Nucleoporin-Mediated Regulation of Cell Identity Genes
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Essential Genes and Their Role in Autism Spectrum Disorder
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Essential Genes And Their Role In Autism Spectrum Disorder Xiao Ji University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, and the Genetics Commons Recommended Citation Ji, Xiao, "Essential Genes And Their Role In Autism Spectrum Disorder" (2017). Publicly Accessible Penn Dissertations. 2369. https://repository.upenn.edu/edissertations/2369 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2369 For more information, please contact [email protected]. Essential Genes And Their Role In Autism Spectrum Disorder Abstract Essential genes (EGs) play central roles in fundamental cellular processes and are required for the survival of an organism. EGs are enriched for human disease genes and are under strong purifying selection. This intolerance to deleterious mutations, commonly observed haploinsufficiency and the importance of EGs in pre- and postnatal development suggests a possible cumulative effect of deleterious variants in EGs on complex neurodevelopmental disorders. Autism spectrum disorder (ASD) is a heterogeneous, highly heritable neurodevelopmental syndrome characterized by impaired social interaction, communication and repetitive behavior. More and more genetic evidence points to a polygenic model of ASD and it is estimated that hundreds of genes contribute to ASD. The central question addressed in this dissertation is whether genes with a strong effect on survival and fitness (i.e. EGs) play a specific oler in ASD risk. I compiled a comprehensive catalog of 3,915 mammalian EGs by combining human orthologs of lethal genes in knockout mice and genes responsible for cell-based essentiality. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Deciphering the Molecular Profile of Plaques, Memory Decline And
ORIGINAL RESEARCH ARTICLE published: 16 April 2014 AGING NEUROSCIENCE doi: 10.3389/fnagi.2014.00075 Deciphering the molecular profile of plaques, memory decline and neuron loss in two mouse models for Alzheimer’s disease by deep sequencing Yvonne Bouter 1†,Tim Kacprowski 2,3†, Robert Weissmann4, Katharina Dietrich1, Henning Borgers 1, Andreas Brauß1, Christian Sperling 4, Oliver Wirths 1, Mario Albrecht 2,5, Lars R. Jensen4, Andreas W. Kuss 4* andThomas A. Bayer 1* 1 Division of Molecular Psychiatry, Georg-August-University Goettingen, University Medicine Goettingen, Goettingen, Germany 2 Department of Bioinformatics, Institute of Biometrics and Medical Informatics, University Medicine Greifswald, Greifswald, Germany 3 Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany 4 Human Molecular Genetics, Department for Human Genetics of the Institute for Genetics and Functional Genomics, Institute for Human Genetics, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany 5 Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria Edited by: One of the central research questions on the etiology of Alzheimer’s disease (AD) is the Isidro Ferrer, University of Barcelona, elucidation of the molecular signatures triggered by the amyloid cascade of pathological Spain events. Next-generation sequencing allows the identification of genes involved in disease Reviewed by: Isidro Ferrer, University of Barcelona, processes in an unbiased manner. We have combined this technique with the analysis of Spain two AD mouse models: (1) The 5XFAD model develops early plaque formation, intraneu- Dietmar R. Thal, University of Ulm, ronal Ab aggregation, neuron loss, and behavioral deficits. (2)TheTg4–42 model expresses Germany N-truncated Ab4–42 and develops neuron loss and behavioral deficits albeit without plaque *Correspondence: formation. -
Network of Micrornas-Mrnas Interactions in Pancreatic Cancer
Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 534821, 8 pages http://dx.doi.org/10.1155/2014/534821 Research Article Network of microRNAs-mRNAs Interactions in Pancreatic Cancer Elnaz Naderi,1 Mehdi Mostafaei,2 Akram Pourshams,1 and Ashraf Mohamadkhani1 1 Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran 2 Biotechnology Engineering, Islamic Azad University,Tehran North Branch, Tehran, Iran Correspondence should be addressed to Ashraf Mohamadkhani; [email protected] Received 5 February 2014; Revised 13 April 2014; Accepted 13 April 2014; Published 7 May 2014 Academic Editor: FangXiang Wu Copyright © 2014 Elnaz Naderi 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. Background. MicroRNAs are small RNA molecules that regulate the expression of certain genes through interaction with mRNA targets and are mainly involved in human cancer. This study was conducted to make the network of miRNAs-mRNAs interactions in pancreatic cancer as the fourth leading cause of cancer death. Methods. 56 miRNAs that were exclusively expressed and 1176 genes that were downregulated or silenced in pancreas cancer were extracted from beforehand investigations. MiRNA–mRNA interactions data analysis and related networks were explored using MAGIA tool and Cytoscape 3 software. Functional annotations of candidate genes in pancreatic cancer were identified by DAVID annotation tool. Results. This network is made of 217 nodes for mRNA, 15 nodes for miRNA, and 241 edges that show 241 regulations between 15 miRNAs and 217 target genes. -
UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent Permalink https://escholarship.org/uc/item/7m04f0b0 Author Buchholz, Kyle Stephen Publication Date 2016 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioengineering by Kyle Stephen Buchholz Committee in Charge: Professor Jeffrey Omens, Chair Professor Andrew McCulloch, Co-Chair Professor Ju Chen Professor Karen Christman Professor Robert Ross Professor Alexander Zambon 2016 Copyright Kyle Stephen Buchholz, 2016 All rights reserved Signature Page The Dissertation of Kyle Stephen Buchholz is approved and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2016 iii Dedication To my beautiful wife, Rhia. iv Table of Contents Signature Page ................................................................................................................... iii Dedication .......................................................................................................................... iv Table of Contents ................................................................................................................ v List of Figures ................................................................................................................... -
Supplementary Table 1 Double Treatment Vs Single Treatment
Supplementary table 1 Double treatment vs single treatment Probe ID Symbol Gene name P value Fold change TC0500007292.hg.1 NIM1K NIM1 serine/threonine protein kinase 1.05E-04 5.02 HTA2-neg-47424007_st NA NA 3.44E-03 4.11 HTA2-pos-3475282_st NA NA 3.30E-03 3.24 TC0X00007013.hg.1 MPC1L mitochondrial pyruvate carrier 1-like 5.22E-03 3.21 TC0200010447.hg.1 CASP8 caspase 8, apoptosis-related cysteine peptidase 3.54E-03 2.46 TC0400008390.hg.1 LRIT3 leucine-rich repeat, immunoglobulin-like and transmembrane domains 3 1.86E-03 2.41 TC1700011905.hg.1 DNAH17 dynein, axonemal, heavy chain 17 1.81E-04 2.40 TC0600012064.hg.1 GCM1 glial cells missing homolog 1 (Drosophila) 2.81E-03 2.39 TC0100015789.hg.1 POGZ Transcript Identified by AceView, Entrez Gene ID(s) 23126 3.64E-04 2.38 TC1300010039.hg.1 NEK5 NIMA-related kinase 5 3.39E-03 2.36 TC0900008222.hg.1 STX17 syntaxin 17 1.08E-03 2.29 TC1700012355.hg.1 KRBA2 KRAB-A domain containing 2 5.98E-03 2.28 HTA2-neg-47424044_st NA NA 5.94E-03 2.24 HTA2-neg-47424360_st NA NA 2.12E-03 2.22 TC0800010802.hg.1 C8orf89 chromosome 8 open reading frame 89 6.51E-04 2.20 TC1500010745.hg.1 POLR2M polymerase (RNA) II (DNA directed) polypeptide M 5.19E-03 2.20 TC1500007409.hg.1 GCNT3 glucosaminyl (N-acetyl) transferase 3, mucin type 6.48E-03 2.17 TC2200007132.hg.1 RFPL3 ret finger protein-like 3 5.91E-05 2.17 HTA2-neg-47424024_st NA NA 2.45E-03 2.16 TC0200010474.hg.1 KIAA2012 KIAA2012 5.20E-03 2.16 TC1100007216.hg.1 PRRG4 proline rich Gla (G-carboxyglutamic acid) 4 (transmembrane) 7.43E-03 2.15 TC0400012977.hg.1 SH3D19 -
Gwas Meta-Analysis of Intelligence 1
bioRxiv preprint doi: https://doi.org/10.1101/184853; this version posted September 6, 2017. 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. GWAS META-ANALYSIS OF INTELLIGENCE 1 GWAS meta-analysis (N=279,930) identifies new genes and functional links to intelligence Jeanne E Savage1#, Philip R Jansen1,2#, Sven Stringer1, Kyoko Watanabe1, Julien Bryois3, Christiaan A de Leeuw1, Mats Nagel1, Swapnil Awasthi4, Peter B Barr5, Jonathan R I Coleman6,7, Katrina L Grasby8, Anke R Hammerschlag1, Jakob Kaminski4,9, Robert Karlsson3, Eva Krapohl6, Max Lam10, Marianne Nygaard11,12, Chandra A Reynolds13, Joey W Trampush14, Hannah Young15, Delilah Zabaneh6, Sara Hägg3, Narelle K Hansell16, Ida K Karlsson3, Sten Linnarsson17, Grant W Montgomery8,18, Ana B Muñoz-Manchado17, Erin B Quinlan6, Gunter Schumann6, Nathan Skene17, Bradley T Webb19,20,21, Tonya White2, Dan E Arking22, Deborah K Attix23,24, Dimitrios Avramopoulos22,25, Robert M Bilder26, Panos Bitsios27, Katherine E Burdick28,29,30, Tyrone D Cannon31, Ornit Chiba-Falek32, Andrea Christoforou23, Elizabeth T Cirulli33, Eliza Congdon26, Aiden Corvin34, Gail Davies35, 36, Ian J Deary35,36, Pamela DeRosse37, Dwight Dickinson38, Srdjan Djurovic39,40, Gary Donohoe41, Emily Drabant Conley42, Johan G Eriksson43,44, Thomas Espeseth45,46, Nelson A Freimer26, Stella Giakoumaki47, Ina Giegling48, Michael Gill34, David -
Gene Amplifications at Chromosome 7 of the Human Gastric Cancer Genome
225-231 4/7/07 20:50 Page 225 INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 20: 225-231, 2007 225 Gene amplifications at chromosome 7 of the human gastric cancer genome SANGHWA YANG Cancer Metastasis Research Center, Yonsei University College of Medicine, 134 Shinchon-Dong, Seoul 120-752, Korea Received April 20, 2007; Accepted May 7, 2007 Abstract. Genetic aberrations at chromosome 7 are known to Introduction be related with diverse human diseases, including cancer and autism. In a number of cancer research areas involving gastric The completion of human genome sequencing and the cancer, several comparative genomic hybridization studies subsequent gene annotations, together with a rapid develop- employing metaphase chromosome or BAC clone micro- ment of high throughput screening technologies, such as DNA arrays have repeatedly identified human chromosome 7 microarrays, have made it possible to perform genome-scale as containing ‘regions of changes’ related with cancer expression profiling and comparative genomic hybridizations progression. cDNA microarray-based comparative genomic (CGHs) in various cancer models. The elucidation of gene hybridization can be used to directly identify individual target copy number variations in several cancer genomes is generating genes undergoing copy number variations. Copy number very informative results. Metaphase chromosome CGH and change analysis for 17,000 genes on a microarray format was the recent introduction of BAC and especially cDNA micro- performed with tumor and normal gastric tissues from 30 array-based CGHs (aCGH) (1) have greatly contributed to patients. A group of 90 genes undergoing copy number the identification of chromosome aberrations and of amplified increases (gene amplification) at the p11~p22 or q21~q36 and deleted genes in gastric cancer tissues and cell lines (2-9). -
Research Article Network of Micrornas-Mrnas Interactions in Pancreatic Cancer
Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 534821, 8 pages http://dx.doi.org/10.1155/2014/534821 Research Article Network of microRNAs-mRNAs Interactions in Pancreatic Cancer Elnaz Naderi,1 Mehdi Mostafaei,2 Akram Pourshams,1 and Ashraf Mohamadkhani1 1 Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran 2 Biotechnology Engineering, Islamic Azad University,Tehran North Branch, Tehran, Iran Correspondence should be addressed to Ashraf Mohamadkhani; [email protected] Received 5 February 2014; Revised 13 April 2014; Accepted 13 April 2014; Published 7 May 2014 Academic Editor: FangXiang Wu Copyright © 2014 Elnaz Naderi 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. Background. MicroRNAs are small RNA molecules that regulate the expression of certain genes through interaction with mRNA targets and are mainly involved in human cancer. This study was conducted to make the network of miRNAs-mRNAs interactions in pancreatic cancer as the fourth leading cause of cancer death. Methods. 56 miRNAs that were exclusively expressed and 1176 genes that were downregulated or silenced in pancreas cancer were extracted from beforehand investigations. MiRNA–mRNA interactions data analysis and related networks were explored using MAGIA tool and Cytoscape 3 software. Functional annotations of candidate genes in pancreatic cancer were identified by DAVID annotation tool. Results. This network is made of 217 nodes for mRNA, 15 nodes for miRNA, and 241 edges that show 241 regulations between 15 miRNAs and 217 target genes. -
Affymetrix Probe ID Gene Symbol 1007 S at DDR1 1494 F At
Affymetrix Probe ID Gene Symbol 1007_s_at DDR1 1494_f_at CYP2A6 1552312_a_at MFAP3 1552368_at CTCFL 1552396_at SPINLW1 /// WFDC6 1552474_a_at GAMT 1552486_s_at LACTB 1552586_at TRPV3 1552619_a_at ANLN 1552628_a_at HERPUD2 1552680_a_at CASC5 1552928_s_at MAP3K7IP3 1552978_a_at SCAMP1 1553099_at TIGD1 1553106_at C5orf24 1553530_a_at ITGB1 1553997_a_at ASPHD1 1554127_s_at MSRB3 1554152_a_at OGDH 1554168_a_at SH3KBP1 1554217_a_at CCDC132 1554279_a_at TRMT2B 1554334_a_at DNAJA4 1554480_a_at ARMC10 1554510_s_at GHITM 1554524_a_at OLFM3 1554600_s_at LMNA 1555021_a_at SCARF1 1555058_a_at LPGAT1 1555197_a_at C21orf58 1555282_a_at PPARGC1B 1555460_a_at SLC39A6 1555559_s_at USP25 1555564_a_at CFI 1555594_a_at MBNL1 1555729_a_at CD209 1555733_s_at AP1S3 1555906_s_at C3orf23 1555945_s_at FAM120A 1555947_at FAM120A 1555950_a_at CD55 1557137_at TMEM17 1557910_at HSP90AB1 1558027_s_at PRKAB2 1558680_s_at PDE1A 1559136_s_at FLJ44451 /// IDS 1559490_at LRCH3 1562378_s_at PROM2 1562443_at RLBP1L2 1563522_at DDX10 /// LOC401533 1563834_a_at C1orf62 1566509_s_at FBXO9 1567214_a_at PNN 1568678_s_at FGFR1OP 1569629_x_atLOC389906 /// LOC441528 /// LOC728687 /// LOC729162 1598_g_at GAS6 /// LOC100133684 200064_at HSP90AB1 200596_s_at EIF3A 200597_at EIF3A 200604_s_at PRKAR1A 200621_at CSRP1 200638_s_at YWHAZ 200640_at YWHAZ 200641_s_at YWHAZ 200702_s_at DDX24 200742_s_at TPP1 200747_s_at NUMA1 200762_at DPYSL2 200872_at S100A10 200878_at EPAS1 200931_s_at VCL 200965_s_at ABLIM1 200998_s_at CKAP4 201019_s_at EIF1AP1 /// EIF1AX 201028_s_at CD99 201036_s_at HADH -
Whole Exome Sequencing in Adult-Onset Hearing Loss Reveals A
Lewis et al. BMC Medical Genomics (2018) 11:77 https://doi.org/10.1186/s12920-018-0395-1 RESEARCHARTICLE Open Access Whole exome sequencing in adult-onset hearing loss reveals a high load of predicted pathogenic variants in known deafness-associated genes and identifies new candidate genes Morag A. Lewis1,2, Lisa S. Nolan3, Barbara A. Cadge3, Lois J. Matthews4, Bradley A. Schulte4, Judy R. Dubno4, Karen P. Steel1,2† and Sally J. Dawson3*† Abstract Background: Deafness is a highly heterogenous disorder with over 100 genes known to underlie human non- syndromic hearing impairment. However, many more remain undiscovered, particularly those involved in the most common form of deafness: adult-onset progressive hearing loss. Despite several genome-wide association studies of adult hearing status, it remains unclear whether the genetic architecture of this common sensory loss consists of multiple rare variants each with large effect size or many common susceptibility variants each with small to medium effects. As next generation sequencing is now being utilised in clinical diagnosis, our aim was to explore the viability of diagnosing the genetic cause of hearing loss using whole exome sequencing in individual subjects as in a clinical setting. Methods: We performed exome sequencing of thirty patients selected for distinct phenotypic sub-types from well- characterised cohorts of 1479 people with adult-onset hearing loss. Results: Every individual carried predicted pathogenic variants in at least ten deafness-associated genes; similar findings were obtained from an analysis of the 1000 Genomes Project data unselected for hearing status. We have identified putative causal variants in known deafness genes and several novel candidate genes, including NEDD4 and NEFH that were mutated in multiple individuals. -
Asparaginase Treatment Side-Effects May Be Due to Genes with Homopolymeric Asn Codons (Review-Hypothesis)
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 36: 607-626, 2015 Asparaginase treatment side-effects may be due to genes with homopolymeric Asn codons (Review-Hypothesis) JULIAN BANERJI Center for Computational and Integrative Biology, MGH, Simches Research Center, Boston, MA 02114, USA Received April 15, 2015; Accepted July 15, 2015 DOI: 10.3892/ijmm.2015.2285 Abstract. The present treatment of childhood T-cell 1. Foundation of the hypothesis leukemias involves the systemic administration of prokary- otic L-asparaginase (ASNase), which depletes plasma Core hypothesis: translocation rates, poly Asparagine (Asn); Asparagine (Asn) and inhibits protein synthesis. The mecha- insulin-receptor-substrate 2 (IRS2) and diabetes; hypothesis nism of therapeutic action of ASNase is poorly understood, tests, poly glutamine (Gln) HTT and ataxias. Despite similar as are the etiologies of the side-effects incurred by treatment. Asn codon usage, ~4%/gene, from plants to humans (1), Protein expression from genes bearing Asn homopolymeric mammals are distinguished by a paucity of genes with a long coding regions (N-hCR) may be particularly susceptible to Asn homopolymeric coding region (N-hCR) (2). The 17 human Asn level fluctuation. In mammals, N-hCR are rare, short and genes with the longest N-hCR (ranging from five to eight conserved. In humans, misfunctions of genes encoding N-hCR consecutive Asn codons) are listed in Fig. 1; Table I lists genes are associated with a cluster of disorders that mimic ASNase with N-hCR greater than three. IRS2, encoding an insulin therapy side-effects which include impaired glycemic control, signal transducer, is the gene at the top of the list in Fig.