Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Cell Line P53 Mutation Type UM
A Cell line p53 mutation Type UM-SCC 1 wt UM-SCC5 Exon 5, 157 GTC --> TTC Missense mutation by transversion (Valine --> Phenylalanine UM-SCC6 wt UM-SCC9 wt UM-SCC11A wt UM-SCC11B Exon 7, 242 TGC --> TCC Missense mutation by transversion (Cysteine --> Serine) UM-SCC22A Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC22B Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC38 Exon 5, 132 AAG --> AAT Missense mutation by transversion (Lysine --> Asparagine) UM-SCC46 Exon 8, 278 CCT --> CGT Missense mutation by transversion (Proline --> Alanine) B 1 Supplementary Methods Cell Lines and Cell Culture A panel of ten established HNSCC cell lines from the University of Michigan series (UM-SCC) was obtained from Dr. T. E. Carey at the University of Michigan, Ann Arbor, MI. The UM-SCC cell lines were derived from eight patients with SCC of the upper aerodigestive tract (supplemental Table 1). Patient age at tumor diagnosis ranged from 37 to 72 years. The cell lines selected were obtained from patients with stage I-IV tumors, distributed among oral, pharyngeal and laryngeal sites. All the patients had aggressive disease, with early recurrence and death within two years of therapy. Cell lines established from single isolates of a patient specimen are designated by a numeric designation, and where isolates from two time points or anatomical sites were obtained, the designation includes an alphabetical suffix (i.e., "A" or "B"). The cell lines were maintained in Eagle's minimal essential media supplemented with 10% fetal bovine serum and penicillin/streptomycin. -
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 Expression Analysis of an in Vitro Murine Model of Prostate Cancer Progression: Towards Identification of High-Potential Therapeutic Targets
Journal of Personalized Medicine Article Protein Expression Analysis of an In Vitro Murine Model of Prostate Cancer Progression: Towards Identification of High-Potential Therapeutic Targets Hisham F. Bahmad 1,2,3 , Wenjing Peng 4, Rui Zhu 4, Farah Ballout 1, Alissar Monzer 1, 1,5 6, , 1, , 4, , Mohamad K. Elajami , Firas Kobeissy * y , Wassim Abou-Kheir * y and Yehia Mechref * y 1 Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut 1107-2020, Lebanon; [email protected] (H.F.B.); [email protected] (F.B.); [email protected] (A.M.); [email protected] (M.K.E.) 2 Arkadi M. Rywlin M.D. Department of Pathology and Laboratory Medicine, Mount Sinai Medical Center, Miami Beach, FL 33140, USA 3 Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA 4 Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; [email protected] (W.P.); [email protected] (R.Z.) 5 Department of Internal Medicine, Mount Sinai Medical Center, Miami Beach, FL 33140, USA 6 Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut 1107-2020, Lebanon * Correspondence: [email protected] (F.K.); [email protected] (W.A.-K.); [email protected] (Y.M.); Tel.: +961-1-350000 (ext. 4805) (F.K.); +961-1-350000 (ext. 4778) (W.A.K.); +1-806-834-8246 (Y.M.); Fax: +1-806-742-1289 (Y.M.); 961-1-744464 (W.A.K.) These authors have contributed equally to this work as joint senior authors. -
Steroid-Dependent Regulation of the Oviduct: a Cross-Species Transcriptomal Analysis
University of Kentucky UKnowledge Theses and Dissertations--Animal and Food Sciences Animal and Food Sciences 2015 Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis Katheryn L. Cerny University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Cerny, Katheryn L., "Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis" (2015). Theses and Dissertations--Animal and Food Sciences. 49. https://uknowledge.uky.edu/animalsci_etds/49 This Doctoral Dissertation is brought to you for free and open access by the Animal and Food Sciences at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Animal and Food Sciences by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
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, -
Characterization of the Goose CAPN3 Gene and Its Expression Pattern in Muscle Tissues of Sichuan White Geese at Different Growth Stages
http://www.jstage.jst.go.jp/browse/jpsa doi:10.2141/ jpsa.0170150 Copyright Ⓒ 2018, Japan Poultry Science Association. Characterization of the Goose CAPN3 Gene and its Expression Pattern in Muscle Tissues of Sichuan White Geese at Different Growth Stages Hengyong Xu*, Yahui Zhang*, Quan Zou, Liang Li, Chunchun Han, Hehe Liu, Jiwei Hu, Tao Zhong and Yan Wang Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China Calpain 3 (CAPN3), also known as p94, is associated with multiple production traits in domestic animals. However, the molecular characteristics of the CAPN3 gene and its expression profile in goose tissues have not been reported. In this study, CAPN3 cDNA of the Sichuan white goose was cloned, sequenced, and characterized. The CAPN3 full-length cDNA sequence consists of a 2,316-bp coding sequence (CDS) that encodes 771 amino acids with a molecular mass of 89,019 kDa. The protein was predicted to have no signal peptide, but several N-glycosylation, O- glycosylation, and phosphorylation sites. The secondary structure of CAPN3 was predicted to be 38.65% α-helical. Sequence alignment showed that CAPN3 of Sichuan white goose shared more than 90% amino acid sequence similarity with those of Japanese quail, turkey, helmeted guineafowl, duck, pigeon, and chicken. Phylogenetic tree analysis showed that goose CAPN3 has a close genetic relationship and small evolutionary distance with those of the birds. qRT-PCR analysis showed that in 15-day-old animals, the expression level of CAPN3 was significantly higher in breast muscle than in thigh tissues. -
Single-Cell RNA Sequencing Demonstrates the Molecular and Cellular Reprogramming of Metastatic Lung Adenocarcinoma
ARTICLE https://doi.org/10.1038/s41467-020-16164-1 OPEN Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma Nayoung Kim 1,2,3,13, Hong Kwan Kim4,13, Kyungjong Lee 5,13, Yourae Hong 1,6, Jong Ho Cho4, Jung Won Choi7, Jung-Il Lee7, Yeon-Lim Suh8,BoMiKu9, Hye Hyeon Eum 1,2,3, Soyean Choi 1, Yoon-La Choi6,10,11, Je-Gun Joung1, Woong-Yang Park 1,2,6, Hyun Ae Jung12, Jong-Mu Sun12, Se-Hoon Lee12, ✉ ✉ Jin Seok Ahn12, Keunchil Park12, Myung-Ju Ahn 12 & Hae-Ock Lee 1,2,3,6 1234567890():,; Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell tran- scriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. 1 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea. -
Apoptosis and Differentiation Commitment: Novel Insights Revealed by Gene Profiling Studies in Mouse Embryonic Stem Cells
Cell Death and Differentiation (2006) 13, 564–575 & 2006 Nature Publishing Group All rights reserved 1350-9047/06 $30.00 www.nature.com/cdd Apoptosis and differentiation commitment: novel insights revealed by gene profiling studies in mouse embryonic stem cells D Duval1,2,4, M Trouillas3,4, C Thibault2, D Dembele´ 2, Introduction F Diemunsch2, B Reinhardt2, AL Mertz2, A Dierich2 Mouse embryonic stem (ES) cells, which are maintained and H Bœuf*,3 pluripotent in vitro with leukemia inhibitory factor (LIF) cytokine, are instrumental to study LIF-dependent cell 1 UMR5096-CNRS/UP/IRD, Perpignan, France 2 IGBMC/CNRS/INSERM, Strasbourg, France pluripotency as well as the first steps of differentiation 3 UMR-5164-CNRS-CIRID/Universite´ Bordeaux2, Bordeaux, France commitment triggered upon LIF starvation. As we recently 4 These authors contributed equally to this work reported, these cells could also be used to unravel the early * Corresponding author: H Bœuf, UMR-5164-CNRS-CIRID, Universite´ steps of apoptosis, a physiological cell death process Bordeaux2, Bat.1B, BP14, 146 rue Le´o Saignat, 33076 Bordeaux, France. occurring during the first embryogenesis stages. Indeed, the Tel: þ 05 57 57 46 33; Fax: þ 05 57 57 14 72; formation of the cavities, which starts at the blastocyst stage, E-mail:helene.bœ[email protected] is dependent on a specific cell death program, which includes caspase 3 cleavage and induction of the apoptosis-inducing Received 10.3.05; revised 01.9.05; accepted 01.9.05; published online 25.11.05 1 Edited by R De Maria factor (AIF)-complex proteins. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Supplemental Table1a.Xlsx
Electronic Supplementary Material (ESI) for Analyst This journal is © The Royal Society of Chemistry 2013 Supplemental Table 1A This table includes the taxonomically significant peptides from HeLa cultured VACV samples purified by filter purification. The peptide, uniprot ID and protein name from one of the homologous proteins is provided. The species specificity is provided along with the frequency of observation (n = 10). Peptides observed in more than replicate data set are included. Peptide Uniprot ID Protein Description Specificity Freq. LLNENSYVPR P02786 protein 1 Primates, racoon 0.9 LATQLTGPVMPVR A8K4C8 60S ribosomal protein L13 Homo sapiens 0.8 HVGK B0JYN6 Alpha-2-HS-glycoprotein Bos taurus0.8 LAVDEEENADNNTK F8WBE5 protein 1 Great Apes 0.8 VTLTSEEEAR B4DJI1 L-lactate dehydrogenase Primates, Hamster 0.7 LGEYGFQNELIVR B0JYQ0 ALB protein Bos taurus 0.6 GTVTDFPGFDER D6RCN3 Annexin A5 Elephant 0.6 YTPSGQAGAAASESLF Fructose-bisphosphate Great apes, cucumber VSNHAY H3BR68 aldolase A (Fragment) and some rodents 0.6 VGGHAAEYGAEALER P01966 Hemoglobin subunit alpha Bos taurus 0.6 ALTGHLEEVVLALLK P04083 Annexin A1 some rodents 0.5 AQGPAASAEEPKPVEA Brain acid soluble protein PAANSDQTVTVKE P80723 1 Homo sapiens 0.5 FYALSASFEPFSNK P27797 Calreticulin Primates not gorilla 0.5 PK P02081 beta Bos taurus0.5 NLK F5H6B1 protein 1Gorilla 0.5 K P02786 protein 1Primates 0.5 YNSQLLSFVR P02786 protein 1 Great Apes 0.5 TPIVGQPSIPGGPVR B0JYN6 Alpha-2-HS-glycoprotein Bos taurus 0.4 AGTDLLNFLSSFIDPK P81644 Apolipoprotein A-II Bos taurus 0.4 SELPLDPLPVPTEEGNP -
Learning from Cadherin Structures and Sequences: Affinity Determinants and Protein Architecture
Learning from cadherin structures and sequences: affinity determinants and protein architecture Klára Fels ıvályi Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Klara Felsovalyi All rights reserved ABSTRACT Learning from cadherin structures and sequences: affinity determinants and protein architecture Klara Felsovalyi Cadherins are a family of cell-surface proteins mediating adhesion that are important in development and maintenance of tissues. The family is defined by the repeating cadherin domain (EC) in their extracellular region, but they are diverse in terms of protein size, architecture and cellular function. The best-understood subfamily is the type I classical cadherins, which are found in vertebrates and have five EC domains. Among the five different type I classical cadherins, the binding interactions are highly specific in their homo- and heterophilic binding affinities, though their sequences are very similar. As previously shown, E- and N-cadherins, two prototypic members of the subfamily, differ in their homophilic K D by about an order of magnitude, while their heterophilic affinity is intermediate. To examine the source of the binding affinity differences among type I cadherins, we used crystal structures, analytical ultracentrifugation (AUC), surface plasmon resonance (SPR), and electron paramagnetic resonance (EPR) studies. Phylogenetic analysis and binding affinity behavior show that the type I cadherins can be further divided into two subgroups, with E- and N-cadherin representing each. In addition to the affinity differences in their wild-type binding through the strand-swapped interface, a second interface also shows an affinity difference between E- and N-cadherin. -
Differential Proteomic Analysis of Hepatocellular Carcinomas From
CANCER GENOMICS & PROTEOMICS 17 : 669-685 (2020) doi:10.21873/cgp.20222 Differential Proteomic Analysis of Hepatocellular Carcinomas from Ppp2r5d Knockout Mice and Normal (Knockout) Livers CAROLINE LAMBRECHT 1, GABRIELA BOMFIM FERREIRA 2, JUDIT DOMÈNECH OMELLA 1, LOUIS LIBBRECHT 3, RITA DE VOS 4, RITA DERUA 1, CHANTAL MATHIEU 2, LUT OVERBERGH 2, ETIENNE WAELKENS 1 and VEERLE JANSSENS 1,5 1Laboratory of Protein Phosphorylation and Proteomics, Department Cellular and Molecular Medicine, University of Leuven (KU Leuven), Leuven, Belgium; 2Clinical and Experimental Endocrinology, Department Clinical and Experimental Medicine, University of Leuven (KU Leuven), Leuven, Belgium; 3Department of Pathology, Université Catholique de Louvain (UCL), Brussels, Belgium; 4Translational Cell and Tissue Research, Department Imaging and Pathology, University of Leuven (KU Leuven), Leuven, Belgium; 5LKI, KU Leuven Cancer Institute, Leuven, Belgium Abstract. Background: Hepatocellular carcinoma (HCC) ‘gastrointestinal disease’ as top hits. Conclusion: We is the major type of primary liver cancer. Mice lacking the identified several proteins for further exploration as novel tumor-suppressive protein phosphatase 2A subunit B56 δ potential HCC biomarkers, and independently underscored (Ppp2r5d ) spontaneously develop HCC, correlating with the relevance of Ppp2r5d knockout mice as a valuable increased c-MYC oncogenicity. Materials and Methods: We hepatocarcinogenesis model. used two-dimensional difference gel electrophoresis-coupled matrix-assisted laser desorption/ionization time-of-flight Hepatocellular carcinoma (HCC) is the most common primary mass spectrometry to identify differential proteomes of livers liver cancer, and the second leading cause of cancer-related death from wild-type, non-cancerous and HCC-affected B56 δ worldwide (1). Most patients with HCC are diagnosed at an knockout mice.