Rabbit Genome Analysis Reveals a Polygenic Basis for Phenotypic Change During Domestication
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The Rise and Fall of the Bovine Corpus Luteum
University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Spring 5-6-2017 The Rise and Fall of the Bovine Corpus Luteum Heather Talbott University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Biochemistry Commons, Molecular Biology Commons, and the Obstetrics and Gynecology Commons Recommended Citation Talbott, Heather, "The Rise and Fall of the Bovine Corpus Luteum" (2017). Theses & Dissertations. 207. https://digitalcommons.unmc.edu/etd/207 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. THE RISE AND FALL OF THE BOVINE CORPUS LUTEUM by Heather Talbott A DISSERTATION Presented to the Faculty of the University of Nebraska Graduate College in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Biochemistry and Molecular Biology Graduate Program Under the Supervision of Professor John S. Davis University of Nebraska Medical Center Omaha, Nebraska May, 2017 Supervisory Committee: Carol A. Casey, Ph.D. Andrea S. Cupp, Ph.D. Parmender P. Mehta, Ph.D. Justin L. Mott, Ph.D. i ACKNOWLEDGEMENTS This dissertation was supported by the Agriculture and Food Research Initiative from the USDA National Institute of Food and Agriculture (NIFA) Pre-doctoral award; University of Nebraska Medical Center Graduate Student Assistantship; University of Nebraska Medical Center Exceptional Incoming Graduate Student Award; the VA Nebraska-Western Iowa Health Care System Department of Veterans Affairs; and The Olson Center for Women’s Health, Department of Obstetrics and Gynecology, Nebraska Medical Center. -
Table 2. Functional Classification of Genes Differentially Regulated After HOXB4 Inactivation in HSC/Hpcs
Table 2. Functional classification of genes differentially regulated after HOXB4 inactivation in HSC/HPCs Symbol Gene description Fold-change (mean ± SD) Signal transduction Adam8 A disintegrin and metalloprotease domain 8 1.91 ± 0.51 Arl4 ADP-ribosylation factor-like 4 - 1.80 ± 0.40 Dusp6 Dual specificity phosphatase 6 (Mkp3) - 2.30 ± 0.46 Ksr1 Kinase suppressor of ras 1 1.92 ± 0.42 Lyst Lysosomal trafficking regulator 1.89 ± 0.34 Mapk1ip1 Mitogen activated protein kinase 1 interacting protein 1 1.84 ± 0.22 Narf* Nuclear prelamin A recognition factor 2.12 ± 0.04 Plekha2 Pleckstrin homology domain-containing. family A. (phosphoinosite 2.15 ± 0.22 binding specific) member 2 Ptp4a2 Protein tyrosine phosphatase 4a2 - 2.04 ± 0.94 Rasa2* RAS p21 activator protein 2 - 2.80 ± 0.13 Rassf4 RAS association (RalGDS/AF-6) domain family 4 3.44 ± 2.56 Rgs18 Regulator of G-protein signaling - 1.93 ± 0.57 Rrad Ras-related associated with diabetes 1.81 ± 0.73 Sh3kbp1 SH3 domain kinase bindings protein 1 - 2.19 ± 0.53 Senp2 SUMO/sentrin specific protease 2 - 1.97 ± 0.49 Socs2 Suppressor of cytokine signaling 2 - 2.82 ± 0.85 Socs5 Suppressor of cytokine signaling 5 2.13 ± 0.08 Socs6 Suppressor of cytokine signaling 6 - 2.18 ± 0.38 Spry1 Sprouty 1 - 2.69 ± 0.19 Sos1 Son of sevenless homolog 1 (Drosophila) 2.16 ± 0.71 Ywhag 3-monooxygenase/tryptophan 5- monooxygenase activation protein. - 2.37 ± 1.42 gamma polypeptide Zfyve21 Zinc finger. FYVE domain containing 21 1.93 ± 0.57 Ligands and receptors Bambi BMP and activin membrane-bound inhibitor - 2.94 ± 0.62 -
Cisplatin and Phenanthriplatin Modulate Long-Noncoding
www.nature.com/scientificreports OPEN Cisplatin and phenanthriplatin modulate long‑noncoding RNA expression in A549 and IMR90 cells revealing regulation of microRNAs, Wnt/β‑catenin and TGF‑β signaling Jerry D. Monroe1,2, Satya A. Moolani2,3, Elvin N. Irihamye2,4, Katheryn E. Lett1, Michael D. Hebert1, Yann Gibert1* & Michael E. Smith2* The monofunctional platinum(II) complex, phenanthriplatin, acts by blocking transcription, but its regulatory efects on long‑noncoding RNAs (lncRNAs) have not been elucidated relative to traditional platinum‑based chemotherapeutics, e.g., cisplatin. Here, we treated A549 non‑small cell lung cancer and IMR90 lung fbroblast cells for 24 h with either cisplatin, phenanthriplatin or a solvent control, and then performed microarray analysis to identify regulated lncRNAs. RNA22 v2 microRNA software was subsequently used to identify microRNAs (miRNAs) that might be suppressed by the most regulated lncRNAs. We found that miR‑25‑5p, ‑30a‑3p, ‑138‑5p, ‑149‑3p, ‑185‑5p, ‑378j, ‑608, ‑650, ‑708‑5p, ‑1253, ‑1254, ‑4458, and ‑4516, were predicted to target the cisplatin upregulated lncRNAs, IMMP2L‑1, CBR3‑1 and ATAD2B‑5, and the phenanthriplatin downregulated lncRNAs, AGO2‑1, COX7A1‑2 and SLC26A3‑1. Then, we used qRT‑PCR to measure the expression of miR‑25‑5p, ‑378j, ‑4516 (A549) and miR‑149‑3p, ‑608, and ‑4458 (IMR90) to identify distinct signaling efects associated with cisplatin and phenanthriplatin. The signaling pathways associated with these miRNAs suggests that phenanthriplatin may modulate Wnt/β‑catenin and TGF‑β signaling through the MAPK/ ERK and PTEN/AKT pathways diferently than cisplatin. Further, as some of these miRNAs may be subject to dissimilar lncRNA targeting in A549 and IMR90 cells, the monofunctional complex may not cause toxicity in normal lung compared to cancer cells by acting through distinct lncRNA and miRNA networks. -
Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice
Loyola University Chicago Loyola eCommons Biology: Faculty Publications and Other Works Faculty Publications 2013 Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice Mihaela Palicev Gunter P. Wagner James P. Noonan Benedikt Hallgrimsson James M. Cheverud Loyola University Chicago, [email protected] Follow this and additional works at: https://ecommons.luc.edu/biology_facpubs Part of the Biology Commons Recommended Citation Palicev, M, GP Wagner, JP Noonan, B Hallgrimsson, and JM Cheverud. "Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice." Genome Biology and Evolution 5(10), 2013. This Article is brought to you for free and open access by the Faculty Publications at Loyola eCommons. It has been accepted for inclusion in Biology: Faculty Publications and Other Works by an authorized administrator of Loyola eCommons. For more information, please contact [email protected]. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. © Palicev et al., 2013. GBE Genomic Correlates of Relationship QTL Involved in Fore- versus Hind Limb Divergence in Mice Mihaela Pavlicev1,2,*, Gu¨ nter P. Wagner3, James P. Noonan4, Benedikt Hallgrı´msson5,and James M. Cheverud6 1Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria 2Department of Pediatrics, Cincinnati Children‘s Hospital Medical Center, Cincinnati, Ohio 3Yale Systems Biology Institute and Department of Ecology and Evolutionary Biology, Yale University 4Department of Genetics, Yale University School of Medicine 5Department of Cell Biology and Anatomy, The McCaig Institute for Bone and Joint Health and the Alberta Children’s Hospital Research Institute for Child and Maternal Health, University of Calgary, Calgary, Canada 6Department of Anatomy and Neurobiology, Washington University *Corresponding author: E-mail: [email protected]. -
A Conserved Gene Family Encodes Transmembrane Proteins with Fibronectin, Immunoglobulin and Leucine-Rich Repeat Domains (FIGLER) Delicia L
A conserved gene family encodes transmembrane proteins with fibronectin, immunoglobulin and leucine-rich repeat domains (FIGLER) Delicia L. Munfus, University of Alabama at Birmingham Christopher L. Haga, University of Alabama at Birmingham Peter D. Burrows, University of Alabama at Birmingham Max Cooper, Emory University Journal Title: BMC Biology Volume: Volume 5, Number 1 Publisher: BioMed Central | 2007-09-13, Pages 36-36 Type of Work: Article | Final Publisher PDF Publisher DOI: 10.1186/1741-7007-5-36 Permanent URL: https://pid.emory.edu/ark:/25593/rqdhh Final published version: http://dx.doi.org/10.1186/1741-7007-5-36 Copyright information: © 2007 Munfus et al; licensee BioMed Central Ltd. This is an Open Access work distributed under the terms of the Creative Commons Attribution 2.0 Generic License (http://creativecommons.org/licenses/by/2.0/). Accessed October 6, 2021 6:19 AM EDT BMC Biology BioMed Central Research article Open Access A conserved gene family encodes transmembrane proteins with fibronectin, immunoglobulin and leucine-rich repeat domains (FIGLER) Delicia L Munfus†1,2, Christopher L Haga†1,2, Peter D Burrows1,2,3 and Max D Cooper*1,2,4,5 Address: 1Division of Developmental and Clinical Immunology, University of Alabama at Birmingham, Birmingham, AL 35294-3300, USA, 2Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294-3300, USA, 3Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294-3300,, 4Department of Medicine, University of Alabama at Birmingham, Birmingham, -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
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 -
Genetic Drivers of Pancreatic Islet Function
| INVESTIGATION Genetic Drivers of Pancreatic Islet Function Mark P. Keller,*,1 Daniel M. Gatti,†,1 Kathryn L. Schueler,* Mary E. Rabaglia,* Donnie S. Stapleton,* Petr Simecek,† Matthew Vincent,† Sadie Allen,‡ Aimee Teo Broman,§ Rhonda Bacher,§ Christina Kendziorski,§ Karl W. Broman,§ Brian S. Yandell,** Gary A. Churchill,†,2 and Alan D. Attie*,2 *Department of Biochemistry, §Department of Biostatistics and Medical Informatics, and **Department of Horticulture, University of Wisconsin–Madison, Wisconsin 53706-1544, †The Jackson Laboratory, Bar Harbor, Maine 06409, and ‡Maine School of Science and Mathematics, Limestone, Maine 06409, ORCID IDs: 0000-0002-7405-5552 (M.P.K.); 0000-0002-4914-6671 (K.W.B.); 0000-0001-9190-9284 (G.A.C.); 0000-0002-0568-2261 (A.D.A.) ABSTRACT The majority of gene loci that have been associated with type 2 diabetes play a role in pancreatic islet function. To evaluate the role of islet gene expression in the etiology of diabetes, we sensitized a genetically diverse mouse population with a Western diet high in fat (45% kcal) and sucrose (34%) and carried out genome-wide association mapping of diabetes-related phenotypes. We quantified mRNA abundance in the islets and identified 18,820 expression QTL. We applied mediation analysis to identify candidate causal driver genes at loci that affect the abundance of numerous transcripts. These include two genes previously associated with monogenic diabetes (PDX1 and HNF4A), as well as three genes with nominal association with diabetes-related traits in humans (FAM83E, IL6ST, and SAT2). We grouped transcripts into gene modules and mapped regulatory loci for modules enriched with transcripts specific for a-cells, and another specific for d-cells. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Abstracts from the 50Th European Society of Human Genetics Conference: Electronic Posters
European Journal of Human Genetics (2019) 26:820–1023 https://doi.org/10.1038/s41431-018-0248-6 ABSTRACT Abstracts from the 50th European Society of Human Genetics Conference: Electronic Posters Copenhagen, Denmark, May 27–30, 2017 Published online: 1 October 2018 © European Society of Human Genetics 2018 The ESHG 2017 marks the 50th Anniversary of the first ESHG Conference which took place in Copenhagen in 1967. Additional information about the event may be found on the conference website: https://2017.eshg.org/ Sponsorship: Publication of this supplement is sponsored by the European Society of Human Genetics. All authors were asked to address any potential bias in their abstract and to declare any competing financial interests. These disclosures are listed at the end of each abstract. Contributions of up to EUR 10 000 (ten thousand euros, or equivalent value in kind) per year per company are considered "modest". Contributions above EUR 10 000 per year are considered "significant". 1234567890();,: 1234567890();,: E-P01 Reproductive Genetics/Prenatal and fetal echocardiography. The molecular karyotyping Genetics revealed a gain in 8p11.22-p23.1 region with a size of 27.2 Mb containing 122 OMIM gene and a loss in 8p23.1- E-P01.02 p23.3 region with a size of 6.8 Mb containing 15 OMIM Prenatal diagnosis in a case of 8p inverted gene. The findings were correlated with 8p inverted dupli- duplication deletion syndrome cation deletion syndrome. Conclusion: Our study empha- sizes the importance of using additional molecular O¨. Kırbıyık, K. M. Erdog˘an, O¨.O¨zer Kaya, B. O¨zyılmaz, cytogenetic methods in clinical follow-up of complex Y. -
REVIEW ARTICLE the Genetics of Autism
REVIEW ARTICLE The Genetics of Autism Rebecca Muhle, BA*; Stephanie V. Trentacoste, BA*; and Isabelle Rapin, MD‡ ABSTRACT. Autism is a complex, behaviorally de- tribution of a few well characterized X-linked disorders, fined, static disorder of the immature brain that is of male-to-male transmission in a number of families rules great concern to the practicing pediatrician because of an out X-linkage as the prevailing mode of inheritance. The astonishing 556% reported increase in pediatric preva- recurrence rate in siblings of affected children is ϳ2% to lence between 1991 and 1997, to a prevalence higher than 8%, much higher than the prevalence rate in the general that of spina bifida, cancer, or Down syndrome. This population but much lower than in single-gene diseases. jump is probably attributable to heightened awareness Twin studies reported 60% concordance for classic au- and changing diagnostic criteria rather than to new en- tism in monozygotic (MZ) twins versus 0 in dizygotic vironmental influences. Autism is not a disease but a (DZ) twins, the higher MZ concordance attesting to ge- syndrome with multiple nongenetic and genetic causes. netic inheritance as the predominant causative agent. By autism (the autistic spectrum disorders [ASDs]), we Reevaluation for a broader autistic phenotype that in- mean the wide spectrum of developmental disorders cluded communication and social disorders increased characterized by impairments in 3 behavioral domains: 1) concordance remarkably from 60% to 92% in MZ twins social interaction; 2) language, communication, and and from 0% to 10% in DZ pairs. This suggests that imaginative play; and 3) range of interests and activities. -
Histone H3k27me3 Demethylases Regulate Human Th17 Cell Development and Effector Functions by Impacting on Metabolism
Histone H3K27me3 demethylases regulate human Th17 cell development and effector functions by impacting on metabolism Adam P. Cribbsa,1, Stefan Terlecki-Zaniewicza, Martin Philpotta, Jeroen Baardmanb, David Ahernc, Morten Lindowd, Susanna Obadd, Henrik Oerumd, Brante Sampeye, Palwinder K. Manderf, Henry Penng, Paul Wordswortha, Paul Bownessa, Menno de Wintherh, Rab K. Prinjhaf, Marc Feldmanna,c,1, and Udo Oppermanna,i,j,k,1 aBotnar Research Center, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute for Health Research Oxford Biomedical Research Unit, University of Oxford, OX3 7LD Oxford, United Kingdom; bExperimental Vascular Biology, Department of Medical Biochemistry, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centres, University of Amsterdam, 1105AZ Amsterdam, The Netherlands; cKennedy Institute of Rheumatology, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute for Health Research Oxford Biomedical Research Unit, University of Oxford, OX3 7FY Oxford, United Kingdom; dRoche Innovation Center Copenhagen A/S, DK 2970 Hørsholm, Denmark; eMetabolon Inc., Durham, NC 27713; fEpinova Discovery Performance Unit, Medicines Research Centre, GlaxoSmithKline R&D, SG1 2NY Stevenage, United Kingdom; gArthritis Centre, Northwick Park Hospital, HA13UJ Harrow, United Kingdom; hInstitute for Cardiovascular Prevention, Ludwig Maximilians University, 80336 Munich, Germany; iStructural Genomics Consortium, University of Oxford, OX3 7DQ Oxford,