Androgen Modulation of XBP1 Is Functionally Driving Part of the AR Transcriptional Program
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Hedgehog Signaling Is Evolutionarily Conserved Cilium-Independent
Downloaded from genesdev.cshlp.org on August 14, 2009 - Published by Cold Spring Harbor Laboratory Press Cilium-independent regulation of Gli protein function by Sufu in Hedgehog signaling is evolutionarily conserved Miao-Hsueh Chen, Christopher W. Wilson, Ya-Jun Li, et al. Genes Dev. 2009 23: 1910-1928 Access the most recent version at doi:10.1101/gad.1794109 Supplemental http://genesdev.cshlp.org/content/suppl/2009/07/23/23.16.1910.DC1.html Material References This article cites 97 articles, 47 of which can be accessed free at: http://genesdev.cshlp.org/content/23/16/1910.full.html#ref-list-1 Email alerting Receive free email alerts when new articles cite this article - sign up in the box at the service top right corner of the article or click here To subscribe to Genes & Development go to: http://genesdev.cshlp.org/subscriptions Copyright © 2009 by Cold Spring Harbor Laboratory Press Downloaded from genesdev.cshlp.org on August 14, 2009 - Published by Cold Spring Harbor Laboratory Press Cilium-independent regulation of Gli protein function by Sufu in Hedgehog signaling is evolutionarily conserved Miao-Hsueh Chen,1,3 Christopher W. Wilson,1,3 Ya-Jun Li,1 Kelvin King Lo Law,2 Chi-Sheng Lu,1 Rhodora Gacayan,1 Xiaoyun Zhang,2 Chi-chung Hui,2 and Pao-Tien Chuang1,4 1Cardiovascular Research Institute, University of California at San Francisco, San Francisco, California 94158, USA; 2Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, and Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1L7, Canada A central question in Hedgehog (Hh) signaling is how evolutionarily conserved components of the pathway might use the primary cilium in mammals but not fly. -
Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. 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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
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. -
Chromatin State Barriers Enforce an Irreversible Mammalian Cell Fate Decision
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.12.443709; this version posted May 14, 2021. 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. Chromatin state barriers… Blanco et al. 2021 Chromatin state barriers enforce an irreversible mammalian cell fate decision M. Andrés Blanco1,19,*,†,, David B. Sykes6,8,19, Lei Gu2,15,17,18,19, Mengjun Wu2,4,15, Ricardo Petroni1, Rahul Karnik7,8,9, Mathias Wawer10, Joshua Rico1, Haitao Li1, William D. Jacobus2,12,15, Ashwini Jambhekar2,15,11, Sihem Cheloufi5, Alexander Meissner7,8,9,13, Konrad Hochedlinger6,7,8,14, David T. Scadden6,8,9,*, and Yang Shi2,3,* 1 Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA 2 Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA 3 Ludwig Institute for Cancer Research, Oxford Branch, Oxford University, UK 4 Current address: The Bioinformatics Centre, Department of Biology and Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark 5 Department of Biochemistry, Stem Cell Center, University of California, Riverside, Riverside, CA 92521, USA. 6 Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA. 7 Broad Institute of MIT and Harvard, Cambridge, MA, USA 8 Harvard Stem Cell Institute, Cambridge, Massachusetts, -
Id Proteins Promote a Cancer Stem Cell Phenotype in Triple Negative Breast
bioRxiv preprint doi: https://doi.org/10.1101/497313; this version posted March 11, 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 4.0 International license. 1 Id proteins promote a cancer stem cell phenotype in triple negative 2 breast cancer via negative regulation of Robo1 3 Wee S. Teo1,2, Holly Holliday1,2#, Nitheesh Karthikeyan3#, Aurélie S. Cazet1,2, Daniel L. 4 Roden1,2, Kate Harvey1, Christina Valbirk Konrad1, Reshma Murali3, Binitha Anu Varghese3, 5 Archana P. T.3,4, Chia-Ling Chan1,2, Andrea McFarland1, Simon Junankar1,2, Sunny Ye1, 6 Jessica Yang1, Iva Nikolic1,2, Jaynish S. Shah5, Laura A. Baker1,2, Ewan K.A. Millar1,6,7,8, 7 Mathew J. Naylor1,2,10, Christopher J. Ormandy1,2, Sunil R. Lakhani11, Warren Kaplan1,12, 8 Albert S. Mellick13,14, Sandra A. O’Toole1,9, Alexander Swarbrick1,2*, Radhika Nair1,2,3* 9 Affiliations 10 1Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia 11 2St Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, New South Wales, 12 Australia 13 3 Cancer Research Program, Rajiv Gandhi Centre for Biotechnology, Kerala, India 14 4Manipal Academy of Higher Education, Manipal, Karnataka, India 15 5Centenary Institute, The University of Sydney, New South Wales, Australia 16 6 Department of Anatomical Pathology, NSW Health Pathology, St George Hospital, 17 Kogarah, NSW, Australia 18 7 School of Medical Sciences, UNSW Sydney, Kensington NSW, Australia. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
The Title of the Dissertation
UNIVERSITY OF CALIFORNIA SAN DIEGO Novel network-based integrated analyses of multi-omics data reveal new insights into CD8+ T cell differentiation and mouse embryogenesis A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics and Systems Biology by Kai Zhang Committee in charge: Professor Wei Wang, Chair Professor Pavel Arkadjevich Pevzner, Co-Chair Professor Vineet Bafna Professor Cornelis Murre Professor Bing Ren 2018 Copyright Kai Zhang, 2018 All rights reserved. The dissertation of Kai Zhang is approved, and it is accept- able in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California San Diego 2018 iii EPIGRAPH The only true wisdom is in knowing you know nothing. —Socrates iv TABLE OF CONTENTS Signature Page ....................................... iii Epigraph ........................................... iv Table of Contents ...................................... v List of Figures ........................................ viii List of Tables ........................................ ix Acknowledgements ..................................... x Vita ............................................. xi Abstract of the Dissertation ................................. xii Chapter 1 General introduction ............................ 1 1.1 The applications of graph theory in bioinformatics ......... 1 1.2 Leveraging graphs to conduct integrated analyses .......... 4 1.3 References .............................. 6 Chapter 2 Systematic -
Ire1β Negatively Regulates Ire1α Signaling in Response to Endoplasmic Reticulum Stress
bioRxiv preprint doi: https://doi.org/10.1101/586305; this version posted March 23, 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. IRE1 negatively regulates IRE1 signaling in response to endoplasmic reticulum stress Michael J. Grey1,2,3†, Eva Cloots4,5†, Mariska S. Simpson1,6†, Nicole LeDuc1, Yevgeniy V. Serebrenik7, Heidi De Luca1, Delphine De Sutter4, Phi Luong1, Jay R. Thiagarajah1,2,3, Adrienne W. Paton8, James C. Paton8, Markus A. Seeliger9, Sven Eyckerman4, Sophie Janssens5, and Wayne I. Lencer1,2,3* 1Division of Gastroenterology, Hepatology, and Nutrition, Boston Children’s Hospital, Boston, MA 02115 2Harvard Medical School, Boston MA 02115 3Harvard Digestive Disease Center, Boston MA 02115 4VIB-UGent Center for Medical Biotechnology and Department of Biomolecular Medicine, Ghent University, Ghent, Belgium 5Laboratory for ER stress and Inflammation, VIB-UGent Center for Inflammation Research and Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium 6Molecular and Cellular Sciences, Graduate School of Life Sciences, Utrecht University, Utrecht, The Netherlands 7Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511 8Research Centre for Infectious Diseases, Department of Molecular and Biomedical Science, University of Adelaide, Adelaide, SA, Australia 9Department of Pharmacological Sciences, Stony Brook University Medical School, Stony Brook, NY 17794 †These authors contributed equally to this work. 1 bioRxiv preprint doi: https://doi.org/10.1101/586305; this version posted March 23, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
2017.08.28 Anne Barry-Reidy Thesis Final.Pdf
REGULATION OF BOVINE β-DEFENSIN EXPRESSION THIS THESIS IS SUBMITTED TO THE UNIVERSITY OF DUBLIN FOR THE DEGREE OF DOCTOR OF PHILOSOPHY 2017 ANNE BARRY-REIDY SCHOOL OF BIOCHEMISTRY & IMMUNOLOGY TRINITY COLLEGE DUBLIN SUPERVISORS: PROF. CLIONA O’FARRELLY & DR. KIERAN MEADE TABLE OF CONTENTS DECLARATION ................................................................................................................................. vii ACKNOWLEDGEMENTS ................................................................................................................... viii ABBREVIATIONS ................................................................................................................................ix LIST OF FIGURES............................................................................................................................. xiii LIST OF TABLES .............................................................................................................................. xvii ABSTRACT ........................................................................................................................................xix Chapter 1 Introduction ........................................................................................................ 1 1.1 Antimicrobial/Host-defence peptides ..................................................................... 1 1.2 Defensins................................................................................................................. 1 1.3 β-defensins ............................................................................................................. -
Mediator of DNA Damage Checkpoint 1 (MDC1) Is a Novel Estrogen Receptor Co-Regulator in Invasive 6 Lobular Carcinoma of the Breast 7 8 Evelyn K
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.16.423142; this version posted December 16, 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 4.0 International license. 1 Running Title: MDC1 co-regulates ER in ILC 2 3 Research article 4 5 Mediator of DNA damage checkpoint 1 (MDC1) is a novel estrogen receptor co-regulator in invasive 6 lobular carcinoma of the breast 7 8 Evelyn K. Bordeaux1+, Joseph L. Sottnik1+, Sanjana Mehrotra1, Sarah E. Ferrara2, Andrew E. Goodspeed2,3, James 9 C. Costello2,3, Matthew J. Sikora1 10 11 +EKB and JLS contributed equally to this project. 12 13 Affiliations 14 1Dept. of Pathology, University of Colorado Anschutz Medical Campus 15 2Biostatistics and Bioinformatics Shared Resource, University of Colorado Comprehensive Cancer Center 16 3Dept. of Pharmacology, University of Colorado Anschutz Medical Campus 17 18 Corresponding author 19 Matthew J. Sikora, PhD.; Mail Stop 8104, Research Complex 1 South, Room 5117, 12801 E. 17th Ave.; Aurora, 20 CO 80045. Tel: (303)724-4301; Fax: (303)724-3712; email: [email protected]. Twitter: 21 @mjsikora 22 23 Authors' contributions 24 MJS conceived of the project. MJS, EKB, and JLS designed and performed experiments. JLS developed models 25 for the project. EKB, JLS, SM, and AEG contributed to data analysis and interpretation. SEF, AEG, and JCC 26 developed and performed informatics analyses. MJS wrote the draft manuscript; all authors read and revised the 27 manuscript and have read and approved of this version of the manuscript. -
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. -
Farnesol-Induced Apoptosis in Human Lung Carcinoma Cells Is Coupled to the Endoplasmic Reticulum Stress Response
Research Article Farnesol-Induced Apoptosis in Human Lung Carcinoma Cells Is Coupled to the Endoplasmic Reticulum Stress Response Joung Hyuck Joo,1 Grace Liao,1 Jennifer B. Collins,2 Sherry F. Grissom,2 and Anton M. Jetten1 1Cell Biology Section, LRB, and 2Microarray Group, Division of Intramural Research, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina Abstract range of fruits and vegetables (9, 10). Each isoprenoid has been Farnesol (FOH) and other isoprenoid alcohols induce apopto- shown to inhibit proliferation and induce apoptosis in a number of sis in various carcinoma cells and inhibit tumorigenesis in neoplastic cell lines from different origins (4, 11–14). In addition, in vivo these isoprenoids have been reported to be effective in chemo- several models. However, the mechanisms by which in vivo they mediate their effects are not yet fully understood. In this prevention and chemotherapy in various cancer models study, we show that FOH is an effective inducer of apoptosis in (10, 12, 15, 16). FOH has been reported to exhibit chemopreventive several lung carcinoma cells, including H460. This induction is effects in colon and pancreas carcinogenesis in rats (9, 17) whereas associated with activation of several caspases and cleavage of phase I and II clinical trials have indicated therapeutic potential poly(ADP-ribose) polymerase (PARP). To obtain insight into for POH (16, 18). The mechanisms by which these isoprenoids induce these effects are not yet fully understood. Isoprenoids have the mechanism involved in FOH-induced apoptosis, we compared the gene expression profiles of FOH-treated and been reported to inhibit posttranslational protein prenylation (19) control H460 cells by microarray analysis.