The Mutations and Potential Targets of the Forkhead Transcription Factor FOXL2 L
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Core Transcriptional Regulatory Circuitries in Cancer
Oncogene (2020) 39:6633–6646 https://doi.org/10.1038/s41388-020-01459-w REVIEW ARTICLE Core transcriptional regulatory circuitries in cancer 1 1,2,3 1 2 1,4,5 Ye Chen ● Liang Xu ● Ruby Yu-Tong Lin ● Markus Müschen ● H. Phillip Koeffler Received: 14 June 2020 / Revised: 30 August 2020 / Accepted: 4 September 2020 / Published online: 17 September 2020 © The Author(s) 2020. This article is published with open access Abstract Transcription factors (TFs) coordinate the on-and-off states of gene expression typically in a combinatorial fashion. Studies from embryonic stem cells and other cell types have revealed that a clique of self-regulated core TFs control cell identity and cell state. These core TFs form interconnected feed-forward transcriptional loops to establish and reinforce the cell-type- specific gene-expression program; the ensemble of core TFs and their regulatory loops constitutes core transcriptional regulatory circuitry (CRC). Here, we summarize recent progress in computational reconstitution and biologic exploration of CRCs across various human malignancies, and consolidate the strategy and methodology for CRC discovery. We also discuss the genetic basis and therapeutic vulnerability of CRC, and highlight new frontiers and future efforts for the study of CRC in cancer. Knowledge of CRC in cancer is fundamental to understanding cancer-specific transcriptional addiction, and should provide important insight to both pathobiology and therapeutics. 1234567890();,: 1234567890();,: Introduction genes. Till now, one critical goal in biology remains to understand the composition and hierarchy of transcriptional Transcriptional regulation is one of the fundamental mole- regulatory network in each specified cell type/lineage. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Regulation of Sex Determination in Mice by a Non-Coding Genomic Region
HIGHLIGHTED ARTICLE GENETICS OF SEX Regulation of Sex Determination in Mice by a Non-coding Genomic Region Valerie A. Arboleda,* Alice Fleming,* Hayk Barseghyan,* Emmanuèle Délot,*,† Janet S. Sinsheimer,*,‡ and Eric Vilain*,†,§,1 *Department of Human Genetics, †Department of Pediatrics, ‡Department of Biomathematics, and §Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, California 90095-7088 ABSTRACT To identify novel genomic regions that regulate sex determination, we utilized the powerful C57BL/6J-YPOS (B6-YPOS) model of XY sex reversal where mice with autosomes from the B6 strain and a Y chromosome from a wild-derived strain, Mus domesticus poschiavinus (YPOS), show complete sex reversal. In B6-YPOS, the presence of a 55-Mb congenic region on chromosome 11 protects from sex reversal in a dose-dependent manner. Using mouse genetic backcross designs and high-density SNP arrays, we narrowed the congenic region to a 1.62-Mb genomic region on chromosome 11 that confers 80% protection from B6-YPOS sex reversal when one copy is present and complete protection when two copies are present. It was previously believed that the protective congenic region originated from the 129S1/SviMJ (129) strain. However, genomic analysis revealed that this region is not derived from 129 and most likely is derived from the semi-inbred strain POSA. We show that the small 1.62-Mb congenic region that protects against B6-YPOS sex reversal is located within the Sox9 promoter and promotes the expression of Sox9, thereby driving testis de- velopment within the B6-YPOS background. Through 30 years of backcrossing, this congenic region was maintained, as it promoted male sex determination and fertility despite the female-promoting B6-YPOS genetic background. -
SOX11 Interactome Analysis: Implication in Transcriptional Control and Neurogenesis
SOX11 interactome analysis: Implication in transcriptional control and neurogenesis Dissertation der Mathematisch-Naturwissenschaftlichen Fakultät der Eberhard Karls Universität Tübingen zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) vorgelegt von Birgit Heim, geb.Kick aus Augsburg Tübingen 2014 Gedruckt mit Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Eberhard Karls Universität Tübingen. Tag der mündlichen Qualifikation: 12.02.2015 Dekan: Prof. Dr. Wolfgang Rosenstiel 1. Berichterstatter: Prof. Dr. Olaf Rieß 2. Berichterstatter: Prof. Dr. Marius Ueffing Für meine Familie TABLE OF CONTENTS Table of contents Summary ................................................................................................................ 5 Zusammenfassung ............................................................................................... 7 1. Introduction ...................................................................................... 9 1.1. Adult neurogenesis .................................................................................... 9 1.1.1. Adult neural stem cells and neuronal precursor cells ............................ 9 1.1.2. Neurogenic niches .............................................................................. 11 1.1.3. Regulation of adult neurogenesis ........................................................ 12 1.1.3.1. Extrinsic mechanisms .................................................................. 12 1.1.3.2. Intrinsic mechanisms .................................................................. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Phox2b and Motoneuronal Differentiation
Development 127, 1349-1358 (2000) 1349 Printed in Great Britain © The Company of Biologists Limited 2000 DEV1515 Control of hindbrain motor neuron differentiation by the homeobox gene Phox2b Alexandre Pattyn, Marie-Rose Hirsch, Christo Goridis and Jean-François Brunet* Laboratoire de Génétique et Physiologie du Développement, Developmental Biology Institute of Marseille, CNRS/INSERM/Univ Méditerranée/AP de Marseille, Luminy Case 907, 13288 Marseille Cedex 9, France *Author for correspondence (e-mail: [email protected]) Accepted 11 January; published on WWW 7 March 2000 SUMMARY Motor neurons are a widely studied model of vertebrate both the generic and subtype-specific programs of neurogenesis. They can be subdivided in somatic, branchial motoneuronal differentiation are disrupted at an early and visceral motor neurons. Recent studies on the stage. Most motor neuron precursors die inside the dorsoventral patterning of the rhombencephalon have neuroepithelium while those that emigrate to the mantle implicated the homeobox genes Pax6 and Nkx2.2 in the layer fail to switch on early postmitotic markers and to early divergence of the transcriptional programme of downregulate neuroepithelial markers. Thus, the loss of hindbrain somatic and visceral motor neuronal function of Phox2b in hindbrain motor neurons exemplifies differentiation. We provide genetic evidence that the a novel control point in the generation of CNS neurons. paired-like homeodomain protein Phox2b is required for the formation of all branchial and visceral, but not somatic, Key words: Neurogenesis, Motor neuron, Homeobox gene, motor neurons in the hindbrain. In mice lacking Phox2b, Rhombencephalon, Phox2b, Mouse INTRODUCTION of sm neurons has been studied most extensively and some of the transcriptional cascades controlling their differentiation are The specification of neuronal subtype identity in the beginning to be understood. -
The Evolving Genetic Landscape of Hirschprung Disease: an Update and Review
Review Article Clinics in Surgery Published: 11 Oct, 2017 The Evolving Genetic Landscape of Hirschprung Disease: An Update and Review Amit Kumar Yadav* and Gaurav Chopra Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India Abstract Hirschsprung Disease (HD) is a developmental disorder characterized by the complete absence of ganglion cells in the distal gastrointestinal tract. It is the most common cause of functional intestinal obstruction in neonates and children. The aganglionosis is believed to be either due to failure of neural crest cells to migrate, proliferate, differentiate or survive during gut development in the embryonic stage. The incidence of HD is estimated at 1/5000 live births and shows a male predominance. It is usually sporadic, although it can be familial and may be inherited as autosomal dominant or autosomal recessive. In 70% of cases, HD occurs as an isolated trait and in the other 30% it is associated with other congenital malformation syndromes. HD has a complex multifactorial etiology, and genetic factors play a key role in its pathogenesis. Several gene loci appear to be involved. Many of these have been identified by conducting Genome Wide Association (GWAS) studies and recently by Next Generation Sequencing (NGS). These genes encode for receptors, ligands (especially those participating in the RET, EDNRB and Semaphorin signaling pathways), transcriptional factors (PHOX2B & SOX10). These genes are involved in the neural crest cell development and migration that give rise to ganglion cells. Overall, the RET proto-oncogene is considered the major disease causing gene in HD. A greater understanding of the genetic landscape of this disease might pave way for genetic counseling, prenatal and preimplantation diagnosis in the management of HD. -
Suppression of Notch Signaling Stimulates Progesterone Synthesis by Enhancing the Expression of NR5A2 and NR2F2 in Porcine Granulosa Cells
G C A T T A C G G C A T genes Article Suppression of Notch Signaling Stimulates Progesterone Synthesis by Enhancing the Expression of NR5A2 and NR2F2 in Porcine Granulosa Cells Rihong Guo 1,2, Fang Chen 2 and Zhendan Shi 1,2,* 1 Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; [email protected] 2 Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; [email protected] * Correspondence: [email protected] Received: 16 December 2019; Accepted: 18 January 2020; Published: 22 January 2020 Abstract: The conserved Notch pathway is reported to be involved in progesterone synthesis and secretion; however, the exact effects remain controversial. To determine the role and potential mechanisms of the Notch signaling pathway in progesterone biosynthesis in porcine granulosa cells (pGCs), we first used a pharmacological γ-secretase inhibitor, N-(N-(3,5-difluorophenacetyl-l-alanyl))-S-phenylglycine t-butyl ester (DAPT), to block the Notch pathway in cultured pGCs and then evaluated the expression of genes in the progesterone biosynthesis pathway and key transcription factors (TFs) regulating steroidogenesis. We found that DAPT dose- and time-dependently increased progesterone secretion. The expression of steroidogenic proteins NPC1 and StAR and two TFs, NR5A2 and NR2F2, was significantly upregulated, while the expression of HSD3B was significantly downregulated. Furthermore, knockdown of both NR5A2 and NR2F2 with specific siRNAs blocked the upregulatory effects of DAPT on progesterone secretion and reversed the effects of DAPT on the expression of NPC1, StAR, and HSD3B. -
HAND2 Synergistically Enhances Transcription of Dopamine-ß
Available online at www.sciencedirect.com R Developmental Biology 262 (2003) 183–193 www.elsevier.com/locate/ydbio HAND2 synergistically enhances transcription of dopamine-- hydroxylase in the presence of Phox2a Haiming Xu,a Anthony B. Firulli,b Xiaotong Zhang,a and Marthe J. Howarda,* a Department of Anatomy and Neurobiology, Medical College of Ohio, 3000 Arlington Ave., Toledo, OH 43614, USA b Wells Center for Pediatric Research, James Whitcomb Riley Hospital for Children, 702 Barnhill Drive, Room 2666, Indianapolis, IN 46202-5225, USA Received for publication 28 March 2003, revised 5 June 2003, accepted 5 June 2003 Abstract Noradrenergic neuronal identity and differentiation are controlled by cascades of transcription factors acting downstream of BMP4, including the basic helix–loop–helix DNA binding protein HAND2 and the homeodomain factor Phox2a. Dopamine--hydroxylase (DBH) is the penultimate enzyme required for synthesis of norepinephrine and is thus a noradrenergic cell type-specific marker. We have examined the interaction of HAND2 and Phox2a at the DBH promoter. Using transient transfection of P19 or NT-2 cells, HAND2 is shown to synergistically enhance Phox2a-driven transcriptional activity at the DBH promoter, an effect that is enhanced by cAMP. While mutation of the Phox2a homeodomain binding sites HD1, HD2, and HD3 results in the loss of HAND2/Phox2a transactivation of DBH, it is the interaction of HAND2/Phox2a at the CRE/AP1-HD1/2 domains in the DBH enhancer that are required for synergistic activation by HAND2. We find that HAND2 functions as a transcriptional activator without directly binding to E-box sequences in the DBH promoter, suggesting that HAND2-mediated DBH activity occurs by protein–protein interactions with other transcriptional regulators. -
Journal.Pbio.2005886 August 10, 2018 1 / 47 Muscle Clock Directs Diurnal Metabolism
RESEARCH ARTICLE Transcriptional programming of lipid and amino acid metabolism by the skeletal muscle circadian clock Kenneth Allen Dyar1,2*, MichaeÈl Jean Hubert1, Ashfaq Ali Mir1, Stefano Ciciliot2, Dominik Lutter1, Franziska Greulich1, Fabiana Quagliarini1, Maximilian Kleinert1, Katrin Fischer1, Thomas Oliver Eichmann3, Lauren Emily Wright4, Marcia Ivonne Peña Paz2, Alberto Casarin5, Vanessa Pertegato5, Vanina Romanello2, Mattia Albiero2, Sara Mazzucco6, Rosario Rizzuto4, Leonardo Salviati5, Gianni Biolo6, Bert Blaauw2,4, a1111111111 Stefano Schiaffino2, N. Henriette Uhlenhaut1,7* a1111111111 1 Helmholtz Diabetes Center (HMGU) and German Center for Diabetes Research (DZD), Institute for a1111111111 Diabetes and Obesity (IDO), Munich, Germany, 2 Venetian Institute of Molecular Medicine (VIMM), Padova, a1111111111 Italy, 3 Institute of Molecular Biosciences, University of Graz, Graz, Austria, 4 Department of Biomedical a1111111111 Sciences, University of Padova, Padova, Italy, 5 Clinical Genetics Unit, Department of Woman and Child Health, University of Padova, and IRP Città della Speranza, Padova, Italy, 6 Clinica Medica, Department of Medical Sciences, University of Trieste, Trieste, Italy, 7 Gene Center, Ludwig-Maximilians-Universitaet (LMU), Munich, Germany * [email protected] (KAD); [email protected] (NHU) OPEN ACCESS Citation: Dyar KA, Hubert MJ, Mir AA, Ciciliot S, Lutter D, Greulich F, et al. (2018) Transcriptional programming of lipid and amino acid metabolism Abstract by the skeletal -
Defining the Transcriptomic Landscape of the Developing Enteric Nervous System and Its Cellular Environment Sweta Roy-Carson Iowa State University, [email protected]
Genetics, Development and Cell Biology Genetics, Development and Cell Biology Publications 2017 Defining the transcriptomic landscape of the developing enteric nervous system and its cellular environment Sweta Roy-Carson Iowa State University, [email protected] Kevin Natukunda Iowa State University, [email protected] Hsien-chao Chou Iowa State University Narinder Pal Iowa State University Caitlin Farris Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/gdcb_las_pubs See next page for additional authors Part of the Cell and Developmental Biology Commons, and the Molecular Genetics Commons The ompc lete bibliographic information for this item can be found at https://lib.dr.iastate.edu/ gdcb_las_pubs/202. For information on how to cite this item, please visit http://lib.dr.iastate.edu/ howtocite.html. This Article is brought to you for free and open access by the Genetics, Development and Cell Biology at Iowa State University Digital Repository. It has been accepted for inclusion in Genetics, Development and Cell Biology Publications by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Defining the transcriptomic landscape of the developing enteric nervous system and its cellular environment Abstract Background: Motility and the coordination of moving food through the gastrointestinal tract rely on a complex network of neurons known as the enteric nervous system (ENS). Despite its critical function, many of the molecular mechanisms that direct the development of the ENS and the elaboration of neural network connections remain unknown. The og al of this study was to transcriptionally identify molecular pathways and candidate genes that drive specification, differentiation and the neural circuitry of specific neural progenitors, the phox2b expressing ENS cell lineage, during normal enteric nervous system development. -
Epigenetic Services Citations
Active Motif Epigenetic Services Publications The papers below contain data generated by Active Motif’s Epigenetic Services team. To learn more about our services, please give us a call or visit us at www.activemotif.com/services. Technique Target Journal Year Reference Justin C. Boucher et al. CD28 Costimulatory Domain- ATAC-Seq, Cancer Immunol. Targeted Mutations Enhance Chimeric Antigen Receptor — 2021 RNA-Seq Res. T-cell Function. Cancer Immunol. Res. doi: 10.1158/2326- 6066.CIR-20-0253. Satvik Mareedu et al. Sarcolipin haploinsufficiency Am. J. Physiol. prevents dystrophic cardiomyopathy in mdx mice. RNA-Seq — Heart Circ. 2021 Am J Physiol Heart Circ Physiol. doi: 10.1152/ Physiol. ajpheart.00601.2020. Gabi Schutzius et al. BET bromodomain inhibitors regulate Nature Chemical ChIP-Seq BRD4 2021 keratinocyte plasticity. Nat. Chem. Biol. doi: 10.1038/ Biology s41589-020-00716-z. Siyun Wang et al. cMET promotes metastasis and ChIP-qPCR FOXO3 J. Cell Physiol. 2021 epithelial-mesenchymal transition in colorectal carcinoma by repressing RKIP. J. Cell Physiol. doi: 10.1002/jcp.30142. Sonia Iyer et al. Genetically Defined Syngeneic Mouse Models of Ovarian Cancer as Tools for the Discovery of ATAC-Seq — Cancer Discovery 2021 Combination Immunotherapy. Cancer Discov. doi: doi: 10.1158/2159-8290 Vinod Krishna et al. Integration of the Transcriptome and Genome-Wide Landscape of BRD2 and BRD4 Binding BRD2, BRD4, RNA Motifs Identifies Key Superenhancer Genes and Reveals ChIP-Seq J. Immunol. 2021 Pol II the Mechanism of Bet Inhibitor Action in Rheumatoid Arthritis Synovial Fibroblasts. J. Immunol. doi: doi: 10.4049/ jimmunol.2000286. Daniel Haag et al.