Inter-Individual Variation in Response to Estrogen and Implications for Breast Cancer Risk

Total Page:16

File Type:pdf, Size:1020Kb

Inter-Individual Variation in Response to Estrogen and Implications for Breast Cancer Risk University of Massachusetts Amherst ScholarWorks@UMass Amherst Doctoral Dissertations Dissertations and Theses 5-8-2020 INTER-INDIVIDUAL VARIATION IN RESPONSE TO ESTROGEN AND IMPLICATIONS FOR BREAST CANCER RISK Amye L. Black University of Massachusetts Amherst Follow this and additional works at: https://scholarworks.umass.edu/dissertations_2 Part of the Cancer Biology Commons, and the Developmental Biology Commons Recommended Citation Black, Amye L., "INTER-INDIVIDUAL VARIATION IN RESPONSE TO ESTROGEN AND IMPLICATIONS FOR BREAST CANCER RISK" (2020). Doctoral Dissertations. 1976. https://doi.org/10.7275/gxe7-4m14 https://scholarworks.umass.edu/dissertations_2/1976 This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. INTER-INDIVIDUAL VARIATION IN RESPONSE TO ESTROGEN AND IMPLICATIONS FOR BREAST CANCER RISK A Dissertation Presented by AMYE L. BLACK Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2020 Molecular and Cellular Biology © Copyright by Amye L. Black 2020 All Rights Reserved INTER-INDIVIDUAL VARIATION IN RESPONSE TO ESTROGEN AND IMPLICATIONS FOR BREAST CANCER RISK A Dissertation Presented by AMYE L. BLACK Approved as to style and content by: ____________________________________ D. Joseph Jerry, Chair ____________________________________ Sallie S. Schneider, Member ____________________________________ Kathleen Arcaro, Member ____________________________________ Thomas Zoeller, Member ____________________________________ Scott Garman, Director Molecular and Cellular Biology DEDICATION To my family, for their never-ending support. ACKNOWLEDGMENTS I would like to thank my advisor, D. Joseph Jerry, for welcoming me into the lab and giving me this great opportunity to work with primary human tissue and cell models. He has always encouraged me to push myself, and in doing so has helped me develop as a scientist. I am also grateful for the support of Karen Dunphy, whose advice has been instrumental to my growth as a scientist. In addition, I need to thank all the Jerry lab members, past and present, who have helped me along the way including Amy Roberts, Libby Daniele, Aliza Majewski, Prabin Dhangada Majhi, Aman Sharma, Ceren Goral, Mary Hagen, and Shakirah Ssebyala. Through lab meeting discussions and informal conversations, you helped me develop project ideas and push forward with this work. I am especially thankful for the support of Amy Roberts, who has helped me out in the lab more times than I can count. I am also thankful for the guidance of my committee members Sallie Schneider, Kathleen Arcaro, and Thomas Zoeller throughout this journey. Their support and helpful suggestions at our meetings were crucial to finishing this work. I especially thank Sallie Schneider and her lab members Stephanie Morin, Kelly Gregory, and Jennifer Ser- Dolansky for their collaboration over the years. I also need to thank Michele Markstein for her support during my first lab rotation and beyond. Lastly, I would like to thank my family and friends. I would not have been able to finish this work without your support. v ABSTRACT INTER-INDIVIDUAL VARIATION IN RESPONSE TO ESTROGEN AND IMPLICATIONS FOR BREAST CANCER RISK MAY 2020 AMYE L. BLACK, B.S., UNIVERSITY OF CONNECTICUT Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: D. Joseph Jerry Breast cancer is the second leading cause of cancer related death among women and the most prevalent cancer type in women worldwide. Many risk factors for breast cancer are related to estrogen exposure, including early menarche, late menopause, nulliparity, hormone replacement therapy, and high serum estrogen levels. These factors all involve prolonged or high levels of estrogen exposure. However, estrogen exposure during early pregnancy lowers risk by up to 50% and high dose estrogen treatment is an effective antitumor treatment in postmenopausal women. The mechanisms behind estrogen’s paradoxical role in both contributing to and reducing breast cancer risk are currently unknown. We hypothesized that a subset of women may be more sensitive to estrogen exposure, and the following experiments were designed to test this hypothesis and determine if sensitivity to estrogen is due to estrogen receptor levels or downstream regulation of estrogen signaling using 3 human breast tissue or cell models. Our first model used to characterize responses to estrogen treatment was the human breast ex-vivo explant model. Donor human breast explants were treated with control or estrogen for 4 days and then transcriptional and functional responses were compared between individuals. Up to 80 or 100-fold variation in estrogen receptor alpha (ERα) and estrogen receptor beta (ERβ) mRNA levels were observed in explants. Responses to vi estrogen also varied among individuals, although estrogen receptor target gene expression (AREG, PGR, and TGFβ2), progesterone receptor protein (PR) expression, proliferation, and irradiation induced apoptotic responses were not significantly correlated with estrogen receptor levels. These results indicated that there are variable responses to estrogen exposure among individuals but that these responses do not appear connected to estrogen receptor expression levels. Our second model, conditionally immortalized primary human mammary epithelial cells (ciHMEC), also demonstrated variable responses in luciferase reporter assays with estrogen and xenoestrogen treatment, though the responses were more consistent than those observed in the human breast explant model. This was likely due to transfection of saturating levels of estrogen receptor. Lastly, we examined estrogen-induced responses in 4 inducible ERα HMEC cell lines. While all 4 lines were able to activate luciferase reporter assays and expressed ERα protein, only 3 out of 4 demonstrated a proliferation response to estrogen. Expression of estrogen receptor target genes (AREG and PGR) however, was not regulated by estrogen treatment. Conditioned growth media assays demonstrated that this proliferative response was not due to secretion of factors into the media but is instead driven by intracellular factors. As others have implicated the pioneer factors FOXA1 and GATA3 in restoring estrogen-induced responses, we examined mRNA expression of these factors in our cells and found no correlation with estrogen-induced proliferation. These results imply that while FOXA1 and GATA3 are not sufficient to induce biological responses to estrogen. Collectively, our work demonstrated individual variation in estrogen receptor expression and estrogen and xenoestrogen-induced responses. Sensitivity to estrogen treatment was not driven by estrogen receptor expression levels. Further, our results suggest intracellular vii factors, such as estrogen receptor coregulators, are important for modulation of estrogen- induced biological responses. viii TABLE OF CONTENTS Page ACKNOWLEDGMENTS ...................................................................................................v ABSTRACT...................................................... ................................................................. vi LIST OF TABLES ............................................................................................................ xii LIST OF FIGURES ......................................................................................................... xiii CHAPTER 1. INTRODUCTION .........................................................................................................1 Estrogen Exposure and Breast Cancer Risk.............................................................1 Familial Breast Cancer Risk ....................................................................................2 Estrogen Sensitivity in Rodents ...............................................................................3 Estrogen Receptors Alpha and Beta ........................................................................5 Estrogen Receptor Signaling....................................................................................7 Pioneer Factors, Coregulators, and Estrogen Receptor Signaling ...........................9 Estrogen Receptor Levels in Normal Breast Epithelium .......................................11 Human Models for Estrogenic Responses in the Normal Breast ...........................12 Hypothesis and Objectives .....................................................................................16 2. INTER-INDIVIDUAL VARIARION IN ESTROGEN-INDUCED RESPONSES IN HUMAN BREAST EXPLANT CULTURES ...................................................................24 Introduction/Rationale ...........................................................................................24 Materials and Methods ...........................................................................................27 Sample Collection ......................................................................................27 Microarray Analysis...................................................................................27 Explant Culture ..........................................................................................28 RT-qPCR....................................................................................................29
Recommended publications
  • Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis.
    [Show full text]
  • TOX2 Is Differentially Expressed in Non-Small Cell Lung Cancer-PDF 092220
    1 Tox2 is differentially expressed in non-small cell lung cancer and associates with patient 2 survival. 3 Shahan Mamoor1 4 [email protected] East Islip, NY USA 5 6 Non-small cell lung cancer (NSCLC) is the leading cause of cancer death in the United States1. 7 We mined published microarray data2,3,4 to identify differentially expressed genes in NSCLC. 8 We found that the gene encoding the thymyocyte selection-associated high mobility box protein 9 family member 2 transcription factor Tox2 was among the genes whose expression was most quantitatively different in tumors from patients with NSCLC as compared to the lung. Tox2 10 expression was significantly decreased in NSCLC tumors as compared to the lung, and lower 11 expression of Tox2 in patient tumors was significantly associated with worse overall survival. Tox2 may be important for initiation or progression of non-small cell lung cancer in humans. 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Keywords: Tox2, NSCLC, non-small cell lung cancer, systems biology of NSCLC, targeted 27 therapeutics in NSCLC. 28 1 OF 16 1 In 2016, lung cancer resulted in the death of 158,000 Americans; 81% of all patients 2 diagnosed with lung cancer will expire within 5 years5. Non-small cell lung cancer (NSCLC) is 3 4 the most common type of lung cancer, diagnosed in 84% of patients with lung cancer, and 76% 5 of all patients with NSCLC will expire within 5 years5. The rational development of targeted 6 therapeutics to treat patients with NSCLC can be supported by an enhanced understanding of 7 8 fundamental transcriptional features of NSCLC tumors.
    [Show full text]
  • TOX As a Potential Target for Immunotherapy in Lymphocytic Malignancies Chaofeng Liang1,2, Shuxin Huang1, Yujie Zhao1, Shaohua Chen1* and Yangqiu Li1*
    Liang et al. Biomarker Research (2021) 9:20 https://doi.org/10.1186/s40364-021-00275-y REVIEW Open Access TOX as a potential target for immunotherapy in lymphocytic malignancies Chaofeng Liang1,2, Shuxin Huang1, Yujie Zhao1, Shaohua Chen1* and Yangqiu Li1* Abstract TOX (thymocyte selection-associated HMG BOX) is a member of a family of transcriptional factors that contain the highly conserved high mobility group box (HMG-box) region. Increasing studies have shown that TOX is involved in maintaining tumors and promoting T cell exhaustion. In this review, we summarized the biological functions of TOX and its contribution as related to lymphocytic malignancies. We also discussed the potential role of TOX as an immune biomarker and target in immunotherapy for hematological malignancies. Keywords: Thymocyte selection-associated HMG BOX, Biological function, T cell exhaustion, Lymphocytic malignancies, Immune biomarker, Immunotherapy Background located on different chromosomes and have different TOX (thymocyte selection-associated HMG BOX), a functions (Fig. 1, Table 1)[16]. transcription factor, belongs to the high mobility group box (HMG-box) superfamily. In 2002, Wilkinson et al. TOX demonstrated for the first time that TOX plays an im- TOX, also known as KIAA0808, is located on q12.1 of portant role in the differentiation of CD4 + CD8+ human chromosome 8 and has one transcript. The double-positive thymocytes by gene microarray technol- length of the TOX mRNA is 4076 bp, and it contains ogy. Numerous studies have shown that TOX plays a nine exons that translate into a protein consisting of 526 vital role in the development and formation of various amino acids.
    [Show full text]
  • Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
    Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A.
    [Show full text]
  • 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.
    [Show full text]
  • Identification of NFIB As Recurrent Translocation Partner Gene of HMGIC in Pleomorphic Adenomas
    Oncogene (1998) 16, 865 ± 872 1998 Stockton Press All rights reserved 0950 ± 9232/98 $12.00 Identi®cation of NFIB as recurrent translocation partner gene of HMGIC in pleomorphic adenomas Jan MW Geurts1, Eric FPM Schoenmakers1, Eva RoÈ ijer2, Anna-Karin AstroÈ m2,GoÈran Stenman2 and Wim JM van de Ven1 1Laboratory for Molecular Oncology, Center for Human Genetics, University of Leuven & Flanders Interuniversity Institute for Biotechnology, B-3000 Leuven, Belgium; 2Laboratory of Cancer Genetics, Department of Pathology, GoÈteborg University, Sahlgrenska University Hospital, S-41345 GoÈteborg, Sweden Approximately 12% of all pleomorphic adenomas of the guished, i.e. tumors with rearrangements of 8q12 or salivary glands are characterized by chromosome 12q13 ± 15. Whereas the t(3;8)(p21;q12) is the most aberrations involving the chromosome segment 12q13 ± frequently observed translocation, many dierent 15. Several chromosomes have been found as transloca- chromosome segments can act as translocation tion partners of chromosome 12, and some of these partners of both 8q12 and 12q13 ± 15 (Sandros et al., recurrently. Recently, the HMGIC gene was identi®ed as 1990; Bullerdiek et al., 1993). The short arm of the target gene aected by the 12q13 ± 15 aberrations. chromosome 9, with breakpoints in the segment Here, we report the identi®cation and characterization of 9p12 ± 24, is the preferential translocation partner of a new translocation partner gene of HMGIC in chromosome 12q13 ± 15 (Stenman et al., 1994). The pleomorphic adenomas. 3'-RACE analysis of a primary reason for the variability of the breakpoints in 9p is adenoma with an apparently normal karyotype revealed likely to be due to the limited resolution of the banding an HMGIC fusion transcript containing ectopic se- pattern in 9p12 ± 24 and 12q13 ± 15, making it almost quences derived from the human NFIB gene, previously impossible to determine the exact locations of the mapped to chromosome band 9p24.1.
    [Show full text]
  • Host-Parasite Interaction of Atlantic Salmon (Salmo Salar) and the Ectoparasite Neoparamoeba Perurans in Amoebic Gill Disease
    ORIGINAL RESEARCH published: 31 May 2021 doi: 10.3389/fimmu.2021.672700 Host-Parasite Interaction of Atlantic salmon (Salmo salar) and the Ectoparasite Neoparamoeba perurans in Amoebic Gill Disease † Natasha A. Botwright 1*, Amin R. Mohamed 1 , Joel Slinger 2, Paula C. Lima 1 and James W. Wynne 3 1 Livestock and Aquaculture, CSIRO Agriculture and Food, St Lucia, QLD, Australia, 2 Livestock and Aquaculture, CSIRO Agriculture and Food, Woorim, QLD, Australia, 3 Livestock and Aquaculture, CSIRO Agriculture and Food, Hobart, TAS, Australia Marine farmed Atlantic salmon (Salmo salar) are susceptible to recurrent amoebic gill disease Edited by: (AGD) caused by the ectoparasite Neoparamoeba perurans over the growout production Samuel A. M. Martin, University of Aberdeen, cycle. The parasite elicits a highly localized response within the gill epithelium resulting in United Kingdom multifocal mucoid patches at the site of parasite attachment. This host-parasite response Reviewed by: drives a complex immune reaction, which remains poorly understood. To generate a model Diego Robledo, for host-parasite interaction during pathogenesis of AGD in Atlantic salmon the local (gill) and University of Edinburgh, United Kingdom systemic transcriptomic response in the host, and the parasite during AGD pathogenesis was Maria K. Dahle, explored. A dual RNA-seq approach together with differential gene expression and system- Norwegian Veterinary Institute (NVI), Norway wide statistical analyses of gene and transcription factor networks was employed. A multi- *Correspondence: tissue transcriptomic data set was generated from the gill (including both lesioned and non- Natasha A. Botwright lesioned tissue), head kidney and spleen tissues naïve and AGD-affected Atlantic salmon [email protected] sourced from an in vivo AGD challenge trial.
    [Show full text]
  • Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes.
    [Show full text]
  • Cutting Edge: Expression of IRF8 in Gastric Epithelial Cells Confers
    Cutting Edge: Expression of IRF8 in Gastric Epithelial Cells Confers Protective Innate Immunity against Helicobacter pylori Infection This information is current as of September 27, 2021. Ming Yan, Hongsheng Wang, Jiafang Sun, Wei Liao, Peng Li, Yin Zhu, Chengfu Xu, Jungsoo Joo, Yan Sun, Sadia Abbasi, Alexander Kovalchuk, Nonghua Lv, Warren J. Leonard and Herbert C. Morse III J Immunol published online 3 February 2016 Downloaded from http://www.jimmunol.org/content/early/2016/02/02/jimmun ol.1500766 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2016/02/02/jimmunol.150076 Material 6.DCSupplemental Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 27, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published February 3, 2016, doi:10.4049/jimmunol.1500766 Th eJournal of Cutting Edge Immunology Cutting Edge: Expression of IRF8 in Gastric Epithelial Cells Confers Protective Innate Immunity against Helicobacter pylori Infection x x Ming Yan,*,1 Hongsheng Wang,†,1 Jiafang Sun,† Wei Liao,‡, Peng Li,‡, { † Yin Zhu, ChengfuXu,*JungsooJoo,*YanSun,*SadiaAbbasi,{ x Alexander Kovalchuk,† Nonghua Lv, Warren J.
    [Show full text]
  • TOX3 Is Expressed in Mammary ER+ Epithelial Cells and Regulates ER
    Seksenyan et al. BMC Cancer (2015) 15:22 DOI 10.1186/s12885-015-1018-2 RESEARCH ARTICLE Open Access TOX3 is expressed in mammary ER+ epithelial cells and regulates ER target genes in luminal breast cancer Akop Seksenyan1, Asha Kadavallore1, Ann E Walts2, Brian de la Torre1, Dror Berel3,4, Samuel P Strom5,6, Parinaz Aliahmad1, Vincent A Funari5 and Jonathan Kaye1,3,7* Abstract Background: A breast cancer susceptibility locus has been mapped to the gene encoding TOX3. Little is known regarding the expression pattern or biological role of TOX3 in breast cancer or in the mammary gland. Here we analyzed TOX3 expression in murine and human mammary glands and in molecular subtypes of breast cancer, and assessed its ability to alter the biology of breast cancer cells. Methods: We used a cell sorting strategy, followed by quantitative real-time PCR, to study TOX3 gene expression in the mouse mammary gland. To study the expression of this nuclear protein in human mammary glands and breast tumors, we generated a rabbit monoclonal antibody specific for human TOX3. In vitro studies were performed on MCF7, BT474 and MDA-MB-231 cell lines to study the effects of TOX3 modulation on gene expression in the context of breast cancer cells. Results: We found TOX3 expression in estrogen receptor-positive mammary epithelial cells, including progenitor cells. A subset of breast tumors also highly expresses TOX3, with poor outcome associated with high expression of TOX3 in luminal B breast cancers. We also demonstrate the ability of TOX3 to alter gene expression in MCF7 luminal breast cancer cells, including cancer relevant genes TFF1 and CXCR4.
    [Show full text]
  • 1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
    xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A
    [Show full text]
  • The Staurotypus Turtles and Aves Share the Same Origin of Sex Chromosomes but Evolved Different Types of Heterogametic Sex Determination
    The Staurotypus Turtles and Aves Share the Same Origin of Sex Chromosomes but Evolved Different Types of Heterogametic Sex Determination Taiki Kawagoshi1, Yoshinobu Uno1, Chizuko Nishida2, Yoichi Matsuda1,3* 1 Laboratory of Animal Genetics, Department of Applied Molecular Biosciences, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan, 2 Department of Natural History Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan, 3 Avian Bioscience Research Center, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan Abstract Reptiles have a wide diversity of sex-determining mechanisms and types of sex chromosomes. Turtles exhibit temperature- dependent sex determination and genotypic sex determination, with male heterogametic (XX/XY) and female heterogametic (ZZ/ZW) sex chromosomes. Identification of sex chromosomes in many turtle species and their comparative genomic analysis are of great significance to understand the evolutionary processes of sex determination and sex chromosome differentiation in Testudines. The Mexican giant musk turtle (Staurotypus triporcatus, Kinosternidae, Testudines) and the giant musk turtle (Staurotypus salvinii) have heteromorphic XY sex chromosomes with a low degree of morphological differentiation; however, their origin and linkage group are still unknown. Cross-species chromosome painting with chromosome-specific DNA from Chinese soft-shelled turtle (Pelodiscus sinensis) revealed that the X and Y chromosomes of S. triporcatus have homology with P. sinensis chromosome 6, which corresponds to the chicken Z chromosome. We cloned cDNA fragments of S. triporcatus homologs of 16 chicken Z-linked genes and mapped them to S. triporcatus and S. salvinii chromosomes using fluorescence in situ hybridization. Sixteen genes were localized to the X and Y long arms in the same order in both species.
    [Show full text]