Cognition and Hippocampal Plasticity in the Mouse Is Altered by Monosomy of a Genomic Region Implicated in Down Syndrome
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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Divergence of the Genes on Human Chromosome 21 Between Human and Other Hominoids and Variation of Substitution Rates Among Transcription Units
Divergence of the genes on human chromosome 21 between human and other hominoids and variation of substitution rates among transcription units Jinxiu Shi*†‡, Huifeng Xi*‡§, Ying Wang*, Chenghui Zhang*, Zhengwen Jiang§¶, Kuixing Zhang*, Yayun Shen*, Lin Jin*, Kaiyue Zhang*, Wentao Yuan*, Ying Wang*, Jie Lin*, Qi Hua*, Fengqing Wang*, Shuhua Xu*, Suangxi Ren*, Shijie Xu*†, Guoping Zhao*, Zhu Chen*†§, Li Jin*§¶ʈ, and Wei Huang*†ʈ *Chinese National Human Genome Center at Shanghai, 250 Bi Bo Road, Shanghai 201203, People’s Republic of China; †Health Science Center, Shanghai Second Medical University and Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 225 Chongqing Nan Road, Shanghai 200025, People’s Republic of China; §Morgan-Tan International Center for Life Science and Center for Anthropological Sciences, School of Biological Sciences, Fudan University, 220 Han Dan Road, Shanghai 200433, People’s Republic of China; and ¶Center for Genome Information, Department of Environmental Health, University of Cincinnati College of Medicine, P.O. Box 670056, Cincinnati, OH 45267-0056 Communicated by Jiazhen Tan, Fudan University, Shanghai, People’s Republic of China, May 5, 2003 (received for review December 16, 2002) The study of genomic divergence between humans and primates of human beings and a pool of 20 chimpanzee samples, which may provide insight into the origins of human beings and the allows a direct comparison of the genomes of these two species. genetic basis of unique human traits and diseases. Chromosome 21 As outgroups, partial sequences of those genes were also deter- is the smallest chromosome in the human genome, and some of its mined for a gorilla, an orangutan, and a macaque. -
Coordinate Regulation of Long Non-Coding Rnas and Protein-Coding Genes in Germ- Free Mice Joseph Dempsey, Angela Zhang and Julia Yue Cui*
Dempsey et al. BMC Genomics (2018) 19:834 https://doi.org/10.1186/s12864-018-5235-3 RESEARCHARTICLE Open Access Coordinate regulation of long non-coding RNAs and protein-coding genes in germ- free mice Joseph Dempsey, Angela Zhang and Julia Yue Cui* Abstract Background: Long non-coding RNAs (lncRNAs) are increasingly recognized as regulators of tissue-specific cellular functions and have been shown to regulate transcriptional and translational processes, acting as signals, decoys, guides, and scaffolds. It has been suggested that some lncRNAs act in cis to regulate the expression of neighboring protein-coding genes (PCGs) in a mechanism that fine-tunes gene expression. Gut microbiome is increasingly recognized as a regulator of development, inflammation, host metabolic processes, and xenobiotic metabolism. However, there is little known regarding whether the gut microbiome modulates lncRNA gene expression in various host metabolic organs. The goals of this study were to 1) characterize the tissue-specific expression of lncRNAs and 2) identify and annotate lncRNAs differentially regulated in the absence of gut microbiome. Results: Total RNA was isolated from various tissues (liver, duodenum, jejunum, ileum, colon, brown adipose tissue, white adipose tissue, and skeletal muscle) from adult male conventional and germ-free mice (n = 3 per group). RNA-Seq was conducted and reads were mapped to the mouse reference genome (mm10) using HISAT. Transcript abundance and differential expression was determined with Cufflinks using the reference databases NONCODE 2016 for lncRNAs and UCSC mm10 for PCGs. Although the constitutive expression of lncRNAs was ubiquitous within the enterohepatic (liver and intestine) and the peripheral metabolic tissues (fat and muscle) in conventional mice, differential expression of lncRNAs by lack of gut microbiota was highly tissue specific. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
Identification and Evolutionary Analysis of Tissue-Specific Isoforms of Mitochondrial Complex I Subunit NDUFV3
ÔØ ÅÒÙ×Ö ÔØ Identification and evolutionary analysis of tissue-specific isoforms of mito- chondrial complex I subunit NDUFV3 Sergio Guerrero-Castillo, Alfredo Cabrera-Orefice, Martijn A. Huynen, Susanne Arnold PII: S0005-2728(16)30680-6 DOI: doi:10.1016/j.bbabio.2016.12.004 Reference: BBABIO 47759 To appear in: BBA - Bioenergetics Received date: 30 October 2016 Revised date: 22 November 2016 Accepted date: 13 December 2016 Please cite this article as: Sergio Guerrero-Castillo, Alfredo Cabrera-Orefice, Martijn A. Huynen, Susanne Arnold, Identification and evolutionary analysis of tissue-specific isoforms of mitochondrial complex I subunit NDUFV3, BBA - Bioenergetics (2016), doi:10.1016/j.bbabio.2016.12.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT Identification and evolutionary analysis of tissue-specific isoforms of mitochondrial complex I subunit NDUFV3 Sergio Guerrero-Castillo1, Alfredo Cabrera-Orefice1, Martijn A. Huynen1,2 , Susanne Arnold1 1 Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen, The Netherlands 2 Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands *Correspondence to: Susanne Arnold Radboud Center for Mitochondrial Medicine Radboud University Medical Center Geert Grooteplein-Zuid 10, Route 774 6525 GA Nijmegen, The Netherlands Telephone: +31ACCEPTED 24 36 19746 MANUSCRIPT E-Mail: [email protected] 1 ACCEPTED MANUSCRIPT Abstract Mitochondrial complex I is the largest respiratory chain complex. -
The Murine Orthologue of the Golgi-Localized TPTE Protein Provides Clues to the Evolutionary History of the Human TPTE Gene Family
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by RERO DOC Digital Library Hum Genet (2001) 109:569–575 DOI 10.1007/s004390100607 ORIGINAL INVESTIGATION Michel Guipponi · Caroline Tapparel · Olivier Jousson · Nathalie Scamuffa · Christophe Mas · Colette Rossier · Pierre Hutter · Paolo Meda · Robert Lyle · Alexandre Reymond · Stylianos E. Antonarakis The murine orthologue of the Golgi-localized TPTE protein provides clues to the evolutionary history of the human TPTE gene family Received: 5 June 2001 / Accepted: 17 August 2001 / Published online: 27 October 2001 © Springer-Verlag 2001 Abstract The human TPTE gene encodes a testis-spe- events. The Y chromosome copy of TPTE is a pseudo- cific protein that contains four potential transmembrane gene and is not therefore involved in the testis expression domains and a protein tyrosine phosphatase motif, and of this gene family. shows homology to the tumor suppressor PTEN/MMAC1. Chromosomal mapping revealed multiple copies of the TPTE gene present on the acrocentric chromosomes 13, Introduction 15, 21 and 22, and the Y chromosome. Zooblot analysis suggests that mice may possess only one copy of TPTE. We have recently identified a testis-specific cDNA, TPTE In the present study, we report the isolation and initial (Transmembrane Phosphatase with TEnsin homology), characterization of the full-length cDNA of the mouse ho- that encodes a predicted protein of 551 amino acids con- mologue Tpte. At least three different mRNA transcripts taining four potential transmembrane domains and a tyro- (Tpte.a, b, c) are produced via alternative splicing, encod- sine phosphatase motif (Chen H et al. -
1 Mutational Heterogeneity in Cancer Akash Kumar a Dissertation
Mutational Heterogeneity in Cancer Akash Kumar A dissertation Submitted in partial fulfillment of requirements for the degree of Doctor of Philosophy University of Washington 2014 June 5 Reading Committee: Jay Shendure Pete Nelson Mary Claire King Program Authorized to Offer Degree: Genome Sciences 1 University of Washington ABSTRACT Mutational Heterogeneity in Cancer Akash Kumar Chair of the Supervisory Committee: Associate Professor Jay Shendure Department of Genome Sciences Somatic mutation plays a key role in the formation and progression of cancer. Differences in mutation patterns likely explain much of the heterogeneity seen in prognosis and treatment response among patients. Recent advances in massively parallel sequencing have greatly expanded our capability to investigate somatic mutation. Genomic profiling of tumor biopsies could guide the administration of targeted therapeutics on the basis of the tumor’s collection of mutations. Central to the success of this approach is the general applicability of targeted therapies to a patient’s entire tumor burden. This requires a better understanding of the genomic heterogeneity present both within individual tumors (intratumoral) and amongst tumors from the same patient (intrapatient). My dissertation is broadly organized around investigating mutational heterogeneity in cancer. Three projects are discussed in detail: analysis of (1) interpatient and (2) intrapatient heterogeneity in men with disseminated prostate cancer, and (3) investigation of regional intratumoral heterogeneity in -
Computational Analyses of Small Molecules Activity from Phenotypic Screens
Computational analyses of small molecules activity from phenotypic screens Azedine Zoufir Hughes Hall This dissertation is submitted for the degree of Doctor of Philosophy July 2018 Declaration This thesis is submitted as the result of my own work and includes nothing which is the outcome of work done in collaboration except where specifically indicated in the text. It is not substantially the same as any that I have submitted, or, is being concurrently submitted for a degree or diploma or other qualification at the University of Cambridge or any other University or similar institution except as declared in the preface and specified in the text. I further state that no substantial part of my dissertation has already been submitted, or, is being concurrently submitted for any such degree, diploma or other qualification at the University of Cambridge or any other University or similar institution except as declared in the Preface and specified in the text. This dissertation does not exceed the word limit of 60,000 words. Azedine Zoufir July 2018 Summary Title: Computational analyses of small molecules activity from phenotypic screens Author: Azedine Zoufir Drug discovery is no longer relying on the one gene-one disease paradigm nor on target-based screening alone to discover new drugs. Phenotypic-based screening is regaining momentum to discover new compounds since those assays provide an environment closer to the physiological state of the disease and allow to better anticipate off-target effects and other factors that can limit the efficacy of the drugs. However, uncovering the mechanism of action of the compounds active in those assays relies on in vitro techniques that are expensive and time- consuming. -
Omics Knowledgebase for Mammalian Cellular Signaling Pathways
bioRxiv preprint doi: https://doi.org/10.1101/401729; this version posted August 27, 2018. 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. The Signaling Pathways Project: an integrated ‘omics knowledgebase for mammalian cellular signaling pathways Scott Ochsner, David Abraham*, Kirt Martin*, Wei Ding, Apollo McOwiti, Zichen Wang, Kaitlyn Andreano, Ross A. Hamilton, Yue Chen, Angelica Hamilton, Marin L. Gantner, Michael Dehart, Shijing Qu, Susan G. Hilsenbeck, Lauren B. Becnel, Dave Bridges, Avi Ma’ayan, Janice M. Huss, Fabio Stossi, Charles E. Foulds, Anastasia Kralli, Donald P. McDonnell and Neil J. McKenna Address Correspondence To: Neil J. McKenna Department of Molecular and Cellular Biology Baylor College of Medicine Houston, TX 77030 USA e: [email protected] t: 713-798-8568 *These authors contributed equally to this study 1 bioRxiv preprint doi: https://doi.org/10.1101/401729; this version posted August 27, 2018. 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. Summary Public transcriptomic and ChIP-Seq datasets have the potential to illuminate facets of transcriptional regulation by mammalian cellular signaling pathways not yet explored in the research literature. Unfortunately, a variety of obstacles prevent routine re-use of these datasets by bench biologists for hypothesis generation and data validation. Here, we designed a web knowledgebase, the Signaling Pathways Project (SPP), which incorporates stable community classifications of three major categories of cellular signaling pathway node (receptors, enzymes and transcription factors) and the bioactive small molecules (BSMs) known to modulate their functions. -
A Draft Map of the Human Proteome
ARTICLE doi:10.1038/nature13302 A draft map of the human proteome Min-Sik Kim1,2, Sneha M. Pinto3, Derese Getnet1,4, Raja Sekhar Nirujogi3, Srikanth S. Manda3, Raghothama Chaerkady1,2, Anil K. Madugundu3, Dhanashree S. Kelkar3, Ruth Isserlin5, Shobhit Jain5, Joji K. Thomas3, Babylakshmi Muthusamy3, Pamela Leal-Rojas1,6, Praveen Kumar3, Nandini A. Sahasrabuddhe3, Lavanya Balakrishnan3, Jayshree Advani3, Bijesh George3, Santosh Renuse3, Lakshmi Dhevi N. Selvan3, Arun H. Patil3, Vishalakshi Nanjappa3, Aneesha Radhakrishnan3, Samarjeet Prasad1, Tejaswini Subbannayya3, Rajesh Raju3, Manish Kumar3, Sreelakshmi K. Sreenivasamurthy3, Arivusudar Marimuthu3, Gajanan J. Sathe3, Sandip Chavan3, Keshava K. Datta3, Yashwanth Subbannayya3, Apeksha Sahu3, Soujanya D. Yelamanchi3, Savita Jayaram3, Pavithra Rajagopalan3, Jyoti Sharma3, Krishna R. Murthy3, Nazia Syed3, Renu Goel3, Aafaque A. Khan3, Sartaj Ahmad3, Gourav Dey3, Keshav Mudgal7, Aditi Chatterjee3, Tai-Chung Huang1, Jun Zhong1, Xinyan Wu1,2, Patrick G. Shaw1, Donald Freed1, Muhammad S. Zahari2, Kanchan K. Mukherjee8, Subramanian Shankar9, Anita Mahadevan10,11, Henry Lam12, Christopher J. Mitchell1, Susarla Krishna Shankar10,11, Parthasarathy Satishchandra13, John T. Schroeder14, Ravi Sirdeshmukh3, Anirban Maitra15,16, Steven D. Leach1,17, Charles G. Drake16,18, Marc K. Halushka15, T. S. Keshava Prasad3, Ralph H. Hruban15,16, Candace L. Kerr19{, Gary D. Bader5, Christine A. Iacobuzio-Donahue15,16,17, Harsha Gowda3 & Akhilesh Pandey1,2,3,4,15,16,20 The availability of human genome sequence has transformed biomedical research over the past decade. However, an equiv- alent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. -
From Gene Expression to the Clinic
UvA-DARE (Digital Academic Repository) Biomarker discovery for asthma phenotyping: From gene expression to the clinic Wagener, A.H. Publication date 2016 Document Version Final published version Link to publication Citation for published version (APA): Wagener, A. H. (2016). Biomarker discovery for asthma phenotyping: From gene expression to the clinic. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:02 Oct 2021 CHAPTER 4 Supporting Information File dsRNA-induced changes in gene expression pro les of primary nasal and bronchial epithelial cells from patients with asthma, rhinitis and controls methods Primary epithelial cell culture Epithelal cell cultures were done as previously described (1). Primary cells were obtained by first digesting the biopsies and brushes with collagenase 4 (Worthington Biochemi- cal Corp., Lakewood, NJ, USA) for 1 hour in Hanks’ balanced salt solution (Sigma-Aldrich, Zwijndrecht, The Netherlands). -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase.