The Interplay Between the RNA Decay and Translation Machinery in Eukaryotes
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Supplementary Data
Supplementary Data for Quantitative Changes in the Mitochondrial Proteome from Subjects with Mild Cognitive Impairment, Early Stage and Late Stage Alzheimer’s disease Table 1 - 112 unique, non-redundant proteins identified and quantified in at least two of the three analytical replicates for all three disease stages. Table 2 - MCI mitochondrial samples, Protein Summary Table 3 - MCI mitochondrial samples, Experiment 1 Table 4 - MCI mitochondrial samples, Experiment 2 Table 5 - MCI mitochondrial samples, Experiment 3 Table 6 - EAD Mitochondrial Study, Protein Summary Table 7 - EAD Mitochondrial Study, Experiment 1 Table 8 - EAD Mitochondrial Study, Experiment 2 Table 9 - EAD Mitochondrial Study, Experiment 3 Table 10 - LAD Mitochondrial Study, Protein Summary Table 11 - LAD Mitochondrial Study, Experiment 1 Table 12 - LAD Mitochondrial Study, Experiment 2 Table 13 - LAD Mitochondrial Study, Experiment 3 Supplemental Table 1. 112 unique, non-redundant proteins identified and quantified in at least two of the three analytical replicates for all three disease stages. Description Data MCI EAD LAD AATM_HUMAN (P00505) Aspartate aminotransferase, mitochondrial precursor (EC Mean 1.43 1.70 1.31 2.6.1.1) (Transaminase A) (Glutamate oxaloacetate transaminase 2) [MASS=47475] SEM 0.07 0.09 0.09 Count 3.00 3.00 3.00 ACON_HUMAN (Q99798) Aconitate hydratase, mitochondrial precursor (EC 4.2.1.3) Mean 1.24 1.61 1.19 (Citrate hydro-lyase) (Aconitase) [MASS=85425] SEM 0.05 0.17 0.18 Count 3.00 2.00 3.00 ACPM_HUMAN (O14561) Acyl carrier protein, mitochondrial -
Lysophosphatidic Acid and Its Receptors: Pharmacology and Therapeutic Potential in Atherosclerosis and Vascular Disease
JPT-107404; No of Pages 13 Pharmacology & Therapeutics xxx (2019) xxx Contents lists available at ScienceDirect Pharmacology & Therapeutics journal homepage: www.elsevier.com/locate/pharmthera Lysophosphatidic acid and its receptors: pharmacology and therapeutic potential in atherosclerosis and vascular disease Ying Zhou a, Peter J. Little a,b, Hang T. Ta a,c, Suowen Xu d, Danielle Kamato a,b,⁎ a School of Pharmacy, University of Queensland, Pharmacy Australia Centre of Excellence, Woolloongabba, QLD 4102, Australia b Department of Pharmacy, Xinhua College of Sun Yat-sen University, Tianhe District, Guangzhou 510520, China c Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, St Lucia, QLD 4072, Australia d Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA article info abstract Available online xxxx Lysophosphatidic acid (LPA) is a collective name for a set of bioactive lipid species. Via six widely distributed G protein-coupled receptors (GPCRs), LPA elicits a plethora of biological responses, contributing to inflammation, Keywords: thrombosis and atherosclerosis. There have recently been considerable advances in GPCR signaling especially Lysophosphatidic acid recognition of the extended role for GPCR transactivation of tyrosine and serine/threonine kinase growth factor G-protein coupled receptors receptors. This review covers LPA signaling pathways in the light of new information. The use of transgenic and Atherosclerosis gene knockout animals, gene manipulated cells, pharmacological LPA receptor agonists and antagonists have Gproteins fi β-arrestins provided many insights into the biological signi cance of LPA and individual LPA receptors in the progression Transactivation of atherosclerosis and vascular diseases. -
The Autotaxin–Lysophosphatidic Acid Axis Modulates Histone Acetylation and Gene Expression During Oligodendrocyte Differentiation
The Journal of Neuroscience, August 12, 2015 • 35(32):11399–11414 • 11399 Cellular/Molecular The Autotaxin–Lysophosphatidic Acid Axis Modulates Histone Acetylation and Gene Expression during Oligodendrocyte Differentiation Natalie A. Wheeler,1 James A. Lister,2 and Babette Fuss1 Departments of 1Anatomy and Neurobiology and 2Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia 23298 During development, oligodendrocytes (OLGs), the myelinating cells of the CNS, undergo a stepwise progression during which OLG progenitors, specified from neural stem/progenitor cells, differentiate into fully mature myelinating OLGs. This progression along the OLG lineage is characterized by well synchronized changes in morphology and gene expression patterns. The latter have been found to be particularly critical during the early stages of the lineage, and they have been well described to be regulated by epigenetic mechanisms, especially by the activity of the histone deacetylases HDAC1 and HDAC2. The data presented here identify the extracellular factor autotaxin (ATX) as a novel upstream signal modulating HDAC1/2 activity and gene expression in cells of the OLG lineage. Using the zebrafish as an in vivo model system as well as rodent primary OLG cultures, this functional property of ATX was found to be mediated by its lysophospholipase D (lysoPLD) activity, which has been well characterized to generate the lipid signaling molecule lysophosphatidic acid (LPA). More specifically, the lysoPLD activity of ATX was found to modulate HDAC1/2 regulated gene expression during a time window coinciding with the transition from OLG progenitor to early differentiating OLG. In contrast, HDAC1/2 regulated gene expression during the transition from neural stem/progenitor to OLG progenitor appeared unaffected by ATX and its lysoPLD activity. -
An Interactomics Overview of the Human and Bovine Milk Proteome Over Lactation Lina Zhang1, Aalt D
Zhang et al. Proteome Science (2017) 15:1 DOI 10.1186/s12953-016-0110-0 RESEARCH Open Access An interactomics overview of the human and bovine milk proteome over lactation Lina Zhang1, Aalt D. J. van Dijk2,3,4 and Kasper Hettinga1* Abstract Background: Milk is the most important food for growth and development of the neonate, because of its nutrient composition and presence of many bioactive proteins. Differences between human and bovine milk in low abundant proteins have not been extensively studied. To better understand the differences between human and bovine milk, the qualitative and quantitative differences in the milk proteome as well as their changes over lactation were compared using both label-free and labelled proteomics techniques. These datasets were analysed and compared, to better understand the role of milk proteins in development of the newborn. Methods: Human and bovine milk samples were prepared by using filter-aided sample preparation (FASP) combined with dimethyl labelling and analysed by nano LC LTQ-Orbitrap XL mass spectrometry. Results: The human and bovine milk proteome show similarities with regard to the distribution over biological functions, especially the dominant presence of enzymes, transport and immune-related proteins. At a quantitative level, the human and bovine milk proteome differed not only between species but also over lactation within species. Dominant enzymes that differed between species were those assisting in nutrient digestion, with bile salt- activated lipase being abundant in human milk and pancreatic ribonuclease being abundant in bovine milk. As lactation advances, immune-related proteins decreased slower in human milk compared to bovine milk. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
Antibody Response Cell Antigen Receptor Signaling And
Lysophosphatidic Acid Receptor 5 Inhibits B Cell Antigen Receptor Signaling and Antibody Response This information is current as Jiancheng Hu, Shannon K. Oda, Kristin Shotts, Erin E. of September 24, 2021. Donovan, Pamela Strauch, Lindsey M. Pujanauski, Francisco Victorino, Amin Al-Shami, Yuko Fujiwara, Gabor Tigyi, Tamas Oravecz, Roberta Pelanda and Raul M. Torres J Immunol 2014; 193:85-95; Prepublished online 2 June 2014; Downloaded from doi: 10.4049/jimmunol.1300429 http://www.jimmunol.org/content/193/1/85 Supplementary http://www.jimmunol.org/content/suppl/2014/05/31/jimmunol.130042 http://www.jimmunol.org/ Material 9.DCSupplemental References This article cites 63 articles, 17 of which you can access for free at: http://www.jimmunol.org/content/193/1/85.full#ref-list-1 Why The JI? Submit online. by guest on September 24, 2021 • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2014 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Lysophosphatidic Acid Receptor 5 Inhibits B Cell Antigen Receptor Signaling and Antibody Response Jiancheng Hu,*,1,2 Shannon K. -
Deamidation of Human Proteins
Deamidation of human proteins N. E. Robinson*† and A. B. Robinson‡ *Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125; and ‡Oregon Institute of Science and Medicine, Cave Junction, OR 97523 Communicated by Frederick Seitz, The Rockefeller University, New York, NY, August 31, 2001 (received for review May 8, 2001) Deamidation of asparaginyl and glutaminyl residues causes time- 3D structure is known (23). This method is more than 95% dependent changes in charge and conformation of peptides and reliable in predicting relative deamidation rates of Asn residues proteins. Quantitative and experimentally verified predictive cal- within a single protein and is also useful for the prediction of culations of the deamidation rates of 1,371 asparaginyl residues in absolute deamidation rates. a representative collection of 126 human proteins have been It is, therefore, now possible to compute the expected deami- performed. These rates suggest that deamidation is a biologically dation rate of any protein for which the primary and 3D relevant phenomenon in a remarkably large percentage of human structures are known, except for very long-lived proteins. These proteins. proteins require measurement of the 400 Gln pentapeptide rates. in vivo deamidation ͉ asparaginyl residues Materials and Methods Calculation Method. The Brookhaven Protein Data Bank (PDB) eamidation of asparaginyl (Asn) and glutaminyl (Gln) was searched to select 126 human proteins of general biochem- Dresidues to produce aspartyl (Asp) and glutamyl (Glu) ical interest and of known 3D structure without bias toward any residues causes structurally and biologically important alter- known data about their deamidation, except for 13 proteins (as ations in peptide and protein structures. -
Survival-Associated Metabolic Genes in Colon and Rectal Cancers
Survival-associated Metabolic Genes in Colon and Rectal Cancers Yanfen Cui ( [email protected] ) Tianjin Cancer Institute: Tianjin Tumor Hospital https://orcid.org/0000-0001-7760-7503 Baoai Han tianjin tumor hospital He Zhang tianjin tumor hospital Zhiyong Wang tianjin tumor hospital Hui Liu tianjin tumor hospital Fei Zhang tianjin tumor hospital Ruifang Niu tianjin tumor hospital Research Keywords: colon cancer, rectal cancer, prognosis, metabolism Posted Date: December 4th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-117478/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/42 Abstract Background Uncontrolled proliferation is the most prominent biological feature of tumors. To rapidly proliferate and maximize the use of available nutrients, tumor cells regulate their metabolic behavior and the expression of metabolism-related genes (MRGs). In this study, we aimed to construct prognosis models for colon and rectal cancers, using MRGs to indicate the prognoses of patients. Methods We rst acquired the gene expression proles of colon and rectal cancers from the TCGA and GEO database, and utilized univariate Cox analysis, lasso regression, and multivariable cox analysis to identify MRGs for risk models. Then GSEA and KEGG functional enrichment analysis were utilized to identify the metabolism pathway of MRGs in the risk models and analyzed these genes comprehensively using GSCALite. Results Eight genes (CPT1C, PLCB2, PLA2G2D, GAMT, ENPP2, PIP4K2B, GPX3, and GSR) in the colon cancer risk model and six genes (TDO2, PKLR, GAMT, EARS2, ACO1, and WAS) in the rectal cancer risk model were identied successfully. Multivariate Cox analysis indicated that the models predicted overall survival accurately and independently for patients with colon or rectal cancer. -
Phosphodiesterase (PDE)
Phosphodiesterase (PDE) Phosphodiesterase (PDE) is any enzyme that breaks a phosphodiester bond. Usually, people speaking of phosphodiesterase are referring to cyclic nucleotide phosphodiesterases, which have great clinical significance and are described below. However, there are many other families of phosphodiesterases, including phospholipases C and D, autotaxin, sphingomyelin phosphodiesterase, DNases, RNases, and restriction endonucleases, as well as numerous less-well-characterized small-molecule phosphodiesterases. The cyclic nucleotide phosphodiesterases comprise a group of enzymes that degrade the phosphodiester bond in the second messenger molecules cAMP and cGMP. They regulate the localization, duration, and amplitude of cyclic nucleotide signaling within subcellular domains. PDEs are therefore important regulators ofsignal transduction mediated by these second messenger molecules. www.MedChemExpress.com 1 Phosphodiesterase (PDE) Inhibitors, Activators & Modulators (+)-Medioresinol Di-O-β-D-glucopyranoside (R)-(-)-Rolipram Cat. No.: HY-N8209 ((R)-Rolipram; (-)-Rolipram) Cat. No.: HY-16900A (+)-Medioresinol Di-O-β-D-glucopyranoside is a (R)-(-)-Rolipram is the R-enantiomer of Rolipram. lignan glucoside with strong inhibitory activity Rolipram is a selective inhibitor of of 3', 5'-cyclic monophosphate (cyclic AMP) phosphodiesterases PDE4 with IC50 of 3 nM, 130 nM phosphodiesterase. and 240 nM for PDE4A, PDE4B, and PDE4D, respectively. Purity: >98% Purity: 99.91% Clinical Data: No Development Reported Clinical Data: No Development Reported Size: 1 mg, 5 mg Size: 10 mM × 1 mL, 10 mg, 50 mg (R)-DNMDP (S)-(+)-Rolipram Cat. No.: HY-122751 ((+)-Rolipram; (S)-Rolipram) Cat. No.: HY-B0392 (R)-DNMDP is a potent and selective cancer cell (S)-(+)-Rolipram ((+)-Rolipram) is a cyclic cytotoxic agent. (R)-DNMDP, the R-form of DNMDP, AMP(cAMP)-specific phosphodiesterase (PDE) binds PDE3A directly. -
Macrophages/Microglia in the Glioblastoma Tumor Microenvironment
International Journal of Molecular Sciences Review Macrophages/Microglia in the Glioblastoma Tumor Microenvironment Jun Ma, Clark C. Chen * and Ming Li * Department of Neurosurgery, University of Minnesota, Minneapolis, MN 55455, USA; [email protected] * Correspondence: [email protected] (C.C.C.); [email protected] (M.L.) Abstract: The complex interaction between glioblastoma and its microenvironment has been rec- ognized for decades. Among various immune profiles, the major population is tumor-associated macrophage, with microglia as its localized homolog. The present definition of such myeloid cells is based on a series of cell markers. These good sentinel cells experience significant changes, facilitat- ing glioblastoma development and protecting it from therapeutic treatments. Huge, complicated mechanisms are involved during the overall processes. A lot of effort has been dedicated to crack the mysterious codes in macrophage/microglia recruiting, activating, reprogramming, and functioning. We have made our path. With more and more key factors identified, a lot of new therapeutic methods could be explored to break the ominous loop, to enhance tumor sensitivity to treatments, and to improve the prognosis of glioblastoma patients. However, it might be a synergistic system rather than a series of clear, stepwise events. There are still significant challenges before the light of truth can shine onto the field. Here, we summarize recent advances in this field, reviewing the path we have been on and where we are now. Keywords: glioblastoma; tumor microenvironment; glioblastoma-associated macrophages/microglia; macrophage; microglia Citation: Ma, J.; Chen, C.C.; Li, M. Macrophages/Microglia in the Glioblastoma Tumor Int. J. Mol. Sci. Microenvironment. 1. Glioblastoma Associated Macrophages/Microglia 2021, 22, 5775. -
(12) Patent Application Publication (10) Pub. No.: US 2003/0082511 A1 Brown Et Al
US 20030082511A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2003/0082511 A1 Brown et al. (43) Pub. Date: May 1, 2003 (54) IDENTIFICATION OF MODULATORY Publication Classification MOLECULES USING INDUCIBLE PROMOTERS (51) Int. Cl." ............................... C12O 1/00; C12O 1/68 (52) U.S. Cl. ..................................................... 435/4; 435/6 (76) Inventors: Steven J. Brown, San Diego, CA (US); Damien J. Dunnington, San Diego, CA (US); Imran Clark, San Diego, CA (57) ABSTRACT (US) Correspondence Address: Methods for identifying an ion channel modulator, a target David B. Waller & Associates membrane receptor modulator molecule, and other modula 5677 Oberlin Drive tory molecules are disclosed, as well as cells and vectors for Suit 214 use in those methods. A polynucleotide encoding target is San Diego, CA 92121 (US) provided in a cell under control of an inducible promoter, and candidate modulatory molecules are contacted with the (21) Appl. No.: 09/965,201 cell after induction of the promoter to ascertain whether a change in a measurable physiological parameter occurs as a (22) Filed: Sep. 25, 2001 result of the candidate modulatory molecule. Patent Application Publication May 1, 2003 Sheet 1 of 8 US 2003/0082511 A1 KCNC1 cDNA F.G. 1 Patent Application Publication May 1, 2003 Sheet 2 of 8 US 2003/0082511 A1 49 - -9 G C EH H EH N t R M h so as se W M M MP N FIG.2 Patent Application Publication May 1, 2003 Sheet 3 of 8 US 2003/0082511 A1 FG. 3 Patent Application Publication May 1, 2003 Sheet 4 of 8 US 2003/0082511 A1 KCNC1 ITREXCHO KC 150 mM KC 2000000 so 100 mM induced Uninduced Steady state O 100 200 300 400 500 600 700 Time (seconds) FIG. -
MALE Protein Name Accession Number Molecular Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean H Mean PDAC Mean T-Test PDAC Vs. H T-Test
MALE t-test t-test Accession Molecular H PDAC PDAC vs. PDAC vs. Protein Name Number Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean Mean Mean H CP PDAC/H PDAC/CP - 22 kDa protein IPI00219910 22 kDa 7 5 4 8 1 0 6 6 1 0.1126 0.0456 0.1 0.1 - Cold agglutinin FS-1 L-chain (Fragment) IPI00827773 12 kDa 32 39 34 26 53 57 36 30 55 0.0309 0.0388 1.8 1.5 - HRV Fab 027-VL (Fragment) IPI00827643 12 kDa 4 6 0 0 0 0 5 0 0 - 0.0574 - 0.0 - REV25-2 (Fragment) IPI00816794 15 kDa 8 12 5 7 8 9 10 6 8 0.2225 0.3844 1.3 0.8 A1BG Alpha-1B-glycoprotein precursor IPI00022895 54 kDa 115 109 106 112 111 100 112 109 105 0.6497 0.4138 1.0 0.9 A2M Alpha-2-macroglobulin precursor IPI00478003 163 kDa 62 63 86 72 14 18 63 79 16 0.0120 0.0019 0.2 0.3 ABCB1 Multidrug resistance protein 1 IPI00027481 141 kDa 41 46 23 26 52 64 43 25 58 0.0355 0.1660 2.4 1.3 ABHD14B Isoform 1 of Abhydrolase domain-containing proteinIPI00063827 14B 22 kDa 19 15 19 17 15 9 17 18 12 0.2502 0.3306 0.7 0.7 ABP1 Isoform 1 of Amiloride-sensitive amine oxidase [copper-containing]IPI00020982 precursor85 kDa 1 5 8 8 0 0 3 8 0 0.0001 0.2445 0.0 0.0 ACAN aggrecan isoform 2 precursor IPI00027377 250 kDa 38 30 17 28 34 24 34 22 29 0.4877 0.5109 1.3 0.8 ACE Isoform Somatic-1 of Angiotensin-converting enzyme, somaticIPI00437751 isoform precursor150 kDa 48 34 67 56 28 38 41 61 33 0.0600 0.4301 0.5 0.8 ACE2 Isoform 1 of Angiotensin-converting enzyme 2 precursorIPI00465187 92 kDa 11 16 20 30 4 5 13 25 5 0.0557 0.0847 0.2 0.4 ACO1 Cytoplasmic aconitate hydratase IPI00008485 98 kDa 2 2 0 0 0 0 2 0 0 - 0.0081 - 0.0