Expression, Purification and Molecular Analysis of the Human ZNF706
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Causal Varian Discovery in Familial Congenital Heart Disease - an Integrative -Omic Approach Wendy Demos Marquette University
Marquette University e-Publications@Marquette Master's Theses (2009 -) Dissertations, Theses, and Professional Projects Causal Varian discovery in Familial Congenital Heart Disease - An Integrative -Omic Approach Wendy Demos Marquette University Recommended Citation Demos, Wendy, "Causal Varian discovery in Familial Congenital Heart Disease - An Integrative -Omic Approach" (2012). Master's Theses (2009 -). 140. https://epublications.marquette.edu/theses_open/140 CAUSAL VARIANT DISCOVERY IN FAMILIAL CONGENITAL HEART DISEASE – AN INTEGRATIVE –OMIC APPROACH by Wendy M. Demos A Thesis submitted to the Faculty of the Graduate School, Marquette University, in Partial Fulfillment of the Requirements for the Degree of Master of Science Milwaukee, Wisconsin May 2012 ABSTRACT CAUSAL VARIANT DISCOVERY IN FAMILIAL CONGENITAL HEART DISEASE – AN INTEGRATIVE –OMIC APPROACH Wendy M. Demos Marquette University, 2012 Background : Hypoplastic left heart syndrome (HLHS) is a congenital heart defect that leads to neonatal death or compromised quality of life for those affected and their families. This syndrome requires extensive medical intervention for the affected to survive. It is characterized by significant underdevelopment or non-existence of the components of the left heart and the aorta, including the left ventricular cavity and mass. There are many factors ranging from genetics to environmental relationships hypothesized to lead to the development of the syndrome, including recent studies suggesting a link between hearing impairment and congenital heart defects (CHD). Although broadly characterized those factors remain poorly understood. The goal of this project is to systematically utilize bioinformatics tools to determine the relationships of novel mutations found in exome sequencing to a familial congenital heart defect. Methods A systematic genomic and proteomic approach involving exome sequencing, pathway analysis, and protein modeling was implemented to examine exome sequencing data of a patient with HLHS. -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
Rabbit Anti-ZHX1 Antibody-SL19163R
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-ZHX1 antibody SL19163R Product Name: ZHX1 Chinese Name: 锌指及同源结构域蛋白1抗体 ZHX 1; ZHX1; ZHX1_HUMAN; Zinc finger and homeodomain protein 1; Zinc fingers Alias: and homeobox 1; Zinc fingers and homeoboxes 1; Zinc fingers and homeoboxes protein 1. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Cow,Horse,Sheep, ELISA=1:500-1000IHC-P=1:400-800IHC-F=1:400-800ICC=1:100-500IF=1:100- 500(Paraffin sections need antigen repair) Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 98kDa Cellular localization: The nucleus Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLHwww.sunlongbiotech.com conjugated synthetic peptide derived from human ZHX1:551-650/873 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. PubMed: PubMed The members of the zinc fingers and homeoboxes gene family are nuclear homodimeric transcriptional repressors that interact with the A subunit of nuclear factor-Y (NF-YA) Product Detail: and contain two C2H2-type zinc fingers and five homeobox DNA-binding domains. -
The Interactome of KRAB Zinc Finger Proteins Reveals the Evolutionary History of Their Functional Diversification
Resource The interactome of KRAB zinc finger proteins reveals the evolutionary history of their functional diversification Pierre-Yves Helleboid1,†, Moritz Heusel2,†, Julien Duc1, Cécile Piot1, Christian W Thorball1, Andrea Coluccio1, Julien Pontis1, Michaël Imbeault1, Priscilla Turelli1, Ruedi Aebersold2,3,* & Didier Trono1,** Abstract years ago (MYA) (Imbeault et al, 2017). Their products harbor an N-terminal KRAB (Kru¨ppel-associated box) domain related to that of Krüppel-associated box (KRAB)-containing zinc finger proteins Meisetz (a.k.a. PRDM9), a protein that originated prior to the diver- (KZFPs) are encoded in the hundreds by the genomes of higher gence of chordates and echinoderms, and a C-terminal array of zinc vertebrates, and many act with the heterochromatin-inducing fingers (ZNF) with sequence-specific DNA-binding potential (Urru- KAP1 as repressors of transposable elements (TEs) during early tia, 2003; Birtle & Ponting, 2006; Imbeault et al, 2017). KZFP genes embryogenesis. Yet, their widespread expression in adult tissues multiplied by gene and segment duplication to count today more and enrichment at other genetic loci indicate additional roles. than 350 and 700 representatives in the human and mouse Here, we characterized the protein interactome of 101 of the ~350 genomes, respectively (Urrutia, 2003; Kauzlaric et al, 2017). A human KZFPs. Consistent with their targeting of TEs, most KZFPs majority of human KZFPs including all primate-restricted family conserved up to placental mammals essentially recruit KAP1 and members target sequences derived from TEs, that is, DNA trans- associated effectors. In contrast, a subset of more ancient KZFPs posons, ERVs (endogenous retroviruses), LINEs, SINEs (long and rather interacts with factors related to functions such as genome short interspersed nuclear elements, respectively), or SVAs (SINE- architecture or RNA processing. -
Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1
[CANCER RESEARCH 63, 1382–1388, March 15, 2003] Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1 Ana I. Jimenez, Paloma Fernandez, Orlando Dominguez, Ana Dopazo, and Montserrat Sanchez-Cespedes2 Molecular Pathology Program [A. I. J., P. F., M. S-C.], Genomics Unit [O. D.], and Microarray Analysis Unit [A. D.], Spanish National Cancer Center, 28029 Madrid, Spain ABSTRACT the cell cycle in G1 (8, 9). However, the intrinsic mechanism by which LKB1 activity is regulated in cells and how it leads to the suppression Germ-line mutations in LKB1 gene cause the Peutz-Jeghers syndrome of cell growth is still unknown. It has been proposed that growth (PJS), a genetic disease with increased risk of malignancies. Recently, suppression by LKB1 is mediated through p21 in a p53-dependent LKB1-inactivating mutations have been identified in one-third of sporadic lung adenocarcinomas, indicating that LKB1 gene inactivation is critical in mechanism (7). In addition, it has been observed that LKB1 binds to tumors other than those of the PJS syndrome. However, the in vivo brahma-related gene 1 protein (BRG1) and this interaction is required substrates of LKB1 and its role in cancer development have not been for BRG1-induced growth arrest (10). Similar to what happens in the completely elucidated. Here we show that overexpression of wild-type PJS, Lkb1 heterozygous knockout mice show gastrointestinal hamar- LKB1 protein in A549 lung adenocarcinomas cells leads to cell-growth tomatous polyposis and frequent hepatocellular carcinomas (11, 12). suppression. To examine changes in gene expression profiles subsequent to Interestingly, the hamartomas, but not the malignant tumors, arising in exogenous wild-type LKB1 in A549 cells, we used cDNA microarrays. -
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. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Role of the PTPRD Locus and Limited Pleiotropy with Other Neuropathologies
CORE Metadata, citation and similar papers at core.ac.uk Provided by Harvard University - DASH Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Chibnik, L. B., C. C. White, S. Mukherjee, T. Raj, L. Yu, E. B. Larson, T. J. Montine, et al. 2017. “Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies.” Molecular psychiatry :10.1038/mp.2017.20. doi:10.1038/mp.2017.20. http://dx.doi.org/10.1038/mp.2017.20. Published Version doi:10.1038/mp.2017.20 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:34492045 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Mol Psychiatry Manuscript Author . Author Manuscript Author manuscript; available in PMC 2017 September 22. Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies Lori B Chibnik, PhD, MPH1,2,3,4, Charles C White, PhD1,3, Shubhabrata Mukherjee, PhD5, Towfique Raj, PhD1,3, Lei Yu, PhD6, Eric B. Larson, MD, MPH7, Thomas J. Montine, MD, PhD8, C. Dirk Keene, MD, PhD8, Joshua Sonnen, MD9, Julie A. Schneider, MD6, Paul K. Crane, MD, MPH5, Joshua M. -
Genetic Interactions Between ANLN and KDR Are Prognostic for Breast Cancer Survival
ONCOLOGY REPORTS 42: 2255-2266, 2019 Genetic interactions between ANLN and KDR are prognostic for breast cancer survival XIAOFENG DAI1*, XIAO CHEN2*, OLIVIER HAKIZIMANA2 and YI MEI2 1Wuxi School of Medicine, 2School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, P.R. China Received April 3, 2019; Accepted August 7, 2019 DOI: 10.3892/or.2019.7332 Abstract. Single nucleotide polymorphisms (SNPs) are the of ~627,000 annually estimated in 2018 (2). Uncontrolled most common genetic variation in mammalian cells with proliferative growth and angiogenesis are two basic cancer prognostic potential. Anillin-actin binding protein (ANLN) hallmarks governing the critical transitions towards malig- has been identified as being involved in PI3K/PTEN signaling, nancy during carcinogenesis (3). PI3K/PTEN signaling, which is critical in cell life/death control, and kinase insert frequently altered in breast carcinoma (4), confers a survival domain receptor (KDR) encodes a key receptor mediating advantage to tumor cells (5). Anillin, encoded by anillin the cancer angiogenesis/metastasis switch. Knowledge of actin-binding protein (ANLN), is an actin-binding protein, the intrinsic connections between PI3K/PTEN and KDR which has been identified as being involved in the PI3K/PTEN signaling, which represent two critical transitions in carcino- pathway (6,7). It is an F‑actin binding protein, which maintains genesis, led the present study to investigate the effects of the podocyte cytoskeletal dynamics, cell motility and signaling potential synergy between ANLN and KDR on breast cancer through its interaction with CD2-associated protein, which outcome and identify relevant SNPs driving such a synergy stimulates the phosphorylation of AKT at serine 473 (6,8). -
Bioinformatic Analysis of Autism Positional Candidate Genes Using Biological Databases and Computational Gene Network Prediction
Genes, Brain and Behavior (2003) 2: 303–320 Copyright # Blackwell Munksgaard 2003 Bioinformatic analysis of autism positional candidate genes using biological databases and computational gene network prediction A. L. Yonan†,‡, A. A. Palmer†, K. C. Smith†, inform studies of autism, and to illustrate and explore I. Feldman†,††, H. K. Lee†, J. M. Yonan§, the increasing potential of bioinformatic approaches as † †,†† *,†,‡, S. G. Fischer , P. Pavlidis and T. C. Gilliam { a compliment to linkage analysis. Keywords: 17q, AGRE sample, autism, association studies, †Columbia Genome Center, Columbia University, New York, bioinformatics, candidate genes ‡ Department of Genetics and Development, Columbia University, Received 30 June 2003, revised 20 August 2003, accepted New York, for publication 21 August 2003 ¶Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, §Division of Molecular Genetics, Departments of Pediatrics and Medicine, Columbia University, New York, Autism is a pervasive neurodevelopmental disorder that ††Department of Biomedical Informatics, Columbia University, severely impairs development of normal social and emotional New York, USA interactions and related forms of communication. Disease *Corresponding author: T. C. Gilliam, Columbia Genome Center, symptoms characteristically include unusually restricted and 1150 St. Nicholas Avenue, Room 508, New York, NY 10032, USA. E-mail: [email protected] stereotyped patterns of behaviors and interests. Autism describes the most severe manifestation -
Quantitative SUMO Proteomics Reveals the Modulation of Several
www.nature.com/scientificreports OPEN Quantitative SUMO proteomics reveals the modulation of several PML nuclear body associated Received: 10 October 2017 Accepted: 28 March 2018 proteins and an anti-senescence Published: xx xx xxxx function of UBC9 Francis P. McManus1, Véronique Bourdeau2, Mariana Acevedo2, Stéphane Lopes-Paciencia2, Lian Mignacca2, Frédéric Lamoliatte1,3, John W. Rojas Pino2, Gerardo Ferbeyre2 & Pierre Thibault1,3 Several regulators of SUMOylation have been previously linked to senescence but most targets of this modifcation in senescent cells remain unidentifed. Using a two-step purifcation of a modifed SUMO3, we profled the SUMO proteome of senescent cells in a site-specifc manner. We identifed 25 SUMO sites on 23 proteins that were signifcantly regulated during senescence. Of note, most of these proteins were PML nuclear body (PML-NB) associated, which correlates with the increased number and size of PML-NBs observed in senescent cells. Interestingly, the sole SUMO E2 enzyme, UBC9, was more SUMOylated during senescence on its Lys-49. Functional studies of a UBC9 mutant at Lys-49 showed a decreased association to PML-NBs and the loss of UBC9’s ability to delay senescence. We thus propose both pro- and anti-senescence functions of protein SUMOylation. Many cellular mechanisms of defense have evolved to reduce the onset of tumors and potential cancer develop- ment. One such mechanism is cellular senescence where cells undergo cell cycle arrest in response to various stressors1,2. Multiple triggers for the onset of senescence have been documented. While replicative senescence is primarily caused in response to telomere shortening3,4, senescence can also be triggered early by a number of exogenous factors including DNA damage, elevated levels of reactive oxygen species (ROS), high cytokine signa- ling, and constitutively-active oncogenes (such as H-RAS-G12V)5,6. -
Research Article Clinic-Genomic Association Mining for Colorectal Cancer Using Publicly Available Datasets
Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 170289, 10 pages http://dx.doi.org/10.1155/2014/170289 Research Article Clinic-Genomic Association Mining for Colorectal Cancer Using Publicly Available Datasets Fang Liu,1 Yaning Feng,1 Zhenye Li,2 Chao Pan,1 Yuncong Su,1 Rui Yang,1 Liying Song,1 Huilong Duan,1 and Ning Deng1 1 Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, China 2 General Hospital of Ningxia Medical University, Yinchuan 750004, China Correspondence should be addressed to Ning Deng; [email protected] Received 30 March 2014; Accepted 12 May 2014; Published 2 June 2014 Academic Editor: Degui Zhi Copyright © 2014 Fang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In recent years, a growing number of researchers began to focus on how to establish associations between clinical and genomic data. However, up to now, there is lack of research mining clinic-genomic associations by comprehensively analysing available gene expression data for a single disease. Colorectal cancer is one of the malignant tumours. A number of genetic syndromes have been proven to be associated with colorectal cancer. This paper presents our research on mining clinic-genomic associations for colorectal cancer under biomedical big data environment. The proposed method is engineered with multiple technologies, including extracting clinical concepts using the unified medical language system (UMLS), extracting genes through the literature mining, and mining clinic-genomic associations through statistical analysis.