Melanoma Cell Resistance to Vemurafenib Modifies Inter-Cellular
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The Effect of Temperature Adaptation on the Ubiquitin–Proteasome Pathway in Notothenioid Fishes Anne E
© 2017. Published by The Company of Biologists Ltd | Journal of Experimental Biology (2017) 220, 369-378 doi:10.1242/jeb.145946 RESEARCH ARTICLE The effect of temperature adaptation on the ubiquitin–proteasome pathway in notothenioid fishes Anne E. Todgham1,*, Timothy A. Crombie2 and Gretchen E. Hofmann3 ABSTRACT proliferation to compensate for the effects of low temperature on ’ There is an accumulating body of evidence suggesting that the sub- aerobic metabolism (Johnston, 1989; O Brien et al., 2003; zero Antarctic marine environment places physiological constraints Guderley, 2004). Recently, there has been an accumulating body – on protein homeostasis. Levels of ubiquitin (Ub)-conjugated proteins, of literature to suggest that protein homeostasis the maintenance of – 20S proteasome activity and mRNA expression of many proteins a functional protein pool has been highly impacted by evolution involved in both the Ub tagging of damaged proteins as well as the under these cold and stable conditions. different complexes of the 26S proteasome were measured to Maintaining protein homeostasis is a fundamental physiological examine whether there is thermal compensation of the Ub– process, reflecting a dynamic balance in synthetic and degradation proteasome pathway in Antarctic fishes to better understand the processes. There are numerous lines of evidence to suggest efficiency of the protein degradation machinery in polar species. Both temperature compensation of protein synthesis in Antarctic Antarctic (Trematomus bernacchii, Pagothenia borchgrevinki)and invertebrates (Whiteley et al., 1996; Marsh et al., 2001; Robertson non-Antarctic (Notothenia angustata, Bovichtus variegatus) et al., 2001; Fraser et al., 2002) and fish (Storch et al., 2005). In notothenioids were included in this study to investigate the zoarcid fishes, it has been demonstrated that Antarctic eelpouts mechanisms of cold adaptation of this pathway in polar species. -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
Hematopoietic Differentiation
Hematopoietic Differentiation A number of lineages of mature cells are derived by a series of steps from a common stem cell precursor. Myeloid cells including neutrophils and monocytes are important for early defense against infection and because of the occurrence of myeloid leukemias. Myeloid differentiation and activation offers a favorable system for experimental investigation. Some Models of Gene Expression in Myeloid Cells 1. Compare resting neutrophils with neutrophils exposed for two hours to either. – A. Non-pathogenic E. coli. – B. Yersinia pestis D27 (plague bacillus). – C. Non-pathogenic Yersinia D28. 2. Induced differentiation of MPRO promyelocytic cells. NeutrophilsNeutrophils Major frontline defense cells against invading pathogens. – Constitute 70% of the total blood leukocytes. – Terminally differentiated professional phagocytic cells with an antibacterial arsenal. – Use both oxygen dependent and oxygen independent killing mechanisms. Play a central role in 2000X mag inflammation. Distribution of IL-8 transcripts on neutrophils (in situ hybridization) A combination of two Cy3 (red)- A labeled oligonucleotides complementary to IL-8 transcripts were used for in situ hybridization with neutrophils incubated in the absence (A) or presence (B) of ten E. coli K12 organisms per neutrophil. BB Methods of Analysis 1. mRNA analysis. – A. 3’ end restriction fragment gel display. – B. Affymetrix 60k or 42k oligonucleotide arrays. 2. Protein analysis. 2D gel electrophoresis using a variety of ph ranges for isoelectric focusing. MALDI-TOF identification of proteins. Representative Segments of Display Gels of cDNA Fragments: (Left) Neutrophils and Monocytes Exposed to E. coli for 2 H; (Right) Neutrophils Exposed to Various Bacteria for 2 H Ec: E. coli K12; Yp (KIM5): Y. -
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. -
Folate Receptor Β Regulates Integrin Cd11b/CD18 Adhesion of a Macrophage Subset to Collagen
Folate Receptor β Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen This information is current as Christian Machacek, Verena Supper, Vladimir Leksa, Goran of September 25, 2021. Mitulovic, Andreas Spittler, Karel Drbal, Miloslav Suchanek, Anna Ohradanova-Repic and Hannes Stockinger J Immunol 2016; 197:2229-2238; Prepublished online 17 August 2016; doi: 10.4049/jimmunol.1501878 Downloaded from http://www.jimmunol.org/content/197/6/2229 Supplementary http://www.jimmunol.org/content/suppl/2016/08/17/jimmunol.150187 Material 8.DCSupplemental http://www.jimmunol.org/ References This article cites 49 articles, 23 of which you can access for free at: http://www.jimmunol.org/content/197/6/2229.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 25, 2021 • 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 © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Folate Receptor b Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen Christian Machacek,* Verena Supper,* Vladimir Leksa,*,† Goran Mitulovic,‡ Andreas Spittler,x Karel Drbal,{,1 Miloslav Suchanek,{ Anna Ohradanova-Repic,* and Hannes Stockinger* Folate, also known as vitamin B9, is necessary for essential cellular functions such as DNA synthesis, repair, and methylation. -
Isolation and Characterization of Lymphocyte-Like Cells from a Lamprey
Isolation and characterization of lymphocyte-like cells from a lamprey Werner E. Mayer*, Tatiana Uinuk-ool*, Herbert Tichy*, Lanier A. Gartland†, Jan Klein*, and Max D. Cooper†‡ *Max-Planck-Institut fu¨r Biologie, Abteilung Immungenetik, Corrensstrasse 42, D-72076 Tu¨bingen, Germany; and †Howard Hughes Medical Institute, University of Alabama, 378 Wallace Tumor Institute, Birmingham, AL 35294 Contributed by Max D. Cooper, August 30, 2002 Lymphocyte-like cells in the intestine of the sea lamprey, Petro- existence of the adaptive immune system in jawless fishes, myzon marinus, were isolated by flow cytometry under light- the identity of these cells has remained in doubt. The aim of the scatter conditions used for the purification of mouse intestinal present study was to exploit contemporary methods of cell lymphocytes. The purified lamprey cells were morphologically separation to isolate the agnathan lymphocyte-like cells to indistinguishable from mammalian lymphocytes. A cDNA library characterize them morphologically and by the genes they was prepared from the lamprey lymphocyte-like cells, and more express. than 8,000 randomly selected clones were sequenced. Homology searches comparing these ESTs with sequences deposited in the Materials and Methods databases led to the identification of numerous genes homologous Source and Preparation of Cell Suspension. Ammocoete larvae to those predominantly or characteristically expressed in mamma- (8–13 cm long) of the sea lamprey, Petromyzon marinus (from lian lymphocytes, which included genes controlling lymphopoiesis, Lake Huron, MI) were dissected along the ventral side to extract intracellular signaling, proliferation, migration, and involvement the intestine and the associated typhlosole (spiral valve). Cells of lymphocytes in innate immune responses. -
Role of Phytochemicals in Colon Cancer Prevention: a Nutrigenomics Approach
Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan J van Erk Promotor: Prof. Dr. P.J. van Bladeren Hoogleraar in de Toxicokinetiek en Biotransformatie Wageningen Universiteit Co-promotoren: Dr. Ir. J.M.M.J.G. Aarts Universitair Docent, Sectie Toxicologie Wageningen Universiteit Dr. Ir. B. van Ommen Senior Research Fellow Nutritional Systems Biology TNO Voeding, Zeist Promotiecommissie: Prof. Dr. P. Dolara University of Florence, Italy Prof. Dr. J.A.M. Leunissen Wageningen Universiteit Prof. Dr. J.C. Mathers University of Newcastle, United Kingdom Prof. Dr. M. Müller Wageningen Universiteit Dit onderzoek is uitgevoerd binnen de onderzoekschool VLAG Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan Jolanda van Erk Proefschrift ter verkrijging van graad van doctor op gezag van de rector magnificus van Wageningen Universiteit, Prof.Dr.Ir. L. Speelman, in het openbaar te verdedigen op vrijdag 1 oktober 2004 des namiddags te vier uur in de Aula Title Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Author Marjan Jolanda van Erk Thesis Wageningen University, Wageningen, the Netherlands (2004) with abstract, with references, with summary in Dutch ISBN 90-8504-085-X ABSTRACT Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Specific food compounds, especially from fruits and vegetables, may protect against development of colon cancer. In this thesis effects and mechanisms of various phytochemicals in relation to colon cancer prevention were studied through application of large-scale gene expression profiling. Expression measurement of thousands of genes can yield a more complete and in-depth insight into the mode of action of the compounds. -
PSMA2 Rabbit Mab
Leader in Biomolecular Solutions for Life Science PSMA2 Rabbit mAb Catalog No.: A9182 Recombinant Basic Information Background Catalog No. The proteasome is a multicatalytic proteinase complex with a highly ordered ring- A9182 shaped 20S core structure. The core structure is composed of 4 rings of 28 non-identical subunits; 2 rings are composed of 7 alpha subunits and 2 rings are composed of 7 beta Observed MW subunits. Proteasomes are distributed throughout eukaryotic cells at a high 26KDa concentration and cleave peptides in an ATP/ubiquitin-dependent process in a non- lysosomal pathway. An essential function of a modified proteasome, the Calculated MW immunoproteasome, is the processing of class I MHC peptides. This gene encodes a 25kDa member of the peptidase T1A family, that is a 20S core alpha subunit. [provided by RefSeq, Jul 2008] Category Primary antibody Applications WB, IHC, IF Cross-Reactivity Human, Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 5683 P25787 IHC 1:50 - 1:200 Immunogen 1:50 - 1:200 IF A synthesized peptide derived from human PSMA2 Synonyms HC3; MU; PMSA2; PSC2 Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,0.05% BSA,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of various cell lines, using PSMA2 Rabbit mAb (A9182) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
Systematic Identification of Cancer Cell Vulnerabilities to Natural Killer Cell
bioRxiv preprint doi: https://doi.org/10.1101/597567; this version posted April 2, 2019. 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-NC-ND 4.0 International license. 1 2 Systematic identification of cancer cell vulnerabilities to natural killer 3 cell-mediated immune surveillance 4 5 Matthew F. Pech, Jacqueline E. Villalta, Leanne J.G. Chan, Samir Kharbanda, Jonathon J. 6 O’Brien, Fiona E. McAllister, Ari J. Firestone, Calvin H. Jan, Jeff Settleman# 7 8 Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, CA, United States 9 #correspondence: [email protected] 10 1 bioRxiv preprint doi: https://doi.org/10.1101/597567; this version posted April 2, 2019. 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-NC-ND 4.0 International license. 11 Abstract 12 13 Only a subset of patients respond to therapies that stimulate T-cell responses to cancer, 14 highlighting the need for alternative strategies to promote anti-cancer immunity. Here, we 15 performed genome-scale CRISPR-Cas9 screens in a human MHC-deficient leukemic cancer cell 16 line to systematically identify perturbations that enhance natural killer (NK) effector functions. 17 Our screens defined critical components of the tumor-immune synapse and highlighted the 18 importance of cancer cell interferon-g (IFNg) signaling in promoting NK activity. -
Cell Type-Specific Analysis of Human Interactome and Transcriptome Shahin Mohammadi Purdue University
Purdue University Purdue e-Pubs Open Access Dissertations Theses and Dissertations January 2016 Cell Type-specific Analysis of Human Interactome and Transcriptome Shahin Mohammadi Purdue University Follow this and additional works at: https://docs.lib.purdue.edu/open_access_dissertations Recommended Citation Mohammadi, Shahin, "Cell Type-specific Analysis of Human Interactome and Transcriptome" (2016). Open Access Dissertations. 1371. https://docs.lib.purdue.edu/open_access_dissertations/1371 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. Graduate School Form 30 Updated 12/26/2015 PURDUE UNIVERSITY GRADUATE SCHOOL Thesis/Dissertation Acceptance This is to certify that the thesis/dissertation prepared By Shahin Mohammadi Entitled CELL TYPE-SPECIFIC ANALYSIS OF HUMAN INTERACTOME AND TRANSCRIPTOME For the degree of Doctor of Philosophy Is approved by the final examining committee: Ananth Grama Wojciech Szpankowski Chair David Gleich Jennifer Neville Markus Lill To the best of my knowledge and as understood by the student in the Thesis/Dissertation Agreement, Publication Delay, and Certification Disclaimer (Graduate School Form 32), this thesis/dissertation adheres to the provisions of Purdue University’s “Policy of Integrity in Research” and the use of copyright material. Approved by Major Professor(s): Ananth Grama William Gorman, Assistant to the Department Head 11/1/2016 Approved by: Head of the Departmental Graduate Program Date CELL TYPE-SPECIFIC ANALYSIS OF HUMAN INTERACTOME AND TRANSCRIPTOME A Dissertation Submitted to the Faculty of Purdue University by Shahin Mohammadi In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2016 Purdue University West Lafayette, Indiana ii I dedicate this thesis to my mom, whose role in my life I can not even begin to describe. -
Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes
International Journal of Environmental Research and Public Health Article Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes Yueh-Han Hsu 1,2, Peng-Hui Wang 1,2,3,4,5 and Chia-Ming Chang 1,2,* 1 Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; [email protected] (Y.-H.H.); [email protected] (P.-H.W.) 2 School of Medicine, National Yang-Ming University, Taipei 112, Taiwan 3 Institute of Clinical Medicine, National Yang-Ming University, Taipei 112, Taiwan 4 Department of Medical Research, China Medical University Hospital, Taichung 440, Taiwan 5 Female Cancer Foundation, Taipei 104, Taiwan * Correspondence: [email protected]; Tel.: +886-2-2875-7826; Fax: +886-2-5570-2788 Received: 27 April 2020; Accepted: 31 May 2020; Published: 2 June 2020 Abstract: Clear cell carcinoma of the ovary (ovarian clear cell carcinoma (OCCC)) is one epithelial ovarian carcinoma that is known to have a poor prognosis and a tendency for being refractory to treatment due to unclear pathogenesis. Published investigations of OCCC have mainly focused only on individual genes and lack of systematic integrated research to analyze the pathogenesis of OCCC in a genome-wide perspective. Thus, we conducted an integrated analysis using transcriptome datasets from a public domain database to determine genes that may be implicated in the pathogenesis involved in OCCC carcinogenesis. We used the data obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) DataSets. We found six interactive functional gene clusters in the pathogenesis network of OCCC, including ribosomal protein, eukaryotic translation initiation factors, lactate, prostaglandin, proteasome, and insulin-like growth factor.