Longitudinal Analyses of CLL in Mice Identify Leukemia-Related Clonal Changes Including a Myc Gain Predicting Poor Outcome in Patients
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In Silico Prediction of High-Resolution Hi-C Interaction Matrices
ARTICLE https://doi.org/10.1038/s41467-019-13423-8 OPEN In silico prediction of high-resolution Hi-C interaction matrices Shilu Zhang1, Deborah Chasman 1, Sara Knaack1 & Sushmita Roy1,2* The three-dimensional (3D) organization of the genome plays an important role in gene regulation bringing distal sequence elements in 3D proximity to genes hundreds of kilobases away. Hi-C is a powerful genome-wide technique to study 3D genome organization. Owing to 1234567890():,; experimental costs, high resolution Hi-C datasets are limited to a few cell lines. Computa- tional prediction of Hi-C counts can offer a scalable and inexpensive approach to examine 3D genome organization across multiple cellular contexts. Here we present HiC-Reg, an approach to predict contact counts from one-dimensional regulatory signals. HiC-Reg pre- dictions identify topologically associating domains and significant interactions that are enri- ched for CCCTC-binding factor (CTCF) bidirectional motifs and interactions identified from complementary sources. CTCF and chromatin marks, especially repressive and elongation marks, are most important for HiC-Reg’s predictive performance. Taken together, HiC-Reg provides a powerful framework to generate high-resolution profiles of contact counts that can be used to study individual locus level interactions and higher-order organizational units of the genome. 1 Wisconsin Institute for Discovery, 330 North Orchard Street, Madison, WI 53715, USA. 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53715, USA. *email: [email protected] NATURE COMMUNICATIONS | (2019) 10:5449 | https://doi.org/10.1038/s41467-019-13423-8 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-13423-8 he three-dimensional (3D) organization of the genome has Results Temerged as an important component of the gene regulation HiC-Reg for predicting contact count using Random Forests. -
Investigating the Genetic Basis of Cisplatin-Induced Ototoxicity in Adult South African Patients
--------------------------------------------------------------------------- Investigating the genetic basis of cisplatin-induced ototoxicity in adult South African patients --------------------------------------------------------------------------- by Timothy Francis Spracklen SPRTIM002 SUBMITTED TO THE UNIVERSITY OF CAPE TOWN In fulfilment of the requirements for the degree MSc(Med) Faculty of Health Sciences UNIVERSITY OF CAPE TOWN University18 December of Cape 2015 Town Supervisor: Prof. Rajkumar S Ramesar Co-supervisor: Ms A Alvera Vorster Division of Human Genetics, Department of Pathology, University of Cape Town 1 The copyright of this thesis vests in the author. No quotation from it or information derived from it is to be published without full acknowledgement of the source. The thesis is to be used for private study or non- commercial research purposes only. Published by the University of Cape Town (UCT) in terms of the non-exclusive license granted to UCT by the author. University of Cape Town Declaration I, Timothy Spracklen, hereby declare that the work on which this dissertation/thesis is based is my original work (except where acknowledgements indicate otherwise) and that neither the whole work nor any part of it has been, is being, or is to be submitted for another degree in this or any other university. I empower the university to reproduce for the purpose of research either the whole or any portion of the contents in any manner whatsoever. Signature: Date: 18 December 2015 ' 2 Contents Abbreviations ………………………………………………………………………………….. 1 List of figures …………………………………………………………………………………... 6 List of tables ………………………………………………………………………………….... 7 Abstract ………………………………………………………………………………………… 10 1. Introduction …………………………………………………………………………………. 11 1.1 Cancer …………………………………………………………………………….. 11 1.2 Adverse drug reactions ………………………………………………………….. 12 1.3 Cisplatin …………………………………………………………………………… 12 1.3.1 Cisplatin’s mechanism of action ……………………………………………… 13 1.3.2 Adverse reactions to cisplatin therapy ………………………………………. -
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. -
Preclinical Evaluation of Protein Disulfide Isomerase Inhibitors for the Treatment of Glioblastoma by Andrea Shergalis
Preclinical Evaluation of Protein Disulfide Isomerase Inhibitors for the Treatment of Glioblastoma By Andrea Shergalis A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Medicinal Chemistry) in the University of Michigan 2020 Doctoral Committee: Professor Nouri Neamati, Chair Professor George A. Garcia Professor Peter J. H. Scott Professor Shaomeng Wang Andrea G. Shergalis [email protected] ORCID 0000-0002-1155-1583 © Andrea Shergalis 2020 All Rights Reserved ACKNOWLEDGEMENTS So many people have been involved in bringing this project to life and making this dissertation possible. First, I want to thank my advisor, Prof. Nouri Neamati, for his guidance, encouragement, and patience. Prof. Neamati instilled an enthusiasm in me for science and drug discovery, while allowing me the space to independently explore complex biochemical problems, and I am grateful for his kind and patient mentorship. I also thank my committee members, Profs. George Garcia, Peter Scott, and Shaomeng Wang, for their patience, guidance, and support throughout my graduate career. I am thankful to them for taking time to meet with me and have thoughtful conversations about medicinal chemistry and science in general. From the Neamati lab, I would like to thank so many. First and foremost, I have to thank Shuzo Tamara for being an incredible, kind, and patient teacher and mentor. Shuzo is one of the hardest workers I know. In addition to a strong work ethic, he taught me pretty much everything I know and laid the foundation for the article published as Chapter 3 of this dissertation. The work published in this dissertation really began with the initial identification of PDI as a target by Shili Xu, and I am grateful for his advice and guidance (from afar!). -
Atrazine and Cell Death Symbol Synonym(S)
Supplementary Table S1: Atrazine and Cell Death Symbol Synonym(s) Entrez Gene Name Location Family AR AIS, Andr, androgen receptor androgen receptor Nucleus ligand- dependent nuclear receptor atrazine 1,3,5-triazine-2,4-diamine Other chemical toxicant beta-estradiol (8R,9S,13S,14S,17S)-13-methyl- Other chemical - 6,7,8,9,11,12,14,15,16,17- endogenous decahydrocyclopenta[a]phenanthrene- mammalian 3,17-diol CGB (includes beta HCG5, CGB3, CGB5, CGB7, chorionic gonadotropin, beta Extracellular other others) CGB8, chorionic gonadotropin polypeptide Space CLEC11A AW457320, C-type lectin domain C-type lectin domain family 11, Extracellular growth factor family 11, member A, STEM CELL member A Space GROWTH FACTOR CYP11A1 CHOLESTEROL SIDE-CHAIN cytochrome P450, family 11, Cytoplasm enzyme CLEAVAGE ENZYME subfamily A, polypeptide 1 CYP19A1 Ar, ArKO, ARO, ARO1, Aromatase cytochrome P450, family 19, Cytoplasm enzyme subfamily A, polypeptide 1 ESR1 AA420328, Alpha estrogen receptor,(α) estrogen receptor 1 Nucleus ligand- dependent nuclear receptor estrogen C18 steroids, oestrogen Other chemical drug estrogen receptor ER, ESR, ESR1/2, esr1/esr2 Nucleus group estrone (8R,9S,13S,14S)-3-hydroxy-13-methyl- Other chemical - 7,8,9,11,12,14,15,16-octahydro-6H- endogenous cyclopenta[a]phenanthren-17-one mammalian G6PD BOS 25472, G28A, G6PD1, G6PDX, glucose-6-phosphate Cytoplasm enzyme Glucose-6-P Dehydrogenase dehydrogenase GATA4 ASD2, GATA binding protein 4, GATA binding protein 4 Nucleus transcription TACHD, TOF, VSD1 regulator GHRHR growth hormone releasing -
Anti-VPS4A Antibody (ARG43067)
Product datasheet [email protected] ARG43067 Package: 50 μg anti-VPS4A antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes VPS4A Tested Reactivity Hu, Ms, Rat Tested Application FACS, IHC-P, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name VPS4A Antigen Species Human Immunogen Recombinant protein corresponding to M1-K71 of Human VPS4A. Conjugation Un-conjugated Alternate Names SKD2; SKD1; hVPS4; Protein SKD2; SKD1A; Vacuolar protein sorting-associated protein 4A; VPS4-1; EC 3.6.4.6; VPS4 Application Instructions Application table Application Dilution FACS 1:150 - 1:500 IHC-P 1:200 - 1:1000 WB 1:500 - 1:2000 Application Note IHC-P: Antigen Retrieval: Heat mediation was performed in EDTA buffer (pH 8.0). * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 49 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer 0.2% Na2HPO4, 0.9% NaCl, 0.05% Sodium azide and 4% Trehalose. Preservative 0.05% Sodium azide Stabilizer 4% Trehalose Concentration 0.5 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed www.arigobio.com 1/3 before use. Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol VPS4A Gene Full Name vacuolar protein sorting 4 homolog A (S. -
ZFYVE19 (E-14): Sc-165940
SAN TA C RUZ BI OTEC HNOL OG Y, INC . ZFYVE19 (E-14): sc-165940 BACKGROUND APPLICATIONS Zinc-finger proteins contain DNA-binding domains and have a wide variety of ZFYVE19 (E-14) is recommended for detection of ZFYVE19 of mouse, rat and functions, most of which encompass some form of transcriptional activation human origin by Western Blotting (starting dilution 1:200, dilution range or repression. ZFYVE19 (zinc finger, FYVE domain containing 19), also known 1:100-1:1000), immunofluorescence (starting dilution 1:50, dilution range as MPFYVE (MLL partner containing FYVE domain), is a 471 amino acid pro - 1:50-1:500) and solid phase ELISA (starting dilution 1:30, dilution range 1:30- tein that contains one FYVE-type zinc finger. Expressed in heart, brain, kid ney, 1:3000); non cross-reactive with other ZFYVE family members. skeletal muscle and liver, ZFYVE19 may participate in transcriptional regula - Suitable for use as control antibody for ZFYVE19 siRNA (h): sc-90097, tion events within the cell. Defects in the gene encoding ZFYVE19 are asso - ZFYVE19 siRNA (m): sc-155604, ZFYVE19 shRNA Plasmid (h): sc-90097-SH, ciated with acute myeloblastic leukemia (AML), a rapidly progressing cancer ZFYVE19 shRNA Plasmid (m): sc-155604-SH, ZFYVE19 shRNA (h) Lentiviral of the myeloid line of white blood cells that is characterized by fever, ane mia, Particles: sc-90097-V and ZFYVE19 shRNA (m) Lentiviral Particles: bone pain, shortness of breath and frequent infections. Three isoforms of sc-155604-V. ZFYVE19 exist due to alternative splicing events. Molecular Weight of ZFYVE19: 48 kDa. REFERENCES Positive Controls: PLC/PRF/5 whole cell lysate. -
Early Growth Response 1 Regulates Hematopoietic Support and Proliferation in Human Primary Bone Marrow Stromal Cells
Hematopoiesis SUPPLEMENTARY APPENDIX Early growth response 1 regulates hematopoietic support and proliferation in human primary bone marrow stromal cells Hongzhe Li, 1,2 Hooi-Ching Lim, 1,2 Dimitra Zacharaki, 1,2 Xiaojie Xian, 2,3 Keane J.G. Kenswil, 4 Sandro Bräunig, 1,2 Marc H.G.P. Raaijmakers, 4 Niels-Bjarne Woods, 2,3 Jenny Hansson, 1,2 and Stefan Scheding 1,2,5 1Division of Molecular Hematology, Department of Laboratory Medicine, Lund University, Lund, Sweden; 2Lund Stem Cell Center, Depart - ment of Laboratory Medicine, Lund University, Lund, Sweden; 3Division of Molecular Medicine and Gene Therapy, Department of Labora - tory Medicine, Lund University, Lund, Sweden; 4Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands and 5Department of Hematology, Skåne University Hospital Lund, Skåne, Sweden ©2020 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2019.216648 Received: January 14, 2019. Accepted: July 19, 2019. Pre-published: August 1, 2019. Correspondence: STEFAN SCHEDING - [email protected] Li et al.: Supplemental data 1. Supplemental Materials and Methods BM-MNC isolation Bone marrow mononuclear cells (BM-MNC) from BM aspiration samples were isolated by density gradient centrifugation (LSM 1077 Lymphocyte, PAA, Pasching, Austria) either with or without prior incubation with RosetteSep Human Mesenchymal Stem Cell Enrichment Cocktail (STEMCELL Technologies, Vancouver, Canada) for lineage depletion (CD3, CD14, CD19, CD38, CD66b, glycophorin A). BM-MNCs from fetal long bones and adult hip bones were isolated as reported previously 1 by gently crushing bones (femora, tibiae, fibulae, humeri, radii and ulna) in PBS+0.5% FCS subsequent passing of the cell suspension through a 40-µm filter. -
Analysis of Dynamic Molecular Networks for Pancreatic Ductal
Pan et al. Cancer Cell Int (2018) 18:214 https://doi.org/10.1186/s12935-018-0718-5 Cancer Cell International PRIMARY RESEARCH Open Access Analysis of dynamic molecular networks for pancreatic ductal adenocarcinoma progression Zongfu Pan1†, Lu Li2†, Qilu Fang1, Yiwen Zhang1, Xiaoping Hu1, Yangyang Qian3 and Ping Huang1* Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest solid tumors. The rapid progression of PDAC results in an advanced stage of patients when diagnosed. However, the dynamic molecular mechanism underlying PDAC progression remains far from clear. Methods: The microarray GSE62165 containing PDAC staging samples was obtained from Gene Expression Omnibus and the diferentially expressed genes (DEGs) between normal tissue and PDAC of diferent stages were profled using R software, respectively. The software program Short Time-series Expression Miner was applied to cluster, compare, and visualize gene expression diferences between PDAC stages. Then, function annotation and pathway enrichment of DEGs were conducted by Database for Annotation Visualization and Integrated Discovery. Further, the Cytoscape plugin DyNetViewer was applied to construct the dynamic protein–protein interaction networks and to analyze dif- ferent topological variation of nodes and clusters over time. The phosphosite markers of stage-specifc protein kinases were predicted by PhosphoSitePlus database. Moreover, survival analysis of candidate genes and pathways was per- formed by Kaplan–Meier plotter. Finally, candidate genes were validated by immunohistochemistry in PDAC tissues. Results: Compared with normal tissues, the total DEGs number for each PDAC stage were 994 (stage I), 967 (stage IIa), 965 (stage IIb), 1027 (stage III), 925 (stage IV), respectively. The stage-course gene expression analysis showed that 30 distinct expressional models were clustered. -
Thesis Was Carried out Under the Supervision of Dr
Investigating the genome of Anaplastic Lymphoma Kinase-positive Anaplastic Large Cell Lymphoma Hugo Larose Department of Pathology University of Cambridge Gonville & Caius College This Dissertation is submitted for the degree of Doctor of Philosophy October 2019 2/172 Preface This dissertation is the result of my own work and contains nothing which is the outcome of work done in collaboration except as declared in the Declaration of Assistance Received (page 5) and specified in the text. This dissertation is not substantially the same as any that I have submitted, or is being concurrently submitted for a degree or diploma or other qualification at the University of Cambridge or any other University or similar institution except as declared in the Preface and specified in the text. I further state that no substantial part of my dissertation has already been submitted, or, is being concurrently submitted for any such degree, diploma or other qualification at the University of Cambridge or any other University of similar institution except as declared in the Preface and specified in the text. I have published the majority of Chapter 1 as a peer-reviewed review article (Larose, H., et al., 2019, From bench to bedside: the past, present and future of therapy for systemic paediatric ALCL, ALK+. British Journal of Haematology, 185, 1043–1054). This dissertation does not exceed the prescribed word limit set by the Degree Committee for the Faculty of Biology. The research in this thesis was carried out under the supervision of Dr. Suzanne D. Turner at the Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, between October 2015 and October 2019. -
Universidade Federal De Uberlândia Instituto De Biotecnologia Pós-Graduação Em Biotecnologia
UNIVERSIDADE FEDERAL DE UBERLÂNDIA INSTITUTO DE BIOTECNOLOGIA PÓS-GRADUAÇÃO EM BIOTECNOLOGIA MONIZE ANGELA DE ANDRADE IDENTIFICAÇÃO DE CNVR ASSOCIADAS À QUALIDADE DE CARCAÇA E CARNE EM BOVINOS DA RAÇA NELORE PATOS DE MINAS - MG ABRIL DE 2019 MONIZE ANGELA DE ANDRADE IDENTIFICAÇÃO DE CNVR ASSOCIADAS À QUALIDADE DE CARCAÇA E CARNE EM BOVINOS DA RAÇA NELORE Dissertação de Mestrado apresentada ao Programa de Pós-graduação em Biotecnologia como requisito parcial para obtenção do título de Mestre em Biotecnologia. Profa. Dra. Fernanda Marcondes de Rezende PATOS DE MINAS – MG ABRIL DE 2019 MONIZE ANGELA DE ANDRADE IDENTIFICAÇÃO DE CNVR ASSOCIADAS À QUALIDADE DE CARCAÇA E CARNE EM BOVINOS DA RAÇA NELORE Dissertação de Mestrado apresentada ao Programa de Pós-graduação em Biotecnologia como requisito parcial para obtenção do título de Mestre em Biotecnologia. Aprovado em 26/04/2019 BANCA EXAMINADORA ______________________________________________________ Profa Dra Fernanda Marcondes de Rezende ______________________________________________________ Profa Dra Tatiane Cristina Seleguim Chud _______________________________________________________ Profa Dra Terezinha Aparecida Teixeira PATOS DE MINAS – MG ABRIL DE 2019 Dados Internacionais de Catalogação na Publicação (CIP) Sistema de Bibliotecas da UFU, MG, Brasil. A553i Andrade, Monize Angela de, 1993- 2019 Identificação de CNVR associadas à qualidade de carcaça e carne em bovinos da raça nelore [recurso eletrônico] / Monize Angela de Andrade. - 2019. Orientadora: Fernanda Marcondes de Rezende. Dissertação (mestrado) - Universidade Federal de Uberlândia, Programa de Pós-Graduação em Biotecnologia. Modo de acesso: Internet. Disponível em: http://dx.doi.org/10.14393/ufu.di.2019.28 Inclui bibliografia. Inclui ilustrações. 1. Biotecnologia. 2. Gado - Carcaças - Qualidade. 3. Nelore (Zebu). 4. Carne bovina - Qualidade. 5. -
PDIA2 Rabbit Pab
Leader in Biomolecular Solutions for Life Science PDIA2 Rabbit pAb Catalog No.: A12789 Basic Information Background Catalog No. This gene encodes a member of the disulfide isomerase (PDI) family of endoplasmic A12789 reticulum (ER) proteins that catalyze protein folding and thiol-disulfide interchange reactions. The encoded protein has an N-terminal ER-signal sequence, two catalytically Observed MW active thioredoxin (TRX) domains, two TRX-like domains and a C-terminal ER-retention 58kDa sequence. The protein plays a role in the folding of nascent proteins in the endoplasmic reticulum by forming disulfide bonds through its thiol isomerase, oxidase, and Calculated MW reductase activity. 57kDa/58kDa Category Primary antibody Applications WB, IF Cross-Reactivity Human, Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 64714 Q13087 IF 1:50 - 1:200 Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 326-525 of human PDIA2 (NP_006840.2). Synonyms PDIA2;PDA2;PDI;PDIP;PDIR Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of various cell lines, using PDIA2 antibody (A12789) at 1:3000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Detection: ECL Basic Kit (RM00020). Exposure time: 90s. Immunofluorescence analysis of NIH/3T3 cells using PDIA2 antibody (A12789) at dilution of 1:100.