Reverse Engineering of Modified Genes by Bayesian Network Analysis Defines Olecm Ular Determinants Critical to the Development of Glioblastoma Brian W
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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. -
Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Progesterone Receptor Membrane Component 1 Promotes Survival of Human Breast Cancer Cells and the Growth of Xenograft Tumors
Cancer Biology & Therapy ISSN: 1538-4047 (Print) 1555-8576 (Online) Journal homepage: http://www.tandfonline.com/loi/kcbt20 Progesterone receptor membrane component 1 promotes survival of human breast cancer cells and the growth of xenograft tumors Nicole C. Clark, Anne M. Friel, Cindy A. Pru, Ling Zhang, Toshi Shioda, Bo R. Rueda, John J. Peluso & James K. Pru To cite this article: Nicole C. Clark, Anne M. Friel, Cindy A. Pru, Ling Zhang, Toshi Shioda, Bo R. Rueda, John J. Peluso & James K. Pru (2016) Progesterone receptor membrane component 1 promotes survival of human breast cancer cells and the growth of xenograft tumors, Cancer Biology & Therapy, 17:3, 262-271, DOI: 10.1080/15384047.2016.1139240 To link to this article: http://dx.doi.org/10.1080/15384047.2016.1139240 Accepted author version posted online: 19 Jan 2016. Published online: 19 Jan 2016. Submit your article to this journal Article views: 49 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=kcbt20 Download by: [University of Connecticut] Date: 26 May 2016, At: 11:28 CANCER BIOLOGY & THERAPY 2016, VOL. 17, NO. 3, 262–271 http://dx.doi.org/10.1080/15384047.2016.1139240 RESEARCH PAPER Progesterone receptor membrane component 1 promotes survival of human breast cancer cells and the growth of xenograft tumors Nicole C. Clarka,*, Anne M. Frielb,*, Cindy A. Prua, Ling Zhangb, Toshi Shiodac, Bo R. Ruedab, John J. Pelusod, and James K. Prua aDepartment of Animal Sciences, -
Nuclear Organization and the Epigenetic Landscape of the Mus Musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected]
University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 8-9-2019 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Liu, Alicia, "Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome" (2019). Doctoral Dissertations. 2273. https://opencommons.uconn.edu/dissertations/2273 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia J. Liu, Ph.D. University of Connecticut, 2019 ABSTRACT X-linked imprinted genes have been hypothesized to contribute parent-of-origin influences on social cognition. A cluster of imprinted genes Xlr3b, Xlr4b, and Xlr4c, implicated in cognitive defects, are maternally expressed and paternally silent in the murine brain. These genes defy classic mechanisms of autosomal imprinting, suggesting a novel method of imprinted gene regulation. Using Xlr3b and Xlr4c as bait, this study uses 4C-Seq on neonatal whole brain of a 39,XO mouse model, to provide the first in-depth analysis of chromatin dynamics surrounding an imprinted locus on the X-chromosome. Significant differences in long-range contacts exist be- tween XM and XP monosomic samples. In addition, XM interaction profiles contact a greater number of genes linked to cognitive impairment, abnormality of the nervous system, and abnormality of higher mental function. This is not a pattern that is unique to the imprinted Xlr3/4 locus. Additional Alicia J. Liu - University of Connecticut - 2019 4C-Seq experiments show that other genes on the X-chromosome, implicated in intellectual disability and/or ASD, also produce more maternal contacts to other X-linked genes linked to cognitive impairment. -
RCAN2 Isoform 2 Recombinant Protein Cat
RCAN2 Isoform 2 Recombinant Protein Cat. No.: 95-114 RCAN2 Isoform 2 Recombinant Protein Specifications SPECIES: Mouse SOURCE SPECIES: E. coli SEQUENCE: aa 2 - 197 FUSION TAG: Fusion Partner: C-terminal His-tag TESTED APPLICATIONS: ELISA, WB APPLICATIONS: This recombinant protein can be used for WB and ELISA. For research use only. PREDICTED MOLECULAR 26 kDa (Calculated) WEIGHT: Properties PURITY: ~95% PHYSICAL STATE: Liquid 100mM sodium phosphate, 10mM Tris, 500mM NaCl, 25 mM imidazole, 2mM MgCl2, 10% BUFFER: gycerol Store in working aliquots at -70˚C. Avoid freeze/thaw cycles. When working with proteins STORAGE CONDITIONS: care should be taken to keep recombinant protein at a cool and stable temperature. September 29, 2021 1 https://www.prosci-inc.com/rcan2-isoform-2-recombinant-protein-95-114.html Additional Info OFFICIAL SYMBOL: Rcan2 RCAN2 Antibody: Csp2, MCIP2, ZAKI-4, Dscr1l1, Zaki4, Calcipressin-2, Calcineurin inhibitory ALTERNATE NAMES: protein ZAKI-4 ACCESSION NO.: AAH62141 PROTEIN GI NO.: 38328420 GENE ID: 53901 Background and References Regulator of calcineurin 2 (RCAN2), also known as ZAKI4 and DSCR1L1, is expressed as two isoforms differing at their N-terminus. The longer of the two (isoform 1) is expressed exclusively in the brain, while isoform 2 is ubiquitously expressed, with highest expression in brain, heart, and muscle (1,2). Both isoforms bind to the catalytic subunit of calcineurin, a Ca++-dependent protein phosphatase involved in several neuronal functions, though BACKGROUND: their C-terminal region and inhibit calcineurin’s activity (3). Unlike isoform 1 of RCAN2, the expression of the second isoform is not induced by the thyroid hormone T3 (3). -
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. -
Microgenomics of Ameloblastoma
RESEARCH REPORTS Biological P. DeVilliers1, C. Suggs2, D. Simmons2, V. Murrah3, and J.T. Wright2* Microgenomics of 1Department of Pathology, University of Alabama at Ameloblastoma Birmingham; 2Department of Pediatric Dentistry, CB #7450, and 3Department of Oral Pathology, University of North Carolina at Chapel Hill, NC 27599, USA; *corresponding author, [email protected] J Dent Res 90(4):463-469, 2011 ABSTRACT INTRODUCTION Gene expression profiles of human ameloblastoma microdissected cells were characterized with the meloblastoma is an aggressive tumor of odontogenic epithelial origin, purpose of identifying genes and their protein Awith devastating morbidity if left untreated, due to its unlimited growth products that could be targeted as diagnostic and potential. It is characterized by a high rate of recurrence (up to 70%, depend- prognostic markers as well as for potential thera- ing on the treatment modality) and potential to undergo malignant transfor- peutic interventions. Five formalin-fixed, decalci- mation and to metastasize (up to 2% of cases). Malignant ameloblastoma is fied, paraffin-embedded samples of ameloblastoma defined as a histologically benign-appearing ameloblastoma with metastasis were subjected to laser capture microdissection, (Goldenberg et al., 2004; Cardoso et al., 2009). Surgical resection is the treat- linear mRNA amplification, and hybridization to ment of choice, which can cause further morbidity to the craniofacial com- oligonucleotide human 41,000 RNA arrays and plex, with loss of function and esthetics (Olasoji and Enwere, 2003). compared with universal human reference RNA, Gene expression profiling of tumor cell populations has advanced our to determine the gene expression signature. understanding of the pathogenesis of human tumors (Naderi et al., 2004). -
Multi-Targeted Mechanisms Underlying the Endothelial Protective Effects of the Diabetic-Safe Sweetener Erythritol
Multi-Targeted Mechanisms Underlying the Endothelial Protective Effects of the Diabetic-Safe Sweetener Erythritol Danie¨lle M. P. H. J. Boesten1*., Alvin Berger2.¤, Peter de Cock3, Hua Dong4, Bruce D. Hammock4, Gertjan J. M. den Hartog1, Aalt Bast1 1 Department of Toxicology, Maastricht University, Maastricht, The Netherlands, 2 Global Food Research, Cargill, Wayzata, Minnesota, United States of America, 3 Cargill RandD Center Europe, Vilvoorde, Belgium, 4 Department of Entomology and UCD Comprehensive Cancer Center, University of California Davis, Davis, California, United States of America Abstract Diabetes is characterized by hyperglycemia and development of vascular pathology. Endothelial cell dysfunction is a starting point for pathogenesis of vascular complications in diabetes. We previously showed the polyol erythritol to be a hydroxyl radical scavenger preventing endothelial cell dysfunction onset in diabetic rats. To unravel mechanisms, other than scavenging of radicals, by which erythritol mediates this protective effect, we evaluated effects of erythritol in endothelial cells exposed to normal (7 mM) and high glucose (30 mM) or diabetic stressors (e.g. SIN-1) using targeted and transcriptomic approaches. This study demonstrates that erythritol (i.e. under non-diabetic conditions) has minimal effects on endothelial cells. However, under hyperglycemic conditions erythritol protected endothelial cells against cell death induced by diabetic stressors (i.e. high glucose and peroxynitrite). Also a number of harmful effects caused by high glucose, e.g. increased nitric oxide release, are reversed. Additionally, total transcriptome analysis indicated that biological processes which are differentially regulated due to high glucose are corrected by erythritol. We conclude that erythritol protects endothelial cells during high glucose conditions via effects on multiple targets. -
Genome-Wide Rnai Screening Identifies Human Proteins with A
RESOURCES Genome-wide RNAi screening identifies human proteins with a regulatory function in the early secretory pathway Jeremy C. Simpson1,7, Brigitte Joggerst2, Vibor Laketa2, Fatima Verissimo2, Cihan Cetin2, Holger Erfle2,6, Mariana G. Bexiga1, Vasanth R. Singan1, Jean-Karim Hériché3, Beate Neumann3, Alvaro Mateos2, Jonathon Blake4, Stephanie Bechtel5, Vladimir Benes4, Stefan Wiemann5, Jan Ellenberg2,3 and Rainer Pepperkok2,7 The secretory pathway in mammalian cells has evolved to facilitate the transfer of cargo molecules to internal and cell surface membranes. Use of automated microscopy-based genome-wide RNA interference screens in cultured human cells allowed us to identify 554 proteins influencing secretion. Cloning, fluorescent-tagging and subcellular localization analysis of 179 of these proteins revealed that more than two-thirds localize to either the cytoplasm or membranes of the secretory and endocytic pathways. The depletion of 143 of them resulted in perturbations in the organization of the COPII and/or COPI vesicular coat complexes of the early secretory pathway, or the morphology of the Golgi complex. Network analyses revealed a so far unappreciated link between early secretory pathway function, small GTP-binding protein regulation, actin cytoskeleton organization and EGF-receptor-mediated signalling. This work provides an important resource for an integrative understanding of global cellular organization and regulation of the secretory pathway in mammalian cells. Within higher eukaryotic cells membrane traffic pathways connect the Extensive efforts over many years have revealed a significant number various membrane-bounded organelles, thereby ensuring that they of regulators associated with the secretory pathway. Early biochemical retain the correct complement of proteins and lipids to maintain approaches to identify individual machinery components have started cellular homeostasis. -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
Expression of Progesterone Receptor Membrane Component 1, Serpine Mrna Binding Protein 1 and Nuclear Progesterone Receptor Isoforms a and B in the Bovine Myometrium During The
Journal of Reproduction and Development, Vol. 58, No 3, 2012 —Original Article— Expression of Progesterone Receptor Membrane Component 1, Serpine mRNA Binding Protein 1 and Nuclear Progesterone Receptor Isoforms A and B in the Bovine Myometrium During the Estrous Cycle and Early Pregnancy Dominika SLOnina1), Magdalena K. KOWALik1) and Jan KOTWica1) 1)Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, 10-747 Olsztyn, Poland Abstract. The aim of this study was to investigate the (1) expression of progesterone membrane component 1 (PGRMC1), serpine mRNA binding protein 1 (SERBP1) and progesterone receptor (PR) mRNA and (2) protein expression levels of PGRMC1, SERBP1 and PR isoforms A and B in the bovine myometrium during the estrous cycle and early pregnancy. Uteri from cows on days 1–5, 6–10, 11–16 and 17–21 of the estrous cycle and weeks 3–5, 6–8 and 9–12 of pregnancy were used (n=5–6 per period). There were no changes (P>0.05) in PGRMC1 mRNA expression during the estrous cycle, while expression of SERBP1 and PR mRNA was the lowest (P<0.05) on days 11–16 relative to other days of the cycle. The highest mRNA expression of PGRMC1, SERBP1 and PR was found during pregnancy. There were no changes (P>0.05) in SERBP1 protein expression in cycling and pregnant cows, while the highest (P<0.05) PGRMC1 protein expression was found during weeks 3–5 of pregnancy. Similar protein expression profiles for PRA and PRB were found, and protein levels were highest on days 1–5 of the estrous cycle. -
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,