Human Genetic Variation Influences Enteric Fever Progression
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Anti-VAC14 (Aa 711-760) Polyclonal Antibody (CABT-BL5957) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-VAC14 (aa 711-760) polyclonal antibody (CABT-BL5957) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Product Overview Rabbit polyclonal antibody to Human VAC14. Antigen Description The content of phosphatidylinositol 3, 5-bisphosphate (PtdInsP2) in endosomal membranes changes dynamically with fission and fusion events that generate or absorb intracellular transport vesicles. VAC14 is a component of a trimolecular complex that tightly regulates the level of PtdInsP2. Other components of this complex are the PtdInsP2-synthesizing enzyme PIKFYVE (MIM 609414) and the PtdInsP2 phosphatase FIG4 (MIM 609390). VAC14 functions as an activator of PIKFYVE (Sbrissa et al., 2007 Immunogen Synthetic peptide, corresponding to a region within C terminal amino acids 711-760 (QLLSHRLQCV PNPELLQTED SLKAAPKSQK ADSPSIDYAE LLQHFEKVQN) of Human VAC14. Isotype IgG Source/Host Rabbit Species Reactivity Human Purification Immunogen affinity purified Conjugate Unconjugated Sequence Similarities Belongs to the VAC14 family.Contains 6 HEAT repeats. Cellular Localization Endosome membrane. Microsome membrane. Mainly associated with membranes of the late endocytic pathway. Format Liquid Size 50 μg Buffer 97% PBS, 2% Sucrose Preservative None Storage Shipped at 4°C. Upon delivery aliquot and store at -20°C. Avoid repeated freeze/thaw cycles. 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved BACKGROUND Introduction The content of phosphatidylinositol 3,5-bisphosphate (PtdIns(3,5)P2) in endosomal membranes changes dynamically with fission and fusion events that generate or absorb intracellular transport vesicles. VAC14 is a component of a trimolecular complex that tightly regulates the level of PtdIns(3,5)P2. -
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. -
PRKN Gene Parkin RBR E3 Ubiquitin Protein Ligase
PRKN gene parkin RBR E3 ubiquitin protein ligase Normal Function The PRKN gene, one of the largest human genes, provides instructions for making a protein called parkin. Parkin plays a role in the cell machinery that breaks down ( degrades) unneeded proteins by tagging damaged and excess proteins with molecules called ubiquitin. Ubiquitin serves as a signal to move unneeded proteins into specialized cell structures known as proteasomes, where the proteins are degraded. The ubiquitin- proteasome system acts as the cell's quality control system by disposing of damaged, misshapen, and excess proteins. This system also regulates the availability of proteins that are involved in several critical cell activities, such as the timing of cell division and growth. Because of its activity in the ubiquitin-proteasome system, parkin belongs to a group of proteins called E3 ubiquitin ligases. Parkin appears to be involved in the maintenance of mitochondria, the energy- producing centers in cells. However, little is known about its role in mitochondrial function. Research suggests that parkin may help trigger the destruction of mitochondria that are not working properly. Studies of the structure and activity of parkin have led researchers to propose several additional activities for this protein. Parkin may act as a tumor suppressor protein, which means it prevents cells from growing and dividing too rapidly or in an uncontrolled way. Parkin may also regulate the supply and release of sacs called synaptic vesicles from nerve cells. Synaptic vesicles contain chemical messengers that transmit signals from one nerve cell to another. Health Conditions Related to Genetic Changes Parkinson disease Researchers have identified more than 200 PRKN gene mutations that cause Parkinson disease, a condition characterized by progressive problems with movement and balance. -
TMEM106B in Humans and Vac7 and Tag1 in Yeast Are Predicted to Be Lipid Transfer Proteins
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.12.435176; this version posted March 12, 2021. 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. TMEM106B in humans and Vac7 and Tag1 in yeast are predicted to be lipid transfer proteins Tim P. Levine* UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, United Kingdom. ORCID 0000-0002-7231-0775 *Corresponding author and lead contact: [email protected] Data availability statement: The data that support this study are freely available in Harvard Dataverse at https://dataverse.harvard.edu/dataverse/LEA_2. Acknowledgements: work was funded by the Higher Education Funding Council for England and the NIHR Moorfields Biomedical Research Centre Conflict of interest disclosure: the author declares that there is no conflict of interest Keywords: Structural bioinformatics, Lipid transfer protein, LEA_2, TMEM106B, Vac7, YLR173W, Endosome, Lysosome Running Title: TMEM106B & Vac7: lipid transfer proteins 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.12.435176; this version posted March 12, 2021. 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 TMEM106B is an integral membrane protein of late endosomes and lysosomes involved in neuronal function, its over-expression being associated with familial frontotemporal lobar degeneration, and under-expression linked to hypomyelination. It has also been identified in multiple screens for host proteins required for productive SARS-CoV2 infection. Because standard approaches to understand TMEM106B at the sequence level find no homology to other proteins, it has remained a protein of unknown function. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Myopia in African Americans Is Significantly Linked to Chromosome 7P15.2-14.2
Genetics Myopia in African Americans Is Significantly Linked to Chromosome 7p15.2-14.2 Claire L. Simpson,1,2,* Anthony M. Musolf,2,* Roberto Y. Cordero,1 Jennifer B. Cordero,1 Laura Portas,2 Federico Murgia,2 Deyana D. Lewis,2 Candace D. Middlebrooks,2 Elise B. Ciner,3 Joan E. Bailey-Wilson,1,† and Dwight Stambolian4,† 1Department of Genetics, Genomics and Informatics and Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States 2Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, United States 3The Pennsylvania College of Optometry at Salus University, Elkins Park, Pennsylvania, United States 4Department of Ophthalmology, University of Pennsylvania, Philadelphia, Pennsylvania, United States Correspondence: Joan E. PURPOSE. The purpose of this study was to perform genetic linkage analysis and associ- Bailey-Wilson, NIH/NHGRI, 333 ation analysis on exome genotyping from highly aggregated African American families Cassell Drive, Suite 1200, Baltimore, with nonpathogenic myopia. African Americans are a particularly understudied popula- MD 21131, USA; tion with respect to myopia. [email protected]. METHODS. One hundred six African American families from the Philadelphia area with a CLS and AMM contributed equally to family history of myopia were genotyped using an Illumina ExomePlus array and merged this work and should be considered co-first authors. with previous microsatellite data. Myopia was initially measured in mean spherical equiv- JEB-W and DS contributed equally alent (MSE) and converted to a binary phenotype where individuals were identified as to this work and should be affected, unaffected, or unknown. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Heterogeneous Phenotype in a Family with Compound Heterozygous Parkin Gene Mutations
ORIGINAL CONTRIBUTION Heterogeneous Phenotype in a Family With Compound Heterozygous Parkin Gene Mutations Hao Deng, PhD; Wei-Dong Le, MD, PhD; Christine B. Hunter, RN; William G. Ondo, MD; Yi Guo, MS; Wen-Jie Xie, MD; Joseph Jankovic, MD Background: Mutations in the parkin gene (PRKN) cause mutations in compound heterozygotes. The phenotype autosomal recessive early-onset Parkinson disease (EOPD). of patients was that of classic autosomal recessive EOPD characterized by beneficial response to levodopa, rela- Objective: To investigate the presence of mutations in tively slow progression, and motor complications. All het- the PRKN gene in a white family with EOPD and the geno- erozygous mutation carriers (T240M or EX 5_6 del) and type-phenotype correlations. a 56-year-old woman who was a compound heterozy- gous mutation carrier (T240M and EX 5_6 del) were free Design: Twenty members belonging to 3 generations of of any neurological symptoms. the EOPD family with 4 affected subjects underwent ge- netic analysis. Direct genomic DNA sequencing, semi- Conclusions: Compound heterozygous mutations quantitative polymerase chain reaction, real-time quan- (T240M and EX 5_6 del) in the PRKN gene were found titative polymerase chain reaction, and reverse- to cause autosomal recessive EOPD in 4 members of a transcriptase polymerase chain reaction analyses were large white family. One additional member with the same performed to identify the PRKN mutation. mutation, who is more than 10 years older than the mean age at onset of the 4 affected individuals, had no clinical Results: Compound heterozygous mutations (T240M manifestation of the disease. This incomplete pen- and EX 5_6 del) in the PRKN gene were identified in 4 etrance has implications for genetic counseling, and it patients with early onset (at ages 30-38 years). -
Biological Sciences—Genetics Human Genetic Variation in VAC14 Regulates Salmonella Invasion and Typhoid Feve
Classification: Biological Sciences—Genetics Human genetic variation in VAC14 regulates Salmonella invasion and typhoid fever through modulation of cholesterol 5 Monica I. Alvarez1, Luke C. Glover1, Peter Luo1, Liuyang Wang1, Elizabeth Theusch2, Stefan H. Oehlers1,3,4, Eric M. Walton1, Trinh Thi Bich Tram5, Yu-Lin Kuang2, Jerome I. Rotter6, Colleen M. McClean7, Nguyen Tran Chinh8, Marisa W. Medina2, David M. Tobin1,7, Sarah J. Dunstan9, Dennis C. Ko1,10 Affiliations: 10 1Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA. 2Children’s Hospital Oakland Research Institute, Oakland, CA 94609, USA. 3Tuberculosis Research Program, Centenary Institute, Camperdown, NSW 2050, Australia 4Sydney Medical School, The University of Sydney, Newtown, Australia 15 5Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam. 6Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA. 7Department of Immunology, School of Medicine, Duke University, Durham, NC 27710, USA. 20 8Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam. 9Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia. 10Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA. *To whom correspondence should be addressed: [email protected]. 25 1 Abstract Risk, severity, and outcome of infection depend on the -
Single Cell Spatial Chromatin Analysis of Fixed Immunocytochemically Identified Neuronal Cells
bioRxiv preprint doi: https://doi.org/10.1101/780387; this version posted September 24, 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. Title: Single Cell Spatial Chromatin Analysis of Fixed Immunocytochemically Identified Neuronal Cells One Sentence Summary: A new method, CHEX-seq (CHromatin eXposed), identifies the open- chromatin landscape in single fixed cells thereby allowing spatial chromatin analysis of selected cells in complex cellular environments. Authors: Jaehee Lee1,#, Youtao Lu2,#, Jinchun Wang3,#, Jifen Li1, Stephen A. Fisher2, C. Erik Nordgren2, Jean G. Rosario2, Stewart A. Anderson4, Alexandra V. Ulyanova5, Steven Brem5, H. Isaac Chen5, John A. Wolf5, M. Sean Grady5, Mimi Healy3, Junhyong Kim2,& and James Eberwine1,&, % Affiliations: 1 Department of Systems Pharmacology and Translational Therapeutics Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA, 2 Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104 USA, 3 Agilent Technologies, Inc., 5301 Stevens Creek Blvd, Santa Clara, CA 95051, USA, 4 Department of Psychiatry, Children’s Hospital of Philadelphia, ARC 517, 3615 Civic Center Blvd, Philadelphia, PA 19104, USA, 5Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. # These authors contributed equally to this manuscript. & These authors contributed equally to this manuscript. % Correspondence should be addressed to: James Eberwine, PhD University of Pennsylvania 37 John Morgan Building Philadelphia, PA 19104 [email protected] bioRxiv preprint doi: https://doi.org/10.1101/780387; this version posted September 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
PACRG (Human) Recombinant Protein (P01)
PACRG (Human) Recombinant Gene Summary: This gene encodes a protein that is Protein (P01) conserved across metazoans. In vertebrates, this gene is linked in a head-to-head arrangement with the Catalog Number: H00135138-P01 adjacent parkin gene, which is associated with autosomal recessive juvenile Parkinson's disease. Regulation Status: For research use only (RUO) These genes are co-regulated in various tissues and they share a bi-directional promoter. Both genes are Product Description: Human PACRG full-length ORF ( associated with susceptibility to leprosy. The parkin NP_001073847.1, 1 a.a. - 257 a.a.) recombinant protein co-regulated gene protein forms a large molecular with GST-tag at N-terminal. complex with chaperones, including heat shock proteins 70 and 90, and chaperonin components. This protein is Sequence: also a component of Lewy bodies in Parkinson's disease MVAEKETLSLNKCPDKMPKRTKLLAQQPLPVHQPHSL patients, and it suppresses unfolded Pael VSEGFTVKAMMKNSVVRGPPAAGAFKERPTKPTAFR receptor-induced neuronal cell death. Multiple transcript KFYERGDFPIALEHDSKGNKIAWKVEIEKLDYHHYLPLF variants encoding different isoforms have been found for FDGLCEMTFPYEFFARQGIHDMLEHGGNKILPVLPQLII this gene. [provided by RefSeq] PIKNALNLRNRQVICVTLKVLQHLVVSAEMVGKALVPY YRQILPVLNIFKNMNVNSGDGIDYSQQKRENIGDLIQET LEAFERYGGENAFINIKYVVPTYESCLLN Host: Wheat Germ (in vitro) Theoretical MW (kDa): 55.7 Applications: AP, Array, ELISA, WB-Re (See our web site product page for detailed applications information) Protocols: See our web site at http://www.abnova.com/support/protocols.asp or product page for detailed protocols Preparation Method: in vitro wheat germ expression system Purification: Glutathione Sepharose 4 Fast Flow Storage Buffer: 50 mM Tris-HCI, 10 mM reduced Glutathione, pH=8.0 in the elution buffer. Storage Instruction: Store at -80°C. Aliquot to avoid repeated freezing and thawing. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes.