Is Responsible for Congenital Hypotrichosis in Belted Galloway Cattle
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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Downregulation of Salivary Proteins, Protective Against Dental Caries, in Type 1 Diabetes
proteomes Article Downregulation of Salivary Proteins, Protective against Dental Caries, in Type 1 Diabetes Eftychia Pappa 1,* , Konstantinos Vougas 2, Jerome Zoidakis 2 , William Papaioannou 3, Christos Rahiotis 1 and Heleni Vastardis 4 1 Department of Operative Dentistry, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; [email protected] 2 Proteomics Laboratory, Biomedical Research Foundation Academy of Athens, 11527 Athens, Greece; [email protected] (K.V.); [email protected] (J.Z.) 3 Department of Preventive and Community Dentistry, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; [email protected] 4 Department of Orthodontics, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; [email protected] * Correspondence: effi[email protected] Abstract: Saliva, an essential oral secretion involved in protecting the oral cavity’s hard and soft tissues, is readily available and straightforward to collect. Recent studies have analyzed the sali- vary proteome in children and adolescents with extensive carious lesions to identify diagnostic and prognostic biomarkers. The current study aimed to investigate saliva’s diagnostic ability through proteomics to detect the potential differential expression of proteins specific for the occurrence of carious lesions. For this study, we performed bioinformatics and functional analysis of proteomic datasets, previously examined by our group, from samples of adolescents with regulated and unreg- ulated type 1 diabetes, as they compare with healthy controls. Among the differentially expressed Citation: Pappa, E.; Vougas, K.; proteins relevant to caries pathology, alpha-amylase 2B, beta-defensin 4A, BPI fold containing family Zoidakis, J.; Papaioannou, W.; Rahiotis, C.; Vastardis, H. -
Nuclear Organization and the Epigenetic Landscape of the Mus Musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected]
University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 8-9-2019 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Liu, Alicia, "Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome" (2019). Doctoral Dissertations. 2273. https://opencommons.uconn.edu/dissertations/2273 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia J. Liu, Ph.D. University of Connecticut, 2019 ABSTRACT X-linked imprinted genes have been hypothesized to contribute parent-of-origin influences on social cognition. A cluster of imprinted genes Xlr3b, Xlr4b, and Xlr4c, implicated in cognitive defects, are maternally expressed and paternally silent in the murine brain. These genes defy classic mechanisms of autosomal imprinting, suggesting a novel method of imprinted gene regulation. Using Xlr3b and Xlr4c as bait, this study uses 4C-Seq on neonatal whole brain of a 39,XO mouse model, to provide the first in-depth analysis of chromatin dynamics surrounding an imprinted locus on the X-chromosome. Significant differences in long-range contacts exist be- tween XM and XP monosomic samples. In addition, XM interaction profiles contact a greater number of genes linked to cognitive impairment, abnormality of the nervous system, and abnormality of higher mental function. This is not a pattern that is unique to the imprinted Xlr3/4 locus. Additional Alicia J. Liu - University of Connecticut - 2019 4C-Seq experiments show that other genes on the X-chromosome, implicated in intellectual disability and/or ASD, also produce more maternal contacts to other X-linked genes linked to cognitive impairment. -
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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. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
VU Research Portal
VU Research Portal Genetic architecture and behavioral analysis of attention and impulsivity Loos, M. 2012 document version Publisher's PDF, also known as Version of record Link to publication in VU Research Portal citation for published version (APA) Loos, M. (2012). Genetic architecture and behavioral analysis of attention and impulsivity. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. E-mail address: [email protected] Download date: 28. Sep. 2021 Genetic architecture and behavioral analysis of attention and impulsivity Maarten Loos 1 About the thesis The work described in this thesis was performed at the Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands. This work was in part funded by the Dutch Neuro-Bsik Mouse Phenomics consortium. The Neuro-Bsik Mouse Phenomics consortium was supported by grant BSIK 03053 from SenterNovem (The Netherlands). -
Identification of Ovarian Cancer Gene Expression Patterns Associated
ORIG I NAL AR TI CLE JOURNALSECTION IdentifiCATION OF Ovarian Cancer Gene Expression PATTERNS Associated WITH Disease Progression AND Mortality Md. Ali Hossain1,2 | Sheikh Muhammad Saiful Islam3 | Julian Quinn4 | Fazlul Huq5 | Mohammad Ali Moni4,5 1Dept OF CSE, ManarAT International UnivERSITY, Dhaka-1212, Bangladesh Ovarian CANCER (OC) IS A COMMON CAUSE OF DEATH FROM can- 2Dept OF CSE, Jahangirnagar UnivERSITY, CER AMONG WOMEN worldwide, SO THERE IS A PRESSING NEED SaVAR, Dhaka, Bangladesh TO IDENTIFY FACTORS INflUENCING MORTALITY. Much OC PATIENT 3Dept. OF Pharmacy, ManarAT International UnivERSITY, Dhaka-1212, Bangladesh CLINICAL DATA IS NOW PUBLICALLY ACCESSIBLE (including PATIENT 4Bone BIOLOGY divisions, Garvan Institute OF age, CANCER SITE STAGE AND SUBTYPE), AS ARE LARGE DATASETS OF Medical Research, SyDNEY, NSW 2010, OC GENE TRANSCRIPTION PROfiles. These HAVE ENABLED STUDIES AustrALIA CORRELATING OC PATIENT SURVIVAL WITH CLINICAL VARIABLES AND 5The UnivERSITY OF SyDNEY, SyDNEY Medical School, School OF Medical Science, WITH GENE EXPRESSION BUT IT IS NOT WELL UNDERSTOOD HOW THESE Discipline OF Biomedical Sciences, NSW TWO ASPECTS INTERACT TO INflUENCE MORTALITY. TO STUDY THIS 1825, AustrALIA WE INTEGRATED CLINICAL AND TISSUE TRANSCRIPTOME DATA FROM Correspondence THE SAME PATIENTS AVAILABLE FROM THE Broad Institute Cancer Dept OF CSE, Jahangirnagar UnivERSITY, Dhaka, Bangladesh Genome Atlas (TCGA) portal. WE INVESTIGATED OC mRNA The UnivERSITY OF SyDNEY, SyDNEY Medical EXPRESSION LEVELS (relativE TO NORMAL PATIENT TISSUE) OF 26 School, School OF Medical Science, Discipline OF Biomedical Sciences, NSW GENES ALREADY STRONGLY IMPLICATED IN OC, ASSESSED HOW THEIR 1825, AustrALIA EXPRESSION IN OC TISSUE PREDICTS PATIENT SURVIVAL THEN em- Email: al i :hossai n@manarat :ac:bd , mohammad :moni @sydney :eduau PLOYED CoX Proportional Hazard REGRESSION MODELS TO anal- YSE BOTH CLINICAL FACTORS AND TRANSCRIPTOMIC INFORMATION TO FUNDING INFORMATION DETERMINE RELATIVE RISK OF DEATH ASSOCIATED WITH EACH FACTOR. -
The Correlation of Keratin Expression with In-Vitro Epithelial Cell Line Differentiation
The correlation of keratin expression with in-vitro epithelial cell line differentiation Deeqo Aden Thesis submitted to the University of London for Degree of Master of Philosophy (MPhil) Supervisors: Professor Ian. C. Mackenzie Professor Farida Fortune Centre for Clinical and Diagnostic Oral Science Barts and The London School of Medicine and Dentistry Queen Mary, University of London 2009 Contents Content pages ……………………………………………………………………......2 Abstract………………………………………………………………………….........6 Acknowledgements and Declaration……………………………………………...…7 List of Figures…………………………………………………………………………8 List of Tables………………………………………………………………………...12 Abbreviations….………………………………………………………………..…...14 Chapter 1: Literature review 16 1.1 Structure and function of the Oral Mucosa……………..…………….…..............17 1.2 Maintenance of the oral cavity...……………………………………….................20 1.2.1 Environmental Factors which damage the Oral Mucosa………. ….…………..21 1.3 Structure and function of the Oral Mucosa ………………...….……….………...21 1.3.1 Skin Barrier Formation………………………………………………….……...22 1.4 Comparison of Oral Mucosa and Skin…………………………………….……...24 1.5 Developmental and Experimental Models used in Oral mucosa and Skin...……..28 1.6 Keratinocytes…………………………………………………….….....................29 1.6.1 Desmosomes…………………………………………….…...............................29 1.6.2 Hemidesmosomes……………………………………….…...............................30 1.6.3 Tight Junctions………………………….……………….…...............................32 1.6.4 Gap Junctions………………………….……………….….................................32 -
Supplementary Table 3: Genes Only Influenced By
Supplementary Table 3: Genes only influenced by X10 Illumina ID Gene ID Entrez Gene Name Fold change compared to vehicle 1810058M03RIK -1.104 2210008F06RIK 1.090 2310005E10RIK -1.175 2610016F04RIK 1.081 2610029K11RIK 1.130 381484 Gm5150 predicted gene 5150 -1.230 4833425P12RIK -1.127 4933412E12RIK -1.333 6030458P06RIK -1.131 6430550H21RIK 1.073 6530401D06RIK 1.229 9030607L17RIK -1.122 A330043C08RIK 1.113 A330043L12 1.054 A530092L01RIK -1.069 A630054D14 1.072 A630097D09RIK -1.102 AA409316 FAM83H family with sequence similarity 83, member H 1.142 AAAS AAAS achalasia, adrenocortical insufficiency, alacrimia 1.144 ACADL ACADL acyl-CoA dehydrogenase, long chain -1.135 ACOT1 ACOT1 acyl-CoA thioesterase 1 -1.191 ADAMTSL5 ADAMTSL5 ADAMTS-like 5 1.210 AFG3L2 AFG3L2 AFG3 ATPase family gene 3-like 2 (S. cerevisiae) 1.212 AI256775 RFESD Rieske (Fe-S) domain containing 1.134 Lipo1 (includes AI747699 others) lipase, member O2 -1.083 AKAP8L AKAP8L A kinase (PRKA) anchor protein 8-like -1.263 AKR7A5 -1.225 AMBP AMBP alpha-1-microglobulin/bikunin precursor 1.074 ANAPC2 ANAPC2 anaphase promoting complex subunit 2 -1.134 ANKRD1 ANKRD1 ankyrin repeat domain 1 (cardiac muscle) 1.314 APOA1 APOA1 apolipoprotein A-I -1.086 ARHGAP26 ARHGAP26 Rho GTPase activating protein 26 -1.083 ARL5A ARL5A ADP-ribosylation factor-like 5A -1.212 ARMC3 ARMC3 armadillo repeat containing 3 -1.077 ARPC5 ARPC5 actin related protein 2/3 complex, subunit 5, 16kDa -1.190 activating transcription factor 4 (tax-responsive enhancer element ATF4 ATF4 B67) 1.481 AU014645 NCBP1 nuclear cap -
Keratin-Pan Polyclonal Antibody Catalog # AP73512
苏州工业园区双圩路9号1幢 邮 编 : 215000 电 话 : 0512-88856768 Keratin-pan Polyclonal Antibody Catalog # AP73512 Specification Keratin-pan Polyclonal Antibody - Product info Application WB, IHC-P Primary Accession P35908 Reactivity Human, Mouse, Rat Host Rabbit Clonality Polyclonal Keratin-pan Polyclonal Antibody - Additional info Gene ID 3849 Other Names KRT2; KRT76; KRT3; KRT5; KRT6A; KRT6B; KRT6C; KRT71; KRT72; KRT73; KRT74; KRT75; KRT79; KRT8; KRT84; Keratin, type II cytoskeletal 2 epidermal; Keratin, type II cytoskeletal 2 oral; Keratin, type II cytoskeletal 3; Keratin, type II cytoskeletal 5;Keratin, type II cytoskeletal 6A; Keratin, type II cytoskeletal 6B; Keratin, type II cytoskeletal 6C; Keratin, type II cytoskeletal 71; Keratin, type II cytoskeletal 72; Keratin, type II cytoskeletal Western Blot analysis of Jurkat cells 73; Keratin, type II cytoskeletal 74; using Keratin-pan Polyclonal Antibody.. Secondary antibody was diluted at Dilution 1:20000 WB~~Western Blot: 1/500 - 1/2000. IHC-p: 1/100-1/300. ELISA: 1/20000. Not yet tested in other applications. Format Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide. Storage Conditions -20℃ Keratin-pan Polyclonal Antibody - Protein Information Immunohistochemical analysis of Name KRT2 paraffin-embedded human-mammary-cancer, antibody was Synonyms KRT2A, KRT2E diluted at 1:100 Function Probably contributes to terminal cornification (PubMed:<a href="http://www.uniprot.org/citations/1380918" target="_blank">1380918</a>). Associated with keratinocyte activation, proliferation and keratinization (PubMed:<a href="http://www.uniprot.org/citations/12598329" target="_blank">12598329</a>). Plays a role in the establishment of the epidermal barrier on plantar skin (By similarity). Tissue Location Expressed in the upper spinous and granular suprabasal layers of normal adult epidermal tissues from most body sites including thigh, breast nipple, foot sole, penile shaft and axilla. -
Biological Models of Colorectal Cancer Metastasis and Tumor Suppression
BIOLOGICAL MODELS OF COLORECTAL CANCER METASTASIS AND TUMOR SUPPRESSION PROVIDE MECHANISTIC INSIGHTS TO GUIDE PERSONALIZED CARE OF THE COLORECTAL CANCER PATIENT By Jesse Joshua Smith Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University In partial fulfillment of the requirements For the degree of DOCTOR OF PHILOSOPHY In Cell and Developmental Biology May, 2010 Nashville, Tennessee Approved: Professor R. Daniel Beauchamp Professor Robert J. Coffey Professor Mark deCaestecker Professor Ethan Lee Professor Steven K. Hanks Copyright 2010 by Jesse Joshua Smith All Rights Reserved To my grandparents, Gladys and A.L. Lyth and Juanda Ruth and J.E. Smith, fully supportive and never in doubt. To my amazing and enduring parents, Rebecca Lyth and Jesse E. Smith, Jr., always there for me. .my sure foundation. To Jeannine, Bill and Reagan for encouragement, patience, love, trust and a solid backing. To Granny George and Shawn for loving support and care. And To my beautiful wife, Kelly, My heart, soul and great love, Infinitely supportive, patient and graceful. ii ACKNOWLEDGEMENTS This work would not have been possible without the financial support of the Vanderbilt Medical Scientist Training Program through the Clinical and Translational Science Award (Clinical Investigator Track), the Society of University Surgeons-Ethicon Scholarship Fund and the Surgical Oncology T32 grant and the Vanderbilt Medical Center Section of Surgical Sciences and the Department of Surgical Oncology. I am especially indebted to Drs. R. Daniel Beauchamp, Chairman of the Section of Surgical Sciences, Dr. James R. Goldenring, Vice Chairman of Research of the Department of Surgery, Dr. Naji N. -
Identification of Differentially Expressed Genes and Pathways in Mice Exposed to Mixed Field Neutron/Photon Radiation Constantinos G
Broustas et al. BMC Genomics (2018) 19:504 https://doi.org/10.1186/s12864-018-4884-6 RESEARCHARTICLE Open Access Identification of differentially expressed genes and pathways in mice exposed to mixed field neutron/photon radiation Constantinos G. Broustas1* , Andrew D. Harken2, Guy Garty2 and Sally A. Amundson1 Abstract Background: Radiation exposure due to the detonation of an improvised nuclear device remains a major security concern. Radiation from such a device involves a combination of photons and neutrons. Although photons will make the greater contribution to the total dose, neutrons will certainly have an impact on the severity of the exposure as they have high relative biological effectiveness. Results: We investigated the gene expression signatures in the blood of mice exposed to 3 Gy x-rays, 0.75 Gy of neutrons, or to mixed field photon/neutron with the neutron fraction contributing 5, 15%, or 25% of a total 3 Gy radiation dose. Gene ontology and pathway analysis revealed that genes involved in protein ubiquitination pathways were significantly overrepresented in all radiation doses and qualities. On the other hand, eukaryotic initiation factor 2 (EIF2) signaling pathway was identified as one of the top 10 ranked canonical pathways in neutron, but not pure x-ray, exposures. In addition, the related mTOR and regulation of EIF4/p70S6K pathways were also significantly underrepresented in the exposures with a neutron component, but not in x-ray radiation. The majority of the changed genes in these pathways belonged to the ribosome biogenesis and translation machinery and included several translation initiation factors (e.g. Eif2ak4, Eif3f), as well as 40S and 60S ribosomal subunits (e.g.