Paired Involvement of Human-Specific Olduvai Domains and NOTCH2NL
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Analysis of Mutational Landscape of Patients with Chronic Lymphocytic Leukemia
Analysis of mutational landscape of patients with chronic lymphocytic leukemia A.V. Terskikh1, A.A. Samsonova2, A.A. Kanapin2 1-Peter the Great St.Petersburg Polytechnic University, St. Petersburg, Russia, anastasiya- [email protected]; 2-Department of Oncology, University of Oxford, Oxford, UK, [email protected], [email protected] A precise understanding of the genomic features of chronic lymphocytic leukemia (CLL) may benefit the study of the disease’s staging and treatment. Genomic landscape of CLL probably reflects either an unknown underlying biochemical mechanism playing a key role in CLL or multiple biochemical pathways independently driving the development of this tumor. The elucidation of either scenario may have important consequences on the clinical management of CLL. Our aim is to analyze mutational landscape of the disease to identify potential pathways driving the pathology. Chronic lymphocytic leukemia is a clonal neoplasia of B-lymphocytes which accumulate mainly in the blood, bone marrow, lymph nodes and spleen [1]. Notably, these B- lymphocytes are differentiated, and can remain in an arrested state for several years after diagnosis. Two major molecular subtypes can be distinguished, characterized respectively by a high or low number of somatic hypermutations in the variable region of immunoglobulin genes [2]. This classification system was improved with the characterization of additional genomic and transcriptomic factors [3]. However, the genomic events that dictate the initiation and heterogeneous evolution of CLL remained partially unknown. Next-Generation Sequencing (NGS) allows the comparison of the genome of tumor cells with the constitutive genome in normal tissues of the same patients. The variants present in the tumor genome and absent from the germinal genome are called somatic mutations, and constitute a requisite of cancer development. -
Novel Genetic Features of Human and Mouse Purkinje Cell Differentiation Defined by Comparative Transcriptomics
Novel genetic features of human and mouse Purkinje cell differentiation defined by comparative transcriptomics David E. Buchholza, Thomas S. Carrollb, Arif Kocabasa, Xiaodong Zhua, Hourinaz Behestia, Phyllis L. Faustc, Lauren Stalbowa, Yin Fanga, and Mary E. Hattena,1 aLaboratory of Developmental Neurobiology, The Rockefeller University, New York, NY 10065; bBioinformatics Resource Center, The Rockefeller University, New York, NY 10065; and cDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center and the New York Presbyterian Hospital, New York, NY 10032 Contributed by Mary E. Hatten, April 22, 2020 (sent for review January 3, 2020; reviewed by Lorenz Studer and Hynek Wichterle) Comparative transcriptomics between differentiating human plu- is ataxia-telangiectasia, which shows massive loss of PCs in hu- ripotent stem cells (hPSCs) and developing mouse neurons offers a mans but not in the mouse (11). Human pluripotent stem cells powerful approach to compare genetic and epigenetic pathways (hPSCs) provide a complementary approach to studying human in human and mouse neurons. To analyze human Purkinje cell disease in the mouse (12–14). Validated methods to derive (PC) differentiation, we optimized a protocol to generate human specific neural subtypes from hPSCs are necessary prerequisites pluripotent stem cell-derived Purkinje cells (hPSC-PCs) that formed to disease modeling. We and others have recently developed synapses when cultured with mouse cerebellar glia and granule protocols to derive PCs from hPSCs (15–18). cells and fired large calcium currents, measured with the geneti- One limitation of most hPSC-derived central nervous system cally encoded calcium indicator jRGECO1a. To directly compare (CNS) neurons is the lack of genetic information, especially of global gene expression of hPSC-PCs with developing mouse PCs, transcriptomic signatures, to rigorously identify specific types of we used translating ribosomal affinity purification (TRAP). -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
BIOTECHNO 2020 Proceedings
BIOTECHNO 2020 The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies ISBN: 978-1-61208-792-4 September 27th – October 1st, 2020 BIOTECHNO 2020 Editors Birgit Gersbeck-Schierholz, Leibniz Universität Hannover, Germany 1 / 34 BIOTECHNO 2020 Forward The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies (BIOTECHNO 2020) continued a series of events covering these three main areas: bioinformatics, biomedical technologies, and biocomputing. Bioinformatics deals with the system-level study of complex interactions in biosystems providing a quantitative systemic approach to understand them and appropriate tool support and concepts to model them. Understanding and modeling biosystems requires simulation of biological behaviors and functions. Bioinformatics itself constitutes a vast area of research and specialization, as many classical domains such as databases, modeling, and regular expressions are used to represent, store, retrieve and process a huge volume of knowledge. Biotechnology is defined as the industrial use of living organisms or biological techniques developed through basic research. Bio-oriented technologies became very popular in various research topics and industrial market segments. Current human mechanisms seem to offer significant ways for improving theories, algorithms, technologies, products and systems. The focus is driven by fundamentals in approaching and applying biotechnologies in terms of engineering methods, special electronics, and special materials and systems. Borrowing simplicity and performance from the real life, biodevices cover a large spectrum of areas, from sensors, chips, and biometry to computing. One of the chief domains is represented by the biomedical biotechnologies, from instrumentation to monitoring, from simple sensors to integrated systems, including image processing and visualization systems. As the state-of-the- art evolves at fast speed, new biotechnologies and biosystems become available. -
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, -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol . -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
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 -
Hominin-Specific NOTCH2 Paralogs Expand Human Cortical Neurogenesis
bioRxiv preprint doi: https://doi.org/10.1101/221358; this version posted November 17, 2017. 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. Hominin-specific NOTCH2 paralogs expand human cortical neurogenesis through regulation of Delta/Notch interactions. Ikuo K. Suzuki1,2, David Gacquer1, Roxane Van Heurck1,2, Devesh Kumar1,2, Marta Wojno1,2, Angéline Bilheu1,2, Adèle Herpoel1,2, Julian Chéron1,2, Franck Polleux6, Vincent Detours1, and Pierre Vanderhaeghen1,2,3,4,5*. 1 Université Libre de Bruxelles (ULB), Institute for Interdisciplinary Research (IRIBHM), B-1070 Brussels, Belgium 2 ULB Institute of Neuroscience (UNI), B-1070 Brussels, Belgium 3 WELBIO, Université Libre de Bruxelles, B-1070 Brussels, Belgium 4 VIB, Center for Brain and Disease Research, B-3000 Leuven, Belgium 5 University of Leuven (KU Leuven), Department of Neurosciences, B-3000 Leuven, Belgium 6 Department of Neuroscience, Columbia University Medical Center, Columbia University, New York, NY 10027, USA *Correspondence and Lead Contact: [email protected] Keywords Human brain development, human brain evolution, neurogenesis, Notch pathway, cerebral cortex bioRxiv preprint doi: https://doi.org/10.1101/221358; this version posted November 17, 2017. 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. Summary The human cerebral cortex has undergone rapid expansion and increased complexity during recent evolution. Hominid-specific gene duplications represent a major driving force of evolution, but their impact on human brain evolution remains unclear. -
Molecular Distinctions Between Pediatric and Adult Mature B-Cell Non-Hodgkin Lymphomas Identified Through Genomic Profiling
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Public Health Resources Public Health Resources 4-19-2012 Molecular distinctions between pediatric and adult mature B-cell non-Hodgkin lymphomas identified through genomic profiling Karen Deffenbacher University of Nebraska Medical Center, Omaha Javeed Iqbal University of Nebraska Medical Center, Omaha Warren Sanger University of Nebraska Medical Center, Omaha Yulei Shen University of Nebraska Medical Center, Omaha Cynthia Lachel University of Nebraska Medical Center, Omaha See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/publichealthresources Part of the Public Health Commons Deffenbacher, Karen; Iqbal, Javeed; Sanger, Warren; Shen, Yulei; Lachel, Cynthia; Liu, Zhongfeng; Liu, Yanyan; Lim, Megan; Perkins, Sherrie; Fu, Kai; Smith, Lynette; Lynch, James; Staudt, Louis; Rimsza, Lisa M.; Jaffe, Elaine; Rosenwald, Andreas; Ott, German; Delabie, Jan; Campo, Elias; Gascoyne, Randy; Cairo, Mitchell; Weisenburger, Dennis; Greiner, Timothy; Gross, Thomas; and Chan, Wing, "Molecular distinctions between pediatric and adult mature B-cell non-Hodgkin lymphomas identified through genomic profiling" (2012). Public Health Resources. 145. https://digitalcommons.unl.edu/publichealthresources/145 This Article is brought to you for free and open access by the Public Health Resources at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Public Health Resources by an authorized administrator -
Deciphering Neurodegenerative Diseases Using Long-Read Sequencing
Published Ahead of Print on August 13, 2021 as 10.1212/WNL.0000000000012466 Neurology Publish Ahead of Print DOI: 10.1212/WNL.0000000000012466 Deciphering Neurodegenerative Diseases Using Long-Read Sequencing Author(s): Yun Su, MD*1, 2, 3; Liyuan Fan, MD*1, 2, 3; Changhe Shi, MD, PhD*1, 2, 3, 4; Tai Wang, MD1, 2; Huimin Zheng, MD1, 2, 3; Haiyang Luo, MD, PhD1, 2, 3; Shuo Zhang, MD, PhD1, 2, 3; Zhengwei Hu, MD, PhD1, 2, 3; Yu Fan, MD, PhD1, 2, 3; Yali Dong, MD1, 2, 3; Jing Yang, MD, PhD1, 3, 5; Chengyuan Mao, MD, PhD#1, 2, 3, 4; Yuming Xu, MD, PhD#1, 3, 5 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. Neurology® Published Ahead of Print articles have been peer reviewed and accepted for publication. This manuscript will be published in its final form after copyediting, page composition, and review of proofs. Errors that could affect the content may be corrected during these processes. Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. Equal Author Contributions: * These authors contributed equally to this work. # Dr. Yuming Xu and Dr. Chengyuan Mao are the corresponding authors. Corresponding Author: Yuming Xu [email protected] Affiliation Information for All Authors: 1. -
Strand Breaks for P53 Exon 6 and 8 Among Different Time Course of Folate Depletion Or Repletion in the Rectosigmoid Mucosa
SUPPLEMENTAL FIGURE COLON p53 EXONIC STRAND BREAKS DURING FOLATE DEPLETION-REPLETION INTERVENTION Supplemental Figure Legend Strand breaks for p53 exon 6 and 8 among different time course of folate depletion or repletion in the rectosigmoid mucosa. The input of DNA was controlled by GAPDH. The data is shown as ΔCt after normalized to GAPDH. The higher ΔCt the more strand breaks. The P value is shown in the figure. SUPPLEMENT S1 Genes that were significantly UPREGULATED after folate intervention (by unadjusted paired t-test), list is sorted by P value Gene Symbol Nucleotide P VALUE Description OLFM4 NM_006418 0.0000 Homo sapiens differentially expressed in hematopoietic lineages (GW112) mRNA. FMR1NB NM_152578 0.0000 Homo sapiens hypothetical protein FLJ25736 (FLJ25736) mRNA. IFI6 NM_002038 0.0001 Homo sapiens interferon alpha-inducible protein (clone IFI-6-16) (G1P3) transcript variant 1 mRNA. Homo sapiens UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 15 GALNTL5 NM_145292 0.0001 (GALNT15) mRNA. STIM2 NM_020860 0.0001 Homo sapiens stromal interaction molecule 2 (STIM2) mRNA. ZNF645 NM_152577 0.0002 Homo sapiens hypothetical protein FLJ25735 (FLJ25735) mRNA. ATP12A NM_001676 0.0002 Homo sapiens ATPase H+/K+ transporting nongastric alpha polypeptide (ATP12A) mRNA. U1SNRNPBP NM_007020 0.0003 Homo sapiens U1-snRNP binding protein homolog (U1SNRNPBP) transcript variant 1 mRNA. RNF125 NM_017831 0.0004 Homo sapiens ring finger protein 125 (RNF125) mRNA. FMNL1 NM_005892 0.0004 Homo sapiens formin-like (FMNL) mRNA. ISG15 NM_005101 0.0005 Homo sapiens interferon alpha-inducible protein (clone IFI-15K) (G1P2) mRNA. SLC6A14 NM_007231 0.0005 Homo sapiens solute carrier family 6 (neurotransmitter transporter) member 14 (SLC6A14) mRNA.