Mouse Tinagl1 Knockout Project (CRISPR/Cas9)
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Bayesian GWAS and Network Analysis Revealed New Candidate Genes for Number of Teats in Pigs
J Appl Genetics DOI 10.1007/s13353-014-0240-y ANIMAL GENETICS • ORIGINAL PAPER Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs L. L. Verardo & F. F. Silva & L. Varona & M. D. V. Resende & J. W. M. Bastiaansen & P. S. Lopes & S. E. F. Guimarães Received: 7 March 2014 /Revised: 27 May 2014 /Accepted: 23 July 2014 # Institute of Plant Genetics, Polish Academy of Sciences, Poznan 2014 Abstract The genetic improvement of reproductive traits comparisons based on deviance posterior distribution indicat- such as the number of teats is essential to the success of the ed the superiority of Gaussian model. In general, our results pig industry. As opposite to most SNP association studies that suggest the presence of 19 significant SNPs, which mapped consider continuous phenotypes under Gaussian assumptions, 13 genes. Besides, we predicted gene interactions through this trait is characterized as a discrete variable, which could networks that are consistent with the mammals known breast potentially follow other distributions, such as the Poisson. biology (e.g., development of prolactin receptor signaling, and Therefore, in order to access the complexity of a counting cell proliferation), captured known regulation binding sites, random regression considering all SNPs simultaneously as and provided candidate genes for that trait (e.g., TINAGL1 covariate under a GWAS modeling, the Bayesian inference and ICK). tools become necessary. Currently, another point that deserves to be highlighted in GWAS is the genetic dissection of com- Keywords Counting data . Genes . Reproductive traits . SNP plex phenotypes through candidate genes network derived association from significant SNPs. -
CREB-Dependent Transcription in Astrocytes: Signalling Pathways, Gene Profiles and Neuroprotective Role in Brain Injury
CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Tesis doctoral Luis Pardo Fernández Bellaterra, Septiembre 2015 Instituto de Neurociencias Departamento de Bioquímica i Biologia Molecular Unidad de Bioquímica y Biologia Molecular Facultad de Medicina CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Memoria del trabajo experimental para optar al grado de doctor, correspondiente al Programa de Doctorado en Neurociencias del Instituto de Neurociencias de la Universidad Autónoma de Barcelona, llevado a cabo por Luis Pardo Fernández bajo la dirección de la Dra. Elena Galea Rodríguez de Velasco y la Dra. Roser Masgrau Juanola, en el Instituto de Neurociencias de la Universidad Autónoma de Barcelona. Doctorando Directoras de tesis Luis Pardo Fernández Dra. Elena Galea Dra. Roser Masgrau In memoriam María Dolores Álvarez Durán Abuela, eres la culpable de que haya decidido recorrer el camino de la ciencia. Que estas líneas ayuden a conservar tu recuerdo. A mis padres y hermanos, A Meri INDEX I Summary 1 II Introduction 3 1 Astrocytes: physiology and pathology 5 1.1 Anatomical organization 6 1.2 Origins and heterogeneity 6 1.3 Astrocyte functions 8 1.3.1 Developmental functions 8 1.3.2 Neurovascular functions 9 1.3.3 Metabolic support 11 1.3.4 Homeostatic functions 13 1.3.5 Antioxidant functions 15 1.3.6 Signalling functions 15 1.4 Astrocytes in brain pathology 20 1.5 Reactive astrogliosis 22 2 The transcription -
Detecting Methylation Signatures in Neurodegenerative Disease by Density‑Based Clustering of Applications with Reducing Noise Saurav Mallik1 & Zhongming Zhao1,2,3*
www.nature.com/scientificreports OPEN Detecting methylation signatures in neurodegenerative disease by density‑based clustering of applications with reducing noise Saurav Mallik1 & Zhongming Zhao1,2,3* There have been numerous genetic and epigenetic datasets generated for the study of complex disease including neurodegenerative disease. However, analysis of such data often sufers from detecting the outliers of the samples, which subsequently afects the extraction of the true biological signals involved in the disease. To address this critical issue, we developed a novel framework for identifying methylation signatures using consecutive adaptation of a well‑known outlier detection algorithm, density based clustering of applications with reducing noise (DBSCAN) followed by hierarchical clustering. We applied the framework to two representative neurodegenerative diseases, Alzheimer’s disease (AD) and Down syndrome (DS), using DNA methylation datasets from public sources (Gene Expression Omnibus, GEO accession ID: GSE74486). We frst applied DBSCAN algorithm to eliminate outliers, and then used Limma statistical method to determine diferentially methylated genes. Next, hierarchical clustering technique was applied to detect gene modules. Our analysis identifed a methylation signature comprising 21 genes for AD and a methylation signature comprising 89 genes for DS, respectively. Our evaluation indicated that these two signatures could lead to high classifcation accuracy values (92% and 70%) for these two diseases. In summary, this framework will be useful to better detect outlier‑free genetic and epigenetic signatures in various complex diseases and their developmental stages. Te past 2 decades have witnessed exponential growth of genetic and epigenetic data generation, which sub- stantially helps the advancement of biological and biomedical research. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
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. -
Viruses.STRING: a Virus-Host Protein-Protein Interaction Database
Viruses.STRING A Virus-Host Protein-Protein Interaction Database Cook, Helen Victoria; Doncheva, Nadezhda Tsankova; Szklarczyk, Damian; von Mering, Christian; Jensen, Lars Juhl Published in: Viruses DOI: 10.3390/v10100519 Publication date: 2018 Document version Publisher's PDF, also known as Version of record Citation for published version (APA): Cook, H. V., Doncheva, N. T., Szklarczyk, D., von Mering, C., & Jensen, L. J. (2018). Viruses.STRING: A Virus- Host Protein-Protein Interaction Database. Viruses, 10(10), 1-11. [519]. https://doi.org/10.3390/v10100519 Download date: 03. okt.. 2021 Article Viruses.STRING: A Virus-Host Protein-Protein Interaction Database Helen Victoria Cook 1 , Nadezhda Tsankova Doncheva 1,2 , Damian Szklarczyk 3, Christian von Mering 3 and Lars Juhl Jensen 1,* 1 Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, DK-2200 Copenhagen N, Danmark; [email protected] (H.V.C.); [email protected] (N.T.D.) 2 Center for Non-Coding RNA in Technology and Health, University of Copenhagen, 1870 Frederiksberg C, Danmark 3 Swiss Institute of Bioinformatics, University of Zurich, 8006 Zurich, Switzerland; [email protected] (D.S.); [email protected] (C.v.M.) * Correspondence: [email protected] Received: 3 September 2018; Accepted: 20 September 2018; Published: 23 September 2018 Abstract: As viruses continue to pose risks to global health, having a better understanding of virus–host protein–protein interactions aids in the development of treatments and vaccines. Here, we introduce Viruses.STRING, a protein–protein interaction database specifically catering to virus–virus and virus–host interactions. -
Clinical Factors That Influence the Cellular Responses of Saphenous
Clinical factors that influence the cellular responses of saphenous veins used for arterial bypass Michael Sobel, MD,a,b Shinsuke Kikuchi, MD,c Lihua Chen,b Gale L. Tang, MD,a,b Tom N. Wight, PhD,d and Richard D. Kenagy, PhD,b Seattle, Wash; and Asahikawa, Japan ABSTRACT Objective: When an autogenous vein is harvested and used for arterial bypass, it suffers physical and biologic injuries that may set in motion the cellular processes that lead to wall thickening, fibrosis, stenosis, and ultimately graft failure. Whereas the injurious effects of surgical preparation of the vein conduit have been extensively studied, little is known about the influence of the clinical environment of the donor leg from which the vein is obtained. Methods: We studied the cellular responses of fresh saphenous vein samples obtained before implantation in 46 patients undergoing elective lower extremity bypass surgery. Using an ex vivo model of response to injury, we quantified the outgrowth of cells from explants of the adventitial and medial layers of the vein. We correlated this cellular outgrowth with the clinical characteristics of the patients, including the Wound, Ischemia, and foot Infection classification of the donor leg for ischemia, wounds, and infection as well as smoking and diabetes. Results: Cellular outgrowth was significantly faster and more robust from the adventitial layer than from the medial layer. The factors of leg ischemia (P < .001), smoking (P ¼ .042), and leg infection (P ¼ .045) were associated with impaired overall outgrowth from the adventitial tissue on multivariable analysis. Only ischemia (P ¼ .046) was associated with impaired outgrowth of smooth muscle cells (SMCs) from the medial tissue. -
Targets of the Tumor Suppressor Mir-200 in Regulation of the Epithelial–Mesenchymal Transition in Cancer
Published OnlineFirst October 10, 2011; DOI: 10.1158/0008-5472.CAN-11-0964 Cancer Tumor and Stem Cell Biology Research Targets of the Tumor Suppressor miR-200 in Regulation of the Epithelial–Mesenchymal Transition in Cancer Mark J. Schliekelman1 , Don L. Gibbons2,3, Vitor M. Faca1, Chad J. Creighton4, Zain H. Rizvi2, Qing Zhang1, Chee-Hong Wong1, Hong Wang1, Christin Ungewiss2, Young-Ho Ahn2, Dong-Hoon Shin2, Jonathan M. Kurie2, and Samir M. Hanash1 Abstract The microRNA-200 (miR-200) family restricts epithelial–mesenchymal transition (EMT) and metastasis in tumor cell lines derived from mice that develop metastatic lung adenocarcinoma. To determine the mechanisms responsible for EMT and metastasis regulated by this microRNA, we conducted a global liquid chromatography/ tandem mass spectrometry analysis to compare metastatic and nonmetastatic murine lung adenocarcinoma cells which had undergone EMT because of loss of miR-200. An analysis of syngeneic tumors generated by these cells identified multiple novel proteins linked to metastasis. In particular, the analysis of conditioned media, cell surface proteins, and whole-cell lysates from metastatic and nonmetastatic cells revealed large-scale modifica- tions in the tumor microenvironment. Specific increases were documented in extracellular matrix (ECM) proteins, peptidases, and changes in distribution of cell adhesion proteins in the metastatic cell lines. Integrating proteomic data from three subproteomes, we defined constituents of a multilayer protein network that both regulated and mediated the effects of TGFb. Lastly, we identified ECM proteins and peptidases that were directly regulated by miR-200. Taken together, our results reveal how expression of miR-200 alters the tumor microenvironment to inhibit the processes of EMT and metastasis. -
Determining the Role of Tubulointerstitial Nephritis Antigen-Like 1 in Renal Ischemic Reperfusion Injury
Determining the Role of Tubulointerstitial Nephritis Antigen-Like 1 in Renal Ischemic Reperfusion Injury The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:37799761 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Determining the Role of Tubulointerstitial Nephritis Antigen-like 1 in Renal Ischemic Reperfusion Injury Paul D. Pang A Thesis in the Field of Biotechnology for the Degree of Master of Liberal Arts in Extension Studies Harvard University March 2018 Abstract Acute kidney injury (AKI) is a broad term that applies to a wide range of pathological etiologies characterized by a sudden increase in serum creatinine, a hallmark of malfunctioning kidneys. Ongoing efforts to elucidate the pathophysiology of AKI has shed light on certain proteins that may be involved during the kidney injury and repair process. One protein of interest is tubulointerstitial nephritis antigen like-1 (TINAGL1). In mice that has been subjected to renal ischemic reperfusion injury (IRI) surgery to induce AKI, mRNA transcripts of Tinagl1 has been found to be significantly increased shortly after AKI. We hypothesize that the upregulation of Tinagl1 plays an important role in mitigating the damage done by AKI and serve as an essential component during the process of repairing kidney tubules. In this study, we generated a mouse with Tinagl1 knockout and evaluated its susceptibility to renal tubular damage following IRI surgery. -
Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein -
An Interactive Visual Analysis Tool for Microrna-Mrna Expression Profile Data
Jung et al. BMC Proceedings 2015, 9(Suppl 6):S2 http://www.biomedcentral.com/1753-6561/9/S6/S2 RESEARCH Open Access miRTarVis: an interactive visual analysis tool for microRNA-mRNA expression profile data Daekyoung Jung1, Bohyoung Kim2, Robert J Freishtat3,4,5, Mamta Giri4, Eric Hoffman4,5, Jinwook Seo1* From 5th Symposium on Biological Data Visualization Dublin, Ireland. 10-11 July 2015 Abstract Background: MicroRNAs (miRNA) are short nucleotides that down-regulate its target genes. Various miRNA target prediction algorithms have used sequence complementarity between miRNA and its targets. Recently, other algorithms tried to improve sequence-based miRNA target prediction by exploiting miRNA-mRNA expression profile data. Some web-based tools are also introduced to help researchers predict targets of miRNAs from miRNA-mRNA expression profile data. A demand for a miRNA-mRNA visual analysis tool that features novel miRNA prediction algorithms and more interactive visualization techniques exists. Results: We designed and implemented miRTarVis, which is an interactive visual analysis tool that predicts targets of miRNAs from miRNA-mRNA expression profile data and visualizes the resulting miRNA-target interaction network. miRTarVis has intuitive interface design in accordance with the analysis procedure of load, filter, predict, and visualize. It predicts targets of miRNA by adopting Bayesian inference and MINE analyses, as well as conventional correlation and mutual information analyses. It visualizes a resulting miRNA-mRNA network in an interactive Treemap, as well as a conventional node-link diagram. miRTarVis is available at http://hcil.snu.ac.kr/~rati/ miRTarVis/index.html. Conclusions: We reported findings from miRNA-mRNA expression profile data of asthma patients using miRTarVis in a case study. -
Asparaginase Treatment Side-Effects May Be Due to Genes with Homopolymeric Asn Codons (Review-Hypothesis)
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 36: 607-626, 2015 Asparaginase treatment side-effects may be due to genes with homopolymeric Asn codons (Review-Hypothesis) JULIAN BANERJI Center for Computational and Integrative Biology, MGH, Simches Research Center, Boston, MA 02114, USA Received April 15, 2015; Accepted July 15, 2015 DOI: 10.3892/ijmm.2015.2285 Abstract. The present treatment of childhood T-cell 1. Foundation of the hypothesis leukemias involves the systemic administration of prokary- otic L-asparaginase (ASNase), which depletes plasma Core hypothesis: translocation rates, poly Asparagine (Asn); Asparagine (Asn) and inhibits protein synthesis. The mecha- insulin-receptor-substrate 2 (IRS2) and diabetes; hypothesis nism of therapeutic action of ASNase is poorly understood, tests, poly glutamine (Gln) HTT and ataxias. Despite similar as are the etiologies of the side-effects incurred by treatment. Asn codon usage, ~4%/gene, from plants to humans (1), Protein expression from genes bearing Asn homopolymeric mammals are distinguished by a paucity of genes with a long coding regions (N-hCR) may be particularly susceptible to Asn homopolymeric coding region (N-hCR) (2). The 17 human Asn level fluctuation. In mammals, N-hCR are rare, short and genes with the longest N-hCR (ranging from five to eight conserved. In humans, misfunctions of genes encoding N-hCR consecutive Asn codons) are listed in Fig. 1; Table I lists genes are associated with a cluster of disorders that mimic ASNase with N-hCR greater than three. IRS2, encoding an insulin therapy side-effects which include impaired glycemic control, signal transducer, is the gene at the top of the list in Fig.