Mutant Screen for Reproduction Unveils Depression-Associated Piccolo's Control Over Reproductive Behavior
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Association Analyses of Known Genetic Variants with Gene
ASSOCIATION ANALYSES OF KNOWN GENETIC VARIANTS WITH GENE EXPRESSION IN BRAIN by Viktoriya Strumba A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Bioinformatics) in The University of Michigan 2009 Doctoral Committee: Professor Margit Burmeister, Chair Professor Huda Akil Professor Brian D. Athey Assistant Professor Zhaohui S. Qin Research Statistician Thomas Blackwell To Sam and Valentina Dmitriy and Elizabeth ii ACKNOWLEDGEMENTS I would like to thank my advisor Professor Margit Burmeister, who tirelessly guided me though seemingly impassable corridors of graduate work. Throughout my thesis writing period she provided sound advice, encouragement and inspiration. Leading by example, her enthusiasm and dedication have been instrumental in my path to becoming a better scientist. I also would like to thank my co-advisor Tom Blackwell. His careful prodding always kept me on my toes and looking for answers, which taught me the depth of careful statistical analysis. His diligence and dedication have been irreplaceable in most difficult of projects. I also would like to thank my other committee members: Huda Akil, Brian Athey and Steve Qin as well as David States. You did not make it easy for me, but I thank you for believing and not giving up. Huda’s eloquence in every subject matter she explained have been particularly inspiring, while both Huda’s and Brian’s valuable advice made the completion of this dissertation possible. I would also like to thank all the members of the Burmeister lab, both past and present: Sandra Villafuerte, Kristine Ito, Cindy Schoen, Karen Majczenko, Ellen Schmidt, Randi Burns, Gang Su, Nan Xiang and Ana Progovac. -
Thyroid Hormone Influences Brain Gene Expression Programs And
Molecular Psychiatry https://doi.org/10.1038/s41380-018-0281-4 ARTICLE Thyroid hormone influences brain gene expression programs and behaviors in later generations by altering germ line epigenetic information 1 2,3 1 1 1 M. Elena Martinez ● Christine W. Duarte ● J. Patrizia Stohn ● Aldona Karaczyn ● Zhaofei Wu ● 1 1,3,4 Victoria E DeMambro ● Arturo Hernandez Received: 30 March 2018 / Revised: 16 August 2018 / Accepted: 26 September 2018 © Springer Nature Limited 2018 Abstract Genetic factors do not fully account for the relatively high heritability of neurodevelopmental conditions, suggesting that non-genetic heritable factors contribute to their etiology. To evaluate the potential contribution of aberrant thyroid hormone status to the epigenetic inheritance of neurological phenotypes, we examined genetically normal F2 generation descendants of mice that were developmentally overexposed to thyroid hormone due to a Dio3 mutation. Hypothalamic gene expression profiling in postnatal day 15 F2 descendants on the paternal lineage of ancestral male and female T3-overexposed mice 1234567890();,: 1234567890();,: revealed, respectively, 1089 and 1549 differentially expressed genes. A large number of them, 675 genes, were common to both sets, suggesting comparable epigenetic effects of thyroid hormone on both the male and female ancestral germ lines. Oligodendrocyte- and neuron-specific genes were strongly overrepresented among genes showing, respectively, increased and decreased expression. Altered gene expression extended to other brain regions and was associated in adulthood with decreased anxiety-like behavior, increased marble burying and reduced physical activity. The sperm of T3-overexposed male ancestors revealed significant hypomethylation of CpG islands associated with the promoters of genes involved in the early development of the central nervous system. -
Analyses of Inter-Individual Variations of Sperm DNA Methylation and Their Potential Implications in Cattle Shuli Liu1,2†, Lingzhao Fang2,3,4†, Yang Zhou5, Daniel J.A
Liu et al. BMC Genomics (2019) 20:888 https://doi.org/10.1186/s12864-019-6228-6 RESEARCH ARTICLE Open Access Analyses of inter-individual variations of sperm DNA methylation and their potential implications in cattle Shuli Liu1,2†, Lingzhao Fang2,3,4†, Yang Zhou5, Daniel J.A. Santos3, Ruidong Xiang6,7, Hans D. Daetwyler7,8, Amanda J. Chamberlain7, John B. Cole2, Cong-jun Li2, Ying Yu1,LiMa3, Shengli Zhang1* and George E. Liu2* Abstract Background: DNA methylation has been shown to be involved in many biological processes, including X chromosome inactivation in females, paternal genomic imprinting, and others. Results: Based on the correlation patterns of methylation levels of neighboring CpG sites among 28 sperm whole genome bisulfite sequencing (WGBS) data (486 × coverage), we obtained 31,272 methylation haplotype blocks (MHBs). Among them, we defined conserved methylated regions (CMRs), variably methylated regions (VMRs) and highly variably methylated regions (HVMRs) among individuals, and showed that HVMRs might play roles in transcriptional regulation and function in complex traits variation and adaptive evolution by integrating evidence from traditional and molecular quantitative trait loci (QTL), and selection signatures. Using a weighted correlation network analysis (WGCNA), we also detected a co-regulated module of HVMRs that was significantly associated with reproduction traits, and enriched for glycosyltransferase genes, which play critical roles in spermatogenesis and fertilization. Additionally, we identified 46 VMRs significantly associated with reproduction traits, nine of which were regulated by cis-SNPs, implying the possible intrinsic relationships among genomic variations, DNA methylation, and phenotypes. These significant VMRs were co-localized (± 10 kb) with genes related to sperm motility and reproduction, including ZFP36L1, CRISP2 and HGF. -
Genetic Variants in WNT2B and BTRC Predict Melanoma Survival
ACCEPTED MANUSCRIPT Genetic Variants in WNT2B and BTRC Predict Melanoma Survival Qiong Shi1, 2, 3, 9, Hongliang Liu2, 3, 9, Peng Han2, 3, 4, 9, Chunying Li1, Yanru Wang2, 3, Wenting Wu5, Dakai Zhu6, Christopher I. Amos6, Shenying Fang7, Jeffrey E. Lee7, Jiali Han5, 8* and Qingyi Wei2, 3* 1Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi’an, Shaanxi 710032, China; 2Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA, 3Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA, 4Department of Otorhinolaryngology Head and Neck Surgery, First Affiliated Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, Shaanxi 710061, China; 5Department of Epidemiology, Fairbanks School of Public Health, Indiana University Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis,MANUSCRIPT IN 46202, USA 6Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA; 7Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, USA. 8Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA 9These authors contributed equally to this work. ACCEPTED *Correspondence: Qingyi Wei, M.D., Ph.D., Duke Cancer Institute, Duke University Medical Center and Department of Medicine, Duke School of Medicine, 905 S LaSalle Street, Durham, NC 27710, USA, Tel.: (919) 660-0562, E-mail: [email protected] and Jiali Han, M.D., Ph.D., 1 _________________________________________________________________________________ This is the author's manuscript of the article published in final edited form as: Shi, Q., Liu, H., Han, P., Li, C., Wang, Y., Wu, W., … Wei, Q. -
Likely Pathogenic Variants in One Third of Non-Syndromic Discontinuous Cleft Lip and Palate Patients
G C A T T A C G G C A T genes Article Likely Pathogenic Variants in One Third of Non-Syndromic Discontinuous Cleft Lip and Palate Patients Bénédicte Demeer 1,2,3,4 , Nicole Revencu 1,5, Raphael Helaers 1 , Cica Gbaguidi 6, Stéphanie Dakpe 3,4,6 , Geneviève François 7, Bernard Devauchelle 3,4,6,Bénédicte Bayet 8 and Miikka Vikkula 1,* 1 Human Molecular Genetics, de Duve Institute, University of Louvain, 1200 Brussels, Belgium; [email protected] (B.D.); [email protected] (N.R.); [email protected] (R.H.) 2 Center for Human Genetics, CLAD Nord de France, CHU Amiens-Picardie, 80054 Amiens, France 3 Université Picardie Jules Verne, EA CHIMERE, EA 7516, 80054 Amiens, France; [email protected] (S.D.); [email protected] (B.D.) 4 Facing Faces Institute, 80054 Amiens, France 5 Center for Human Genetics, Cliniques universitaires Saint-Luc, University of Louvain, 1200 Brussels, Belgium 6 Department of Maxillofacial Surgery and Stomatology, Centre de Compétence Fentes et Malformations Faciales (MAFACE), CHU Amiens-Picardie, 80054 Amiens, France; [email protected] 7 Department of Pediatrics, Cliniques Universitaires Saint-Luc, University of Louvain, 1200 Brussels, Belgium; [email protected] 8 Centre Labiopalatin, Division of Plastic Surgery, Cliniques Universitaires Saint-Luc, University of Louvain, 1200 Brussels, Belgium; [email protected] * Correspondence: [email protected]; Tel.: +32-2-764-7490 Received: 6 September 2019; Accepted: 19 October 2019; Published: 22 October 2019 Abstract: Oral clefts are composed of cleft of the lip, cleft of the lip and palate, or cleft of the palate, and they are associated with a wide range of expression and severity. -
Chr21 Protein-Protein Interactions: Enrichment in Products Involved in Intellectual Disabilities, Autism and Late Onset Alzheimer Disease
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.11.872606; this version posted December 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Chr21 protein-protein interactions: enrichment in products involved in intellectual disabilities, autism and Late Onset Alzheimer Disease Julia Viard1,2*, Yann Loe-Mie1*, Rachel Daudin1, Malik Khelfaoui1, Christine Plancon2, Anne Boland2, Francisco Tejedor3, Richard L. Huganir4, Eunjoon Kim5, Makoto Kinoshita6, Guofa Liu7, Volker Haucke8, Thomas Moncion9, Eugene Yu10, Valérie Hindie9, Henri Bléhaut11, Clotilde Mircher12, Yann Herault13,14,15,16,17, Jean-François Deleuze2, Jean- Christophe Rain9, Michel Simonneau1, 18, 19, 20** and Aude-Marie Lepagnol- Bestel1** 1 Centre Psychiatrie & Neurosciences, INSERM U894, 75014 Paris, France 2 Laboratoire de génomique fonctionnelle, CNG, CEA, Evry 3 Instituto de Neurociencias CSIC-UMH, Universidad Miguel Hernandez-Campus de San Juan 03550 San Juan (Alicante), Spain 4 Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA 5 Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon 34141, Republic of Korea 6 Department of Molecular Biology, Division of Biological Science, Nagoya University Graduate School of Science, Furo, Chikusa, Nagoya, Japan 7 Department of Biological Sciences, University of Toledo, Toledo, OH, 43606, USA 8 Leibniz Forschungsinstitut für Molekulare Pharmakologie -
Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins
International Journal of Molecular Sciences Article Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins M. Quadir Siddiqui 1,† , Maulik D. Badmalia 1,† and Trushar R. Patel 1,2,3,* 1 Alberta RNA Research and Training Institute, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada; [email protected] (M.Q.S.); [email protected] (M.D.B.) 2 Department of Microbiology, Immunology and Infectious Disease, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive, Calgary, AB T2N 4N1, Canada 3 Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada * Correspondence: [email protected] † These authors contributed equally to the work. Abstract: Members of the human Zyxin family are LIM domain-containing proteins that perform critical cellular functions and are indispensable for cellular integrity. Despite their importance, not much is known about their structure, functions, interactions and dynamics. To provide insights into these, we used a set of in-silico tools and databases and analyzed their amino acid sequence, phylogeny, post-translational modifications, structure-dynamics, molecular interactions, and func- tions. Our analysis revealed that zyxin members are ohnologs. Presence of a conserved nuclear export signal composed of LxxLxL/LxxxLxL consensus sequence, as well as a possible nuclear localization signal, suggesting that Zyxin family members may have nuclear and cytoplasmic roles. The molecular modeling and structural analysis indicated that Zyxin family LIM domains share Citation: Siddiqui, M.Q.; Badmalia, similarities with transcriptional regulators and have positively charged electrostatic patches, which M.D.; Patel, T.R. -
Specificity Landscapes Unmask Submaximal Binding Site Preferences of Transcription Factors
Specificity landscapes unmask submaximal binding site preferences of transcription factors Devesh Bhimsariaa,b,1, José A. Rodríguez-Martíneza,2, Junkun Panc, Daniel Rostonc, Elif Nihal Korkmazc, Qiang Cuic,3, Parameswaran Ramanathanb, and Aseem Z. Ansaria,d,4 aDepartment of Biochemistry, University of Wisconsin–Madison, Madison, WI 53706; bDepartment of Electrical and Computer Engineering, University of Wisconsin–Madison, Madison, WI 53706; cDepartment of Chemistry, University of Wisconsin–Madison, Madison, WI 53706; and dThe Genome Center of Wisconsin, University of Wisconsin–Madison, Madison, WI 53706 Edited by Michael Levine, Princeton University, Princeton, NJ, and approved September 24, 2018 (received for review July 13, 2018) We have developed Differential Specificity and Energy Landscape Here, we report the development of Differential Specificity (DiSEL) analysis to comprehensively compare DNA–protein inter- and Energy Landscapes (DiSEL) to compare experimental actomes (DPIs) obtained by high-throughput experimental plat- platforms, computational methods, and interactomes of TFs, forms and cutting edge computational methods. While high-affinity especially those factors that bind identical consensus motifs. Our DNA binding sites are identified by most methods, DiSEL uncovered results reveal that (i) most high-throughput experimental plat- nuanced sequence preferences displayed by homologous transcription forms reliably identify high-affinity motifs but yield less reliable factors. Pairwise analysis of 726 DPIs uncovered homolog-specific dif- information on submaximal sites; (ii) with few exceptions, com- ferences at moderate- to low-affinity binding sites (submaximal sites). putational methods model DPIs with a focus on high-affinity DiSEL analysis of variants of 41 transcription factors revealed that sites; (iii) submaximal sites improve the annotation of biologi- many disease-causing mutations result in allele-specific changes in cally relevant binding sites across genomes; (iv) among members binding site preferences. -
A Multistep Bioinformatic Approach Detects Putative Regulatory
BMC Bioinformatics BioMed Central Research article Open Access A multistep bioinformatic approach detects putative regulatory elements in gene promoters Stefania Bortoluzzi1, Alessandro Coppe1, Andrea Bisognin1, Cinzia Pizzi2 and Gian Antonio Danieli*1 Address: 1Department of Biology, University of Padova – Via Bassi 58/B, 35131, Padova, Italy and 2Department of Information Engineering, University of Padova – Via Gradenigo 6/B, 35131, Padova, Italy Email: Stefania Bortoluzzi - [email protected]; Alessandro Coppe - [email protected]; Andrea Bisognin - [email protected]; Cinzia Pizzi - [email protected]; Gian Antonio Danieli* - [email protected] * Corresponding author Published: 18 May 2005 Received: 12 November 2004 Accepted: 18 May 2005 BMC Bioinformatics 2005, 6:121 doi:10.1186/1471-2105-6-121 This article is available from: http://www.biomedcentral.com/1471-2105/6/121 © 2005 Bortoluzzi 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: Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge for definition of a sheltered search space and of appropriate search parameters, in order to develop a method for identification of a tractable number of sequence motifs. Results: Novel software (COOP) was developed for extraction of sequence motifs, based on clustering of exact or approximate patterns according to the frequency of their overlapping occurrences. -
Substrate Trapping Proteomics Reveals Targets of the Trcp2
Substrate Trapping Proteomics Reveals Targets of the TrCP2/FBXW11 Ubiquitin Ligase Tai Young Kim,a,b* Priscila F. Siesser,a,b Kent L. Rossman,b,c Dennis Goldfarb,a,d Kathryn Mackinnon,a,b Feng Yan,a,b XianHua Yi,e Michael J. MacCoss,e Randall T. Moon,f Channing J. Der,b,c Michael B. Majora,b,d Department of Cell Biology and Physiology,a Lineberger Comprehensive Cancer Center,b Department of Pharmacology,c and Department of Computer Science,d University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Department of Genome Sciencese and Department of Pharmacology and HHMI,f University of Washington, Seattle, Washington, USA Defining the full complement of substrates for each ubiquitin ligase remains an important challenge. Improvements in mass spectrometry instrumentation and computation and in protein biochemistry methods have resulted in several new methods for ubiquitin ligase substrate identification. Here we used the parallel adapter capture (PAC) proteomics approach to study TrCP2/FBXW11, a substrate adaptor for the SKP1–CUL1–F-box (SCF) E3 ubiquitin ligase complex. The processivity of the ubiquitylation reaction necessitates transient physical interactions between FBXW11 and its substrates, thus making biochemi- cal purification of FBXW11-bound substrates difficult. Using the PAC-based approach, we inhibited the proteasome to “trap” ubiquitylated substrates on the SCFFBXW11 E3 complex. Comparative mass spectrometry analysis of immunopurified FBXW11 protein complexes before and after proteasome inhibition revealed 21 known and 23 putatively novel substrates. In focused studies, we found that SCFFBXW11 bound, polyubiquitylated, and destabilized RAPGEF2, a guanine nucleotide exchange factor that activates the small GTPase RAP1. -
Redefining the Specificity of Phosphoinositide-Binding by Human
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.20.163253; this version posted June 21, 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-NC 4.0 International license. Redefining the specificity of phosphoinositide-binding by human PH domain-containing proteins Nilmani Singh1†, Adriana Reyes-Ordoñez1†, Michael A. Compagnone1, Jesus F. Moreno Castillo1, Benjamin J. Leslie2, Taekjip Ha2,3,4,5, Jie Chen1* 1Department of Cell & Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801; 2Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205; 3Department of Biophysics, Johns Hopkins University, Baltimore, MD 21218; 4Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205; 5Howard Hughes Medical Institute, Baltimore, MD 21205, USA †These authors contributed equally to this work. *Correspondence: [email protected]. bioRxiv preprint doi: https://doi.org/10.1101/2020.06.20.163253; this version posted June 21, 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-NC 4.0 International license. ABSTRACT Pleckstrin homology (PH) domains are presumed to bind phosphoinositides (PIPs), but specific interaction with and regulation by PIPs for most PH domain-containing proteins are unclear. Here we employed a single-molecule pulldown assay to study interactions of lipid vesicles with full-length proteins in mammalian whole cell lysates. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like,