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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
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) -
EAGLES by MEGAN E. JUDKIN
CONSERVATION GENOMICS OF NORTH AMERICAN BALD (HALIAEETUS LEUCOCEPHALUS) AND GOLDEN (AQUILA CHRYSAETOS) EAGLES By MEGAN E. JUDKINS Bachelor of Arts/Science in Natural Resources Ecology and Management Oklahoma State University Stillwater, OK 2005 Master of Business Administration Marylhurst University, Marylhurst, Oregon 2012. Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of DOCTOR OF PHILOSOPHY December, 2017 CONSERVATION GENOMICS OF NORTH AMERICAN BALD (HALIAEETUS LEUCOCEPHALUS) AND GOLDEN (AQUILA CHRYSAETOS) EAGLES Dissertation Approved: Dr. Ronald A. Van Den Bussche Dissertation Adviser Dr. Jim Lish Dr. Meredith Hamilton Dr. Andrew Doust Outside Committee Member ii ACKNOWLEDGEMENTS There are a number of people that I must thank who made my dissertation possible and who supported me throughout this journey. To Victor Roubidoux who has supported all of my ideas in an effort to make the Grey Snow Eagle House the best it can be, thank you for allowing the bald and golden eagle conservation partnership between the Iowa Tribe of Oklahoma and the Van Den Bussche Lab to happen. Without your support, this project would have never been able to transform into the success that it is today. I also must express my deepest thanks and appreciation to Ron Van Den Bussche for taking a chance on this initially unfunded project that was fueled by the passion of three people who understand the importance of the conservation of eagles. I must also thank Ron for all the time, effort, and knowledge shared throughout the last six years that built me into the researcher and person I am today. -
Identification of Potential Genetic Variants Associated with Longevity
Identification of potential genetic variants associated with longevity and lifetime production traits in a Thai Landrace pig population using weighted single-step genome-wide association methods S. Plaengkaeo1, M. Duangjinda1 and K.J. Stalder2 1 Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand 2 Department of Animal Science, Iowa State University, Ames, IA, United States Corresponding author: M. Duangjinda E-mail: [email protected] Genet. Mol. Res. 19 (3): gmr18465 Received August 16, 2019 Accepted May 23, 2020 Published July 31, 2020 DOI http://dx.doi.org/10.4238/gmr18465 ABSTRACT. Longevity and lifetime production traits are of increasing importance in swine breeding schemes worldwide because these traits influence sow productivity and welfare, as well as affecting farm profitability. The Landrace breed makes up one-half of the F1 Large White x Landrace female, which is the most popular maternal line in the breeding herd of commercial pork production systems in Thailand and throughout the world. The objective of this study was to estimate genetic parameters and detect potential genetic variants associated with age at first farrowing (AFF), length of productive life (LPL), lifetime number of piglets born alive (LNBA), lifetime number of piglets weaned (LNW), lifetime wean to first service interval (LW2S) and lifetime pig efficiency (LTP365) in a Thai Landrace pig population. dData were analyzed for 82,346 litters from 12,843 Landrace pigs housed in three farms; all farms were a part of a large commercial production system. Genetic parameters were estimated using a single-step, genomic-BLUP (ssGBLUP) that utilizes general pedigree and genomic relationships. -
Identification of Common Molecular Biomarker Signatures in Blood And
bioRxiv preprint doi: https://doi.org/10.1101/482828; this version posted January 14, 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. Identification of common molecular biomarker signatures in blood and brain of Alzheimer's disease Md. Rezanur Rahmana,y,∗, Tania Islamb,y, Md. Shahjamanc, Julian M.W. Quinnd, R. M. Damian Holsingere,f, Mohammad Ali Monid,e,∗ aDepartment of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj, Bangladesh bDepartment of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh cDepartment of Statistics, Begum Rokeya University, Rangpur, Bangladesh dBone Biology Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia eDiscipline of Biomedical Science, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia fLaboratory of Molecular Neuroscience and Dementia, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia Abstract Background: Alzheimers disease (AD) is a progressive neurodegenerative disease charac- terized by memory loss and confusion. Neuroimaging and cerebrospinal fluid-based early detection is limited in sensitivity and specificity as well as by cost. Therefore, detecting AD from blood cell analysis could improve early diagnosis and treatment of the disease. The present study aimed to identify blood cell transcripts that reflect brain expression levels of factors linked to AD progression. Methods: We analyzed blood cell and brain microarray gene expression datasets from NCBI-GEO for AD association and expression in blood and brain. We also used eQTL and epigenetics data to identify AD-related genes that were regulated similarly in blood and brain. -
Common Molecular Biomarker Signatures in Blood and Brain of Alzheimer’S Disease
bioRxiv preprint doi: https://doi.org/10.1101/482828; this version posted November 29, 2018. 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. Common molecular biomarker signatures in blood and brain of Alzheimer’s disease Md. Rezanur Rahman1,a,*, Tania Islam2,a, Md. Shahjaman3, Damian Holsinger4, and Mohammad Ali Moni4,* 1Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj, Bangladesh 2Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh 3Department of Statistics, Begum Rokeya University, Rangpur, Bangladesh 4The University of Sydney, Sydney Medical School, School of Medical Sciences, Discipline of Biomedical Science, Sydney, New South Wales, Australia aThese two authors made equal contribution and hold joint first authorhsip for this work. *Corresponding author: E-mail: [email protected] (Md. Rezanur Rahman) . E-mail: [email protected] (Mohammad Ali Moni, PhD) 1 bioRxiv preprint doi: https://doi.org/10.1101/482828; this version posted November 29, 2018. 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 Background: The Alzheimer’s is a progressive neurodegenerative disease of elderly peoples characterized by dementia and the fatality is increased due to lack of early stage detection. The neuroimaging and cerebrospinal fluid based detection is limited with sensitivity and specificity and cost. Therefore, detecting AD from blood transcriptsthat mirror the expression of brain transcripts in the AD would be one way to improve the diagnosis and treatment of AD. -
Network Mining Approach to Cancer Biomarker Discovery
NETWORK MINING APPROACH TO CANCER BIOMARKER DISCOVERY THESIS Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Praneeth Uppalapati, B.E. Graduate Program in Computer Science and Engineering The Ohio State University 2010 Thesis Committee: Dr. Kun Huang, Advisor Dr. Raghu Machiraju Copyright by Praneeth Uppalapati 2010 ABSTRACT With the rapid development of high throughput gene expression profiling technology, molecule profiling has become a powerful tool to characterize disease subtypes and discover gene signatures. Most existing gene signature discovery methods apply statistical methods to select genes whose expression values can differentiate different subject groups. However, a drawback of these approaches is that the selected genes are not functionally related and hence cannot reveal biological mechanism behind the difference in the patient groups. Gene co-expression network analysis can be used to mine functionally related sets of genes that can be marked as potential biomarkers through survival analysis. We present an efficient heuristic algorithm EigenCut that exploits the properties of gene co- expression networks to mine functionally related and dense modules of genes. We apply this method to brain tumor (Glioblastoma Multiforme) study to obtain functionally related clusters. If functional groups of genes with predictive power on patient prognosis can be identified, insights on the mechanisms related to metastasis in GBM can be obtained and better therapeutical plan can be developed. We predicted potential biomarkers by dividing the patients into two groups based on their expression profiles over the genes in the clusters and comparing their survival outcome through survival analysis. -
Review of X-Linked Syndromes with Arthrogryposis Or Early Contractures—Aid to Diagnosis and Pathway Identification Jesse M
REVIEW ARTICLE Review of X-Linked Syndromes with Arthrogryposis or Early Contractures—Aid to Diagnosis and Pathway Identification Jesse M. Hunter,1 Jeff Kiefer,2 Christopher D. Balak,1 Sonya Jooma,1 Mary Ellen Ahearn,1 Judith G. Hall,3 and Lisa Baumbach-Reardon1* 1Integrated Functional Cancer Genomics, Translational Genomics Research Institute, Phoenix, Arizona 2Knowledge Mining, Translational Genomics Research Institute, Phoenix, Arizona 3Departments of Medical Genetics and Pediatrics, University of British Columbia and BC Children’s Hospital Vancouver, British Columbia, Canada Manuscript Received: 19 August 2014; Manuscript Accepted: 5 December 2014 The following is a review of 50 X-linked syndromes and con- ditions associated with either arthrogryposis or other types of How to Cite this Article: early contractures. These entities are categorized as those with Hunter JM, Kiefer J, Balak CD, Jooma S, known responsible gene mutations, those which are definitely X- Ahearn ME, Hall JG, Baumbach-Reardon L. linked, but the responsible gene has not been identified, and 2015. Review of X-linked syndromes with those suspected from family history to be X-linked. Several arthrogryposis or early contractures—aid to important ontology pathways for known disease genes have diagnosis and pathway identification. been identified and are discussed in relevance to clinical char- Am J Med Genet Part A 167A:931–973. acteristics. Tables are included which help to identify distin- guishing clinical features of each of the conditions. Ó 2015 Wiley Periodicals, Inc. or arthrogryposis multiplex congenital (AMC), are generally used Key words: arthrogryposis; multiple congenital contractures; to describe two congenital contractures of more than one body area arthrogryposis multiplex congenita; contractures; X-linked; [Bamshad et al., 2009; Hall, 2013]. -
Chromosome-Wide Profiling of X-Chromosome Inactivation and Epigenetic States in Fetal Brain and Placenta of the Opossum, Monodelphis Domestica
Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Chromosome-wide profiling of X-chromosome inactivation and epigenetic states in fetal brain and placenta of the opossum, Monodelphis domestica Xu Wang,1,2,* Kory C. Douglas,3,* John L. VandeBerg4, Andrew G. Clark,1,2 and Paul B. Samollow3,† 1Department of Molecular Biology & Genetics, Cornell University, Ithaca, NY 14853, USA. 2The Cornell Center for Comparative and Population Genomics, Cornell University, Ithaca, NY 14853, USA. 3Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843, USA. 4Department of Genetics, Texas Biomedical Research Institute, and Southwest National Primate Research Center, San Antonio, TX 78245, USA. *These authors contributed equally to this work. †Correspondence: Paul B. Samollow, Ph.D., Department of Veterinary Integrative Biosciences, Texas A&M University, 4458 TAMU, College Station, TX 77843-4458 Telephone: 979-845-7095. FAX: 979-845-9972. Email: [email protected] 1 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Running title: X-inactivation and epigenetic profiles in opossum Keywords: imprinted X-chromosome inactivation, escape from X inactivation, marsupial, ChIP-seq, RNA-Seq. 2 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Evidence from a few genes in diverse species suggests that X-chromosome inactivation (XCI) in marsupials is characterized by exclusive, but leaky, inactivation of the paternally derived X chromosome. To study the phenomenon of marsupial XCI more comprehensively, we profiled parent-of-origin allele-specific expression, DNA methylation, and histone modifications in fetal brain and extra-embryonic membranes in the gray, short-tailed opossum (Monodelphis domestica). -
Table 2S List of the Probe Sets (Each of Them Corresponding to a Gene Or A
Table 2s List of the probe sets (each of them corresponding to a gene or a gene family) resulting significantly modulated (see Table 1s) in DPTs following 3 hour Dex and whose increased/decreased modulation was above a chosen cut-off (for log increase > 0.75 and for log decrease < -0.5). In the Affymetrix platform each probe set is represented by an ID number (column 1) linked to a gene or gene family (columns 2 and 3). The modulation of the expression in the treated DPTs is reported as log in 2 basis (a 2 fold increase expression is reported as 1 and a 2 fold decrease expression is reported as –1). To allow comparison, the ID numbers of several data banks corresponding to the probe set ID are reported in columns 6- 14 and 19. Gene Ontology numbers and the pathway(s) in which the gene is involved are reported in columns 15-18. Affymetrix GeneChip Array Murine Genome U74Av2 Array Genome March 2005 (NCBI 34) Version column 1 column 2 column 3 column 4 column 5 column 6 column 7 column 8 column 9 column 10 column 11 column 12 column 13 column 14 Transcript Log2 Fold Representative Entrez RefSeq Transcript Probe Set ID Gene Title Gene Symbol ID (Array UniGene ID Ensembl SwissProt EC RefSeq Protein ID MGI Name Modulation Public ID Gene ID Design) ENSMUSG0 Q9CXH2 /// 95151_at RIKEN cDNA 2810052M02 gene 2810052M02Rik -2.8 5674136 AW061307 Mm.29475 67220 --- NP_075809.1 NM_023320 --- 0000015745 Q9JIY0 ENSMUSG0 P41133 /// 92614_at inhibitor of DNA binding 3 Id3 -2 5663577 M60523 Mm.110 15903 --- NP_032347.1 NM_008321 --- 0000007872 Q545W1 5690864_R -
Study of Proteins Implicated in Centronuclear Myopathies by Using the Model of Yeast Saccharomyces Cerevisiae Myriam Sanjuan Vazquez
Study of proteins implicated in centronuclear myopathies by using the model of yeast Saccharomyces cerevisiae Myriam Sanjuan Vazquez To cite this version: Myriam Sanjuan Vazquez. Study of proteins implicated in centronuclear myopathies by using the model of yeast Saccharomyces cerevisiae. Biochemistry, Molecular Biology. Université de Strasbourg, 2018. English. NNT : 2018STRAJ021. tel-02917918 HAL Id: tel-02917918 https://tel.archives-ouvertes.fr/tel-02917918 Submitted on 20 Aug 2020 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. UNIVERSITÉ DE STRASBOURG ÉCOLE DOCTORALE DES SCIENCES DE LA VIE ET DE LA SANTE (ED 414) Génétique Moléculaire, Génomique, Microbiologie (GMGM) – UMR 7156 THÈSE présentée par : Myriam Sanjuán Vázquez soutenue le : 29 Janvier 2018 pour obtenir le grade de : Docteur de l’Université de Strasbourg Discipline/ Spécialité : Aspects moléculaires et cellulaires de la biologie Study of proteins implicated in centronuclear myopathies by using the model of yeast Saccharomyces cerevisiae THÈSE dirigée par : Mme FRIANT Sylvie GMGM, Université de Strasbourg RAPPORTEURS : Mme TRONCHERE Hélène Institut des Maladies Métaboliques et Cardiovasculaires, Toulouse M. BITOUN Marc Institut de Myologie, Paris AUTRES MEMBRES DU JURY : M. LESCURE Alain Institut de Biologie Moléculaire et Cellulaire, Strasbourg Acknowledgements I am grateful to have had the opportunity of making and completing this doctoral thesis. -
A Phylogenetic Survey of Myotubularin Genes of Eukaryotes: Distribution, Protein Structure, Evolution, and Gene Expression David Kerk, Greg BG Moorhead*
Kerk and Moorhead BMC Evolutionary Biology 2010, 10:196 http://www.biomedcentral.com/1471-2148/10/196 RESEARCH ARTICLE Open Access A phylogenetic survey of myotubularin genes of eukaryotes: distribution, protein structure, evolution, and gene expression David Kerk, Greg BG Moorhead* Abstract Background: Phosphorylated phosphatidylinositol (PtdIns) lipids, produced and modified by PtdIns kinases and phosphatases, are critical to the regulation of diverse cellular functions. The myotubularin PtdIns-phosphate phosphatases have been well characterized in yeast and especially animals, where multiple isoforms, both catalytically active and inactive, occur. Myotubularin mutations bring about disruption of cellular membrane trafficking, and in humans, disease. Previous studies have suggested that myotubularins are widely distributed amongst eukaryotes, but key evolutionary questions concerning the origin of different myotubularin isoforms remain unanswered, and little is known about the function of these proteins in most organisms. Results: We have identified 80 myotubularin homologues amidst the completely sequenced genomes of 30 organisms spanning four eukaryotic supergroups. We have mapped domain architecture, and inferred evolutionary histories. We have documented an expansion in the Amoebozoa of a family of inactive myotubularins with a novel domain architecture, which we dub “IMLRK” (inactive myotubularin/LRR/ROCO/kinase). There is an especially large myotubularin gene family in the pathogen Entamoeba histolytica, the majority of them IMLRK proteins. We have analyzed published patterns of gene expression in this organism which indicate that myotubularins may be important to critical life cycle stage transitions and host infection. Conclusions: This study presents an overall framework of eukaryotic myotubularin gene evolution. Inactive myotubularin homologues with distinct domain architectures appear to have arisen on three separate occasions in different eukaryotic lineages.