, we present XBP1s-dependent transcriptional reprogramming in metabolic diseases under different conditions, including pathology and physiology. Understanding the function of XBP1 in metabolic diseases may provide a basic knowledge for the development of novel therapeutic targets for ameliorating these diseases.

Transcriptional cross talk between orphan nuclear receptor ERRγ and transmembrane transcription factor ATF6α coordinates endoplasmic reticulum stress response

Orphan nuclear receptor ERRγ is a member of nuclear receptor superfamily that regulates several important cellular processes including hepatic glucose and alcohol metabolism. However, mechanistic understanding of transcriptional regulation of the ERRγ gene remains to be elucidated. Here, we report that activating transcription factor 6α (ATF6α), an endoplasmic reticulum (ER)-membrane–bound basic leucine zipper (bZip) transcription factor, directly regulates ERRγ gene expression in response to ER stress. ATF6α binds to ATF6α responsive element in the ERRγ promoter. The transcriptional coactivator peroxisome proliferator-activated receptor gamma coactivator 1-α (PGC-1α) is required for this transactivation. Chromatin immunoprecipitation (ChIP) assay confirmed the binding of both ATF6α and PGC1α on the ERRγ promoter. ChIP assay demonstrated histone H3 and H4 acetylation occurs at the ATF6α and PGC1α binding site. Of interest, ERRγ along with PGC1α induce ATF6α gene transcription upon ER stress. ERRγ binds to an ERRγ responsive element in the ATF6α promoter. ChIP assay confirmed that both ERRγ and PGC1α bind to a site in the ATF6α promoter that exhibits histone H3 and H4 acetylation. Overall, for the first time our data show a novel pathway of cross talk between nuclear receptors and ER-membrane–bound transcription factors and suggest a positive feed-forward loop regulates ERRγ and ATF6α gene transcription.

Tyrosine-phosphorylated caveolin-1 (Tyr-14) increases sensitivity to paclitaxel by inhibiting BCL2 and BCLxL proteins via c-Jun N-terminal kinase (JNK)

Paclitaxel, an anti-microtubule agent, is an effective chemotherapeutic drug in breast cancer. Nonetheless, resistance to paclitaxel remains a major clinical challenge. The need to better understand the resistant phenotype and to find biomarkers that could predict tumor response to paclitaxel is evident. In estrogen receptor α-positive (ER(+)) breast cancer cells, phosphorylation of caveolin-1 (CAV1) on Tyr-14 facilitates mitochondrial apoptosis by increasing BCL2 phosphorylation in response to low dose paclitaxel (10 nM). However, two variants of CAV1 exist: the full-length form, CAV1α (wild-type CAV1 or wtCAV1), and a truncated form, CAV1β. Only wtCAV1 has the Tyr-14 region at the N terminus. The precise cellular functions of CAV1 variants are unknown. We now show that CAV1 variants play distinct roles in paclitaxel-mediated cell death/survival. CAV1β expression is increased in paclitaxel-resistant cells when compared with sensitive cells. Expression of CAV1β in sensitive cells significantly reduces their responsiveness to paclitaxel. These activities reflect an essential role for Tyr-14 phosphorylation because wtCAV1 expression, but not a phosphorylation-deficient mutant (Y14F), inactivates BCL2 and BCLxL through activation of c-Jun N-terminal kinase (JNK). MCF-7 cells that express Y14F are resistant to paclitaxel and are resensitized by co-treatment with ABT-737, a BH3-mimetic small molecule inhibitor. Using structural homology modeling, we propose that phosphorylation on Tyr-14 enables a favorable conformation for proteins to bind to the CAV1 scaffolding domain. Thus, we highlight novel roles for CAV1 variants in cell death; wtCAV1 promotes cell death, whereas CAV1β promotes cell survival by preventing inactivation of BCL2 and BCLxL via JNK in paclitaxel-mediated apoptosis.

Relationships of ESR1 and XBP1 expression in human breast carcinoma and stromal cells isolated by laser capture microdissection compared to intact breast cancer tissue

Results from investigations of human genomics which utilize intact tissue biopsy specimens maybe compromised due to a host of uncontrolled variables including cellular heterogeneity of a sample collected under diverse conditions, then processed and stored using different protocols. To determine the cellular origin and assess relationships of mRNA expression of two genes reported to be co-expressed in human breast carcinoma (estrogen receptor-α, ESR1 and X-box binding protein 1, XBP1), gene expression analyses were performed with intact tissue sections and compared with those of laser capture microdissection (LCM)-procured carcinoma and stromal cells from serial sections of the same tissue. Frozen sections of human breast carcinomas were first evaluated for structural integrity and pathology after hematoxylin and eosin (H&E) staining. Total RNA preparations from intact tissue sections and LCM-procured carcinoma and stromal cells were reverse transcribed for measurements of ESR1 and XBP1 expression by quantitative PCR (qPCR). These results were compared with those obtained from microarray analyses of LCM-procured carcinoma cells. Levels of ESR1 and XBP1 were detected in the intact breast cancer tissue sections suggesting coordinate gene expression. Although coordinate expression of these genes was observed in the LCM-procured carcinoma cells, it was not discerned in LCM-procured stromal cells. The origin of coordinate expression of ESR1 and XBP1 observed in whole tissue sections of human breast cancer biopsies is due principally to their co-expression in carcinoma cells and not in the surrounding stromal cells as substantiated using LCM-procured cells. Collectively, a microgenomic process was established from human tissue preparation to RNA characterization and analysis to identify molecular signatures of specific cell types predicting clinical behavior.

Orphan nuclear receptors in breast cancer pathogenesis and therapeutic response

Nuclear receptors comprise a large family of highly conserved transcription factors that regulate many key processes in normal and neoplastic tissues. Most nuclear receptors share a common, highly conserved domain structure that includes a carboxy-terminal ligand-binding domain. However, a subgroup of this gene family is known as the orphan nuclear receptors because to date there are no known natural ligands that regulate their activity. Many of the 25 nuclear receptors classified as orphan play critical roles in embryonic development, metabolism, and the regulation of circadian rhythm. Here, we review the emerging role(s) of orphan nuclear receptors in breast cancer, with a particular focus on two of the estrogen-related receptors (ERRalpha and ERRgamma) and several others implicated in clinical outcome and response or resistance to cytotoxic or endocrine therapies, including the chicken ovalbumin upstream promoter transcription factors, nerve growth factor-induced B, DAX-1, liver receptor homolog-1, and retinoic acid-related orphan receptor alpha. We also propose that a clearer understanding of the function of orphan nuclear receptors in mammary gland development and normal mammary tissues could significantly improve our ability to diagnose, treat, and prevent breast cancer.

Estrogen regulation of X-box binding protein-1 and its role in estrogen induced growth of breast and endometrial cancer cells

BACKGROUND: X-box binding protein 1 (XBP1), a transcription factor involved in unfolded protein response, is also an estrogen-regulated gene and strongly correlates with estrogen receptor alpha (ERα) expression in breast cancers. We investigated the functional role of XBP1 in estrogen responsive breast and endometrial cancer cells as its functions are not fully understood. MATERIALS AND METHODS: ERα positive breast (MCF7) and endometrial (ECC1) cancer cells were used to study XBP1 gene regulation by 17-β-estradiol (E2) and to investigate the role of XBP1 in E2-mediated growth using short interfering RNA. Quantitative real-time PCR and Western blot were used to assess RNA and protein levels. Recruitment of ERα and other cofactors at the promoter and enhancer region of the XBP1 gene was investigated by chromatin immunoprecipitation. Estrogen responsive element (ERE)-mediated transcriptional activity was evaluated by a luciferase reporter assay. RESULTS: E2 induced the transcription of XBP1 in both MCF7 and ECC1 cells. E2-dependent recruitment of ERα, steroid receptor coactivator (SRC)-1 and SRC-3, and RNA polymerase II were observed at the promoter and/or enhancer region of the XBP1 gene. Depletion of XBP1 markedly inhibited the E2-induced growth in MCF7 and ECC1 cells. However, ERE-mediated transcription was not altered in XBP1-overexpressing or XBP1-depleted MCF7 cells. CONCLUSION: Our results confirm E2-induced transcription of XBP1 and demonstrate the crucial role of XBP1 in E2-induced growth of ERα positive breast and endometrial cancer cells without modulating the classical ERE-mediated transcription by ER. This knowledge creates new opportunities for therapeutic interventions.

The role of X-box binding protein-1 in tumorigenicity

Rapid growth of a tumor can overwhelm the vasculature that supplies it with nutrients and oxygen. Inside such tumors, cells undergo endoplasmic reticulum stress but can survive such adverse microenvironments by an adaptive mechanism called the unfolded protein response (UPR). X-box binding protein-1 (XBP-1) is a critical transcriptional activator of the UPR and is responsible for regulating the function of genes in cell survival. An unconventional splicing of the XBP-1(U) messenger RNA (mRNA) results in two proteins: XBP-1(S) that is often increased in a variety of human cancers and any translated proteins from the unspliced XBP-1(U) mRNA that acts as a dominant negative of endogenous XBP-1(S) action. In cancer cells, overexpression of XBP-1 can confer drug resistance by preventing drug-induced cell-cycle arrest and mitochondrial permeability and apoptosis, while downregulation of XBP-1 increases the sensitivity to killing by hypoxia. XBP-1 is also implicated in cellular de-differentiation, oncovirus infection and the epithelial-to-mesenchymal transition. Given that XBP-1 mediates a wide range of responses in tumorigenesis, it is logical to focus on XBP-1 as an anticancer therapeutic target. Furthermore, combining inhibitors of XBP-1 with other anti-UPR drugs may enhance the activity of some antineoplastic therapies.

Study of transcription activity of X-box binding protein 1 gene in human different cell lines

Human X-box binding protein 1 (XBP1), an important transcription factor, participates in many signal transduction processes. To further investigate the biological function of XBP1, sequences of XBP1 promoter and its two deletion mutants were first determined using bioinformatic analysis. The report vectors containing XBP1 promoter and its deletion mutants were then constructed, namely, p1-XBP1p, p2-XBP1p, and p3-XBP1p. Each reporter vector was separately transfected into HepG(2), L0(2), K562, SMMC-7721, HSF, and Lipocyte Ito Cell line using FuGENE 6 transfection reagents. The activity of chloramphenicol acetyltransferase (CAT) in each group of transfected cells was detected by ELISA assay, which in turn reflects the transcription activity of the XBP1 gene promoter. The activity involving p3-XBP1p was the highest in HepG(2), which was 12.4-fold of that of pCAT3-Basic. The activities of p3-XBP1p in K562 and SMMC-7721 were the second and the third highest, which were 10.9-fold and 10.0-fold of that of the pCAT3-Basic, respectively. The CAT activity in L0(2) was lower than that in the above-mentioned abnormal cell, and no reporter activity was detected in HSF and Ito Cell. The XBP1 transcription and expression in K562, HepG(2) and SMMC-7721 were found to be higher than that in L0(2), HSF and Ito cells, based on the results of real-time RT-PCR and Western blot. The XBP1 transcription and expression in L0(2), HSF was lower, whereas that in Ito cells was totally lacking. The result was similar to that of CAT-ELISA. Therefore, the XBP1 gene promoter can drive its downstream gene expression and its activity is cell line-dependent. The core sequence of XBP1 promoter was found between -227bp and 66bp sequence. This sequence was closely associated with the transcriptional activity of XBP1 promoter.

Differential dependency network analysis to identify condition-specific topological changes in biological networks

MOTIVATION

Significant efforts have been made to acquire data under different conditions and to construct static networks that can explain various gene regulation mechanisms. However, gene regulatory networks are dynamic and condition-specific; under different conditions, networks exhibit different regulation patterns accompanied by different transcriptional network topologies. Thus, an investigation on the topological changes in transcriptional networks can facilitate the understanding of cell development or provide novel insights into the pathophysiology of certain diseases, and help identify the key genetic players that could serve as biomarkers or drug targets.

RESULTS

Here, we report a differential dependency network (DDN) analysis to detect statistically significant topological changes in the transcriptional networks between two biological conditions. We propose a local dependency model to represent the local structures of a network by a set of conditional probabilities. We develop an efficient learning algorithm to learn the local dependency model using the Lasso technique. A permutation test is subsequently performed to estimate the statistical significance of each learned local structure. In testing on a simulation dataset, the proposed algorithm accurately detected all the genes with network topological changes. The method was then applied to the estrogen-dependent T-47D estrogen receptor-positive (ER+) breast cancer cell line datasets and human and mouse embryonic stem cell datasets. In both experiments using real microarray datasets, the proposed method produced biologically meaningful results. We expect DDN to emerge as an important bioinformatics tool in transcriptional network analyses. While we focus specifically on transcriptional networks, the DDN method we introduce here is generally applicable to other biological networks with similar characteristics.

AVAILABILITY

The DDN MATLAB toolbox and experiment data are available at http://www.cbil.ece.vt.edu/software.htm.

Role of estrogen receptor alpha transcriptional coregulators in tamoxifen resistance in breast cancer

Tamoxifen is the endocrine agent most commonly used at all stages of breast cancer. Estrogen receptor (ER) alpha, which belongs to the superfamily of nuclear receptors, has been used to identify breast cancer patients who are likely to respond to tamoxifen, but resistance nonetheless occurs in 30-50% of treated ER alpha-positive breast cancer patients. The antiproliferative activity of tamoxifen, relying primarily on its ability to compete with estrogen for the ER alpha ligand binding site in breast tumor tissue, hypotheses forwarded to explain treatment failure include: (1) the existence of a second estrogen receptor (ER beta), (2) an imbalance in estrogen biosynthesis and catabolism, (3) altered bioavailability of tamoxifen, (4) altered cellular trafficking of ER alpha, (5) non genomic effects of ER alpha, directly interacting with several signal transduction pathways, and (6) transcriptional dysregulation of ER alpha target genes, which may involve both genomic (ERE alteration) and non genomic alterations. A first non genomic alteration involves the regulation of ER alpha activity by its phosphorylation mediated by growth factors-kinases signaling pathways. A second non genomic alteration, which is the purpose of this review, involves regulatory factors (coregulators) known as coactivators and corepressors, which activate (or repress) the transcription of ER alpha-responsive genes. The regulation process involves both chromatin remodeling and ER alpha interaction with the transcriptional machinery. Thus, dysregulated expression (coactivator overexpression or corepressor underexpression) and/or mutation of these coregulators is thought to impair the action of tamoxifen. Many altered pathways may account for tamoxifen resistance which may be best studied by multigene approaches.

Stimulatory Cross-talk between NFAT3 and Estrogen Receptor in Breast Cancer Cells

Estrogen receptors (ERalpha and ERbeta) are ligand-regulated transcription factors that play critical roles in the development and progression of breast cancer by regulating target genes involved in cellular proliferation. The transcriptional activity of ERalpha and ERbeta is known to be modulated by cofactor proteins. We used a yeast two-hybrid system and identified NFAT3 as a novel ERbeta-binding protein. NFAT3 interacted with ERalpha and ERbeta both in vitro and in mammalian cells in a ligand-independent fashion. NFAT3 bound specifically to the ERbeta region containing the activation function-1 domain, a ligand-independent transactivation domain. Overexpression of NFAT3 enhanced both ERalpha and ERbeta transcriptional activities in a ligand-independent manner and up-regulated downstream estrogen-responsive genes including pS2 and cathepsin D. Reduction of endogenous NFAT3 with NFAT3 small interfering RNA or overexpression of NFAT3 deletion mutants that lack the ER-binding sites reduced the NFAT3 coactivation of ERalpha and ERbeta. NFAT3 increased binding of ERalpha to the estrogen-responsive element and was recruited to endogenous estrogen-responsive promoters. NFAT3 was expressed differentially in many breast cancer cell lines and overexpressed in a subset of breast cancer patients. Knockdown of endogenous NFAT3 reduced the growth of human breast cancer ZR75-1 cells in a ligand-independent manner. Taken together, these results suggest that NFAT3 may play important roles in ER signaling and represent a novel target for breast cancer therapy.

Human pescadillo induces large-scale chromatin unfolding

The human pescadillo gene encodes a protein with a BRCT domain. Pescadillo plays an important role in DNA synthesis, cell proliferation and transformation. Since BRCT domains have been shown to induce chromatin large-scale unfolding, we tested the role of Pescadillo in regulation of large-scale chromatin unfolding. To this end, we isolated the coding region of Pescadillo from human mammary MCF10A cells. Compared with the reported sequence, the isolated Pescadillo contains in-frame deletion from amino acid 580 to 582. Targeting the Pescadillo to an amplified, lac operator-containing chromosome region in the mammalian genome results in large-scale chromatin decondensation. This unfolding activity maps to the BRCT domain of Pescadillo. These data provide a new clue to understanding the vital role of Pescadillo.