Transcriptome Profile of the Human Placenta
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New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology
Cancer Research and Treatment 2003;35(4):304-313 New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology Yong-Wan Kim, Ph.D.1, Min-Je Suh, M.S.1, Jin-Sik Bae, M.S.1, Su Mi Bae, M.S.1, Joo Hee Yoon, M.D.2, Soo Young Hur, M.D.2, Jae Hoon Kim, M.D.2, Duck Young Ro, M.D.2, Joon Mo Lee, M.D.2, Sung Eun Namkoong, M.D.2, Chong Kook Kim, Ph.D.3 and Woong Shick Ahn, M.D.2 1Catholic Research Institutes of Medical Science, 2Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, Seoul; 3College of Pharmacy, Seoul National University, Seoul, Korea Purpose: This study utilized both mRNA differential significant genes of unknown function affected by the display and the Gene Ontology (GO) analysis to char- HPV-16-derived pathway. The GO analysis suggested that acterize the multiple interactions of a number of genes the cervical cancer cells underwent repression of the with gene expression profiles involved in the HPV-16- cancer-specific cell adhesive properties. Also, genes induced cervical carcinogenesis. belonging to DNA metabolism, such as DNA repair and Materials and Methods: mRNA differential displays, replication, were strongly down-regulated, whereas sig- with HPV-16 positive cervical cancer cell line (SiHa), and nificant increases were shown in the protein degradation normal human keratinocyte cell line (HaCaT) as a con- and synthesis. trol, were used. Each human gene has several biological Conclusion: The GO analysis can overcome the com- functions in the Gene Ontology; therefore, several func- plexity of the gene expression profile of the HPV-16- tions of each gene were chosen to establish a powerful associated pathway, identify several cancer-specific cel- cervical carcinogenesis pathway. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
PDF) Expression of Gene Models Or Non-Exonic Tars in the 10 Tissue Types
Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome Lei Li1., Xiangfeng Wang1,2,3., Rajkumar Sasidharan4., Viktor Stolc1,5, Wei Deng2,6, Hang He2,6, Jan Korbel4, Xuewei Chen7, Waraporn Tongprasit8, Pamela Ronald7, Runsheng Chen6, Mark Gerstein4, Xing Wang Deng1* 1 Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America, 2 National Institute of Biological Sciences, Zhongguancun Life Science Park, Beijing, China, 3 Peking-Yale Joint Research Center of Plant Molecular Genetics and Agrobiotechnology, College of Life Sciences, Peking University, Beijing, China, 4 Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, United States of America, 5 Genome Research Facility, NASA Ames Research Center, Moffett Field, California, United States of America, 6 Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 7 Department of Plant Pathology, University of California, Davis, California, United States of America, 8 Eloret Corporation, Sunnyvale, California, United States of America Genome tiling microarray studies have consistently documented rich transcriptional activity beyond the annotated genes. However, systematic characterization and transcriptional profiling of the putative novel transcripts on the genome scale are still lacking. We report here the identification of 25,352 and 27,744 transcriptionally active regions (TARs) not encoded by annotated exons in the rice (Oryza. sativa) subspecies japonica and indica, respectively. The non-exonic TARs account for approximately two thirds of the total TARs detected by tiling arrays and represent transcripts likely conserved between japonica and indica. Transcription of 21,018 (83%) japonica non-exonic TARs was verified through expression profiling in 10 tissue types using a re-array in which annotated genes and TARs were each represented by five independent probes. -
(12) United States Patent (10) Patent No.: US 9,452,182 B2 Muller Et Al
USOO9452182B2 (12) United States Patent (10) Patent No.: US 9,452,182 B2 Muller et al. (45) Date of Patent: Sep. 27, 2016 (54) COLLATERAL GENENACTIVATION (52) U.S. Cl. BOMARKERS AND TARGETS FOR CPC ..... - - - - - - A61 K3I/713 (2013.01); A61K 31/191 CANCER THERAPY (2013.01); A61K 31/198 (2013.01); A61 K 3 1/35 (2013.01); A61K 31/352 (2013.01); (71) Applicants: Board of Regents, The University of A6 IK3I/357 (2013.01); A61K 3 1/5685 Texas System, Austin, TX (US); (2013.01); A61 K3I/661 (2013.01); A61 K Dana-Farber Cancer Institute, Inc., 3 1/662 (2013.01); A61K 45/06 (2013.01); Boston, MA (US) CI2N 15/1137 (2013.01); C12O I/6886 (72) Inventors: Florian L. Muller, Houston, TX (US); (2013.01); G0IN 33/5038 (2013.01); G0IN Eliot Fletcher-Sananikone, Houston, 33/5743 (2013.01); G0IN 33/57407 (2013.01); TX (US); Simona Colla, Houston, TX A61 K 48/00 (2013.01); C12N 23 10/14 (US); Elisa Aquilanti, Boston, MA (2013.01); C12N 2310/531 (2013.01); C12N (US); Ronald DePinho, Houston, TX 2320/31 (2013.01); C12O 2600/106 (2013.01); (US) CI2O 2600/156 (2013.01); C12Y402/01001 (2013.01); C12Y402/01011 (2013.01); G0IN (73) Assignees: Board of Regents, The University of 2333/988 (2013.01); G0IN 2800/52 (2013.01) Texas System, Austin, TX (US); Dana-Farber Cancer Institute, Inc., (58) Field of Classification Search CPC ..... - - - - - - - - - - - - - - - - - - - - - - - - A61K 48/00; C12N 15/111 Boston, MA (US) See application file for complete search history. (*) Notice: Subject to any disclaimer, the term of this patent is extended or adjusted under 35 U.S.C. -
Data-Driven and Knowledge-Driven Computational Models of Angiogenesis in Application to Peripheral Arterial Disease
DATA-DRIVEN AND KNOWLEDGE-DRIVEN COMPUTATIONAL MODELS OF ANGIOGENESIS IN APPLICATION TO PERIPHERAL ARTERIAL DISEASE by Liang-Hui Chu A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March, 2015 © 2015 Liang-Hui Chu All Rights Reserved Abstract Angiogenesis, the formation of new blood vessels from pre-existing vessels, is involved in both physiological conditions (e.g. development, wound healing and exercise) and diseases (e.g. cancer, age-related macular degeneration, and ischemic diseases such as coronary artery disease and peripheral arterial disease). Peripheral arterial disease (PAD) affects approximately 8 to 12 million people in United States, especially those over the age of 50 and its prevalence is now comparable to that of coronary artery disease. To date, all clinical trials that includes stimulation of VEGF (vascular endothelial growth factor) and FGF (fibroblast growth factor) have failed. There is an unmet need to find novel genes and drug targets and predict potential therapeutics in PAD. We use the data-driven bioinformatic approach to identify angiogenesis-associated genes and predict new targets and repositioned drugs in PAD. We also formulate a mechanistic three- compartment model that includes the anti-angiogenic isoform VEGF165b. The thesis can serve as a framework for computational and experimental validations of novel drug targets and drugs in PAD. ii Acknowledgements I appreciate my advisor Dr. Aleksander S. Popel to guide my PhD studies for the five years at Johns Hopkins University. I also appreciate several professors on my thesis committee, Dr. Joel S. Bader, Dr. -
Computer Vision for Pattern Detection in Chromosome Contact Maps
ARTICLE https://doi.org/10.1038/s41467-020-19562-7 OPEN Computer vision for pattern detection in chromosome contact maps Cyril Matthey-Doret 1,2, Lyam Baudry 1,2,5, Axel Breuer3,5, Rémi Montagne1, Nadège Guiglielmoni 1, Vittore Scolari 1, Etienne Jean1, Arnaud Campeas3, Philippe Henri Chanut3, Edgar Oriol 3, Adrien Méot3, ✉ ✉ Laurent Politis3, Antoine Vigouroux4, Pierrick Moreau 1, Romain Koszul 1 & Axel Cournac 1 Chromosomes of all species studied so far display a variety of higher-order organisational 1234567890():,; features, such as self-interacting domains or loops. These structures, which are often associated to biological functions, form distinct, visible patterns on genome-wide contact maps generated by chromosome conformation capture approaches such as Hi-C. Here we present Chromosight, an algorithm inspired from computer vision that can detect patterns in contact maps. Chromosight has greater sensitivity than existing methods on synthetic simulated data, while being faster and applicable to any type of genomes, including bacteria, viruses, yeasts and mammals. Our method does not require any prior training dataset and works well with default parameters on data generated with various protocols. 1 Institut Pasteur, Unité Régulation Spatiale des Génomes, CNRS, UMR 3525, C3BI USR 3756, Paris, France. 2 Sorbonne Université, Collège Doctoral, F-75005 Paris, France. 3 ENGIE, Global Energy Management, Paris, France. 4 Institut Pasteur, Synthetic Biology Group, Paris, France. 5These authors contributed ✉ equally: Lyam Baudry, Axel Breuer. email: [email protected]; [email protected] NATURE COMMUNICATIONS | (2020) 11:5795 | https://doi.org/10.1038/s41467-020-19562-7 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19562-7 roximity ligation derivatives of the chromosome con- infection16. -
Transcriptome Landscape of the Human Placenta Jinsil Kim1†, Keyan Zhao2†, Peng Jiang2†, Zhi-Xiang Lu2, Jinkai Wang2, Jeffrey C Murray3,4,5* and Yi Xing2,6,7*
Kim et al. BMC Genomics 2012, 13:115 http://www.biomedcentral.com/1471-2164/13/115 RESEARCHARTICLE Open Access Transcriptome landscape of the human placenta Jinsil Kim1†, Keyan Zhao2†, Peng Jiang2†, Zhi-xiang Lu2, Jinkai Wang2, Jeffrey C Murray3,4,5* and Yi Xing2,6,7* Abstract Background: The placenta is a key component in understanding the physiological processes involved in pregnancy. Characterizing genes critical for placental function can serve as a basis for identifying mechanisms underlying both normal and pathologic pregnancies. Detailing the placental tissue transcriptome could provide a valuable resource for genomic studies related to placental disease. Results: We have conducted a deep RNA sequencing (RNA-Seq) study on three tissue components (amnion, chorion, and decidua) of 5 human placentas from normal term pregnancies. We compared the placental RNA-Seq data to that of 16 other human tissues and observed a wide spectrum of transcriptome differences both between placenta and other human tissues and between distinct compartments of the placenta. Exon-level analysis of the RNA-Seq data revealed a large number of exons with differential splicing activities between placenta and other tissues, and 79% (27 out of 34) of the events selected for RT-PCR test were validated. The master splicing regulator ESRP1 is expressed at a proportionately higher level in amnion compared to all other analyzed human tissues, and there is a significant enrichment of ESRP1-regulated exons with tissue-specific splicing activities in amnion. This suggests an important role of alternative splicing in regulating gene function and activity in specific placental compartments. Importantly, genes with differential expression or splicing in the placenta are significantly enriched for genes implicated in placental abnormalities and preterm birth. -
Tiling Microarray Analysis of Rice Chromosome 10 to Identify The
Open Access Research2005LietVolume al. 6, Issue 6, Article R52 Tiling microarray analysis of rice chromosome 10 to identify the comment transcriptome and relate its expression to chromosomal architecture Lei Li¤*, Xiangfeng Wang¤†‡§, Mian Xia¶, Viktor Stolc*¥, Ning Su*, Zhiyu Peng†, Songgang Li‡, Jun Wang§, Xiping Wang¶ and Xing Wang Deng* reviews Addresses: *Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA. †National Institute of Biological Sciences, Zhongguancun Life Science Park, Beijing 102206, China. ‡Peking-Yale Joint Research Center of Plant Molecular Genetics and Agrobiotechnology, College of Life Sciences, Peking University, Beijing 100871, China. §Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 101300, China. ¶National Center of Crop Design, China Bioway Biotech Group Co., LTD, Beijing 100085, China. ¥Genome Research Facility, NASA Ames Research Center, MS 239-11, Moffett Field, CA 94035, USA. ¤ These authors contributed equally to this work. reports Correspondence: Xing Wang Deng. E-mail: [email protected] Published: 27 May 2005 Received: 14 January 2005 Revised: 1 April 2005 Genome Biology 2005, 6:R52 (doi:10.1186/gb-2005-6-6-r52) Accepted: 25 April 2005 The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/6/R52 deposited research © 2005 Li et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Tiling<p>Aaround transcriptomemicroarray 75% of the analysis previously analysis of riceofunsupported chromosome chromosome predicted 10 10 of 2 ricegenes. -
DNA Methylation in Lung Tissues of Mouse Offspring Exposed in Utero to Polycyclic Aromatic Hydrocarbons
Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 5-2015 DNA Methylation in Lung Tissues of Mouse Offspring Exposed In utero to Polycyclic Aromatic Hydrocarbons Trevor J. Fish Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/etd Part of the Biochemistry Commons Recommended Citation Fish, Trevor J., "DNA Methylation in Lung Tissues of Mouse Offspring Exposed In utero to Polycyclic Aromatic Hydrocarbons" (2015). All Graduate Theses and Dissertations. 4578. https://digitalcommons.usu.edu/etd/4578 This Thesis is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Theses and Dissertations by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. DNA METHYLATION IN LUNG TISSUES OF MOUSE OFFSPRING EXPOSED IN UTERO TO POLYCYCLIC AROMATIC HYDROCARBONS by Trevor J Fish A thesis submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Toxicology Approved: Abby D. Benninghoff, Ph.D. Aaron L. Olsen, D.V.M., Ph.D. Major Professor Committee Member Roger A. Coulombe Jr., Ph.D. S. Clay Isom, Ph.D. Committee Member Committee Member Korry J. Hintze, Ph.D. Dirk K. Vanderwall, D.V.M., Ph.D. Committee Member ADVS Department Head Mark R. McLellan, Ph.D. Vice President for Research and Dean of the School of Graduate Studies UTAH STATE UNIVERSITY Logan, Utah 2015 ii Copyright © Trevor J Fish 2015 All Rights Reserved iii ABSTRACT DNA Methylation in Lung Tissues of Mouse Offspring Exposed In Utero to Polycyclic Aromatic Hydrocarbons by Trevor J Fish, Master of Science Utah State University, 2015 Major Professor: Dr. -
Annotation: Curation, Tools, Ontologies, Databases Genomics
Annotation: curation, tools, ontologies, databases Mike Cherry Genomics Lecture 7 Genetics 211 - Winter 2014 Database of the Past Staats, Joan. The Classified Bibliography of Inbred Strains of Mice. Science 119(3087): 295-296 (1954-02-26). !2 Staats, Joan. The Classified Bibliography of Inbred Strains of Mice. Science 119(3087): 295-296 (1954-02-26) What’s this guy talking about? "So you want to make a nnn, there are a couple of steps. You acquire data through partners. You do a bunch of engineering on that data to get it into the right format and conflate it with other sources of data, and then you do a bunch of operations, which is what this tool is about, to hand massage the data. And out the other end pops something that is higher quality than the sum of its parts." ! Michael Weiss-Malik, The Atlantic 9/2012 !3 Why curate publications? • Standardize vocabulary – fulltext is easy to use, but difficult to know the search was complete • Integrate results – why don’t publishers mandate submission of standardized data? • for decades crystallographic data & coordinates, and GenBank accession numbers have been required • GEO & SRA accessions should be but, are not enforced. !5 Manual Curation • Read published literature or use tools for analysis of results to make the best annotation • Identify the experimental methods used • Connect associated IDs from ontologies/ vocabularies, sequences their IDs, and connections to other databases (pathway, chemical, orthology, interactions, disease, expression, ... etc.) !6 Examples of Curated Databases • Protein Database, UniProtKB • Genome, model organism database • Chemical, CHEBI or PubChem • Human Genetic Disease, OMIM • Gene Function, Gene Ontology Consortium • Gene Models, GenCODE & UCSC • Sequence Variants, LSVD & HGMD • Personal Genomics, Ingenuity & OMICIA How would you curate this paper? Drosophila Hedgehog The gene hedgehog is referred to in FlyBase by the symbol Dmel\hh (CG4637, FBgn0004644). -
The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5
Georgia State University ScholarWorks @ Georgia State University Psychology Honors Theses Department of Psychology Spring 4-24-2018 The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5 Kimberly Diaz Perez Georgia State University Follow this and additional works at: https://scholarworks.gsu.edu/psych_hontheses Recommended Citation Diaz Perez, Kimberly, "The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5." Thesis, Georgia State University, 2018. https://scholarworks.gsu.edu/psych_hontheses/23 This Thesis is brought to you for free and open access by the Department of Psychology at ScholarWorks @ Georgia State University. It has been accepted for inclusion in Psychology Honors Theses by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. THE IDENTIFICATION OF GENES AND BRAIN PATTERNS IN THE QUANTITATIVE TRAIT LOCI OF CHROMOSOME 5 A Thesis Georgia State University 2018 by Kimberly Diaz Perez Committee: Dr. Jessica Ann Turner, Thesis Advisor ii Copyright by Kimberly Diaz Perez 2018 iii THE IDENTIFICATION OF GENES AND BRAIN PATTERNS IN THE QUANTITATIVE TRAIT LOCI OF CHROMOSOME 5 by Kimberly Diaz Perez Under the Direction of Jessica Ann Turner, PhD ABSTRACT In previous research, Gupta et al. (2015) analyzed gray matter density as well as volume reductions related to schizophrenia in the region of the insula and medial prefrontal cortex. Sprooten et al. (2015) then identified a set of quantitative trait loci (QTLs), which is a region of DNA associated with variability in these gray matter concentration patterns. The aim of this study is to examine the QTL they found in a region of chromosome 5.