Regulation of Clustered Gene Expression by Cofactor of BRCA1 (COBRA1) in Breast Cancer Cells
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Novel Candidate Key Drivers in the Integrative Network of Genes, Micrornas, Methylations, and Copy Number Variations in Squamous Cell Lung Carcinoma
Hindawi Publishing Corporation BioMed Research International Volume 2015, Article ID 358125, 11 pages http://dx.doi.org/10.1155/2015/358125 Research Article Novel Candidate Key Drivers in the Integrative Network of Genes, MicroRNAs, Methylations, and Copy Number Variations in Squamous Cell Lung Carcinoma Tao Huang,1,2 Jing Yang,2 and Yu-dong Cai1 1 CollegeofLifeScience,ShanghaiUniversity,Shanghai200444,China 2Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Shanghai Jiao Tong University School of Medicine, Shanghai 200031, China Correspondence should be addressed to Tao Huang; [email protected] and Yu-dong Cai; cai [email protected] Received 17 September 2014; Revised 6 January 2015; Accepted 22 January 2015 Academic Editor: Aparup Das Copyright © 2015 Tao Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The mechanisms of lung cancer are highly complex. Not only mRNA gene expression but also microRNAs, DNA methylation, and copy number variation (CNV) play roles in tumorigenesis. It is difficult to incorporate so much information into a single model that can comprehensively reflect all these lung cancer mechanisms. In this study, we analyzed the 129 TCGA (The Cancer Genome Atlas) squamous cell lung carcinoma samples with gene expression, microRNA expression, DNA methylation, and CNV data. First, we used variance inflation factor (VIF) regression to build the whole genome integrative network. Then, we isolated the lung cancer subnetwork by identifying the known lung cancer genes and their direct regulators. -
Manual: Pathdetect Reporter Cell Lines
PathDetect Reporter Cell Lines INSTRUCTION MANUAL Catalog #800050 (PathDetect HLR Cell Line) #800055 (HLR-Elk1 Cell Line) #800060 (HLR-CHOP Cell Line) #800065 (HLR-CREB Cell Line) Revision A BN #800050-12 For In Vitro Use Only 800050-12 LIMITED PRODUCT WARRANTY This warranty limits our liability to replacement of this product. No other warranties of any kind, express or implied, including without limitation, implied warranties of merchantability or fitness for a particular purpose, are provided by Agilent. Agilent shall have no liability for any direct, indirect, consequential, or incidental damages arising out of the use, the results of use, or the inability to use this product. ORDERING INFORMATION AND TECHNICAL SERVICES United States and Canada Agilent Technologies Stratagene Products Division 11011 North Torrey Pines Road La Jolla, CA 92037 Telephone (858) 373-6300 Order Toll Free (800) 424-5444 Technical Services (800) 894-1304 Internet [email protected] World Wide Web www.stratagene.com Europe Location Telephone Fax Technical Services Austria 0800 292 499 0800 292 496 0800 292 498 Belgium 00800 7000 7000 00800 7001 7001 00800 7400 7400 0800 15775 0800 15740 0800 15720 France 00800 7000 7000 00800 7001 7001 00800 7400 7400 0800 919 288 0800 919 287 0800 919 289 Germany 00800 7000 7000 00800 7001 7001 00800 7400 7400 0800 182 8232 0800 182 8231 0800 182 8234 Netherlands 00800 7000 7000 00800 7001 7001 00800 7400 7400 0800 023 0446 +31 (0)20 312 5700 0800 023 0448 Switzerland 00800 7000 7000 00800 7001 7001 00800 7400 7400 0800 563 080 0800 563 082 0800 563 081 United Kingdom 00800 7000 7000 00800 7001 7001 00800 7400 7400 0800 917 3282 0800 917 3283 0800 917 3281 All Other Countries Please contact your local distributor. -
BRCA1-Dependent Transcriptional Regulation: Implication in Tissue-Specific Tumor Suppression
cancers Review BRCA1-Dependent Transcriptional Regulation: Implication in Tissue-Specific Tumor Suppression Xiaowen Zhang * and Rong Li * Department of Biochemistry & Molecular Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, DC 20037, USA * Correspondence: [email protected] (X.Z.); [email protected] (R.L.) Received: 14 October 2018; Accepted: 11 December 2018; Published: 14 December 2018 Abstract: Germ-line mutations in breast cancer susceptibility gene 1 (BRCA1) predominantly predispose women to breast and ovarian cancers. BRCA1 is best known for its functions in maintenance of genomic integrity including repairing DNA double-strand breaks through homologous recombination and suppressing DNA replication stress. However, whether these universally important BRCA1 functions in maintenance of genomic stability are sufficient to account for its tissue-specific tumor-suppressing function remains unclear. Accumulating evidence indicates that there are previously underappreciated roles of BRCA1 in transcriptional regulation and chromatin remodeling. In this review, we discuss the functional significance of interactions between BRCA1 and various transcription factors, its role in epigenetic regulation and chromatin dynamics, and BRCA1-dependent crosstalk between the machineries of transcription and genome integrity. Furthermore, we propose a model of how transcriptional regulation could contribute to tissue-dependent tumor-suppressing function of BRCA1. Keywords: BRCA1; transcriptional regulation; epigenetic regulation; chromatin organization 1. Introduction Approximately 0.2% to 0.3% of the general population in the United States carries germ-line mutations in the tumor suppressor gene BRCA1 (BRCA1mut/+)[1,2]. Unlike tumor suppressors such as p53 that are implicated in a broad spectrum of cancers, BRCA1 functions in a gender- and tissue-specific manner. -
Anti-Ps2 / Trefoil Factor 1 Antibody (ARG41084)
Product datasheet [email protected] ARG41084 Package: 100 μl anti-pS2 / Trefoil factor 1 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes pS2 / Trefoil factor 1 Tested Reactivity Hu Tested Application FACS, ICC/IF, IHC-P, IP, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name pS2 / Trefoil factor 1 Antigen Species Human Immunogen Synthetic peptide derived from Human pS2 / Trefoil factor 1. Conjugation Un-conjugated Alternate Names D21S21; pNR-2; Trefoil factor 1; PNR-2; BCEI; hP1.A; HPS2; pS2; Polypeptide P1.A; HP1.A; Protein pS2; Breast cancer estrogen-inducible protein Application Instructions Application table Application Dilution FACS 1:50 ICC/IF 1:50 - 1:200 IHC-P 1:50 - 1:200 IP 1:50 WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 9 kDa Observed Size 11 kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.4), 150 mM NaCl, 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol www.arigobio.com 1/2 Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol TFF1 Gene Full Name trefoil factor 1 Background Members of the trefoil family are characterized by having at least one copy of the trefoil motif, a 40-amino acid domain that contains three conserved disulfides. -
Expression of Oncogenes ELK1 and ELK3 in Cancer
Review Article Annals of Colorectal Cancer Research Published: 11 Nov, 2019 Expression of Oncogenes ELK1 and ELK3 in Cancer Akhlaq Ahmad and Asif Hayat* College of Chemistry, Fuzhou University, China Abstract Cancer is the uncontrolled growth of abnormal cells anywhere in a body, ELK1 and ELK3 is a member of the Ets-domain transcription factor family and the TCF (Ternary Complex Factor) subfamily. Proteins in this subfamily regulate transcription when recruited by SRF (Serum Response Factor) to bind to serum response elements. ELK1 and ELK3 transcription factors are known as oncogenes. Both transcription factors are proliferated in a different of type of cancer. Herein, we summarized the expression of transcription factor ELK1 and ELK3 in cancer cells. Keywords: ETS; ELK1; ELK3; Transcription factor; Cancer Introduction The ETS, a transcription factor of E twenty-six family based on a dominant ETS amino acids that integrated with a ~10-basepair element arrange in highly mid core sequence 5′-GGA(A/T)-3′ [1-2]. The secular family alter enormous 28/29 members which has been assigned in human and mouse and similarly the family description are further sub-divided into nine sub-families according to their homology and domain factor [3]. More importantly, one of the subfamily members such as ELK (ETS-like) adequate an N-terminal ETS DNA-binding domain along with a B-box domain that transmit the response of serum factor upon the formation of ternary complex and therefore manifested as ternary complex factors [4]. Further the ELK sub-divided into Elk1, Elk3 (Net, Erp or Sap2) and Elk4 (Sap1) proteins [3,4], which simulated varied proportional of potential protein- protein interactions [4,5]. -
Autophagy Modulation in Bladder Cancer Development and Treatment (Review)
ONCOLOGY REPORTS 42: 1647-1655, 2019 Autophagy modulation in bladder cancer development and treatment (Review) FAPING LI, HUI GUO, YUXUAN YANG, MINGLIANG FENG, BIN LIU, XIANG REN and HONGLAN ZHOU Department of Urology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China Received April 24, 2019; Accepted August 1, 2019 DOI: 10.3892/or.2019.7286 Abstract. Bladder cancer (BC) is a potentially life-threatening 1. Introduction malignancy. Due to a high recurrence rate, frequent surveil- lance strategies and intravesical drug therapies, BC is Bladder cancer (BC) is a potentially life-threatening malig- considered one of the most expensive tumors to treat. As a nancy that is considered one of the most expensive tumors fundamental evolutionary catabolic process, autophagy plays in terms of treatment and medical care (1-3). After prostate an important role in the maintenance of cellular environ- cancer, it is the second most common type of urological cancer mental homeostasis by degrading and recycling damaged and ranks 10th among the most common types of cancer cytoplasmic components, including macromolecules and around the globe (4). It has been estimated that there were organelles. Scientific studies in the last two decades have 549,393 new cases of BC and 199,922 deaths resulting from shown that autophagy acts as a double‑edged sword with this disease worldwide in 2018, according to a report from regard to the treatment of cancer. On one hand, autophagy the International Agency for Research on Cancer (4). The inhibition is able to increase the sensitivity of cancer cells to primary histological subtype of human BC is transitional cell treatment, a process known as protective autophagy. -
New Mechanism Based Approaches for Treating Prostate Cancer Rayna Rosati Wayne State University
Wayne State University Wayne State University Dissertations 1-1-2017 New Mechanism Based Approaches For Treating Prostate Cancer Rayna Rosati Wayne State University, Follow this and additional works at: https://digitalcommons.wayne.edu/oa_dissertations Part of the Oncology Commons Recommended Citation Rosati, Rayna, "New Mechanism Based Approaches For Treating Prostate Cancer" (2017). Wayne State University Dissertations. 1865. https://digitalcommons.wayne.edu/oa_dissertations/1865 This Open Access Dissertation is brought to you for free and open access by DigitalCommons@WayneState. It has been accepted for inclusion in Wayne State University Dissertations by an authorized administrator of DigitalCommons@WayneState. NEW MECHANISM BASED APPROACHES FOR TREATING PROSTATE CANCER by RAYNA C. ROSATI DISSERTATION Submitted to the Graduate School of Wayne State University, Detroit, Michigan in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY 2017 MAJOR: CANCER BIOLOGY Approved By: Advisor Date DEDICATION This dissertation is dedicated to my family, who made me who I am today with all of their love and support. To my grandmother, Lucy, who just recently lost her battle with lung cancer and who would send me newspaper clippings in the mail about new topics of prostate cancer research. To my siblings, who have always been my best friends. To my father, Daniel, who has been my greatest mentor in life. To my mother, Nanci, who has been there for me through everything and who gave me my creative bone. ii ACKNOWLEDGEMENTS First off, I would like to thank my mentor, Dr. Manohar Ratnam, whose enthusiasm for science is undeniable. Thank you for always being so optimistic and believing I could accomplish this very challenging project. -
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. -
Location Analysis of Estrogen Receptor Target Promoters Reveals That
Location analysis of estrogen receptor ␣ target promoters reveals that FOXA1 defines a domain of the estrogen response Jose´ e Laganie` re*†, Genevie` ve Deblois*, Ce´ line Lefebvre*, Alain R. Bataille‡, Franc¸ois Robert‡, and Vincent Gigue` re*†§ *Molecular Oncology Group, Departments of Medicine and Oncology, McGill University Health Centre, Montreal, QC, Canada H3A 1A1; †Department of Biochemistry, McGill University, Montreal, QC, Canada H3G 1Y6; and ‡Laboratory of Chromatin and Genomic Expression, Institut de Recherches Cliniques de Montre´al, Montreal, QC, Canada H2W 1R7 Communicated by Ronald M. Evans, The Salk Institute for Biological Studies, La Jolla, CA, July 1, 2005 (received for review June 3, 2005) Nuclear receptors can activate diverse biological pathways within general absence of large scale functional data linking these putative a target cell in response to their cognate ligands, but how this binding sites with gene expression in specific cell types. compartmentalization is achieved at the level of gene regulation is Recently, chromatin immunoprecipitation (ChIP) has been used poorly understood. We used a genome-wide analysis of promoter in combination with promoter or genomic DNA microarrays to occupancy by the estrogen receptor ␣ (ER␣) in MCF-7 cells to identify loci recognized by transcription factors in a genome-wide investigate the molecular mechanisms underlying the action of manner in mammalian cells (20–24). This technology, termed 17-estradiol (E2) in controlling the growth of breast cancer cells. ChIP-on-chip or location analysis, can therefore be used to deter- We identified 153 promoters bound by ER␣ in the presence of E2. mine the global gene expression program that characterize the Motif-finding algorithms demonstrated that the estrogen re- action of a nuclear receptor in response to its natural ligand. -
Identification of C3 As a Therapeutic Target for Diabetic Nephropathy By
www.nature.com/scientificreports OPEN Identifcation of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis ShuMei Tang, XiuFen Wang, TianCi Deng, HuiPeng Ge & XiangCheng Xiao* The pathogenesis of diabetic nephropathy is not completely understood, and the efects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identifed 345 genes through diferential expression analysis and weighted gene coexpression correlation network analysis. GO annotations mainly included neutrophil activation, regulation of immune efector process, positive regulation of cytokine production and neutrophil-mediated immunity. KEGG pathways mostly included phagosome, complement and coagulation cascades, cell adhesion molecules and the AGE-RAGE signalling pathway in diabetic complications. Additional datasets were analysed to understand the mechanisms of diferential gene expression from an epigenetic perspective. Diferentially expressed miRNAs were obtained to construct a miRNA-mRNA network from the miRNA profles in the GSE57674 dataset. The miR-1237-3p/SH2B3, miR-1238-5p/ ZNF652 and miR-766-3p/TGFBI axes may be involved in diabetic nephropathy. The methylation levels of the 345 genes were also tested based on the gene methylation profles of the GSE121820 dataset. The top 20 hub genes in the PPI network were discerned using the CytoHubba tool. Correlation analysis with GFR showed that SYK, CXCL1, LYN, VWF, ANXA1, C3, HLA-E, RHOA, SERPING1, EGF and KNG1 may be involved in diabetic nephropathy. Eight small molecule compounds were identifed as potential therapeutic drugs using Connectivity Map. It is estimated that a total of 451 million people sufered from diabetes by 2017, and the number is speculated to be 693 million by 2045 1. -
Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes
[CANCER RESEARCH 64, 6453–6460, September 15, 2004] Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes Be´atrice Orsetti,1 Me´lanie Nugoli,1 Nathalie Cervera,1 Laurence Lasorsa,1 Paul Chuchana,1 Lisa Ursule,1 Catherine Nguyen,2 Richard Redon,3 Stanislas du Manoir,3 Carmen Rodriguez,1 and Charles Theillet1 1Ge´notypes et Phe´notypes Tumoraux, EMI229 INSERM/Universite´ Montpellier I, Montpellier, France; 2ERM 206 INSERM/Universite´ Aix-Marseille 2, Parc Scientifique de Luminy, Marseille cedex, France; and 3IGBMC, U596 INSERM/Universite´Louis Pasteur, Parc d’Innovation, Illkirch cedex, France ABSTRACT 17q12-q21 corresponding to the amplification of ERBB2 and collinear genes, and a large region at 17q23 (5, 6). A number of new candidate Chromosome 17 is severely rearranged in breast cancer. Whereas the oncogenes have been identified, among which GRB7 and TOP2A at short arm undergoes frequent losses, the long arm harbors complex 17q21 or RP6SKB1, TBX2, PPM1D, and MUL at 17q23 have drawn combinations of gains and losses. In this work we present a comprehensive study of quantitative anomalies at chromosome 17 by genomic array- most attention (6–10). Furthermore, DNA microarray studies have comparative genomic hybridization and of associated RNA expression revealed additional candidates, with some located outside current changes by cDNA arrays. We built a genomic array covering the entire regions of gains, thus suggesting the existence of additional amplicons chromosome at an average density of 1 clone per 0.5 Mb, and patterns of on 17q (8, 9). gains and losses were characterized in 30 breast cancer cell lines and 22 Our previous loss of heterozygosity mapping data pointed to the primary tumors. -
Molecular Alterations in the Stomach of Tffl-Deficient Mice
International Journal of Molecular Sciences Article Molecular Alterations in the Stomach of Tff1-Deficient Mice: Early Steps in Antral Carcinogenesis Eva B. Znalesniak, Franz Salm and Werner Hoffmann * Institute of Molecular Biology and Medicinal Chemistry, Otto-von-Guericke University Magdeburg, Leipziger Str. 44, 39120 Magdeburg, Germany; [email protected] (E.B.Z.) * Correspondence: werner.hoff[email protected] Received: 2 December 2019; Accepted: 14 January 2020; Published: 18 January 2020 Abstract: TFF1 is a peptide of the gastric mucosa co-secreted with the mucin MUC5AC. It plays a key role in gastric mucosal protection and repair. Tff1-deficient (Tff1KO) mice obligatorily develop antropyloric adenoma and about 30% progress to carcinomas. Thus, these mice represent a model for gastric tumorigenesis. Here, we compared the expression of selected genes in Tff1KO mice and the corresponding wild-type animals (RT-PCR analyses). Furthermore, we systematically investigated the different molecular forms of Tff1 and its heterodimer partner gastrokine-2 (Gkn2) in the stomach (Western blot analyses). As a hallmark, a large portion of murine Tff1 occurs in a monomeric form. This is unexpected because of its odd number of seven cysteine residues. Probably the three conserved acid amino acid residues (EEE) flanking the 7th cysteine residue allow monomeric secretion. As a consequence, the free thiol of monomeric Tff1 could have a protective scavenger function, e.g., for reactive oxygen/nitrogen species. Furthermore, a minor subset of Tff1 forms a disulfide-linked heterodimer with IgG Fc binding protein (Fcgbp). Of special note, in Tff1KO animals a homodimeric form of Gkn2 was observed. In addition, Tff1KO animals showed strongly reduced Tff2 transcript and protein levels, which might explain their increased sensitivity to Helicobacter pylori infection.