Gene Symbol Gene Title Adj. P-‐Value Fold Change ( Prim/UT to Met
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Nuclear Import Protein KPNA7 and Its Cargos Acta Universitatis Tamperensis 2346
ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos ELISA Acta Universitatis Tamperensis 2346 ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos Diverse roles in the regulation of cancer cell growth, mitosis and nuclear morphology AUT 2346 AUT ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos Diverse roles in the regulation of cancer cell growth, mitosis and nuclear morphology ACADEMIC DISSERTATION To be presented, with the permission of the Faculty Council of the Faculty of Medicine and Life Sciences of the University of Tampere, for public discussion in the auditorium F114 of the Arvo building, Arvo Ylpön katu 34, Tampere, on 9 February 2018, at 12 o’clock. UNIVERSITY OF TAMPERE ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos Diverse roles in the regulation of cancer cell growth, mitosis and nuclear morphology Acta Universitatis Tamperensis 2346 Tampere University Press Tampere 2018 ACADEMIC DISSERTATION University of Tampere, Faculty of Medicine and Life Sciences Finland Supervised by Reviewed by Professor Anne Kallioniemi Docent Pia Vahteristo University of Tampere University of Helsinki Finland Finland Docent Maria Vartiainen University of Helsinki Finland The originality of this thesis has been checked using the Turnitin OriginalityCheck service in accordance with the quality management system of the University of Tampere. Copyright ©2018 Tampere University Press and the author Cover design by Mikko Reinikka Acta Universitatis Tamperensis 2346 Acta Electronica Universitatis Tamperensis 1851 ISBN 978-952-03-0641-0 (print) ISBN 978-952-03-0642-7 (pdf) ISSN-L 1455-1616 ISSN 1456-954X ISSN 1455-1616 http://tampub.uta.fi Suomen Yliopistopaino Oy – Juvenes Print Tampere 2018 441 729 Painotuote CONTENTS List of original communications ................................................................................................ -
Anti-ARL4A Antibody (ARG41291)
Product datasheet [email protected] ARG41291 Package: 100 μl anti-ARL4A antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes ARL4A Tested Reactivity Hu, Ms, Rat Tested Application ICC/IF, IHC-P Host Rabbit Clonality Polyclonal Isotype IgG Target Name ARL4A Antigen Species Human Immunogen Recombinant fusion protein corresponding to aa. 121-200 of Human ARL4A (NP_001032241.1). Conjugation Un-conjugated Alternate Names ARL4; ADP-ribosylation factor-like protein 4A Application Instructions Application table Application Dilution ICC/IF 1:50 - 1:200 IHC-P 1:50 - 1:200 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 23 kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol 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 ARL4A Gene Full Name ADP-ribosylation factor-like 4A Background ADP-ribosylation factor-like 4A is a member of the ADP-ribosylation factor family of GTP-binding proteins. ARL4A is similar to ARL4C and ARL4D and each has a nuclear localization signal and an unusually high guaninine nucleotide exchange rate. -
A Molecular Switch from STAT2-IRF9 to ISGF3 Underlies Interferon-Induced Gene Transcription
ARTICLE https://doi.org/10.1038/s41467-019-10970-y OPEN A molecular switch from STAT2-IRF9 to ISGF3 underlies interferon-induced gene transcription Ekaterini Platanitis 1, Duygu Demiroz1,5, Anja Schneller1,5, Katrin Fischer1, Christophe Capelle1, Markus Hartl 1, Thomas Gossenreiter 1, Mathias Müller2, Maria Novatchkova3,4 & Thomas Decker 1 Cells maintain the balance between homeostasis and inflammation by adapting and inte- grating the activity of intracellular signaling cascades, including the JAK-STAT pathway. Our 1234567890():,; understanding of how a tailored switch from homeostasis to a strong receptor-dependent response is coordinated remains limited. Here, we use an integrated transcriptomic and proteomic approach to analyze transcription-factor binding, gene expression and in vivo proximity-dependent labelling of proteins in living cells under homeostatic and interferon (IFN)-induced conditions. We show that interferons (IFN) switch murine macrophages from resting-state to induced gene expression by alternating subunits of transcription factor ISGF3. Whereas preformed STAT2-IRF9 complexes control basal expression of IFN-induced genes (ISG), both type I IFN and IFN-γ cause promoter binding of a complete ISGF3 complex containing STAT1, STAT2 and IRF9. In contrast to the dogmatic view of ISGF3 formation in the cytoplasm, our results suggest a model wherein the assembly of the ISGF3 complex occurs on DNA. 1 Max Perutz Labs (MPL), University of Vienna, Vienna 1030, Austria. 2 Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria. 3 Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna 1030, Austria. 4 Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna 1030, Austria. -
Genome-Wide Prediction of Small Molecule Binding to Remote
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.236729; this version posted August 5, 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 Genome-wide Prediction of Small Molecule Binding 2 to Remote Orphan Proteins Using Distilled Sequence 3 Alignment Embedding 1 2 3 4 4 Tian Cai , Hansaim Lim , Kyra Alyssa Abbu , Yue Qiu , 5,6 1,2,3,4,7,* 5 Ruth Nussinov , and Lei Xie 1 6 Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York, 10016, USA 2 7 Ph.D. Program in Biochemistry, The Graduate Center, The City University of New York, New York, 10016, USA 3 8 Department of Computer Science, Hunter College, The City University of New York, New York, 10065, USA 4 9 Ph.D. Program in Biology, The Graduate Center, The City University of New York, New York, 10016, USA 5 10 Computational Structural Biology Section, Basic Science Program, Frederick National Laboratory for Cancer Research, 11 Frederick, MD 21702, USA 6 12 Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel 13 Aviv, Israel 7 14 Helen and Robert Appel Alzheimer’s Disease Research Institute, Feil Family Brain & Mind Research Institute, Weill 15 Cornell Medicine, Cornell University, New York, 10021, USA * 16 [email protected] 17 July 27, 2020 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.236729; this version posted August 5, 2020. -
Edinburgh Research Explorer
Edinburgh Research Explorer International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list Citation for published version: Davenport, AP, Alexander, SPH, Sharman, JL, Pawson, AJ, Benson, HE, Monaghan, AE, Liew, WC, Mpamhanga, CP, Bonner, TI, Neubig, RR, Pin, JP, Spedding, M & Harmar, AJ 2013, 'International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list: recommendations for new pairings with cognate ligands', Pharmacological reviews, vol. 65, no. 3, pp. 967-86. https://doi.org/10.1124/pr.112.007179 Digital Object Identifier (DOI): 10.1124/pr.112.007179 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Pharmacological reviews Publisher Rights Statement: U.S. Government work not protected by U.S. copyright General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 1521-0081/65/3/967–986$25.00 http://dx.doi.org/10.1124/pr.112.007179 PHARMACOLOGICAL REVIEWS Pharmacol Rev 65:967–986, July 2013 U.S. -
Amphioxus Adaptive Immune System: the Insights from Genes
The Journal of Immunology Genes “Waiting” for Recruitment by the Adaptive Immune System: The Insights from Amphioxus1 Cuiling Yu,2* Meiling Dong,2* Xiaokun Wu,2* Shengguo Li,§ Shengfeng Huang,* Jing Su,* Jianwen Wei,* Yang Shen,* Chunyan Mou,* Xiaojin Xie,* Jianghai Lin,* Shaochun Yuan,* Xuesong Yu,* Yanhong Yu,* Jingchun Du,* Shicui Zhang,† Xuanxian Peng,‡ Mengqing Xiang,§ and Anlong Xu3* In seeking evidence of the existence of adaptive immune system (AIS) in ancient chordate, cDNA clones of six libraries from a protochordate, the Chinese amphioxus, were sequenced. Although the key molecules such as TCR, MHC, Ig, and RAG in AIS have not been identified from our database, we demonstrated in this study the extensive molecular evidence for the presence of genes homologous to many genes that are involved in AIS directly or indirectly, including some of which may represent the putative precursors of vertebrate AIS-related genes. The comparative analyses of these genes in different model organisms revealed the different fates of these genes during evolution. Their gene expression pattern suggested that the primitive digestive system is the pivotal place of the origin and evolution of the AIS. Our studies support the general statement that AIS appears after the jawless/jawed vertebrate split. However our study further reveals the fact that AIS is in its twilight in amphioxus and the evolution of the molecules in amphioxus are waiting for recruitment by the emergence of AIS. The Journal of Immunology, 2005, 174: 3493–3500. he hallmark of the adaptive immune system (AIS)4 is the brate (2, 3). The studies for the origin of the AIS focus on many presence of cells and molecules participating in the im- aspects: the origin of the Ag receptor, Ag processing and presen- T mune recognition of foreign pathogens and the memory tation system, and the effector cells (3, 4). -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
The UVB-Induced Gene Expression Profile of Human Epidermis in Vivo Is Different from That of Cultured Keratinocytes
Oncogene (2006) 25, 2601–2614 & 2006 Nature Publishing Group All rights reserved 0950-9232/06 $30.00 www.nature.com/onc ORIGINAL ARTICLE The UVB-induced gene expression profile of human epidermis in vivo is different from that of cultured keratinocytes CD Enk1, J Jacob-Hirsch2, H Gal3, I Verbovetski4, N Amariglio2, D Mevorach4, A Ingber1, D Givol3, G Rechavi2 and M Hochberg1 1Department of Dermatology, The Hadassah-Hebrew University Medical Center, Jerusalem, Israel; 2Department of Pediatric Hemato-Oncology and Functional Genomics, Safra Children’s Hospital, Sheba Medical Center and Sackler School of Medicine, Tel-Aviv University,Tel Aviv, Israel; 3Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel and 4The Laboratory for Cellular and Molecular Immunology, Department of Medicine, The Hadassah-Hebrew University Medical Center, Jerusalem, Israel In order to obtain a comprehensive picture of the radiation. UVB, with a wavelength range between 290 molecular events regulating cutaneous photodamage of and 320 nm, represents one of the most important intact human epidermis, suction blister roofs obtained environmental hazards affectinghuman skin (Hahn after a single dose of in vivo ultraviolet (UV)B exposure and Weinberg, 2002). To protect itself against the were used for microarray profiling. We found a changed DNA-damaging effects of sunlight, the skin disposes expression of 619 genes. Half of the UVB-regulated genes over highly complicated cellular programs, including had returned to pre-exposure baseline levels at 72 h, cell-cycle arrest, DNA repair and apoptosis (Brash et al., underscoring the transient character of the molecular 1996). Failure in selected elements of these defensive cutaneous UVB response. -
Genome-Scale Identification of Transcription Factors That Mediate An
ARTICLE DOI: 10.1038/s41467-018-04406-2 OPEN Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation Zhe Ji 1,2,4, Lizhi He1, Asaf Rotem1,2,5, Andreas Janzer1,6, Christine S. Cheng2,7, Aviv Regev2,3 & Kevin Struhl 1 Transient activation of Src oncoprotein in non-transformed, breast epithelial cells can initiate an epigenetic switch to the stably transformed state via a positive feedback loop that involves 1234567890():,; the inflammatory transcription factors STAT3 and NF-κB. Here, we develop an experimental and computational pipeline that includes 1) a Bayesian network model (AccessTF) that accurately predicts protein-bound DNA sequence motifs based on chromatin accessibility, and 2) a scoring system (TFScore) that rank-orders transcription factors as candidates for being important for a biological process. Genetic experiments validate TFScore and suggest that more than 40 transcription factors contribute to the oncogenic state in this model. Interestingly, individual depletion of several of these factors results in similar transcriptional profiles, indicating that a complex and interconnected transcriptional network promotes a stable oncogenic state. The combined experimental and computational pipeline represents a general approach to comprehensively identify transcriptional regulators important for a biological process. 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. 2 Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. 3 Department of Biology, Howard Hughes Medical Institute and David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 20140, USA. 4Present address: Department of Pharmacology and Biomedical Engineering, Northwestern University, Evanston 60611 IL, USA. -
Diversification of Importin-Α Isoforms in Cellular Trafficking and Disease States
Thomas Jefferson University Jefferson Digital Commons Department of Biochemistry and Molecular Biology Department of Biochemistry and Molecular Biology Faculty Papers 2-15-2015 Diversification of importin-α isoforms in cellular trafficking and disease states. Ruth A. Pumroy Thomas Jefferson University, [email protected] Gino Cingolani Thomas Jefferson University, [email protected] Let us know how access to this document benefits ouy Follow this and additional works at: https://jdc.jefferson.edu/bmpfp Part of the Medical Biochemistry Commons Recommended Citation Pumroy, Ruth A. and Cingolani, Gino, "Diversification of importin-α isoforms in cellular trafficking and disease states." (2015). Department of Biochemistry and Molecular Biology Faculty Papers. Paper 107. https://jdc.jefferson.edu/bmpfp/107 This Article is brought to you for free and open access by the Jefferson Digital Commons. The effeJ rson Digital Commons is a service of Thomas Jefferson University's Center for Teaching and Learning (CTL). The ommonC s is a showcase for Jefferson books and journals, peer-reviewed scholarly publications, unique historical collections from the University archives, and teaching tools. The effeJ rson Digital Commons allows researchers and interested readers anywhere in the world to learn about and keep up to date with Jefferson scholarship. This article has been accepted for inclusion in Department of Biochemistry and Molecular Biology Faculty Papers by an authorized administrator of the Jefferson Digital Commons. For more information, please contact: [email protected]. HHS Public Access Author manuscript Author Manuscript Author ManuscriptBiochem Author Manuscript J. Author manuscript; Author Manuscript available in PMC 2015 April 21. Published in final edited form as: Biochem J. -
Functional Annotation of Novel Lineage-Specific Genes Using Co-Expression and Promoter Analysis Charu G Kumar1, Robin E Everts1,3, Juan J Loor1, Harris a Lewin1,2*
Kumar et al. BMC Genomics 2010, 11:161 http://www.biomedcentral.com/1471-2164/11/161 RESEARCH ARTICLE Open Access Functional annotation of novel lineage-specific genes using co-expression and promoter analysis Charu G Kumar1, Robin E Everts1,3, Juan J Loor1, Harris A Lewin1,2* Abstract Background: The diversity of placental architectures within and among mammalian orders is believed to be the result of adaptive evolution. Although, the genetic basis for these differences is unknown, some may arise from rapidly diverging and lineage-specific genes. Previously, we identified 91 novel lineage-specific transcripts (LSTs) from a cow term-placenta cDNA library, which are excellent candidates for adaptive placental functions acquired by the ruminant lineage. The aim of the present study was to infer functions of previously uncharacterized lineage- specific genes (LSGs) using co-expression, promoter, pathway and network analysis. Results: Clusters of co-expressed genes preferentially expressed in liver, placenta and thymus were found using 49 previously uncharacterized LSTs as seeds. Over-represented composite transcription factor binding sites (TFBS) in promoters of clustered LSGs and known genes were then identified computationally. Functions were inferred for nine previously uncharacterized LSGs using co-expression analysis and pathway analysis tools. Our results predict that these LSGs may function in cell signaling, glycerophospholipid/fatty acid metabolism, protein trafficking, regulatory processes in the nucleus, and processes that initiate parturition and immune system development. Conclusions: The placenta is a rich source of lineage-specific genes that function in the adaptive evolution of placental architecture and functions. We have shown that co-expression, promoter, and gene network analyses are useful methods to infer functions of LSGs with heretofore unknown functions. -
1 Supplemental Material Maresin 1 Activates LGR6 Receptor
Supplemental Material Maresin 1 Activates LGR6 Receptor Promoting Phagocyte Immunoresolvent Functions Nan Chiang, Stephania Libreros, Paul C. Norris, Xavier de la Rosa, Charles N. Serhan Center for Experimental Therapeutics and Reperfusion Injury, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. 1 Supplemental Table 1. Screening of orphan GPCRs with MaR1 Vehicle Vehicle MaR1 MaR1 mean RLU > GPCR ID SD % Activity Mean RLU Mean RLU + 2 SD Mean RLU Vehicle mean RLU+2 SD? ADMR 930920 33283 997486.5381 863760 -7% BAI1 172580 18362 209304.1828 176160 2% BAI2 26390 1354 29097.71737 26240 -1% BAI3 18040 758 19555.07976 18460 2% CCRL2 15090 402 15893.6583 13840 -8% CMKLR2 30080 1744 33568.954 28240 -6% DARC 119110 4817 128743.8016 126260 6% EBI2 101200 6004 113207.8197 105640 4% GHSR1B 3940 203 4345.298244 3700 -6% GPR101 41740 1593 44926.97349 41580 0% GPR103 21413 1484 24381.25067 23920 12% NO GPR107 366800 11007 388814.4922 360020 -2% GPR12 77980 1563 81105.4653 76260 -2% GPR123 1485190 46446 1578081.986 1342640 -10% GPR132 860940 17473 895885.901 826560 -4% GPR135 18720 1656 22032.6827 17540 -6% GPR137 40973 2285 45544.0809 39140 -4% GPR139 438280 16736 471751.0542 413120 -6% GPR141 30180 2080 34339.2307 29020 -4% GPR142 105250 12089 129427.069 101020 -4% GPR143 89390 5260 99910.40557 89380 0% GPR146 16860 551 17961.75617 16240 -4% GPR148 6160 484 7128.848113 7520 22% YES GPR149 50140 934 52008.76073 49720 -1% GPR15 10110 1086 12282.67884