Mouse Celf5 Conditional Knockout Project (CRISPR/Cas9)
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CRISPR-Cas9–Based Treatment of Myocilin-Associated Glaucoma
CRISPR-Cas9–based treatment of myocilin- associated glaucoma Ankur Jaina, Gulab Zodeb,1, Ramesh B. Kasettib, Fei A. Ranc, Winston Yanc, Tasneem P. Sharmad, Kevin Buggea, Charles C. Searbya, John H. Fingertd, Feng Zhangc, Abbot F. Clarkb, and Val C. Sheffielda,d,1 aDepartment of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242; bNorth Texas Eye Research Institute, University of North Texas Health Science Center, Fort Worth, TX 76107; cMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02142; and dStephen A. Wynn Institute for Vision Research, Department of Ophthalmology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242 Edited by Donald J. Zack, Johns Hopkins University, Baltimore, MD, and accepted by Editorial Board Member Jeremy Nathans August 25, 2017 (received for review April 22, 2017) Primary open-angle glaucoma (POAG) is a leading cause of protein itself (transcription or translational inhibition). While irreversible vision loss worldwide, with elevated intraocular pres- siRNA and shRNA provide potentially viable treatment op- sure (IOP) a major risk factor. Myocilin (MYOC) dominant gain-of- tions (31), we elected to directly target the MYOC gene using function mutations have been reported in ∼4% of POAG cases. gene editing with clustered regularly interspaced short palindromic MYOC mutations result in protein misfolding, leading to endoplas- repeats (CRISPR)-Cas9 technology to treat myocilin-associated mic reticulum (ER) stress in the trabecular meshwork (TM), the tis- glaucoma. sue that regulates IOP. We use CRISPR-Cas9–mediated genome Originally part of the prokaryotic adaptive immune system, the editing in cultured human TM cells and in a MYOC mouse model CRISPR-Cas9 system has been adapted as a genome-editing tool, of POAG to knock down expression of mutant MYOC, resulting in in which the Cas9 endonuclease is directed by a guide RNA relief of ER stress. -
Supp Material.Pdf
Supplementary Information Estrogen-mediated Epigenetic Repression of Large Chromosomal Regions through DNA Looping Pei-Yin Hsu, Hang-Kai Hsu, Gregory A. C. Singer, Pearlly S. Yan, Benjamin A. T. Rodriguez, Joseph C. Liu, Yu-I Weng, Daniel E. Deatherage, Zhong Chen, Julia S. Pereira, Ricardo Lopez, Jose Russo, Qianben Wang, Coral A. Lamartiniere, Kenneth P. Nephew, and Tim H.-M. Huang S1 Method Immunofluorescence staining Approximately 2,000 mammosphere-derived epithelial cells (MDECs) cells seeded collagen I-coated coverslips were fixed with methanol/acetone for 10 min. After blocking with 2.5% bovine serum albumin (Sigma) for 1 hr, these cells were incubated with anti-ESR1 antibody (Santa Cruz) overnight at 4˚C. The corresponding secondary FITC-conjugated antibody was applied followed by DAPI staining (Molecular Probes) for the nuclei. Photographs were captured by Zeiss fluorescence microscopy (Zeiss). The percentages of ESR1 subcellular localization were calculated in ten different optical fields (~10 cells per field) by two independent researchers. References Carroll, J.S., Meyer, C.A., Song, J., Li, W., Geistlinger, T.R., Eeckhoute, J., Brodsky, A.S., Keeton, E.K., Fertuck, K.C., Hall, G.F., et al. 2006. Genome-wide analysis of estrogen receptor binding sites. Nat. Genet. 38: 1289-1297. Neve, R.M., Chin, K., Fridlyand, J., Yeh, J., Baehner, F.L., Fevr, T., Clark, L., Bayani, N., Coppe, J.P., Tong, F., et al. 2006. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. Cancer Cell 10: 515-527. S2 Hsu et al. Supplementary Information A Figure S1. Integrative mapping of large genomic regions subjected to ERα-mediated epigenetic repression. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
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. -
CRISPR-Cas9–Based Treatment of Myocilin-Associated Glaucoma
CRISPR-Cas9–based treatment of myocilin- associated glaucoma Ankur Jaina, Gulab Zodeb,1, Ramesh B. Kasettib, Fei A. Ranc, Winston Yanc, Tasneem P. Sharmad, Kevin Buggea, Charles C. Searbya, John H. Fingertd, Feng Zhangc, Abbot F. Clarkb, and Val C. Sheffielda,d,1 aDepartment of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242; bNorth Texas Eye Research Institute, University of North Texas Health Science Center, Fort Worth, TX 76107; cMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02142; and dStephen A. Wynn Institute for Vision Research, Department of Ophthalmology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242 Edited by Donald J. Zack, Johns Hopkins University, Baltimore, MD, and accepted by Editorial Board Member Jeremy Nathans August 25, 2017 (received for review April 22, 2017) Primary open-angle glaucoma (POAG) is a leading cause of protein itself (transcription or translational inhibition). While irreversible vision loss worldwide, with elevated intraocular pres- siRNA and shRNA provide potentially viable treatment op- sure (IOP) a major risk factor. Myocilin (MYOC) dominant gain-of- tions (31), we elected to directly target the MYOC gene using function mutations have been reported in ∼4% of POAG cases. gene editing with clustered regularly interspaced short palindromic MYOC mutations result in protein misfolding, leading to endoplas- repeats (CRISPR)-Cas9 technology to treat myocilin-associated mic reticulum (ER) stress in the trabecular meshwork (TM), the tis- glaucoma. sue that regulates IOP. We use CRISPR-Cas9–mediated genome Originally part of the prokaryotic adaptive immune system, the editing in cultured human TM cells and in a MYOC mouse model CRISPR-Cas9 system has been adapted as a genome-editing tool, of POAG to knock down expression of mutant MYOC, resulting in in which the Cas9 endonuclease is directed by a guide RNA relief of ER stress. -
Metabolomics and Network Pharmacology-Based Investigation
Hindawi Evidence-Based Complementary and Alternative Medicine Volume 2021, Article ID 8857449, 17 pages https://doi.org/10.1155/2021/8857449 Research Article Metabolomics and Network Pharmacology-Based Investigation into the Mechanisms Underlying the Therapeutic Effect of a New Chinese Traditional Medicine (Cui Nai Ling) on Bromocriptine-Induced Hypogalactia Xianglong Meng,1 Chenzi Lyu,1 Junnan Ma,2 Xiaoyan Zhang,1 Cong Hu,3 Xiaojuan Su,1 Chenxu Ning,1 Wenbin Xie,1 and Shuosheng Zhang 1 1Experimental Teaching Center, College of Chinese Materia Medica and Food Engineering, Shanxi University of Chinese Medicine, Jinzhong 030619, China 2Department of Formulaology, Institute of Integrative Medicine, Dalian Medical University, Dalian 116044, China 3School of Pharmacy, Jiangxi Science and Technology Normal University, Nanchang 330013, China Correspondence should be addressed to Shuosheng Zhang; [email protected] Received 5 September 2020; Revised 22 April 2021; Accepted 28 May 2021; Published 16 June 2021 Academic Editor: Oluyomi Stephen Adeyemi Copyright © 2021 Xianglong Meng et al. (is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. As a traditional veterinary medicine to promote lactation, Cui Nai Ling (CNL) can not only increase milk supply and promote health but also improve the overall physiological function and immunity of the animals. In order to further improve CNL’s effect on lactation, we have previously made a new CNL (NCNL) by adding Tetrapanacis Medulla and replacing Vaccariae Semen with fried Vaccariae Semen in CNL. We have demonstrated that the lactation-promoting effect of NCNL is better than that of CNL. -
Bence Jones Protein White
THE p-RIMARY STRUCTURE OF A HlJMAN LAHBDA TYPE IMMUNOGLOBULIN LIGHT CHAIN CONTAINING CARBOHYDRATE: BENCE JONES PROTEIN WHITE by HENRY MURRIEL PATTON, JR. Submitted to the F~culty of the School of Graduate Studies of the Medical College of Georgia in Partial Fulfillment of the Requirements for the Degree of Master of Science , June 1980 THE PRIMARY STRUCTURE OF A HUMAN LAMBDA TYPE IMMUNOGLOBULIN LIGHT CHAIN CONTAINING CARBOHYDRATE: BENCE JONES PROTEIN WHITE This thesis submitted by Hen~y Murriel Patton, Jr. has been examined and approved by an appoint,ed committee of the faculty of the School of Graduate Studies of. the Medical College of Georgia. The signatures 'tvhich appear below v~rify the fact that all required changes have been incorporated and that the thesis has received final approval with reference to content, form and accuracy of pres~ntation. This thesis is therefore accepted in partial fulfillment of the requirements .for the degree of Master of Science. Date ACKNOWLEDGEMENT I would like to express my appreciation for the assistance and guidance received from Dr. Gary K. Best, Dr. Cheruhanta N. Nair, Dr. George So Schuster and Dr. Linda L. Smith, and especially th~ patience and understanding of Dr. Frederick A. Garver. A special thanks goes to my wife, Vicky, for her patience and encouragement. TABLE OF CONTENTS INTRODUCTION PAGE I. Statement of Problem 1 IIQ Review of the Related Literature 4 MATERIALS AND METHODS I. Isolation of Bence Jones proteln WHITE from urine 13 II. Determination of purity 13 IIIe Serological typing of protein WHITE 13 IV. Determination of molecular weight 14 V. -
New Insights on Human Essential Genes Based on Integrated Multi
bioRxiv preprint doi: https://doi.org/10.1101/260224; this version posted February 5, 2018. 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. New insights on human essential genes based on integrated multi- omics analysis Hebing Chen1,2, Zhuo Zhang1,2, Shuai Jiang 1,2, Ruijiang Li1, Wanying Li1, Hao Li1,* and Xiaochen Bo1,* 1Beijing Institute of Radiation Medicine, Beijing 100850, China. 2 Co-first author *Correspondence: [email protected]; [email protected] Abstract Essential genes are those whose functions govern critical processes that sustain life in the organism. Comprehensive understanding of human essential genes could enable breakthroughs in biology and medicine. Recently, there has been a rapid proliferation of technologies for identifying and investigating the functions of human essential genes. Here, according to gene essentiality, we present a global analysis for comprehensively and systematically elucidating the genetic and regulatory characteristics of human essential genes. We explain why these genes are essential from the genomic, epigenomic, and proteomic perspectives, and we discuss their evolutionary and embryonic developmental properties. Importantly, we find that essential human genes can be used as markers to guide cancer treatment. We have developed an interactive web server, the Human Essential Genes Interactive Analysis Platform (HEGIAP) (http://sysomics.com/HEGIAP/), which integrates abundant analytical tools to give a global, multidimensional interpretation of gene essentiality. bioRxiv preprint doi: https://doi.org/10.1101/260224; this version posted February 5, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands That Promote Axonal Growth
Research Article: New Research Development Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands that Promote Axonal Growth Jeremy S. Toma,1 Konstantina Karamboulas,1,ª Matthew J. Carr,1,2,ª Adelaida Kolaj,1,3 Scott A. Yuzwa,1 Neemat Mahmud,1,3 Mekayla A. Storer,1 David R. Kaplan,1,2,4 and Freda D. Miller1,2,3,4 https://doi.org/10.1523/ENEURO.0066-20.2020 1Program in Neurosciences and Mental Health, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada, 2Institute of Medical Sciences University of Toronto, Toronto, Ontario M5G 1A8, Canada, 3Department of Physiology, University of Toronto, Toronto, Ontario M5G 1A8, Canada, and 4Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1A8, Canada Abstract Peripheral nerves provide a supportive growth environment for developing and regenerating axons and are es- sential for maintenance and repair of many non-neural tissues. This capacity has largely been ascribed to paracrine factors secreted by nerve-resident Schwann cells. Here, we used single-cell transcriptional profiling to identify ligands made by different injured rodent nerve cell types and have combined this with cell-surface mass spectrometry to computationally model potential paracrine interactions with peripheral neurons. These analyses show that peripheral nerves make many ligands predicted to act on peripheral and CNS neurons, in- cluding known and previously uncharacterized ligands. While Schwann cells are an important ligand source within injured nerves, more than half of the predicted ligands are made by nerve-resident mesenchymal cells, including the endoneurial cells most closely associated with peripheral axons. At least three of these mesen- chymal ligands, ANGPT1, CCL11, and VEGFC, promote growth when locally applied on sympathetic axons. -
Supplementary Table S2. List of Genes with Expression That Is Positively Correlated (Pearson Correlation Coefficient P>0.3)
Supplementary Table S2. List of genes with expression that is positively correlated (Pearson correlation coefficient p>0.3) with HOXA9 expression in the study by Sun et al (1). Most HOXA genes (indicated by bold face) show highly significant positive correlation with HOXA9 expression, except for HOXA6 and HOXA13, similar to our findings in the UCSF and MDA tumor sets. Note that HOXA11, which did not demonstrate a statistically significant positive correlation with HOXA9 expression in both the UCSF and MDA tumor sets, demonstrates a substantially lower correlation coefficient relative to the other HOXA genes that positively correlate with HOXA9 expression in the study by Sun et al. These data were obtained from the online ONCOMINE database (www.oncomine.org) (2) searching for transcripts positively correlated with HOXA9 expression. Gene Name Gene Symbol Reporter ID Correlation (p) homeobox A9 HOXA9 214651_s_at .7682 homeobox A9 HOXA9 209905_at .7682 homeobox A10 HOXA10 213150_at .6058 homeobox A7 HOXA7 235753_at .6058 homeobox A10 HOXA10 213147_at .6058 homeobox A7 HOXA7 206847_s_at .6058 homeobox A4 HOXA4 206289_at .5741 homeobox A2 HOXA2 1557051_s_at .5379 homeobox A1 HOXA1 214639_s_at .5379 homeobox A3 HOXA3 235521_at .5379 homeobox B2 HOXB2 205453_at .5379 homeobox B3 HOXB3 228904_at .5379 EST EST 1555907_at .5379 homeobox A4 HOXA4 230080_at .5379 homeobox A2 HOXA2 228642_at .5379 homeobox A2 HOXA2 1557050_at .5379 homeobox A5 HOXA5 213844_at .5379 homeobox A2 HOXA2 214457_at .5113 homeobox B7 HOXB7 204778_x_at .5042 homeobox C6 HOXC6 -
Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein