Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug
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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. -
Book of Abstracts Ii Contents
2014 CAP Congress / Congrès de l’ACP 2014 Sunday, 15 June 2014 - Friday, 20 June 2014 Laurentian University / Université Laurentienne Book of Abstracts ii Contents An Analytic Mathematical Model to Explain the Spiral Structure and Rotation Curve of NGC 3198. .......................................... 1 Belle-II: searching for new physics in the heavy flavor sector ................ 1 The high cost of science disengagement of Canadian Youth: Reimagining Physics Teacher Education for 21st Century ................................. 1 What your advisor never told you: Education for the ’Real World’ ............. 2 Back to the Ionosphere 50 Years Later: the CASSIOPE Enhanced Polar Outflow Probe (e- POP) ............................................. 2 Changing students’ approach to learning physics in undergraduate gateway courses . 3 Possible Astrophysical Observables of Quantum Gravity Effects near Black Holes . 3 Supersymmetry after the LHC data .............................. 4 The unintentional irradiation of a live human fetus: assessing the likelihood of a radiation- induced abortion ...................................... 4 Using Conceptual Multiple Choice Questions ........................ 5 Search for Supersymmetry at ATLAS ............................. 5 **WITHDRAWN** Monte Carlo Field-Theoretic Simulations for Melts of Diblock Copoly- mer .............................................. 6 Surface tension effects in soft composites ........................... 6 Correlated electron physics in quantum materials ...................... 6 The -
Independence of Hif1a and Androgen Signaling Pathways in Prostate Cancer
bioRxiv preprint doi: https://doi.org/10.1101/848424; this version posted November 26, 2019. 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. Independence of HIF1a and androgen signaling pathways in prostate cancer Maxine GB Tran1, 2*, Becky AS Bibby3†*, Lingjian Yang3, Franklin Lo1, Anne Warren1, Deepa Shukla1, Michelle Osborne1, James Hadfield1, Thomas Carroll1, Rory Stark1, Helen Scott1, Antonio Ramos-Montoya1, Charlie Massie1, Patrick Maxwell1, Catharine ML West3, 4, Ian G. Mills5,6** and David E. Neal1** 1Uro-oncology Research Group, Cancer Research UK Cambridge Institute, Cambridge, CB02 0RE, United Kingdom 2UCL division of Surgery and Interventional Science, Royal Free Hospital, Pond Street, London NW3 2QG 3Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital NHS Trust, Manchester, M20 4BX, United Kingdom 4Manchester Biomedical Research Centre, University of Manchester, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom. 5Centre for Cancer Research and Cell Biology, Queens University Belfast, Belfast, BT9 7AE, United Kingdom 6Nuffield Department of Surgical Sciences, University of Oxford, OX3 9DU, UK *These authors contributed equally to this work **These authors contributed equally to this work †Corresponding author email: Becky Bibby, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Christie Hospital NHS Trust, Manchester, M20 4BX, United Kingdom, [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/848424; this version posted November 26, 2019. -
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. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
UNIVERSITY of CALIFORNIA, IRVINE Combinatorial Regulation By
UNIVERSITY OF CALIFORNIA, IRVINE Combinatorial regulation by maternal transcription factors during activation of the endoderm gene regulatory network DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biological Sciences by Kitt D. Paraiso Dissertation Committee: Professor Ken W.Y. Cho, Chair Associate Professor Olivier Cinquin Professor Thomas Schilling 2018 Chapter 4 © 2017 Elsevier Ltd. © 2018 Kitt D. Paraiso DEDICATION To the incredibly intelligent and talented people, who in one way or another, helped complete this thesis. ii TABLE OF CONTENTS Page LIST OF FIGURES vii LIST OF TABLES ix LIST OF ABBREVIATIONS X ACKNOWLEDGEMENTS xi CURRICULUM VITAE xii ABSTRACT OF THE DISSERTATION xiv CHAPTER 1: Maternal transcription factors during early endoderm formation in 1 Xenopus Transcription factors co-regulate in a cell type-specific manner 2 Otx1 is expressed in a variety of cell lineages 4 Maternal otx1 in the endodermal conteXt 5 Establishment of enhancers by maternal transcription factors 9 Uncovering the endodermal gene regulatory network 12 Zygotic genome activation and temporal control of gene eXpression 14 The role of maternal transcription factors in early development 18 References 19 CHAPTER 2: Assembly of maternal transcription factors initiates the emergence 26 of tissue-specific zygotic cis-regulatory regions Introduction 28 Identification of maternal vegetally-localized transcription factors 31 Vegt and OtX1 combinatorially regulate the endodermal 33 transcriptome iii -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Identification and Characterization of Tissue-Resident Memory T Cells in Humans Brahma Vencel Kumar
Identification and characterization of tissue-resident memory T cells in humans Brahma Vencel Kumar Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2018 ©2017 Brahma Vencel Kumar All rights reserved ABSTRACT Identification and characterization of tissue-resident memory T cells in humans Brahma Vencel Kumar Memory T cells are critical for maintaining lifelong immunity by protecting against reinfection with previously encountered pathogens. In recent years, a subset of memory T cells termed tissue-resident memory T cells (TRM) has emerged as the primary mediator of protection at many tissue sites. Numerous studies in mice have demonstrated that TRM accelerate pathogen clearance compared with other subsets of memory T cells. The defining characteristic of TRM is that they are retained within tissues and do not circulate in the blood. The lack of TRM in blood has proved to be a barrier for investigating the role of TRM in healthy humans. As a result, there are many outstanding questions about TRM biology in humans, including which phenotypic markers identify TRM, if TRM represent a unique memory subset, as well as defining transcriptional and functional characteristics of this subset. Through a unique collaboration with the local organ procurement agency, we obtained samples from >15 tissue sites from healthy organ donors of all ages. We found that the surface marker CD69 was expressed by memory CD4 + and CD8 + T cells in multiple tissues including spleen and other lymphoid tissues, lung, and intestines, but not in blood, suggesting that this marker may identify TRM in human tissues. -
Ten Commandments for a Good Scientist
Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Wageningen 2010 Thesis committee Thesis supervisors Prof. dr. ir. Ivonne M.C.M. Rietjens Professor of Toxicology Wageningen University Prof. dr. Albertinka J. Murk Personal chair at the sub-department of Toxicology Wageningen University Thesis co-supervisor Dr. ir. Jacques J.M. Vervoort Associate professor at the Laboratory of Biochemistry Wageningen University Other members Prof. dr. Michael R. Muller, Wageningen University Prof. dr. ir. Huub F.J. Savelkoul, Wageningen University Prof. dr. Everardus J. van Zoelen, Radboud University Nijmegen Dr. ir. Toine F.H. Bovee, RIKILT, Wageningen This research was conducted under the auspices of the Graduate School VLAG Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Thesis submitted in fulfillment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. dr. M.J. Kropff, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Tuesday 14 September 2010 at 4 p.m. in the Aula Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds. Ana María Sotoca Covaleda Thesis Wageningen University, Wageningen, The Netherlands, 2010, With references, and with summary in Dutch. ISBN: 978-90-8585-707-5 “Caminante no hay camino, se hace camino al andar. Al andar se hace camino, y al volver la vista atrás se ve la senda que nunca se ha de volver a pisar” - Antonio Machado – A mi madre. -
Tesislzingaretti13junio2016 (1).Pdf (10.14Mb)
UNIVERSIDAD NACIONAL DE CORDOBA´ MAESTR´IA EN ESTAD´ISTICA APLICADA INTEGRACION´ DE DATOS DE EXPRESION´ GENICA´ ASOCIADOS A L´INEAS CELULARES DE CANCERES:´ UN ENFOQUE UTILIZANDO LA METODOLOG´IA STATIS-ACT, METODOS´ BIPLOT Y MINER´IA DE TEXTO Prof. Mar´ıaLaura Zingaretti Junio-2016 Director: Prof. Dr. Jhonny Rafael Demey Co-Director: Prof. Dr. Julio Alejandro Di Rienzo INTEGRACiON DE DATOS DE EXPRESION GENICA ASOCIADOS A LINEAS CELULARES DE CANCERES: UN ENFOQUE UTILIZANDO LA METODOLOGIA STATIS-ACT, METODOS BIPLOT Y MINERIA DE TEXTO por Zingaretti, María Laura se distribuye bajo una Licencia Creative Commons Atribución – No Comercial – Sin Obra Derivada 4.0 Internacional. Agradecimientos Al director de este trabajo, el Prof. Dr. Jhonny Demey por su confianza y gu´ıaconstantes, por su paciencia y su infinita generosidad para ense~narme y especialmente, por transmitirme la pasi´onpor esta disciplina. Al Dr. Julio Di Rienzo por su confianza y por sus orientaciones, tanto en la realizaci´onde este trabajo como en los cursos de la maestr´ıa. Al Dr. Crist´obalFresno porque siempre ha estado para ayudarme. A todo el cuerpo de profesores y trabajadores no docentes de la Maestr´ıaen Estad´ısticaAplicada por su dedicaci´onconstante. A la Universidad Nacional de Villa Mar´ıa,por haber financiado parte de mis estudios y por la formaci´onque he recibido durante a~nosen esta instituci´on, tanto como estudiante como en mi tarea docente. A las amigas que encontr´een la maestr´ıa:Jime, Vale y Belu. Sin duda, ha sido una de las cosas m´aslindas de este camino. -
Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer
Published OnlineFirst January 18, 2012; DOI: 10.1158/1078-0432.CCR-11-1539 Clinical Cancer Imaging, Diagnosis, Prognosis Research Integrative Survival-Based Molecular Profiling of Human Pancreatic Cancer Timothy R. Donahue1,2,3,4, Linh M. Tran2,3, Reginald Hill2,3, Yunfeng Li2,3, Anne Kovochich5, Joseph H. Calvopina3, Sanjeet G. Patel1, Nanping Wu2,3, Antreas Hindoyan2,3, James J. Farrell6, Xinmin Li5, David W. Dawson4,5, and Hong Wu2,3,4,7 Abstract Purpose: To carry out an integrative profile of human pancreatic ductal adenocarcinoma (PDAC) to identify prognosis-significant genes and their related pathways. Experimental Design: A concordant survival-based whole genome in silico array analysis of DNA copy number, and mRNA and miRNA expression in 25 early-stage PDAC was carried out. A novel composite score simultaneously integrated gene expression with regulatory mechanisms to identify the signature genes with the most levels of prognosis-significant evidence. The predominant signaling pathways were determined via a pathway-based approach. Independent patient cohorts (n ¼ 148 and 42) were then used as in vitro validation of the array findings. Results: The composite score identified 171 genes in which expressions were able to define two prognosis subgroups (P ¼ 3.8e-5). Eighty-eight percent (151 of 171) of the genes were regulated by prognosis-significant miRNAs. The phosphoinositide 3-kinase/AKT pathway and SRC signaling were densely populated by prognosis-significant genes and driven by genomic amplification of SRC and miRNA regulation of p85a and CBL. On tissue microarray validation (n ¼ 148), p85a protein expression was associated with improved survival for all patients (P ¼ 0.02), and activated P-SRC (Y418) was associated shorter survival for patients with low-grade histology tumors (P ¼ 0.04).