Effect of Variation in Ovine WFIKKN2 on Growth Traits
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A University of Sussex Phd Thesis Available Online Via
A University of Sussex PhD thesis Available online via Sussex Research Online: http://sro.sussex.ac.uk/ This thesis is protected by copyright which belongs to the author. This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the Author The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the Author When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given Please visit Sussex Research Online for more information and further details Exploring interactions between Epstein- Barr virus transcription factor Zta and The Human Genome By IJIEL BARAK NARANJO PEREZ FERNANDEZ A Thesis submitted for the degree of Doctor of Philosophy University Of Sussex School of Life Sciences September 2017 ii I hereby declare that this thesis has not been and will not be, submitted in whole or in part to another University for the award of any other degree. Signature:…………………………..…………………………..……………………… iii Acknowledgements I want to thank Professor Alison J Sinclair for her guidance, mentoring and above all continuous patience. During the time that I’ve been part of her lab I’ve appreciated her wisdom as an educator her foresight as a scientist and tremendous love as a parent. I wish that someday soon rather than later her teachings are reflected in my person and career; hopefully inspiring others like me. Thanks to Professor Michelle West for her help whenever needed or offered. Her sincere and honest feedback, something that I only learned to appreciate after my personal scientific insight was developed. -
Revealing the Role of the Human Blood Plasma Proteome in Obesity Using Genetic Drivers
ARTICLE https://doi.org/10.1038/s41467-021-21542-4 OPEN Revealing the role of the human blood plasma proteome in obesity using genetic drivers Shaza B. Zaghlool 1,11, Sapna Sharma2,3,4,11, Megan Molnar 2,3, Pamela R. Matías-García2,3,5, Mohamed A. Elhadad 2,3,6, Melanie Waldenberger 2,3,7, Annette Peters 3,4,7, Wolfgang Rathmann4,8, ✉ Johannes Graumann 9,10, Christian Gieger2,3,4, Harald Grallert2,3,4,12 & Karsten Suhre 1,12 Blood circulating proteins are confounded readouts of the biological processes that occur in 1234567890():,; different tissues and organs. Many proteins have been linked to complex disorders and are also under substantial genetic control. Here, we investigate the associations between over 1000 blood circulating proteins and body mass index (BMI) in three studies including over 4600 participants. We show that BMI is associated with widespread changes in the plasma proteome. We observe 152 replicated protein associations with BMI. 24 proteins also associate with a genome-wide polygenic score (GPS) for BMI. These proteins are involved in lipid metabolism and inflammatory pathways impacting clinically relevant pathways of adiposity. Mendelian randomization suggests a bi-directional causal relationship of BMI with LEPR/LEP, IGFBP1, and WFIKKN2, a protein-to-BMI relationship for AGER, DPT, and CTSA, and a BMI-to-protein relationship for another 21 proteins. Combined with animal model and tissue-specific gene expression data, our findings suggest potential therapeutic targets fur- ther elucidating the role of these proteins in obesity associated pathologies. 1 Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar. -
Circulating Protein Signatures and Causal Candidates for Type 2 Diabetes
Diabetes Volume 69, August 2020 1843 Circulating Protein Signatures and Causal Candidates for Type 2 Diabetes Valborg Gudmundsdottir,1,2 Shaza B. Zaghlool,3 Valur Emilsson,2,4 Thor Aspelund,1,2 Marjan Ilkov,2 Elias F. Gudmundsson,2 Stefan M. Jonsson,1 Nuno R. Zilhão,2 John R. Lamb,5 Karsten Suhre,3 Lori L. Jennings,6 and Vilmundur Gudnason1,2 Diabetes 2020;69:1843–1853 | https://doi.org/10.2337/db19-1070 GENETICS/GENOMES/PROTEOMICS/METABOLOMICS The increasing prevalence of type 2 diabetes poses More than 240 genetic loci have been associated with type a major challenge to societies worldwide. Blood-based 2 diabetes in genome-wide association studies (GWAS) factors like serum proteins are in contact with every (1–5), and blood-based biomarker candidates for type organ in the body to mediate global homeostasis and 2 diabetes have begun to emerge, perhaps most notably may thus directly regulate complex processes such as the branched-chain amino acids (BCAAs) (6,7), the catab- aging and the development of common chronic dis- olism of which has recently been proposed as a novel eases. We applied a data-driven proteomics approach, treatment target for obesity-associated insulin resistance measuring serum levels of 4,137 proteins in 5,438 elderly (8). However, only fragmentary data are available for Icelanders, and identified 536 proteins associated with serum protein links to type 2 diabetes (9). While few prevalent and/or incident type 2 diabetes. We validated biomarker candidates provide much improvement in a subset of the observed associations in an independent type 2 diabetes prediction over conventional measures case-control study of type 2 diabetes. -
GDF8) and GDF11
JBC Papers in Press. Published on February 27, 2019 as Manuscript RA118.005831 The latest version is at http://www.jbc.org/cgi/doi/10.1074/jbc.RA118.005831 WFIKKN2 follistatin domain structure Crystal structure of the WFIKKN2 follistatin domain reveals insight into how it inhibits growth differentiation factor 8 (GDF8) and GDF11 Jason C. McCoy1, Ryan G. Walker1,#, Nathan H. Murray1,$, Thomas B. Thompson1,*. 1From the department of Molecular Genetics, Biochemistry and Microbiology, University of Cincinnati, College of Medicine, Cincinnati, Ohio 45267. Running Title: WFIKKN2 Follistatin domain structure. #Present address: Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, MA 02138 Downloaded from $Present address: Department of Biochemistry, University of Wisconsin–Madison, Madison, WI 53706, USA *To whom correspondence should be addressed: Thomas B. Thompson: Department of Molecular Genetics, Biochemistry, and Microbiology, University of Cincinnati, Cincinnati OH 45267. http://www.jbc.org/ [email protected]; Tel. (513)-558-4517 Keywords: GDF8, Myostatin, GDF11, WFIKKN, follistatin, antagonism, X-ray crystallography, structural biology, tissue homeostasis, muscle development at University of Cincinnati/Medical Center Libraries on March 7, 2019 Abstract follistatin and FSTL3 revealed differences in both Growth differentiation factor 8 (GDF8), the FSD structure and position of residues within a.k.a. myostatin, and GDF11 are closely related the domain that are important for ligand members of the transforming growth factor β (TGF- antagonism. Taken together, our results indicate β) family. GDF8 strongly and negatively regulates that both WFIKKN and follistatin utilize their FSDs skeletal muscle growth, and GDF11 has been to block the type II receptor but do so via different implicated in various age-related pathologies such binding interactions. -
Robles JTO Supplemental Digital Content 1
Supplementary Materials An Integrated Prognostic Classifier for Stage I Lung Adenocarcinoma based on mRNA, microRNA and DNA Methylation Biomarkers Ana I. Robles1, Eri Arai2, Ewy A. Mathé1, Hirokazu Okayama1, Aaron Schetter1, Derek Brown1, David Petersen3, Elise D. Bowman1, Rintaro Noro1, Judith A. Welsh1, Daniel C. Edelman3, Holly S. Stevenson3, Yonghong Wang3, Naoto Tsuchiya4, Takashi Kohno4, Vidar Skaug5, Steen Mollerup5, Aage Haugen5, Paul S. Meltzer3, Jun Yokota6, Yae Kanai2 and Curtis C. Harris1 Affiliations: 1Laboratory of Human Carcinogenesis, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 2Division of Molecular Pathology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 3Genetics Branch, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 4Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 5Department of Chemical and Biological Working Environment, National Institute of Occupational Health, NO-0033 Oslo, Norway. 6Genomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), 08916 Badalona (Barcelona), Spain. List of Supplementary Materials Supplementary Materials and Methods Fig. S1. Hierarchical clustering of based on CpG sites differentially-methylated in Stage I ADC compared to non-tumor adjacent tissues. Fig. S2. Confirmatory pyrosequencing analysis of DNA methylation at the HOXA9 locus in Stage I ADC from a subset of the NCI microarray cohort. 1 Fig. S3. Methylation Beta-values for HOXA9 probe cg26521404 in Stage I ADC samples from Japan. Fig. S4. Kaplan-Meier analysis of HOXA9 promoter methylation in a published cohort of Stage I lung ADC (J Clin Oncol 2013;31(32):4140-7). Fig. S5. Kaplan-Meier analysis of a combined prognostic biomarker in Stage I lung ADC. -
Investigating the Effect of Chronic Activation of AMP-Activated Protein
Investigating the effect of chronic activation of AMP-activated protein kinase in vivo Alice Pollard CASE Studentship Award A thesis submitted to Imperial College London for the degree of Doctor of Philosophy September 2017 Cellular Stress Group Medical Research Council London Institute of Medical Sciences Imperial College London 1 Declaration I declare that the work presented in this thesis is my own, and that where information has been derived from the published or unpublished work of others it has been acknowledged in the text and in the list of references. This work has not been submitted to any other university or institute of tertiary education in any form. Alice Pollard The copyright of this thesis rests with the author and is made available under a Creative Commons Attribution Non-Commercial No Derivatives license. Researchers are free to copy, distribute or transmit the thesis on the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the license terms of this work. 2 Abstract The prevalence of obesity and associated diseases has increased significantly in the last decade, and is now a major public health concern. It is a significant risk factor for many diseases, including cardiovascular disease (CVD) and type 2 diabetes. Characterised by excess lipid accumulation in the white adipose tissue, which drives many associated pathologies, obesity is caused by chronic, whole-organism energy imbalance; when caloric intake exceeds energy expenditure. Whilst lifestyle changes remain the most effective treatment for obesity and the associated metabolic syndrome, incidence continues to rise, particularly amongst children, placing significant strain on healthcare systems, as well as financial burden. -
Analysis of Genetic Association Using Hierarchical Clustering and Cluster Validation Indices
Analysis of genetic association using Hierarchical Clustering and Cluster Validation Indices Inti A. Pagnuco1,2,3, Juan I. Pastore1,2,3, Guillermo Abras1, Marcel Brun1,2, and Virginia L. Ballarin1 1Digital Image Processing Lab, ICyTE, UNMdP, 2Department of Mathematics, School of Engineering, UNMdP, 3CONICET Abstract It is usually assumed that co-expressed genes suggest co-regulation in the underlying regulatory network. Determining sets of co-expressed genes is an important task, based on some criteria of similarity. This task is usually performed by clustering algorithms, where the genes are clustered into meaningful groups based on their expression values in a set of experiment. In this work we propose a method to find sets of co-expressed genes, based on cluster validation indices as a measure of similarity for individual gene groups, and a combination of variants of hierarchical clustering to generate the candidate groups. We evaluated its ability to retrieve significant sets on simulated correlated and real genomics data, where the performance is measured based on its detection ability of co-regulated sets against a full search. Additionally, we analyzed the quality of the best ranked groups using an online bioinformatics tool that provides network information for the selected genes. 1 Introduction approach, while still providing, as shown in the results, a New technologies for genomic analysis measure the good approach to the optimal results. expression of thousand of genes simultaneously. An The Matlab code is available from https://subversion. important goal in some studies is to find sets of assembla.com/svn/pdilab-gaa/tags/Tag.1.1.1 co-expressed genes, to study co-regulation and biological In the next section we present a) an introduction to functions. -
The Pdx1 Bound Swi/Snf Chromatin Remodeling Complex Regulates Pancreatic Progenitor Cell Proliferation and Mature Islet Β Cell
Page 1 of 125 Diabetes The Pdx1 bound Swi/Snf chromatin remodeling complex regulates pancreatic progenitor cell proliferation and mature islet β cell function Jason M. Spaeth1,2, Jin-Hua Liu1, Daniel Peters3, Min Guo1, Anna B. Osipovich1, Fardin Mohammadi3, Nilotpal Roy4, Anil Bhushan4, Mark A. Magnuson1, Matthias Hebrok4, Christopher V. E. Wright3, Roland Stein1,5 1 Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 2 Present address: Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 3 Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 4 Diabetes Center, Department of Medicine, UCSF, San Francisco, California 5 Corresponding author: [email protected]; (615)322-7026 1 Diabetes Publish Ahead of Print, published online June 14, 2019 Diabetes Page 2 of 125 Abstract Transcription factors positively and/or negatively impact gene expression by recruiting coregulatory factors, which interact through protein-protein binding. Here we demonstrate that mouse pancreas size and islet β cell function are controlled by the ATP-dependent Swi/Snf chromatin remodeling coregulatory complex that physically associates with Pdx1, a diabetes- linked transcription factor essential to pancreatic morphogenesis and adult islet-cell function and maintenance. Early embryonic deletion of just the Swi/Snf Brg1 ATPase subunit reduced multipotent pancreatic progenitor cell proliferation and resulted in pancreas hypoplasia. In contrast, removal of both Swi/Snf ATPase subunits, Brg1 and Brm, was necessary to compromise adult islet β cell activity, which included whole animal glucose intolerance, hyperglycemia and impaired insulin secretion. Notably, lineage-tracing analysis revealed Swi/Snf-deficient β cells lost the ability to produce the mRNAs for insulin and other key metabolic genes without effecting the expression of many essential islet-enriched transcription factors. -
Integrated Identification of Key Genes and Pathways in Alzheimer's Disease Via Comprehensive Bioinformatical Analyses
Yan et al. Hereditas (2019) 156:25 https://doi.org/10.1186/s41065-019-0101-0 RESEARCH Open Access Integrated identification of key genes and pathways in Alzheimer’s disease via comprehensive bioinformatical analyses Tingting Yan* , Feng Ding and Yan Zhao Abstract Background: Alzheimer’s disease (AD) is known to be caused by multiple factors, meanwhile the pathogenic mechanism and development of AD associate closely with genetic factors. Existing understanding of the molecular mechanisms underlying AD remains incomplete. Methods: Gene expression data (GSE48350) derived from post-modern brain was extracted from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were derived from hippocampus and entorhinal cortex regions between AD patients and healthy controls and detected via Morpheus. Functional enrichment analyses, including Gene Ontology (GO) and pathway analyses of DEGs, were performed via Cytoscape and followed by the construction of protein-protein interaction (PPI) network. Hub proteins were screened using the criteria: nodes degree≥10 (for hippocampus tissues) and ≥ 8 (for entorhinal cortex tissues). Molecular Complex Detection (MCODE) was used to filtrate the important clusters. University of California Santa Cruz (UCSC) and the database of RNA-binding protein specificities (RBPDB) were employed to identify the RNA-binding proteins of the long non-coding RNA (lncRNA). Results: 251 & 74 genes were identified as DEGs, which consisted of 56 & 16 up-regulated genes and 195 & 58 down-regulated genes in hippocampus and entorhinal cortex, respectively. Biological analyses demonstrated that the biological processes and pathways related to memory, transmembrane transport, synaptic transmission, neuron survival, drug metabolism, ion homeostasis and signal transduction were enriched in these genes. -
Family-Based Whole Exome Sequencing of Atopic Dermatitis Complicated with Cataracts
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 35), pp: 59446-59454 Research Paper Family-based whole exome sequencing of atopic dermatitis complicated with cataracts Wenxin Luo1,*, Wangdong Xu2,*, Lin Xia3, Dan Xie3, Lin Wang4, Zaipei Guo5, Yue Cheng1, Yi Liu2 and Weimin Li1 1Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China 2Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China 3State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China 4Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China 5Department of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China *Wenxin Luo and Wangdong Xu contributed equally to this work, and should be considered as the co-first author Correspondence to: Weimin Li, email: [email protected] Keywords: atopic dermatitis, cataracts, mutation Received: November 07, 2016 Accepted: June 02, 2017 Published: July 31, 2017 Copyright: Luo 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 Background: Atopic dermatitis (AD) is a common skin disorder with elevated prevalence. Cataract induced by AD rarely occurs in adolescent and young adult patients, which is also called atopic cataract. Using whole exome sequencing, we aimed to explore genetic alterations among AD and atopic cataract. Result: We recruited a 19 year-old Chinese male with AD accompanied with cataracts, his father with AD and his mother without AD or cataract. -
Identification of Novel Regulatory Genes in Acetaminophen
IDENTIFICATION OF NOVEL REGULATORY GENES IN ACETAMINOPHEN INDUCED HEPATOCYTE TOXICITY BY A GENOME-WIDE CRISPR/CAS9 SCREEN A THESIS IN Cell Biology and Biophysics and Bioinformatics Presented to the Faculty of the University of Missouri-Kansas City in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY By KATHERINE ANNE SHORTT B.S, Indiana University, Bloomington, 2011 M.S, University of Missouri, Kansas City, 2014 Kansas City, Missouri 2018 © 2018 Katherine Shortt All Rights Reserved IDENTIFICATION OF NOVEL REGULATORY GENES IN ACETAMINOPHEN INDUCED HEPATOCYTE TOXICITY BY A GENOME-WIDE CRISPR/CAS9 SCREEN Katherine Anne Shortt, Candidate for the Doctor of Philosophy degree, University of Missouri-Kansas City, 2018 ABSTRACT Acetaminophen (APAP) is a commonly used analgesic responsible for over 56,000 overdose-related emergency room visits annually. A long asymptomatic period and limited treatment options result in a high rate of liver failure, generally resulting in either organ transplant or mortality. The underlying molecular mechanisms of injury are not well understood and effective therapy is limited. Identification of previously unknown genetic risk factors would provide new mechanistic insights and new therapeutic targets for APAP induced hepatocyte toxicity or liver injury. This study used a genome-wide CRISPR/Cas9 screen to evaluate genes that are protective against or cause susceptibility to APAP-induced liver injury. HuH7 human hepatocellular carcinoma cells containing CRISPR/Cas9 gene knockouts were treated with 15mM APAP for 30 minutes to 4 days. A gene expression profile was developed based on the 1) top screening hits, 2) overlap with gene expression data of APAP overdosed human patients, and 3) biological interpretation including assessment of known and suspected iii APAP-associated genes and their therapeutic potential, predicted affected biological pathways, and functionally validated candidate genes. -
Surveywfikkn1 and WFIKKN2: ¬タワcompanion¬タン Proteins
Cytokine & Growth Factor Reviews 32 (2016) 75–84 Contents lists available at ScienceDirect Cytokine & Growth Factor Reviews journal homepage: www.elsevier.com/locate/cytogfr Survey WFIKKN1 and WFIKKN2: “Companion” proteins regulating TGFB activity a, b,c Olivier Monestier *, Véronique Blanquet a INRA, UR1037 Laboratory of Fish Physiology and Genomic, Growth and Flesh Quality Group, Campus de Beaulieu, 35000 Rennes, France b INRA, UMR1061 Unité de Génétique Moléculaire Animale, 87060 Limoges, France c Université de Limoges, 87060 Limoges, France A R T I C L E I N F O A B S T R A C T Article history: Received 10 May 2016 The WFIKKN (WAP, Follistatin/kazal, Immunoglobulin, Kunitz and Netrin domain-containing) protein Received in revised form 7 June 2016 family is composed of two multidomain proteins: WFIKKN1 and WFIKKN2. They were formed by domain Accepted 10 June 2016 shuffling and are likely present in deuterostoms. The WFIKKN (also called GASP) proteins are well known Available online 11 June 2016 for their function in muscle and skeletal tissues, namely, inhibition of certain members of the transforming growth factor beta (TGFB) superfamily such as myostatin (MSTN) and growth and Keywords: differentiation factor 11 (GDF11). However, the role of the WFIKKN proteins in other tissues is still poorly GASP1 understood in spite of evidence suggesting possible action in the inner ear, brain and reproduction. GASP2 Further, several recent studies based on next generation technologies revealed differential expression of WFIKKN WFIKKN1 and WFIKKN2 in various tissues suggesting that their function is not limited to MSTN and GDF11 WFIKKNRP inhibition in musculoskeletal tissue.