Supplementary Information Mapping the Molecular and Structural
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Temporary Disruption of the Retinal Basal Lamina and Its Effect on Retinal Histogenesis
Developmental Biology 238, 79–96 (2001) doi:10.1006/dbio.2001.0396, available online at http://www.idealibrary.com on Temporary Disruption of the Retinal Basal Lamina and Its Effect on Retinal Histogenesis Willi Halfter,*,1 Sucai Dong,* Manimalha Balasubramani,* and Mark E. Bier† *Department of Neurobiology, University of Pittsburgh, 1402 E Biological Science Tower, Pittsburgh, Pennsylvania 15261; and †Department of Chemistry, Mellon Institute, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, Pennsylvania 15213-2683 An experimental paradigm was devised to remove the retinal basal lamina for defined periods of development: the basal lamina was dissolved by injecting collagenase into the vitreous of embryonic chick eyes, and its regeneration was induced by a chase with mouse laminin-1 and ␣2-macroglobulin. The laminin-1 was essential in reconstituting a new basal lamina and could not be replaced by laminin-2 or collagen IV, whereas the macroglobulin served as a collagenase inhibitor that did not directly contribute to basal lamina regeneration. The regeneration occurred within 6 h after the laminin-1 chase by forming a morphologically complete basal lamina that included all known basal lamina proteins from chick embryos, such as laminin-1, nidogen-1, collagens IV and XVIII, perlecan, and agrin. The temporary absence of the basal lamina had dramatic effects on retinal histogenesis, such as an irreversible retraction of the endfeet of the neuroepithelial cells from the vitreal surface of the retina, the formation of a disorganized ganglion cell layer with an increase in ganglion cells by 30%, and the appearance of multiple retinal ectopias. Finally, basal lamina regeneration was associated with aberrant axons failing to correctly enter the optic nerve. -
In Normal Conditions After Heat Stress
1 Transcriptome analysis of yamame (Oncorhynchus masou) in normal conditions after heat stress Waraporn Kraitavin1, Kazutoshi Yoshitake1, Yoji Igarashi1, Susumu Mitsuyama1, Shigeharu Kinoshita1, Daisuke Kambayashi2, Shugo Watabe3 and Shuichi Asakawa1* 1 Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo, Tokyo 113-8657, Japan; [email protected] (S.A.) 2 Kobayashi Branch, Miyazaki Prefectural Fisheries Research Institute, Kobayashi, Miyazaki 886-0005, Japan 3 School of Marine Biosciences, Kitasato University, Minami, Sagamihara, Kanagawa 252-0313, Japan; [email protected] * Correspondence: [email protected] (S.A.) 2 A B *HT represents high-temperature tolerant, NT represents non-high-temperature tolerant Figure S1. The pheatmap repeatability analysis of mRNA libraries between samples using the Pearson correlation, (A) gill and (B) fin 3 A B *HT represents high-temperature tolerant, NT represents non-high-temperature tolerant Figure S2. The PCA analysis of mRNA libraries between samples, (A) gill and (B) fin. 4 Table S1. List of the differentially expressed genes of the gill in yamame Gene_id Annotation HT_TPM NT_TPM log2(FoldChange) P - value TRINITY_DN100000_c0_g1_i2 VDAC2 27.57 17.15 0.71 0.00 TRINITY_DN100006_c4_g1_i1 0.65 2.69 -1.93 0.00 TRINITY_DN100021_c0_g1_i2 CXL14 0.13 4.06 -4.96 0.00 TRINITY_DN100027_c4_g2_i1 PEAK1 1.31 4.44 -1.77 0.00 TRINITY_DN100027_c4_g3_i1 0.17 2.38 -3.18 0.00 TRINITY_DN100035_c6_g6_i2 2.13 13.97 -2.68 0.00 TRINITY_DN100055_c1_g2_i1 3BHS 0.22 -
Figure S1. Representative Report Generated by the Ion Torrent System Server for Each of the KCC71 Panel Analysis and Pcafusion Analysis
Figure S1. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. A Figure S1. Continued. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. B Figure S2. Comparative analysis of the variant frequency found by the KCC71 panel and calculated from publicly available cBioPortal datasets. For each of the 71 genes in the KCC71 panel, the frequency of variants was calculated as the variant number found in the examined cases. Datasets marked with different colors and sample numbers of prostate cancer are presented in the upper right. *Significantly high in the present study. Figure S3. Seven subnetworks extracted from each of seven public prostate cancer gene networks in TCNG (Table SVI). Blue dots represent genes that include initial seed genes (parent nodes), and parent‑child and child‑grandchild genes in the network. Graphical representation of node‑to‑node associations and subnetwork structures that differed among and were unique to each of the seven subnetworks. TCNG, The Cancer Network Galaxy. Figure S4. REVIGO tree map showing the predicted biological processes of prostate cancer in the Japanese. Each rectangle represents a biological function in terms of a Gene Ontology (GO) term, with the size adjusted to represent the P‑value of the GO term in the underlying GO term database. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Loss of the Tectorial Membrane Protein CEACAM16 Enhances Spontaneous, Stimulus-Frequency, and Transiently Evoked Otoacoustic Emissions
The Journal of Neuroscience, July 30, 2014 • 34(31):10325–10338 • 10325 Cellular/Molecular Loss of the Tectorial Membrane Protein CEACAM16 Enhances Spontaneous, Stimulus-Frequency, and Transiently Evoked Otoacoustic Emissions Mary Ann Cheatham,1 Richard J. Goodyear,3 Kazuaki Homma,4 P. Kevin Legan,3 Julia Korchagina,3 Souvik Naskar,3 Jonathan H. Siegel,1 X Peter Dallos,1,2 Jing Zheng,4 and Guy P. Richardson3 1Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, The Knowles Hearing Center, and 2Department of Neurobiology, Northwestern University, Evanston, Illinois 60208, 3Sussex Neuroscience, School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9QG, United Kingdom, and 4Department of Otolaryngology-Head and Neck Surgery, The Knowles Hearing Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611 ␣-Tectorin (TECTA), -tectorin (TECTB), and carcinoembryonic antigen-related cell adhesion molecule 16 (CEACAM) are secreted glycoproteins that are present in the tectorial membrane (TM), an extracellular structure overlying the hearing organ of the inner ear, the organ of Corti. Previous studies have shown that TECTA and TECTB are both required for formation of the striated-sheet matrix within which collagen fibrils of the TM are imbedded and that CEACAM16 interacts with TECTA. To learn more about the structural and functional significance of CEACAM16, we created a Ceacam16-null mutant mouse. In the absence of CEACAM16, TECTB levels are reduced, a clearly defined striated-sheet matrix does not develop, and Hensen’s stripe, a prominent feature in the basal two-thirds of the TM in WT mice, is absent. CEACAM16 is also shown to interact with TECTB, indicating that it may stabilize interactions between TECTA and TECTB. -
Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed. -
Distinct Energy Metabolism of Auditory and Vestibular Sensory Epithelia
Distinct energy metabolism of auditory and vestibular PNAS PLUS sensory epithelia revealed by quantitative mass spectrometry using MS2 intensity Kateri J. Spinellia,b,1, John E. Klimekc,1, Phillip A. Wilmarthc, Jung-Bum Shina,b,2, Dongseok Choid, Larry L. Davidc,e, and Peter G. Gillespiea,b,3 aOregon Hearing Research Center, bVollum Institute, cProteomics Shared Resource, dDepartment of Public Health and Preventive Medicine, and eDepartment of Biochemistry and Molecular Biology, Oregon Health and Science University, Portland OR 97239 Edited by David P. Corey, Harvard Medical School, Boston, MA, and accepted by the Editorial Board December 14, 2011 (received for review September 26, 2011) Measuring the abundance of many proteins over a broad dynamic In our experiments, we desired an accurate quantitation method range requires accurate quantitation. We show empirically that, in for relative comparisons. Because varying peptide ionization, MS2 MS experiments, relative quantitation using summed dissociation- selection, and MS2 signal render the relationship between ion-cur- product ion-current intensities is accurate, albeit variable from rent intensity and peptide abundance uncertain, we sought to em- protein to protein, and outperforms spectral counting. By apply- pirically determine the suitability of MS2 intensity for protein ing intensities to quantify proteins in two complex but related quantitation under conditions of high protein complexity. Moreover, tissues, chick auditory and vestibular sensory epithelia, we find to verify our MS2 intensity quantitation methods, we sought a direct that glycolytic enzymes are enriched threefold in auditory epithe- comparison of the molecular composition of two related but distinct lia, whereas enzymes responsible for oxidative phosphorylation biological tissues. -
140503 IPF Signatures Supplement Withfigs Thorax
Supplementary material for Heterogeneous gene expression signatures correspond to distinct lung pathologies and biomarkers of disease severity in idiopathic pulmonary fibrosis Daryle J. DePianto1*, Sanjay Chandriani1⌘*, Alexander R. Abbas1, Guiquan Jia1, Elsa N. N’Diaye1, Patrick Caplazi1, Steven E. Kauder1, Sabyasachi Biswas1, Satyajit K. Karnik1#, Connie Ha1, Zora Modrusan1, Michael A. Matthay2, Jasleen Kukreja3, Harold R. Collard2, Jackson G. Egen1, Paul J. Wolters2§, and Joseph R. Arron1§ 1Genentech Research and Early Development, South San Francisco, CA 2Department of Medicine, University of California, San Francisco, CA 3Department of Surgery, University of California, San Francisco, CA ⌘Current address: Novartis Institutes for Biomedical Research, Emeryville, CA. #Current address: Gilead Sciences, Foster City, CA. *DJD and SC contributed equally to this manuscript §PJW and JRA co-directed this project Address correspondence to Paul J. Wolters, MD University of California, San Francisco Department of Medicine Box 0111 San Francisco, CA 94143-0111 [email protected] or Joseph R. Arron, MD, PhD Genentech, Inc. MS 231C 1 DNA Way South San Francisco, CA 94080 [email protected] 1 METHODS Human lung tissue samples Tissues were obtained at UCSF from clinical samples from IPF patients at the time of biopsy or lung transplantation. All patients were seen at UCSF and the diagnosis of IPF was established through multidisciplinary review of clinical, radiological, and pathological data according to criteria established by the consensus classification of the American Thoracic Society (ATS) and European Respiratory Society (ERS), Japanese Respiratory Society (JRS), and the Latin American Thoracic Association (ALAT) (ref. 5 in main text). Non-diseased normal lung tissues were procured from lungs not used by the Northern California Transplant Donor Network. -
Supporting Information for Proteomics DOI 10.1002/Pmic.200400942
Supporting Information for Proteomics DOI 10.1002/pmic.200400942 Wei-Jun Qian, Jon M. Jacobs, David G. Camp II, Matthew E. Monroe, Ronald J. Moore, Marina A. Gritsenko, Steve E. Calvano, Stephen F. Lowry, Wenzhong Xiao, Lyle L. Moldawer, Ronald W. Davis, Ronald G. Tompkins and Richard D. Smith Comparative proteome analyses of human plasma following in vivo lipopolysaccharide administration using multidimensional separations coupled with tandem mass spectrometry ã 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de Supplemental Table 1: List of 804 identified plasma proteins. Note: Reference IDs correspond to either SwissProt, NCBI, or PIR database entries. For each protein, one representive peptide sequence and the peptide charge_state, SEQUEST Xcorr, and Delcn are listed. The number of different peptides identifying each specific protein is also indicated. To facilitate comparison of protein abundances between the untreated and treated samples, the numbers of peptide hit, the protein abundance ratio (treated/untreated) calculated from peptide peak area ratios, and the standard deviation of peptide peak area ratios for each protein are also listed. No abundance ratio is shown if the protein has no common peptide identified in the two samples. Whether the same protein ID was reported in reference 16 and reference 27 (195 proteins observed from two different sources) is also indicated. Reference Description # of different Representitive peptide Charge_state Xcorr DelCn peptides Peptide Hits Peptide Protein Standard -
Proteomic Analysis of the Organ of Corti Using Nanoscale Liquid Chromatography Coupled with Tandem Mass Spectrometry
Int. J. Mol. Sci. 2012, 13, 8171-8188; doi:10.3390/ijms13078171 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Proteomic Analysis of the Organ of Corti Using Nanoscale Liquid Chromatography Coupled with Tandem Mass Spectrometry Hong Peng 1,2, Miao Liu 1, Jason Pecka 3, Kirk W. Beisel 3,* and Shi-Jian Ding 1,4,* 1 Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198, USA; E-Mails: [email protected] (H.P.); [email protected] (M.L.) 2 Department of Environmental, Agricultural & Occupational Health, University of Nebraska Medical Center, Omaha, NE 68198, USA 3 Department of Biomedical Sciences, Creighton University, Omaha, NE 68178, USA; E-Mail: [email protected] 4 Mass Spectrometry and Proteomics Core Facility, University of Nebraska Medical Center, Omaha, NE 68198, USA * Authors to whom correspondence should be addressed; E-Mails: [email protected] (K.W.B.); [email protected] (S.-J.D.); Tel.: +1-402-280-4069 (K.W.B.); +1-402-559-4183 (S.-J.D.); Fax: +1-402-280-2690 (K.W.B.); +1-402-559-4651 (S.-J.D.). Received: 27 May 2012; in revised form: 5 June 2012 / Accepted: 25 June 2012 / Published: 2 July 2012 Abstract: The organ of Corti (OC) in the cochlea plays an essential role in auditory signal transduction in the inner ear. For its minute size and trace amount of proteins, the identification of the molecules in pathophysiologic processes in the bone-encapsulated OC requires both delicate separation and a highly sensitive analytical tool. -
Supplemental Table 3 Site ID Intron Poly(A) Site Type NM/KG Inum
Supplemental Table 3 Site ID Intron Poly(A) site Type NM/KG Inum Region Gene ID Gene Symbol Gene Annotation Hs.120277.1.10 chr3:170997234:170996860 170996950 b NM_153353 7 CDS 151827 LRRC34 leucine rich repeat containing 34 Hs.134470.1.27 chr17:53059664:53084458 53065543 b NM_138962 10 CDS 124540 MSI2 musashi homolog 2 (Drosophila) Hs.162889.1.18 chr14:80367239:80329208 80366262 b NM_152446 12 CDS 145508 C14orf145 chromosome 14 open reading frame 145 Hs.187898.1.27 chr22:28403623:28415294 28404458 b NM_181832 16 3UTR 4771 NF2 neurofibromin 2 (bilateral acoustic neuroma) Hs.228320.1.6 chr10:115527009:115530350 115527470 b BC036365 5 CDS 79949 C10orf81 chromosome 10 open reading frame 81 Hs.266308.1.2 chr11:117279579:117278191 117278967 b NM_032046 12 CDS 84000 TMPRSS13 transmembrane protease, serine 13 Hs.266308.1.4 chr11:117284536:117281662 117283722 b NM_032046 9 CDS 84000 TMPRSS13 transmembrane protease, serine 13 Hs.2689.1.4 chr10:53492398:53563605 53492622 b NM_006258 7 CDS 5592 PRKG1 protein kinase, cGMP-dependent, type I Hs.280781.1.6 chr18:64715646:64829150 64715837 b NM_024781 4 CDS 79839 C18orf14 chromosome 18 open reading frame 14 Hs.305985.2.25 chr12:8983686:8984438 8983942 b BX640639 17 3UTR NA NA NA Hs.312098.1.36 chr1:151843991:151844258 151844232 b NM_003815 15 CDS 8751 ADAM15 a disintegrin and metalloproteinase domain 15 (metargidin) Hs.314338.1.11 chr21:39490293:39481214 39487623 b NM_018963 41 CDS 54014 BRWD1 bromodomain and WD repeat domain containing 1 Hs.33368.1.3 chr15:92685158:92689361 92688314 b NM_018349 6 CDS 55784 MCTP2 multiple C2-domains with two transmembrane regions 2 Hs.346736.1.21 chr2:99270738:99281614 99272414 b AK126402 10 3UTR 51263 MRPL30 mitochondrial ribosomal protein L30 Hs.445061.1.19 chr16:69322898:69290216 69322712 b NM_018052 14 CDS 55697 VAC14 Vac14 homolog (S. -
Supplementary Material Computational Prediction of SARS
Supplementary_Material Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets Sheet_1 List of potential stem-loop structures in SARS-CoV-2 genome as predicted by VMir. Rank Name Start Apex Size Score Window Count (Absolute) Direct Orientation 1 MD13 2801 2864 125 243.8 61 2 MD62 11234 11286 101 211.4 49 4 MD136 27666 27721 104 205.6 119 5 MD108 21131 21184 110 204.7 210 9 MD132 26743 26801 119 188.9 252 19 MD56 9797 9858 128 179.1 59 26 MD139 28196 28233 72 170.4 133 28 MD16 2934 2974 76 169.9 71 43 MD103 20002 20042 80 159.3 403 46 MD6 1489 1531 86 156.7 171 51 MD17 2981 3047 131 152.8 38 87 MD4 651 692 75 140.3 46 95 MD7 1810 1872 121 137.4 58 116 MD140 28217 28252 72 133.8 62 122 MD55 9712 9758 96 132.5 49 135 MD70 13171 13219 93 130.2 131 164 MD95 18782 18820 79 124.7 184 173 MD121 24086 24135 99 123.1 45 176 MD96 19046 19086 75 123.1 179 196 MD19 3197 3236 76 120.4 49 200 MD86 17048 17083 73 119.8 428 223 MD75 14534 14600 137 117 51 228 MD50 8824 8870 94 115.8 79 234 MD129 25598 25642 89 115.6 354 Reverse Orientation 6 MR61 19088 19132 88 197.8 271 10 MR72 23563 23636 148 188.8 286 11 MR11 3775 3844 136 185.1 116 12 MR94 29532 29582 94 184.6 271 15 MR43 14973 15028 109 183.9 226 27 MR14 4160 4206 89 170 241 34 MR35 11734 11792 111 164.2 37 52 MR5 1603 1652 89 152.7 118 53 MR57 18089 18132 101 152.7 139 94 MR8 2804 2864 122 137.4 38 107 MR58 18474 18508 72 134.9 237 117 MR16 4506 4540 72 133.8 311 120 MR34 10010 10048 82 132.7 245 133 MR7 2534 2578 90 130.4 75 146 MR79 24766 24808 75 127.9 59 150 MR65 21528 21576 99 127.4 83 180 MR60 19016 19049 70 122.5 72 187 MR51 16450 16482 75 121 363 190 MR80 25687 25734 96 120.6 75 198 MR64 21507 21544 70 120.3 35 206 MR41 14500 14542 84 119.2 94 218 MR84 26840 26894 108 117.6 94 Sheet_2 List of stable stem-loop structures based on MFE.