Ankrd9 Is a Metabolically-Controlled Regulator of Impdh2 Abundance and Macro-Assembly
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Datasheet CST 98287
C 0 2 - t CTPS1 Antibody a e r o t S Orders: 877-616-CELL (2355) [email protected] 7 Support: 877-678-TECH (8324) 8 2 Web: [email protected] 8 www.cellsignal.com 9 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source: UniProt ID: Entrez-Gene Id: WB H Endogenous 78 Rabbit P17812 1503 Product Usage Information Application Dilution Western Blotting 1:1000 Storage Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA and 50% glycerol. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity CTPS1 Antibody recognizes endogenous levels of total CTPS1 protein. This antibody does not cross-react with CTPS2 protein. Species Reactivity: Human Source / Purification Polyclonal antibodies are produced by immunizing animals with a synthetic peptide corresponding to residues surrounding Ala340 of human CTPS1 protein. Antibodies are purified by peptide affinity chromatography. Background CTPS1 (cytidine triphosphate synthase 1 or CTP synthase 1) catalyzes the conversion of UTP to CTP through ATP-dependent amination (1). Research studies show that pyrimidine biosynthesis is upregulated in pancreatic cancer cell models of resistance to gemcitabine, a deoxycytidine analog. Increased pyrimidine biosynthesis leads to elevated levels of endogenous dCTP, which outcompetes gemcitabine from incorporating into DNA during replication and, therefore, reduces the anti-cancer effectiveness of gemcitabine. Induction of CTPS1 expression was observed in gemcitabine-resistant pancreatic cancer cell models. Gemcitabine resistance directly correlates with CTPS1 expression levels in various pancreatic cancer cell lines (2). -
Linked Mental Retardation Detected by Array CGH
JMG Online First, published on September 16, 2005 as 10.1136/jmg.2005.036178 J Med Genet: first published as 10.1136/jmg.2005.036178 on 16 September 2005. Downloaded from Chromosomal copy number changes in patients with non-syndromic X- linked mental retardation detected by array CGH D Lugtenberg1, A P M de Brouwer1, T Kleefstra1, A R Oudakker1, S G M Frints2, C T R M Schrander- Stumpel2, J P Fryns3, L R Jensen4, J Chelly5, C Moraine6, G Turner7, J A Veltman1, B C J Hamel1, B B A de Vries1, H van Bokhoven1, H G Yntema1 1Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 2Department of Clinical Genetics, University Hospital Maastricht, Maastricht, The Netherlands; 3Center for Human Genetics, University of Leuven, Leuven, Belgium; 4Max Planck Institute for Molecular Genetics, Berlin, Germany; 5INSERM 129-ICGM, Faculté de Médecine Cochin, Paris, France; 6Service de Génétique et INSERM U316, Hôpital Bretonneau, Tours, France; 7 GOLD Program, Hunter Genetics, University of Newcastle, Callaghan, New South Wales 2308, Australia http://jmg.bmj.com/ Corresponding author: on October 2, 2021 by guest. Protected copyright. Helger G. Yntema, PhD Department of Human Genetics Radboud University Nijmegen Medical Centre P.O. Box 9101 6500 HB Nijmegen The Netherlands E-mail: [email protected] tel: +31-24-3613799 fax: +31-24-3616658 1 Copyright Article author (or their employer) 2005. Produced by BMJ Publishing Group Ltd under licence. J Med Genet: first published as 10.1136/jmg.2005.036178 on 16 September 2005. Downloaded from ABSTRACT Introduction: Several studies have shown that array based comparative genomic hybridization (array CGH) is a powerful tool for the detection of copy number changes in the genome of individuals with a congenital disorder. -
An Amplified Fatty Acid-Binding Protein Gene Cluster In
cancers Review An Amplified Fatty Acid-Binding Protein Gene Cluster in Prostate Cancer: Emerging Roles in Lipid Metabolism and Metastasis Rong-Zong Liu and Roseline Godbout * Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB T6G 1Z2, Canada; [email protected] * Correspondence: [email protected]; Tel.: +1-780-432-8901 Received: 6 November 2020; Accepted: 16 December 2020; Published: 18 December 2020 Simple Summary: Prostate cancer is the second most common cancer in men. In many cases, prostate cancer grows very slowly and remains confined to the prostate. These localized cancers can usually be cured. However, prostate cancer can also metastasize to other organs of the body, which often results in death of the patient. We found that a cluster of genes involved in accumulation and utilization of fats exists in multiple copies and is expressed at much higher levels in metastatic prostate cancer compared to localized disease. These genes, called fatty acid-binding protein (or FABP) genes, individually and collectively, promote properties associated with prostate cancer metastasis. We propose that levels of these FABP genes may serve as an indicator of prostate cancer aggressiveness, and that inhibiting the action of FABP genes may provide a new approach to prevent and/or treat metastatic prostate cancer. Abstract: Treatment for early stage and localized prostate cancer (PCa) is highly effective. Patient survival, however, drops dramatically upon metastasis due to drug resistance and cancer recurrence. The molecular mechanisms underlying PCa metastasis are complex and remain unclear. It is therefore crucial to decipher the key genetic alterations and relevant molecular pathways driving PCa metastatic progression so that predictive biomarkers and precise therapeutic targets can be developed. -
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. -
Repeat Proteins Challenge the Concept of Structural Domains
844 Biochemical Society Transactions (2015) Volume 43, part 5 Repeat proteins challenge the concept of structural domains Rocıo´ Espada*1, R. Gonzalo Parra*1, Manfred J. Sippl†, Thierry Mora‡, Aleksandra M. Walczak§ and Diego U. Ferreiro*2 *Protein Physiology Lab, Dep de Qu´ımica Biologica, ´ Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN, Buenos Aires, C1430EGA, Argentina †Center of Applied Molecular Engineering, Division of Bioinformatics, Department of Molecular Biology, University of Salzburg, 5020 Salzburg, Austria ‡Laboratoire de physique statistique, CNRS, UPMC and Ecole normale superieure, ´ 24 rue Lhomond, 75005 Paris, France §Laboratoire de physique theorique, ´ CNRS, UPMC and Ecole normale superieure, ´ 24 rue Lhomond, 75005 Paris, France Abstract Structural domains are believed to be modules within proteins that can fold and function independently. Some proteins show tandem repetitions of apparent modular structure that do not fold independently, but rather co-operate in stabilizing structural forms that comprise several repeat-units. For many natural repeat-proteins, it has been shown that weak energetic links between repeats lead to the breakdown of co-operativity and the appearance of folding sub-domains within an apparently regular repeat array. The quasi-1D architecture of repeat-proteins is crucial in detailing how the local energetic balances can modulate the folding dynamics of these proteins, which can be related to the physiological behaviour of these ubiquitous biological systems. Introduction and between repeats, challenging the concept of structural It was early on noted that many natural proteins typically domain. collapse stretches of amino acid chains into compact units, defining structural domains [1]. These domains typically correlate with biological activities and many modern proteins can be described as composed by novel ‘domain arrange- Definition of the repeat-units ments’ [2]. -
A Structural Guide to Proteins of the NF-Kb Signaling Module
Downloaded from http://cshperspectives.cshlp.org/ on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press A Structural Guide to Proteins of the NF-kB Signaling Module Tom Huxford1 and Gourisankar Ghosh2 1Department of Chemistry and Biochemistry, San Diego State University, 5500 Campanile Drive, San Diego, California 92182-1030 2Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093-0375 Correspondence: [email protected] The prosurvival transcription factor NF-kB specifically binds promoter DNA to activate target gene expression. NF-kB is regulated through interactions with IkB inhibitor proteins. Active proteolysis of these IkB proteins is, in turn, under the control of the IkB kinase complex (IKK). Together, these three molecules form the NF-kB signaling module. Studies aimed at charac- terizing the molecular mechanisms of NF-kB, IkB, and IKK in terms of their three-dimen- sional structures have lead to a greater understanding of this vital transcription factor system. F-kB is a master transcription factor that from the perspective of their three-dimensional Nresponds to diverse cell stimuli by activat- structures. ing the expression of stress response genes. Multiple signals, including cytokines, growth factors, engagement of the T-cell receptor, and NF-kB bacterial and viral products, induce NF-kB Introduction to NF-kB transcriptional activity (Hayden and Ghosh 2008). A point of convergence for the myriad NF-kB was discovered in the laboratory of of NF-kB inducing signals is the IkB kinase David Baltimore as a nuclear activity with bind- complex (IKK). Active IKK in turn controls ing specificity toward a ten-base-pair DNA transcription factor NF-kB by regulating pro- sequence 50-GGGACTTTCC-30 present within teolysis of the IkB inhibitor protein (Fig. -
Supp. Table S2: Domains and Protein Families with a Putative Role in Host-Symbiont Interactions
Supp. Table S2: Domains and protein families with a putative role in host-symbiont interactions. The domains and protein families listed here were included in the comparisons in Figure 5 and Supp. Figure S5, which show the percentage of the respective protein groups in the Riftia symbiont metagenome and in metagenomes of other symbiotic and free-living organisms. % bacterial, total number bacterial: Percentage and total number of bacterial species in which this domain is found in the SMART database (January 2019). Domain name Pfam/SMART % bacterial (total Literature/comment annotation number bacterial) Alpha-2- alpha-2- A2M: 42.05% (2057) A2Ms: protease inhibitors which are important for eukaryotic macroglobulin macroglobulin innate immunity, if present in prokaryotes apparently fulfill a family (A2M), similar role, e.g. protection against host proteases (1) including N- terminal MG1 domain ANAPC Anaphase- APC2: 0 Ubiquitin ligase, important for cell cycle control in eukaryotes (2) promoting complex Bacterial proteins might interact with ubiquitination pathways in subunits the host (3) Ankyrin Ankyrin repeats 10.88% (8348) Mediate protein-protein interactions without sequence specificity (4) Sponge symbiont ankyrin-repeat proteins inhibit amoebal phagocytosis (5) Present in sponge microbiome metatranscriptomes, putative role in symbiont-host interactions (6) Present in obligate intracellular amoeba symbiont Candidatus Amoebophilus asiaticus genome, probable function in interactions with the host (7) Armadillo Armadillo repeats 0.83% (67) -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Downloaded the “Top Edge” Version
bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 1 Drosophila models of pathogenic copy-number variant genes show global and 2 non-neuronal defects during development 3 Short title: Non-neuronal defects of fly homologs of CNV genes 4 Tanzeen Yusuff1,4, Matthew Jensen1,4, Sneha Yennawar1,4, Lucilla Pizzo1, Siddharth 5 Karthikeyan1, Dagny J. Gould1, Avik Sarker1, Yurika Matsui1,2, Janani Iyer1, Zhi-Chun Lai1,2, 6 and Santhosh Girirajan1,3* 7 8 1. Department of Biochemistry and Molecular Biology, Pennsylvania State University, 9 University Park, PA 16802 10 2. Department of Biology, Pennsylvania State University, University Park, PA 16802 11 3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802 12 4 contributed equally to work 13 14 *Correspondence: 15 Santhosh Girirajan, MBBS, PhD 16 205A Life Sciences Building 17 Pennsylvania State University 18 University Park, PA 16802 19 E-mail: [email protected] 20 Phone: 814-865-0674 21 1 bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 22 ABSTRACT 23 While rare pathogenic copy-number variants (CNVs) are associated with both neuronal and non- 24 neuronal phenotypes, functional studies evaluating these regions have focused on the molecular 25 basis of neuronal defects. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Temporal Proteomic Analysis of HIV Infection Reveals Remodelling of The
1 1 Temporal proteomic analysis of HIV infection reveals 2 remodelling of the host phosphoproteome 3 by lentiviral Vif variants 4 5 Edward JD Greenwood 1,2,*, Nicholas J Matheson1,2,*, Kim Wals1, Dick JH van den Boomen1, 6 Robin Antrobus1, James C Williamson1, Paul J Lehner1,* 7 1. Cambridge Institute for Medical Research, Department of Medicine, University of 8 Cambridge, Cambridge, CB2 0XY, UK. 9 2. These authors contributed equally to this work. 10 *Correspondence: [email protected]; [email protected]; [email protected] 11 12 Abstract 13 Viruses manipulate host factors to enhance their replication and evade cellular restriction. 14 We used multiplex tandem mass tag (TMT)-based whole cell proteomics to perform a 15 comprehensive time course analysis of >6,500 viral and cellular proteins during HIV 16 infection. To enable specific functional predictions, we categorized cellular proteins regulated 17 by HIV according to their patterns of temporal expression. We focussed on proteins depleted 18 with similar kinetics to APOBEC3C, and found the viral accessory protein Vif to be 19 necessary and sufficient for CUL5-dependent proteasomal degradation of all members of the 20 B56 family of regulatory subunits of the key cellular phosphatase PP2A (PPP2R5A-E). 21 Quantitative phosphoproteomic analysis of HIV-infected cells confirmed Vif-dependent 22 hyperphosphorylation of >200 cellular proteins, particularly substrates of the aurora kinases. 23 The ability of Vif to target PPP2R5 subunits is found in primate and non-primate lentiviral 2 24 lineages, and remodeling of the cellular phosphoproteome is therefore a second ancient and 25 conserved Vif function.