Genomic and Molecular Screenings Identify Different Mechanisms For
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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. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
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. -
RNA Editing at Baseline and Following Endoplasmic Reticulum Stress
RNA Editing at Baseline and Following Endoplasmic Reticulum Stress By Allison Leigh Richards A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Human Genetics) in The University of Michigan 2015 Doctoral Committee: Professor Vivian G. Cheung, Chair Assistant Professor Santhi K. Ganesh Professor David Ginsburg Professor Daniel J. Klionsky Dedication To my father, mother, and Matt without whom I would never have made it ii Acknowledgements Thank you first and foremost to my dissertation mentor, Dr. Vivian Cheung. I have learned so much from you over the past several years including presentation skills such as never sighing and never saying “as you can see…” You have taught me how to think outside the box and how to create and explain my story to others. I would not be where I am today without your help and guidance. Thank you to the members of my dissertation committee (Drs. Santhi Ganesh, David Ginsburg and Daniel Klionsky) for all of your advice and support. I would also like to thank the entire Human Genetics Program, and especially JoAnn Sekiguchi and Karen Grahl, for welcoming me to the University of Michigan and making my transition so much easier. Thank you to Michael Boehnke and the Genome Science Training Program for supporting my work. A very special thank you to all of the members of the Cheung lab, past and present. Thank you to Xiaorong Wang for all of your help from the bench to advice on my career. Thank you to Zhengwei Zhu who has helped me immensely throughout my thesis even through my panic. -
Identification of Novel Kirrel3 Gene Splice Variants in Adult Human
Durcan et al. BMC Physiology 2014, 14:11 http://www.biomedcentral.com/1472-6793/14/11 RESEARCH ARTICLE Open Access Identification of novel Kirrel3 gene splice variants in adult human skeletal muscle Peter Joseph Durcan1, Johannes D Conradie1, Mari Van deVyver2 and Kathryn Helen Myburgh1* Abstract Background: Multiple cell types including trophoblasts, osteoclasts and myoblasts require somatic cell fusion events as part of their physiological functions. In Drosophila Melanogaster the paralogus type 1 transmembrane receptors and members of the immunoglobulin superfamily Kin of Irre (Kirre) and roughest (Rst) regulate myoblast fusion during embryonic development. Present within the human genome are three homologs to Kirre termed Kin of Irre like (Kirrel) 1, 2 and 3. Currently it is unknown if Kirrel3 is expressed in adult human skeletal muscle. Results: We investigated (using PCR and Western blot) Kirrel3 in adult human skeletal muscle samples taken at rest and after mild exercise induced muscle damage. Kirrel3 mRNA expression was verified by sequencing and protein presence via blotting with 2 different anti-Kirrel3 protein antibodies. Evidence for three alternatively spliced Kirrel3 mRNA transcripts in adult human skeletal muscle was obtained. Kirrel3 mRNA in adult human skeletal muscle was detected at low or moderate levels, or not at all. This sporadic expression suggests that Kirrel3 is expressed in a pulsatile manner. Several anti Kirrel3 immunoreactive proteins were detected in all adult human skeletal muscle samples analysed and results suggest the presence of different isoforms or posttranslational modification, or both. Conclusion: The results presented here demonstrate for the first time that there are at least 3 splice variants of Kirrel3 expressed in adult human skeletal muscle, two of which have never previously been identified in human muscle. -
KIRREL Is Differentially Expressed in Adipose Tissue From
KIRREL is differentially expressed in adipose tissue from “fertil+” and “fertil-” cows: in vitro role in ovary? Stéphanie Coyral-Castel, Christelle Ramé, Juliette Cognie, Jerôme Lecardonnel, Sylvain Marthey, Diane Esquerré, Christelle Hennequet-Antier, Sébastien Elis, Sébastien Fritz, Mekki Boussaha, et al. To cite this version: Stéphanie Coyral-Castel, Christelle Ramé, Juliette Cognie, Jerôme Lecardonnel, Sylvain Marthey, et al.. KIRREL is differentially expressed in adipose tissue from “fertil+” and “fertil-” cows: invitro role in ovary?. Reproduction -Cambridge- Supplement-, Society for Reproduction and Fertility, 2018, 155 (2), pp.181-196. 10.1530/REP-17-0649. hal-02625059 HAL Id: hal-02625059 https://hal.inrae.fr/hal-02625059 Submitted on 26 May 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Copyright Page 1 of 49Reproduction Advance Publication first posted on 23 November 2017 as Manuscript REP-17-0649 1 KIRREL is differentially expressed in adipose tissue from “fertil+” and “fertil-” cows: 2 in vitro role in ovary? 3 4 S Coyral-Castel1,2,3,4,5, -
The Genomics of Oral Poliovirus Vaccine
THE GENOMICS OF ORAL POLIOVIRUS VACCINE RESPONSE IN BANGLADESHI INFANTS by Genevieve L. Wojcik, MHS A dissertation submitted to the Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland, USA October 2013 © Genevieve L. Wojcik All Rights Reserved Abstract The success of Oral Poliovirus Vaccine (OPV) in eradicating poliovirus has set an example for the immense potential of oral vaccines in preventing enteric infections. It is widely considered the standard for oral vaccines aiming to elicit a mucosal immune response. Despite being validated in diverse populations worldwide, there still remain some individuals that fail to mount an adequate response to vaccination with OPV. It has been hypothesized that this may be due to host genetics, as the heritability is estimated to be high (60%) and there have been ethnic differences in response. To address this question we conducted a genome-wide association study (GWAS) in 357 Bangladeshi children comparing individuals that fail to mount an immune response to high responders of OPV. Four different approaches were conducted to elucidate genetic risk loci: (1) a traditional GWAS analysis, (2) a correlation of the GWAS results with signatures of positive selection, (3) an application of gene-level methods to the GWAS results, and (4) an application of pathway-level methods to the GWAS results. Because there is no consensus as to the best gene- and pathway-level methods, a simulation experiment was conducted to systematically evaluate their relative performance. The traditional GWAS assessed the association of 6.6 million single nucleotide polymorphisms (SNPs) across the human genome, adjusted for stunting (height-for-age Z-score (HAZ) < -2). -
Original Article a Database and Functional Annotation of NF-Κb Target Genes
Int J Clin Exp Med 2016;9(5):7986-7995 www.ijcem.com /ISSN:1940-5901/IJCEM0019172 Original Article A database and functional annotation of NF-κB target genes Yang Yang, Jian Wu, Jinke Wang The State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, People’s Republic of China Received November 4, 2015; Accepted February 10, 2016; Epub May 15, 2016; Published May 30, 2016 Abstract: Backgrounds: The previous studies show that the transcription factor NF-κB always be induced by many inducers, and can regulate the expressions of many genes. The aim of the present study is to explore the database and functional annotation of NF-κB target genes. Methods: In this study, we manually collected the most complete listing of all NF-κB target genes identified to date, including the NF-κB microRNA target genes and built the database of NF-κB target genes with the detailed information of each target gene and annotated it by DAVID tools. Results: The NF-κB target genes database was established (http://tfdb.seu.edu.cn/nfkb/). The collected data confirmed that NF-κB maintains multitudinous biological functions and possesses the considerable complexity and diversity in regulation the expression of corresponding target genes set. The data showed that the NF-κB was a central regula- tor of the stress response, immune response and cellular metabolic processes. NF-κB involved in bone disease, immunological disease and cardiovascular disease, various cancers and nervous disease. NF-κB can modulate the expression activity of other transcriptional factors. Inhibition of IKK and IκBα phosphorylation, the decrease of nuclear translocation of p65 and the reduction of intracellular glutathione level determined the up-regulation or down-regulation of expression of NF-κB target genes. -
Family of Neural Wiring Receptors in Bilaterians Defined by Phylogenetic, Biochemical, and Structural Evidence
Family of neural wiring receptors in bilaterians defined by phylogenetic, biochemical, and structural evidence Shouqiang Chenga,1, Yeonwoo Parkb,1, Justyna D. Kurletoa,c,1, Mili Jeond, Kai Zinnd, Joseph W. Thorntonb,e,f, and Engin Özkana,2 aDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637; bCommittee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, IL 60637; cFaculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, 30-387 Krakow, Poland; dDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125; eDepartment of Human Genetics, The University of Chicago, Chicago, IL 60637; and fDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637 Edited by Rachelle Gaudet, Harvard University, Cambridge, MA, and accepted by Editorial Board Member Jeremy Nathans April 8, 2019 (received for review November 5, 2018) The evolution of complex nervous systems was accompanied by the Most of the Dprs and DIPs that have been studied thus far are expansion of numerous protein families, including cell-adhesion expressed exclusively in the nervous system. In the pupal optic molecules, surface receptors, and their ligands. These proteins lobe, the larval ventral nerve cord, olfactory receptor neurons, and mediate axonal guidance, synapse targeting, and other neuronal the neuromuscular system, each Dpr and DIP is expressed in a wiring-related functions. Recently, 32 interacting cell surface pro- unique subset of neurons (5, 7–9). One Dpr is also expressed in teins belonging to two newly defined families of the Ig superfamily postsynaptic muscle cells (10). In the optic lobe, Dprs and DIPs (IgSF) in fruit flies were discovered to label different subsets of are expressed in distinctive combinations in different neuronal neurons in the brain and ventral nerve cord. -
Human KIRREL / NEPH1 / KIRREL1 Protein (Fc Tag)
Human KIRREL / NEPH1 / KIRREL1 Protein (Fc Tag) Catalog Number: 15752-H02H General Information SDS-PAGE: Gene Name Synonym: NEPH1 Protein Construction: A DNA sequence encoding the human KIRREL (NP_060710.3) (Met1-Leu493) was expressed with the Fc region of human IgG1 at the C-terminus. Source: Human Expression Host: HEK293 Cells QC Testing Purity: > 95 % as determined by SDS-PAGE Endotoxin: Protein Description < 1.0 EU per μg of the protein as determined by the LAL method NEPH1 (KIRREL1) belongs to a family of three closely related Stability: transmembrane proteins of the Ig superfamily with a structure similar to that of nephrin. All three Neph proteins share a conserved podocin-binding ℃ Samples are stable for up to twelve months from date of receipt at -70 motif; mutation of a centrally located tyrosine residue dramatically lowers the affinity of Neph1 for podocin. Neph1 triggers AP-1 activation similarly to Gln 17 Predicted N terminal: nephrin but requires the presence of Tec family kinases for efficient Molecular Mass: transactivation. Neph1 consists of a signal peptide, five Ig-like C2-type domains with the middle domain overlapping with a PKD-like domain, an The recombinant human KIRREL/Fc comprises 715 amino acids and has a RGD sequence, a transmembrane domain and a cytoplasmic tail, which is predicted molecular mass of 78.8 kDa. The apparent molecular mass of the expressed in slit diaphragm domains of podocytes and in vertebrate and protein is approximately 96.1 kDa in SDS-PAGE under reducing conditions. invertebrate nervous systems. Neph1 is abundantly expressed in the kidney, specifically expressed in podocytes of kidney glomeruli, and plays a Formulation: significant role in the normal development and function of the glomerular permeability. -
Bioinformatics Tools for the Analysis of Gene-Phenotype Relationships Coupled with a Next Generation Chip-Sequencing Data Processing Pipeline
Bioinformatics Tools for the Analysis of Gene-Phenotype Relationships Coupled with a Next Generation ChIP-Sequencing Data Processing Pipeline Erinija Pranckeviciene Thesis submitted to the Faculty of Graduate and Postdoctoral Studies in partial fulfillment of the requirements for the Doctorate in Philosophy degree in Cellular and Molecular Medicine Department of Cellular and Molecular Medicine Faculty of Medicine University of Ottawa c Erinija Pranckeviciene, Ottawa, Canada, 2015 Abstract The rapidly advancing high-throughput and next generation sequencing technologies facilitate deeper insights into the molecular mechanisms underlying the expression of phenotypes in living organisms. Experimental data and scientific publications following this technological advance- ment have rapidly accumulated in public databases. Meaningful analysis of currently avail- able data in genomic databases requires sophisticated computational tools and algorithms, and presents considerable challenges to molecular biologists without specialized training in bioinfor- matics. To study their phenotype of interest molecular biologists must prioritize large lists of poorly characterized genes generated in high-throughput experiments. To date, prioritization tools have primarily been designed to work with phenotypes of human diseases as defined by the genes known to be associated with those diseases. There is therefore a need for more prioritiza- tion tools for phenotypes which are not related with diseases generally or diseases with which no genes have yet been associated in particular. Chromatin immunoprecipitation followed by next generation sequencing (ChIP-Seq) is a method of choice to study the gene regulation processes responsible for the expression of cellular phenotypes. Among publicly available computational pipelines for the processing of ChIP-Seq data, there is a lack of tools for the downstream analysis of composite motifs and preferred binding distances of the DNA binding proteins. -
NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer
Florida International University FIU Digital Commons FIU Electronic Theses and Dissertations University Graduate School 11-7-2018 Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer Jairo Ramos [email protected] Follow this and additional works at: https://digitalcommons.fiu.edu/etd Part of the Clinical Epidemiology Commons Recommended Citation Ramos, Jairo, "Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer" (2018). FIU Electronic Theses and Dissertations. 3872. https://digitalcommons.fiu.edu/etd/3872 This work is brought to you for free and open access by the University Graduate School at FIU Digital Commons. It has been accepted for inclusion in FIU Electronic Theses and Dissertations by an authorized administrator of FIU Digital Commons. For more information, please contact [email protected]. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida DECIPHER MECHANISMS BY WHICH NUCLEAR RESPIRATORY FACTOR ONE (NRF1) COORDINATES CHANGES IN THE TRANSCRIPTIONAL AND CHROMATIN LANDSCAPE AFFECTING DEVELOPMENT AND PROGRESSION OF INVASIVE BREAST CANCER A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in PUBLIC HEALTH by Jairo Ramos 2018 To: Dean Tomás R. Guilarte Robert Stempel College of Public Health and Social Work This dissertation, Written by Jairo Ramos, and entitled Decipher Mechanisms by Which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer, having been approved in respect to style and intellectual content, is referred to you for judgment.