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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 S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
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. -
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 .................................................................. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
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. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
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. -
The Epigenome in Pluripotency and Differentiation
Review Review The epigenome in pluripotency and differentiation The ability to culture pluripotent stem cells and direct their differentiation into Rathi D Thiagarajan1, Robert specific cell types in vitro provides a valuable experimental system for modeling Morey1 & Louise C Laurent*1 1 pluripotency, development and cellular differentiation. High-throughput profiling of Department of Reproductive Medicine, The University of California, San Diego, the transcriptomes and epigenomes of pluripotent stem cells and their differentiated La Jolla, CA, USA derivatives has led to identification of patterns characteristic of each cell type, *Author for correspondence: discovery of new regulatory features in the epigenome and early insights into the [email protected] complexity of dynamic interactions among regulatory elements. This work has also revealed potential limitations of the use of pluripotent stem cells as in vitro models of developmental events, due to epigenetic variability among different pluripotent stem cell lines and epigenetic instability during derivation and culture, particularly at imprinted and X-inactivated loci. This review focuses on the two most well-studied epigenetic mechanisms, DNA methylation and histone modifications, within the context of pluripotency and differentiation. Keywords: differentiation • DNA methylation • epigenome • histone modification • imprinting • pluripotency • sequencing • stem cells • X inactivation Early mammalian development involves genetic mechanisms in the regulation of the precise orchestration -
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. -
Altered DNA Methylation Pattern Characterizes the Peripheral Immune Cells of Patients with Autoimmune Hepatitis
medRxiv preprint doi: https://doi.org/10.1101/2021.07.01.21259836; this version posted July 5, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Altered DNA methylation pattern characterizes the peripheral immune cells of patients with autoimmune hepatitis Kalliopi Zachou1,2*, Pinelopi Arvaniti1*, Aggeliki Lyberopoulou1, Eirini Sevdali3, Matthaios Speletas3, Maria Ioannou4, George K. Koukoulis4, Yves Renaudineau5,6**, George N. Dalekos1,2** *These authors contributed equally to this work **These authors contributed equally to this work as senior authors 1Department of Medicine and Research Laboratory of Internal Medicine, National Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa, 41110 Larissa, Greece; 2Institute of Internal Medicine and Hepatology, 41447 Larissa, Greece; 3Department of Immunology and Histocompatibility, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece; 4Department of Pathology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece; 5INSERN U1291, CNR U5051, University Toulouse III, Toulouse Institute for infectious and inflammatory diseases, Toulouse, France; 6Department of Immunology, Purpan University Hospital Toulouse, Toulouse, France All correspondence and reprint requests to: George N. Dalekos, MD, PhD Professor of Medicine Head, Department of Medicine and Research Laboratory of Internal Medicine National Expertise Center of Greece in Autoimmune Liver Diseases General University Hospital of Larissa, 41110 Larissa, Greece Tel: ++30-241-350-2285; Fax: ++30-241-350-1557 e-mail: [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.