Influence of the MUC1 Cell Surface Mucin on Gastric Mucosal Gene
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Aldrich FT-IR Collection Edition I Library
Aldrich FT-IR Collection Edition I Library Library Listing – 10,505 spectra This library is the original FT-IR spectral collection from Aldrich. It includes a wide variety of pure chemical compounds found in the Aldrich Handbook of Fine Chemicals. The Aldrich Collection of FT-IR Spectra Edition I library contains spectra of 10,505 pure compounds and is a subset of the Aldrich Collection of FT-IR Spectra Edition II library. All spectra were acquired by Sigma-Aldrich Co. and were processed by Thermo Fisher Scientific. Eight smaller Aldrich Material Specific Sub-Libraries are also available. Aldrich FT-IR Collection Edition I Index Compound Name Index Compound Name 3515 ((1R)-(ENDO,ANTI))-(+)-3- 928 (+)-LIMONENE OXIDE, 97%, BROMOCAMPHOR-8- SULFONIC MIXTURE OF CIS AND TRANS ACID, AMMONIUM SALT 209 (+)-LONGIFOLENE, 98+% 1708 ((1R)-ENDO)-(+)-3- 2283 (+)-MURAMIC ACID HYDRATE, BROMOCAMPHOR, 98% 98% 3516 ((1S)-(ENDO,ANTI))-(-)-3- 2966 (+)-N,N'- BROMOCAMPHOR-8- SULFONIC DIALLYLTARTARDIAMIDE, 99+% ACID, AMMONIUM SALT 2976 (+)-N-ACETYLMURAMIC ACID, 644 ((1S)-ENDO)-(-)-BORNEOL, 99% 97% 9587 (+)-11ALPHA-HYDROXY-17ALPHA- 965 (+)-NOE-LACTOL DIMER, 99+% METHYLTESTOSTERONE 5127 (+)-P-BROMOTETRAMISOLE 9590 (+)-11ALPHA- OXALATE, 99% HYDROXYPROGESTERONE, 95% 661 (+)-P-MENTH-1-EN-9-OL, 97%, 9588 (+)-17-METHYLTESTOSTERONE, MIXTURE OF ISOMERS 99% 730 (+)-PERSEITOL 8681 (+)-2'-DEOXYURIDINE, 99+% 7913 (+)-PILOCARPINE 7591 (+)-2,3-O-ISOPROPYLIDENE-2,3- HYDROCHLORIDE, 99% DIHYDROXY- 1,4- 5844 (+)-RUTIN HYDRATE, 95% BIS(DIPHENYLPHOSPHINO)BUT 9571 (+)-STIGMASTANOL -
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. -
Analyse Genetischer Stabilität in Den Nachkommen Bestrahlter Zellen Mittels Klassischer Chromosomenbänderung Und Verschiedener Hochdurchsatz-Techniken
Analyse genetischer Stabilität in den Nachkommen bestrahlter Zellen mittels klassischer Chromosomenbänderung und verschiedener Hochdurchsatz-Techniken Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Julius-Maximilians-Universität Würzburg vorgelegt von Julia Flunkert geboren in Schwerte Würzburg, 2018 Eingereicht am: …………………………………………….................... Mitglieder der Promotionskommission: Vorsitzender: Gutachter: Univ.-Prof. Dr. med. Thomas Haaf Gutachter: Univ.-Prof. Dr. Thomas Dandekar Tag des Promotionskolloquiums: ……………………….................. Doktorurkunde ausgehändigt am: ………………………................. Eidesstattliche Versicherung Die vorliegende Arbeit wurde von November 2014 bis September 2018 am Institut für Humangenetik der Universität Würzburg unter Betreuung von Herrn Univ.-Prof. Dr. med. Thomas Haaf angefertigt. Hiermit erkläre ich an Eides statt, die Dissertation: „Analyse genetischer Stabilität in den Nachkommen bestrahlter Zellen mittels klassischer Chromosomenbänderung und verschiedener Hochdurchsatz-Techniken“, eigenständig, d. h. insbesondere selbständig und ohne Hilfe eines kommerziellen Promotionsberaters, angefertigt und keine anderen, als die von mir angegebenen Quellen und Hilfsmittel verwendet zu haben. Ich erkläre außerdem, dass die Dissertation weder in gleicher noch in ähnlicher Form bereits in einem anderen Prüfungsverfahren vorgelegen hat. Weiterhin erkläre ich, dass bei allen Abbildungen und Texten bei denen die Verwer- tungsrechte (Copyright) nicht bei mir liegen, diese von den Rechtsinhabern -
Downregulation of Salivary Proteins, Protective Against Dental Caries, in Type 1 Diabetes
proteomes Article Downregulation of Salivary Proteins, Protective against Dental Caries, in Type 1 Diabetes Eftychia Pappa 1,* , Konstantinos Vougas 2, Jerome Zoidakis 2 , William Papaioannou 3, Christos Rahiotis 1 and Heleni Vastardis 4 1 Department of Operative Dentistry, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; [email protected] 2 Proteomics Laboratory, Biomedical Research Foundation Academy of Athens, 11527 Athens, Greece; [email protected] (K.V.); [email protected] (J.Z.) 3 Department of Preventive and Community Dentistry, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; [email protected] 4 Department of Orthodontics, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; [email protected] * Correspondence: effi[email protected] Abstract: Saliva, an essential oral secretion involved in protecting the oral cavity’s hard and soft tissues, is readily available and straightforward to collect. Recent studies have analyzed the sali- vary proteome in children and adolescents with extensive carious lesions to identify diagnostic and prognostic biomarkers. The current study aimed to investigate saliva’s diagnostic ability through proteomics to detect the potential differential expression of proteins specific for the occurrence of carious lesions. For this study, we performed bioinformatics and functional analysis of proteomic datasets, previously examined by our group, from samples of adolescents with regulated and unreg- ulated type 1 diabetes, as they compare with healthy controls. Among the differentially expressed Citation: Pappa, E.; Vougas, K.; proteins relevant to caries pathology, alpha-amylase 2B, beta-defensin 4A, BPI fold containing family Zoidakis, J.; Papaioannou, W.; Rahiotis, C.; Vastardis, H. -
Comprehensive Study of Nuclear Receptor DNA Binding Provides a Revised Framework for Understanding Receptor Specificity
ARTICLE https://doi.org/10.1038/s41467-019-10264-3 OPEN Comprehensive study of nuclear receptor DNA binding provides a revised framework for understanding receptor specificity Ashley Penvose 1,2,4, Jessica L. Keenan 2,3,4, David Bray2,3, Vijendra Ramlall 1,2 & Trevor Siggers 1,2,3 The type II nuclear receptors (NRs) function as heterodimeric transcription factors with the retinoid X receptor (RXR) to regulate diverse biological processes in response to endogenous 1234567890():,; ligands and therapeutic drugs. DNA-binding specificity has been proposed as a primary mechanism for NR gene regulatory specificity. Here we use protein-binding microarrays (PBMs) to comprehensively analyze the DNA binding of 12 NR:RXRα dimers. We find more promiscuous NR-DNA binding than has been reported, challenging the view that NR binding specificity is defined by half-site spacing. We show that NRs bind DNA using two distinct modes, explaining widespread NR binding to half-sites in vivo. Finally, we show that the current models of NR specificity better reflect binding-site activity rather than binding-site affinity. Our rich dataset and revised NR binding models provide a framework for under- standing NR regulatory specificity and will facilitate more accurate analyses of genomic datasets. 1 Department of Biology, Boston University, Boston, MA 02215, USA. 2 Biological Design Center, Boston University, Boston, MA 02215, USA. 3 Bioinformatics Program, Boston University, Boston, MA 02215, USA. 4These authors contributed equally: Ashley Penvose, Jessica L. Keenan. Correspondence -
Dual Proteome-Scale Networks Reveal Cell-Specific Remodeling of the Human Interactome
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. 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. Dual Proteome-scale Networks Reveal Cell-specific Remodeling of the Human Interactome Edward L. Huttlin1*, Raphael J. Bruckner1,3, Jose Navarrete-Perea1, Joe R. Cannon1,4, Kurt Baltier1,5, Fana Gebreab1, Melanie P. Gygi1, Alexandra Thornock1, Gabriela Zarraga1,6, Stanley Tam1,7, John Szpyt1, Alexandra Panov1, Hannah Parzen1,8, Sipei Fu1, Arvene Golbazi1, Eila Maenpaa1, Keegan Stricker1, Sanjukta Guha Thakurta1, Ramin Rad1, Joshua Pan2, David P. Nusinow1, Joao A. Paulo1, Devin K. Schweppe1, Laura Pontano Vaites1, J. Wade Harper1*, Steven P. Gygi1*# 1Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA. 2Broad Institute, Cambridge, MA, 02142, USA. 3Present address: ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, 02115, USA. 4Present address: Merck, West Point, PA, 19486, USA. 5Present address: IQ Proteomics, Cambridge, MA, 02139, USA. 6Present address: Vor Biopharma, Cambridge, MA, 02142, USA. 7Present address: Rubius Therapeutics, Cambridge, MA, 02139, USA. 8Present address: RPS North America, South Kingstown, RI, 02879, USA. *Correspondence: [email protected] (E.L.H.), [email protected] (J.W.H.), [email protected] (S.P.G.) #Lead Contact: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
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. -
Estrogen-Related Receptor Alpha: an Under-Appreciated Potential Target for the Treatment of Metabolic Diseases
International Journal of Molecular Sciences Review Estrogen-Related Receptor Alpha: An Under-Appreciated Potential Target for the Treatment of Metabolic Diseases Madhulika Tripathi, Paul Michael Yen and Brijesh Kumar Singh * Laboratory of Hormonal Regulation, Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore 169857, Singapore; [email protected] (M.T.); [email protected] (P.M.Y.) * Correspondence: [email protected] Received: 7 February 2020; Accepted: 24 February 2020; Published: 28 February 2020 Abstract: The estrogen-related receptor alpha (ESRRA) is an orphan nuclear receptor (NR) that significantly influences cellular metabolism. ESRRA is predominantly expressed in metabolically-active tissues and regulates the transcription of metabolic genes, including those involved in mitochondrial turnover and autophagy. Although ESRRA activity is well-characterized in several types of cancer, recent reports suggest that it also has an important role in metabolic diseases. This minireview focuses on the regulation of cellular metabolism and function by ESRRA and its potential as a target for the treatment of metabolic disorders. Keywords: estrogen-related receptor alpha; mitophagy; mitochondrial turnover; metabolic diseases; non-alcoholic fatty liver disease (NAFLD); adipogenesis; adaptive thermogenesis 1. Introduction When the estrogen-related receptor alpha (ESRRA) was first cloned, it was found to be a nuclear receptor (NR) that had DNA sequence homology to the estrogen receptor alpha (ESR1) [1]. There are several examples of estrogen-related receptor (ESRR) and estrogen-signaling cross-talk via mutual transcriptional regulation or reciprocal binding to each other’s response elements of common target genes in a context-specific manner [2,3]. -
IRF5 Gene Interferon Regulatory Factor 5
IRF5 gene interferon regulatory factor 5 Normal Function The protein produced from the IRF5 gene, called interferon regulatory factor 5 (IRF5), acts as a transcription factor, which means that it attaches (binds) to specific regions of DNA and helps control the activity of certain genes. When a virus is recognized in the cell, the IRF5 gene is turned on (activated), which leads to the production of IRF5 protein. The protein binds to specific regions of DNA that regulate the activity of genes that produce interferons and other cytokines. Cytokines are proteins that help fight infection by promoting inflammation and regulating the activity of immune system cells. In particular, interferons control the activity of genes that help block the replication of viruses, and they stimulate the activity of certain immune system cells known as natural killer cells. Health Conditions Related to Genetic Changes Systemic scleroderma Several normal variations in the IRF5 gene have been associated with an increased risk of developing systemic scleroderma, which is an autoimmune disorder characterized by the buildup of scar tissue (fibrosis) in the skin and internal organs. Although the IRF5 gene is known to stimulate the immune system in response to viruses, it is unknown how the gene variations contribute to the increased risk of systemic scleroderma. Researchers believe that a combination of genetic and environmental factors may play a role in development of the condition. Rheumatoid arthritis MedlinePlus Genetics provides information about Rheumatoid arthritis Systemic lupus erythematosus MedlinePlus Genetics provides information about Systemic lupus erythematosus Ulcerative colitis MedlinePlus Genetics provides information about Ulcerative colitis Reprinted from MedlinePlus Genetics (https://medlineplus.gov/genetics/) 1 Autoimmune disorders Studies have associated normal variations in the IRF5 gene with an increased risk of several autoimmune disorders. -
Network Assessment of Demethylation Treatment in Melanoma: Differential Transcriptome-Methylome and Antigen Profile Signatures
RESEARCH ARTICLE Network assessment of demethylation treatment in melanoma: Differential transcriptome-methylome and antigen profile signatures Zhijie Jiang1☯, Caterina Cinti2☯, Monia Taranta2, Elisabetta Mattioli3,4, Elisa Schena3,5, Sakshi Singh2, Rimpi Khurana1, Giovanna Lattanzi3,4, Nicholas F. Tsinoremas1,6, 1 Enrico CapobiancoID * a1111111111 1 Center for Computational Science, University of Miami, Miami, FL, United States of America, 2 Institute of Clinical Physiology, CNR, Siena, Italy, 3 CNR Institute of Molecular Genetics, Bologna, Italy, 4 IRCCS Rizzoli a1111111111 Orthopedic Institute, Bologna, Italy, 5 Endocrinology Unit, Department of Medical & Surgical Sciences, Alma a1111111111 Mater Studiorum University of Bologna, S Orsola-Malpighi Hospital, Bologna, Italy, 6 Department of a1111111111 Medicine, University of Miami, Miami, FL, United States of America a1111111111 ☯ These authors contributed equally to this work. * [email protected] OPEN ACCESS Abstract Citation: Jiang Z, Cinti C, Taranta M, Mattioli E, Schena E, Singh S, et al. (2018) Network assessment of demethylation treatment in Background melanoma: Differential transcriptome-methylome and antigen profile signatures. PLoS ONE 13(11): In melanoma, like in other cancers, both genetic alterations and epigenetic underlie the met- e0206686. https://doi.org/10.1371/journal. astatic process. These effects are usually measured by changes in both methylome and pone.0206686 transcriptome profiles, whose cross-correlation remains uncertain. We aimed to assess at Editor: Roger Chammas, Universidade de Sao systems scale the significance of epigenetic treatment in melanoma cells with different met- Paulo, BRAZIL astatic potential. Received: June 20, 2018 Accepted: October 17, 2018 Methods and findings Published: November 28, 2018 Treatment by DAC demethylation with 5-Aza-2'-deoxycytidine of two melanoma cell lines Copyright: © 2018 Jiang et al. -
Differential Proteomic Analysis of the Pancreas of Diabetic Db/Db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus
Int. J. Mol. Sci. 2014, 15, 9579-9593; doi:10.3390/ijms15069579 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Differential Proteomic Analysis of the Pancreas of Diabetic db/db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus Victoriano Pérez-Vázquez 1,*, Juan M. Guzmán-Flores 1, Daniela Mares-Álvarez 1, Magdalena Hernández-Ortiz 2, Maciste H. Macías-Cervantes 1, Joel Ramírez-Emiliano 1 and Sergio Encarnación-Guevara 2 1 Depto. de Ciencias Médicas, División de Ciencias de la Salud, Campus León, Universidad de Guanajuato, León, Guanajuato 37320, Mexico; E-Mails: [email protected] (J.M.G.-F.); [email protected] (D.M.-A.); [email protected] (M.H.M.-C.); [email protected] (J.R.-E.) 2 Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos 62210, Mexico; E-Mails: [email protected] (M.H.-O.); [email protected] (S.E.-G.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +52-477-7143-812; Fax: +52-477-7167-623. Received: 4 April 2014; in revised form: 14 May 2014 / Accepted: 19 May 2014 / Published: 30 May 2014 Abstract: Type 2 diabetes mellitus is characterized by hyperglycemia and insulin-resistance. Diabetes results from pancreatic inability to secrete the insulin needed to overcome this resistance. We analyzed the protein profile from the pancreas of ten-week old diabetic db/db and wild type mice through proteomics. Pancreatic proteins were separated in two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and significant changes in db/db mice respect to wild type mice were observed in 27 proteins. -
ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed
ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed Probe Sets in Livers of GK Rats. A. Immune/Inflammatory (67 probe sets, 63 genes) Age Strain Probe ID Gene Name Symbol Accession Gene Function 5 WKY 1398390_at small inducible cytokine B13 precursor Cxcl13 AA892854 chemokine activity; lymph node development 5 WKY 1389581_at interleukin 33 Il33 BF390510 cytokine activity 5 WKY *1373970_at interleukin 33 Il33 AI716248 cytokine activity 5 WKY 1369171_at macrophage stimulating 1 (hepatocyte growth factor-like) Mst1; E2F2 NM_024352 serine-throenine kinase; tumor suppression 5 WKY 1388071_x_at major histocompatability antigen Mhc M24024 antigen processing and presentation 5 WKY 1385465_at sialic acid binding Ig-like lectin 5 Siglec5 BG379188 sialic acid-recognizing receptor 5 WKY 1393108_at major histocompatability antigen Mhc BM387813 antigen processing and presentation 5 WKY 1388202_at major histocompatability antigen Mhc BI395698 antigen processing and presentation 5 WKY 1371171_at major histocompatability antigen Mhc M10094 antigen processing and presentation 5 WKY 1370382_at major histocompatability antigen Mhc BI279526 antigen processing and presentation 5 WKY 1371033_at major histocompatability antigen Mhc AI715202 antigen processing and presentation 5 WKY 1383991_at leucine rich repeat containing 8 family, member E Lrrc8e BE096426 proliferation and activation of lymphocytes and monocytes. 5 WKY 1383046_at complement component factor H Cfh; Fh AA957258 regulation of complement cascade 4 WKY 1369522_a_at CD244 natural killer