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The effect of cigarette smoke exposure on the proteomic composition of human bronchial epithelial cell airway surface liquid Linsey E Haswell 1, Wanda Fields 2, Laetitia Cortes 3, Pascal Croteau 3, Laura McIntosh 3, Daniel Chelsky 3 Clive Meredith 1 and Gary Phillips 1 1British American Tobacco, Group Research and Development, Southampton, SO15 8TL, UK, 2R. J. Reynolds Tobacco Co, Abstract Nº: 1530 3 Poster Board Nº: 146 Research & Development, Winston-Salem, North Carolina, USA and Caprion Proteomics Inc, Montréal, Québec, Canada Corresponding email: [email protected] Introduction Misc. Lipid metabolism Translation 5% Extracellular region 3% 2% Protein DI A B Protein DI A B Protein DI A B 14% The conducting airway epithelium is covered by a thin layer of liquid known as the airway surface Nuclear organization - Transcription HNRNPD 1491.81 X AKR1C2 3.20 X X PSMA7 2.66 X X 4% liquid (ASL). The ASL plays an important defensive role against inhaled particles and chemicals CD109 4.39 X X S100A9 3.12 X X PSMA8 2.66 X X Protein degradation such as cigarette smoke. Human bronchial epithelial cells (HBECs) cultured in vitro at the air- 5% SERPINA3 4.35 X X S100P 3.04 X X CALM1 2.61 X X Inflammation - FUT3 3.85 X X KRT4 3.01 X X S100A11 2.58 X Immune response FUT5 3.85 X X CTSD 2.80 X X CCL20 2.55 X liquid interface secrete mucins and other proteins from their apical surface which are thought to Calcium ion binding 13% 7% FUT6 3.85 X X SERPINA1 2.77 X X PRSS3 2.36 X X mimic the ASL observed in vivo . Mass spectrometry (MS) based proteomics is a technique that is PLUNC 3.70 X X PSME1 2.75 X X KRT9 2.36 X X S100A8 3.51 X X ANXA5 2.69 X X FTH1 2.35 X capable of detecting patterns of secreted proteins in either in vitro or in vivo samples, such as Redox homeostasis - S100A6 3.40 X X KLK13 2.68 X X YWHAQ 2.30 X Stress response ASL or sputum. To verify and quantify selected proteins that could be differentially secreted in the 7% CAPN1 3.27 X X IL8 2.67 X X LDHA 2.30 X Signaling ASL of cultured HBECs, a quantitative mass spectrometry based, multiple reaction monitoring 13% Energy metabolism Table 2. Top 30 proteins differentially secreted following smoke exposure at 48 hours in the low dose vs. air 8% (MRM) assay was developed. This assay offers a fast and cost-effective alternative to Cell adhesion - Wound control comparison. [A] 40% significant peptides (q-value < 0.1) with DI in the same direction (all above or Cytoskeleton healing immunoassays for following panels of potential protein biomarkers. The aim of the current study 8% 11% below 1). [B] 80% of the peptides with DI in the same direction and median DI greater than 1.4. X indicates the was to develop an MRM assay and to identify changes in the protein composition of HBEC ASL specified criteria are met. Figure 1. Biological processes (Entrez GO) associated with ASL proteins in all treatments groups following exposure to cigarette smoke. Effect of cigarette smoke on the ASL proteome Gene Gene Gene Gene Gene Exposure to smoke resulted in 1,113 unique peptide sequences being differentially secreted (q- Protein name Protein name Protein name Protein name Protein name name name name name name Methods 60 kDa heat shock protein, value < 0.1 and DI > 2) in at least one treatment comparison. At the protein-level, 376 distinct ACTN1 Alpha-actinin-1 CRNN Cornulin HSPD1 MUC16 Mucin-16 S100A9 Protein S100-A9 mitochondrial Anterior gradient protein 2 10 kDa heat shock protein, Cell culture: Primary HBECs (Lonza) from 6 non-smoking donors were grown at the air-liquid AGR2 CSTB Cystatin-B HSPE1 MUC20 Mucin-20 S100P S100P-binding protein proteins were considered significant, with the greatest secretion changes occurring 48 hours homolog mitochondrial ® Plasminogen activator inhibitor interface on 6.5 mm Transwells (Corning) for 30 days, by which time the cells had undergone AHNAK2 Protein AHNAK2 CTSD Cathepsin D IL1B Interleukin-1 beta MUC4 Mucin-4 SERBP1 after low dose smoke exposure as compared to the air control (Table 1). The majority of the 1 RNA-binding protein 1 Aldo-keto reductase family 1 Interleukin 1 receptor mucocilliary differentiation . AKR1B10 CTSZ Cathepsin Z IL1RN MUC5AC Mucin-5AC SERPINA1 Alpha-1-antitrypsin differentially secreted proteins are related to inflammation and immune response, calcium member B10 antagonist protein Aldo-keto reductase family 1 AKR1C2 CTTN Src substrate cortactin IL6 IL-6 MUC5B Mucin-5B SERPINA3 Alpha-1-antichymotrypsin binding and homeostasis, squamous cell differentiation and keratinocytes, protein metabolism member C2 Aldehyde dehydrogenase, ALDH3A1 CXCL1 C-X-C motif chemokine 1 IL8 IL-8 NCL Nucleolin SERPINB1 Leukocyte elastase inhibitor Smoke exposure: A RM20S Smoking Machine (Borgwaldt) was used to generate and dilute dimeric NADP-preferring and oxidative stress (Figure 2). The top 30 proteins that were positively differentially secreted are NAD(P)H dehydrogenase ANXA1 Annexin A1 DKK2 Dickkopf-related protein 2 JRKL Jerky protein homolog-like NQO1 SERPINB13 Serpin B13 smoke from 3R4F cigarettes (University of Kentucky) under the ISO smoking regime (35 ml puff [quinone] 1 listed in Table 2. ANXA5 Annexin A5 EIF5A2 Elongation factor 1-alpha 1 KDM3A Lysine-specific demethylase 3A NUCB1 Nucleobindin-1 SERPINB3 Serpin B3 Nuclear ubiquitous casein and volume drawn over 2 seconds once every minute). The HBECs were transferred to exposure Eukaryotic translation initiation Far upstream element-binding ASAH1 Acid ceramidase ENO1 KHSRP NUCKS1 cyclin-dependent kinases SERPINB4 Serpin B4 factor 5A-2 protein 2 substrate chambers and exposed at the air surface interface (ALI) for 30 minutes to a low or (1:160, ATP synthase subunit O, Pigment epithelium-derived ATP5O ENSA Alpha-endosulfine KLK11 Kallikrein-11 NUDC Nuclear migration protein nudC SERPINF1 2 Time post exposure Number of proteins mitochondrial factor Comparison Protein kinase C and casein smoke:air), high dose (1:60, smoke:air) of cigarette whole smoke or filtered-air alone . ASL was DNA repair protein (hours) ATRN Isoform 2 of Attractin ERCC5 KLK13 Kallikrein-13 PACSIN2 kinase substrate in neurons SFN 14-3-3 protein sigma AB complementing XP-G cells protein 2 collected from the exposed cultures at 4, 12, 24 and 48 hours after exposure by adding 150 µl 4 LD vs AC 0 32 Secreted frizzled-related B2M Beta-2-microglobulin ERO1L ERO1-like protein alpha KRT10 Keratin, type I cytoskeletal 10 PGAM1 Phosphoglycerate mutase 1 SFRP1 protein 1 4 HD vs AC 0 48 phosphate buffered saline to the apical surface, incubating at 37ºC for 10 minutes before Polymeric immunoglobulin Sodium-dependent phosphate BASP1 Brain acid soluble protein 1 EZR Ezrin KRT4 Keratin, type II cytoskeletal 4 PIGR SLC34A2 4 HD vs LD 0 39 receptor transport protein 2B removal. 12 LD vs AC 0 74 3'(2'),5'-bisphosphate Fumarylacetoacetate hydrolase BPNT1 FAHD1 KRT9 Keratin, type I cytoskeletal 9 PIP Prolactin-inducible protein SNAP23 Antileukoproteinase 12 HD vs AC 0 62 nucleotidase 1 domain-containing protein 1 12 HD vs LD 0 92 Peptidyl-prolyl cis-trans Urokinase-type plasminogen Synaptosomal-associated C3 Complement C3 FKBP3 KYNU Kynureninase PLAU SNRPD3 isomerase FKBP3 activator protein 23 Proteomics analysis: ASL samples were concentrated, digested with trypsin and desalted. 24 LD vs AC 0 37 Fibrous sheath-interacting Small nuclear ribonucleoprotein C4B Complement C4-B FSIP2 LAMB2 Laminin subunit beta-2 PLUNC Protein Plunc SPP1 24 HD vs AC 0 70 protein 2 Sm D3 Processed samples were analysed by reversed phase liquid chromatography (LC) (nanoAcquity, Neutrophil gelatinase- CALM1 Calmodulin FSTL1 Follistatin-related protein 1 LCN2 PRDX1 Peroxiredoxin-1 SSBP1 Osteopontin 24 HD vs LD 0 104 associated lipocalin Succinyl-CoA ligase [GDP- Waters) using a water/acetonitrile/formic acid gradient. The LC was coupled by nanospray to an 48 LD vs AC 123 192 L-lactate dehydrogenase A CAPN1 Calpain-1 catalytic subunit FTH1 Ferritin heavy chain LDHA PRDX2 Peroxiredoxin-2 SUCLG2 forming] subunit beta, chain 48 HD vs AC 0 106 mitochondrial Orbitrap XL (Thermo Fisher) mass spectrometer. Survey scan (LC-MS) and tandem mass Thioredoxin-dependent 48 HD vs LD 177 179 Isoform 2 of Alpha-(1,3)- L-lactate dehydrogenase B Transforming growth factor CAPS Calcyphosin FUT6 LDHB PRDX3 peroxide reductase, TGFB2 fucosyltransferase chain beta-2 spectrometry (MS/MS) data were acquired in the same run. Protein identification was mitochondrial Table 1. Protein summary in treatment effect comparisons. [A] 40% significant peptides (q-value < 0.1) with CAT Catalase GAA Lysosomal alpha-glucosidase LGALS3 Galectin-3 PRDX5 Peroxiredoxin-5, mitochondrial TIMP1 Metalloproteinase inhibitor 1 accomplished using data acquired by LC-MS/MS. The MS/MS spectra were matched to the Glyceraldehyde-3-phosphate CCL20 C-C motif chemokine 20 GAPDH LGALS3BP Galectin-3-binding protein PRSS3 Trypsin-3 TNF TNF-α differential intensity (DI) in the same direction (all above or below 1). [B] 80% of the peptides with DI in the same dehydrogenase Proteasome subunit alpha corresponding peptide sequences found in the UniProt human protein database using Mascot CD109 CD109 antigen GCN1L1 Translational activator GCN1 LPLUNC1 LPLUNC1 PSMA1 TPI1 Triosephosphate isomerase direction and median DI greater than 1.4. type-1 Monocyte differentiation Lipolysis-stimulated lipoprotein Proteasome activator complex Thioredoxin reductase 1, CD14 GDF15 Growth/differentiation factor 15 LSR PSME1 TXNRD1 (Matrix Science) software. antigen CD14 receptor subunit 1 cytoplasmic Microtubule-associated protein CEL Bile salt-activated lipase GPX2 Glutathione peroxidase 2 MAP4 RORB Nuclear receptor ROR-beta TYMP Thymidine phosphorylase Lipid metabolism Translation Misc.
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    University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Fall 12-18-2015 Regulation of the transmembrane mucin MUC4 by Wnt/β-catenin in gastrointestinal cancers Priya Pai University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Biochemistry Commons, and the Molecular Biology Commons Recommended Citation Pai, Priya, "Regulation of the transmembrane mucin MUC4 by Wnt/β-catenin in gastrointestinal cancers" (2015). Theses & Dissertations. 58. https://digitalcommons.unmc.edu/etd/58 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. i Regulation of the transmembrane mucin MUC4 by Wnt/β- catenin in gastrointestinal cancers By PRIYA PAI A DISSERTATION Presented to the Faculty of The University of Nebraska Graduate College In Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy Department of Biochemistry and Molecular Biology Graduate Program Under the Supervision of Professor Surinder K. Batra University of Nebraska Medical Center Omaha, Nebraska November, 2015 ii Regulation of the transmembrane mucin MUC4 by Wnt/β-catenin in gastrointestinal cancers Priya Pai, PhD. University of Nebraska Medical Center, 2015 Supervisor: Surinder K. Batra, PhD. The transmembrane mucin MUC4 is a high molecular weight glycoprotein that is expressed de novo in pancreatic ductal adenocarcinoma (PDAC). MUC4 has been shown to play a tumor-promoting role in malignancies such as PDAC, ovarian cancer and breast cancer.
  • Kallikrein 13: a New Player in Coronaviral Infections

    Kallikrein 13: a New Player in Coronaviral Infections

    bioRxiv preprint doi: https://doi.org/10.1101/2020.03.01.971499; this version posted March 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Kallikrein 13: a new player in coronaviral infections. 2 3 Aleksandra Milewska1,2, Katherine Falkowski2, Magdalena Kalinska3, Ewa Bielecka3, 4 Antonina Naskalska1, Pawel Mak4, Adam Lesner5, Marek Ochman6, Maciej Urlik6, Jan 5 Potempa2,7, Tomasz Kantyka3,8, Krzysztof Pyrc1,* 6 7 1 Virogenetics Laboratory of Virology, Malopolska Centre of Biotechnology, Jagiellonian 8 University, Gronostajowa 7a, 30-387 Krakow, Poland. 9 2 Microbiology Department, Faculty of Biochemistry, Biophysics and Biotechnology, 10 Jagiellonian University, Gronostajowa 7, 30-387 Krakow, Poland. 11 3 Laboratory of Proteolysis and Post-translational Modification of Proteins, Malopolska 12 Centre of Biotechnology, Jagiellonian University, Gronostajowa 7a, 30-387 Krakow, 13 Poland. 14 4 Department of Analytical Biochemistry, Faculty of Biochemistry, Biophysics and 15 Biotechnology, Jagiellonian University, Gronostajowa 7 St., 30-387, Krakow, Poland. 16 5 University of Gdansk, Faculty of Chemistry, Wita Stwosza 63, 80-308 Gdansk, Poland. 17 6 Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Medical 18 University of Silesia in Katowice, Silesian Centre for Heart Diseases, Zabrze, Poland. 19 7 Centre for Oral Health and Systemic Diseases, University of Louisville School of Dentistry, 20 Louisville, KY 40202, USA. 21 8 Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, 22 5020 Bergen, Norway 23 24 25 26 27 28 29 30 31 * Correspondence should be addressed to Krzysztof Pyrc ([email protected]), Virogenetics 32 Laboratory of Virology, Malopolska Centre of Biotechnology, Jagiellonian University, 33 Gronostajowa 7, 30-387 Krakow, Poland; Phone number: +48 12 664 61 21; www: 34 http://virogenetics.info/.