Analyses of Caspase-1-Regulated Transcriptomes in Various Tissues
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ONCOGENOMICS Through the Use of Chemotherapeutic Agents
Oncogene (2002) 21, 7749 – 7763 ª 2002 Nature Publishing Group All rights reserved 0950 – 9232/02 $25.00 www.nature.com/onc Expression profiling of primary non-small cell lung cancer for target identification Jim Heighway*,1, Teresa Knapp1, Lenetta Boyce1, Shelley Brennand1, John K Field1, Daniel C Betticher2, Daniel Ratschiller2, Mathias Gugger2, Michael Donovan3, Amy Lasek3 and Paula Rickert*,3 1Target Identification Group, Roy Castle International Centre for Lung Cancer Research, University of Liverpool, 200 London Road, Liverpool L3 9TA, UK; 2Institute of Medical Oncology, University of Bern, 3010 Bern, Switzerland; 3Incyte Genomics Inc., 3160 Porter Drive, Palo Alto, California, CA 94304, USA Using a panel of cDNA microarrays comprising 47 650 Introduction transcript elements, we have carried out a dual-channel analysis of gene expression in 39 resected primary The lack of generally effective therapies for lung cancer human non-small cell lung tumours versus normal lung leads to the high mortality rate associated with this tissue. Whilst *11 000 elements were scored as common disease. Recorded 5-year survival figures vary, differentially expressed at least twofold in at least one to some extent perhaps reflecting differences in sample, 96 transcripts were scored as over-represented ascertainment methods, but across Europe are approxi- fourfold or more in at least seven out of 39 tumours mately 10% (Bray et al., 2002). Whilst surgery is an and 30 sequences 16-fold in at least two out of 39 effective strategy for the treatment of localized lesions, tumours, including 24 transcripts in common. Tran- most patients present with overtly or covertly dissemi- scripts (178) were found under-represented fourfold in nated disease. -
Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptAm J Med Author Manuscript Genet B Neuropsychiatr Author Manuscript Genet. Author manuscript; available in PMC 2015 December 01. Published in final edited form as: Am J Med Genet B Neuropsychiatr Genet. 2014 December ; 0(8): 673–683. doi:10.1002/ajmg.b.32272. Association and ancestry analysis of sequence variants in ADH and ALDH using alcohol-related phenotypes in a Native American community sample Qian Peng1,2,*, Ian R. Gizer3, Ondrej Libiger2, Chris Bizon4, Kirk C. Wilhelmsen4,5, Nicholas J. Schork1, and Cindy L. Ehlers6,* 1 Department of Human Biology, J. Craig Venter Institute, La Jolla, CA 92037 2 Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA 92037 3 Department of Psychological Sciences, University of Missouri-Columbia, Columbia, MO 65211 4 Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517 5 Department of Genetics and Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 6 Department of Molecular and Cellular Neuroscience, The Scripps Research Institute, La Jolla, CA 92037 Abstract Higher rates of alcohol use and other drug-dependence have been observed in some Native American populations relative to other ethnic groups in the U.S. Previous studies have shown that alcohol dehydrogenase (ADH) genes and aldehyde dehydrogenase (ALDH) genes may affect the risk of development of alcohol dependence, and that polymorphisms within these genes may differentially affect risk for the disorder depending on the ethnic group evaluated. We evaluated variations in the ADH and ALDH genes in a large study investigating risk factors for substance use in a Native American population. -
Molecular Basis for the Distinct Cellular Functions of the Lsm1-7 and Lsm2-8 Complexes
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.22.055376; this version posted April 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Molecular basis for the distinct cellular functions of the Lsm1-7 and Lsm2-8 complexes Eric J. Montemayor1,2, Johanna M. Virta1, Samuel M. Hayes1, Yuichiro Nomura1, David A. Brow2, Samuel E. Butcher1 1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA. 2Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Correspondence should be addressed to E.J.M. ([email protected]) and S.E.B. ([email protected]). Abstract Eukaryotes possess eight highly conserved Lsm (like Sm) proteins that assemble into circular, heteroheptameric complexes, bind RNA, and direct a diverse range of biological processes. Among the many essential functions of Lsm proteins, the cytoplasmic Lsm1-7 complex initiates mRNA decay, while the nuclear Lsm2-8 complex acts as a chaperone for U6 spliceosomal RNA. It has been unclear how these complexes perform their distinct functions while differing by only one out of seven subunits. Here, we elucidate the molecular basis for Lsm-RNA recognition and present four high-resolution structures of Lsm complexes bound to RNAs. The structures of Lsm2-8 bound to RNA identify the unique 2′,3′ cyclic phosphate end of U6 as a prime determinant of specificity. In contrast, the Lsm1-7 complex strongly discriminates against cyclic phosphates and tightly binds to oligouridylate tracts with terminal purines. -
Salivary Exrna Biomarkers to Detect Gingivitis and Monitor Disease Regression
Received: 3 December 2017 | Revised: 14 April 2018 | Accepted: 13 May 2018 DOI: 10.1111/jcpe.12930 OTHER Salivary exRNA biomarkers to detect gingivitis and monitor disease regression Karolina E. Kaczor-Urbanowicz1,2* | Harsh M. Trivedi3* | Patricia O. Lima1,4 | Paulo M. Camargo5 | William V. Giannobile6 | Tristan R. Grogan7 | Frederico O. Gleber-Netto8 | Yair Whiteman9 | Feng Li1 | Hyo Jung Lee10 | Karan Dharia11 | Katri Aro1 | Carmen Martin Carerras-Presas12 | Saarah Amuthan11 | Manjiri Vartak11 | David Akin1 | Hiba Al-adbullah11 | Kanika Bembey11 | Perry R. Klokkevold5 | David Elashoff7 | Virginia M. Barnes13 | Rose Richter13 | William DeVizio13 | James G. Masters3 | David T. W. Wong1 1UCLA School of Dentistry, Center for Oral/Head & Neck Oncology Research, University of California at Los Angeles, Los Angeles, California 2Section of Orthodontics, UCLA School of Dentistry, University of California at Los Angeles, Los Angeles, California 3Early Research Oral Care, Colgate Palmolive Co., Piscataway, New Jersey 4Department of Physiological Sciences, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brazil 5Section of Periodontics, UCLA School of Dentistry, University of California at Los Angeles, Los Angeles, California 6Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, Michigan 7Department of Biostatistics, University of California at Los Angeles, Los Angeles, California 8Medical Genomics Laboratory, Centro Internacional de Pesquisa e Ensino (CIPE), AC Camargo Cancer -
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. -
Bppart and Bpmax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model
BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, and Hamidreza Chitsaz ∗ Department of Computer Science, Colorado State University Abstract A few elite classes of RNA-RNA interaction (RRI), with complex roles in cellular functions such as miRNA-target and lncRNAs in human health, have already been studied. Accordingly, RRI bioinfor- matics tools tailored for those elite classes have been proposed in the last decade. Interestingly, there are somewhat unnoticed mRNA-mRNA interactions in the literature with potentially drastic biological roles. Hence, there is a need for high-throughput generic RRI bioinformatics tools. We revisit our RRI partition function algorithm, piRNA, which happens to be the most comprehensive and computationally-intensive thermodynamic model for RRI. We propose simpler models that are shown to retain the vast majority of the thermodynamic information that piRNA captures. We simplify the energy model and instead consider only weighted base pair counting to obtain BPPart for Base-pair Partition function and BPMax for Base-pair Maximization which are 225 and 1350 faster ◦ × × than piRNA, with a correlation of 0.855 and 0.836 with piRNA at 37 C on 50,500 experimentally charac- terized RRIs. This correlation increases to 0.920 and 0.904, respectively, at 180◦C. − Finally, we apply our algorithm BPPart to discover two disease-related RNAs, SNORD3D and TRAF3, and hypothesize their potential roles in Parkinson's disease and Cerebral Autosomal Dominant Arteri- opathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). 1 Introduction Since mid 1990s with the advent of RNA interference discovery, RNA-RNA interaction (RRI) has moved to the spotlight in modern, post-genome biology. -
Age-Dependent Protein Abundance of Cytosolic Alcohol and Aldehyde Dehydrogenases in Human Liver S
Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2017/08/21/dmd.117.076463.DC2 http://dmd.aspetjournals.org/content/suppl/2017/06/12/dmd.117.076463.DC1 1521-009X/45/9/1044–1048$25.00 https://doi.org/10.1124/dmd.117.076463 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 45:1044–1048, September 2017 Copyright ª 2017 by The American Society for Pharmacology and Experimental Therapeutics Age-dependent Protein Abundance of Cytosolic Alcohol and Aldehyde Dehydrogenases in Human Liver s Deepak Kumar Bhatt, Andrea Gaedigk, Robin E. Pearce, J. Steven Leeder, and Bhagwat Prasad Department of Pharmaceutics, University of Washington, Seattle, Washington (D.K.B., B.P.); Department of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children’s Mercy-Kansas City, Missouri and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (A.G., R.E.P., J.S.L.) Received April 21, 2017; accepted June 5, 2017 ABSTRACT Hepatic cytosolic alcohol and aldehyde dehydrogenases (ADHs and the adult levels, respectively. For all proteins, the abundance steeply ALDHs) catalyze the biotransformation of xenobiotics (e.g., cyclo- increased during the first year of life, which mostly reached adult Downloaded from phosphamide and ethanol) and vitamin A. Because age-dependent levels during early childhood (age between 1 and 6 years). Only for hepatic abundance of these proteins is unknown, we quantified ADH1A protein abundance in adults (age > 18 year) was ∼40% lower protein expression of ADHs and ALDH1A1 in a large cohort of pediatric relative to the early childhood group. Abundances of ADHs and and adult human livers by liquid chromatography coupled with tandem ALDH1A1 were not associated with sex in samples with age > 1 year mass spectrometry proteomics. -
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Combined glucocorticoid and mineralocorticoid deficiency related to a new NNT mutation : a case report E.Doye 1, CL.Gay 1, S.Castets 1, F.Roucher-Boulez 2, Y.Morel 2, I.Plotton 2, M.Nicolino 1 1 CHU Hospices Civils de Lyon, Service d’Endocrinologie Pédiatrique, Lyon, France ; 2 Hospices Civils de Lyon, Laboratoire d’Endocrinologie Moléculaire et Maladies Rares, Lyon, France BACKGROUND OBJECTIVE Familial glucocorticoid deficiency is an autosomal recessive disorder To describe a new case of familial characterized by specific failure of adrenocortical glucocorticoid glucocorticoid deficiency with combined production in response to adrenocorticotropic hormone (ACTH). mineralocorticoid insufficiency and extra Mutations of the NNT (nicotinamide nucleotide transhydrogenase) adrenal manifestations. gene have recently been implicated in familial glucocorticoid deficiency. RESULTS Suffering from a febrile viral respiratory Diagnosis : during At one month At six months disease, an eight-month-old boy presented hypoglycémia and with status epilepticus caused by severe hypotension hypoglycemia. Multiple medical complications occurred, and invasive ventilation was Natremia (mmol/L) 135 126 136 required for 18 days. The results of blood tests performed during hypoglycemia revealed ACTH (ng/L) 1382 >2000 >2000 adrenal insufficiency. Renin and aldosterone Cortisol (nmol/L) <20 - <20 levels were high but considered consistent Renin (ng/L) 2880 278 177 with the mild hyponatremia and severe hypotension. Subsequent measurements Aldosterone (pmol/L) - 179 72 -
Slc1a3-2A-Creert2 Mice Reveal Unique Features of Bergmann Glia and Augment a Growing Collection of Cre Drivers and Effectors In
www.nature.com/scientificreports OPEN Slc1a3‑2A‑CreERT2 mice reveal unique features of Bergmann glia and augment a growing collection of Cre drivers and efectors in the 129S4 genetic background Lech Kaczmarczyk1,2, Nicole Reichenbach2, Nelli Blank2, Maria Jonson1, Lars Dittrich2, Gabor C. Petzold2,3 & Walker S. Jackson1,2* Genetic variation is a primary determinant of phenotypic diversity. In laboratory mice, genetic variation can be a serious experimental confounder, and thus minimized through inbreeding. However, generalizations of results obtained with inbred strains must be made with caution, especially when working with complex phenotypes and disease models. Here we compared behavioral characteristics of C57Bl/6—the strain most widely used in biomedical research—with those of 129S4. In contrast to 129S4, C57Bl/6 demonstrated high within‑strain and intra‑litter behavioral hyperactivity. Although high consistency would be advantageous, the majority of disease models and transgenic tools are in C57Bl/6. We recently established six Cre driver lines and two Cre efector lines in 129S4. To augment this collection, we genetically engineered a Cre line to study astrocytes in 129S4. It was validated with two Cre efector lines: calcium indicator gCaMP5g‑tdTomato and RiboTag—a tool widely used to study cell type‑specifc translatomes. These reporters are in diferent genomic loci, and in both the Cre was functional and astrocyte‑specifc. We found that calcium signals lasted longer and had a higher amplitude in cortical compared to hippocampal astrocytes, genes linked to a single neurodegenerative disease have highly divergent expression patterns, and that ribosome proteins are non‑uniformly expressed across brain regions and cell types. -
Recombinant Human ADH6 Protein Catalog Number: ATGP1564
Recombinant human ADH6 protein Catalog Number: ATGP1564 PRODUCT INPORMATION Expression system E.coli Domain 1-375aa UniProt No. P28332 NCBI Accession No. NP_001095940 Alternative Names Alcohol dehydrogenase 6, ADH-5 PRODUCT SPECIFICATION Molecular Weight 42.4 kDa (399aa) confirmed by MALDI-TOF Concentration 0.5mg/ml (determined by Bradford assay) Formulation Liquid in. 20mM Tris-HCl buffer (pH 8.0) containing 30% glycerol, 0.15M NaCl, 1mM DTT Purity > 90% by SDS-PAGE Tag His-Tag Application SDS-PAGE Storage Condition Can be stored at +2C to +8C for 1 week. For long term storage, aliquot and store at -20C to -80C. Avoid repeated freezing and thawing cycles. BACKGROUND Description ADH6, also known as alcohol dehydrogenase 6, is a member of the alcohol dehydrogenase family. Members of this family metabolize a wide variety of substrates, including ethanol, retinol, other aliphatic alcohols, hydroxysteroids, and lipid peroxidation products. This protein is expressed in the stomach as well as in the liver, and it contains a glucocorticoid response element upstream of its 5' uTR, which is a steroid hormone receptor binding site. Recombinant human ADH6 protein, fused to His-tag at N-terminus, was expressed in E. coli and purified by using conventional chromatography. 1 Recombinant human ADH6 protein Catalog Number: ATGP1564 Amino acid Sequence MGSSHHHHHH SSGLVPRGSH MGSHMSTTGQ VIRCKAAILW KPGAPFSIEE VEVAPPKAKE VRIKVVATGL CGTEMKVLGS KHLDLLYPTI LGHEGAGIVE SIGEGVSTVK PGDKVITLFL PQCGECTSCL NSEGNFCIQF KQSKTQLMSD GTSRFTCKGK SIYHFGNTST FCEYTVIKEI SVAKIDAVAP LEKVCLISCG FSTGFGAAIN TAKVTPGSTC AVFGLGGVGL SVVMGCKAAG AARIIGVDVN KEKFKKAQEL GATECLNPQD LKKPIQEVLF DMTDAGIDFC FEAIGNLDVL AAALASCNES YGVCVVVGVL PASVQLKISG QLFFSGRSLK GSVFGGWKSR QHIPKLVADY MAEKLNLDPL ITHTLNLDKI NEAVELMKTG KCIRCILLL General References Yasunami M., et al. (1991) Proc. -
NNT Mutations: a Cause of Primary Adrenal Insufficiency, Oxidative Stress and Extra- Adrenal Defects
175:1 F Roucher-Boulez and others NNT, adrenal and extra-adrenal 175:1 73–84 Clinical Study defects NNT mutations: a cause of primary adrenal insufficiency, oxidative stress and extra- adrenal defects Florence Roucher-Boulez1,2, Delphine Mallet-Motak1, Dinane Samara-Boustani3, Houweyda Jilani1, Asmahane Ladjouze4, Pierre-François Souchon5, Dominique Simon6, Sylvie Nivot7, Claudine Heinrichs8, Maryline Ronze9, Xavier Bertagna10, Laure Groisne11, Bruno Leheup12, Catherine Naud-Saudreau13, Gilles Blondin13, Christine Lefevre14, Laetitia Lemarchand15 and Yves Morel1,2 1Molecular Endocrinology and Rare Diseases, Lyon University Hospital, Bron, France, 2Claude Bernard Lyon 1 University, Lyon, France, 3Pediatric Endocrinology, Gynecology and Diabetology, Necker University Hospital, Paris, France, 4Pediatric Department, Bab El Oued University Hospital, Alger, Algeria, 5Pediatric Endocrinology and Diabetology, American Memorial Hospital, Reims, France, 6Pediatric Endocrinology, Robert Debré Hospital, Paris, France, 7Department of Pediatrics, Rennes Teaching Hospital, Rennes, France, 8Pediatric Endocrinology, Queen Fabiola Children’s University Hospital, Brussels, Belgium, 9Endocrinology Department, L.-Hussel Hospital, Vienne, France, 10Endocrinology Department, Cochin University Hospital, Paris, France, 11Endocrinology Department, Lyon University Hospital, Bron-Lyon, France, 12Paediatric and Clinical Genetic Department, Correspondence Nancy University Hospital, Vandoeuvre les Nancy, France, 13Pediatric Endocrinology and Diabetology, should be