Trapping of the Transport-Segment DNA by the Atpase Domains of a Type II Topoisomerase
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1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Supporting Information
Supporting Information Barshis et al. 10.1073/pnas.1210224110 SI Materials and Methods and “ssu-parc.fasta” downloaded on September 14, 2011 from mRNA Extraction. Total RNA was extracted from each sample www.arb-silva.de), and potential Symbiodinium contamination using a modified TRIzol (GibcoBRL/Invitrogen) protocol. Ap- was removed based significant nucleotide similarity (BLASTN, proximately 150–200 mg of coral tissue and skeleton was placed ≥100 bp and ≥70% identity) to ESTs from Symbiodinium sp. in 1 mL of TRIzol and homogenized for 2 min by vortexing with KB8 (clade A) and Symbiodinium sp. MF1.04b (clade B) (6) ∼100 μL of 0.5-mm Zirconia/Silica Beads (BioSpec Products). and the related dinoflagellate Polarella glacialis. Finally, the re- Resulting tissue/TRIzol slurry was removed by centrifugation, sulting contigs were compared (via BLASTX) to the NCBI non- and the standard TRIzol extraction was performed according to redundant protein database (nr; downloaded on June 7, 2011 manufacturer’s specifications with the replacement of 250 μLof from www.ncbi.nlm.nih.gov). The nonredundant (nr) results were 100% (vol/vol) isopropanol with 250 μL of high-salt buffer (0.8 used to remove any additional sequences likely to be noncoral, M Na citrate, 1.2 M NaCl) during the final precipitation step. based on similarity to alveolates, fungi, bacteria, or Archaea, as Resulting RNA pellet was resuspended in 12 μL of diethylpyro- determined using the metagenome analyzer (MEGAN) Version 4 = = = carbonate (DEPC)-treated H2O. mRNA was isolated from total (min. support 1, min. score 200, top percent 20) (7). RNA using the Micro-FastTrack mRNA isolation kit (In- The remaining, putatively coral, contigs were then “meta- vitrogen) and an overnight precipitation at −80 °C. -
B Number Gene Name Mrna Intensity Mrna
sample) total list predicted B number Gene name assignment mRNA present mRNA intensity Gene description Protein detected - Membrane protein membrane sample detected (total list) Proteins detected - Functional category # of tryptic peptides # of tryptic peptides # of tryptic peptides detected (membrane b0002 thrA 13624 P 39 P 18 P(m) 2 aspartokinase I, homoserine dehydrogenase I Metabolism of small molecules b0003 thrB 6781 P 9 P 3 0 homoserine kinase Metabolism of small molecules b0004 thrC 15039 P 18 P 10 0 threonine synthase Metabolism of small molecules b0008 talB 20561 P 20 P 13 0 transaldolase B Metabolism of small molecules chaperone Hsp70; DNA biosynthesis; autoregulated heat shock b0014 dnaK 13283 P 32 P 23 0 proteins Cell processes b0015 dnaJ 4492 P 13 P 4 P(m) 1 chaperone with DnaK; heat shock protein Cell processes b0029 lytB 1331 P 16 P 2 0 control of stringent response; involved in penicillin tolerance Global functions b0032 carA 9312 P 14 P 8 0 carbamoyl-phosphate synthetase, glutamine (small) subunit Metabolism of small molecules b0033 carB 7656 P 48 P 17 0 carbamoyl-phosphate synthase large subunit Metabolism of small molecules b0048 folA 1588 P 7 P 1 0 dihydrofolate reductase type I; trimethoprim resistance Metabolism of small molecules peptidyl-prolyl cis-trans isomerase (PPIase), involved in maturation of b0053 surA 3825 P 19 P 4 P(m) 1 GenProt outer membrane proteins (1st module) Cell processes b0054 imp 2737 P 42 P 5 P(m) 5 GenProt organic solvent tolerance Cell processes b0071 leuD 4770 P 10 P 9 0 isopropylmalate -
The Influence of Cell Cycle Regulation on Chemotherapy
International Journal of Molecular Sciences Review The Influence of Cell Cycle Regulation on Chemotherapy Ying Sun 1, Yang Liu 1, Xiaoli Ma 2 and Hao Hu 1,* 1 Institute of Biomedical Materials and Engineering, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China; [email protected] (Y.S.); [email protected] (Y.L.) 2 Qingdao Institute of Measurement Technology, Qingdao 266000, China; [email protected] * Correspondence: [email protected] Abstract: Cell cycle regulation is orchestrated by a complex network of interactions between proteins, enzymes, cytokines, and cell cycle signaling pathways, and is vital for cell proliferation, growth, and repair. The occurrence, development, and metastasis of tumors are closely related to the cell cycle. Cell cycle regulation can be synergistic with chemotherapy in two aspects: inhibition or promotion. The sensitivity of tumor cells to chemotherapeutic drugs can be improved with the cooperation of cell cycle regulation strategies. This review presented the mechanism of the commonly used chemotherapeutic drugs and the effect of the cell cycle on tumorigenesis and development, and the interaction between chemotherapy and cell cycle regulation in cancer treatment was briefly introduced. The current collaborative strategies of chemotherapy and cell cycle regulation are discussed in detail. Finally, we outline the challenges and perspectives about the improvement of combination strategies for cancer therapy. Keywords: chemotherapy; cell cycle regulation; drug delivery systems; combination chemotherapy; cancer therapy Citation: Sun, Y.; Liu, Y.; Ma, X.; Hu, H. The Influence of Cell Cycle Regulation on Chemotherapy. Int. J. 1. Introduction Mol. Sci. 2021, 22, 6923. https:// Chemotherapy is currently one of the main methods of tumor treatment [1]. -
The Role of Sumoylation of DNA Topoisomerase Iiα C-Terminal Domain in the Regulation of Mitotic Kinases In
SUMOylation at the centromere: The role of SUMOylation of DNA topoisomerase IIα C-terminal domain in the regulation of mitotic kinases in cell cycle progression. By Makoto Michael Yoshida Submitted to the graduate degree program in the Department of Molecular Biosciences and the Graduate Faculty of the University of Kansas in partial fulfillment of the requirements for the degree of Doctor of Philosophy. ________________________________________ Chairperson: Yoshiaki Azuma, Ph.D. ________________________________________ Roberto De Guzman, Ph.D. ________________________________________ Kristi Neufeld, Ph.D. _________________________________________ Berl Oakley, Ph.D. _________________________________________ Blake Peterson, Ph.D. Date Defended: July 12, 2016 The Dissertation Committee for Makoto Michael Yoshida certifies that this is the approved version of the following dissertation: SUMOylation at the centromere: The role of SUMOylation of DNA topoisomerase IIα C-terminal domain in the regulation of mitotic kinases in cell cycle progression. ________________________________________ Chairperson: Yoshiaki Azuma, Ph.D. Date approved: July 12, 2016 ii ABSTRACT In many model systems, SUMOylation is required for proper mitosis; in particular, chromosome segregation during anaphase. It was previously shown that interruption of SUMOylation through the addition of the dominant negative E2 SUMO conjugating enzyme Ubc9 in mitosis causes abnormal chromosome segregation in Xenopus laevis egg extract (XEE) cell-free assays, and DNA topoisomerase IIα (TOP2A) was identified as a substrate for SUMOylation at the mitotic centromeres. TOP2A is SUMOylated at K660 and multiple sites in the C-terminal domain (CTD). We sought to understand the role of TOP2A SUMOylation at the mitotic centromeres by identifying specific binding proteins for SUMOylated TOP2A CTD. Through affinity isolation, we have identified Haspin, a histone H3 threonine 3 (H3T3) kinase, as a SUMOylated TOP2A CTD binding protein. -
Ciprofloxacin Stress Proteome of the Extended-Spectrum Beta-Lactamase
Ciprofloxacin stress proteome of the extended-spectrum beta-lactamase producing Escherichia coli from slaughtered pigs Sónia Ramos, Ingrid Chafsey, Michel Hébraud, Margarida Sousa, Patrícia Poeta, Gilberto Igrejas To cite this version: Sónia Ramos, Ingrid Chafsey, Michel Hébraud, Margarida Sousa, Patrícia Poeta, et al.. Ciprofloxacin stress proteome of the extended-spectrum beta-lactamase producing Escherichia coli from slaughtered pigs. Current Proteomics, Bentham Science Publishers, 2016, 13, pp.285-289. 10.2174/1570164613666161018144215. hal-01602438 HAL Id: hal-01602438 https://hal.archives-ouvertes.fr/hal-01602438 Submitted on 27 May 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Send Orders for Reprints to [email protected] Current Proteomics, 2016, 13, 1-5 1 RESEARCH ARTICLE Ciprofloxacin Stress Proteome of the Extended-Spectrum -lactamase Producing Escherichia coli from Slaughtered Pigs Sónia Ramos1,2,3,4, Ingrid Chafsey5, Michel Hébraud5,6, Margarida Sousa1,2,3,4, Patrícia Poeta4,7 and Gilberto Igrejas1,2,7,* 1Functional Genomics -
Cytoplasmic Localized Ubiquitin Ligase Cullin 7 Binds to P53 and Promotes Cell Growth by Antagonizing P53 Function
Oncogene (2006) 25, 4534–4548 & 2006 Nature Publishing Group All rights reserved 0950-9232/06 $30.00 www.nature.com/onc ORIGINAL ARTICLE Cytoplasmic localized ubiquitin ligase cullin 7 binds to p53 and promotes cell growth by antagonizing p53 function P Andrews1,2,YJHe1 and Y Xiong1,2,3 1Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA; 2Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, NC, USA and 3Program in Molecular Biology and Biotechnology, University of North Carolina, Chapel Hill, NC, USA Cullins are a family of evolutionarily conserved proteins monomeric manner (monoubiquitination) to cause that bind to the small RING fingerprotein,ROC1, to conformational change to the substrate or in a constitute potentially a large number of distinct E3 polyubiquitin chain which signals the substrate to be ubiquitin ligases. CUL7 mediates an essential function degraded by the 26S proteasome. Both ubiquitin formouse embryodevelopment and has been linked with activating and conjugating enzymes are well character- cell transformation by its physical association with the ized and contain highly conserved functional domains. SV40 large T antigen. We report here that, like its closely The identity and mechanism of E3 ubiquitin ligases, on related homolog PARC, CUL7 is localized predominantly the other hand, has been elusive and long postulated as in the cytoplasm and binds directly to p53. In contrast to an activity responsible for both recognizing substrates PARC, however, CUL7, even when overexpressed, did not and for catalysing polyubiquitin chain formation sequesterp53 in the cytoplasm. We have identified a (Hershko and Ciechanover, 1998). sequence in the N-terminal region of CUL7 that is highly Currently, two major families of E3 ligases have been conserved in PARC and a sequence spanning the described. -
Visual Data Mining : Background, Techniques, and Drug Discovery
Visual Data Mining: Background, Techniques, and Drug Discovery Applications Mihael Ankerst The Boeing Company Georges Grinstein UMass Lowell and AnVil Inc. Daniel Keim AT&T Research and University of Konstanz A color version of the tutorial notes can be found via http://www.fmi.uni-konstanz.de/~keim KDD’2002 Conference Emails and URLs Data Exploration • Definition Mihael Ankerst – [email protected] Data Exploration is the process of searching and analyzing – http://www.visualclassification.com/ankerst databases to find implicit but potentially useful information Daniel A. Keim – [email protected] • more formally – [email protected] Data Exploration is the process of finding a – http://www.fmi.uni-konstanz.de/~keim • subset D‘ of the database D and George Grinstein – [email protected] • hypotheses Hu(D‘,C) – http://genome.uml.edu that a user U considers useful in an application context C – http://www.anvilinfo.com Mihael Ankerst, The Boeing Company -- Daniel A. Keim, AT&T and Univ. of Konstanz Mihael Ankerst, The Boeing Company -- Daniel A. Keim, AT&T and Univ. of Konstanz Georges Grinstein, UMass Lowell and AnVil Inc. 2 Georges Grinstein, UMass Lowell and AnVil Inc. 5 Overview Abilities of Humans and Computers Part I: Visualization Techniques 1. Introduction 2. Visual Data Exploration Techniques abilities of Data Storage 3. Distortion and Interaction Techniques the computer Numerical Computation 4. Visual Data Mining Systems Searching Part II: Specific Visual Data Mining Techniques 1. Association Rules Planning 2. Classification Diagnosis Logic 3. Clustering Prediction 4. Text Mining 5. Tightly Integrated Visualization Perception Part III: Drug Discovery Applications Creativity 1. -
Biological Data Integration Using Semantic Web Technologies
Biological data integration using Semantic Web technologies Pasquier C Phone: +33 492 07 6947 Fax: +33 492 07 6432 Email: [email protected] Institute of Signaling, Developmental Biology & Cancer CNRS - UMR 6543, University of Nice Sophia-Antipolis Parc Valrose, 06108 NICE cedex 2, France. Summary Current research in biology heavily depends on the availability and efficient use of information. In order to build new knowledge, various sources of biological data must often be combined. Semantic Web technologies, which provide a common framework allowing data to be shared and reused between applications, can be applied to the management of disseminated biological data. However, due to some specificities of biological data, the application of these technologies to life science constitutes a real challenge. Through a use case of biological data integration, we show in this paper that current Semantic Web technologies start to become mature and can be applied for the development of large applications. However, in order to get the best from these technologies, improvements are needed both at the level of tool performance and knowledge modeling. Keywords Data integration, Semantic Web, OWL, RDF, SPARQL, Knowledge Base System (KBS) Introduction Biology is now an information-intensive science and research in genomics, transcriptomics and proteomics heavily depend on the availability and the efficient use of information. When data were structured and organized as a collection of records in dedicated, self-sufficient databases, information was retrieved by performing queries on the database using a specialized query language; for example SQL (Structured Query Language) for relational databases or OQL (Object Query Language) for object databases. -
Uman Enome News
uman enome news ISSN: 1050-6101 Vol. 7, No.2, July-August 1995 Optical Mapping Offers Fast, Accurate Method for Generating Restriction Maps New Approach Eliminates Electrophoresis, Is Amenable to Automation evelopment of cheaper and faster technologies for large-scale Dgenome mapping has been a major priority in the first 5 years of the Human Genome Project. Although many efforts have focused on improving standard gel electrophoresis and hybridization methods, a new approach using optical detection of single DNA mole.cules shows great promise for rapid construction of ordered genome maps based on restriction endonuclease cutting sites. l -4 Restriction endonucleases-enzymes that cut DNA molecules at specific sites in the genome-have played a major role in allowing investigators to identify and characterize various loci on a DNA molecule. Unlike maps based on STSs (a sequence-based landmark), restriction maps provide the precise genomic distances that are essential for efficient sequencing and for determining the spatial relationships of specific loci. Compared with hybridization-based fingerprinting approaches, ordered restriction maps offer relatively unambiguous clone characterization, which is useful for determining overlapping areas in contig formation, establishing minimum tiling paths for sequencing (coverage of a region), and characterizing genetic lesions with respect to various structural alterations. Image of a human chromosome 11 YAC clone (425 kb) cleaved by restriction endonucleases, Despite the broad applications of restriction maps, however, associated stained with a fluorochrome, and visualized by techniques for their generation have changed little over the last 10 years fluorescence microscopy. (White bar at lower left because of their reliance on tedious electrophoresis methods. -
Towards a Sustainable Funding Model for the Uniprot Use Case[Version 2
F1000Research 2018, 6(ELIXIR):2051 Last updated: 25 OCT 2018 RESEARCH ARTICLE Funding knowledgebases: Towards a sustainable funding model for the UniProt use case [version 2; referees: 3 approved] Chiara Gabella , Christine Durinx , Ron Appel ELIXIR-Switzerland, SIB Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland First published: 27 Nov 2017, 6(ELIXIR):2051 (doi: Open Peer Review v2 10.12688/f1000research.12989.1) Latest published: 22 Mar 2018, 6(ELIXIR):2051 (doi: 10.12688/f1000research.12989.2) Referee Status: Abstract Invited Referees Millions of life scientists across the world rely on bioinformatics data resources 1 2 3 for their research projects. Data resources can be very expensive, especially those with a high added value as the expert-curated knowledgebases. Despite the increasing need for such highly accurate and reliable sources of scientific version 2 information, most of them do not have secured funding over the near future and published often depend on short-term grants that are much shorter than their planning 22 Mar 2018 horizon. Additionally, they are often evaluated as research projects rather than as research infrastructure components. version 1 In this work, twelve funding models for data resources are described and published report report report applied on the case study of the Universal Protein Resource (UniProt), a key 27 Nov 2017 resource for protein sequences and functional information knowledge. We show that most of the models present inconsistencies with open access or Helen Berman, Rutgers, The State equity policies, and that while some models do not allow to cover the total 1 costs, they could potentially be used as a complementary income source. -
A Protein Kinase Activity Tightly Associated with Drosophila Type II
Proc. Nati. Acad. Sci. USA Vol. 81, pp. 6938-6942, November 1984 Biochemistry A protein kinase activity tightly associated with Drosophila type II DNA topoisomerase (eukaryotic topoisomerase/protein phosphorylation/Drosophila melanogaster) MIRIAM SANDER, JAMES M. NOLAN, AND TAO-SHIH HSIEH Department of Biochemistry, Duke University Medical Center, Durham, NC 27710 Communicated by Robert L. Hill, July 19, 1984 ABSTRACT A protein kinase activity has been identified tial gene. The mechanism by which the eukaryotic topoiso- that is tightly associated with the purified Drosophila type II merase activities are regulated is not yet clear. Since varia- DNA topoisomerase. The kinase and topoisomerase activities tions in chromatin structure are associated with the are not separated when the enzyme is subjected to analytical processes of transcription, replication, and cell division, it is chromatography (phosphoceilulose, single-strand DNA aga- likely that topoisomerase-mediated alteration in chromatin rose, and Sephacryl S-300) and analytical glycerol gradient structure will be regulated in a complex manner. sedimentation. These two activities are also inactivated to the Recently, a type I topoisomerase isolated from Novikoff same extent by either heat or N-ethylmaleimide treatment. hepatoma cells has been shown to be a phosphoprotein (15). The evidence, however, does not rule out the possibility that In our studies on Drosophila type II topoisomerase we have the kinase activity resides in a polypeptide other than the to- established that the enzyme isolated from the Kco Drosophi- poisomerase polypeptide. The topoisomerase-associated pro- la cell culture line is present in a phosphorylated form (un- tein kinase activity is not stimulated by Ca21 or cyclic nucleo- published data).