Microrna Profiling Analysis of Differences Between the Melanoma
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Inhibition of Breast and Brain Cancer Cell Growth by Bccipα, An
Oncogene (2001) 20, 336 ± 345 ã 2001 Nature Publishing Group All rights reserved 0950 ± 9232/01 $15.00 www.nature.com/onc Inhibition of breast and brain cancer cell growth by BCCIPa,an evolutionarily conserved nuclear protein that interacts with BRCA2 Jingmei Liu1, Yuan Yuan1,2, Juan Huan2 and Zhiyuan Shen*,1 1Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center; 915 Camino de Salud, NE. Albuquerque, New Mexico, NM 87131, USA; 2Graduate Program of Molecular Genetics, College of Medicine, University of Illinois at Chicago, 900 S. Ashland Ave. Chicago, Illinois, IL 60607, USA BRCA2 is a tumor suppressor gene involved in mammary mouse BRCA2. It is expected that important functions tumorigenesis. Although important functions have been of BRCA2 reside in these conserved domains. Based on assigned to a few conserved domains of BRCA2, little is the functional analysis of the conserved BRCA2 known about the longest internal conserved domain domains, several models have been proposed for the encoded by exons 14 ± 24. We identi®ed a novel protein, role of BRCA2 in tumor suppression. designated BCCIPa, that interacts with part of the An N-terminus conserved domain in exon 3 (amino internal conserved region of human BRCA2. Human acids 48 ± 105) has been implicated in transcriptional BCCIP represents a family of proteins that are regulation of gene expression (Milner et al., 1997; evolutionarily conserved, and contain three distinct Nordling et al., 1998). Deletion of this region has been domains: an N-terminus acidic domain (NAD) of 30 ± identi®ed in breast cancers (Nordling et al., 1998). -
Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Statistical Methods for High-Dimensional Networked Data Analysis
Statistical Methods for High-Dimensional Networked Data Analysis by Yan Zhou A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Biostatistics) in The University of Michigan 2015 Doctoral Committee: Professor Peter X. K. Song, Chair Professor Matthias Kretzler Assistant Professor Xiaoquan William Wen Professor Ji Zhu c Yan Zhou 2015 All Rights Reserved To my family ii ACKNOWLEDGEMENTS I would like to acknowledge many people for their help throughout my graduate study. I would first like to express my deepest gratitude to my advisor Dr. Peter X.- K. Song, for sharing his knowledge, encouraging me to work hard and constantly try to improve my work, and giving me the freedom to explore a diverse set of projects. He is the one who first sparked my interest in networked data analysis. I am not only respectful for his immense knowledge, motivation, and enthusiasm towards research, but also appreciate his invaluable guidance and enthusiastic encouragement during many difficult moments in my research. I could not have imagined having a better advisor and mentor for my Ph.D. study. I would also like to thank my other thesis committee members Dr. Ji Zhu, Dr. Xiaoquan Willian Wen and Dr. Matthias Kretzler for their help and advices that made me more productive than what I could achieve on my own. All enlightening discussions I had with them have lead to better contents of this dissertation. In addition, I would like to acknowledge my collaborators, Dr. Pei Wang, Dr. Betsy Lozoff and Dr. Fengji Geng, who offered me excellent opportunities and con- structive suggestions to apply my statistical knowledge to solve real-world problems, which greatly strengthened the scientific background of my dissertation research. -
Supplementary Table 1. All Differentially Expressed Genes from Microarray Screening Analysis
Supplementary Table 1. All differentially expressed genes from microarray screening analysis. FCa (Gal-KD Gene Symbol Gene Name p-Value versus Vector) Up-regulated genes HAPLN1 hyaluronan and proteoglycan link protein 1 10.49 0.0027085 THBS1 thrombospondin 1 9.20 0.0022192 ODC1 ornithine decarboxylase 1 6.38 0.0055776 TGM2 transglutaminase 2 4.76 0.0015627 IL7R interleukin 7 receptor 4.75 0.0017245 SERINC2 serine incorporator 2 4.51 0.0014919 ITM2C integral membrane protein 2C 4.32 0.0044644 SERPINB7 serpin peptidase inhibitor, clade B, member 7 4.18 0.0081136 tumor necrosis factor receptor superfamily, member TNFRSF10D 4.01 0.0085561 10d TAGLN transgelin 3.90 0.0099963 LRRN4 leucine rich repeat neuronal 4 3.82 0.0046513 TGFB2 transforming growth factor beta 2 3.51 0.0035017 CPA4 carboxypeptidase A4 3.43 0.0008452 EPB41L3 erythrocyte membrane protein band 4.1-like 3 3.34 0.0025309 NRG1 neuregulin 1 3.28 0.0079724 F3 coagulation factor III (thromboplastin, tissue factor) 3.27 0.0038968 POLR3G polymerase III polypeptide G 3.26 0.0070675 SEMA7A semaphorin 7A 3.20 0.0087335 NT5E 5-nucleotidase 3.17 0.0036353 CAMK2N1 calmodulin-dependent protein kinase II inhibitor 1 3.07 0.0090141 TIMP3 TIMP metallopeptidase inhibitor 3 3.03 0.0047953 SERPINE1 serpin peptidase inhibitor, clade E 2.97 0.0053652 MALL mal, T-cell differentiation protein-like 2.88 0.0078205 DDAH1 dimethylarginine dimethylaminohydrolase 1 2.86 0.0002895 WDR3 WD repeat domain 3 2.85 0.0058842 WNT5A Wnt Family Member 5A 2.81 0.0043796 GPR1 G protein-coupled receptor 1 2.81 0.0021313 -
Efficient Zygotic Genome Editing Via RAD51-Enhanced Interhomolog Repair 2 3 Jonathan J
bioRxiv preprint doi: https://doi.org/10.1101/263699; this version posted August 6, 2018. 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-NC-ND 4.0 International license. 1 Efficient Zygotic Genome Editing via RAD51-Enhanced Interhomolog Repair 2 3 Jonathan J. Wilde1,3, Tomomi Aida1,3, Martin Wienisch1, Qiangge Zhang1, Peimin Qi1, and 4 Guoping Feng1,2* 5 6 Affiliations: 7 1McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, 8 Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA 9 10 2Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, 11 Massachusetts 02142, USA 12 13 3These authors contributed equally to this work. 14 15 *E-mail: [email protected] 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 bioRxiv preprint doi: https://doi.org/10.1101/263699; this version posted August 6, 2018. 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-NC-ND 4.0 International license. 47 Recent advances in genome editing have greatly improved knock-in (KI) efficiency1- 48 9. Searching for factors to further improve KI efficiency for therapeutic use and generation 49 of non-human primate (NHP) models, we found that the strand exchange protein RAD51 50 can significantly increase homozygous KI using CRISPR/Cas9 in mouse embryos through 51 an interhomolog repair (IHR) mechanism. -
Conservation of the BRCA1 Gene
Rochester Institute of Technology RIT Scholar Works Theses 1-2007 Conservation of the BRCA1 gene Matthew Gary Wronkowski Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Wronkowski, Matthew Gary, "Conservation of the BRCA1 gene" (2007). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Conservation of the BRCAI Gene Approved: G.R.Skuse Gary R. Skuse, Ph.D. Director of Bioinformatics Richard L. Doolittle Richard L. Doolittle, Ph.D. Head, Department of Biological Sciences Submitted in partial fulfillment of the requirements for the Master of Science degree in Bioinformatics at the Rochester Institute of Technology. Matthew Wronkowski April 2007 Committee Members Anne Haake, Ph.D. is professor of information technology and bioinformatics courses at the Rochester Institute of Technology. Dina Newman, Ph.D. is a professor of human genomics and biology courses in the College of Science at the Rochester Institute of Technology. Maureen Ferran, Ph.D. is a professor of biology and virology in the College of Science at the Rochester Institute of Technology. Gary Skuse, Ph.D. is director of the Bioinformatics program at the Rochester Institute of Technology. Copyright Release Form Title of thesis: Conservation of the BRCAI Gene Name of author: Matthew Gary Wronkowski Degree: Masters of Science Program: Bioinformatics College: Science I understand that I must submit a print copy of my thesis to the RIT Archives, per current RIT guidelines for the completion of my degree. -
Mir-17-92 Fine-Tunes MYC Expression and Function to Ensure
ARTICLE Received 31 Mar 2015 | Accepted 22 Sep 2015 | Published 10 Nov 2015 DOI: 10.1038/ncomms9725 OPEN miR-17-92 fine-tunes MYC expression and function to ensure optimal B cell lymphoma growth Marija Mihailovich1, Michael Bremang1, Valeria Spadotto1, Daniele Musiani1, Elena Vitale1, Gabriele Varano2,w, Federico Zambelli3, Francesco M. Mancuso1,w, David A. Cairns1,w, Giulio Pavesi3, Stefano Casola2 & Tiziana Bonaldi1 The synergism between c-MYC and miR-17-19b, a truncated version of the miR-17-92 cluster, is well-documented during tumor initiation. However, little is known about miR-17-19b function in established cancers. Here we investigate the role of miR-17-19b in c-MYC-driven lymphomas by integrating SILAC-based quantitative proteomics, transcriptomics and 30 untranslated region (UTR) analysis upon miR-17-19b overexpression. We identify over one hundred miR-17-19b targets, of which 40% are co-regulated by c-MYC. Downregulation of a new miR-17/20 target, checkpoint kinase 2 (Chek2), increases the recruitment of HuR to c- MYC transcripts, resulting in the inhibition of c-MYC translation and thus interfering with in vivo tumor growth. Hence, in established lymphomas, miR-17-19b fine-tunes c-MYC activity through a tight control of its function and expression, ultimately ensuring cancer cell homeostasis. Our data highlight the plasticity of miRNA function, reflecting changes in the mRNA landscape and 30 UTR shortening at different stages of tumorigenesis. 1 Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, Milan 20139, Italy. 2 Units of Genetics of B cells and lymphomas, IFOM, FIRC Institute of Molecular Oncology Foundation, Milan 20139, Italy. -
Downloaded the “Top Edge” Version
bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 1 Drosophila models of pathogenic copy-number variant genes show global and 2 non-neuronal defects during development 3 Short title: Non-neuronal defects of fly homologs of CNV genes 4 Tanzeen Yusuff1,4, Matthew Jensen1,4, Sneha Yennawar1,4, Lucilla Pizzo1, Siddharth 5 Karthikeyan1, Dagny J. Gould1, Avik Sarker1, Yurika Matsui1,2, Janani Iyer1, Zhi-Chun Lai1,2, 6 and Santhosh Girirajan1,3* 7 8 1. Department of Biochemistry and Molecular Biology, Pennsylvania State University, 9 University Park, PA 16802 10 2. Department of Biology, Pennsylvania State University, University Park, PA 16802 11 3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802 12 4 contributed equally to work 13 14 *Correspondence: 15 Santhosh Girirajan, MBBS, PhD 16 205A Life Sciences Building 17 Pennsylvania State University 18 University Park, PA 16802 19 E-mail: [email protected] 20 Phone: 814-865-0674 21 1 bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 22 ABSTRACT 23 While rare pathogenic copy-number variants (CNVs) are associated with both neuronal and non- 24 neuronal phenotypes, functional studies evaluating these regions have focused on the molecular 25 basis of neuronal defects. -
A Novel De Novo 20Q13.32&Ndash;Q13.33
Journal of Human Genetics (2015) 60, 313–317 & 2015 The Japan Society of Human Genetics All rights reserved 1434-5161/15 www.nature.com/jhg ORIGINAL ARTICLE Anovelde novo 20q13.32–q13.33 deletion in a 2-year-old child with poor growth, feeding difficulties and low bone mass Meena Balasubramanian1, Edward Atack2, Kath Smith2 and Michael James Parker1 Interstitial deletions of the long arm of chromosome 20 are rarely reported in the literature. We report a 2-year-old child with a 2.6 Mb deletion of 20q13.32–q13.33, detected by microarray-based comparative genomic hybridization, who presented with poor growth, feeding difficulties, abnormal subcutaneous fat distribution with the lack of adipose tissue on clinical examination, facial dysmorphism and low bone mass. This report adds to rare publications describing constitutional aberrations of chromosome 20q, and adds further evidence to the fact that deletion of the GNAS complex may not always be associated with an Albright’s hereditary osteodystrophy phenotype as described previously. Journal of Human Genetics (2015) 60, 313–317; doi:10.1038/jhg.2015.22; published online 12 March 2015 INTRODUCTION resuscitation immediately after birth and Apgar scores were 9 and 9 at 1 and Reports of isolated subtelomeric deletions of the long arm of 10 min, respectively, of age. Birth parameters were: weight ~ 1.56 kg (0.4th–2nd chromosome 20 are rare, but a few cases have been reported in the centile), length ~ 40 cm (o0.4th centile) and head circumference ~ 28.2 cm o fi literature over the past 30 years.1–13 Traylor et al.12 provided an ( 0.4th centile). -
YY1/BCCIP Coordinately Regulates P53-Responsive Element (P53re)-Mediated Transactivation of P21waf1/Cip1
International Journal of Molecular Sciences Article YY1/BCCIP Coordinately Regulates P53-Responsive Element (p53RE)-Mediated Transactivation of p21Waf1/Cip1 Yi Sui 1, Tingting Wu 1, Fuqiang Li 2, Fei Wang 1, Yong Cai 1,3,4,* and Jingji Jin 1,3,4,* 1 Department of Biochemistry and Molecular Biology, School of Life Sciences, Jilin University, Changchun 130012, China; [email protected] (Y.S.); [email protected] (T.W.); [email protected] (F.W.) 2 School of Pharmacy, Changchun University of Chinese Medicine, Changchun 130117, China; [email protected] 3 National Engineering Laboratory for AIDS Vaccine, School of Life Sciences, Jilin University, Changchun 130012, China 4 Key Laboratory for Molecular Enzymology and Engineering, the Ministry of Education, Jilin University, Changchun 130012, China * Correspondence: [email protected] (Y.C.); [email protected] (J.J.); Tel.: +86-431-8515-5132 (Y.C.); +86-431-8515-5475 (J.J.) Received: 1 April 2019; Accepted: 26 April 2019; Published: 28 April 2019 Abstract: Transactivation of p21 (cyclin-dependent kinase inhibitor 1A, CDKN1A) is closely related to the recruitment of transcription cofactors at the p53 responsive elements (p53REs) in its promoter region. Human chromatin remodeling enzyme INO80 can be recruited to the p53REs of p21 promoter and negatively regulates p21. As one of the key subunits of the INO80 complex, YY1 has also been confirmed to bind to the p53RE sites of p21 promoter. Importantly, YY1 was recently reported to be bound and stabilized by BCCIP (BRCA2 and CDKN1A-interacting protein). Therefore, we hypothesized that the YY1/BCCIP complex plays an important role in regulating the transactivation of p21. -
Genetic Alterations of Protein Tyrosine Phosphatases in Human Cancers
Oncogene (2015) 34, 3885–3894 © 2015 Macmillan Publishers Limited All rights reserved 0950-9232/15 www.nature.com/onc REVIEW Genetic alterations of protein tyrosine phosphatases in human cancers S Zhao1,2,3, D Sedwick3,4 and Z Wang2,3 Protein tyrosine phosphatases (PTPs) are enzymes that remove phosphate from tyrosine residues in proteins. Recent whole-exome sequencing of human cancer genomes reveals that many PTPs are frequently mutated in a variety of cancers. Among these mutated PTPs, PTP receptor T (PTPRT) appears to be the most frequently mutated PTP in human cancers. Beside PTPN11, which functions as an oncogene in leukemia, genetic and functional studies indicate that most of mutant PTPs are tumor suppressor genes. Identification of the substrates and corresponding kinases of the mutant PTPs may provide novel therapeutic targets for cancers harboring these mutant PTPs. Oncogene (2015) 34, 3885–3894; doi:10.1038/onc.2014.326; published online 29 September 2014 INTRODUCTION tyrosine/threonine-specific phosphatases. (4) Class IV PTPs include Protein tyrosine phosphorylation has a critical role in virtually all four Drosophila Eya homologs (Eya1, Eya2, Eya3 and Eya4), which human cellular processes that are involved in oncogenesis.1 can dephosphorylate both tyrosine and serine residues. Protein tyrosine phosphorylation is coordinately regulated by protein tyrosine kinases (PTKs) and protein tyrosine phosphatases 1 THE THREE-DIMENSIONAL STRUCTURE AND CATALYTIC (PTPs). Although PTKs add phosphate to tyrosine residues in MECHANISM OF PTPS proteins, PTPs remove it. Many PTKs are well-documented oncogenes.1 Recent cancer genomic studies provided compelling The three-dimensional structures of the catalytic domains of evidence that many PTPs function as tumor suppressor genes, classical PTPs (RPTPs and non-RPTPs) are extremely well because a majority of PTP mutations that have been identified in conserved.5 Even the catalytic domain structures of the dual- human cancers are loss-of-function mutations. -
Viewed and Published Immediately Upon Acceptance Cited in Pubmed and Archived on Pubmed Central Yours — You Keep the Copyright
BMC Genomics BioMed Central Research article Open Access Differential gene expression in ADAM10 and mutant ADAM10 transgenic mice Claudia Prinzen1, Dietrich Trümbach2, Wolfgang Wurst2, Kristina Endres1, Rolf Postina1 and Falk Fahrenholz*1 Address: 1Johannes Gutenberg-University, Institute of Biochemistry, Mainz, Johann-Joachim-Becherweg 30, 55128 Mainz, Germany and 2Helmholtz Zentrum München – German Research Center for Environmental Health, Institute for Developmental Genetics, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany Email: Claudia Prinzen - [email protected]; Dietrich Trümbach - [email protected]; Wolfgang Wurst - [email protected]; Kristina Endres - [email protected]; Rolf Postina - [email protected]; Falk Fahrenholz* - [email protected] * Corresponding author Published: 5 February 2009 Received: 19 June 2008 Accepted: 5 February 2009 BMC Genomics 2009, 10:66 doi:10.1186/1471-2164-10-66 This article is available from: http://www.biomedcentral.com/1471-2164/10/66 © 2009 Prinzen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: In a transgenic mouse model of Alzheimer disease (AD), cleavage of the amyloid precursor protein (APP) by the α-secretase ADAM10 prevented amyloid plaque formation, and alleviated cognitive deficits. Furthermore, ADAM10 overexpression increased the cortical synaptogenesis. These results suggest that upregulation of ADAM10 in the brain has beneficial effects on AD pathology. Results: To assess the influence of ADAM10 on the gene expression profile in the brain, we performed a microarray analysis using RNA isolated from brains of five months old mice overexpressing either the α-secretase ADAM10, or a dominant-negative mutant (dn) of this enzyme.