The Genetic Factors of Bilaterian Evolution Peter Heger1*, Wen Zheng1†, Anna Rottmann1, Kristen a Panfilio2,3, Thomas Wiehe1
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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. -
Identical Genomic Organization of Two Hemichordate Hox Clusters
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Current Biology 22, 2053–2058, November 6, 2012 ª2012 Elsevier Ltd All rights reserved http://dx.doi.org/10.1016/j.cub.2012.08.052 Report Identical Genomic Organization of Two Hemichordate Hox Clusters Robert Freeman,1,12 Tetsuro Ikuta,2,12 Michael Wu,3 [10] have similar organization to the hemichordate cluster, Ryo Koyanagi,2 Takeshi Kawashima,2 Kunifumi Tagawa,4 but with different posterior genes. These results provide Tom Humphreys,5 Guang-Chen Fang,6 Asao Fujiyama,7 genomic evidence for a well-ordered complex in the deutero- Hidetoshi Saiga,8 Christopher Lowe,9 Kim Worley,10 stome ancestor for the hox1–hox9/10 region, with the Jerry Jenkins,11 Jeremy Schmutz,11 Marc Kirschner,1 number and kind of posterior genes still to be elucidated. Daniel Rokhsar,3 Nori Satoh,2,* and John Gerhart3,* 1 Department of Systems Biology, Harvard Medical School, Results and Discussion Boston, MA 02114, USA 2 Marine Genomics Unit, Okinawa Institute of Science and Here we characterize the order, transcriptional orientation, and Technology Graduate University, Onna, clustering of the Hox genes of the genomes of two widely Okinawa 904-0495, Japan studied model hemichordates, Saccoglossus kowalevskii 3 Department of Molecular and Cell Biology, University of and Ptychodera flava [4, 11, 12], that represent two major California, Berkeley, Berkeley, CA 94720-3200, USA evolutionary branches of enteropneust hemichordates that 4 Marine Biological Laboratory, Graduate School of Science, diverged an estimated 400 million years ago (MYa) [13]: Hiroshima University, Onomichi, Hiroshima 722-0073, Japan Saccoglossus, of the direct developing harimaniids, and 5 Department of Cell and Molecular Biology, University of Ptychodera, of the indirect developing ptychoderids [14]. -
View of HER2: Human Epidermal Growth Factor Receptor 2; TNBC: Triple-Negative Breast Resistance to Systemic Therapy in Patients with Breast Cancer
Wen et al. Cancer Cell Int (2018) 18:128 https://doi.org/10.1186/s12935-018-0625-9 Cancer Cell International PRIMARY RESEARCH Open Access Sulbactam‑enhanced cytotoxicity of doxorubicin in breast cancer cells Shao‑hsuan Wen1†, Shey‑chiang Su2†, Bo‑huang Liou3, Cheng‑hao Lin1 and Kuan‑rong Lee1* Abstract Background: Multidrug resistance (MDR) is a major obstacle in breast cancer treatment. The predominant mecha‑ nism underlying MDR is an increase in the activity of adenosine triphosphate (ATP)-dependent drug efux trans‑ porters. Sulbactam, a β-lactamase inhibitor, is generally combined with β-lactam antibiotics for treating bacterial infections. However, sulbactam alone can be used to treat Acinetobacter baumannii infections because it inhibits the expression of ATP-binding cassette (ABC) transporter proteins. This is the frst study to report the efects of sulbactam on mammalian cells. Methods: We used the breast cancer cell lines as a model system to determine whether sulbactam afects cancer cells. The cell viabilities in the present of doxorubicin with or without sulbactam were measured by MTT assay. Protein identities and the changes in protein expression levels in the cells after sulbactam and doxorubicin treatment were determined using LC–MS/MS. Real-time reverse transcription polymerase chain reaction (real-time RT-PCR) was used to analyze the change in mRNA expression levels of ABC transporters after treatment of doxorubicin with or without sulbactam. The efux of doxorubicin was measures by the doxorubicin efux assay. Results: MTT assay revealed that sulbactam enhanced the cytotoxicity of doxorubicin in breast cancer cells. The results of proteomics showed that ABC transporter proteins and proteins associated with the process of transcription and initiation of translation were reduced. -
In Vivo Studies Using the Classical Mouse Diversity Panel
The Mouse Diversity Panel Predicts Clinical Drug Toxicity Risk Where Classical Models Fail Alison Harrill, Ph.D The Hamner-UNC Institute for Drug Safety Sciences 0 The Importance of Predicting Clinical Adverse Drug Reactions (ADR) Figure: Cath O’Driscoll Nature Publishing 2004 Risk ID PGx Testing 1 People Respond Differently to Drugs Pharmacogenetic Markers Identified by Genome-Wide Association Drug Adverse Drug Risk Allele Reaction (ADR) Abacavir Hypersensitivity HLA-B*5701 Flucloxacillin Hepatotoxicity Allopurinol Cutaneous ADR HLA-B*5801 Carbamazepine Stevens-Johnson HLA-B*1502 Syndrome Augmentin Hepatotoxicity DRB1*1501 Ximelagatran Hepatotoxicity DRB1*0701 Ticlopidine Hepatotoxicity HLA-A*3303 Average preclinical populations and human hepatocytes lack the diversity to detect incidence of adverse events that occur only in 1/10,000 people. Current Rodent Models of Risk Assessment The Challenge “At a time of extraordinary scientific progress, methods have hardly changed in several decades ([FDA] 2004)… Toxicologists face a major challenge in the twenty-first century. They need to embrace the new “omics” techniques and ensure that they are using the most appropriate animals if their discipline is to become a more effective tool in drug development.” -Dr. Michael Festing Quantitative geneticist Toxicol Pathol. 2010;38(5):681-90 Rodent Models as a Strategy for Hazard Characterization and Pharmacogenetics Genetically defined rodent models may provide ability to: 1. Improve preclinical prediction of drugs that carry a human safety risk 2. -
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. -
Prospective Isolation of NKX2-1–Expressing Human Lung Progenitors Derived from Pluripotent Stem Cells
The Journal of Clinical Investigation RESEARCH ARTICLE Prospective isolation of NKX2-1–expressing human lung progenitors derived from pluripotent stem cells Finn Hawkins,1,2 Philipp Kramer,3 Anjali Jacob,1,2 Ian Driver,4 Dylan C. Thomas,1 Katherine B. McCauley,1,2 Nicholas Skvir,1 Ana M. Crane,3 Anita A. Kurmann,1,5 Anthony N. Hollenberg,5 Sinead Nguyen,1 Brandon G. Wong,6 Ahmad S. Khalil,6,7 Sarah X.L. Huang,3,8 Susan Guttentag,9 Jason R. Rock,4 John M. Shannon,10 Brian R. Davis,3 and Darrell N. Kotton1,2 2 1Center for Regenerative Medicine, and The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA. 3Center for Stem Cell and Regenerative Medicine, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas, USA. 4Department of Anatomy, UCSF, San Francisco, California, USA. 5Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA. 6Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, Massachusetts, USA. 7Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA. 8Columbia Center for Translational Immunology & Columbia Center for Human Development, Columbia University Medical Center, New York, New York, USA. 9Department of Pediatrics, Monroe Carell Jr. Children’s Hospital, Vanderbilt University, Nashville, Tennessee, USA. 10Division of Pulmonary Biology, Cincinnati Children’s Hospital, Cincinnati, Ohio, USA. It has been postulated that during human fetal development, all cells of the lung epithelium derive from embryonic, endodermal, NK2 homeobox 1–expressing (NKX2-1+) precursor cells. -
An Interactive Web Application to Explore Regeneration-Associated Gene Expression and Chromatin Accessibility
Supplementary Materials Regeneration Rosetta: An interactive web application to explore regeneration-associated gene expression and chromatin accessibility Andrea Rau, Sumona P. Dhara, Ava J. Udvadia, Paul L. Auer 1. Table S1. List of cholesterol metabolic genes from MGI database 2. Table S2. List of differentially expressed transcripts during optic nerve regeneration in zebrafish using the MGI cholesterol metabolic gene queries in the Regeneration Rosetta app 3. Table S3. List of transcription factor encoding genes from brain cell bodies following spinal cord injury in lamprey over a course of 12 weeKs 4. Table S4. List of transcription factor encoding genes from spinal cell bodies following spinal cord injury in lamprey over a course of 12 weeks Ensembl ID MGI Gene ID Symbol Name ENSMUSG00000015243 MGI:99607 Abca1 ATP-binding cassette, sub-family A (ABC1), member 1 ENSMUSG00000026944 MGI:99606 Abca2 ATP-binding cassette, sub-family A (ABC1), member 2 ENSMUSG00000024030 MGI:107704 Abcg1 ATP binding cassette subfamily G member 1 ENSMUSG00000026003 MGI:87866 Acadl acyl-Coenzyme A dehydrogenase, long-chain ENSMUSG00000018574 MGI:895149 Acadvl acyl-Coenzyme A dehydrogenase, very long chain ENSMUSG00000038641 MGI:2384785 Akr1d1 aldo-keto reductase family 1, member D1 ENSMUSG00000028553 MGI:1353627 Angptl3 angiopoietin-like 3 ENSMUSG00000031996 MGI:88047 Aplp2 amyloid beta (A4) precursor-like protein 2 ENSMUSG00000032083 MGI:88049 Apoa1 apolipoprotein A-I ENSMUSG00000005681 MGI:88050 Apoa2 apolipoprotein A-II ENSMUSG00000032080 MGI:88051 Apoa4 -
Vertebrate Proteins Predicted from Genomic Sequences
Vertebrate proteins predicted from genomic sequences VWD C8 TIL PTS Mucin2_WxxW F5_F8_type_C FCGBP_N VWC Lethenteron_camtschaticum Cyclostomata; Hyperoartia; Petromyzontiformes; Petromyzontidae; Lethenteron Lethenteron_camtschaticum.0.pep1 Petromyzon_marinus Cyclostomata; Hyperoartia; Petromyzontiformes; Petromyzontidae; Petromyzon Petromyzon_marinus.0.pep1 Callorhinchus_milii Gnathostomata; Chondrichthyes; Holocephali; Chimaeriformes; Callorhinchidae; Callorhinchus Callorhinchus_milii.0.pep1 Callorhinchus_milii Gnathostomata; Chondrichthyes; Holocephali; Chimaeriformes; Callorhinchidae; Callorhinchus Callorhinchus_milii.0.pep2 Callorhinchus_milii Gnathostomata; Chondrichthyes; Holocephali; Chimaeriformes; Callorhinchidae; Callorhinchus Callorhinchus_milii.0.pep3 Lepisosteus_oculatus Gnathostomata; Teleostomi; Euteleostomi; Actinopterygii; Actinopteri; Neopterygii; Holostei; Semionotiformes; Lepisosteus_oculatus.0.pep1 Lepisosteus_oculatus Gnathostomata; Teleostomi; Euteleostomi; Actinopterygii; Actinopteri; Neopterygii; Holostei; Semionotiformes; Lepisosteus_oculatus.0.pep2 Lepisosteus_oculatus Gnathostomata; Teleostomi; Euteleostomi; Actinopterygii; Actinopteri; Neopterygii; Holostei; Semionotiformes; Lepisosteus_oculatus.0.pep3 Lepisosteus_oculatus Gnathostomata; Teleostomi; Euteleostomi; Actinopterygii; Actinopteri; Neopterygii; Holostei; Semionotiformes; Lepisosteus_oculatus.1.pep1 TILa Cynoglossus_semilaevis Gnathostomata; Teleostomi; Euteleostomi; Actinopterygii; Actinopteri; Neopterygii; Teleostei; Cynoglossus_semilaevis.1.pep1 -
Crystal Structure of Human Gadd45 Reveals an Active Dimer
Protein Cell 2011, 2(10): 814–826 Protein & Cell DOI 10.1007/s13238-011-1090-6 RESEARCH ARTICLE Crystal structure of human Gadd45 reveals an active dimer 1,2,3* 1* 4 4 1 1 3 Wenzheng Zhang , Sheng Fu , Xuefeng Liu , Xuelian Zhao✉ , Wenchi Zhang✉ , Wei Peng , Congying Wu , Yuanyuan Li3, Xuemei Li1, Mark Bartlam1,2, Zong-Hao Zeng1 , Qimin Zhan4 , Zihe Rao1,2,3 1 National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China 2 Tianjin Key Laboratory of Protein Science, College of Life Sciences, Nankai University, Tianjin 300071, China 3 Laboratory of Structural Biology, Tsinghua University, Beijing 100084, China 4 State Key Laboratory of Molecular Oncology, Cancer Institute, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China ✉ Correspondence: [email protected] (Z.-H. Zeng), [email protected] (Q. Zhan) Received August 23, 2011 Accepted September 19, 2011 ABSTRACT INTRODUCTION The human Gadd45 protein family plays critical roles in The human Gadd45 family of growth arrest and DNA DNA repair, negative growth control, genomic stability, damage-inducible proteins has three members, Gadd45α, cell cycle checkpoints and apoptosis. Here we report the -β, and -γ, grouped together on the basis of their amino acid crystal structure of human Gadd45, revealing a unique sequences and functional similarities (Vairapandi et al., 1996; dimer formed via a bundle of four parallel helices, Takekawa and Saito, 1998; Nakayama et al., 1999). The involving the most conserved residues among the genes encoding the α, β and γ isoforms of Gadd45 are Gadd45 isoforms. -
Abstracts from the 9Th Biennial Scientific Meeting of The
International Journal of Pediatric Endocrinology 2017, 2017(Suppl 1):15 DOI 10.1186/s13633-017-0054-x MEETING ABSTRACTS Open Access Abstracts from the 9th Biennial Scientific Meeting of the Asia Pacific Paediatric Endocrine Society (APPES) and the 50th Annual Meeting of the Japanese Society for Pediatric Endocrinology (JSPE) Tokyo, Japan. 17-20 November 2016 Published: 28 Dec 2017 PS1 Heritable forms of primary bone fragility in children typically lead to Fat fate and disease - from science to global policy a clinical diagnosis of either osteogenesis imperfecta (OI) or juvenile Peter Gluckman osteoporosis (JO). OI is usually caused by dominant mutations affect- Office of Chief Science Advsor to the Prime Minister ing one of the two genes that code for two collagen type I, but a re- International Journal of Pediatric Endocrinology 2017, 2017(Suppl 1):PS1 cessive form of OI is present in 5-10% of individuals with a clinical diagnosis of OI. Most of the involved genes code for proteins that Attempts to deal with the obesity epidemic based solely on adult be- play a role in the processing of collagen type I protein (BMP1, havioural change have been rather disappointing. Indeed the evidence CREB3L1, CRTAP, LEPRE1, P4HB, PPIB, FKBP10, PLOD2, SERPINF1, that biological, developmental and contextual factors are operating SERPINH1, SEC24D, SPARC, from the earliest stages in development and indeed across generations TMEM38B), or interfere with osteoblast function (SP7, WNT1). Specific is compelling. The marked individual differences in the sensitivity to the phenotypes are caused by mutations in SERPINF1 (recessive OI type obesogenic environment need to be understood at both the individual VI), P4HB (Cole-Carpenter syndrome) and SEC24D (‘Cole-Carpenter and population level. -
Differential Regulation of Parahox Genes by Retinoic Acid in the Invertebrate Chordate Amphioxus (Branchiostoma floridae)
Developmental Biology 327 (2009) 252–262 Contents lists available at ScienceDirect Developmental Biology journal homepage: www.elsevier.com/developmentalbiology Evolution of Developmental Control Mechanisms Differential regulation of ParaHox genes by retinoic acid in the invertebrate chordate amphioxus (Branchiostoma floridae) Peter W. Osborne a,1, Gérard Benoit b, Vincent Laudet b, Michael Schubert b,2, David E.K. Ferrier a,⁎,1,2 a Zoology Department, Oxford University, South Parks Road, Oxford, OX1 3PS, UK b Institut de Génomique Fonctionnelle de Lyon, Université de Lyon, CNRS, INRA, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France article info abstract Article history: The ParaHox cluster is the evolutionary sister to the Hox cluster. Like the Hox cluster, the ParaHox cluster Received for publication 2 October 2008 displays spatial and temporal regulation of the component genes along the anterior/posterior axis in a Revised 19 November 2008 manner that correlates with the gene positions within the cluster (a feature called collinearity). The ParaHox Accepted 19 November 2008 cluster is however a simpler system to study because it is composed of only three genes. We provide a Available online 7 December 2008 detailed analysis of the amphioxus ParaHox cluster and, for the first time in a single species, examine the regulation of the cluster in response to a single developmental signalling molecule, retinoic acid (RA). Keywords: Amphioxus Embryos treated with either RA or RA antagonist display altered ParaHox gene expression: AmphiGsx Retinoic acid expression shifts in the neural tube, and the endodermal boundary between AmphiXlox and AmphiCdx shifts Gsx its anterior/posterior position. -
TF Activation Profiling Plate Array II Signosis, Inc
Signosis, Inc. Innovative Plate Assay Solutions TF Activation Profiling Plate Array II Catalog Number: FA-1002 (For Research Use Only) Introduction Materials Provided with the Kit Transcription factors (TFs) are a group of cellular proteins that play essential roles in regulating gene Component Qty Store at expression. They act as sensors to monitor cellular 96-Well Plates (with 2 RT changes and convert signals into gene expression. aluminum adhesive seal) Often, a specific cellular signal pathway can activate Isolation Columns 2 RT multiple TFs. The expression of a specific gene can Elution Buffer 400µL RT also be under the control of multiple TFs. Thus, TF Plate Hybridization Buffer 20mL RT monitoring the activation of multiple TFs 5X Plate Hybridization Wash 60mL RT simultaneously is critical to understanding the Buffer molecular mechanism of cellular regulation underlying 5X Detection Wash Buffer 60mL RT cell signaling and gene expression. Signosis, Inc.’s TF Blocking Buffer 60mL RT Activation Profiling Plate Array II is used for Filter Wash Buffer 5mL 4°C monitoring 96 different TFs simultaneously from one Filter Binding Buffer 1mL 4°C sample. Substrate A 2mL 4°C Substrate B 2mL 4°C Principle of the assay Streptavidin-HRP Conjugate 40µL 4°C Substrate Dilution Buffer 16mL 4°C Signosis, Inc.’s TF Activation Profiling Plate Array II TF Binding Buffer Mix 60µL -20°C is used for monitoring the activation of multiple TFs TF Probe Mix II 20µL -20°C simultaneously. With this technology a series of biotin-labeled probes are made based on the consensus sequences of TF DNA-binding sites.