EHMT2 Directs DNA Methylation for Efficient Gene Silencing in Mouse Embryos
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Comprehensive Identification and Characterization of Somatic Copy Number Alterations in Triple‑Negative Breast Cancer
INTERNATIONAL JOURNAL OF ONCOLOGY 56: 522-530, 2020 Comprehensive identification and characterization of somatic copy number alterations in triple‑negative breast cancer ZAIBING LI1,2*, XIAO ZHANG3*, CHENXIN HOU4, YUQING ZHOU4, JUNLI CHEN1, HAOYANG CAI5, YIFENG YE3, JINPING LIU3 and NING HUANG1 1Department of Pathophysiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan 610041; 2Department of Pathophysiology, School of Basic Medical Science, Southwest Medical University, Luzhou, Sichuan 646000; 3Department of Breast Surgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731; 4West China Medical School, Sichuan University, Chengdu, Sichuan 610041; 5Center of Growth, Metabolism and Aging, Key Laboratory of Bio‑Resources and Eco‑Environment, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, P.R. China Received January 30, 2019; Accepted August 30, 2019 DOI: 10.3892/ijo.2019.4950 Abstract. Triple-negative breast cancer (TNBC) accounts hierarchical clustering of tumors resulted in three main for ~15% of all breast cancer diagnoses each year. Patients subgroups that exhibited distinct CNA profiles, which with TNBC tend to have a higher risk for early relapse and may reveal the heterogeneity of molecular mechanisms in a worse prognosis. TNBC is characterized by extensive TNBC subgroups. These results will extend the molecular somatic copy number alterations (CNAs). However, the DNA understanding of TNBC and will facilitate the discovery of CNA profile of TNBC remains to be extensively investigated. therapeutic and diagnostic target candidates. The present study assessed the genomic profile of CNAs in 201 TNBC samples, aiming to identify recurrent CNAs that Introduction may drive the pathogenesis of TNBC. -
Coordinate Regulation of Long Non-Coding Rnas and Protein-Coding Genes in Germ- Free Mice Joseph Dempsey, Angela Zhang and Julia Yue Cui*
Dempsey et al. BMC Genomics (2018) 19:834 https://doi.org/10.1186/s12864-018-5235-3 RESEARCHARTICLE Open Access Coordinate regulation of long non-coding RNAs and protein-coding genes in germ- free mice Joseph Dempsey, Angela Zhang and Julia Yue Cui* Abstract Background: Long non-coding RNAs (lncRNAs) are increasingly recognized as regulators of tissue-specific cellular functions and have been shown to regulate transcriptional and translational processes, acting as signals, decoys, guides, and scaffolds. It has been suggested that some lncRNAs act in cis to regulate the expression of neighboring protein-coding genes (PCGs) in a mechanism that fine-tunes gene expression. Gut microbiome is increasingly recognized as a regulator of development, inflammation, host metabolic processes, and xenobiotic metabolism. However, there is little known regarding whether the gut microbiome modulates lncRNA gene expression in various host metabolic organs. The goals of this study were to 1) characterize the tissue-specific expression of lncRNAs and 2) identify and annotate lncRNAs differentially regulated in the absence of gut microbiome. Results: Total RNA was isolated from various tissues (liver, duodenum, jejunum, ileum, colon, brown adipose tissue, white adipose tissue, and skeletal muscle) from adult male conventional and germ-free mice (n = 3 per group). RNA-Seq was conducted and reads were mapped to the mouse reference genome (mm10) using HISAT. Transcript abundance and differential expression was determined with Cufflinks using the reference databases NONCODE 2016 for lncRNAs and UCSC mm10 for PCGs. Although the constitutive expression of lncRNAs was ubiquitous within the enterohepatic (liver and intestine) and the peripheral metabolic tissues (fat and muscle) in conventional mice, differential expression of lncRNAs by lack of gut microbiota was highly tissue specific. -
Antisense Afp Transcripts in Mouse Liver and Their Potential Role in Afp Gene Regulation
University of Kentucky UKnowledge Theses and Dissertations--Microbiology, Microbiology, Immunology, and Molecular Immunology, and Molecular Genetics Genetics 2017 ANTISENSE AFP TRANSCRIPTS IN MOUSE LIVER AND THEIR POTENTIAL ROLE IN AFP GENE REGULATION Maria S. Dixon University of Kentucky, [email protected] Digital Object Identifier: https://doi.org/10.13023/ETD.2017.356 Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Dixon, Maria S., "ANTISENSE AFP TRANSCRIPTS IN MOUSE LIVER AND THEIR POTENTIAL ROLE IN AFP GENE REGULATION" (2017). Theses and Dissertations--Microbiology, Immunology, and Molecular Genetics. 14. https://uknowledge.uky.edu/microbio_etds/14 This Doctoral Dissertation is brought to you for free and open access by the Microbiology, Immunology, and Molecular Genetics at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Microbiology, Immunology, and Molecular Genetics by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
Proteomic Analysis Reveals a Mitochondrial Remodeling of Βtc3 Cells in Response to Nanotopography
fcell-08-00508 July 29, 2020 Time: 12:23 # 1 ORIGINAL RESEARCH published: 29 July 2020 doi: 10.3389/fcell.2020.00508 Proteomic Analysis Reveals a Mitochondrial Remodeling of bTC3 Cells in Response to Nanotopography Elisa Maffioli1,2†, Alessandra Galli3†, Simona Nonnis1,2, Algerta Marku3, Armando Negri1, Claudio Piazzoni2,4, Paolo Milani2,4, Cristina Lenardi2,4, Carla Perego3* and Gabriella Tedeschi1,2* 1 Department of Veterinary Medicine, University of Milano, Milan, Italy, 2 Centre for Nanostructured Materials and Interfaces, University of Milano, Milan, Italy, 3 Department of Pharmacological and Biomolecular Sciences, University of Milano, Milan, Italy, 4 Department of Physics, University of Milano, Milan, Italy Edited by: Recently, using cluster-assembled zirconia substrates with tailored roughness produced Luisa Pieroni, Santa Lucia Foundation (IRCCS), Italy by supersonic cluster beam deposition, we demonstrated that b cells can sense Reviewed by: nanoscale features of the substrate and can translate these stimuli into a Massimiliano Galluzzi, mechanotransductive pathway capable of preserveing b-cell differentiation and function Chinese Academy of Sciences (CAS), in vitro in long-term cultures of human islets. Using the same proteomic approach, China Geeta Upadhyay, we now focused on the mitochondrial fraction of bTC3 cells grown on the same Uniformed Services University of the zirconia substrates and characterized the morphological and proteomic modifications Health Sciences, United States Gian Maria Fimia, induced by the nanostructure. The results suggest that, in bTC3 cells, mitochondria Sapienza University of Rome, Italy are perturbed by the nanotopography and activate a program involving metabolism *Correspondence: modification and modulation of their interplay with other organelles. Data were confirmed Carla Perego in INS1E, a different b-cell model. -
Functional Analysis of Structural Variation in the 2D and 3D Human Genome
FUNCTIONAL ANALYSIS OF STRUCTURAL VARIATION IN THE 2D AND 3D HUMAN GENOME by Conor Mitchell Liam Nodzak A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Bioinformatics and Computational Biology Charlotte 2019 Approved by: Dr. Xinghua Mindy Shi Dr. Rebekah Rogers Dr. Jun-tao Guo Dr. Adam Reitzel ii c 2019 Conor Mitchell Liam Nodzak ALL RIGHTS RESERVED iii ABSTRACT CONOR MITCHELL LIAM NODZAK. Functional analysis of structural variation in the 2D and 3D human genome. (Under the direction of DR. XINGHUA MINDY SHI) The human genome consists of over 3 billion nucleotides that have an average distance of 3.4 Angstroms between each base, which equates to over two meters of DNA contained within the 125 µm3 volume diploid cell nuclei. The dense compaction of chromatin by the supercoiling of DNA forms distinct architectural modules called topologically associated domains (TADs), which keep protein-coding genes, noncoding RNAs and epigenetic regulatory elements in close nuclear space. It has recently been shown that these conserved chromatin structures may contribute to tissue-specific gene expression through the encapsulation of genes and cis-regulatory elements, and mutations that affect TADs can lead to developmental disorders and some forms of cancer. At the population-level, genomic structural variation contributes more to cumulative genetic difference than any other class of mutation, yet much remains to be studied as to how structural variation affects TADs. Here, we study the func- tional effects of structural variants (SVs) through the analysis of chromatin topology and gene activity for three trio families sampled from genetically diverse popula- tions from the Human Genome Structural Variation Consortium. -
Functional Annotation of Genes Overlapping Copy Number Variants in Autistic Patients: Focus on Axon Pathfinding
136 Current Genomics, 2010, 11, 136-145 Functional Annotation of Genes Overlapping Copy Number Variants in Autistic Patients: Focus on Axon Pathfinding Silvia Sbacchi1, Francesco Acquadro2, Ignazio Calò1, Francesco Calì3 and Valentino Romano*,1,3 1Dipartimento di Oncologia Sperimentale e Applicazioni Cliniche, Università degli Studi di Palermo, Palermo; 2Molecular Cytogenetics Group, Centro Nacional de Investigaciones Oncologicas (C.N.I.O.), and Centro de Investiga- ciones de Enfermidades Raras (CIBERER), Madrid, Spain; 3Associazione Oasi Maria SS. (I.R.C.C.S.), Troina (EN), Italy Abstract: We have used Gene Ontology (GO) and pathway analyses to uncover the common functions associated to the genes overlapping Copy Number Variants (CNVs) in autistic patients. Our source of data were four published studies [1- 4]. We first applied a two-step enrichment strategy for autism-specific genes. We fished out from the four mentioned stud- ies a list of 2928 genes overall overlapping 328 CNVs in patients and we first selected a sub-group of 2044 genes after excluding those ones that are also involved in CNVs reported in the Database of Genomic Variants (enrichment step 1). We then selected from the step 1-enriched list a sub-group of 514 genes each of which was found to be deleted or dupli- cated in at least two patients (enrichment step 2). The number of statistically significant processes and pathways identified by the Database for Annotation, Visualization and Integrated Discovery and Ingenuity Pathways Analysis softwares with the step 2-enriched list was significantly higher compared to the step 1-enriched list. In addition, statistically significant GO terms, biofunctions and pathways related to nervous system development and function were exclusively identified by the step 2-enriched list of genes. -
The Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease
University of Groningen Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease van der Harst, Pim; Verweij, Niek Published in: Circulation research DOI: 10.1161/CIRCRESAHA.117.312086 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2018 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): van der Harst, P., & Verweij, N. (2018). Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease. Circulation research, 122(3), 433-443. https://doi.org/10.1161/CIRCRESAHA.117.312086 Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne- amendment. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. -
Epigenetic Regulation of WNT3A Enhancer During Regeneration of Injured Cortical Neurons
International Journal of Molecular Sciences Article Epigenetic Regulation of WNT3A Enhancer during Regeneration of Injured Cortical Neurons 1, 2, 3 2 1 Chu-Yuan Chang y, Jui-Hung Hung y, Liang-Wei Huang , Joye Li , Ka Shing Fung , Cheng-Fu Kao 4 and Linyi Chen 1,5,* 1 Institute of Molecular Medicine, National Tsing Hua University, Hsinchu 30013, Taiwan; [email protected] (C.-Y.C.); [email protected] (K.S.F.) 2 Department of Computer Science, National Chiao Tung University, Hsinchu 30010, Taiwan; [email protected] (J.-H.H.); [email protected] (J.L.) 3 Department of Life Science, National Tsing Hua University, Hsinchu 30013, Taiwan; [email protected] 4 Institute of Cellular and Organismic Biology, Academia Sinica, Taipei 11574, Taiwan; [email protected] 5 Department of Medical Science, National Tsing Hua University, Hsinchu 30013, Taiwan * Correspondence: [email protected]; Tel.: +886-3-574-2775; Fax: +886-3-571-5934 These authors contributed equally to this work. y Received: 21 February 2020; Accepted: 9 March 2020; Published: 10 March 2020 Abstract: Traumatic brain injury is known to reprogram the epigenome. Chromatin immunoprecipitation-sequencing of histone H3 lysine 27 acetylation (H3K27ac) and tri-methylation of histone H3 at lysine 4 (H3K4me3) marks was performed to address the transcriptional regulation of candidate regeneration-associated genes. In this study, we identify a novel enhancer region for induced WNT3A transcription during regeneration of injured cortical neurons. We further demonstrated an increased mono-methylation of histone H3 at lysine 4 (H3K4me1) modification at this enhancer concomitant with a topological interaction between sub-regions of this enhancer and with promoter of WNT3A gene. -
Mouse Asz1 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Asz1 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Asz1 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Asz1 gene (NCBI Reference Sequence: NM_023729 ; Ensembl: ENSMUSG00000010796 ) is located on Mouse chromosome 6. 13 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 13 (Transcript: ENSMUST00000010940). Exon 3~4 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Asz1 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-39F14 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Homozygous null male mice are sterile resulting from a block in spermatid development. Exon 3 starts from about 14.46% of the coding region. The knockout of Exon 3~4 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 3504 bp, and the size of intron 4 for 3'-loxP site insertion: 26235 bp. The size of effective cKO region: ~1899 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 3 4 13 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Asz1 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Examination of Testicular Gene Expression Patterns in Yorkshire Pigs with High and Low Levels of Boar Taint
Animal Biotechnology, 21: 77–87, 2010 Copyright # Taylor & Francis Group, LLC ISSN: 1049-5398 print=1532-2378 online DOI: 10.1080/10495390903500607 EXAMINATION OF TESTICULAR GENE EXPRESSION PATTERNS IN YORKSHIRE PIGS WITH HIGH AND LOW LEVELS OF BOAR TAINT Maxwell C. K. Leung, Kiera-Lynne Bowley, and E. James Squires Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada Boar taint refers to the objectionable odor and flavor in meat of some uncastrated male pigs, which is primarily due to high levels of androstenone, a steroid produced in the testis, and 3-methylindole (skatole) which is produced by bacterial degradation of tryptophan in the intestinal tract. We determined testicular gene expression patterns of Yorkshire pigs with high and low levels of boar taint using swine DNA microarrays with two-color hybridization. The microarrays contained 19486 annotated probes; the expressions of 8719 genes were detected. Fifty-three genes were significantly up-regulated in the high boar taint group and four were significantly down-regulated (p < 0.05; fold change > Æ1.55). Gene ontology (GO) analysis short-listed 11 significant GO terms (p < 0.05), most of which are associated with steroid metabolism and mitochondrial components. Comparing the results of this study with published work on Duroc and Norwegian Landrace boars,1 eleven genes (HSB17B4, FDX1, CYP11A1, DHRS4, PRDX1, CYB5, CYP17A1, FTL, IDI1, SULT2A1, and RDH12) were over-expressed in all three breeds with a high androstenone level. The current findings confirmed a number of candidate genes identified in previous functional studies and suggest several new genes differentially expressed with different levels of boar taint. -
Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks
International Journal of Molecular Sciences Article Neglog: Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks Suyu Mei 1,* and Kun Zhang 2,* 1 Software College, Shenyang Normal University, Shenyang 110034, China 2 Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Department of Computer Science, Xavier University of Louisiana, New Orleans, LA 70125, USA * Correspondence: [email protected] (S.M.); [email protected] (K.Z.) Received: 27 September 2019; Accepted: 11 October 2019; Published: 12 October 2019 Abstract: Rapid reconstruction of genome-scale protein–protein interaction (PPI) networks is instrumental in understanding the cellular processes and disease pathogenesis and drug reactions. However, lack of experimentally verified negative data (i.e., pairs of proteins that do not interact) is still a major issue that needs to be properly addressed in computational modeling. In this study, we take advantage of the very limited experimentally verified negative data from Negatome to infer more negative data for computational modeling. We assume that the paralogs or orthologs of two non-interacting proteins also do not interact with high probability. We coin an assumption as “Neglog” this assumption is to some extent supported by paralogous/orthologous structure conservation. To reduce the risk of bias toward the negative data from Negatome, we combine Neglog with less biased random sampling according to a certain ratio to construct training data. L2-regularized logistic regression is used as the base classifier to counteract noise and train on a large dataset. Computational results show that the proposed Neglog method outperforms pure random sampling method with sound biological interpretability. -
Specification and Epigenetic Resetting of the Pig Germline Exhibit Conservation with the Human Lineage
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.07.241075; this version posted August 7, 2020. The copyright holder for this preprint (which was 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-ND 4.0 International license. Specification and epigenetic resetting of the pig germline exhibit conservation with the human lineage Qifan Zhu1#, Fei Sang2#, Sarah Withey1^§, Walfred Tang3,4^, Sabine Dietmann3^, Doris Klisch1, Priscila Ramos-Ibeas1§, Haixin Zhang1§, Cristina E. Requena5,6, Petra Hajkova5,6, Matt Loose2, M. Azim Surani3,4,7*, Ramiro Alberio1* 1 School of Biosciences, University of Nottingham, Sutton Bonington Campus, LE12 5RD, UK. 2 School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK. 3 Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK. 4 Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK. 5 MRC London Institute of Medical Sciences (LMS), London, UK. 6 Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK. 7 Wellcome Trust Medical Research Council Stem Cell Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK § Current address: P.R-I.: Animal Reproduction Department, National Institute for Agricultural and Food Research and Technology, Madrid 28040, Spain; S.W.: Stem Cell Engineering Group, Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Building 75, St Lucia, QLD 4072, Australia. # Equal contribution, ^ Equal contribution * Co-corresponding authors Email addresses of corresponding authors: [email protected]; [email protected] Lead contact: Ramiro Alberio 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.07.241075; this version posted August 7, 2020.