Defining Trends in Global Gene Expression in Arabian Horses with Cerebellar Abiotrophy
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Polyclonal Antibody to APIP (Full Length) - Purified
OriGene Technologies, Inc. OriGene Technologies GmbH 9620 Medical Center Drive, Ste 200 Schillerstr. 5 Rockville, MD 20850 32052 Herford UNITED STATES GERMANY Phone: +1-888-267-4436 Phone: +49-5221-34606-0 Fax: +1-301-340-8606 Fax: +49-5221-34606-11 [email protected] [email protected] AP08426PU-N Polyclonal Antibody to APIP (full length) - Purified Alternate names: APAF1-interacting protein, CGI-29 Quantity: 50 µg Concentration: 0.5 mg/ml Background: The mammalian homologues of the key cell death gene CED-4 in C. elegans has been identified recently from human and mouse and designated Apaf1 (for apoptosis protease activating factor 1). Apaf1 binds to cytochrome c (Apaf2) and caspase 9 (Apaf3), which leads to caspase 9 activation. Activated caspase 9 in turn cleaves and activates caspase 3 that is one of the key proteases, being responsible for the proteolytic cleavage of many key proteins in apoptosis. A new Apaf1 Interacting Protein (APIP) also known as CG129 and MMRP19, has been identified as a negative regulator of ischemic injury. APIP competes with Caspase 9 binding site of Apaf1. APIP is predicted to code for a 204 amino acid. An isoform of APIP, APIP2 encodes a 242 amino acid protein, which is an alternative splicing variant differing in its N terminus from APIP. APIP transcript is ubiquitously expressed in most adult tissue with high expression in skeletal muscle, heart, and kidney. Uniprot ID: Q96GX9 NCBI: NP_057041.2 GeneID: 51074 Host / Isotype: Rabbit / IgG Immunogen: Recombinant protein corresponding to a full-length His-tagged recombinant Human APIP protein Format: State: Liquid purified Ig fraction Purification: Protein G Chromatography Buffer System: PBS containing 0.2% Gelatin as stabilizer and 0.05% Sodium Azide as preservative Applications: Immunohistochemistry on Paraffin Sections: 10 µg/ml. -
The Rnase H-Like Superfamily: New Members, Comparative Structural Analysis and Evolutionary Classification Karolina A
4160–4179 Nucleic Acids Research, 2014, Vol. 42, No. 7 Published online 23 January 2014 doi:10.1093/nar/gkt1414 The RNase H-like superfamily: new members, comparative structural analysis and evolutionary classification Karolina A. Majorek1,2,3,y, Stanislaw Dunin-Horkawicz1,y, Kamil Steczkiewicz4, Anna Muszewska4,5, Marcin Nowotny6, Krzysztof Ginalski4 and Janusz M. Bujnicki1,3,* 1Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology, ul. Ks. Trojdena 4, PL-02-109 Warsaw, Poland, 2Department of Molecular Physiology and Biological Physics, University of Virginia, 1340 Jefferson Park Avenue, Charlottesville, VA USA-22908, USA, 3Bioinformatics Laboratory, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Umultowska 89, PL-61-614 Poznan, Poland, 4Laboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, Zwirki i Wigury 93, PL-02-089 Warsaw, Poland, 5Institute of Biochemistry and Biophysics PAS, Pawinskiego 5A, PL-02-106 Warsaw, Poland and 6Laboratory of Protein Structure, International Institute of Molecular and Cell Biology, ul. Ks. Trojdena 4, PL-02-109 Warsaw, Poland Received September 23, 2013; Revised December 12, 2013; Accepted December 26, 2013 ABSTRACT revealed a correlation between the orientation of Ribonuclease H-like (RNHL) superfamily, also called the C-terminal helix with the exonuclease/endo- the retroviral integrase superfamily, groups together nuclease function and the architecture of the numerous enzymes involved in nucleic acid metab- active site. Our analysis provides a comprehensive olism and implicated in many biological processes, picture of sequence-structure-function relation- including replication, homologous recombination, ships in the RNHL superfamily that may guide func- DNA repair, transposition and RNA interference. -
Identification and Functional Analysis of Novel Genes Associated with Inherited Bone Marrow Failure Syndromes
Identification and Functional Analysis of Novel Genes Associated with Inherited Bone Marrow Failure Syndromes by Anna Matveev A thesis submitted in conformity with the requirements for the degree of Master of Science Institute of Medical Science University of Toronto © Copyright by Anna Matveev 2020 Abstract Identification and Functional Analysis of Novel Genes Associated with Inherited Bone Marrow Failure Syndromes Anna Matveev Master of Science Institute of Medical Science University of Toronto 2020 Inherited bone marrow failure syndromes are multisystem-disorders that affect development of hematopoietic system. One of IBMFSs is Shwachman-Diamond-syndrome and about 80-90% of patients have mutations in the Shwachman-Bodian-Diamond-Syndrome gene. To unravel the genetic cause of the disease in the remaining 10-20% of patients, we performed WES as well as SNP-genotyping in families with SDS-phenotype and no mutations in SBDS. The results showed a region of homozygosity in chromosome 5p-arm DNAJC21 is in this region. Western blotting revealed reduced/null protein in patient. DNAJC21-homolog in yeast has been shown facilitating the release of the Arx1/Alb1 heterodimer from pre-60S.To investigate the cellular functions of DNAJC21 we knocked-down it in HEK293T-cells. We observed a high-level of ROS, which led to reduced cell proliferation. Our data indicate that mutations in DNAJC21 contribute to SDS. We hypothesize that DNAJC21 related ribosomal defects lead to increased levels of ROS therefore altering development and maturation of hematopoietic cells. ii Acknowledgments I would like to take this opportunity to extend my deepest gratitude to everyone who has helped me throughout my degree. -
Genomic Regions Associated with Muscularity in Beef Cattle Differ In
Doyle et al. Genet Sel Evol (2020) 52:2 https://doi.org/10.1186/s12711-020-0523-1 Genetics Selection Evolution RESEARCH ARTICLE Open Access Genomic regions associated with muscularity in beef cattle difer in fve contrasting cattle breeds Jennifer L. Doyle1,2, Donagh P. Berry1* , Roel F. Veerkamp3, Tara R. Carthy1, Ross D. Evans4, Siobhán W. Walsh2 and Deirdre C. Purfeld1 Abstract Background: Linear type traits, which refect the muscular characteristics of an animal, could provide insight into how, in some cases, morphologically very diferent animals can yield the same carcass weight. Such variability may contribute to diferences in the overall value of the carcass since primal cuts vary greatly in price; such variability may also hinder successful genome-based association studies. Therefore, the objective of our study was to identify genomic regions that are associated with fve muscularity linear type traits and to determine if these signifcant regions are common across fve diferent breeds. Analyses were carried out using linear mixed models on imputed whole-genome sequence data in each of the fve breeds, separately. Then, the results of the within-breed analyses were used to conduct an across-breed meta-analysis per trait. Results: We identifed many quantitative trait loci (QTL) that are located across the whole genome and associated with each trait in each breed. The only commonality among the breeds and traits was a large-efect pleiotropic QTL on BTA2 that contained the MSTN gene, which was associated with all traits in the Charolais and Limousin breeds. Other plausible candidate genes were identifed for muscularity traits including PDE1A, PPP1R1C and multiple col- lagen and HOXD genes. -
APIP (NM 015957) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC203297 APIP (NM_015957) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: APIP (NM_015957) Human Tagged ORF Clone Tag: Myc-DDK Symbol: APIP Synonyms: APIP2; CGI-29; CGI29; hAPIP; MMRP19 Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RC203297 ORF sequence Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGTCTGGCTGTGATGCTCGGGAGGGAGACTGTTGTTCCCGGAGATGCGGCGCGCAGGACAAGGAGCGTC CAAGATACCTGATCCCAGAACTTTGCAAACAGTTTTACCATTTAGGCTGGGTCACTGGGACTGGAGGAGG AATTAGCTTGAAGCATGGCGATGAAATCTACATTGCTCCTTCAGGAGTGCAAAAGGAACGAATTCAGCCT GAAGACATGTTTGTTTGTGATATAAATGAAAAGGACATAAGTGGACCTTCGCCATCGAAGAAGCTAAAAA AAAGCCAGTGTACTCCTCTTTTCATGAATGCTTACACAATGAGAGGAGCAGGTGCAGTGATTCATACCCA CTCTAAAGCTGCTGTGATGGCCACACTTCTCTTTCCAGGACGGGAGTTTAAAATTACACATCAAGAGATG ATAAAAGGAATAAAGAAATGTACTTCCGGAGGGTATTATAGATATGATGATATGTTAGTGGTACCCATTA TTGAGAATACACCTGAGGAGAAAGACCTCAAAGATAGAATGGCTCATGCAGTGAATGAATACCCAGACTC CTGTGCAGTACTGGTCAGACGTCATGGAGTATATGTGTGGGGGGAAACATGGGAGAAGGCCAAAACCATG TGTGAGTGTTATGACTATTTATTTGATATTGCCGTATCAATGAAGAAAGTAGGACTTGATCCTTCACAGC TCCCAGTTGGAGAAAATGGAATTGTC ACGCGTACGCGGCCGCTCGAGCAGAAACTCATCTCAGAAGAGGATCTGGCAGCAAATGATATCCTGGATT ACAAGGATGACGACGATAAGGTTTAA This product is to be used for -
Gigantea: Uncovering New Functions in Flower Development
G C A T T A C G G C A T genes Review Gigantea: Uncovering New Functions in Flower Development Claudio Brandoli 1, Cesar Petri 2 , Marcos Egea-Cortines 1 and Julia Weiss 1,* 1 Genética Molecular, Instituto de Biotecnología Vegetal, Edificio I+D+I, Plaza del Hospital s/n, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain; [email protected] (C.B.); [email protected] (M.E.-C.) 2 Instituto de Hortofruticultura Subtropical y Mediterránea-UMA-CSIC, Departamento de Fruticultura Subtropical y Mediterránea, 29750 Algarrobo-costa, Málaga, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-868-071-078 Received: 27 August 2020; Accepted: 22 September 2020; Published: 28 September 2020 Abstract: GIGANTEA (GI) is a gene involved in multiple biological functions, which have been analysed and are partially conserved in a series of mono- and dicotyledonous plant species. The identified biological functions include control over the circadian rhythm, light signalling, cold tolerance, hormone signalling and photoperiodic flowering. The latter function is a central role of GI, as it involves a multitude of pathways, both dependent and independent of the gene CONSTANS(CO), as well as on the basis of interaction with miRNA. The complexity of the gene function of GI increases due to the existence of paralogs showing changes in genome structure as well as incidences of sub- and neofunctionalization. We present an updated report of the biological function of GI, integrating late insights into its role in floral initiation, flower development and volatile flower production. Keywords: Gene ontology; molecular function; cellular localisation; biological function; circadian clock; flowering time; flower development; floral scent 1. -
S41467-019-10037-Y.Pdf
ARTICLE https://doi.org/10.1038/s41467-019-10037-y OPEN Feedback inhibition of cAMP effector signaling by a chaperone-assisted ubiquitin system Laura Rinaldi1, Rossella Delle Donne1, Bruno Catalanotti 2, Omar Torres-Quesada3, Florian Enzler3, Federica Moraca 4, Robert Nisticò5, Francesco Chiuso1, Sonia Piccinin5, Verena Bachmann3, Herbert H Lindner6, Corrado Garbi1, Antonella Scorziello7, Nicola Antonino Russo8, Matthis Synofzik9, Ulrich Stelzl 10, Lucio Annunziato11, Eduard Stefan 3 & Antonio Feliciello1 1234567890():,; Activation of G-protein coupled receptors elevates cAMP levels promoting dissociation of protein kinase A (PKA) holoenzymes and release of catalytic subunits (PKAc). This results in PKAc-mediated phosphorylation of compartmentalized substrates that control central aspects of cell physiology. The mechanism of PKAc activation and signaling have been largely characterized. However, the modes of PKAc inactivation by regulated proteolysis were unknown. Here, we identify a regulatory mechanism that precisely tunes PKAc stability and downstream signaling. Following agonist stimulation, the recruitment of the chaperone- bound E3 ligase CHIP promotes ubiquitylation and proteolysis of PKAc, thus attenuating cAMP signaling. Genetic inactivation of CHIP or pharmacological inhibition of HSP70 enhances PKAc signaling and sustains hippocampal long-term potentiation. Interestingly, primary fibroblasts from autosomal recessive spinocerebellar ataxia 16 (SCAR16) patients carrying germline inactivating mutations of CHIP show a dramatic dysregulation of PKA signaling. This suggests the existence of a negative feedback mechanism for restricting hormonally controlled PKA activities. 1 Department of Molecular Medicine and Medical Biotechnologies, University Federico II, 80131 Naples, Italy. 2 Department of Pharmacy, University Federico II, 80131 Naples, Italy. 3 Institute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, A-6020 Innsbruck, Austria. -
RNA–Protein Interaction Mapping Via MS2- Or Cas13-Based APEX Targeting
RNA–protein interaction mapping via MS2- or Cas13-based APEX targeting Shuo Hana,b,c,1, Boxuan Simen Zhaoa,b,c,1, Samuel A. Myersd, Steven A. Carrd, Chuan Hee,f, and Alice Y. Tinga,b,c,2 aDepartment of Genetics, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305; bDepartment of Biology, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305; cDepartment of Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305; dThe Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142; eDepartment of Chemistry, Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, IL 60637; and fDepartment of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, IL 60637 Edited by Robert H. Singer, Albert Einstein College of Medicine, Bronx, NY, and approved July 24, 2020 (received for review April 8, 2020) RNA–protein interactions underlie a wide range of cellular pro- and oncogenesis by serving as the template for reverse transcrip- cesses. Improved methods are needed to systematically map RNA– tion of telomeres (26, 27). While hTR’s interaction with the protein interactions in living cells in an unbiased manner. We used telomerase complex has been extensively characterized (28), hTR two approaches to target the engineered peroxidase APEX2 to is present in stoichiometric excess over telomerase in cancer cells specific cellular RNAs for RNA-centered proximity biotinylation of (29) and is broadly expressed in tissues lacking telomerase protein protein interaction partners. Both an MS2-MCP system and an (30). These observations suggest that hTR could also function engineered CRISPR-Cas13 system were used to deliver APEX2 to outside of the telomerase complex (31), and uncharacterized the human telomerase RNA hTR with high specificity. -
NLRP3 and ASC Differentially Affect the Lung Transcriptome During Pneumococcal Pneumonia
UvA-DARE (Digital Academic Repository) Cell-specific pattern recognition receptor signaling in antibacterial defense van Lieshout, M.H.P. Publication date 2015 Document Version Final published version Link to publication Citation for published version (APA): van Lieshout, M. H. P. (2015). Cell-specific pattern recognition receptor signaling in antibacterial defense. 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:30 Sep 2021 Chapter 7 NLRP3 and ASC differentially affect the lung transcriptome during pneumococcal pneumonia American Journal of Respiratory Cell and Molecular Biology 2014 Apr;50(4):699-712 DOI: 10.1165/rcmb.2013-0015OC Miriam H.P. van Lieshout 1,2 Brendon P. Scicluna 1,2 Sandrine Florquin 3 Tom van der Poll 1,2,4 Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands: 1Center of Infection and Immunity Amsterdam 2Center of Experimental and Molecular Medicine 3Department of Pathology 4Division of Infectious Diseases Chapter 7 Abstract Streptococcus (S.) pneumoniae is the most frequently isolated causative pathogen of community-acquired pneumonia, a leading cause of mortality worldwide. -
Open Xinwei Han Thesis.Pdf
The Pennsylvania State University The Graduate School Intercollege Graduate Program in Genetics UNDERSTANDING GENE EXPRESSION AND GENETIC RECOMBINATION BY NEXT GENERATION SEQUENCING A Dissertation in Genetics by Xinwei Han 2012 Xinwei Han Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy May 2012 The dissertation of Xinwei Han was reviewed and approved* by the following: Stephen W. Schaeffer Professor of Biology Chair of Committee Hong Ma Distinguished Professor of Biology Dissertation Advisor Naomi S. Altman Professor of Statistics Gong Chen Associate Professor of Biology Anton Nekrutenko Associate Professor of Biochemistry and Molecular Biology Robert F. Paulson Associate Professor of Veterinary and Biomedical Sciences Chair of Intercollege Graduate Degree Program in Genetics *Signatures are on file in the Graduate School iii ABSTRACT The introduction of next-generation sequencing technologies has been changing the landscape of biological research. The plummeting cost of massive sequencing not only leads to the flourishing of various genome projects, but also opens up many opportunities in previously uncharted areas, two remarkable examples of which are sequencing different individuals of the same species and sequencing transcriptomes. With the availability of multiple genome sequences from a population, it is possible to systematically catalog natural variations and, more importantly, investigate their genome-wide distribution to deduce functional elements through conservation or selection. Moreover, as genomic changes reflect evolution at work, the comprehensive map of natural variations serves as a basis for studying the properties and effects of evolutionary forces. For transcriptomics, sequencing has become a revolutionary way to characterize gene expression. It not only offers high replicability and unparalleled accuracy, but also requires less input material, enabling transcriptome study in tiny structures, and no prior knowledge of gene structure, allowing detection of unknown transcripts. -
Structural and Biochemical Basis for the Inhibition of Cell Death by APIP, a Methionine Salvage Enzyme
Structural and biochemical basis for the inhibition of cell death by APIP, a methionine salvage enzyme Wonchull Kanga,1, Se Hoon Hongb,1, Hye Min Leea, Na Yeon Kima, Yun Chan Lima, Le Thi My Lea, Bitna Limb, Hyun Chul Kima, Tae Yeon Kima, Hiroki Ashidac, Akiho Yokotac, Sang Soo Hahd, Keun Ho Chuna, Yong-Keun Jungb,2, and Jin Kuk Yanga,2 aDepartment of Chemistry, College of Natural Sciences, Soongsil University, Seoul 156-743, Korea; bSchool of Biological Science/Bio-Max Institute, Seoul National University, Seoul 151-742, Korea; cGraduate School of Biological Sciences, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara 630-0192, Japan; and dDepartment of Chemistry and Research Institute for Basic Sciences, Kyung Hee University, Seoul 130-701, Korea Edited by James A. Wells, University of California, San Francisco, CA, and approved December 4, 2013 (received for review May 10, 2013) APIP, Apaf-1 interacting protein, has been known to inhibit two MTA (5-methylthioadenosine) to methionine through six en- main types of programmed cell death, apoptosis and pyropto- zymatic reaction steps, and MtnB is the third enzyme in the sis, and was recently found to be associated with cancers and pathway and catalyzes the dehydration of MTRu-1-P (5-meth- inflammatory diseases. Distinct from its inhibitory role in cell ylthioribulose-1-phosphate) to DK-MTP-1-P (2,3-diketo-5-meth- death, APIP was also shown to act as a 5-methylthioribulose-1- ylthiopentyl-1-phosphate) (Fig. 1B) (4, 5). In the absence of phosphate dehydratase, or MtnB, in the methionine salvage path- methionine, cells supplemented with MTA exhibit decreased way. -
Mining Potentially Actionable Kinase Gene Fusions in Cancer Cell Lines with the Kung FU Database
www.nature.com/scientificdata OPeN Mining potentially actionable ArTICLe kinase gene fusions in cancer cell lines with the KuNG FU database Alessio Somaschini1,3, Sebastiano Di Bella1,3, Carlo Cusi1, Laura Raddrizzani1, Antonella Leone1, Giovanni Carapezza1, Tommaso Mazza 2, Antonella Isacchi1 & Roberta Bosotti1 ✉ Inhibition of kinase gene fusions (KGFs) has proven successful in cancer treatment and continues to represent an attractive research area, due to kinase druggability and clinical validation. Indeed, literature and public databases report a remarkable number of KGFs as potential drug targets, often identifed by in vitro characterization of tumor cell line models and confrmed also in clinical samples. However, KGF molecular and experimental information can sometimes be sparse and partially overlapping, suggesting the need for a specifc annotation database of KGFs, conveniently condensing all the molecular details that can support targeted drug development pipelines and diagnostic approaches. Here, we describe KuNG FU (KiNase Gene FUsion), a manually curated database collecting detailed annotations on KGFs that were identifed and experimentally validated in human cancer cell lines from multiple sources, exclusively focusing on in-frame KGF events retaining an intact kinase domain, representing potentially active driver kinase targets. To our knowledge, KuNG FU represents to date the largest freely accessible homogeneous and curated database of kinase gene fusions in cell line models. Introduction Genomic instability is one of the