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Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
An Animal Model with a Cardiomyocyte-Specific Deletion of Estrogen Receptor Alpha: Functional, Metabolic, and Differential Netwo
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2014 An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: Functional, metabolic, and differential network analysis Sriram Devanathan Washington University School of Medicine in St. Louis Timothy Whitehead Washington University School of Medicine in St. Louis George G. Schweitzer Washington University School of Medicine in St. Louis Nicole Fettig Washington University School of Medicine in St. Louis Attila Kovacs Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Devanathan, Sriram; Whitehead, Timothy; Schweitzer, George G.; Fettig, Nicole; Kovacs, Attila; Korach, Kenneth S.; Finck, Brian N.; and Shoghi, Kooresh I., ,"An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: Functional, metabolic, and differential network analysis." PLoS One.9,7. e101900. (2014). https://digitalcommons.wustl.edu/open_access_pubs/3326 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Sriram Devanathan, Timothy Whitehead, George G. Schweitzer, Nicole Fettig, Attila Kovacs, Kenneth S. Korach, Brian N. Finck, and Kooresh I. Shoghi This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/3326 An Animal Model with a Cardiomyocyte-Specific Deletion of Estrogen Receptor Alpha: Functional, Metabolic, and Differential Network Analysis Sriram Devanathan1, Timothy Whitehead1, George G. Schweitzer2, Nicole Fettig1, Attila Kovacs3, Kenneth S. -
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. -
Paracrine Activation of WNT/Β-Catenin Pathway in Uterine Leiomyoma Stem Cells Promotes Tumor Growth
Paracrine activation of WNT/β-catenin pathway in uterine leiomyoma stem cells promotes tumor growth Masanori Onoa,b, Ping Yina, Antonia Navarroa, Molly B. Moraveka, John S. Coon Va, Stacy A. Druschitza, Vanida Ann Sernaa, Wenan Qianga, David C. Brooksa, Saurabh S. Malpania, Jiajia Maa, Cihangir Mutlu Ercana, Navdha Mittala, Diana Monsivaisa, Matthew T. Dysona, Alex Yemelyanovc, Tetsuo Maruyamab, Debabrata Chakravartia, J. Julie Kima, Takeshi Kuritaa, Cara J. Gottardic, and Serdar E. Buluna,1 Departments of aObstetrics and Gynecology and cMedicine, Feinberg School of Medicine at Northwestern University, Chicago, IL 60611; and bDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan Edited by Jan-Åke Gustafsson, University of Houston, Houston, Texas, and approved September 5, 2013 (received for review July 18, 2013) Uterine leiomyomas are extremely common estrogen and proges- somatic stem cells and has been used to isolate them from many terone-dependent tumors of the myometrium and cause irregular adult tissues, such as the myometrium, endometrium, and mam- – uterine bleeding, severe anemia, and recurrent pregnancy loss in mary gland (9 12). We and another group have reported that SP 15–30% of reproductive-age women. Each leiomyoma is thought cells from human LM exhibit key features of the tumor-initiating to arise from a single mutated myometrial smooth muscle stem cells (13, 14). It has been proposed that each LM originates from a single cell. Leiomyoma side-population (LMSP) cells comprising 1% of all transformed somatic stem cell of the myometrium in an ovarian tumor cells and displaying tumor-initiating stem cell characteristics steroid-dependent manner (15); however, this suggestion has not are essential for estrogen- and progesterone-dependent in vivo been proven definitively. -
Toward Conventional Dendritic Cells Progenitors and Directs Subset
The Journal of Immunology TGF-b1 Accelerates Dendritic Cell Differentiation from Common Dendritic Cell Progenitors and Directs Subset Specification toward Conventional Dendritic Cells Piritta Felker,*,† Kristin Sere´,*,† Qiong Lin,*,† Christiane Becker,*,† Mihail Hristov,‡ Thomas Hieronymus,*,† and Martin Zenke*,† Dendritic cells (DCs) in lymphoid tissue comprise conventional DCs (cDCs) and plasmacytoid DCs (pDCs) that develop from com- mon DC progenitors (CDPs). CDPs are Flt3+c-kitintM-CSFR+ and reside in bone marrow. In this study, we describe a two-step culture system that recapitulates DC development from c-kithiFlt32/lo multipotent progenitors (MPPs) into CDPs and further into cDC and pDC subsets. MPPs and CDPs are amplified in vitro with Flt3 ligand, stem cell factor, hyper–IL-6, and insulin-like growth factor-1. The four-factor mixture readily induces self-renewal of MPPs and their progression into CDPs and has no self- renewal activity on CDPs. The amplified CDPs respond to all known DC poietins and generate all lymphoid tissue DCs in vivo and in vitro. Additionally, in vitro CDPs recapitulate the cell surface marker and gene expression profile of in vivo CDPs and possess a DC-primed transcription profile. TGF-b1 impacts on CDPs and directs their differentiation toward cDCs. Genome-wide gene expression profiling of TGF-b1–induced genes identified instructive transcription factors for cDC subset specification, such as IFN regulatory factor-4 and RelB. TGF-b1 also induced the transcription factor inhibitor of differentiation/DNA binding 2 that suppresses pDC development. Thus, TGF-b1 directs CDP differentiation into cDCs by inducing both cDC instructive factors and pDC inhibitory factors. -
E Proteins and ID Proteins: Helix-Loop-Helix Partners in Development and Disease
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Developmental Cell Review E Proteins and ID Proteins: Helix-Loop-Helix Partners in Development and Disease Lan-Hsin Wang1 and Nicholas E. Baker1,2,3,* 1Department of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA 2Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA 3Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA *Correspondence: [email protected] http://dx.doi.org/10.1016/j.devcel.2015.10.019 The basic Helix-Loop-Helix (bHLH) proteins represent a well-known class of transcriptional regulators. Many bHLH proteins act as heterodimers with members of a class of ubiquitous partners, the E proteins. A widely expressed class of inhibitory heterodimer partners—the Inhibitor of DNA-binding (ID) proteins—also exists. Genetic and molecular analyses in humans and in knockout mice implicate E proteins and ID proteins in a wide variety of diseases, belying the notion that they are non-specific partner proteins. Here, we explore relationships of E proteins and ID proteins to a variety of disease processes and highlight gaps in knowledge of disease mechanisms. E proteins and Inhibitor of DNA-binding (ID) proteins are widely conferring DNA-binding specificity and transcriptional activation expressed transcriptional regulators with very general functions. on heterodimers with the ubiquitous E proteins (Figure 1). They are implicated in diseases by evidence ranging from Another class of pervasive HLH proteins acts in opposition to confirmed Mendelian inheritance, association studies, and E proteins. -
Xenobiotic-Sensing Nuclear Receptors Involved in Drug Metabolism: a Structural Perspective
HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Drug Metab Manuscript Author Rev. Author Manuscript Author manuscript; available in PMC 2016 May 24. Published in final edited form as: Drug Metab Rev. 2013 February ; 45(1): 79–100. doi:10.3109/03602532.2012.740049. Xenobiotic-sensing nuclear receptors involved in drug metabolism: a structural perspective Bret D. Wallace and Matthew R. Redinbo Departments of Chemistry, Biochemistry, and Microbiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA Abstract Xenobiotic compounds undergo a critical range of biotransformations performed by the phase I, II, and III drug-metabolizing enzymes. The oxidation, conjugation, and transportation of potentially harmful xenobiotic and endobiotic compounds achieved by these catalytic systems are significantly regulated, at the gene expression level, by members of the nuclear receptor (NR) family of ligand-modulated transcription factors. Activation of NRs by a variety of endo- and exogenous chemicals are elemental to induction and repression of drug-metabolism pathways. The master xenobiotic sensing NRs, the promiscuous pregnane X receptor and less-promiscuous constitutive androstane receptor are crucial to initial ligand recognition, jump-starting the metabolic process. Other receptors, including farnesoid X receptor, vitamin D receptor, hepatocyte nuclear factor 4 alpha, peroxisome proliferator activated receptor, glucocorticoid receptor, liver X receptor, and RAR-related orphan receptor, are not directly linked to promiscuous xenobiotic binding, but clearly play important roles in the modulation of metabolic gene expression. Crystallographic studies of the ligand-binding domains of nine NRs involved in drug metabolism provide key insights into ligand-based and constitutive activity, coregulator recruitment, and gene regulation. -
Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits
INVESTIGATION Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits Maren E. Cannon,*,1 Kevin W. Currin,*,1 Kristin L. Young,† Hannah J. Perrin,* Swarooparani Vadlamudi,* Alexias Safi,‡ Lingyun Song,‡ Ying Wu,* Martin Wabitsch,§ Markku Laakso,** Gregory E. Crawford,‡ and Karen L. Mohlke*,2 *Department of Genetics, †Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, ‡Department of Pediatrics, Division of Medical Genetics and Center for Genomic and Computational Biology, § Duke University, NC 27710, Department of Pediatrics and Adolescents Medicine, Division of Pediatric Endocrinology and Diabetes, University of Ulm, Germany 89081, and **Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland 70210 ORCID ID: 0000-0001-6721-153X (K.L.M.) ABSTRACT Identifying the regulatory mechanisms of genome-wide association study (GWAS) loci KEYWORDS affecting adipose tissue has been restricted due to limited characterization of adipose transcriptional chromatin regulatory elements. We profiled chromatin accessibility in three frozen human subcutaneous adipose accessibility tissue needle biopsies and preadipocytes and adipocytes from the Simpson Golabi-Behmel Syndrome adipose tissue (SGBS) cell strain using an assay for transposase-accessible chromatin (ATAC-seq). We identified preadipocytes 68,571 representative accessible chromatin regions (peaks) across adipose tissue samples (FDR , 5%). GWAS GWAS loci for eight cardiometabolic traits were enriched in these peaks (P , 0.005), with the strongest cardiometabolic enrichment for waist-hip ratio. Of 110 recently described cardiometabolic GWAS loci colocalized with trait adiposetissueeQTLs,59locihadoneormorevariantsoverlappinganadiposetissuepeak.Annotated variants at the SNX10 waist-hip ratio locus and the ATP2A1-SH2B1 body mass index locus showed allelic differences in regulatory assays. -
Lineage Transcription Factors Co-Regulate Subtype-Specific Genes Providing a Roadmap For
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.13.249029; this version posted August 14, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Lineage transcription factors co-regulate subtype-specific genes providing a roadmap for systematic identification of small cell lung cancer vulnerabilities Karine Pozo1,2, Rahul K. Kollipara3, Demetra P. Kelenis1, Kathia E. Rodarte1, Xiaoyang Zhang4, John D. Minna5,6,7,8 and Jane E. Johnson1,6,8 1Department of Neuroscience, 2Department of Surgery, 3McDermott Center for Human Growth and Development, UT Southwestern Medical Center, Dallas, TX 75390, USA 4Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 5Hamon Center for Therapeutic Oncology Research, 6Simmons Comprehensive Cancer Center, 7Department of Internal Medicine, 8Department of Pharmacology, UT Southwestern Medical Center, Dallas, TX 75390, USA JDM receives licensing fees for lung cancer lines from the NIH and UT Southwestern. 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.13.249029; this version posted August 14, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. ABSTRACT Lineage-defining transcription factors (LTFs) play key roles in tumor cell growth, making them highly attractive, but currently “undruggable”, small cell lung cancer (SCLC) vulnerabilities. -
Clinical Utility Gene Card For: Sitosterolaemia
European Journal of Human Genetics (2017) 25, doi:10.1038/ejhg.2016.187 & 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 1018-4813/17 www.nature.com/ejhg CLINICAL UTILITY GENE CARD Clinical utility gene card for: Sitosterolaemia Amanda J Hooper1,2,3, Damon A Bell1,2, Robert A Hegele4 and John R Burnett*,1,2 European Journal of Human Genetics (2017) 25, doi:10.1038/ejhg.2016.187; published online 28 December 2016 1. DISEASE CHARACTERISTICS Japanese and Indian patients with sitosterolaemia (20% of known cases), 1.1 Name of the disease (synonyms) it is mainly owing to ABCG5 mutations.4 On the basis of allele Sitosterolaemia (phytosterolaemia; Mediterranean stomatocytosis/ frequencies of loss-of-function variants (frameshift, nonsense and macrothrombocytopenia). splicing only; not missense) in the ExAC database, sitosterolaemia has a global prevalence of at least 1 in 2.6 million for ABCG5 and 1 in 1.2 OMIM# of the disease 360 000 for ABCG8; the most common loss-of-function variant 210250. appears to be ABCG8 c.1083G4A (p.(Trp361Ter)) (Exome Aggrega- tion Consortium; http://exac.broadinstitute.org/) 1.3 Name of the analysed genes or DNA/chromosome segments ABCG5 ABCG8 , . 1.9 Diagnostic setting 1.4 OMIM# of the gene(s) 605459, 605460. Yes No. A. (Differential) diagnostics ⊠ □ 1.5 Mutational spectrum B. Predictive testing □ ⊠ □ ⊠ The sitosterolaemia genes ABCG5 (NM_022436.2) and ABCG8 C. Risk assessment in relatives □ ⊠ (NM_022437.2) lie ‘head to head’ on chromosome 2.1–3 They each D. Prenatal contain 13 exons and encode a half-transporter (sterolin-1 and sterolin-2, respectively), with the C-terminus only containing 6 of Comment: Use of genetic testing is essentially limited to confirmatory 3 the usual 12 transmembrane domains of the other ABC transporters. -
The Rat STSL Locus: Characterization, Chromosomal Assignment, And
BMC Cardiovascular Disorders BioMed Central Research article Open Access The rat STSL locus: characterization, chromosomal assignment, and genetic variations in sitosterolemic hypertensive rats Hongwei Yu1, Bhaswati Pandit1, Eric Klett1, Mi-Hye Lee1, Kangmo Lu1, Khalil Helou2,3, Ikuo Ikeda4, Nami Egashira4, Masao Sato4, Richard Klein1, Ashok Batta5, Gerald Salen5 and Shailendra B Patel*1 Address: 1Division of Endocrinology, Diabetes and Medical Genetics, Medical University of South Carolina, STR 541, 114 Doughty Street, Charleston, SC 29403, USA, 2Genetics Branch, Center for Cancer Research, National Cancer, Institute/NIH, Bethesda, Maryland 20892, USA, 3Department of Oncology, Institute of Selected Clinical Sciences, Goteborg University, SE 413 45, Gothenburg, Sweden, 4Laboratory of Nutrition Chemistry, Department of Bioscience and Biotechnology, Faculty of Agriculture, Graduate School Kyushu University, Fukuoka, 812-8581, Japan and 5Research Service and Medical Service, Department of Veterans Affairs Medical Center, East Orange, NJ, USA Email: Hongwei Yu - [email protected]; Bhaswati Pandit - [email protected]; Eric Klett - [email protected]; Mi-Hye Lee - [email protected]; Kangmo Lu - [email protected]; Khalil Helou - [email protected]; Ikuo Ikeda - [email protected]; Nami Egashira - [email protected]; Masao Sato - [email protected]; Richard Klein - [email protected]; Ashok Batta - [email protected]; Gerald Salen - [email protected]; Shailendra B Patel* - [email protected] * Corresponding author Published: 3 June 2003 Received: 24 January 2003 Accepted: 3 June 2003 BMC Cardiovascular Disorders 2003, 3:4 This article is available from: http://www.biomedcentral.com/1471-2261/3/4 © 2003 Yu et al; licensee BioMed Central Ltd. -
SUMO and Transcriptional Regulation: the Lessons of Large-Scale Proteomic, Modifomic and Genomic Studies
molecules Review SUMO and Transcriptional Regulation: The Lessons of Large-Scale Proteomic, Modifomic and Genomic Studies Mathias Boulanger 1,2 , Mehuli Chakraborty 1,2, Denis Tempé 1,2, Marc Piechaczyk 1,2,* and Guillaume Bossis 1,2,* 1 Institut de Génétique Moléculaire de Montpellier (IGMM), University of Montpellier, CNRS, Montpellier, France; [email protected] (M.B.); [email protected] (M.C.); [email protected] (D.T.) 2 Equipe Labellisée Ligue Contre le Cancer, Paris, France * Correspondence: [email protected] (M.P.); [email protected] (G.B.) Abstract: One major role of the eukaryotic peptidic post-translational modifier SUMO in the cell is transcriptional control. This occurs via modification of virtually all classes of transcriptional actors, which include transcription factors, transcriptional coregulators, diverse chromatin components, as well as Pol I-, Pol II- and Pol III transcriptional machineries and their regulators. For many years, the role of SUMOylation has essentially been studied on individual proteins, or small groups of proteins, principally dealing with Pol II-mediated transcription. This provided only a fragmentary view of how SUMOylation controls transcription. The recent advent of large-scale proteomic, modifomic and genomic studies has however considerably refined our perception of the part played by SUMO in gene expression control. We review here these developments and the new concepts they are at the origin of, together with the limitations of our knowledge. How they illuminate the SUMO-dependent Citation: Boulanger, M.; transcriptional mechanisms that have been characterized thus far and how they impact our view of Chakraborty, M.; Tempé, D.; SUMO-dependent chromatin organization are also considered.