Α Are Regulated by Heat Shock Protein 90
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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. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
(12) United States Patent (10) Patent No.: US 8,609,416 B2 Barnett (45) Date of Patent: Dec
USOO8609416B2 (12) United States Patent (10) Patent No.: US 8,609,416 B2 Barnett (45) Date of Patent: Dec. 17, 2013 (54) METHODS AND COMPOSITIONS OTHER PUBLICATIONS COMPRISING HEAT SHOCKPROTEINS Novoselova et al., “Treatment with extracellular HSP70/HSC70 pro (75) Inventor: Michael E. Barnett, Manhattan, KS tein can reduce polyglutamine toxicity and aggregation.” J (US) Neurochem 94:597-606, 2005.* Johnson et al., (1993) Exogenous HSP70 becomes cell associated but (73) Assignee: Ventria Bioscience, Fort Collins, CO not internalized, by stressed arterial Smooth muscle cell. In vitro (US) Cellular and Developmental Biology—Animal, vol. 29A. No. 10, pp. 807-821. (*) Notice: Subject to any disclaimer, the term of this Bethke et al., (2002) Different efficiency of heat shock proteins patent is extended or adjusted under 35 (HSP) to activate human monocytes and dendritic cells; Superiority of U.S.C. 154(b) by 244 days. HSP60, The Journal of Immunology, vol. 169, pp. 6141-6148. Khan et al., (2008) Toll-like receptor 4-mediated growth of (21) Appl. No.: 12/972,112 endometriosis by human heat-shock protein 70, Human Reproduc tion, vol. 23, No. 10, pp. 2210-2219. (22) Filed: Dec. 17, 2010 Lasunskaia E.B., et al., (2003) Transfection of NSO myeloma fusion partner cells with HSP70 gene results in higher hybridoma yield by (65) Prior Publication Data improving cellular resistance to apoptosis, Biotechnology and Bioengineering 81 (4):496-504. US 2011 FO189751A1 Aug. 4, 2011 * cited by examiner Related U.S. Application Data (60) Provisional application No. 61/288,234, filed on Dec. Primary Examiner — Rosanne Kosson 18, 2009. -
The Plasma Peptides of Alzheimer's Disease
Florentinus‑Mefailoski et al. Clin Proteom (2021) 18:17 https://doi.org/10.1186/s12014‑021‑09320‑2 Clinical Proteomics RESEARCH Open Access The plasma peptides of Alzheimer’s disease Angelique Florentinus‑Mefailoski1, Peter Bowden1, Philip Scheltens2, Joep Killestein3, Charlotte Teunissen4 and John G. Marshall1,5* Abstract Background: A practical strategy to discover proteins specifc to Alzheimer’s dementia (AD) may be to compare the plasma peptides and proteins from patients with dementia to normal controls and patients with neurological condi‑ tions like multiple sclerosis or other diseases. The aim was a proof of principle for a method to discover proteins and/ or peptides of plasma that show greater observation frequency and/or precursor intensity in AD. The endogenous tryptic peptides of Alzheimer’s were compared to normals, multiple sclerosis, ovarian cancer, breast cancer, female normal, sepsis, ICU Control, heart attack, along with their institution‑matched controls, and normal samples collected directly onto ice. Methods: Endogenous tryptic peptides were extracted from blinded, individual AD and control EDTA plasma sam‑ ples in a step gradient of acetonitrile for random and independent sampling by LC–ESI–MS/MS with a set of robust and sensitive linear quadrupole ion traps. The MS/MS spectra were ft to fully tryptic peptides within proteins identi‑ fed using the X!TANDEM algorithm. Observation frequency of the identifed proteins was counted using SEQUEST algorithm. The proteins with apparently increased observation frequency in AD versus AD Control were revealed graphically and subsequently tested by Chi Square analysis. The proteins specifc to AD plasma by Chi Square with FDR correction were analyzed by the STRING algorithm. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Protein Stability: a Crystallographer's Perspective
IYCr crystallization series Protein stability: a crystallographer’s perspective Marc C. Deller,a* Leopold Kongb and Bernhard Ruppc,d ISSN 2053-230X aStanford ChEM-H, Macromolecular Structure Knowledge Center, Stanford University, Shriram Center, 443 Via Ortega, Room 097, MC5082, Stanford, CA 94305-4125, USA, bLaboratory of Cell and Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Building 8, Room 1A03, 8 Center Drive, Bethesda, MD 20814, USA, cDepartment of Forensic Crystallography, k.-k. Hofkristallamt, 91 Audrey Place, Vista, CA 92084, USA, and dDepartment of Genetic Epidemiology, Medical University of Innsbruck, Received 27 November 2015 Schopfstrasse 41, A-6020 Innsbruck, Austria. *Correspondence e-mail: [email protected] Accepted 21 December 2015 ¨ Edited by H. M. Einspahr, Lawrenceville, USA Protein stability is a topic of major interest for the biotechnology, pharmaceutical and food industries, in addition to being a daily consideration Keywords: protein stability; protein for academic researchers studying proteins. An understanding of protein crystallization; protein disorder; crystallizability. stability is essential for optimizing the expression, purification, formulation, storage and structural studies of proteins. In this review, discussion will focus on factors affecting protein stability, on a somewhat practical level, particularly from the view of a protein crystallographer. The differences between protein conformational stability and protein -
New Tricks for Old Nods Eric M Pietras* and Genhong Cheng*†‡
Minireview New tricks for old NODs Eric M Pietras* and Genhong Cheng*†‡ Addresses: *Department of Microbiology, Immunology and Molecular Genetics, †Molecular Biology Institute, ‡Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA 90095, USA. Correspondence: Genhong Cheng. Email: [email protected] Published: 25 April 2008 Genome Biology 2008, 9:217 (doi:10.1186/gb-2008-9-4-217) The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2008/9/4/217 © 2008 BioMed Central Ltd Abstract Recent work has identified the human NOD-like receptor NLRX1 as a negative regulator of intracellular signaling leading to type I interferon production. Here we discuss these findings and the questions and implications they raise regarding the function of NOD-like receptors in the antiviral response. Upon infection with a pathogen, the host cell must recognize with a single amino-terminal CARD in the adaptor protein its presence, communicate this to neighboring cells and MAVS (also known as IPS-1, VISA or Cardif), which is tissues and initiate a biological response to limit the spread anchored to the outer mitochondrial membrane [4-7]. MAVS of infection and clear the pathogen. Recognition of invading complexes with the adaptor protein TRAF3, recruiting the microbes proceeds via specialized intracellular and extra- scaffold protein TANK and the IκB kinases (IKKs) TANK- cellular proteins termed pattern recognition receptors (PRRs), binding kinase 1 (TBK1) and IKKε, which activate the trans- which recognize conserved molecular motifs found on patho- cription factor IRF3. IRF3 activation leads to the trans- gens, known as pathogen-associated molecular patterns criptional activation of a number of antiviral genes, includ- (PAMPs). -
Heat Shock Proteins in Vascular Diabetic Complications: Review and Future Perspective
International Journal of Molecular Sciences Review Heat Shock Proteins in Vascular Diabetic Complications: Review and Future Perspective Stefania Bellini 1,†, Federica Barutta 1,†, Raffaella Mastrocola 2 ID , Luigi Imperatore 1, Graziella Bruno 1 and Gabriella Gruden 1,* 1 Laboratory of Diabetic Nephropathy, Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy; [email protected] (S.B.); [email protected] (F.B.); [email protected] (L.I.); [email protected] (G.B.) 2 Department of Clinical and Biological Sciences, University of Turin, Corso Raffaello 30, 10125 Turin, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-011-633-6035 † These authors contribute equally to this work. Received: 27 November 2017; Accepted: 11 December 2017; Published: 14 December 2017 Abstract: Heat shock proteins (HSPs) are a large family of proteins highly conserved throughout evolution because of their unique cytoprotective properties. Besides assisting protein refolding and regulating proteostasis under stressful conditions, HSPs also play an important role in protecting cells from oxidative stress, inflammation, and apoptosis. Therefore, HSPs are crucial in counteracting the deleterious effects of hyperglycemia in target organs of diabetes vascular complications. Changes in HSP expression have been demonstrated in diabetic complications and functionally related to hyperglycemia-induced cell injury. Moreover, associations between diabetic complications and altered circulating levels of both HSPs and anti-HSPs have been shown in clinical studies. HSPs thus represent an exciting therapeutic opportunity and might also be valuable as clinical biomarkers. However, this field of research is still in its infancy and further studies in both experimental diabetes and humans are required to gain a full understanding of HSP relevance. -
Regulation of Caspase-9 by Natural and Synthetic Inhibitors Kristen L
University of Massachusetts Amherst ScholarWorks@UMass Amherst Open Access Dissertations 5-2012 Regulation of Caspase-9 by Natural and Synthetic Inhibitors Kristen L. Huber University of Massachusetts Amherst, [email protected] Follow this and additional works at: https://scholarworks.umass.edu/open_access_dissertations Part of the Chemistry Commons Recommended Citation Huber, Kristen L., "Regulation of Caspase-9 by Natural and Synthetic Inhibitors" (2012). Open Access Dissertations. 554. https://doi.org/10.7275/jr9n-gz79 https://scholarworks.umass.edu/open_access_dissertations/554 This Open Access Dissertation is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Open Access Dissertations by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. REGULATION OF CASPASE-9 BY NATURAL AND SYNTHETIC INHIBITORS A Dissertation Presented by KRISTEN L. HUBER Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY MAY 2012 Chemistry © Copyright by Kristen L. Huber 2012 All Rights Reserved REGULATION OF CASPASE-9 BY NATURAL AND SYNTHETIC INHIBITORS A Dissertation Presented by KRISTEN L. HUBER Approved as to style and content by: _________________________________________ Jeanne A. Hardy, Chair _________________________________________ Lila M. Gierasch, Member _________________________________________ Robert M. Weis, -
Downloaded 18 July 2014 with a 1% False Discovery Rate (FDR)
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer Permalink https://escholarship.org/uc/item/0t47b9ws Author Spiciarich, David Publication Date 2017 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer by David Spiciarich A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Chemistry in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Carolyn R. Bertozzi, Co-Chair Professor David E. Wemmer, Co-Chair Professor Matthew B. Francis Professor Amy E. Herr Fall 2017 Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer © 2017 by David Spiciarich Abstract Chemical glycoproteomics for identification and discovery of glycoprotein alterations in human cancer by David Spiciarich Doctor of Philosophy in Chemistry University of California, Berkeley Professor Carolyn R. Bertozzi, Co-Chair Professor David E. Wemmer, Co-Chair Changes in glycosylation have long been appreciated to be part of the cancer phenotype; sialylated glycans are found at elevated levels on many types of cancer and have been implicated in disease progression. However, the specific glycoproteins that contribute to cell surface sialylation are not well characterized, specifically in bona fide human cancer. Metabolic and bioorthogonal labeling methods have previously enabled enrichment and identification of sialoglycoproteins from cultured cells and model organisms. The goal of this work was to develop technologies that can be used for detecting changes in glycoproteins in clinical models of human cancer. -
A Master Autoantigen-Ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. 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. A Master Autoantigen-ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases Julia Y. Wang1*, Michael W. Roehrl1, Victor B. Roehrl1, and Michael H. Roehrl2* 1 Curandis, New York, USA 2 Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA * Correspondence: [email protected] or [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. 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. Abstract Chronic and debilitating autoimmune sequelae pose a grave concern for the post-COVID-19 pandemic era. Based on our discovery that the glycosaminoglycan dermatan sulfate (DS) displays peculiar affinity to apoptotic cells and autoantigens (autoAgs) and that DS-autoAg complexes cooperatively stimulate autoreactive B1 cell responses, we compiled a database of 751 candidate autoAgs from six human cell types. At least 657 of these have been found to be affected by SARS-CoV-2 infection based on currently available multi-omic COVID data, and at least 400 are confirmed targets of autoantibodies in a wide array of autoimmune diseases and cancer.