WO 2015/048577 A2 April 2015 (02.04.2015) W P O P C T
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Yeast DNA Polymerase Zeta ()Is Essential for Error-Free Replication Past Thymine Glycol
Downloaded from genesdev.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press Yeast DNA polymerase zeta ()is essential for error-free replication past thymine glycol Robert E. Johnson, Sung-Lim Yu, Satya Prakash, and Louise Prakash1 Sealy Center for Molecular Science, University of Texas Medical Branch at Galveston, Galveston, Texas 77555-1061, USA DNA polymerase zeta (Pol) promotes the mutagenic bypass of DNA lesions in eukaryotes. Genetic studies in Saccharomyces cerevisiae have indicated that relative to the contribution of other pathways, Pol makes only a modest contribution to lesion bypass. Intriguingly, however, disruption of the REV3 gene, which encodes the catalytic subunit of Pol, causes early embryonic lethality in mice. Here, we present genetic and biochemical evidence for the requirement of yeast Pol for predominantly error-free replication past thymine glycol (Tg), a DNA lesion formed frequently by free radical attack. These results raise the possibility that, as in yeast, in higher eukaryotes also, Pol makes a major contribution to the replicative bypass of Tgs as well as other lesions that block synthesis by replicative DNA polymerases. Such a preeminent role of Pol in lesion bypass would ensure that rapid cell divisions continue unabated during early embryonic development, thereby minimizing the generation of DNA strand breaks, chromosome aberrations, and the ensuing apoptotic response. [Keywords: DNApolymerase ; thymine glycol; translesion DNAsynthesis; Pol as an extender; error-free translesion DNAsynthesis by Pol ; yeast] Received October 4, 2002; revised version accepted October 31, 2002. Genetic studies in the yeast Saccharomyces cerevisiae et al. 2000b; Washington et al. 2000). Genetic studies in have indicated the requirement of Rad6–Rad18-depen- yeast have additionally indicated a role for Pol in the dent processes in promoting replication of damaged error-free bypass of cyclobutane pyrimidine dimers DNA. -
Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle
Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, Mekki Boussaha, Fabio Pilla, Baldassare Portolano, Salvatore Mastrangelo To cite this version: Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, et al.. Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle. Frontiers in Genetics, Frontiers, 2021, 10.3389/fgene.2021.675569. hal-03210766 HAL Id: hal-03210766 https://hal.inrae.fr/hal-03210766 Submitted on 28 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License ORIGINAL RESEARCH published: 28 April 2021 doi: 10.3389/fgene.2021.675569 Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa 1, Gabriele Senczuk 2, Elena Ciani 3, Roberta -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
C-Myc Regulates Cell Proliferation During Lens Development
c-myc Regulates Cell Proliferation during Lens Development Gabriel R. Cavalheiro., Gabriel E. Matos-Rodrigues., Anielle L. Gomes, Paulo M. G. Rodrigues, Rodrigo A. P. Martins* Programa de Biologia Celular e do Desenvolvimento, Instituto de Cieˆncias Biome´dicas, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil Abstract Myc protooncogenes play important roles in the regulation of cell proliferation, growth, differentiation and survival during development. In various developing organs, c-myc has been shown to control the expression of cell cycle regulators and its misregulated expression is detected in many human tumors. Here, we show that c-myc gene (Myc) is highly expressed in developing mouse lens. Targeted deletion of c-myc gene from head surface ectoderm dramatically impaired ocular organogenesis, resulting in severe microphtalmia, defective anterior segment development, formation of a lens stalk and/or aphakia. In particular, lenses lacking c-myc presented thinner epithelial cell layer and growth impairment that was detectable soon after its inactivation. Defective development of c-myc-null lens was not caused by increased cell death of lens progenitor cells. Instead, c-myc loss reduced cell proliferation, what was associated with an ectopic expression of Prox1 and p27Kip1 proteins within epithelial cells. Interestingly, a sharp decrease in the expression of the forkhead box transcription factor Foxe3 was also observed following c-myc inactivation. These data represent the first description of the physiological roles played by a Myc family member in mouse lens development. Our findings support the conclusion that c- myc regulates the proliferation of lens epithelial cells in vivo and may, directly or indirectly, modulate the expression of classical cell cycle regulators in developing mouse lens. -
Preconception Carrier Screening by Genome Sequencing: Results from the Clinical Laboratory
The American Journal of Human Genetics, Volume 102 Supplemental Data Preconception Carrier Screening by Genome Sequencing: Results from the Clinical Laboratory Sumit Punj, Yassmine Akkari, Jennifer Huang, Fei Yang, Allison Creason, Christine Pak, Amiee Potter, Michael O. Dorschner, Deborah A. Nickerson, Peggy D. Robertson, Gail P. Jarvik, Laura M. Amendola, Jennifer Schleit, Dana Kostiner Simpson, Alan F. Rope, Jacob Reiss, Tia Kauffman, Marian J. Gilmore, Patricia Himes, Benjamin Wilfond, Katrina A.B. Goddard, and C. Sue Richards Supplemental Note: Clinical Report Carrier Results: Four Known Pathogenic Variants Detected. Gene Inheritance Disease Prevalence Variant Classification Pendred Syndrome/ Non- syndromic Autosomal Hearing Loss A c.1246A>C, SLC26A4 1/500 Pathogenic Recessive DFNB4 with (p.Thr416Pro) enlarged vestibular aqueduct Autosomal Spastic ++ c.1045G>A, SPG7 2-6/100,000 Pathogenic Recessive Paraplegia 7 (p.Gly349Ser) 3.7 Autosomal Alpha +++ -α HBA2 1-5/10,000 Pathogenic Recessive Thalassemia (α+- thalassemia) Autosomal Hereditary 1/200 – c.845G>A HFE Pathogenic Recessive Hemochromatosis 1/1000+ (p.Cys282Tyr) +: GeneReviews; ++: Genetics Home Reference; +++: orphan.net – varies with population; A- Generalized prevalence of all deafness and hearing loss Interpretation: A sample from this individual was referred to our laboratory for analysis of Next-Generation Genome Sequencing (NGS) and Sanger confirmation of variants identified in carrier screening for: (1) conditions with significantly shortened lifespan; (2) serious conditions; (3) mild conditions; (4) conditions with unpredictable outcomes: and (5) conditions that begin as adults. One known heterozygous missense variant, c.1246A>C (p.Thr416Pro) (NM_000441.1), was detected in exon 10 of the SLC26A4 gene of this individual by NGS. -
Table SI. Genes Upregulated ≥ 2-Fold by MIH 2.4Bl Treatment Affymetrix ID
Table SI. Genes upregulated 2-fold by MIH 2.4Bl treatment Fold UniGene ID Description Affymetrix ID Entrez Gene Change 1558048_x_at 28.84 Hs.551290 231597_x_at 17.02 Hs.720692 238825_at 10.19 93953 Hs.135167 acidic repeat containing (ACRC) 203821_at 9.82 1839 Hs.799 heparin binding EGF like growth factor (HBEGF) 1559509_at 9.41 Hs.656636 202957_at 9.06 3059 Hs.14601 hematopoietic cell-specific Lyn substrate 1 (HCLS1) 202388_at 8.11 5997 Hs.78944 regulator of G-protein signaling 2 (RGS2) 213649_at 7.9 6432 Hs.309090 serine and arginine rich splicing factor 7 (SRSF7) 228262_at 7.83 256714 Hs.127951 MAP7 domain containing 2 (MAP7D2) 38037_at 7.75 1839 Hs.799 heparin binding EGF like growth factor (HBEGF) 224549_x_at 7.6 202672_s_at 7.53 467 Hs.460 activating transcription factor 3 (ATF3) 243581_at 6.94 Hs.659284 239203_at 6.9 286006 Hs.396189 leucine rich single-pass membrane protein 1 (LSMEM1) 210800_at 6.7 1678 translocase of inner mitochondrial membrane 8 homolog A (yeast) (TIMM8A) 238956_at 6.48 1943 Hs.741510 ephrin A2 (EFNA2) 242918_at 6.22 4678 Hs.319334 nuclear autoantigenic sperm protein (NASP) 224254_x_at 6.06 243509_at 6 236832_at 5.89 221442 Hs.374076 adenylate cyclase 10, soluble pseudogene 1 (ADCY10P1) 234562_x_at 5.89 Hs.675414 214093_s_at 5.88 8880 Hs.567380; far upstream element binding protein 1 (FUBP1) Hs.707742 223774_at 5.59 677825 Hs.632377 small nucleolar RNA, H/ACA box 44 (SNORA44) 234723_x_at 5.48 Hs.677287 226419_s_at 5.41 6426 Hs.710026; serine and arginine rich splicing factor 1 (SRSF1) Hs.744140 228967_at 5.37 -
Ebf Factors and Myod Cooperate to Regulate Muscle Relaxation Via Atp2a1
ARTICLE Received 12 Feb 2014 | Accepted 2 Apr 2014 | Published 2 May 2014 DOI: 10.1038/ncomms4793 Ebf factors and MyoD cooperate to regulate muscle relaxation via Atp2a1 Saihong Jin1, Jeehee Kim1, Torsten Willert1, Tanja Klein-Rodewald2, Mario Garcia-Dominguez3,4, Matias Mosqueira5, Rainer Fink5, Irene Esposito2,6, Lorenz C. Hofbauer7, Patrick Charnay3 & Matthias Kieslinger1 Myogenic regulatory factors such as MyoD and Myf5 lie at the core of vertebrate muscle differentiation. However, E-boxes, the cognate binding sites for these transcription factors, are not restricted to the promoters/enhancers of muscle cell-specific genes. Thus, the specificity in myogenic transcription is poorly defined. Here we describe the transcription factor Ebf3 as a new determinant of muscle cell-specific transcription. In the absence of Ebf3 the lung does not unfold at birth, resulting in respiratory failure and perinatal death. This is due to a hypercontractile diaphragm with impaired Ca2 þ efflux-related muscle functions. Expression of the Ca2 þ pump Serca1 (Atp2a1) is downregulated in the absence of Ebf3, and its transgenic expression rescues this phenotype. Ebf3 binds directly to the promoter of Atp2a1 and synergises with MyoD in the induction of Atp2a1. In skeletal muscle, the homologous family member Ebf1 is strongly expressed and together with MyoD induces Atp2a1. Thus, Ebf3 is a new regulator of terminal muscle differentiation in the diaphragm, and Ebf factors cooperate with MyoD in the induction of muscle-specific genes. 1 Institute of Clinical Molecular Biology and Tumor Genetics, Helmholtz Zentrum Mu¨nchen, National Research Center for Environmental Health, Marchioninistrasse 25, 81377 Munich, Germany. 2 Institute of Pathology, Helmholtz Zentrum Mu¨nchen, National Research Center for Environmental Health, Ingolsta¨dter Landstr. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Immune Proteins and Glutamatergic Dysfunction in Autism Lisa M
SHARED NEUROBIOLOGY OF AUTISM AND RELATED DISORDERS University of Southern California Los Angeles, California Young Investigator Program POSTER SESSION A Posters 1-8 Andrus Gerontology Center Monday June 11, 2007 1 Immune Proteins and Glutamatergic Dysfunction in Autism Lisa M. Boulanger Division of Biological Sciences, University of California, San Diego, San Diego, CA 92093 Autism is a complex neurological syndrome that is thought to result from a combination of environmental and genetic factors that impact brain development and function. One consistent finding in autism that may affect both brain development and function is an imbalance in glutamatergic neurotransmission (Lam et al., 2006). Genetic studies have found a significant link between autism and genes encoding certain isoforms of ionotropic glutamate receptors (GluRs) (e.g., NMDA, AMPA and kainate receptors; Jamain et al., 2002; Ramanathan et al., 2004; Barnby et al., 2005), and modifications in the levels of specific AMPA receptor subunits have been observed in the cerebellum of patients with autism (Purcell et al., 2001). Alterations in GluRs have also been reported in related disorders, including Rett syndrome (Blue et al., 1999) and tuberous sclerosis (White et al., 2001). However, the molecular and cellular causes of these changes remain elusive. In parallel, many studies have identified a link between autism and abnormalities in immune genes and/or immune function (Cohly and Panja, 2005). One emerging hypothesis is that infection or other immune challenge, in a genetically predisposed individual, may contribute to the pathogenesis of autism. In support of this hypothesis, maternal infection is a risk factor for autism in humans, and mouse models of maternal immune challenge support a role for the immune response – specifically upregulation of cytokines--in the origins of autism (Patterson, 2002; Shi et al., 2003; Molloy et al., 2006). -
WES Gene Package Multiple Congenital Anomalie.Xlsx
Whole Exome Sequencing Gene package Multiple congenital anomalie, version 5, 1‐2‐2018 Technical information DNA was enriched using Agilent SureSelect Clinical Research Exome V2 capture and paired‐end sequenced on the Illumina platform (outsourced). The aim is to obtain 8.1 Giga base pairs per exome with a mapped fraction of 0.99. The average coverage of the exome is ~50x. Duplicate reads are excluded. Data are demultiplexed with bcl2fastq Conversion Software from Illumina. Reads are mapped to the genome using the BWA‐MEM algorithm (reference: http://bio‐bwa.sourceforge.net/). Variant detection is performed by the Genome Analysis Toolkit HaplotypeCaller (reference: http://www.broadinstitute.org/gatk/). The detected variants are filtered and annotated with Cartagenia software and classified with Alamut Visual. It is not excluded that pathogenic mutations are being missed using this technology. At this moment, there is not enough information about the sensitivity of this technique with respect to the detection of deletions and duplications of more than 5 nucleotides and of somatic mosaic mutations (all types of sequence changes). HGNC approved Phenotype description including OMIM phenotype ID(s) OMIM median depth % covered % covered % covered gene symbol gene ID >10x >20x >30x A4GALT [Blood group, P1Pk system, P(2) phenotype], 111400 607922 101 100 100 99 [Blood group, P1Pk system, p phenotype], 111400 NOR polyagglutination syndrome, 111400 AAAS Achalasia‐addisonianism‐alacrimia syndrome, 231550 605378 73 100 100 100 AAGAB Keratoderma, palmoplantar, -
Orphanet Report Series Rare Diseases Collection
Marche des Maladies Rares – Alliance Maladies Rares Orphanet Report Series Rare Diseases collection DecemberOctober 2013 2009 List of rare diseases and synonyms Listed in alphabetical order www.orpha.net 20102206 Rare diseases listed in alphabetical order ORPHA ORPHA ORPHA Disease name Disease name Disease name Number Number Number 289157 1-alpha-hydroxylase deficiency 309127 3-hydroxyacyl-CoA dehydrogenase 228384 5q14.3 microdeletion syndrome deficiency 293948 1p21.3 microdeletion syndrome 314655 5q31.3 microdeletion syndrome 939 3-hydroxyisobutyric aciduria 1606 1p36 deletion syndrome 228415 5q35 microduplication syndrome 2616 3M syndrome 250989 1q21.1 microdeletion syndrome 96125 6p subtelomeric deletion syndrome 2616 3-M syndrome 250994 1q21.1 microduplication syndrome 251046 6p22 microdeletion syndrome 293843 3MC syndrome 250999 1q41q42 microdeletion syndrome 96125 6p25 microdeletion syndrome 6 3-methylcrotonylglycinuria 250999 1q41-q42 microdeletion syndrome 99135 6-phosphogluconate dehydrogenase 67046 3-methylglutaconic aciduria type 1 deficiency 238769 1q44 microdeletion syndrome 111 3-methylglutaconic aciduria type 2 13 6-pyruvoyl-tetrahydropterin synthase 976 2,8 dihydroxyadenine urolithiasis deficiency 67047 3-methylglutaconic aciduria type 3 869 2A syndrome 75857 6q terminal deletion 67048 3-methylglutaconic aciduria type 4 79154 2-aminoadipic 2-oxoadipic aciduria 171829 6q16 deletion syndrome 66634 3-methylglutaconic aciduria type 5 19 2-hydroxyglutaric acidemia 251056 6q25 microdeletion syndrome 352328 3-methylglutaconic -
Clinical Validation of the Tempus Xt Next-Generation Targeted Oncology Sequencing Assay
www.oncotarget.com Oncotarget, 2019, Vol. 10, (No. 24), pp: 2384-2396 Research Paper Clinical validation of the tempus xT next-generation targeted oncology sequencing assay Nike Beaubier1, Robert Tell1, Denise Lau1, Jerod R. Parsons1, Stephen Bush1, Jason Perera1, Shelly Sorrells1, Timothy Baker1, Alan Chang1, Jackson Michuda1, Catherine Iguartua1, Shelley MacNeil1, Kaanan Shah1, Philip Ellis1, Kimberly Yeatts1, Brett Mahon1, Timothy Taxter1, Martin Bontrager1, Aly Khan1, Robert Huether1, Eric Lefkofsky1 and Kevin P. White1 1Tempus Labs Inc., Chicago, IL 60654, USA Correspondence to: Nike Beaubier, email: [email protected] Kevin P. White, email: [email protected] Keywords: tumor profiling, next-generation sequencing assay validation Received: August 03, 2018 Accepted: February 03, 2019 Published: March 22, 2019 Copyright: Beaubier et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT We developed and clinically validated a hybrid capture next generation sequencing assay to detect somatic alterations and microsatellite instability in solid tumors and hematologic malignancies. This targeted oncology assay utilizes tumor- normal matched samples for highly accurate somatic alteration calling and whole transcriptome RNA sequencing for unbiased identification of gene fusion events. The assay was validated with a combination of clinical specimens and cell lines, and recorded a sensitivity of 99.1% for single nucleotide variants, 98.1% for indels, 99.9% for gene rearrangements, 98.4% for copy number variations, and 99.9% for microsatellite instability detection. This assay presents a wide array of data for clinical management and clinical trial enrollment while conserving limited tissue.