The Flightless I Protein
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October 2020
PCORI Health Care Horizon Scanning System: Horizon Scanning COVID-19 Supplement Status Report Volume 1, Issue 2 Prepared for: Patient-Centered Outcomes Research Institute 1828 L St., NW, Suite 900 Washington, DC 20036 Contract No. MSA-HORIZSCAN-ECRI-ENG-2018.7.12 Prepared by: ECRI 5200 Butler Pike Plymouth Meeting, PA 19462 Investigators: Randy Hulshizer, MA, MS Marcus Lynch, PhD, MBA Jennifer De Lurio, MS Brian Wilkinson, MA Damian Carlson, MS Christian Cuevas, PhD Andrea Druga, MSPAS, PA-C Misha Mehta, MS Prital Patel, MPH Donna Beales, MLIS Eloise DeHaan, BS Eileen Erinoff, MSLIS Cassia Hulshizer, AS Madison Kimball, MS Maria Middleton, MPH Diane Robertson, BA Kelley Tipton, MPH Rosemary Walker, MLIS Karen Schoelles, MD, SM October 2020 Statement of Funding and Purpose This report incorporates data collected during implementation of the Patient-Centered Outcomes Research Institute (PCORI) Health Care Horizon Scanning System COVID-19 Supplement, operated by ECRI under contract to PCORI, Washington, DC (Contract No. MSA- HORIZSCAN-ECRI-ENG-2018.7.12). The findings and conclusions in this document are those of the authors, who are responsible for its content. No statement in this report should be construed as an official position of PCORI. An innovation that potentially meets inclusion criteria might not appear in this report simply because the horizon scanning system has not yet detected it or it does not yet meet inclusion criteria outlined in the PCORI Health Care Horizon Scanning System: Horizon Scanning Protocol and Operations Manual COVID-19 Supplement. Inclusion or absence of innovations in the horizon scanning reports will change over time as new information is collected; therefore, inclusion or absence should not be construed as either an endorsement or rejection of specific interventions. -
Genes in a Refined Smith-Magenis Syndrome Critical Deletion Interval on Chromosome 17P11.2 and the Syntenic Region of the Mouse
Downloaded from genome.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Article Genes in a Refined Smith-Magenis Syndrome Critical Deletion Interval on Chromosome 17p11.2 and the Syntenic Region of the Mouse Weimin Bi,1,6 Jiong Yan,1,6 Paweł Stankiewicz,1 Sung-Sup Park,1,7 Katherina Walz,1 Cornelius F. Boerkoel,1 Lorraine Potocki,1,3 Lisa G. Shaffer,1 Koen Devriendt,4 Małgorzata J.M. Nowaczyk,5 Ken Inoue,1 and James R. Lupski1,2,3,8 Departments of 1Molecular & Human Genetics, 2Pediatrics, Baylor College of Medicine, 3Texas Children’s Hospital, Houston, Texas 77030, USA; 4Centre for Human Genetics, University Hospital Gasthuisberg, Catholic University of Leuven, B-3000 Leuven, Belgium; 5Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario L8S 4J9, Canada Smith-Magenis syndrome (SMS) is a multiple congenital anomaly/mental retardation syndrome associated with behavioral abnormalities and sleep disturbance. Most patients have the same ∼4 Mb interstitial genomic deletion within chromosome 17p11.2. To investigate the molecular bases of the SMS phenotype, we constructed BAC/PAC contigs covering the SMS common deletion interval and its syntenic region on mouse chromosome 11. Comparative genome analysis reveals the absence of all three ∼200-kb SMS-REP low-copy repeats in the mouse and indicates that the evolution of SMS-REPs was accompanied by transposition of adjacent genes. Physical and genetic map comparisons in humans reveal reduced recombination in both sexes. Moreover, by examining the deleted regions in SMS patients with unusual-sized deletions, we refined the minimal Smith-Magenis critical region (SMCR) to an ∼1.1-Mb genomic interval that is syntenic to an ∼1.0-Mb region in the mouse. -
Androgen Receptor Interacting Proteins and Coregulators Table
ANDROGEN RECEPTOR INTERACTING PROTEINS AND COREGULATORS TABLE Compiled by: Lenore K. Beitel, Ph.D. Lady Davis Institute for Medical Research 3755 Cote Ste Catherine Rd, Montreal, Quebec H3T 1E2 Canada Telephone: 514-340-8260 Fax: 514-340-7502 E-Mail: [email protected] Internet: http://androgendb.mcgill.ca Date of this version: 2010-08-03 (includes articles published as of 2009-12-31) Table Legend: Gene: Official symbol with hyperlink to NCBI Entrez Gene entry Protein: Protein name Preferred Name: NCBI Entrez Gene preferred name and alternate names Function: General protein function, categorized as in Heemers HV and Tindall DJ. Endocrine Reviews 28: 778-808, 2007. Coregulator: CoA, coactivator; coR, corepressor; -, not reported/no effect Interactn: Type of interaction. Direct, interacts directly with androgen receptor (AR); indirect, indirect interaction; -, not reported Domain: Interacts with specified AR domain. FL-AR, full-length AR; NTD, N-terminal domain; DBD, DNA-binding domain; h, hinge; LBD, ligand-binding domain; C-term, C-terminal; -, not reported References: Selected references with hyperlink to PubMed abstract. Note: Due to space limitations, all references for each AR-interacting protein/coregulator could not be cited. The reader is advised to consult PubMed for additional references. Also known as: Alternate gene names Gene Protein Preferred Name Function Coregulator Interactn Domain References Also known as AATF AATF/Che-1 apoptosis cell cycle coA direct FL-AR Leister P et al. Signal Transduction 3:17-25, 2003 DED; CHE1; antagonizing regulator Burgdorf S et al. J Biol Chem 279:17524-17534, 2004 CHE-1; AATF transcription factor ACTB actin, beta actin, cytoplasmic 1; cytoskeletal coA - - Ting HJ et al. -
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. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Pentosan Polysulfate Binds to STRO
Wu et al. Stem Cell Research & Therapy (2017) 8:278 DOI 10.1186/s13287-017-0723-y RESEARCH Open Access Pentosan polysulfate binds to STRO-1+ mesenchymal progenitor cells, is internalized, and modifies gene expression: a novel approach of pre-programing stem cells for therapeutic application requiring their chondrogenesis Jiehua Wu1,7, Susan Shimmon1,8, Sharon Paton2, Christopher Daly3,4,5, Tony Goldschlager3,4,5, Stan Gronthos6, Andrew C. W. Zannettino2 and Peter Ghosh1,5* Abstract Background: The pharmaceutical agent pentosan polysulfate (PPS) is known to induce proliferation and chondrogenesis of mesenchymal progenitor cells (MPCs) in vitro and in vivo. However, the mechanism(s) of action of PPS in mediating these effects remains unresolved. In the present report we address this issue by investigating the binding and uptake of PPS by MPCs and monitoring gene expression and proteoglycan biosynthesis before and after the cells had been exposed to limited concentrations of PPS and then re-established in culture in the absence of the drug (MPC priming). Methods: Immuno-selected STRO-1+ mesenchymal progenitor stem cells (MPCs) were prepared from human bone marrow aspirates and established in culture. The kinetics of uptake, shedding, and internalization of PPS by MPCs was determined by monitoring the concentration-dependent loss of PPS media concentrations using an enzyme-linked immunosorbent assay (ELISA) and the uptake of fluorescein isothiocyanate (FITC)-labelled PPS by MPCs. The proliferation of MPCs, following pre-incubation and removal of PPS (priming), was assessed using the Wst-8 assay 35 method, and proteoglycan synthesis was determined by the incorporation of SO4 into their sulphated glycosaminoglycans. -
The KMT1A-GATA3-STAT3 Circuit Is a Novel Self-Renewal Signaling of Human Bladder Cancer Stem Cells Zhao Yang1, Luyun He2,3, Kais
The KMT1A-GATA3-STAT3 circuit is a novel self-renewal signaling of human bladder cancer stem cells Zhao Yang1, Luyun He2,3, Kaisu Lin4, Yun Zhang1, Aihua Deng1, Yong Liang1, Chong Li2, 5, & Tingyi Wen1, 6, 1CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China 2Core Facility for Protein Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China 3CAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China 4Department of Oncology, the Second Affiliated Hospital of Soochow University, Suzhou 215000, China 5Beijing Jianlan Institute of Medicine, Beijing 100190, China 6Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China Correspondence author: Tingyi Wen, e-mail: [email protected] Chong Li, e-mail: [email protected] Supplementary Figure S1. Isolation of human bladder cancer stem cells. BCMab1 and CD44 were used to isolate bladder cancer stem cells (BCSCs: BCMab1+CD44+) and bladder cancer non-stem cells (BCNSCs: BCMab1-CD44-) from EJ, samples #1 and #2 by flow cytometry. Supplementary Figure S2. Gene ontology analysis of downregulated genes of human BCSCs. (A) Pathway enrichment of 103 downregulated genes in BCSCs. (B) The seven downregulated genes in BCSCs participating in centromeric heterochromatin, mRNA-3’-UTR binding and translation regulator activity signaling pathways were validated by qRT-PCR. Data are presented as mean ± SD. P < 0.05; P < 0.01. Supplementary Figure S3. The expression of KMT1A is higher in human BC than that in peri-tumor tissues. (A) The expression of KMT1A was higher in BC samples than that in peri-tumors as assessed by immunohistochemistry, Scale bar = 50 m. -
Genomic Organization of the Approximately 1.5 Mb Smith
European Journal of Human Genetics (2001) 9, 892 ± 902 ã 2001 Nature Publishing Group All rights reserved 1018-4813/01 $15.00 www.nature.com/ejhg ARTICLE Genomic organisation of the ~1.5 Mb Smith-Magenis syndrome critical interval: Transcription map, genomic contig, and candidate gene analysis Rebecca E Lucas1, Christopher N Vlangos1, Parimal Das4, Pragna I Patel4 and Sarah H Elsea*,1,2,3 1Genetics Graduate Program, Michigan State University, East Lansing, Michigan, MI 48824, USA; 2Department of Zoology, Michigan State University, East Lansing, Michigan, MI 48824, USA; 3Department of Pediatrics and Human Development, Michigan State University, East Lansing, Michigan, MI 48824, USA; 4Department of Neurology, Baylor College of Medicine, Houston, Texas, TX 77030, USA Smith-Magenis syndrome (SMS) is a multiple congenital anomalies/mental retardation syndrome associated with an interstitial deletion of chromosome 17 involving band p11.2. SMS is hypothesised to be a contiguous gene syndrome in which the phenotype arises from the haploinsufficiency of multiple, functionally-unrelated genes in close physical proximity, although the true molecular basis of SMS is not yet known. In this study, we have generated the first overlapping and contiguous transcription map of the SMS critical interval, linking the proximal 17p11.2 region near the SMS-REPM and the distal region near D17S740 in a minimum tiling path of 16 BACs and two PACs. Additional clones provide greater coverage throughout the critical region. Not including the repetitive sequences that flank the critical interval, the map is comprised of 13 known genes, 14 ESTs, and six genomic markers, and is a synthesis of Southern hybridisation and polymerase chain reaction data from gene and marker localisation to BACs and PACs and database sequence analysis from the human genome project high-throughput draft sequence. -
Loss of Supervillin Causes Myopathy with Myofibrillar Disorganization and Autophagic Vacuoles
University of Massachusetts Medical School eScholarship@UMMS Open Access Articles Open Access Publications by UMMS Authors 2020-08-01 Loss of supervillin causes myopathy with myofibrillar disorganization and autophagic vacuoles Carola Hedberg-Oldfors University of Gothenburg Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/oapubs Part of the Amino Acids, Peptides, and Proteins Commons, Cardiovascular Diseases Commons, Cell Biology Commons, Cellular and Molecular Physiology Commons, Molecular and Cellular Neuroscience Commons, Musculoskeletal Diseases Commons, Musculoskeletal, Neural, and Ocular Physiology Commons, Nervous System Diseases Commons, and the Neurology Commons Repository Citation Hedberg-Oldfors C, Luna EJ, Oldfors A, Knopp C. (2020). Loss of supervillin causes myopathy with myofibrillar disorganization and autophagic vacuoles. Open Access Articles. https://doi.org/10.1093/ brain/awaa206. Retrieved from https://escholarship.umassmed.edu/oapubs/4320 Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Open Access Articles by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. doi:10.1093/brain/awaa206 BRAIN 2020: 143; 2406–2420 | 2406 Loss of supervillin causes myopathy with Downloaded from https://academic.oup.com/brain/article/143/8/2406/5890852 by Medical Center Library user on 17 September 2020 myofibrillar disorganization and autophagic vacuoles Carola Hedberg-Oldfors,1,* Robert Meyer,2,* Kay Nolte,3,* Yassir Abdul Rahim,1 Christopher Lindberg,4 Kristjan Karason,5 Inger Johanne Thuestad,6 Kittichate Visuttijai,1 Mats Geijer,7,8 Matthias Begemann,2 Florian Kraft,2 Eva Lausberg,2 Lea Hitpass,9 Rebekka Go¨tzl,10 Elizabeth J. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
Downloaded the Amino Acid Sequence and Used PSI-BLAST (Altschul Et Al
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.01.425057; this version posted January 3, 2021. 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. Homology between the flagellar export apparatus and ATP synthetase: evidence from synteny predating the Last Universal Common Ancestor Nicholas J. Matzke1, Angela Lin2, Micaella Stone1, Matthew A. B. Baker2,3* 1School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand 2School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia 3CSIRO Synthetic Biology Future Science Platform, Brisbane, Australia. *correspondence: [email protected] Abstract Evidence of homology between proteins in the ATP synthetase and the bacterial flagellar motor (BFM) has been accumulating since the 1980s. Specifically, the BFM’s Type 3 Secretion System (T3SS) export apparatus FliH, FliI, and FliJ are considered homologous to FO-b + F1-δ, F1-α/β, and F1-γ, and have similar structure and interactions. We review the discoveries that advanced the homology hypothesis and then conduct a further test by examining gene order in the two systems and their relatives. Conservation of gene order, or synteny, is often observed between closely related prokaryote species, but usually degrades with phylogenetic distance. As a result, observed conservation of synteny over vast phylogenetic distances can be evidence of shared ancestral coexpression, interaction, and function. We constructed a gene order dataset by examining the order of fliH, fliI, and fliJ genes across the phylogenetic breadth of flagellar and nonflagellar T3SS.