Emerging Roles of SRC Family of Coactivators in Disease Pathology
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Cross-Talk Between HER2 and MED1 Regulates Tamoxifen Resistance of Human Breast Cancer Cells
Published OnlineFirst September 10, 2012; DOI: 10.1158/0008-5472.CAN-12-1305 Cancer Tumor and Stem Cell Biology Research Cross-talk between HER2 and MED1 Regulates Tamoxifen Resistance of Human Breast Cancer Cells Jiajun Cui1, Katherine Germer1, Tianying Wu2, Jiang Wang3, Jia Luo5, Shao-chun Wang1, Qianben Wang4, and Xiaoting Zhang1 Abstract Despite the fact that most breast cancer patients have estrogen receptor (ER) a-positive tumors, up to 50% of the patients are or soon develop resistance to endocrine therapy. It is recognized that HER2 activation is one of the major mechanisms contributing to endocrine resistance. In this study, we report that the ER coactivator MED1 is a novel cross-talk point for the HER2 and ERa pathways. Tissue microarray analysis of human breast cancers revealed that MED1 expression positively correlates most strongly with HER2 status of the tumors. MED1 was highly phosphorylated, in a HER2-dependent manner, at the site known to be critical for its activation. Importantly, RNAi-mediated attenuation of MED1 sensitized HER2-overexpressing cells to tamoxifen treatment. MED1 and its phosphorylated form, but not the corepressors N-CoR and SMRT, were recruited to the ERa target gene promoter by tamoxifen in HER2-overexpressing cells. Significantly, MED1 attenuation or mutation of MED1 phosphorylation sites was sufficient to restore the promoter recruitment of N-CoR and SMRT. Notably, we found that MED1 is required for the expression of not only traditional E2-ERa target genes but also the newly described EGF-ERa target genes. Our results additionally indicated that MED1 is recruited to the HER2 gene and required for its expression. -
Key Roles for MED1 Lxxll Motifs in Pubertal Mammary Gland Development and Luminal-Cell Differentiation
Key roles for MED1 LxxLL motifs in pubertal mammary gland development and luminal-cell differentiation Pingping Jianga,b,1, Qiuping Hua,1, Mitsuhiro Itoc,1,3, Sara Meyera, Susan Waltza, Sohaib Khana, Robert G. Roederc,2, and Xiaoting Zhanga,2 aDepartment of Cancer and Cell Biology, College of Medicine, University of Cincinnati, 3125 Eden Avenue, OH 45267; bCollege of Life Sciences, Zhejiang University, 388 Yuhangtang Road, Hangzhou 310058, China; and cLaboratory of Biochemistry and Molecular Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065 Contributed by Robert G. Roeder, February 16, 2010 (sent for review January 18, 2010) Mediator recently has emerged as a central player in the direct (7–9). In general, individual Mediator subunits interact transduction of signals from transcription factors to the general specifically with their corresponding transcription factors and de- transcriptional machinery. In the case of nuclear receptors, in vitro letions of these Mediator subunits often affect expression primar- studies have shown that the transcriptional coactivator function of ily of target genes and pathways controlled by their corresponding the Mediator involves direct ligand-dependent interactions of the transcription factor(s) (9). In the case of nuclear receptors, the MED1 subunit, through its two classical LxxLL motifs, with the re- Mediator interactions are ligand- and AF-2-dependent and ceptor AF2 domain. However, despite the strong in vitro evidence, mediated through the LxxLL motifs in the MED1 (a.k.a. there currently is little information regarding in vivo functions of TRAP220/PBP/DRIP205) subunit (10–13). Importantly, in rela- the LxxLL motifs either in MED1 or in other coactivators. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Estrogen-Related Receptor Alpha: an Under-Appreciated Potential Target for the Treatment of Metabolic Diseases
International Journal of Molecular Sciences Review Estrogen-Related Receptor Alpha: An Under-Appreciated Potential Target for the Treatment of Metabolic Diseases Madhulika Tripathi, Paul Michael Yen and Brijesh Kumar Singh * Laboratory of Hormonal Regulation, Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore 169857, Singapore; [email protected] (M.T.); [email protected] (P.M.Y.) * Correspondence: [email protected] Received: 7 February 2020; Accepted: 24 February 2020; Published: 28 February 2020 Abstract: The estrogen-related receptor alpha (ESRRA) is an orphan nuclear receptor (NR) that significantly influences cellular metabolism. ESRRA is predominantly expressed in metabolically-active tissues and regulates the transcription of metabolic genes, including those involved in mitochondrial turnover and autophagy. Although ESRRA activity is well-characterized in several types of cancer, recent reports suggest that it also has an important role in metabolic diseases. This minireview focuses on the regulation of cellular metabolism and function by ESRRA and its potential as a target for the treatment of metabolic disorders. Keywords: estrogen-related receptor alpha; mitophagy; mitochondrial turnover; metabolic diseases; non-alcoholic fatty liver disease (NAFLD); adipogenesis; adaptive thermogenesis 1. Introduction When the estrogen-related receptor alpha (ESRRA) was first cloned, it was found to be a nuclear receptor (NR) that had DNA sequence homology to the estrogen receptor alpha (ESR1) [1]. There are several examples of estrogen-related receptor (ESRR) and estrogen-signaling cross-talk via mutual transcriptional regulation or reciprocal binding to each other’s response elements of common target genes in a context-specific manner [2,3]. -
Genome-Wide Analysis of Androgen Receptor Binding and Gene Regulation in Two CWR22-Derived Prostate Cancer Cell Lines
Endocrine-Related Cancer (2010) 17 857–873 Genome-wide analysis of androgen receptor binding and gene regulation in two CWR22-derived prostate cancer cell lines Honglin Chen1, Stephen J Libertini1,4, Michael George1, Satya Dandekar1, Clifford G Tepper 2, Bushra Al-Bataina1, Hsing-Jien Kung2,3, Paramita M Ghosh2,3 and Maria Mudryj1,4 1Department of Medical Microbiology and Immunology, University of California Davis, 3147 Tupper Hall, Davis, California 95616, USA 2Division of Basic Sciences, Department of Biochemistry and Molecular Medicine, Cancer Center and 3Department of Urology, University of California Davis, Sacramento, California 95817, USA 4Veterans Affairs Northern California Health Care System, Mather, California 95655, USA (Correspondence should be addressed to M Mudryj at Department of Medical Microbiology and Immunology, University of California, Davis; Email: [email protected]) Abstract Prostate carcinoma (CaP) is a heterogeneous multifocal disease where gene expression and regulation are altered not only with disease progression but also between metastatic lesions. The androgen receptor (AR) regulates the growth of metastatic CaPs; however, sensitivity to androgen ablation is short lived, yielding to emergence of castrate-resistant CaP (CRCaP). CRCaP prostate cancers continue to express the AR, a pivotal prostate regulator, but it is not known whether the AR targets similar or different genes in different castrate-resistant cells. In this study, we investigated AR binding and AR-dependent transcription in two related castrate-resistant cell lines derived from androgen-dependent CWR22-relapsed tumors: CWR22Rv1 (Rv1) and CWR-R1 (R1). Expression microarray analysis revealed that R1 and Rv1 cells had significantly different gene expression profiles individually and in response to androgen. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Transcriptomic and Proteomic Profiling Provides Insight Into
BASIC RESEARCH www.jasn.org Transcriptomic and Proteomic Profiling Provides Insight into Mesangial Cell Function in IgA Nephropathy † † ‡ Peidi Liu,* Emelie Lassén,* Viji Nair, Celine C. Berthier, Miyuki Suguro, Carina Sihlbom,§ † | † Matthias Kretzler, Christer Betsholtz, ¶ Börje Haraldsson,* Wenjun Ju, Kerstin Ebefors,* and Jenny Nyström* *Department of Physiology, Institute of Neuroscience and Physiology, §Proteomics Core Facility at University of Gothenburg, University of Gothenburg, Gothenburg, Sweden; †Division of Nephrology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan; ‡Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; |Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and ¶Integrated Cardio Metabolic Centre, Karolinska Institutet Novum, Huddinge, Sweden ABSTRACT IgA nephropathy (IgAN), the most common GN worldwide, is characterized by circulating galactose-deficient IgA (gd-IgA) that forms immune complexes. The immune complexes are deposited in the glomerular mesangium, leading to inflammation and loss of renal function, but the complete pathophysiology of the disease is not understood. Using an integrated global transcriptomic and proteomic profiling approach, we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsy specimens from patients with IgAN (n=19) and controls (n=22). Using curated glomerular cell type–specific genes from the published literature, we found differential expression of a much higher percentage of mesangial cell–positive standard genes than podocyte-positive standard genes in IgAN. Principal coordinate analysis of expression data revealed clear separation of patient and control samples on the basis of mesangial but not podocyte cell–positive standard genes. -
PRMT5 Modulates the Metabolic Response to Fasting Signals
PRMT5 modulates the metabolic response to fasting signals Wen-Wei Tsaia, Sherry Niessenb, Naomi Goebela, John R. Yates IIIb, Ernesto Guccionec,d, and Marc Montminya,1 aThe Clayton Foundation Laboratories for Peptide Biology, Salk Institute, La Jolla, CA 92037; bDepartment of Chemical Physiology, The Scripps Research Institute, La Jolla, CA 92037; cInstitute of Molecular and Cell Biology, Proteos, Singapore 138673; dDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074 Contributed by Marc Montminy, March 11, 2013 (sent for review February 20, 2013) Under fasting conditions, increases in circulating glucagon maintain sites. The results provide a mechanism to explain how latent cy- glucose balance by promoting hepatic gluconeogenesis. Triggering toplasmic regulators such as CRTC2 may contribute to signaling of the cAMP pathway stimulates gluconeogenic gene expression in the nucleus through their association with chromatin mod- through the PKA-mediated phosphorylation of the cAMP response ifying enzymes. element binding (CREB) protein and via the dephosphorylation of the latent cytoplasmic CREB regulated transcriptional coactivator 2 Results (CRTC2). CREB and CRTC2 activities are increased in insulin resis- In mass spectroscopy studies using epitope-tagged CRTC2 to tance, in which they promote hyperglycemia because of constitu- identify relevant interacting proteins, we recovered the protein tive induction of the gluconeogenic program. The extent to which arginine methyltransferase 5 (PRMT5) (Fig. S1 A and B). We CREB and CRTC2 are coordinately up-regulated in response to glu- confirmed the CRTC2:PRMT5 interaction in coimmunopreci- cagon, however, remains unclear. Here we show that, following its pitation studies with epitope-tagged proteins (Fig. -
Adiponectin Suppresses Gluconeogenic Gene Expression in Mouse Hepatocytes Independent of LKB1-AMPK Signaling
Adiponectin suppresses gluconeogenic gene expression in mouse hepatocytes independent of LKB1-AMPK signaling Russell A. Miller, … , Benoit Viollet, Morris J. Birnbaum J Clin Invest. 2011;121(6):2518-2528. https://doi.org/10.1172/JCI45942. Research Article Metabolism The adipocyte-derived hormone adiponectin signals from the fat storage depot to regulate metabolism in peripheral tissues. Inversely correlated with body fat levels, adiponectin reduction in obese individuals may play a causal role in the symptoms of metabolic syndrome. Adiponectin lowers serum glucose through suppression of hepatic glucose production, an effect attributed to activation of AMPK. Here, we investigated the signaling pathways that mediate the effects of adiponectin by studying mice with inducible hepatic deletion of LKB1, an upstream regulator of AMPK. We found that loss of LKB1 in the liver partially impaired the ability of adiponectin to lower serum glucose, though other actions of the hormone were preserved, including reduction of gluconeogenic gene expression and hepatic glucose production as assessed by euglycemic hyperinsulinemic clamp. Furthermore, in primary mouse hepatocytes, the absence of LKB1, AMPK, or the transcriptional coactivator CRTC2 did not prevent adiponectin from inhibiting glucose output or reducing gluconeogenic gene expression. These results reveal that whereas some of the hormone’s actions in vivo may be LKB1 dependent, substantial LKB1-, AMPK-, and CRTC2-independent signaling pathways also mediate effects of adiponectin. Find the latest version: https://jci.me/45942/pdf Research article Adiponectin suppresses gluconeogenic gene expression in mouse hepatocytes independent of LKB1-AMPK signaling Russell A. Miller,1 Qingwei Chu,1 John Le Lay,1 Philipp E. Scherer,2 Rexford S. -
RB1: a Prototype Tumor Suppressor and an Enigma
Downloaded from genesdev.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW RB1: a prototype tumor suppressor and an enigma Nicholas J. Dyson Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA The retinoblastoma susceptibility gene (RB1) was the first through the expression of viral oncoproteins that target tumor suppressor gene to be molecularly defined. RB1 pRB. The inactivation of pRB compromises the ability of mutations occur in almost all familial and sporadic forms cells to exit the cell cycle, and this places them in a state of retinoblastoma, and this gene is mutated at variable fre- that is highly susceptible to oncogenic proliferation (for a quencies in a variety of other human cancers. Because of review, see Hinds and Weinberg 1994; Weinberg 1995; its early discovery, the recessive nature of RB1 mutations, Sherr 1996; Nevins 2001). and its frequency of inactivation, RB1 is often described as As readers of the RB literature will appreciate, this de- a prototype for the class of tumor suppressor genes. Its scription glosses over several inconvenient gaps in the gene product (pRB) regulates transcription and is a nega- data, and research over the past two decades has given tive regulator of cell proliferation. Although these general us an increasingly complex picture of pRB action (Fig. 2). features are well established, a precise description of Although E2F is the best-known target of pRB, mapping pRB’s mechanism of action has remained elusive. Indeed, the genome-wide distribution of pRB on chromatin has in many regards, pRB remains an enigma. -
Fig1-13Tab1-5.Pdf
Supplementary Information Promoter hypomethylation of EpCAM-regulated bone morphogenetic protein genes in advanced endometrial cancer Ya-Ting Hsu, Fei Gu, Yi-Wen Huang, Joseph Liu, Jianhua Ruan, Rui-Lan Huang, Chiou-Miin Wang, Chun-Liang Chen, Rohit R. Jadhav, Hung-Cheng Lai, David G. Mutch, Paul J. Goodfellow, Ian M. Thompson, Nameer B. Kirma, and Tim Hui-Ming Huang Tables of contents Page Table of contents 2 Supplementary Methods 4 Supplementary Figure S1. Summarized sequencing reads and coverage of MBDCap-seq 8 Supplementary Figure S2. Reproducibility test of MBDCap-seq 10 Supplementary Figure S3. Validation of MBDCap-seq by MassARRAY analysis 11 Supplementary Figure S4. Distribution of differentially methylated regions (DMRs) in endometrial tumors relative to normal control 12 Supplementary Figure S5. Network analysis of differential methylation loci by using Steiner-tree analysis 13 Supplementary Figure S6. DNA methylation distribution in early and late stage of the TCGA endometrial cancer cohort 14 Supplementary Figure S7. Relative expression of BMP genes with EGF treatment in the presence or absence of PI3K/AKT and Raf (MAPK) inhibitors in endometrial cancer cells 15 Supplementary Figure S8. Induction of invasion by EGF in AN3CA and HEC1A cell lines 16 Supplementary Figure S9. Knockdown expression of BMP4 and BMP7 in RL95-2 cells 17 Supplementary Figure S10. Relative expression of BMPs and BMPRs in normal endometrial cell and endometrial cancer cell lines 18 Supplementary Figure S11. Microfluidics-based PCR analysis of EMT gene panel in RL95-2 cells with or without EGF treatment 19 Supplementary Figure S12. Knockdown expression of EpCAM by different shRNA sequences in RL95-2 cells 20 Supplementary Figure S13. -
Trim24-Regulated Estrogen Response Is Dependent on Specific Histone Modifications in Breast Cancer Cells
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 12-2012 TRIM24-REGULATED ESTROGEN RESPONSE IS DEPENDENT ON SPECIFIC HISTONE MODIFICATIONS IN BREAST CANCER CELLS Teresa T. Yiu Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Biochemistry Commons, Cancer Biology Commons, Medicine and Health Sciences Commons, and the Molecular Biology Commons Recommended Citation Yiu, Teresa T., "TRIM24-REGULATED ESTROGEN RESPONSE IS DEPENDENT ON SPECIFIC HISTONE MODIFICATIONS IN BREAST CANCER CELLS" (2012). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 313. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/313 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. TRIM24-REGULATED ESTROGEN RESPONSE IS DEPENDENT ON SPECIFIC HISTONE