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Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
Knock-In of a 25-Kilobase Pair BAC-Derived Donor Molecule By
ManuscriptbioRxiv preprint doi: https://doi.org/10.1101/076612; this version posted SeptemberClick here23, 2016. to download The copyright Manuscript holder for this BIM preprint CRISPR (which Paper.docxwas not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. 1 2 3 4 5 6 7 8 Knock-In of a 25-Kilobase Pair BAC-Derived Donor Molecule 9 by Traditional and CRISPR/Cas9-Stimulated Homologous Recombination 10 11 Short title: 25-Kilobase Pair Traditional and CRISPR/Cas9-Stimulated Knock-Ins 12 13 14 15 16 17 18 19 20 Tiffany Leidy-Davis1, Kai Cheng1,†, Leslie O. Goodwin1, Judith L. Morgan1, Wen Chun Juan2,‡, Xavier Roca3, 21 Sin-Tiong Ong4-7, David E. Bergstrom1,8,* 22 23 24 25 26 27 28 29 30 31 32 33 1Genetic Resource Science, The Jackson Laboratory, Bar Harbor, ME, USA 34 2Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore 35 3 School of Biological Sciences, Nanyang Technological University, Singapore 36 4Cancer and Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, Singapore 37 5Department of Haematology, Singapore General Hospital, Singapore 38 6Department of Medical Oncology, National Cancer Centre Singapore, Singapore 39 7Department of Medicine, Duke University Medical Center, Durham, NC, USA 40 8Cancer Center, The Jackson Laboratory, Bar Harbor, ME, USA 41 42 43 44 †Current address: Genetically Engineered Models and Services, Charles River Laboratories, Wilmington, MA, 45 USA 46 47 48 49 ‡ Current address: MSD Pharma (Singapore) Private Limited, Singapore 50 51 52 53 *To whom correspondence should be addressed at [email protected] 54 55 1 bioRxiv preprint doi: https://doi.org/10.1101/076612; this version posted September 23, 2016. -
Synergy of Bcl2 and Histone Deacetylase Inhibition Against Leukemic Cells from Cutaneous T-Cell Lymphoma Patients Benoit Cyrenne
Yale University EliScholar – A Digital Platform for Scholarly Publishing at Yale Yale Medicine Thesis Digital Library School of Medicine January 2018 Synergy Of Bcl2 And Histone Deacetylase Inhibition Against Leukemic Cells From Cutaneous T-Cell Lymphoma Patients Benoit Cyrenne Follow this and additional works at: https://elischolar.library.yale.edu/ymtdl Recommended Citation Cyrenne, Benoit, "Synergy Of Bcl2 And Histone Deacetylase Inhibition Against Leukemic Cells From Cutaneous T-Cell Lymphoma Patients" (2018). Yale Medicine Thesis Digital Library. 3388. https://elischolar.library.yale.edu/ymtdl/3388 This Open Access Thesis is brought to you for free and open access by the School of Medicine at EliScholar – A Digital Platform for Scholarly Publishing at Yale. It has been accepted for inclusion in Yale Medicine Thesis Digital Library by an authorized administrator of EliScholar – A Digital Platform for Scholarly Publishing at Yale. For more information, please contact [email protected]. i Synergy of BCL2 and histone deacetylase inhibition against leukemic cells from cutaneous T-cell lymphoma patients A Thesis Submitted to the Yale University School of Medicine in Partial Fulfillment of the Requirements for the Degree of Doctor of Medicine Benoit M. Cyrenne 2018 ii SYNERGY OF BCL2 AND HISTONE DEACETYLASE INHIBITION AGAINST LEUKEMIC CELLS FROM CUTANEOUS T-CELL LYMPHOMA PATIENTS. Benoit Cyrenne, Julia Lewis, Jason Weed, Kacie Carlson, Fatima Mirza, Francine Foss, and Michael Girardi. Department of Dermatology, Yale University, School of Medicine, New Haven, CT. The presence and degree of peripheral blood involvement in patients with cutaneous T-cell lymphoma (CTCL) portend a worse clinical outcome. Available systemic therapies for CTCL may variably decrease tumor burden and improve quality of life, but offer limited effects on survival; thus, novel approaches to the treatment of advanced stages of this non-Hodgkin lymphoma are clearly warranted. -
Taf7l Cooperates with Trf2 to Regulate Spermiogenesis
Taf7l cooperates with Trf2 to regulate spermiogenesis Haiying Zhoua,b, Ivan Grubisicb,c, Ke Zhengd,e, Ying Heb, P. Jeremy Wangd, Tommy Kaplanf, and Robert Tjiana,b,1 aHoward Hughes Medical Institute and bDepartment of Molecular and Cell Biology, Li Ka Shing Center for Biomedical and Health Sciences, California Institute for Regenerative Medicine Center of Excellence, University of California, Berkeley, CA 94720; cUniversity of California Berkeley–University of California San Francisco Graduate Program in Bioengineering, University of California, Berkeley, CA 94720; dDepartment of Animal Biology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104; eState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 210029, People’s Republic of China; and fSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel Contributed by Robert Tjian, September 11, 2013 (sent for review August 20, 2013) TATA-binding protein (TBP)-associated factor 7l (Taf7l; a paralogue (Taf4b; a homolog of Taf4) (9), TBP-related factor 2 (Trf2) (10, of Taf7) and TBP-related factor 2 (Trf2) are components of the core 11), and Taf7l (12, 13). For example, mice bearing mutant or promoter complex required for gene/tissue-specific transcription deficient CREM showed decreased postmeiotic gene expression of protein-coding genes by RNA polymerase II. Previous studies and defective spermiogenesis (14). Mice deficient in Taf4b, reported that Taf7l knockout (KO) mice exhibit structurally abnor- a testis-specific homolog of Taf4, are initially normal but undergo mal sperm, reduced sperm count, weakened motility, and compro- progressive germ-cell loss and become infertile by 3 mo of age −/Y mised fertility. -
Co-Expression Module Analysis Reveals Biological Processes
Shi et al. BMC Systems Biology 2010, 4:74 http://www.biomedcentral.com/1752-0509/4/74 RESEARCH ARTICLE Open Access Co-expressionResearch article module analysis reveals biological processes, genomic gain, and regulatory mechanisms associated with breast cancer progression Zhiao Shi1,2, Catherine K Derow3 and Bing Zhang*3 Abstract Background: Gene expression signatures are typically identified by correlating gene expression patterns to a disease phenotype of interest. However, individual gene-based signatures usually suffer from low reproducibility and interpretability. Results: We have developed a novel algorithm Iterative Clique Enumeration (ICE) for identifying relatively independent maximal cliques as co-expression modules and a module-based approach to the analysis of gene expression data. Applying this approach on a public breast cancer dataset identified 19 modules whose expression levels were significantly correlated with tumor grade. The correlations were reproducible for 17 modules in an independent breast cancer dataset, and the reproducibility was considerably higher than that based on individual genes or modules identified by other algorithms. Sixteen out of the 17 modules showed significant enrichment in certain Gene Ontology (GO) categories. Specifically, modules related to cell proliferation and immune response were up-regulated in high- grade tumors while those related to cell adhesion was down-regulated. Further analyses showed that transcription factors NYFB, E2F1/E2F3, NRF1, and ELK1 were responsible for the up-regulation of the cell proliferation modules. IRF family and ETS family proteins were responsible for the up-regulation of the immune response modules. Moreover, inhibition of the PPARA signaling pathway may also play an important role in tumor progression. -
The Structure-Function Relationship of Angular Estrogens and Estrogen Receptor Alpha to Initiate Estrogen-Induced Apoptosis in Breast Cancer Cells S
Supplemental material to this article can be found at: http://molpharm.aspetjournals.org/content/suppl/2020/05/03/mol.120.119776.DC1 1521-0111/98/1/24–37$35.00 https://doi.org/10.1124/mol.120.119776 MOLECULAR PHARMACOLOGY Mol Pharmacol 98:24–37, July 2020 Copyright ª 2020 The Author(s) This is an open access article distributed under the CC BY Attribution 4.0 International license. The Structure-Function Relationship of Angular Estrogens and Estrogen Receptor Alpha to Initiate Estrogen-Induced Apoptosis in Breast Cancer Cells s Philipp Y. Maximov, Balkees Abderrahman, Yousef M. Hawsawi, Yue Chen, Charles E. Foulds, Antrix Jain, Anna Malovannaya, Ping Fan, Ramona F. Curpan, Ross Han, Sean W. Fanning, Bradley M. Broom, Daniela M. Quintana Rincon, Jeffery A. Greenland, Geoffrey L. Greene, and V. Craig Jordan Downloaded from Departments of Breast Medical Oncology (P.Y.M., B.A., P.F., D.M.Q.R., J.A.G., V.C.J.) and Computational Biology and Bioinformatics (B.M.B.), University of Texas, MD Anderson Cancer Center, Houston, Texas; King Faisal Specialist Hospital and Research (Gen.Org.), Research Center, Jeddah, Kingdom of Saudi Arabia (Y.M.H.); The Ben May Department for Cancer Research, University of Chicago, Chicago, Illinois (R.H., S.W.F., G.L.G.); Center for Precision Environmental Health and Department of Molecular and Cellular Biology (C.E.F.), Mass Spectrometry Proteomics Core (A.J., A.M.), Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Mass Spectrometry Proteomics Core (A.M.), and Dan L. Duncan molpharm.aspetjournals.org -
Repaglinide Silences the FOXO3/Lumican Axis and Represses the Associated Metastatic Potential of Neuronal Cancer Cells
cells Article Repaglinide Silences the FOXO3/Lumican Axis and Represses the Associated Metastatic Potential of Neuronal Cancer Cells Stefan Salcher 1 , Gilles Spoden 1, Julia M. Huber 1, Georg Golderer 2, Herbert Lindner 3 , Michael J. Ausserlechner 4 , Ursula Kiechl-Kohlendorfer 5 , Kathrin Geiger 1 and Petra Obexer 1,5,* 1 Tyrolean Cancer Research Institute, 6020 Innsbruck, Austria; stefan.salcher@tkfi.at (S.S.); [email protected] (G.S.); [email protected] (J.M.H.); [email protected] (K.G.) 2 Division of Biological Chemistry, Biocenter, Medical University Innsbruck, 6020 Innsbruck, Austria; [email protected] 3 Division of Clinical Biochemistry, Medical University Innsbruck, 6020 Innsbruck, Austria; [email protected] 4 Department of Pediatrics I, Medical University Innsbruck, 6020 Innsbruck, Austria; [email protected] 5 Department of Pediatrics II, Medical University Innsbruck, 6020 Innsbruck, Austria; [email protected] * Correspondence: [email protected]; Tel.: +43-512-504-25439 Received: 30 October 2019; Accepted: 16 December 2019; Published: 18 December 2019 Abstract: The transcription factor FOXO3 is associated with poor outcome in high-stage neuroblastoma (NB), as it facilitates chemoprotection and tumor angiogenesis. In other tumor entities, FOXO3 stimulates metastasis formation, one of the biggest challenges in the treatment of aggressive NB. However, the impact of FOXO3 on the metastatic potential of neuronal tumor cells remains largely unknown. In the present study, we uncover the small leucine-rich proteoglycan family member lumican (LUM) as a FOXO3-regulated gene that stimulates cellular migration in NB. -
Expression Profile of BCL-2, BCL-XL and MCL-1 Predicts Pharmacological
Author Manuscript Published OnlineFirst on March 3, 2016; DOI: 10.1158/1535-7163.MCT-15-0730 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Expression profile of BCL-2, BCL-XL and MCL-1 predicts pharmacological response to the BCL-2 selective antagonist venetoclax in multiple myeloma models Elizabeth Punnoose1*, Joel D Leverson2*, Franklin Peale3, Erwin R Boghaert4, Lisa Belmont5, Nguyen Tan5, Amy Young6, Michael Mitten4, Ellen Ingalla6, Walter Darbonne1, Anatol Oleksijew4, Paul Tapang4, Peng Yue5, Jason Oeh6, Leslie Lee6, Sophie Maiga7, Wayne J Fairbrother8, Martine Amiot7, Andrew J Souers4, Deepak Sampath6# 1Oncology Biomarkers, Genentech 2Oncology Development, AbbVie, Inc. 3Research Pathology, Genentech 4Oncology Discovery, AbbVie, Inc. 5Discovery Oncology, Genentech 6Translational Oncology, Genentech 7INSERM UMR892, CNRS UMR6299, University of Nantes, France 8Early Discovery Biochemistry, Genentech *These authors contributed equally #Address correspondence to Deepak Sampath, Genentech, 1 DNA Way, South San Francisco, CA 94080. [email protected] Running Title: Predictive biomarkers of venetoclax efficacy in myeloma 1 Downloaded from mct.aacrjournals.org on September 24, 2021. © 2016 American Association for Cancer Research. Author Manuscript Published OnlineFirst on March 3, 2016; DOI: 10.1158/1535-7163.MCT-15-0730 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Keywords: BCL-2 pro-survival proteins, multiple myeloma, drug resistance, predictive biomarkers Abbreviations: BCL-2 (B-cell lymphoma 2), BCL-XL (B-cell lymphoma-extra large or BCL2-like 1 isoform 1), MCL-1 (Myeloid Cell Leukemia 1), BIM (BCL-2-like protein 11), MM (Multiple Myeloma), HMCL (human myeloma cell line). -
Supplemental Information Venetoclax Is Effective in Small Cell Lung
Supplemental Information Venetoclax is effective in small cell lung cancers with high BCL-2 expression Timothy L. Lochmann, Konstantinos V. Floros, Mitra Naseri, Krista M. Powell, Wade Cook, Ryan J. March, Giovanna T. Stein, Patricia Greninger, Yuki Kato Maves, Laura R. Saunders, Scott J. Dylla, Carlotta Costa, Sosipatros A. Boikos, Joel D. Leverson, Andrew J. Souers, Geoffrey W. Krystal, Hisashi Harada, Cyril H. Benes, and Anthony C. Faber Supplemental Figure S1. Venetoclax sensitivity and BCL-2 mRNA correlation analysis. (A) LN IC50 waterfall plot of 26 tumor types from Fig. 1A. (B) Correlation analysis of BCL2 mRNA expression from the GDSC compared to venetoclax sensitivity, plotted as AUC vs BCL2 mRNA (left panel) or LN IC50 vs BCL2 mRNA (right panel). Linear regression is plotted as a red line. Correlation was determined using Spearman’s correlation. Supplemental Figure S2. Cell viability assays of border line venetoclax-sensitive and - resistant SCLC cell lines and combination of venetoclax with chemotherapy. 5-day CellTiter-Glo assays were performed on the sensitive (AUC=0.965) NCI-H187 cell line (A), and the resistant (AUC=0.987) NCI-H525 cell line (B). Error bars are plotted as standard error. (C) A dose matrix of Venetoclax and the combination of Cisplatin and Etoposide was performed on the venetoclax-sensitive DMS-53 cell line, venetoclax-resistant, low BCL-2 NCI- H2171 and NCI-H82 cell lines, and the venetoclax-resistant high BCL-2 NCI-H1048, NCI- H1688, and NCI-H211 cell lines (displayed concentrations are µM). Percent of the excess over the Bliss at each dose of the drug is presented. -
2Q13 Microduplications
2q13 microduplications rarechromo.org 2q13 microduplications A 2q13 microduplication is a rare genetic condition caused by a small piece of extra genetic material from one of the body’s chromosomes - chromosome 2. Duplications can vary in size but those that are too small to be visible under the microscope using standard techniques are called microduplications. For typical and healthy development, chromosomes should contain the expected amount of genetic material. Like most other chromosome disorders, having an extra piece of chromosome 2 may affect the development and intellectual abilities of a child. The outcome of having a 2q13 microduplication is very variable and depends on a number of factors including what and how much genetic material is duplicated. Background on chromosomes Our bodies are made up of different types of cells, almost all of which contain the same chromosomes. Each chromosome consists of DNA that carries the code for hundreds to thousands of genes. Genes can be thought of as individual instruction booklets (or recipes) that contain all the genetic information that tells the body how to develop, grow and function. Chromosomes (and hence genes) usually come in pairs with one member of each chromosome pair being inherited from each parent. Most cells of the human body have a total of 46 (23 pairs of) chromosomes. The egg and the sperm cells, however, have 23 unpaired chromosomes, so that when the egg and sperm join together at conception, the chromosomes pair up to make 46 in total. Of these 46 chromosomes, 44 are grouped in 22 pairs, numbered 1 to 22. -
Phenotype-Based Drug Screening Reveals Association Between Venetoclax Response and Differentiation Stage in Acute Myeloid Leukemia
Acute Myeloid Leukemia SUPPLEMENTARY APPENDIX Phenotype-based drug screening reveals association between venetoclax response and differentiation stage in acute myeloid leukemia Heikki Kuusanmäki, 1,2 Aino-Maija Leppä, 1 Petri Pölönen, 3 Mika Kontro, 2 Olli Dufva, 2 Debashish Deb, 1 Bhagwan Yadav, 2 Oscar Brück, 2 Ashwini Kumar, 1 Hele Everaus, 4 Bjørn T. Gjertsen, 5 Merja Heinäniemi, 3 Kimmo Porkka, 2 Satu Mustjoki 2,6 and Caroline A. Heckman 1 1Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki; 2Hematology Research Unit, Helsinki University Hospital Comprehensive Cancer Center, Helsinki; 3Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland; 4Department of Hematology and Oncology, University of Tartu, Tartu, Estonia; 5Centre for Cancer Biomarkers, De - partment of Clinical Science, University of Bergen, Bergen, Norway and 6Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland ©2020 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2018.214882 Received: December 17, 2018. Accepted: July 8, 2019. Pre-published: July 11, 2019. Correspondence: CAROLINE A. HECKMAN - [email protected] HEIKKI KUUSANMÄKI - [email protected] Supplemental Material Phenotype-based drug screening reveals an association between venetoclax response and differentiation stage in acute myeloid leukemia Authors: Heikki Kuusanmäki1, 2, Aino-Maija -
35Th International Society for Animal Genetics Conference 7
35th INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE 7. 23.16 – 7.27. 2016 Salt Lake City, Utah ABSTRACT BOOK https://www.asas.org/meetings/isag2016 INVITED SPEAKERS S0100 – S0124 https://www.asas.org/meetings/isag2016 epigenetic modifications, such as DNA methylation, and measuring different proteins and cellular metab- INVITED SPEAKERS: FUNCTIONAL olites. These advancements provide unprecedented ANNOTATION OF ANIMAL opportunities to uncover the genetic architecture GENOMES (FAANG) ASAS-ISAG underlying phenotypic variation. In this context, the JOINT SYMPOSIUM main challenge is to decipher the flow of biological information that lies between the genotypes and phe- notypes under study. In other words, the new challenge S0100 Important lessons from complex genomes. is to integrate multiple sources of molecular infor- T. R. Gingeras* (Cold Spring Harbor Laboratory, mation (i.e., multiple layers of omics data to reveal Functional Genomics, Cold Spring Harbor, NY) the causal biological networks that underlie complex traits). It is important to note that knowledge regarding The ~3 billion base pairs of the human DNA rep- causal relationships among genes and phenotypes can resent a storage devise encoding information for be used to predict the behavior of complex systems, as hundreds of thousands of processes that can go on well as optimize management practices and selection within and outside a human cell. This information is strategies. Here, we describe a multi-step procedure revealed in the RNAs that are composed of 12 billion for inferring causal gene-phenotype networks underly- nucleotides, considering the strandedness and allelic ing complex phenotypes integrating multi-omics data. content of each of the diploid copies of the genome.