Co-Amplification of a Novel Cyclophilin-Like Gene (PPIE) with L
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Identification of the Binding Partners for Hspb2 and Cryab Reveals
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2013-12-12 Identification of the Binding arP tners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non- Redundant Roles for Small Heat Shock Proteins Kelsey Murphey Langston Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Microbiology Commons BYU ScholarsArchive Citation Langston, Kelsey Murphey, "Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins" (2013). Theses and Dissertations. 3822. https://scholarsarchive.byu.edu/etd/3822 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Julianne H. Grose, Chair William R. McCleary Brian Poole Department of Microbiology and Molecular Biology Brigham Young University December 2013 Copyright © 2013 Kelsey Langston All Rights Reserved ABSTRACT Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactors and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston Department of Microbiology and Molecular Biology, BYU Master of Science Small Heat Shock Proteins (sHSP) are molecular chaperones that play protective roles in cell survival and have been shown to possess chaperone activity. -
Alternative Cleavage and Polyadenylation During Colorectal Cancer Development
Author Manuscript Published OnlineFirst on August 8, 2012; DOI: 10.1158/1078-0432.CCR-12-0543 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Alternative cleavage and polyadenylation during colorectal cancer development Adam R. Morris1#, Arnold Bos1#, Begoña Diosdado2, Koos Rooijers1, Ran Elkon1, Anne S. Bolijn2, Beatriz Carvalho2, Gerrit A. Meijer2, and Reuven Agami1,3$ 1. Division of Gene Regulation, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands 2. Department of Pathology VU medical centre, De Boelelaan 1117, 1081HV Amsterdam, The Netherlands 3. The Centre for Biomedical Genetics, The Netherlands Running Title: Alternative polyadenylation in colorectal cancer Keywords: Alternative cleavage and polyadenylation, colorectal cancer, next generation sequencing, Adenoma, carcinoma Conflicts of interest: none Word count: 4055 Tables: 2; Figures: 3 # These authors contributed equally to this work $Email: [email protected] Tel. +31(0)20 512 2079 Fax. +31(0)20 512 1999 Downloaded from clincancerres.aacrjournals.org on September 28, 2021. © 2012 American Association for Cancer Research. Author Manuscript Published OnlineFirst on August 8, 2012; DOI: 10.1158/1078-0432.CCR-12-0543 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. ABSTRACT Purpose: Alternative cleavage and polyadenylation (APA) of mRNAs is a phenomenon that alters 3'-untranslated region length leading to altered posttranscriptional regulation of gene expression. Changing APA patterns have been shown to result in mis-regulation of genes involved in carcinogenesis, therefore we hypothesized that altered APA contributes to progression of colorectal cancer, and that measurement of APA may lead to discovery of novel biomarkers. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology 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. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Compression of Large Sets of Sequence Data Reveals Fine Diversification of Functional Profiles in Multigene Families of Proteins
Technical note Compression of Large Sets of Sequence Data Reveals Fine Diversification of Functional Profiles in Multigene Families of Proteins: A Study for Peptidyl-Prolyl cis/trans Isomerases (PPIase) Andrzej Galat Retired from: Service d’Ingénierie Moléculaire des Protéines (SIMOPRO), CEA-Université Paris-Saclay, France; [email protected]; Tel.: +33-0164465072 Received: 21 December 2018; Accepted: 21 January 2019; Published: 11 February 2019 Abstract: In this technical note, we describe analyses of more than 15,000 sequences of FK506- binding proteins (FKBP) and cyclophilins, also known as peptidyl-prolyl cis/trans isomerases (PPIases). We have developed a novel way of displaying relative changes of amino acid (AA)- residues at a given sequence position by using heat-maps. This type of representation allows simultaneous estimation of conservation level in a given sequence position in the entire group of functionally-related paralogues (multigene family of proteins). We have also proposed that at least two FKBPs, namely FKBP36, encoded by the Fkbp6 gene and FKBP51, encoded by the Fkbp5 gene, can form dimers bound via a disulfide bridge in the nucleus. This type of dimer may have some crucial function in the regulation of some nuclear complexes at different stages of the cell cycle. Keywords: FKBP; cyclophilin; PPIase; heat-map; immunophilin 1 Introduction About 30 years ago, an exciting adventure began in finding some correlations between pharmacological activities of macrocyclic hydrophobic drugs, namely the cyclic peptide cyclosporine A (CsA), and two macrolides, namely FK506 and rapamycin, which have profound and clinically useful immunosuppressive effects, especially in organ transplantations and in combating some immune disorders. -
Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin
cells Review Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin Agnieszka Bochy ´nska,Juliane Lüscher-Firzlaff and Bernhard Lüscher * ID Institute of Biochemistry and Molecular Biology, Medical School, RWTH Aachen University, Pauwelsstrasse 30, 52057 Aachen, Germany; [email protected] (A.B.); jluescher-fi[email protected] (J.L.-F.) * Correspondence: [email protected]; Tel.: +49-241-8088850; Fax: +49-241-8082427 Received: 18 January 2018; Accepted: 27 February 2018; Published: 2 March 2018 Abstract: Regulation of gene expression is achieved by sequence-specific transcriptional regulators, which convey the information that is contained in the sequence of DNA into RNA polymerase activity. This is achieved by the recruitment of transcriptional co-factors. One of the consequences of co-factor recruitment is the control of specific properties of nucleosomes, the basic units of chromatin, and their protein components, the core histones. The main principles are to regulate the position and the characteristics of nucleosomes. The latter includes modulating the composition of core histones and their variants that are integrated into nucleosomes, and the post-translational modification of these histones referred to as histone marks. One of these marks is the methylation of lysine 4 of the core histone H3 (H3K4). While mono-methylation of H3K4 (H3K4me1) is located preferentially at active enhancers, tri-methylation (H3K4me3) is a mark found at open and potentially active promoters. Thus, H3K4 methylation is typically associated with gene transcription. The class 2 lysine methyltransferases (KMTs) are the main enzymes that methylate H3K4. KMT2 enzymes function in complexes that contain a necessary core complex composed of WDR5, RBBP5, ASH2L, and DPY30, the so-called WRAD complex. -
Figure S1. DMD Module Network. the Network Is Formed by 260 Genes from Disgenet and 1101 Interactions from STRING. Red Nodes Are the Five Seed Candidate Genes
Figure S1. DMD module network. The network is formed by 260 genes from DisGeNET and 1101 interactions from STRING. Red nodes are the five seed candidate genes. Figure S2. DMD module network is more connected than a random module of the same size. It is shown the distribution of the largest connected component of 10.000 random modules of the same size of the DMD module network. The green line (x=260) represents the DMD largest connected component, obtaining a z-score=8.9. Figure S3. Shared genes between BMD and DMD signature. A) A meta-analysis of three microarray datasets (GSE3307, GSE13608 and GSE109178) was performed for the identification of differentially expressed genes (DEGs) in BMD muscle biopsies as compared to normal muscle biopsies. Briefly, the GSE13608 dataset included 6 samples of skeletal muscle biopsy from healthy people and 5 samples from BMD patients. Biopsies were taken from either biceps brachii, triceps brachii or deltoid. The GSE3307 dataset included 17 samples of skeletal muscle biopsy from healthy people and 10 samples from BMD patients. The GSE109178 dataset included 14 samples of controls and 11 samples from BMD patients. For both GSE3307 and GSE10917 datasets, biopsies were taken at the time of diagnosis and from the vastus lateralis. For the meta-analysis of GSE13608, GSE3307 and GSE109178, a random effects model of effect size measure was used to integrate gene expression patterns from the two datasets. Genes with an adjusted p value (FDR) < 0.05 and an │effect size│>2 were identified as DEGs and selected for further analysis. A significant number of DEGs (p<0.001) were in common with the DMD signature genes (blue nodes), as determined by a hypergeometric test assessing the significance of the overlap between the BMD DEGs and the number of DMD signature genes B) MCODE analysis of the overlapping genes between BMD DEGs and DMD signature genes. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis
International Journal of Molecular Sciences Review Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis Elzbieta Poreba 1,* , Krzysztof Lesniewicz 2 and Julia Durzynska 1,* 1 Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland 2 Department of Molecular and Cellular Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland; [email protected] * Correspondence: [email protected] (E.P.); [email protected] (J.D.); Tel.: +48-61-829-5857 (E.P.) Received: 19 November 2020; Accepted: 6 December 2020; Published: 8 December 2020 Abstract: KMT2 (histone-lysine N-methyltransferase subclass 2) complexes methylate lysine 4 on the histone H3 tail at gene promoters and gene enhancers and, thus, control the process of gene transcription. These complexes not only play an essential role in normal development but have also been described as involved in the aberrant growth of tissues. KMT2 mutations resulting from the rearrangements of the KMT2A (MLL1) gene at 11q23 are associated with pediatric mixed-lineage leukemias, and recent studies demonstrate that KMT2 genes are frequently mutated in many types of human cancers. Moreover, other components of the KMT2 complexes have been reported to contribute to oncogenesis. This review summarizes the recent advances in our knowledge of the role of KMT2 complexes in cell transformation. In addition, it discusses the therapeutic targeting of different components of the KMT2 complexes. Keywords: histone–lysine N-methyltransferase 2; COMPASS; COMPASS-like; H3K4 methylation; oncogenesis; cancer; epigenetics; chromatin 1. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Mir-29C Is Downregulated in Gastric Carcinomas and Regulates Cell
Matsuo et al. Molecular Cancer 2013, 12:15 http://www.molecular-cancer.com/content/12/1/15 RESEARCH Open Access MiR-29c is downregulated in gastric carcinomas and regulates cell proliferation by targeting RCC2 Mitsuhiro Matsuo1†, Chisato Nakada1†, Yoshiyuki Tsukamoto1*, Tsuyoshi Noguchi2, Tomohisa Uchida1, Naoki Hijiya1, Keiko Matsuura1 and Masatsugu Moriyama1 Abstract Background: Previously, using miRNA microarray, we have found that miR-29c is significantly downregulated in advanced gastric carcinoma. In the present study, we investigated whether miR-29c functions as a tumor- suppressor miRNA in gastric carcinoma cells. For this purpose, we verified the downregulation of miR-29c in gastric carcinoma tissues, and assessed the biological effect of miR-29c on gastric carcinoma cells. Results: In miR-29c-transfected cells, both proliferation and colony formation ability on soft agar were significantly decreased. Although apoptosis was not induced, BrdU incorporation and the proportion of cells positive for phospho-histone H3 (S10) were significantly decreased in miR-29c-transfected cells, indicating that miR-29c may be involved in the regulation of cell proliferation. To explain the mechanism of growth suppression by miR-29c, we explored differentially expressed genes (>2-fold) in miR-29c-transfected cells in comparison with negative control transfected cells using microarray. RCC2, PPIC and CDK6 were commonly downregulated in miR-29c-transfected MKN45, MKN7 and MKN74 cells, and all of the genes harbored miR-29c target sequences in the 3’-UTR of their mRNA. RCC2 and PPIC were actually upregulated in gastric carcinoma tissues, and therefore both were identified as possible targets of miR-29c in gastric carcinoma. -
Anti-PPIE Antibody [17E8] (ARG57492)
Product datasheet [email protected] ARG57492 Package: 50 μl anti-PPIE antibody [17E8] Store at: -20°C Summary Product Description Mouse Monoclonal antibody [17E8] recognizes PPIE Tested Reactivity Hu Tested Application WB Host Mouse Clonality Monoclonal Clone 17E8 Isotype IgG1, kappa Target Name PPIE Antigen Species Human Immunogen Recombinant Human PPIE (aa. 1-301aa) purified from E. coli. Conjugation Un-conjugated Alternate Names Cyclophilin-33; CYP-33; Cyclophilin E; PPIase E; EC 5.2.1.8; Peptidyl-prolyl cis-trans isomerase E; CYP33; Rotamase E Application Instructions Application table Application Dilution WB 1:1000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 33 kDa Properties Form Liquid Purification Purification with Protein A. Buffer PBS (pH 7.4), 0.02% Sodium azide and 10% Glycerol. Preservative 0.02% Sodium azide Stabilizer 10% Glycerol Concentration 1 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/2 Bioinformation Gene Symbol PPIE Gene Full Name peptidylprolyl isomerase E (cyclophilin E) Background The protein encoded by this gene is a member of the peptidyl-prolyl cis-trans isomerase (PPIase) family. PPIases catalyze the cis-trans isomerization of proline imidic peptide bonds in oligopeptides and accelerate the folding of proteins. -
Cross-Species Single-Cell Analysis of Pancreatic Ductal Adenocarcinoma Reveals Antigen-Presenting Cancer-Associated Fibroblasts
Author Manuscript Published OnlineFirst on June 13, 2019; DOI: 10.1158/2159-8290.CD-19-0094 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts Ela Elyada1,2, Mohan Bolisetty3,4,14, Pasquale Laise5,14, William F. Flynn3,14, Elise T. Courtois3, Richard A. Burkhart6, Jonathan A. Teinor6, Pascal Belleau1, Giulia Biffi1,2, Matthew S. Lucito1,2, Santhosh Sivajothi3, Todd D. Armstrong6, Dannielle D. Engle1,2,7, Kenneth H. Yu8, Yuan Hao1, Christopher L. Wolfgang6, Youngkyu Park1,2, Jonathan Preall1, Elizabeth M. Jaffee6, Andrea Califano5,9-12, Paul Robson3,13 and David A. Tuveson1,2. 1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA 2Lustgarten Foundation Pancreatic Cancer Research Laboratory, Cold Spring Harbor, NY 11724, USA. 3The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA 4Bristol-Myers Squibb, Pennington, NJ, USA 5Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA 6Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA. 7Salk institute for Biological Studies, La Jolla, CA 92037 8Memorial Sloan Kettering Cancer Center, New York, NY, USA 9Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA 10J.P. Sulzberger Columbia Genome Center, Columbia University, New York, NY 10032, USA 11Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA 12Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA 13Department of Genetics and Genome Sciences, Institute for Systems Genomics, University of Connecticut, Farmington, CT, USA 14Equal contribution Running title Antigen-presenting CAFs in PDAC Keywords Single-cell analysis, pancreatic cancer, CAFs, MHC class II, heterogeneity *Co-corresponding authors: David A.