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Supporting Information for Proteomics DOI 10.1002/Pmic.200401283
Supporting Information for Proteomics DOI 10.1002/pmic.200401283 Laura Bianchi, Cristina Canton, Luca Bini, Rosaria Orlandi, Sylvie Mnard, Alessandro Armini, Monica Cattaneo, Vitaliano Pallini, Luigi Rossi Bernardi and Ida Biunno Protein profile changes in the human breast cancer cell line MCF-7 in response to SEL1L gene induction ª 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de Probe Set ID UniGene ID Representative Public ID Gene Title Gene Symbol E+E- M+M- E+M+ E-M- 38591_at 397073 D38501 postmeiotic segregation increased 2-like 5 PMS2L5 D NC D NC 37611_at 81791 AB008822 tumor necrosis factor receptor superfamily, member 11b (osteoprotegerin) TNFRSF11B D NC D NC 40711_at 86405 AL049340 Splicing factor YT521-B YT521 D NC D NC 33540_at 378826 AL049233 Chromosome 10 open reading frame 18 C10orf18 D NC D NC 1298_at 510244 X86816 Estrogen receptor cDNA, 5' splice variant --- D NC D NC 38266_at 188553 W25798 retinoblastoma binding protein 6 RBBP6 D NC D NC 31665_s_at --- W27675 --- --- D NC D NC 40713_at 86998 AB020634 nuclear factor of activated T-cells 5, tonicity-responsive NFAT5 D NC D NC 33658_at 421238 S54641 zinc finger protein 124 (HZF-16) ZNF124 D NC D NC 1465_s_at 300592 S75881 V-myb myeloblastosis viral oncogene homolog (avian)-like 1 MYBL1 D NC D NC 36448_at --- X95677 --- --- D NC D NC 34777_at 441047 D14874 adrenomedullin ADM D NC D NC 32389_at 536594 W25892 Transcribed locus, weakly similar to XP_216369.2 similar to ORF2 consensus sequence encoding endonuclease and reverse--- transcriptase minus -
North Fork of the St. Lucie River Floodplain Vegetation Technical Report
NORTH FORK ST. LUCIE RIVER FLOODPLAIN VEGETATION TECHNICAL REPORT WR-2015-005 Coastal Ecosystem Section Applied Sciences Bureau Water Resources Division South Florida Water Management District Final Report July 2015 i Resources Division North Fork of the St. Lucie River Floodplain Vegetation Technical Report ACKNOWLEDGEMENTS This document is the result of a cooperative effort between the Coastal Ecosystems Section of South Florida Water Management District (SFWMD) and the Florida Department of Environmental Protection (FDEP), Florida Park Service (FPS) at the Savannas Preserve State Park in Jensen Beach, Florida and the Indian River Lagoon Aquatic Preserve Office in Fort Pierce, Florida. The principle author of this document was as follows: Marion Hedgepeth SFWMD The following staff contributed to the completion of this report: Cecilia Conrad SFWMD (retired) Jason Godin SFWMD Detong Sun SFWMD Yongshan Wan SFWMD We would like to acknowledge the contributions of Christine Lockhart of Habitat Specialist Inc. with regards to the pre-vegetation plant survey, reference collection established for this project, and for her assistance with plant identifications. We are especially grateful to Christopher Vandello of the Savannas Preserve State Park and Laura Herren and Brian Sharpe of the FDEP Indian River Lagoon Aquatic Preserves Office for their assistance in establishing the vegetation transects and conducting the field studies. And, we would like to recognize other field assistance from Mayra Ashton, Barbara Welch, and Caroline Hanes of SFWMD. Also, we would like to thank Kin Chuirazzi for performing a technical review of the document. ii North Fork of the St. Lucie River Floodplain Vegetation Technical Report TABLE OF CONTENTS Acknowledgements ..........................................................................................................................ii List of Tables ............................................................................................................................... -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Monoclonal Antibodies Against Cd30 Lacking In
(19) TZZ_97688¥_T (11) EP 1 976 883 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: C07K 16/28 (2006.01) A61P 35/00 (2006.01) 03.10.2012 Bulletin 2012/40 A61P 37/00 (2006.01) (21) Application number: 07718000.8 (86) International application number: PCT/US2007/001451 (22) Date of filing: 17.01.2007 (87) International publication number: WO 2007/084672 (26.07.2007 Gazette 2007/30) (54) MONOCLONAL ANTIBODIES AGAINST CD30 LACKING IN FUCOSYL AND XYLOSYL RESIDUES MONOKLONALE ANTIKÖRPER GEGEN CD30 OHNE FUCOSYL- UND XYLOSYLRESTE ANTICORPS MONOCLONAUX ANTI-CD30 DEPOURVUS DE RESIDUS FUCOSYL ET XYLOSYL (84) Designated Contracting States: • WANG, Ming-Bo AT BE BG CH CY CZ DE DK EE ES FI FR GB GR Canberra Australian Capital Territory 2617 (AU) HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI SK TR (74) Representative: Tuxworth, Pamela M. Designated Extension States: J A Kemp RS 14 South Square Gray’s Inn (30) Priority: 17.01.2006 US 759298 P London WC1R 5JJ (GB) 07.04.2006 US 790373 P 11.04.2006 US 791178 P (56) References cited: 09.06.2006 US 812702 P WO-A-03/059282 US-A1- 2004 261 148 11.08.2006 US 837202 P 11.08.2006 US 836998 P • P. BORCHMANN ET AL.: "The human anti-CD30 antibody 5F11 shows in vitro and in vivo activity (43) Date of publication of application: against malignant lymphoma." BLOOD, vol. 102, 08.10.2008 Bulletin 2008/41 no. -
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. -
Overexpressed Nup88 Stabilized Through Interaction with Nup62 Promotes NFB
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.063057; this version posted May 4, 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. Overexpressed Nup88 stabilized through interaction with Nup62 promotes NFB dependent pathways in cancer Usha Singh1, Atul Samaiya2, and Ram Kumar Mishra1,* 1 Nups and Sumo Biology Group, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Bhopal, Madhya Pradesh, 462066, India. 2 Department of Surgical Oncology, Bansal Hospital, Bhopal, Madhya Pradesh, 462016, India * To whom correspondence should be addressed. Corresponding Author: Phone – +91-755-2691407 Fax - +91-755-2692392 Email- [email protected] Keywords Nup88; NFB; Head and neck cancer; ubiquitination; cell proliferation; inflammation 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.063057; this version posted May 4, 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. Abstract Nuclear pores control nucleo-cytoplasmic trafficking and directly or indirectly regulate vital cellular processes. Nup88, important for Crm1 mediated nuclear export process, is overexpressed in many cancers. A positive correlation exists between progressive stages of cancer and Nup88 expression. However, links between Nup88 overexpression and head and neck cancer are insignificant, and mechanistic details are non-existent. Here, we report that Nup88 exhibits positive correlation in head and neck cancer in addition to elevated Nup62 levels. We demonstrate that Nup88 interacts with Nup62 in a cell-cycle and glycosylation independent manner. -
Meta-Analyses of Expression Profiling Data in the Postmortem
META-ANALYSES OF EXPRESSION PROFILING DATA IN THE POSTMORTEM HUMAN BRAIN by Meeta Mistry B.Sc., McMaster University, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE STUDIES (Bioinformatics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) July 2012 © Meeta Mistry, 2012 Abstract Schizophrenia is a severe psychiatric illness for which the precise etiology remains unknown. Studies using postmortem human brain have become increasingly important in schizophrenia research, providing an opportunity to directly investigate the diseased brain tissue. Gene expression profiling technologies have been used by a number of groups to explore the postmortem human brain and seek genes which show changes in expression correlated with schizophrenia. While this has been a valuable means of generating hypotheses, there is a general lack of consensus in the findings across studies. Expression profiling of postmortem human brain tissue is difficult due to the effect of various factors that can confound the data. The first aim of this thesis was to use control postmortem human cortex for identification of expression changes associated with several factors, specifically: age, sex, brain pH and postmortem interval. I conducted a meta-analysis across the control arm of eleven microarray datasets (representing over 400 subjects), and identified a signature of genes associated with each factor. These genes provide critical information towards the identification of problematic genes when investigating postmortem human brain in schizophrenia and other neuropsychiatric illnesses. The second aim of this thesis was to evaluate gene expression patterns in the prefrontal cortex associated with schizophrenia by exploring two methods of analysis: differential expression and coexpression. -
Regulatory Mechanisms of Apoptosis in Regularly Dividing Cells
Cell Health and Cytoskeleton Dovepress open access to scientific and medical research Open Access Full Text Article REVIEW Regulatory mechanisms of apoptosis in regularly dividing cells Ribal S Darwish Abstract: The balance between cell survival and death is essential for normal development and Department of Anesthesiology, homeostasis of organisms. Apoptosis is a distinct type of cell death with ultrastructural features Division of Critical Care Medicine, that are consistent with an active, inherently controlled process. Abnormalities and dysregulation University of Maryland Medical of apoptosis contribute to the pathophysiology of multiple disease processes. Apoptosis is strictly Center, Baltimore, Maryland, USA regulated by several positive and negative feedback mechanisms that regulate cell death and determine the final outcome after cell exposure to apoptotic stimuli. Mitochondria and caspases are central components of the regulatory mechanisms of apoptosis. Recently, noncaspase pathways of apoptosis have been explored through the studies of apoptosis-inducing factor and endonu- clease G. Multiple difficulties in the apoptosis research relate to apoptosis detection and imaging. For personal use only. This article reviews current understanding of the regulatory mechanisms of apoptosis. Keywords: caspases, apoptosis-inducing factor, apoptosis inhibitory proteins, cytochrome c, mitochondria Introduction Apoptosis is a distinct type of cell death with ultrastructural features that are con- sistent with an active, inherently controlled process, and it is a part of the necrobio- sis, a process that is essential in maintaining tissue homeostasis. The concept that cells must be lost from the normal tissues to balance their mitotic activity was first proposed by the German anatomist Ludwig Graper,1 who proposed that chromolysis must exist in the cells that will be eliminated. -
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 -
Nup88 (22): Sc-136009
SANTA CRUZ BIOTECHNOLOGY, INC. Nup88 (22): sc-136009 BACKGROUND APPLICATIONS The nuclear pore complex (NPC) mediates bidirectional macromolecular Nup88 (22) is recommended for detection of Nup88 of mouse, rat and human traffic between the nucleus and cytoplasm in eukaryotic cells and is com- origin by Western Blotting (starting dilution 1:200, dilution range 1:100- prised of more than 100 different subunits. Many of the subunits belong to 1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein (1 ml a family called nucleoporins (Nups), which are characterized by the pres- of cell lysate)] and immunofluorescence (starting dilution 1:50, dilution range ence of O-linked-N-acetylglucosamine moieties and a distinctive pentapep- 1:50-1:500). tide repeat (XFXFG). Nup88 (nucleoporin 88 kDa) is a 741 amino acid protein Suitable for use as control antibody for Nup88 siRNA (h): sc-75980, Nup88 that localizes to the nucleus and functions as an essential component of siRNA (m): sc-75981, Nup88 shRNA Plasmid (h): sc-75980-SH, Nup88 shRNA the nuclear pore complex. Expressed ubiquitously, Nup88 is subject to phos- Plasmid (m): sc-75981-SH, Nup88 shRNA (h) Lentiviral Particles: sc-75980-V phorylation by ATM or ATR and is upregulated in malignant neoplasms and and Nup88 shRNA (m) Lentiviral Particles: sc-75981-V. precancerous dysplasias, suggesting a role in tumorigenesis. The gene encod- ing Nup88 maps to human chromosome 17p13.2, which comprises over 2.5% Molecular Weight of Nup88: 88 kDa. of the human genome and encodes over 1,200 genes. Positive Controls: IMR-32 cell lysate: sc-2409, HeLa whole cell lysate: sc-2200 or A-431 whole cell lysate: sc-2201. -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
Figure S1. HAEC ROS Production and ML090 NOX5-Inhibition
Figure S1. HAEC ROS production and ML090 NOX5-inhibition. (a) Extracellular H2O2 production in HAEC treated with ML090 at different concentrations and 24 h after being infected with GFP and NOX5-β adenoviruses (MOI 100). **p< 0.01, and ****p< 0.0001 vs control NOX5-β-infected cells (ML090, 0 nM). Results expressed as mean ± SEM. Fold increase vs GFP-infected cells with 0 nM of ML090. n= 6. (b) NOX5-β overexpression and DHE oxidation in HAEC. Representative images from three experiments are shown. Intracellular superoxide anion production of HAEC 24 h after infection with GFP and NOX5-β adenoviruses at different MOIs treated or not with ML090 (10 nM). MOI: Multiplicity of infection. Figure S2. Ontology analysis of HAEC infected with NOX5-β. Ontology analysis shows that the response to unfolded protein is the most relevant. Figure S3. UPR mRNA expression in heart of infarcted transgenic mice. n= 12-13. Results expressed as mean ± SEM. Table S1: Altered gene expression due to NOX5-β expression at 12 h (bold, highlighted in yellow). N12hvsG12h N18hvsG18h N24hvsG24h GeneName GeneDescription TranscriptID logFC p-value logFC p-value logFC p-value family with sequence similarity NM_052966 1.45 1.20E-17 2.44 3.27E-19 2.96 6.24E-21 FAM129A 129. member A DnaJ (Hsp40) homolog. NM_001130182 2.19 9.83E-20 2.94 2.90E-19 3.01 1.68E-19 DNAJA4 subfamily A. member 4 phorbol-12-myristate-13-acetate- NM_021127 0.93 1.84E-12 2.41 1.32E-17 2.69 1.43E-18 PMAIP1 induced protein 1 E2F7 E2F transcription factor 7 NM_203394 0.71 8.35E-11 2.20 2.21E-17 2.48 1.84E-18 DnaJ (Hsp40) homolog.