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Sternberg PW, Van Auken K, Wang Q, Wright A, Yook K, Zarowiecki M, Arnaboldi V, Becerra A, Brown S, Cain S, Chan J, Chen WJ, Cho J, Davis P, Diamantakis S, Dyer S, Grigoriadis D, Grove CA, Harris T, Howe K, Kishore R, Lee R, Longden I, Luypaert M, Müller HM, Nuin P, Quinton-Tulloch M, Raciti D, Schedl T, Schindelman G, Stein L. WormBase 2024: status and transitioning to Alliance infrastructure. Genetics 2024; 227:iyae050. [PMID: 38573366 DOI: 10.1093/genetics/iyae050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/05/2024] Open
Abstract
WormBase has been the major repository and knowledgebase of information about the genome and genetics of Caenorhabditis elegans and other nematodes of experimental interest for over 2 decades. We have 3 goals: to keep current with the fast-paced C. elegans research, to provide better integration with other resources, and to be sustainable. Here, we discuss the current state of WormBase as well as progress and plans for moving core WormBase infrastructure to the Alliance of Genome Resources (the Alliance). As an Alliance member, WormBase will continue to interact with the C. elegans community, develop new features as needed, and curate key information from the literature and large-scale projects.
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Affiliation(s)
- Paul W Sternberg
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Kimberly Van Auken
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Qinghua Wang
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Adam Wright
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada
| | - Karen Yook
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Magdalena Zarowiecki
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | - Valerio Arnaboldi
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Andrés Becerra
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | - Stephanie Brown
- School of Infection and Immunity, University of Glasgow, Glasgow G12 8TA, UK
| | - Scott Cain
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada
| | - Juancarlos Chan
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Wen J Chen
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Jaehyoung Cho
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Paul Davis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | - Stavros Diamantakis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | - Sarah Dyer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | | | - Christian A Grove
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Todd Harris
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada
| | - Kevin Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | - Ranjana Kishore
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Raymond Lee
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Ian Longden
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada
| | - Manuel Luypaert
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | - Hans-Michael Müller
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Paulo Nuin
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada
| | - Mark Quinton-Tulloch
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK
| | - Daniela Raciti
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Tim Schedl
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Gary Schindelman
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Lincoln Stein
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada
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Casajús V, Howe K, Fish T, Civello P, Thannhauser T, Li L, Gómez Lobato M, Martínez G. Evidence of glucosinolates translocation from inflorescences to stems during postharvest storage of broccoli. Plant Physiol Biochem 2023; 195:322-329. [PMID: 36669347 DOI: 10.1016/j.plaphy.2023.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 12/05/2022] [Accepted: 01/09/2023] [Indexed: 06/17/2023]
Abstract
Broccoli is a vegetable appreciated by consumers for its nutritional properties, particularly for its high glucosinolate (GLS) content. However, broccoli shows a high rate of senescence during postharvest and the GLS content in inflorescences decreases sharply. Usually, postharvest studies on broccoli focus on inflorescences, ignoring the other tissues harvested such as the stems and main stalk. In this work, GLS metabolism in whole heads of broccoli (including inflorescences, small stems and stalk) was analysed during postharvest senescence. The content of GLS content, expression of GLS metabolic genes, and expression of GLS transport-associated genes were measured in the three parts of harvested broccoli. A marked decrease in the content of all GLSs was detected in inflorescences, but an increase in the stems and stalk. Also, decreased expressions of GLS biosynthesis and degradation genes were detected in all tissues analysed. On the other hand, an increase in the expression of one of the genes involved in GLS transport was observed. These results suggest that GLSs would be transported from inflorescences to stems during postharvest senescence. From a commercial point of view, broccoli stems are usually discarded and not used as food. However, the accumulation of GLSs in the stems is an important factor to consider when contemplating potential commercial use of this part of the plant.
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Affiliation(s)
- Victoria Casajús
- Instituto de Fisiología Vegetal (INFIVE) UNLP-CONICET, 113 and 61, 1900, La Plata, Argentina
| | - Kevin Howe
- Robert W. Holley Center for Agriculture and Health, USDA-Agricultural Research Service, Cornell University, Ithaca, NY, 14853, USA
| | - Tara Fish
- Robert W. Holley Center for Agriculture and Health, USDA-Agricultural Research Service, Cornell University, Ithaca, NY, 14853, USA
| | - Pedro Civello
- Instituto de Fisiología Vegetal (INFIVE) UNLP-CONICET, 113 and 61, 1900, La Plata, Argentina; Facultad de Ciencias Exactas. Universidad Nacional de La Plata (UNLP), La Plata, Argentina
| | - Theodore Thannhauser
- Robert W. Holley Center for Agriculture and Health, USDA-Agricultural Research Service, Cornell University, Ithaca, NY, 14853, USA
| | - Li Li
- Robert W. Holley Center for Agriculture and Health, USDA-Agricultural Research Service, Cornell University, Ithaca, NY, 14853, USA
| | - María Gómez Lobato
- Instituto de Fisiología Vegetal (INFIVE) UNLP-CONICET, 113 and 61, 1900, La Plata, Argentina
| | - Gustavo Martínez
- Instituto de Fisiología Vegetal (INFIVE) UNLP-CONICET, 113 and 61, 1900, La Plata, Argentina; Facultad de Ciencias Exactas. Universidad Nacional de La Plata (UNLP), La Plata, Argentina.
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Mallick R, Arnaboldi V, Davis P, Diamantakis S, Zarowiecki M, Howe K. Accelerated variant curation from scientific literature using biomedical text mining. MicroPubl Biol 2022; 2022:10.17912/micropub.biology.000578. [PMID: 35663412 PMCID: PMC9160977 DOI: 10.17912/micropub.biology.000578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 05/19/2022] [Accepted: 06/01/2022] [Indexed: 11/20/2022]
Abstract
Biological databases collect and standardize data through biocuration. Even though major model organism databases have adopted some automation of curation methods, a large portion of biocuration is still performed manually. To speed up the extraction of the genomic positions of variants, we have developed a hybrid approach that combines regular expressions, Named Entity Recognition based on BERT (Bidirectional Encoder Representations from Transformers) and bag-of-words to extract variant genomic locations from C. elegans papers for WormBase. Our model has a precision of 82.59% for the gene-mutation matches tested on extracted text from 100 papers, and even recovers some data not discovered during manual curation. Code at: https://github.com/WormBase/genomic-info-from-papers.
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Affiliation(s)
- Rishab Mallick
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Valerio Arnaboldi
- Division of Biology and Biological Engineering 140-18, California Institute of Technology, Pasadena, CA 91125, USA
| | - Paul Davis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Stavros Diamantakis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Magdalena Zarowiecki
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kevin Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
,
Correspondence to: Kevin Howe (
)
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4
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McClean PE, Lee R, Howe K, Osborne C, Grimwood J, Levy S, Haugrud AP, Plott C, Robinson M, Skiba RM, Tanha T, Zamani M, Thannhauser TW, Glahn RP, Schmutz J, Osorno JM, Miklas PN. The Common Bean V Gene Encodes Flavonoid 3'5' Hydroxylase: A Major Mutational Target for Flavonoid Diversity in Angiosperms. Front Plant Sci 2022; 13:869582. [PMID: 35432409 PMCID: PMC9009181 DOI: 10.3389/fpls.2022.869582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 03/15/2022] [Indexed: 06/14/2023]
Abstract
The classic V (violet, purple) gene of common bean (Phaseolus vulgaris) functions in a complex genetic network that controls seed coat and flower color and flavonoid content. V was cloned to understand its role in the network and the evolution of its orthologs in the Viridiplantae. V mapped genetically to a narrow interval on chromosome Pv06. A candidate gene was selected based on flavonoid analysis and confirmed by recombinational mapping. Protein and domain modeling determined V encodes flavonoid 3'5' hydroxylase (F3'5'H), a P450 enzyme required for the expression of dihydromyricetin-derived flavonoids in the flavonoid pathway. Eight recessive haplotypes, defined by mutations of key functional domains required for P450 activities, evolved independently in the two bean gene pools from a common ancestral gene. V homologs were identified in Viridiplantae orders by functional domain searches. A phylogenetic analysis determined F3'5'H first appeared in the Streptophyta and is present in only 41% of Angiosperm reference genomes. The evolutionarily related flavonoid pathway gene flavonoid 3' hydroxylase (F3'H) is found nearly universally in all Angiosperms. F3'H may be conserved because of its role in abiotic stress, while F3'5'H evolved as a major target gene for the evolution of flower and seed coat color in plants.
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Affiliation(s)
- Phillip E. McClean
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
- Genomics, Phenomics, and Bioinformatic Program, North Dakota State University, Fargo, ND, United States
| | - Rian Lee
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Kevin Howe
- USDA-ARS, Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY, United States
| | - Caroline Osborne
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Jane Grimwood
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Shawn Levy
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Amanda Peters Haugrud
- Genomics, Phenomics, and Bioinformatic Program, North Dakota State University, Fargo, ND, United States
| | - Chris Plott
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Melanie Robinson
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Ryan M. Skiba
- Genomics, Phenomics, and Bioinformatic Program, North Dakota State University, Fargo, ND, United States
| | - Tabassum Tanha
- Genomics, Phenomics, and Bioinformatic Program, North Dakota State University, Fargo, ND, United States
| | - Mariam Zamani
- Genomics, Phenomics, and Bioinformatic Program, North Dakota State University, Fargo, ND, United States
| | - Theodore W. Thannhauser
- USDA-ARS, Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY, United States
| | - Raymond P. Glahn
- USDA-ARS, Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY, United States
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Juan M. Osorno
- Department of Plant Sciences, North Dakota State University, Fargo, ND, United States
| | - Phillip N. Miklas
- USDA-ARS, Grain Legumes Genetics and Physiology Research Unit, Prosser, WA, United States
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5
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Howe K, Ross JM, Loiselle DS, Han JC, Crossman DJ. Right-sided heart failure is also associated with transverse tubule remodeling in the left ventricle. Am J Physiol Heart Circ Physiol 2021; 321:H940-H947. [PMID: 34559582 DOI: 10.1152/ajpheart.00298.2021] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 09/22/2021] [Indexed: 11/22/2022]
Abstract
Right-sided heart failure is a common consequence of pulmonary arterial hypertension. Overloading the right ventricle results in right ventricular hypertrophy, which progresses to failure in a process characterized by impaired Ca2+ dynamics and force production that is linked with transverse (t)-tubule remodeling. This also unloads the left ventricle, which consequently atrophies. Experimental left-ventricular unloading can result in t-tubule remodeling, but it is currently unclear if this occurs in right-sided heart failure. In this work, we used a model of monocrotaline (MCT)-induced right heart failure in male rats, using confocal microscopy to investigate cellular remodeling of t-tubules, junctophilin-2 (JPH2), and ryanodine receptor-2 (RyR2). We examined remodeling across tissue anatomical regions of both ventricles: in trabeculae, papillary muscles, and free walls. Our analyses revealed that MCT hearts demonstrated a significant loss of t-tubule periodicity, disruption of the normal sarcomere striated pattern with JPH2 labeling, and also a disorganized striated pattern of RyR2, a feature not previously reported in right heart failure. Remodeling of JPH2 and RyR2 in the MCT heart was more pronounced in papillary muscles and trabeculae compared with free walls, particularly in the left ventricle. We find that these structures, commonly used as ex vivo muscle preparations, are more sensitive to the disease process.NEW & NOTEWORTHY In this work, we demonstrate that t-tubule remodeling occurs in the atrophied left ventricle as well as the overloaded right ventricle after right-side heart failure. Moreover, we identify that t-tubule remodeling in both ventricles is linked to sarcoplasmic reticulum remodeling as indicated by decreased labeling periodicity of both the Ca2+ release channel, RyR2, and the cardiac junction-forming protein, JPH2, that forms a link between the sarcoplasmic reticulum and sarcolemma. Studies developing treatments for right-sided heart failure should consider effects on both the right and left ventricle.
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MESH Headings
- Animals
- Calcium Signaling
- Disease Models, Animal
- Heart Failure/chemically induced
- Heart Failure/metabolism
- Heart Failure/pathology
- Heart Failure/physiopathology
- Heart Ventricles/metabolism
- Heart Ventricles/pathology
- Heart Ventricles/physiopathology
- Hypertrophy, Left Ventricular/chemically induced
- Hypertrophy, Left Ventricular/metabolism
- Hypertrophy, Left Ventricular/pathology
- Hypertrophy, Left Ventricular/physiopathology
- Hypertrophy, Right Ventricular/chemically induced
- Hypertrophy, Right Ventricular/metabolism
- Hypertrophy, Right Ventricular/pathology
- Hypertrophy, Right Ventricular/physiopathology
- Male
- Membrane Proteins/metabolism
- Monocrotaline
- Rats, Wistar
- Ryanodine Receptor Calcium Release Channel/metabolism
- Sarcomeres/metabolism
- Sarcomeres/pathology
- Ventricular Function, Left
- Ventricular Function, Right
- Ventricular Remodeling
- Rats
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Affiliation(s)
- Kevin Howe
- Department of Physiology, School of Medical Sciences, University of Auckland, Auckland, New Zealand
| | - Jacqueline M Ross
- Biomedical Imaging Research Unit, School of Medical Sciences, University of Auckland, Auckland, New Zealand
| | - Denis S Loiselle
- Department of Physiology, School of Medical Sciences, University of Auckland, Auckland, New Zealand
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - June-Chiew Han
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - David J Crossman
- Department of Physiology, School of Medical Sciences, University of Auckland, Auckland, New Zealand
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Roberts G, Lloyd JJ, Kane JPM, Durcan R, Lawley S, Howe K, Petrides GS, O'Brien JT, Thomas AJ. Cardiac 123I-MIBG normal uptake values are population-specific: Results from a cohort of controls over 60 years of age. J Nucl Cardiol 2021; 28:1692-1701. [PMID: 31529384 DOI: 10.1007/s12350-019-01887-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 08/22/2019] [Indexed: 01/08/2023]
Abstract
PURPOSE Cardiac 123I-MIBG image interpretation is affected by population differences and technical factors. We recruited older adults without cognitive decline and compared their cardiac MIBG uptake with results from the literature. METHODS Phantom calibration confirmed that cardiac uptake results from Japan could be applied to our center. We recruited 31 controls, 17 individuals with dementia with Lewy bodies (DLB) and 15 with Alzheimer's disease (AD). Images were acquired 20 minutes and four hours after injection using Siemens cameras with medium-energy low-penetration (MELP) collimators. Local normal heart-to-mediastinum (HMR) ratios were compared to Japanese results. RESULTS Siemens gamma cameras with MELP collimators should give HMRs very close to the calibrated values used in Japan. However, our cut-offs with controls were lower at 2.07 for early and 1.86 for delayed images. Applying our lower cut-off to the dementia patients may increase the specificity of cardiac MIBG imaging for DLB diagnosis in a UK population without reducing sensitivity. CONCLUSIONS Our local HMR cut-off values are lower than in Japan, higher than in a large US study but similar to those found in another UK center. UK centers using other cameras and collimators may need to use different cut-offs to apply our results.
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Affiliation(s)
- G Roberts
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Westgate Road, Newcastle upon Tyne, NE4 6BE, UK.
- Nuclear Medicine Department, Leazes Wing, Royal Victoria Infirmary, Richardson Road, Newcastle upon Tyne, NE1 4LP, UK.
| | - J J Lloyd
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Westgate Road, Newcastle upon Tyne, NE4 6BE, UK
- Nuclear Medicine Department, Leazes Wing, Royal Victoria Infirmary, Richardson Road, Newcastle upon Tyne, NE1 4LP, UK
| | - J P M Kane
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Westgate Road, Newcastle upon Tyne, NE4 6BE, UK
| | - R Durcan
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Westgate Road, Newcastle upon Tyne, NE4 6BE, UK
| | - S Lawley
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Westgate Road, Newcastle upon Tyne, NE4 6BE, UK
| | - K Howe
- Nuclear Medicine Department, Leazes Wing, Royal Victoria Infirmary, Richardson Road, Newcastle upon Tyne, NE1 4LP, UK
| | - G S Petrides
- Nuclear Medicine Department, Leazes Wing, Royal Victoria Infirmary, Richardson Road, Newcastle upon Tyne, NE1 4LP, UK
| | - J T O'Brien
- Department of Psychiatry, University of Cambridge, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge, CB2 0SP, UK
| | - A J Thomas
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Westgate Road, Newcastle upon Tyne, NE4 6BE, UK
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Abstract
Abstract During the first wave of COVID-19 transmission in New Zealand, a review of RT-PCR testing in all symptomatic cases reported in the Auckland Region found 74% of test results to have been positive. Detection rate was superior for nasopharyngeal swabs than for oropharyngeal samples, and highest one week after symptom onset. Certain symptom presentations may associate with these cases returning negative results, with dyspnoea reported by a greater proportion of cases who tested negative.
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Casajús V, Civello P, Martínez G, Howe K, Fish T, Yang Y, Thannhauser T, Li L, Gómez Lobato M. Effect of continuous white light illumination on glucosinolate metabolism during postharvest storage of broccoli. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111302] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Hosseinzadeh S, Higgins SA, Ramsey J, Howe K, Griggs M, Castrillo L, Heck M. Proteomic Polyphenism in Color Morphotypes of Diaphorina citri, Insect Vector of Citrus Greening Disease. J Proteome Res 2021; 20:2851-2866. [PMID: 33890474 DOI: 10.1021/acs.jproteome.1c00089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Diaphorina citri is a vector of "Candidatus Liberibacter asiaticus" (CLas), associated with citrus greening disease. D. citri exhibit at least two color morphotypes, blue and non-blue, the latter including gray and yellow morphs. Blue morphs have a greater capacity for long-distance flight and transmit CLas less efficiently as compared to non-blue morphs. Differences in physiology and immunity between color morphs of the insect vector may influence disease epidemiology and biological control strategies. We evaluated the effect of CLas infection on color morph and sex-specific proteomic profiles of D. citri. Immunity-associated proteins were more abundant in blue morphs as compared to non-blue morphs but were upregulated at a higher magnitude in response to CLas infection in non-blue insects. To test for differences in color morph immunity, we measured two phenotypes: (1) survival of D. citri when challenged with the entomopathogenic fungus Beauveria bassiana and (2) microbial load of the surface and internal microbial communities. Non-blue color morphs showed higher mortality at four doses of B. bassinana, but no differences in microbial load were observed. Thus, color morph polyphenism is associated with two distinct proteomic immunity phenotypes in D. citri that may impact transmission of CLas and resistance to B. bassiana under some conditions.
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Affiliation(s)
- Saeed Hosseinzadeh
- Section of Plant Pathology and Plant-Microbe Biology, School of Integrated Plant Sciences, Cornell University, Ithaca, New York 14853, United States.,Boyce Thompson Institute, Ithaca, New York 14853, United States
| | - Steven A Higgins
- Section of Plant Pathology and Plant-Microbe Biology, School of Integrated Plant Sciences, Cornell University, Ithaca, New York 14853, United States.,Emerging Pests and Pathogens Research Unit, Robert W. Holley Center, USDA ARS, Ithaca, New York 14853, United States
| | - John Ramsey
- Emerging Pests and Pathogens Research Unit, Robert W. Holley Center, USDA ARS, Ithaca, New York 14853, United States
| | - Kevin Howe
- Emerging Pests and Pathogens Research Unit, Robert W. Holley Center, USDA ARS, Ithaca, New York 14853, United States
| | - Michael Griggs
- Emerging Pests and Pathogens Research Unit, Robert W. Holley Center, USDA ARS, Ithaca, New York 14853, United States
| | - Louela Castrillo
- Emerging Pests and Pathogens Research Unit, Robert W. Holley Center, USDA ARS, Ithaca, New York 14853, United States
| | - Michelle Heck
- Section of Plant Pathology and Plant-Microbe Biology, School of Integrated Plant Sciences, Cornell University, Ithaca, New York 14853, United States.,Boyce Thompson Institute, Ithaca, New York 14853, United States.,Emerging Pests and Pathogens Research Unit, Robert W. Holley Center, USDA ARS, Ithaca, New York 14853, United States
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Rhie A, McCarthy SA, Fedrigo O, Damas J, Formenti G, Koren S, Uliano-Silva M, Chow W, Fungtammasan A, Kim J, Lee C, Ko BJ, Chaisson M, Gedman GL, Cantin LJ, Thibaud-Nissen F, Haggerty L, Bista I, Smith M, Haase B, Mountcastle J, Winkler S, Paez S, Howard J, Vernes SC, Lama TM, Grutzner F, Warren WC, Balakrishnan CN, Burt D, George JM, Biegler MT, Iorns D, Digby A, Eason D, Robertson B, Edwards T, Wilkinson M, Turner G, Meyer A, Kautt AF, Franchini P, Detrich HW, Svardal H, Wagner M, Naylor GJP, Pippel M, Malinsky M, Mooney M, Simbirsky M, Hannigan BT, Pesout T, Houck M, Misuraca A, Kingan SB, Hall R, Kronenberg Z, Sović I, Dunn C, Ning Z, Hastie A, Lee J, Selvaraj S, Green RE, Putnam NH, Gut I, Ghurye J, Garrison E, Sims Y, Collins J, Pelan S, Torrance J, Tracey A, Wood J, Dagnew RE, Guan D, London SE, Clayton DF, Mello CV, Friedrich SR, Lovell PV, Osipova E, Al-Ajli FO, Secomandi S, Kim H, Theofanopoulou C, Hiller M, Zhou Y, Harris RS, Makova KD, Medvedev P, Hoffman J, Masterson P, Clark K, Martin F, Howe K, Flicek P, Walenz BP, Kwak W, Clawson H, Diekhans M, Nassar L, Paten B, Kraus RHS, Crawford AJ, Gilbert MTP, Zhang G, Venkatesh B, Murphy RW, Koepfli KP, Shapiro B, Johnson WE, Di Palma F, Marques-Bonet T, Teeling EC, Warnow T, Graves JM, Ryder OA, Haussler D, O'Brien SJ, Korlach J, Lewin HA, Howe K, Myers EW, Durbin R, Phillippy AM, Jarvis ED. Towards complete and error-free genome assemblies of all vertebrate species. Nature 2021; 592:737-746. [PMID: 33911273 PMCID: PMC8081667 DOI: 10.1038/s41586-021-03451-0] [Citation(s) in RCA: 591] [Impact Index Per Article: 197.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 03/12/2021] [Indexed: 02/02/2023]
Abstract
High-quality and complete reference genome assemblies are fundamental for the application of genomics to biology, disease, and biodiversity conservation. However, such assemblies are available for only a few non-microbial species1-4. To address this issue, the international Genome 10K (G10K) consortium5,6 has worked over a five-year period to evaluate and develop cost-effective methods for assembling highly accurate and nearly complete reference genomes. Here we present lessons learned from generating assemblies for 16 species that represent six major vertebrate lineages. We confirm that long-read sequencing technologies are essential for maximizing genome quality, and that unresolved complex repeats and haplotype heterozygosity are major sources of assembly error when not handled correctly. Our assemblies correct substantial errors, add missing sequence in some of the best historical reference genomes, and reveal biological discoveries. These include the identification of many false gene duplications, increases in gene sizes, chromosome rearrangements that are specific to lineages, a repeated independent chromosome breakpoint in bat genomes, and a canonical GC-rich pattern in protein-coding genes and their regulatory regions. Adopting these lessons, we have embarked on the Vertebrate Genomes Project (VGP), an international effort to generate high-quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shane A McCarthy
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | - Joana Damas
- The Genome Center, University of California Davis, Davis, CA, USA
| | - Giulio Formenti
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marcela Uliano-Silva
- Leibniz Institute for Zoo and Wildlife Research, Department of Evolutionary Genetics, Berlin, Germany
- Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
| | | | | | - Juwan Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Byung June Ko
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Mark Chaisson
- University of Southern California, Los Angeles, CA, USA
| | - Gregory L Gedman
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Lindsey J Cantin
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Francoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Iliana Bista
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | | | - Bettina Haase
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | | | - Sylke Winkler
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- DRESDEN-concept Genome Center, Dresden, Germany
| | - Sadye Paez
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | | | - Sonja C Vernes
- Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- School of Biology, University of St Andrews, St Andrews, UK
| | - Tanya M Lama
- University of Massachusetts Cooperative Fish and Wildlife Research Unit, Amherst, MA, USA
| | - Frank Grutzner
- School of Biological Science, The Environment Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Wesley C Warren
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | | | - Dave Burt
- UQ Genomics, University of Queensland, Brisbane, Queensland, Australia
| | - Julia M George
- Department of Biological Sciences, Clemson University, Clemson, SC, USA
| | - Matthew T Biegler
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - David Iorns
- The Genetic Rescue Foundation, Wellington, New Zealand
| | - Andrew Digby
- Kākāpō Recovery, Department of Conservation, Invercargill, New Zealand
| | - Daryl Eason
- Kākāpō Recovery, Department of Conservation, Invercargill, New Zealand
| | - Bruce Robertson
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | | | - Mark Wilkinson
- Department of Life Sciences, Natural History Museum, London, UK
| | - George Turner
- School of Natural Sciences, Bangor University, Gwynedd, UK
| | - Axel Meyer
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Andreas F Kautt
- Department of Biology, University of Konstanz, Konstanz, Germany
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Paolo Franchini
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - H William Detrich
- Department of Marine and Environmental Sciences, Northeastern University Marine Science Center, Nahant, MA, USA
| | - Hannes Svardal
- Department of Biology, University of Antwerp, Antwerp, Belgium
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Maximilian Wagner
- Institute of Biology, Karl-Franzens University of Graz, Graz, Austria
| | - Gavin J P Naylor
- Florida Museum of Natural History, University of Florida, Gainesville, FL, USA
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Center for Systems Biology, Dresden, Germany
| | - Milan Malinsky
- Wellcome Sanger Institute, Cambridge, UK
- Zoological Institute, University of Basel, Basel, Switzerland
| | | | | | | | - Trevor Pesout
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | | | | | | | | | | | - Ivan Sović
- Pacific Biosciences, Menlo Park, CA, USA
- Digital BioLogic, Ivanić-Grad, Croatia
| | | | - Zemin Ning
- Wellcome Sanger Institute, Cambridge, UK
| | | | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | | | - Richard E Green
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
- Dovetail Genomics, Santa Cruz, CA, USA
| | | | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Jay Ghurye
- Dovetail Genomics, Santa Cruz, CA, USA
- Department of Computer Science, University of Maryland College Park, College Park, MD, USA
| | - Erik Garrison
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Ying Sims
- Wellcome Sanger Institute, Cambridge, UK
| | | | | | | | | | | | | | - Dengfeng Guan
- Department of Genetics, University of Cambridge, Cambridge, UK
- School of Computer Science and Technology, Center for Bioinformatics, Harbin Institute of Technology, Harbin, China
| | - Sarah E London
- Department of Psychology, Institute for Mind and Biology, University of Chicago, Chicago, IL, USA
| | - David F Clayton
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA
| | - Claudio V Mello
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Samantha R Friedrich
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Peter V Lovell
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Ekaterina Osipova
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Center for Systems Biology, Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Dresden, Germany
| | - Farooq O Al-Ajli
- Monash University Malaysia Genomics Facility, School of Science, Selangor Darul Ehsan, Malaysia
- Tropical Medicine and Biology Multidisciplinary Platform, Monash University Malaysia, Selangor Darul Ehsan, Malaysia
- Qatar Falcon Genome Project, Doha, Qatar
| | | | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- eGnome, Inc., Seoul, Republic of Korea
| | | | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, Frankfurt, Germany
- Senckenberg Research Institute, Frankfurt, Germany
- Goethe-University, Faculty of Biosciences, Frankfurt, Germany
| | | | - Robert S Harris
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Kateryna D Makova
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Center for Medical Genomics, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
| | - Paul Medvedev
- Center for Medical Genomics, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
- Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Karen Clark
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Fergal Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Kevin Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Woori Kwak
- eGnome, Inc., Seoul, Republic of Korea
- Hoonygen, Seoul, Korea
| | - Hiram Clawson
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Luis Nassar
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Robert H S Kraus
- Department of Biology, University of Konstanz, Konstanz, Germany
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
| | - Andrew J Crawford
- Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Guojie Zhang
- China National Genebank, BGI-Shenzhen, Shenzhen, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Byrappa Venkatesh
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, Singapore
| | - Robert W Murphy
- Centre for Biodiversity, Royal Ontario Museum, Toronto, Ontario, Canada
| | - Klaus-Peter Koepfli
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Warren E Johnson
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
- The Walter Reed Biosystematics Unit, Museum Support Center MRC-534, Smithsonian Institution, Suitland, MD, USA
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Federica Di Palma
- Department of Biological Sciences, Earlham Institute, University of East Anglia, Norwich, UK
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Emma C Teeling
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Tandy Warnow
- Department of Computer Science, The University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | | | - Oliver A Ryder
- San Diego Zoo Global, Escondido, CA, USA
- Department of Evolution, Behavior, and Ecology, University of California San Diego, La Jolla, CA, USA
| | - David Haussler
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Stephen J O'Brien
- Laboratory of Genomics Diversity-Center for Computer Technologies, ITMO University, St. Petersburg, Russian Federation
- Guy Harvey Oceanographic Center, Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Fort Lauderdale, FL, USA
| | | | - Harris A Lewin
- The Genome Center, University of California Davis, Davis, CA, USA
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
- John Muir Institute for the Environment, University of California Davis, Davis, CA, USA
| | | | - Eugene W Myers
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
- Center for Systems Biology, Dresden, Germany.
- Faculty of Computer Science, Technical University Dresden, Dresden, Germany.
| | - Richard Durbin
- Department of Genetics, University of Cambridge, Cambridge, UK.
- Wellcome Sanger Institute, Cambridge, UK.
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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11
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Fox-Lewis A, Fox-Lewis S, Beaumont J, Drinković D, Harrower J, Howe K, Jackson C, Rahnama F, Shilton B, Qiao H, Smith KK, Morpeth SC, Taylor S, Blakiston M, Roberts S, McAuliffe G. SARS-CoV-2 viral load dynamics and real-time RT-PCR cycle threshold interpretation in symptomatic non-hospitalised individuals in New Zealand: a multicentre cross sectional observational study. Pathology 2021; 53:530-535. [PMID: 33838922 PMCID: PMC7980174 DOI: 10.1016/j.pathol.2021.01.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/14/2020] [Accepted: 01/15/2021] [Indexed: 12/27/2022]
Abstract
We conducted a multicentre cross sectional observational study of laboratory, public health and hospitalisation data for PCR-confirmed COVID-19 cases within the New Zealand Northern Region, between 12 February and 8 June 2020. The aim of this study was to describe population level SARS-CoV-2 upper respiratory tract (URT) viral load dynamics by stratifying positivity rates and polymerase chain reaction (PCR) cycle threshold (Ct) values of URT samples from COVID-19 cases by days since symptom onset, and to explore utility of Ct values in determining length of time post-infection and thus potential infectivity. Of 123,124 samples tested for SARS-CoV-2 by PCR, 579 samples (407 positive and 172 negative) from 368 symptomatic non-hospitalised individuals with PCR-confirmed infection were included. Sample positivity rate was 61.5% (8/13) for pre-symptomatic samples, rising to 93.2% (317/340) for samples collected during the purported symptomatic infectious period (days 0–10 post-symptom onset), and dropping to 36.3% (82/226) for post-infectious period samples (day 11 onwards). URT viral load peaked shortly after symptom onset, with median Ct values ranging 20.00–29.99 until 15 days post-symptom onset, and >30.00 after this time. Of samples with a Ct value of <20.00, 96.1% were collected during the symptomatic infectious period. However, of samples with a Ct value ≥30.00 and ≥35.00, 46.9% and 18.5%, respectively, were also collected during the symptomatic infectious period. The findings of this study indicate that at or soon after symptom onset represents the optimum time to test for SARS-CoV-2 in the URT, with median Ct values suggesting the useful testing window extends until around 15 days post-symptom onset. In asymptomatic individuals or those with unknown dates of symptom onset, Ct values <20.00 imply recent onset/potential infectivity, but Ct values ≥30.00 or ≥35.00 do not exclude recent onset/potential infectivity. Individual sample Ct values should not be used as an absolute marker of length of time post-infection or to exclude infectivity where date of symptom onset is unavailable.
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Affiliation(s)
- Andrew Fox-Lewis
- Microbiology Department, LabPLUS, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand
| | - Shivani Fox-Lewis
- Virology-Immunology Department, LabPLUS, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand.
| | - Jenna Beaumont
- Microbiology Department, Middlemore Hospital, Counties Manukau District Health Board, Auckland, New Zealand
| | - Dragana Drinković
- Microbiology Department, North Shore Hospital, Waitematā District Health Board, Auckland, New Zealand
| | - Jay Harrower
- Auckland Regional Public Health Service, Auckland District Health Board, Auckland, New Zealand
| | - Kevin Howe
- Auckland Regional Public Health Service, Auckland District Health Board, Auckland, New Zealand
| | - Catherine Jackson
- Nga Tai Ora Public Health Northland, Northland District Health Board, Whangarei, New Zealand
| | - Fahimeh Rahnama
- Virology-Immunology Department, LabPLUS, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand
| | | | - Helen Qiao
- Microbiology Department, Middlemore Hospital, Counties Manukau District Health Board, Auckland, New Zealand
| | - Kevin K Smith
- Microbiology Department, North Shore Hospital, Waitematā District Health Board, Auckland, New Zealand
| | - Susan C Morpeth
- Microbiology Department, Middlemore Hospital, Counties Manukau District Health Board, Auckland, New Zealand
| | - Susan Taylor
- Microbiology Department, Middlemore Hospital, Counties Manukau District Health Board, Auckland, New Zealand
| | - Matthew Blakiston
- Microbiology Department, LabPLUS, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand; Labtests, Auckland, New Zealand
| | - Sally Roberts
- Microbiology Department, LabPLUS, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand
| | - Gary McAuliffe
- Virology-Immunology Department, LabPLUS, Auckland City Hospital, Auckland District Health Board, Auckland, New Zealand; Labtests, Auckland, New Zealand
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12
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Wong WR, Brugman KI, Maher S, Oh JY, Howe K, Kato M, Sternberg PW. Autism-associated missense genetic variants impact locomotion and neurodevelopment in Caenorhabditis elegans. Hum Mol Genet 2020; 28:2271-2281. [PMID: 31220273 DOI: 10.1093/hmg/ddz051] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 02/27/2019] [Accepted: 03/04/2019] [Indexed: 01/17/2023] Open
Abstract
Autism spectrum disorder (ASD) involves thousands of alleles in over 850 genes, but the current functional inference tools are not sufficient to predict phenotypic changes. As a result, the causal relationship of most of these genetic variants in the pathogenesis of ASD has not yet been demonstrated and an experimental method prioritizing missense alleles for further intensive analysis is crucial. For this purpose, we have designed a pipeline that uses Caenorhabditis elegans as a genetic model to screen for phenotype-changing missense alleles inferred from human ASD studies. We identified highly conserved human ASD-associated missense variants in their C. elegans orthologs, used a CRISPR/Cas9-mediated homology-directed knock-in strategy to generate missense mutants and analyzed their impact on behaviors and development via several broad-spectrum assays. All tested missense alleles were predicted to perturb protein function, but we found only 70% of them showed detectable phenotypic changes in morphology, locomotion or fecundity. Our findings indicate that certain missense variants in the C. elegans orthologs of human CACNA1D, CHD7, CHD8, CUL3, DLG4, GLRA2, NAA15, PTEN, SYNGAP1 and TPH2 impact neurodevelopment and movement functions, elevating these genes as candidates for future study into ASD. Our approach will help prioritize functionally important missense variants for detailed studies in vertebrate models and human cells.
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Affiliation(s)
- Wan-Rong Wong
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Katherine I Brugman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Shayda Maher
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Jun Young Oh
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Kevin Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
| | - Mihoko Kato
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Paul W Sternberg
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
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Ye Z, Sangireddy SR, Yu CL, Hui D, Howe K, Fish T, Thannhauser TW, Zhou S. Comparative Proteomics of Root Apex and Root Elongation Zones Provides Insights into Molecular Mechanisms for Drought Stress and Recovery Adjustment in Switchgrass. Proteomes 2020; 8:3. [PMID: 32092968 PMCID: PMC7151713 DOI: 10.3390/proteomes8010003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/05/2020] [Accepted: 02/14/2020] [Indexed: 11/17/2022] Open
Abstract
Switchgrass plants were grown in a Sandwich tube system to induce gradual drought stress by withholding watering. After 29 days, the leaf photosynthetic rate decreased significantly, compared to the control plants which were watered regularly. The drought-treated plants recovered to the same leaf water content after three days of re-watering. The root tip (1cm basal fragment, designated as RT1 hereafter) and the elongation/maturation zone (the next upper 1 cm tissue, designated as RT2 hereafter) tissues were collected at the 29th day of drought stress treatment, (named SDT for severe drought treated), after one (D1W) and three days (D3W) of re-watering. The tandem mass tags mass spectrometry-based quantitative proteomics analysis was performed to identify the proteomes, and drought-induced differentially accumulated proteins (DAPs). From RT1 tissues, 6156, 7687, and 7699 proteins were quantified, and 296, 535, and 384 DAPs were identified in the SDT, D1W, and D3W samples, respectively. From RT2 tissues, 7382, 7255, and 6883 proteins were quantified, and 393, 587, and 321 proteins DAPs were identified in the SDT, D1W, and D3W samples. Between RT1 and RT2 tissues, very few DAPs overlapped at SDT, but the number of such proteins increased during the recovery phase. A large number of hydrophilic proteins and stress-responsive proteins were induced during SDT and remained at a higher level during the recovery stages. A large number of DAPs in RT1 tissues maintained the same expression pattern throughout drought treatment and the recovery phases. The DAPs in RT1 tissues were classified in cell proliferation, mitotic cell division, and chromatin modification, and those in RT2 were placed in cell wall remodeling and cell expansion processes. This study provided information pertaining to root zone-specific proteome changes during drought and recover phases, which will allow us to select proteins (genes) as better defined targets for developing drought tolerant plants. The mass spectrometry proteomics data are available via ProteomeXchange with identifier PXD017441.
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Affiliation(s)
- Zhujia Ye
- Department of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, 3500 John Merritt Blvd, Nashville, TN 37209, USA; (Z.Y.); (S.R.S.)
| | - Sasikiran Reddy Sangireddy
- Department of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, 3500 John Merritt Blvd, Nashville, TN 37209, USA; (Z.Y.); (S.R.S.)
| | - Chih-Li Yu
- Department of Biological Sciences, Tennessee State University, 3500 John Merritt Blvd, Nashville, TN 37209, USA; (C.-L.Y.); (D.H.)
| | - Dafeng Hui
- Department of Biological Sciences, Tennessee State University, 3500 John Merritt Blvd, Nashville, TN 37209, USA; (C.-L.Y.); (D.H.)
| | - Kevin Howe
- Functional & Comparative Proteomics Center, USDA-ARS, Ithaca, NY 14853, USA; (K.H.); (T.F.)
| | - Tara Fish
- Functional & Comparative Proteomics Center, USDA-ARS, Ithaca, NY 14853, USA; (K.H.); (T.F.)
| | | | - Suping Zhou
- Department of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, 3500 John Merritt Blvd, Nashville, TN 37209, USA; (Z.Y.); (S.R.S.)
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Daugherty CE, Lento HG, Adams ML, Beckert EW, Bender ML, Berman S, Chow L, Davis C, Gedang D, Howe K, Murphy MJ, Porcuna M, Sabolish G, Shen CSJ, Smith NM, Tessaro A. Chloroform-Methanol Extraction Method for Determination of Fat in Foods: Collaborative Study. J AOAC Int 2020. [DOI: 10.1093/jaoac/66.4.927] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Achloroform-methanol extraction method (complete extraction of fat in 3 min) for determining fat in processed and prepared foods has been studied collaboratively. Fourteen collaborators reported single replicate fat results on 7 samples representative of various food types and 2 spiked samples by the proposed method. Each sample was accompanied by a blind duplicate. For statistical purposes, the blind duplicates were treated as paired observations, and there were 2 laboratory outliers. There was a 97.9% agreement among the results from the remaining 12 collaborators and the Associate Referee for the unfortified samples. Recoveries of 93.8 and 98.3% were obtained on fortified samples, based on results obtained from 11 collaborators. The statistical analysis of the results indicate (ranges for standard deviations were Sr = 0.083-0.528, Sb = 0.101-0.379, Sd = 8.130-0.631, for fat values ranging from 1.58 to 26.91%) that this method is adequate for quantitating the fat content in a wide variety of processed foods for nutritional labeling. The method has been adopted official first action.
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Affiliation(s)
- Chester E Daugherty
- Campbell Institute for Research and Technology, Campbell Soup Co., Camden, Nf 08101
| | - Harry G Lento
- Campbell Institute for Research and Technology, Campbell Soup Co., Camden, Nf 08101
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Chin EL, Ramsey JS, Mishchuk DO, Saha S, Foster E, Chavez JD, Howe K, Zhong X, Polek M, Godfrey KE, Mueller LA, Bruce JE, Heck M, Slupsky CM. Longitudinal Transcriptomic, Proteomic, and Metabolomic Analyses of Citrus sinensis (L.) Osbeck Graft-Inoculated with " Candidatus Liberibacter asiaticus". J Proteome Res 2020; 19:719-732. [PMID: 31885275 DOI: 10.1021/acs.jproteome.9b00616] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
"Candidatus Liberibacter asiaticus" (CLas) is the bacterium associated with the citrus disease Huanglongbing (HLB). Current CLas detection methods are unreliable during presymptomatic infection, and understanding CLas pathogenicity to help develop new detection techniques is challenging because CLas has yet to be isolated in pure culture. To understand how CLas affects citrus metabolism and whether infected plants produce systemic signals that can be used to develop improved detection techniques, leaves from Washington Navel orange (Citrus sinensis (L.) Osbeck) plants were graft-inoculated with CLas and longitudinally studied using transcriptomics (RNA sequencing), proteomics (liquid chromatography-tandem mass spectrometry), and metabolomics (proton nuclear magnetic resonance). Photosynthesis gene expression and protein levels were lower in infected plants compared to controls during late infection, and lower levels of photosynthesis proteins were identified as early as 8 weeks post-grafting. These changes coordinated with higher sugar concentrations, which have been shown to accumulate during HLB. Cell wall modification and degradation gene expression and proteins were higher in infected plants during late infection. Changes in gene expression and proteins related to plant defense were observed in infected plants as early as 8 weeks post-grafting. These results reveal coordinated changes in greenhouse navel leaves during CLas infection at the transcript, protein, and metabolite levels, which can inform of biomarkers of early infection.
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Affiliation(s)
- Elizabeth L Chin
- Department of Food Science and Technology , University of California, Davis , Davis , California 95616 , United States
| | - John S Ramsey
- Emerging Pests and Pathogens Research Unit, Robert W. Holley Center for Agriculture and Health , USDA Agricultural Research Service , Ithaca , New York 14853 , United States.,Boyce Thompson Institute for Plant Research , Ithaca , New York 14853 , United States
| | - Darya O Mishchuk
- Department of Food Science and Technology , University of California, Davis , Davis , California 95616 , United States
| | - Surya Saha
- Boyce Thompson Institute for Plant Research , Ithaca , New York 14853 , United States
| | - Elizabeth Foster
- Contained Research Facility , University of California, Davis , Davis , California 95616 , United States
| | - Juan D Chavez
- Department of Genome Sciences , University of Washington , Seattle , Washington 98195 , United States
| | - Kevin Howe
- Emerging Pests and Pathogens Research Unit, Robert W. Holley Center for Agriculture and Health , USDA Agricultural Research Service , Ithaca , New York 14853 , United States.,Boyce Thompson Institute for Plant Research , Ithaca , New York 14853 , United States
| | - Xuefei Zhong
- Department of Genome Sciences , University of Washington , Seattle , Washington 98195 , United States
| | - MaryLou Polek
- National Clonal Germplasm Repository for Citrus & Dates , Riverside , California 92507 , United States
| | - Kris E Godfrey
- Contained Research Facility , University of California, Davis , Davis , California 95616 , United States
| | - Lukas A Mueller
- Boyce Thompson Institute for Plant Research , Ithaca , New York 14853 , United States
| | - James E Bruce
- Department of Genome Sciences , University of Washington , Seattle , Washington 98195 , United States
| | - Michelle Heck
- Emerging Pests and Pathogens Research Unit, Robert W. Holley Center for Agriculture and Health , USDA Agricultural Research Service , Ithaca , New York 14853 , United States.,Boyce Thompson Institute for Plant Research , Ithaca , New York 14853 , United States.,Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science , Cornell University , Ithaca , New York 14853 , United States
| | - Carolyn M Slupsky
- Department of Food Science and Technology , University of California, Davis , Davis , California 95616 , United States
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16
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Howe K, Salehi S, Hartford Bailey R, Brooks JP, Wills R, Lawrence ML, Karsi A. Supplemental invasion of Salmonella from the perspective of Salmonella enterica serovars Kentucky and Typhimurium. BMC Microbiol 2017; 17:88. [PMID: 28381209 PMCID: PMC5382418 DOI: 10.1186/s12866-017-0989-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 03/23/2017] [Indexed: 11/12/2022] Open
Abstract
Background Critical to the development of Salmonellosis in humans is the interaction of the bacterium with the epithelial lining of the gastrointestinal tract. Traditional scientific reasoning held type III secretion system (T3SS) as the virulence factor responsible for bacterial invasion. In this study, field-isolated Salmonella enterica serovar Kentucky and a known human pathogen Salmonella enterica serovar Typhimurium were mutated and evaluated for the invasion of human colorectal adenocarcinoma epithelial cells. Results S. enterica serovar Kentucky was shown to actively invade a eukaryotic monolayer, though at a rate that was significantly lower than Typhimurium. Additionally, strains mutated for T3SS formation were less invasive than the wild-type strains, but the decrease in invasion was not significant in Kentucky. Conclusions Strains mutated for T3SS formation were able to initiate invasion of the eukaryotic monolayer to varying degrees based on strain, In the case of Kentucky, the mutated strain initiated invasion at a level that was not significantly different from the wild-type strain. A different result was observed for Typhimurium as the mutation significantly lowered the rate of invasion in comparison to the wild-type strain.
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Affiliation(s)
- Kevin Howe
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi State, MS, USA
| | - Sanaz Salehi
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi State, MS, USA
| | - R Hartford Bailey
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi State, MS, USA.
| | - John P Brooks
- USDA-ARS, Genetics and Precision Agriculture Unit, Mississippi State, MS, USA
| | - Robert Wills
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi State, MS, USA
| | - Mark L Lawrence
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA
| | - Attila Karsi
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, USA.
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17
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Howe K, James N, Gladding P, Prabhakar C, Gavin A, Dawson L. Predicting CRT Response Using Machine Learning Analysis of Pre-Implant ECG Data. Heart Lung Circ 2017. [DOI: 10.1016/j.hlc.2017.06.331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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18
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Salehi S, Howe K, Brooks J, Lawrence ML, Bailey RH, Karsi A. Identification of Salmonella enterica serovar Kentucky genes involved in attachment to chicken skin. BMC Microbiol 2016; 16:168. [PMID: 27473153 PMCID: PMC4966735 DOI: 10.1186/s12866-016-0781-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Accepted: 07/15/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Regardless of sanitation practices implemented to reduce Salmonella prevalence in poultry processing plants, the problem continues to be an issue. To gain an understanding of the attachment mechanism of Salmonella to broiler skin, a bioluminescent-based mutant screening assay was used. A random mutant library of a field-isolated bioluminescent strain of Salmonella enterica serovar Kentucky was constructed. Mutants' attachment to chicken skin was assessed in 96-well plates containing uniform 6 mm diameter pieces of circular chicken skin. After washing steps, mutants with reduced attachment were selected based on reduced bioluminescence, and transposon insertion sites were identified. RESULTS Attachment attenuation was detected in transposon mutants with insertion in genes encoding flagella biosynthesis, lipopolysaccharide core biosynthesis protein, tryptophan biosynthesis, amino acid catabolism pathway, shikimate pathway, tricarboxylic acid (TCA) cycle, conjugative transfer system, multidrug resistant protein, and ATP-binding cassette (ABC) transporter system. In particular, mutations in S. Kentucky flagellar biosynthesis genes (flgA, flgC, flgK, flhB, and flgJ) led to the poorest attachment of the bacterium to skin. CONCLUSIONS The current study indicates that attachment of Salmonella to broiler skin is a multifactorial process, in which flagella play an important role.
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Affiliation(s)
- Sanaz Salehi
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi, USA
| | - Kevin Howe
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi, USA
| | - John Brooks
- USDA-ARS, Genetics and Precision Agriculture Unit, Mississippi State, Mississippi, USA
| | - Mark L. Lawrence
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi, USA
| | - R. Hartford Bailey
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi, USA
| | - Attila Karsi
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi, USA
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19
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Aken BL, Ayling S, Barrell D, Clarke L, Curwen V, Fairley S, Fernandez Banet J, Billis K, García Girón C, Hourlier T, Howe K, Kähäri A, Kokocinski F, Martin FJ, Murphy DN, Nag R, Ruffier M, Schuster M, Tang YA, Vogel JH, White S, Zadissa A, Flicek P, Searle SMJ. The Ensembl gene annotation system. Database (Oxford) 2016; 2016:baw093. [PMID: 27337980 PMCID: PMC4919035 DOI: 10.1093/database/baw093] [Citation(s) in RCA: 638] [Impact Index Per Article: 79.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 05/09/2016] [Indexed: 12/12/2022]
Abstract
The Ensembl gene annotation system has been used to annotate over 70 different vertebrate species across a wide range of genome projects. Furthermore, it generates the automatic alignment-based annotation for the human and mouse GENCODE gene sets. The system is based on the alignment of biological sequences, including cDNAs, proteins and RNA-seq reads, to the target genome in order to construct candidate transcript models. Careful assessment and filtering of these candidate transcripts ultimately leads to the final gene set, which is made available on the Ensembl website. Here, we describe the annotation process in detail.Database URL: http://www.ensembl.org/index.html.
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Affiliation(s)
- Bronwen L Aken
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Sarah Ayling
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK Present addresses: The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK
| | - Daniel Barrell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK Eagle Genomics Ltd, Babraham Research Campus, Cambridge CB22 3AT, UK
| | - Laura Clarke
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Valery Curwen
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Susan Fairley
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Julio Fernandez Banet
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK Pfizer Inc, 10646 Science Center Dr, San Diego, CA 92121, USA
| | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Carlos García Girón
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Kevin Howe
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andreas Kähäri
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK Institutionen för cell-och molekylärbiologi, Uppsala University, Husargatan 3, Uppsala 752 37, Sweden
| | - Felix Kokocinski
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Daniel N Murphy
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Rishi Nag
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Magali Ruffier
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Michael Schuster
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna a-1090, Austria
| | - Y Amy Tang
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jan-Hinnerk Vogel
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK Genentech Inc, 1 DNA Way, South San Francisco, CA 94080, USA
| | - Simon White
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Amonida Zadissa
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Stephen M J Searle
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
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Abstract
In the early stage of the C. elegans sequencing project, the ab initio gene prediction program Genefinder was used to find protein-coding genes. Subsequently, protein-coding genes structures have been actively curated by WormBase using evidence from all available data sources. Most coding loci were identified by the Genefinder program, but the process of gene curation results in a continual refinement of the details of gene structure, involving the correction and confirmation of intron splice sites, the addition of alternate splicing forms, the merging and splitting of incorrect predictions, and the creation and extension of 5' and 3' ends. The development of new technologies results in the availability of further data sources, and these are incorporated into the evidence used to support the curated structures. Non-coding genes are more difficult to curate using this methodology, and so the structures for most of these have been imported from the literature or from specialist databases of ncRNA data. This article describes the structure and curation of transcribed regions of genes.
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Affiliation(s)
- John Spieth
- Genome Sequencing Center, Washington University School of Medicine, St. Louis, MO 63108 USA
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Classen CF, William D, Linnebacher M, Farhod A, Kedr W, Elsabe B, Fadel S, Van Gool S, De Vleeschouwer S, Koks C, Garg A, Ehrhardt M, Riva M, De Vleeschouwer S, Agostinis P, Graf N, Van Gool S, Yao TW, Yoshida Y, Zhang J, Ozawa T, James D, Nicolaides T, Kebudi R, Cakir FB, Gorgun O, Agaoglu FY, Darendeliler E, Van Gool S, De Vleeschouwer S, Al-Kofide A, Al-Shail E, Khafaga Y, Al-Hindi H, Dababo M, Haq AU, Anas M, Barria MG, Siddiqui K, Hassounah M, Ayas M, van Zanten SV, Jansen M, van Vuurden D, Huisman M, Vugts D, Hoekstra O, van Dongen G, Kaspers G, Cockle J, Ilett E, Scott K, Bruning-Richardson A, Picton S, Short S, Melcher A, Benesch M, Warmuth-Metz M, von Bueren AO, Hoffmann M, Pietsch T, Kortmann RD, Eyrich M, Graf N, Rutkowski S, Fruhwald MC, Faber J, Kramm C, Porkholm M, Valanne L, Lonnqvist T, Holm S, Lannering B, Riikonen P, Wojcik D, Sehested A, Clausen N, Harila-Saari A, Schomerus E, Thorarinsdottir HK, Lahteenmaki P, Arola M, Thomassen H, Saarinen-Pihkala UM, Kivivuori SM, Buczkowicz P, Hoeman C, Rakopoulos P, Pajovic S, Morrison A, Bouffet E, Bartels U, Becher O, Hawkins C, Gould TWA, Rahman CV, Smith SJ, Barrett DA, Shakesheff KM, Grundy RG, Rahman R, Barua N, Cronin D, Gill S, Lowisl S, Hochart A, Maurage CA, Rocourt N, Vinchon M, Kerdraon O, Escande F, Grill J, Pick VK, Leblond P, Burzynski G, Janicki T, Burzynski S, Marszalek A, Ramani N, Zaky W, Kannan G, Morani A, Sandberg D, Ketonen L, Maher O, Corrales-Medina F, Meador H, Khatua S, Brassesco M, Delsin L, Roberto G, Silva C, Ana L, Rego E, Scrideli C, Umezawa K, Tone L, Kim SJ, Kim CY, Kim IA, Han JH, Choi BS, Ahn HS, Choi HS, Haque F, Rahman R, Layfield R, Grundy R, Gandola L, Pecori E, Biassoni V, Schiavello E, Chiruzzi C, Spreafico F, Modena P, Bach F, Pignoli E, Massimino M, Drogosiewicz M, Dembowska-Baginska B, Jurkiewicz E, Filipek I, Perek-Polnik M, Swieszkowska E, Perek D, Bender S, Jones DT, Warnatz HJ, Hutter B, Zichner T, Gronych J, Korshunov A, Eils R, Korbel JO, Yaspo ML, Lichter P, Pfister SM, Yadavilli S, Becher OJ, Kambhampati M, Packer RJ, Nazarian J, Lechon FC, Fowkes L, Khabra K, Martin-Retortillo LM, Marshall LV, Vaidya S, Koh DM, Leach MO, Pearson AD, Zacharoulis S, Lechon FC, Fowkes L, Khabra K, Martin-Retortillo LM, Marshall LV, Schrey D, Barone G, Vaidya S, Koh DM, Pearson AD, Zacharoulis S, Panditharatna E, Stampar M, Siu A, Gordish-Dressman H, Devaney J, Kambhampati M, Hwang EI, Packer RJ, Nazarian J, Chung AH, Mittapalli RK, Elmquist WF, Becher OJ, Castel D, Debily MA, Philippe C, Truffaux N, Taylor K, Calmon R, Boddaert N, Le Dret L, Saulnier P, Lacroix L, Mackay A, Jones C, Puget S, Sainte-Rose C, Blauwblomme T, Varlet P, Grill J, Entz-Werle N, Maugard C, Bougeard G, Nguyen A, Chenard MP, Schneider A, Gaub MP, Tsoli M, Vanniasinghe A, Luk P, Dilda P, Haber M, Hogg P, Ziegler D, Simon S, Tsoli M, Vanniasinghe A, Monje M, Gurova K, Gudkov A, Haber M, Ziegler D, Zapotocky M, Churackova M, Malinova B, Zamecnik J, Kyncl M, Tichy M, Puchmajerova A, Stary J, Sumerauer D, Boult J, Vinci M, Taylor K, Perryman L, Box G, Jury A, Popov S, Ingram W, Monje M, Eccles S, Jones C, Robinson S, Emir S, Demir HA, Bayram C, Cetindag F, Kabacam GB, Fettah A, Boult J, Li J, Vinci M, Jury A, Popov S, Jamin Y, Cummings C, Eccles S, Bamber J, Sinkus R, Jones C, Robinson S, Nandhabalan M, Bjerke L, Vinci M, Burford A, Ingram W, Mackay A, von Bueren A, Baudis M, Clarke P, Collins I, Workman P, Jones C, Taylor K, Mackay A, Vinci M, Popov S, Ingram W, Entz-Werle N, Monje M, Olaciregui N, Mora J, Carcaboso A, Bullock A, Jones C, Vinci M, Mackay A, Burford A, Taylor K, Popov S, Ingram W, Monje M, Alonso M, Olaciregui N, de Torres C, Cruz O, Mora J, Carcaboso A, Jones C, Filipek I, Drogosiewicz M, Perek-Polnik M, Swieszkowska E, Dembowska-Baginska B, Jurkiewicz E, Perek D, Nguyen A, Pencreach E, Mackay A, Moussalieh FM, Guenot D, Namer I, Chenard MP, Jones C, Entz-Werle N, Pollack I, Jakacki R, Butterfield L, Hamilton R, Panigrahy A, Potter D, Connelly A, Dibridge S, Whiteside T, Okada H, Ahsan S, Raabe E, Haffner M, Warren K, Quezado M, Ballester L, Nazarian J, Eberhart C, Rodriguez F, Ramachandran C, Nair S, Quirrin KW, Khatib Z, Escalon E, Melnick S, Classen CF, Hofmann M, Schmid I, Simon T, Maass E, Russo A, Fleischhack G, Becker M, Hauch H, Sander A, Kramm C, Grasso C, Truffaux N, Berlow N, Liu L, Debily MA, Davis L, Huang E, Woo P, Tang Y, Ponnuswami A, Chen S, Huang Y, Hutt-Cabezas M, Warren K, Dret L, Meltzer P, Mao H, Quezado M, van Vuurden D, Abraham J, Fouladi M, Svalina MN, Wang N, Hawkins C, Raabe E, Hulleman E, Li XN, Keller C, Spellman PT, Pal R, Grill J, Monje M, Jansen MHA, Sewing ACP, Lagerweij T, Vuchts DJ, van Vuurden DG, Caretti V, Wesseling P, Kaspers GJL, Hulleman E, Cohen K, Raabe E, Pearl M, Kogiso M, Zhang L, Qi L, Lindsay H, Lin F, Berg S, Li XN, Muscal J, Amayiri N, Tabori U, Campbel B, Bakry D, Aronson M, Durno C, Gallinger S, Malkin D, Qaddumi I, Musharbash A, Swaidan M, Bouffet E, Hawkins C, Al-Hussaini M, Rakopoulos P, Shandilya S, McCully C, Murphy R, Akshintala S, Cole D, Macallister RP, Cruz R, Widemann B, Warren K, Salloum R, Smith A, Glaunert M, Ramkissoon A, Peterson S, Baker S, Chow L, Sandgren J, Pfeifer S, Popova S, Alafuzoff I, de Stahl TD, Pietschmann S, Kerber MJ, Zwiener I, Henke G, Kortmann RD, Muller K, von Bueren A, Sieow NYF, Hoe RHM, Tan AM, Chan MY, Soh SY, Hawkins C, Burrell K, Chornenkyy Y, Remke M, Golbourn B, Buczkowicz P, Barzczyk M, Taylor M, Rutka J, Dirks P, Zadeh G, Agnihotri S, Hashizume R, Ihara Y, Andor N, Chen X, Lerner R, Huang X, Tom M, Solomon D, Mueller S, Petritsch C, Zhang Z, Gupta N, Waldman T, James D, Dujua A, Co J, Hernandez F, Doromal D, Hegde M, Wakefield A, Brawley V, Grada Z, Byrd T, Chow K, Krebs S, Heslop H, Gottschalk S, Yvon E, Ahmed N, Truffaux N, Philippe C, Cornilleau G, Paulsson J, Andreiuolo F, Guerrini-Rousseau L, Puget S, Geoerger B, Vassal G, Ostman A, Grill J, Parsons DW, Lin F, Trevino LR, Gao F, Shen X, Hampton O, Lindsay H, Kosigo M, Qi L, Baxter PA, Su JM, Chintagumpala M, Dauser R, Adesina A, Plon SE, Li XN, Wheeler DA, Lau CC, Pietsch T, Gielen G, Muehlen AZ, Kwiecien R, Wolff J, Kramm C, Lulla RR, Laskowski J, Goldman S, Gopalakrishnan V, Fangusaro J, Mackay A, Taylor K, Vinci M, Jones C, Kieran M, Fontebasso A, Papillon-Cavanagh S, Schwartzentruber J, Nikbakht H, Gerges N, Fiset PO, Bechet D, Faury D, De Jay N, Ramkissoon L, Corcoran A, Jones D, Sturm D, Johann P, Tomita T, Goldman S, Nagib M, Bendel A, Goumnerova L, Bowers DC, Leonard JR, Rubin JB, Alden T, DiPatri A, Browd S, Leary S, Jallo G, Cohen K, Prados MD, Banerjee A, Carret AS, Ellezam B, Crevier L, Klekner A, Bognar L, Hauser P, Garami M, Myseros J, Dong Z, Siegel PM, Gump W, Ayyanar K, Ragheb J, Khatib Z, Krieger M, Kiehna E, Robison N, Harter D, Gardner S, Handler M, Foreman N, Brahma B, MacDonald T, Malkin H, Chi S, Manley P, Bandopadhayay P, Greenspan L, Ligon A, Albrecht S, Pfister SM, Ligon KL, Majewski J, Gupta N, Jabado N, Hoeman C, Cordero F, Halvorson K, Hawkins C, Becher O, Taylor I, Hutt M, Weingart M, Price A, Nazarian J, Eberhart C, Raabe E, Kantar M, Onen S, Kamer S, Turhan T, Kitis O, Ertan Y, Cetingul N, Anacak Y, Akalin T, Ersahin Y, Mason G, Nazarian J, Ho C, Devaney J, Stampar M, Kambhampati M, Crozier F, Vezina G, Packer R, Hwang E, Gilheeney S, Millard N, DeBraganca K, Khakoo Y, Kramer K, Wolden S, Donzelli M, Fischer C, Petriccione M, Dunkel I, Afzal S, Carret AS, Fleming A, Larouche V, Zelcer S, Johnston DL, Kostova M, Mpofu C, Decarie JC, Strother D, Lafay-Cousin L, Eisenstat D, Fryer C, Hukin J, Bartels U, Bouffet E, Hsu M, Lasky J, Moore T, Liau L, Davidson T, Prins R, Fouladi M, Bartels U, Warren K, Hassal T, Baugh J, Kirkendall J, Doughman R, Leach J, Jones B, Miles L, Hawkins C, Bouffet E, Hargrave D, Grill J, Jones C, Jacques T, Savage S, Goldman S, Leary S, Packer R, Saunders D, Wesseling P, Varlet P, van Vuurden D, Wallace R, Flutter B, Morgenestern D, Hargrave D, Blanco E, Howe K, Lowdell M, Samuel E, Michalski A, Anderson J, Arakawa Y, Umeda K, Watanabe KI, Mizowaki T, Hiraoka M, Hiramatsu H, Adachi S, Kunieda T, Takagi Y, Miyamoto S, Venneti S, Santi M, Felicella MM, Sullivan LM, Dolgalev I, Martinez D, Perry A, Lewis PW, Allis DC, Thompson CB, Judkins AR. HIGH GRADE GLIOMAS AND DIPG. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Thannhauser TW, Shen M, Sherwood R, Howe K, Fish T, Yang Y, Chen W, Zhang S. A workflow for large-scale empirical identification of cell wall N-linked glycoproteins of tomato (Solanum lycopersicum) fruit by tandem mass spectrometry. Electrophoresis 2014; 34:2417-31. [PMID: 23580464 DOI: 10.1002/elps.201200656] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2012] [Revised: 01/11/2013] [Accepted: 01/24/2013] [Indexed: 11/09/2022]
Abstract
Glycosylation is a common PTM of plant proteins that impacts a large number of important biological processes. Nevertheless, the impacts of differential site occupancy and the nature of specific glycoforms are obscure. Historically, characterization of glycoproteins has been difficult due to the distinct physicochemical properties of the peptidyl and glycan moieties, the variable and dynamic nature of the glycosylation process, their heterogeneous nature, and the low relative abundance of each glycoform. In this study, we explore a new pipeline developed for large-scale empirical identification of N-linked glycoproteins of tomato fruit as part of our ongoing efforts to characterize the tomato secretome. The workflow presented involves a combination of lectin affinity, tryptic digestion, ion-pairing HILIC, and precursor ion-driven data-dependent MS/MS analysis with a script to facilitate the identification and characterization of occupied N-linked glycosylation sites. A total of 212 glycoproteins were identified in this study, in which 26 glycopeptides from 24 glycoproteins were successfully characterized in just one HILIC fraction. Further precursor ion discovery-based MS/MS and deglycosylation followed by high accuracy and resolution MS analysis were used to confirm the glycosylation sites and determine site occupancy rates. The workflow reported is robust and capable of producing large amounts of empirical data involving N-linked glycosylation sites and their associated glycoforms.
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Affiliation(s)
- Theodore W Thannhauser
- Robert W. Holley Center for Agriculture and Health, USDA-ARS, Cornell University, Ithaca, NY 14853, USA.
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Harris TW, Baran J, Bieri T, Cabunoc A, Chan J, Chen WJ, Davis P, Done J, Grove C, Howe K, Kishore R, Lee R, Li Y, Muller HM, Nakamura C, Ozersky P, Paulini M, Raciti D, Schindelman G, Tuli MA, Van Auken K, Wang D, Wang X, Williams G, Wong JD, Yook K, Schedl T, Hodgkin J, Berriman M, Kersey P, Spieth J, Stein L, Sternberg PW. WormBase 2014: new views of curated biology. Nucleic Acids Res 2013; 42:D789-93. [PMID: 24194605 PMCID: PMC3965043 DOI: 10.1093/nar/gkt1063] [Citation(s) in RCA: 136] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
WormBase (http://www.wormbase.org/) is a highly curated resource dedicated to supporting research using the model organism Caenorhabditis elegans. With an electronic history predating the World Wide Web, WormBase contains information ranging from the sequence and phenotype of individual alleles to genome-wide studies generated using next-generation sequencing technologies. In recent years, we have expanded the contents to include data on additional nematodes of agricultural and medical significance, bringing the knowledge of C. elegans to bear on these systems and providing support for underserved research communities. Manual curation of the primary literature remains a central focus of the WormBase project, providing users with reliable, up-to-date and highly cross-linked information. In this update, we describe efforts to organize the original atomized and highly contextualized curated data into integrated syntheses of discrete biological topics. Next, we discuss our experiences coping with the vast increase in available genome sequences made possible through next-generation sequencing platforms. Finally, we describe some of the features and tools of the new WormBase Web site that help users better find and explore data of interest.
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Affiliation(s)
- Todd W Harris
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada, Genome Sequencing Center, Washington University, School of Medicine, St Louis, MO 63108, USA, Division of Biology and Biological Engineering 156-29, California Institute of Technology, Pasadena, CA 91125, USA, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK, Department of Genetics Campus, Washington University School of Medicine, St. Louis, MO 63110, USA, Genetics Unit, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK and Howard Hughes Medical Institute, California Institute of Technology, Pasadena, CA 91125, USA
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Abstract
WormBase (www.wormbase.org) has been serving the scientific community for over 11 years as the central repository for genomic and genetic information for the soil nematode Caenorhabditis elegans. The resource has evolved from its beginnings as a database housing the genomic sequence and genetic and physical maps of a single species, and now represents the breadth and diversity of nematode research, currently serving genome sequence and annotation for around 20 nematodes. In this article, we focus on WormBase's role of genome sequence annotation, describing how we annotate and integrate data from a growing collection of nematode species and strains. We also review our approaches to sequence curation, and discuss the impact on annotation quality of large functional genomics projects such as modENCODE.
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Affiliation(s)
- Kevin Howe
- European Bioinformatics Institute; Wellcome Trust Genome Campus; Hinxton, Cambridge UK
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Howe K, Eustace A, Souahli S, Browne B, Aherne S, Barron N, Walsh N, Crown J, O'Donovan N. 143 MicroRNA-224 and −375 in Trastuzumab and Lapatinib Acquired and Innate Resistant HER2 Positive Breast Cancer Cells. Eur J Cancer 2012. [DOI: 10.1016/s0959-8049(12)71941-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Cilia M, Peter KA, Bereman MS, Howe K, Fish T, Smith D, Gildow F, MacCoss MJ, Thannhauser TW, Gray SM. Discovery and targeted LC-MS/MS of purified polerovirus reveals differences in the virus-host interactome associated with altered aphid transmission. PLoS One 2012; 7:e48177. [PMID: 23118947 PMCID: PMC3484124 DOI: 10.1371/journal.pone.0048177] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Accepted: 09/21/2012] [Indexed: 11/19/2022] Open
Abstract
Circulative transmission of viruses in the Luteoviridae, such as cereal yellow dwarf virus (CYDV), requires a series of precisely orchestrated interactions between virus, plant, and aphid proteins. Natural selection has favored these viruses to be retained in the phloem to facilitate acquisition and transmission by aphids. We show that treatment of infected oat tissue homogenate with sodium sulfite reduces transmission of the purified virus by aphids. Transmission electron microscopy data indicated no gross change in virion morphology due to treatments. However, treated virions were not acquired by aphids through the hindgut epithelial cells and were not transmitted when injected directly into the hemocoel. Analysis of virus preparations using nanoflow liquid chromatography coupled to tandem mass spectrometry revealed a number of host plant proteins co-purifying with viruses, some of which were lost following sodium sulfite treatment. Using targeted mass spectrometry, we show data suggesting that several of the virus-associated host plant proteins accumulated to higher levels in aphids that were fed on CYDV-infected plants compared to healthy plants. We propose two hypotheses to explain these observations, and these are not mutually exclusive: (a) that sodium sulfite treatment disrupts critical virion-host protein interactions required for aphid transmission, or (b) that host infection with CYDV modulates phloem protein expression in a way that is favorable for virus uptake by aphids. Importantly, the genes coding for the plant proteins associated with virus may be examined as targets in breeding cereal crops for new modes of virus resistance that disrupt phloem-virus or aphid-virus interactions.
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Affiliation(s)
- Michelle Cilia
- Robert W. Holley Center for Agriculture and Health, United States Department of Agriculture-Agricultural Research Service, Ithaca, New York, United States of America
- Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, New York, United States of America
- * E-mail: (MC); (SMG)
| | - Kari A. Peter
- Department of Plant Pathology, Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Michael S. Bereman
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Kevin Howe
- Robert W. Holley Center for Agriculture and Health, United States Department of Agriculture-Agricultural Research Service, Ithaca, New York, United States of America
| | - Tara Fish
- Robert W. Holley Center for Agriculture and Health, United States Department of Agriculture-Agricultural Research Service, Ithaca, New York, United States of America
| | - Dawn Smith
- Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, New York, United States of America
| | - Fredrick Gildow
- Department of Plant Pathology, Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Theodore W. Thannhauser
- Robert W. Holley Center for Agriculture and Health, United States Department of Agriculture-Agricultural Research Service, Ithaca, New York, United States of America
| | - Stewart M. Gray
- Robert W. Holley Center for Agriculture and Health, United States Department of Agriculture-Agricultural Research Service, Ithaca, New York, United States of America
- Department of Plant Pathology and Plant-Microbe Biology, Cornell University, Ithaca, New York, United States of America
- * E-mail: (MC); (SMG)
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Jagoe WN, Howe K, O'Brien SC, Carroll J. Identification of a role for a mouse sperm surface aldo-keto reductase (AKR1B7) and its human analogue in the detoxification of the reactive aldehyde, acrolein. Andrologia 2012; 45:326-31. [DOI: 10.1111/and.12018] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/18/2012] [Indexed: 11/28/2022] Open
Affiliation(s)
- W. N. Jagoe
- School of Biochemistry and Immunology; Trinity College; Dublin University; Dublin; Ireland
| | - K. Howe
- School of Biochemistry and Immunology; Trinity College; Dublin University; Dublin; Ireland
| | - S. C. O'Brien
- School of Biochemistry and Immunology; Trinity College; Dublin University; Dublin; Ireland
| | - J. Carroll
- School of Biochemistry and Immunology; Trinity College; Dublin University; Dublin; Ireland
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Howe K, Eustace A, Souahli S, Browne B, Aherne S, Barron N, Walsh N, Crown J, O'Donovan N. Microrna-9 and -224 In Trastuzumab Resistant HER2 Positive Breast Cancer Cells. Ann Oncol 2012. [DOI: 10.1016/s0923-7534(20)34197-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Himoudi N, Wallace R, Parsley KL, Gilmour K, Barrie AU, Howe K, Dong R, Sebire NJ, Michalski A, Thrasher AJ, Anderson J. Lack of T-cell responses following autologous tumour lysate pulsed dendritic cell vaccination, in patients with relapsed osteosarcoma. Clin Transl Oncol 2012; 14:271-9. [PMID: 22484634 DOI: 10.1007/s12094-012-0795-1] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Immunotherapy using autologous dendritic cell (DC) vaccination has not been systematically evaluated in osteosarcoma. We therefore conducted a phase I trial to assess feasibility, safety and tumour-specific immune responses in patients with relapsed disease. PATIENTS AND METHODS Of 13 recruited patients with relapsed osteosarcoma, 12 received 3 weekly vaccines of autologous DCs matured with autologous tumour lysate and keyhole limpet haemocyanin (KLH), to a maximum of 6 vaccinations. An additional 3 paediatric patients afflicted with other tumour types and with relapsed disease received vaccines generated with identical methodology. Immune responses were assessed using an ELISpot assay for the detection of interferon gamma, whilst interleukin-2 and granzyme B were additionally assessed in cases where interferon-γ responses were induced. RESULTS In total 61 vaccines, of homogeneous maturation phenotype and viability, were administered with no significant toxicity. Only in 2 out of 12 treated osteosarcoma cases was there an induction of specific T-cell immune response to the tumour, whilst a strong but non-specific immune response was induced in 1 further osteosarcoma patient. Immune response against KLH was induced in only 3 out of 12 osteosarcoma patients. In contrast, three additional non-osteosarcoma patients showed significant T-cell responses to vaccine. CONCLUSION We have shown the strategy of DC vaccination in relapsed osteosarcoma is safe and feasible. However, significant anti-tumour responses were induced in only 2 out of 12 vaccinated patients with no evidence of clinical benefit. Comparison of results with identically treated control patients suggests that osteosarcoma patients might be relatively insensitive to DC-based vaccine treatments.
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Affiliation(s)
- N Himoudi
- Unit of Molecular Haematology and Cancer Biology, University College London Institute of Child Health, London, UK
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Nasir AA, Niyonkuru F, Nottidge TE, Adeleye AO, Ali S, Ameh EA, Bekele A, Bonet I, Derbew M, Ekenze SO, Oluwadare E, Jani PG, Labib M, Mezue WC, Mijumbi C, Zimmerman K, Baird R, Carsen S, Dreyer JS, Fairfull Smith RJ, Ferri-de-Barros F, Friedman J, Gill R, Gray A, Howe K, Bhoj I, Poenaru D, Rosen B, Yusuf AS, Abdur-Rahman LO, Ahmed BA, Panikar D, Abraham MK, Petroze RT, Groen RS, Ntaganda E, Kushner AL, Calland JF, Kyamanywa P, Ekrikpo U, Ifesanya AO, Nnabuko RE, Mazhar SB, Kotisso B, Shiferaw S, Ngonzi J, Dorman K, Byrne N, Satterthwaite L, Pittini R, Tajirian T, Kneebone R, Bello F, Desalegn D, Henok F, Dubrowsk A, Ugwumba FO, Obi UM, Ikem IC, Oginni LM, Howard A, Onyiah E, Iloabachie IC, Ohaegbulam SC, Kaggwa S, Tindimwebwa J, Mabweijano J, Lipnick M, Dubowitz G, Goetz L, Jayaraman S, Kwizera A, Ozgediz D, Matagane J, Bishop T, Guerrero A, Ganey M, Poenaru D, Park S, Simon D, Zirkle LG, Feibel RJ, Hannay JAF, Lane RHS, Cameron BH, Rambaran M, Gibson J, Howard A, Costas A, Meara JG, St-Albin M, Dyer G, Devi PR, Henshaw C, Wright J, Leah J, Spitzer RF, Caloia D, Omenge E, Chemwolo B, Zhou G, July J, Totimeh T, Mahmud R, Bernstein M, Ostrow B, Lowe J, Lawton C, Kozody LL, Coutts P, Nesbeth H, Revoredo A, Kirton R, Sibbald G, Dodge J, Giede C, Jimenez W, Cibulska P, Sinesat S, Bernardini M, McAlpine J, Finlayson S, Miller D, Elkanah O, Itsura P, Elit L. Bethune Round Table 2012: 12th Annual Conference: Filling the GapImpact of international collaboration on surgical services in a Nigerian tertiary centreSurgeons OverSeas Assessment of Surgical Needs (SOSAS) Rwanda: a useful rural health experience for medical studentsPreinternship Nigerian medical graduates lack basic musculoskeletal competencyDecompressive craniectomy: a low-cost surgical technique from a developing countryEfficacy of surgical management with manual vacuum aspiration versus medical management with misoprostol for evacuation of Lrst trimester miscarriages: a randomized trial in PakistanGaps in workforce for surgical care of children in Nigeria: increasing capacity through international partnershipsAnalyses of the gap between surgical resident and faculty surgeons concerning operating theatre teaching: report from Addis Ababa University, EthiopiaIntroduction of structured operative obstetric course at Mbarara Regional Referral Hospital with resultant reduction in maternal mortalityA training cascade for Ethiopian surgical and obstetrical care: an interprofessional, educational, leadership and skills training programUndergraduate surgery clerkship and the choice of surgery as a career: perspective from a developing countryIntramedullary nail versus external Lxation in management of open tibia fractures: experience in a developing countryThe College of Surgeons of East, Central and Southern Africa (COSECSA) Llling the gap; increasing the number of surgeonsClinical officer surgical training in Africa: COST-AfricaSecondary neuronal injuries following cervical spine trauma: audit of 68 consecutive patients admitted to neurosurgical services in Enugu, NigeriaCapacity building and workforce expansion in surgery, anesthesia and perioperative care: the GPAS model in UgandaKnowledge retention surveys: identifying the effectiveness of a road safety education program in Dar es Salaam, TanzaniaA tale of 2 fellowships: a comparative analysis of Canadian and East-African pediatric surgical trainingOutcomes of closed diaphyseal femur fractures treated with the SIGN nailManaging surgical emergencies: delivering a new course for the College of Surgeons of East Central and Southern AfricaAn evaluation of the exam for the University of Guyana Diploma in SurgeryPriority setting for health resource allocation in Brazil: a scoping literature reviewForeign aid effects on orthopedic capacity at the Hospital Saint Nicholas, HaitiReTHINK aid: international maternal health collaborationsEffect of electronic medical record implementation on patient and staff satisfaction, and chart completeness in a resource-limited antenatal clinic in KenyaImplementation of awake craniotomy in the developing world: data from China, Indonesia and AfricaRegionalization of diabetes care In Guyana, South AmericaQuantifying the burden of pediatric surgical disease due to delayed access to careImplementation of oncology surgery in Western Kenya. Can J Surg 2012. [DOI: 10.1503/cjs.016812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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31
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Ng CKY, Cooke SL, Howe K, Newman S, Xian J, Temple J, Batty EM, Pole JCM, Langdon SP, Edwards PAW, Brenton JD. The role of tandem duplicator phenotype in tumour evolution in high-grade serous ovarian cancer. J Pathol 2012; 226:703-12. [PMID: 22183581 DOI: 10.1002/path.3980] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Revised: 12/02/2011] [Accepted: 12/10/2011] [Indexed: 01/06/2023]
Abstract
High-grade serous ovarian carcinoma (HGSOC) is characterized by genomic instability, ubiquitous TP53 loss, and frequent development of platinum resistance. Loss of homologous recombination (HR) is a mutator phenotype present in 50% of HGSOCs and confers hypersensitivity to platinum treatment. We asked which other mutator phenotypes are present in HGSOC and how they drive the emergence of platinum resistance. We performed whole-genome paired-end sequencing on a model of two HGSOC cases, each consisting of a pair of cell lines established before and after clinical resistance emerged, to describe their structural variants (SVs) and to infer their ancestral genomes as the SVs present within each pair. The first case (PEO1/PEO4), with HR deficiency, acquired translocations and small deletions through its early evolution, but a revertant BRCA2 mutation restoring HR function in the resistant lineage re-stabilized its genome and reduced platinum sensitivity. The second case (PEO14/PEO23) had 216 tandem duplications and did not show evidence of HR or mismatch repair deficiency. By comparing the cell lines to the tissues from which they originated, we showed that the tandem duplicator mutator phenotype arose early in progression in vivo and persisted throughout evolution in vivo and in vitro, which may have enabled continual evolution. From the analysis of SNP array data from 454 HGSOC cases in The Cancer Genome Atlas series, we estimate that 12.8% of cases show patterns of aberrations similar to the tandem duplicator, and this phenotype is mutually exclusive with BRCA1/2 carrier mutations.
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MESH Headings
- Antineoplastic Agents/therapeutic use
- BRCA1 Protein/genetics
- BRCA2 Protein/genetics
- Cell Line, Tumor
- Drug Resistance, Neoplasm/genetics
- Evolution, Molecular
- Female
- Gene Deletion
- Gene Duplication
- Genetic Predisposition to Disease
- Homologous Recombination
- Humans
- Mutation
- Neoplasm Grading
- Neoplasms, Cystic, Mucinous, and Serous/genetics
- Neoplasms, Cystic, Mucinous, and Serous/pathology
- Oligonucleotide Array Sequence Analysis
- Ovarian Neoplasms/drug therapy
- Ovarian Neoplasms/genetics
- Ovarian Neoplasms/pathology
- Phenotype
- Platinum Compounds/therapeutic use
- Polymorphism, Single Nucleotide
- Sequence Analysis, DNA
- Tandem Repeat Sequences
- Translocation, Genetic
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Affiliation(s)
- Charlotte K Y Ng
- Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
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Yook K, Harris TW, Bieri T, Cabunoc A, Chan J, Chen WJ, Davis P, de la Cruz N, Duong A, Fang R, Ganesan U, Grove C, Howe K, Kadam S, Kishore R, Lee R, Li Y, Muller HM, Nakamura C, Nash B, Ozersky P, Paulini M, Raciti D, Rangarajan A, Schindelman G, Shi X, Schwarz EM, Ann Tuli M, Van Auken K, Wang D, Wang X, Williams G, Hodgkin J, Berriman M, Durbin R, Kersey P, Spieth J, Stein L, Sternberg PW. WormBase 2012: more genomes, more data, new website. Nucleic Acids Res 2011; 40:D735-41. [PMID: 22067452 PMCID: PMC3245152 DOI: 10.1093/nar/gkr954] [Citation(s) in RCA: 164] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Since its release in 2000, WormBase (http://www.wormbase.org) has grown from a small resource focusing on a single species and serving a dedicated research community, to one now spanning 15 species essential to the broader biomedical and agricultural research fields. To enhance the rate of curation, we have automated the identification of key data in the scientific literature and use similar methodology for data extraction. To ease access to the data, we are collaborating with journals to link entities in research publications to their report pages at WormBase. To facilitate discovery, we have added new views of the data, integrated large-scale datasets and expanded descriptions of models for human disease. Finally, we have introduced a dramatic overhaul of the WormBase website for public beta testing. Designed to balance complexity and usability, the new site is species-agnostic, highly customizable, and interactive. Casual users and developers alike will be able to leverage the public RESTful application programming interface (API) to generate custom data mining solutions and extensions to the site. We report on the growth of our database and on our work in keeping pace with the growing demand for data, efforts to anticipate the requirements of users and new collaborations with the larger science community.
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Affiliation(s)
- Karen Yook
- Division of Biology 156-29, California Institute of Technology, Pasadena, CA 91125, USA.
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Cilia M, Howe K, Fish T, Smith D, Mahoney J, Tamborindeguy C, Burd J, Thannhauser TW, Gray S. Biomarker discovery from the top down: Protein biomarkers for efficient virus transmission by insects (Homoptera: Aphididae) discovered by coupling genetics and 2-D DIGE. Proteomics 2011; 11:2440-58. [PMID: 21648087 DOI: 10.1002/pmic.201000519] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Yellow dwarf viruses cause the most economically important virus diseases of cereal crops worldwide and are vectored by aphids. The identification of vector proteins mediating virus transmission is critical to develop sustainable virus management practices and to understand viral strategies for circulative movement in all insect vectors. Previously, we applied 2-D DIGE to an aphid filial generation 2 population to identify proteins correlated with the transmission phenotype that were stably inherited and expressed in the absence of the virus. In the present study, we examined the expression of the DIGE candidates in previously unstudied, field-collected aphid populations. We hypothesized that the expression of proteins involved in virus transmission could be clinically validated in unrelated, virus transmission-competent, field-collected aphid populations. All putative biomarkers were expressed in the field-collected biotypes, and the expression of nine of these aligned with the virus transmission-competent phenotype. The strong conservation of the expression of the biomarkers in multiple field-collected populations facilitates new and testable hypotheses concerning the genetics and biochemistry of virus transmission. Integration of these biomarkers into current aphid-scouting methodologies will enable rational strategies for vector control aimed at judicious use and development of precision pest control methods that reduce plant virus infection.
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Affiliation(s)
- Michelle Cilia
- Robert W. Holley Center for Agriculture and Health, USDA-ARS, Cornell University, Ithaca, NY 14853, USA
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Malayil L, Turner JW, Mote BL, Howe K, Lipp EK. Evaluation of enrichment media for improved PCR-based detection of V. cholerae and V. vulnificus from estuarine water and plankton. J Appl Microbiol 2011; 110:1470-5. [PMID: 21395948 DOI: 10.1111/j.1365-2672.2011.04996.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AIMS Pathogenic Vibrio spp., including V. cholerae and V. vulnificus, are commonly found along the estuaries of the south-east United States; however, it is often difficult to recover these species directly from environmental samples. Pre-enrichment assays are commonly used to improve the detection of pathogenic vibrios from environmental sources. Here, we evaluated a novel enrichment procedure using freshly collected and autoclaved natural estuarine water amended with 1% peptone (designated as estuarine peptone water, EPW) and compared it to traditional alkaline peptone water (APW) for detection by PCR of V. cholerae and V. vulnificus. METHODS AND RESULTS Of the 50 samples collected in total, V. cholerae DNA was detected in APW 10% of the time and in EPW 40% of the time. Likewise, the cholera toxin gene (ctxA) was detected in 4 vs 18% of the samples using APW and EPW, respectively. Conversely, APW showed improved recovery for V. vulnificus relative to EPW with respective detection frequencies of 46 and 20%. Results showed similar patterns across different sample types (water and plankton). CONCLUSIONS While enrichment in traditional APW was adequate for the recovery of Vibrio vulnificius, use of sterile estuarine water amended with peptone significantly improved the detection of V. cholerae and the virulence gene ctxA from estuarine sources.
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Affiliation(s)
- L Malayil
- Department of Environmental Health Science, The University of Georgia, Athens, GA 30602, USA
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Cilia M, Tamborindeguy C, Rolland M, Howe K, Thannhauser TW, Gray S. Tangible benefits of the aphid Acyrthosiphon pisum genome sequencing for aphid proteomics: Enhancements in protein identification and data validation for homology-based proteomics. J Insect Physiol 2011; 57:179-190. [PMID: 21070785 DOI: 10.1016/j.jinsphys.2010.11.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2010] [Revised: 10/28/2010] [Accepted: 11/01/2010] [Indexed: 05/30/2023]
Abstract
Homology-driven proteomics promises to reveal functional biology in insects with sparse genome sequence information. A proteomics study comparing plant virus transmission competent and refractive genotypes of the aphid Schizaphis graminum isolated numerous candidate proteins involved in virus transmission, but limited genome sequence information hampered their identification. The complete genome of the pea aphid, Acyrthosiphon pisum, released in 2008, enabled us to double the number of protein identifications beyond what was possible using available EST libraries and other insect sequences. This was concomitant with a dramatic increase of the number of MS and MS/MS peptide spectra matching the genome-derived protein sequence. LC-MS/MS proved to be the most robust method of peptide detection. Cross-matching spectral data to multiple EST sequences and error tolerant searching to identify amino acid substitutions enhanced the percent coverage of the Schizaphis graminum proteins. 2-D electrophoresis provided the protein pI and MW which enabled the refinement of the candidate protein selection and provided a measure of protein abundance when coupled to the spectral data. Thus, the homology-based proteomics pipeline for insects should include efforts to maximize the number of peptide matches to the protein to increase certainty in protein identification and relative protein abundance.
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Affiliation(s)
- M Cilia
- Robert W. Holley Center for Agriculture and Health, Cornell University, Tower Road, Ithaca, NY 14853, USA
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Howe K, Karsi A, Germon P, Wills RW, Lawrence ML, Bailey RH. Development of stable reporter system cloning luxCDABE genes into chromosome of Salmonella enterica serotypes using Tn7 transposon. BMC Microbiol 2010; 10:197. [PMID: 20653968 PMCID: PMC2918591 DOI: 10.1186/1471-2180-10-197] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2009] [Accepted: 07/23/2010] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Salmonellosis may be a food safety problem when raw food products are mishandled and not fully cooked. In previous work, we developed bioluminescent Salmonella enterica serotypes using a plasmid-based reporting system that can be used for real-time monitoring of the pathogen's growth on food products in short term studies. In this study, we report the use of a Tn7-based transposon system for subcloning of luxCDABE genes into the chromosome of eleven Salmonella enterica serotypes isolated from the broiler production continuum. RESULTS We found that the lux operon is constitutively expressed from the chromosome post-transposition and the lux cassette is stable without external pressure, i.e. antibiotic selection, for all Salmonella enterica serotypes used. Bioluminescence expression is based on an active electron transport chain and is directly related with metabolic activity. This relationship was quantified by measuring bioluminescence against a temperature gradient in aqueous solution using a luminometer. In addition, bioluminescent monitoring of two serotypes confirmed that our chicken skin model has the potential to be used to evaluate pathogen mitigation strategies. CONCLUSIONS This study demonstrated that our new stable reporting system eliminates bioluminescence variation due to plasmid instability and provides a reliable real-time experimental system to study application of preventive measures for Salmonella on food products in real-time for both short and long term studies.
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Affiliation(s)
- Kevin Howe
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Attila Karsi
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
- Institute for Digital Biology, Mississippi State University, Mississippi State, MS 39762, USA
| | - Pierre Germon
- INRA, UR 1282 Infectiologie Animale et Santé Publique, Laboratoire de Pathogénie Bactérienne, Nouzilly, France
| | - Robert W Wills
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
| | - Mark L Lawrence
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
- Institute for Digital Biology, Mississippi State University, Mississippi State, MS 39762, USA
| | - Richard H Bailey
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA
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Elaimi AH, Sabhnani TV, Sultan H, Alduraihem A, Fitzharris G, Howe K, Harper J, Garcia F, Alvarez JG, Velilla E, Fernandez S, Serra O, Lopez-Teijon M, Figueira RCS, Braga DPAF, Queiroz P, Pasqualotto FF, Iaconelli A, Borges E, Vanneste E, Voet T, Melotte C, Vandendael T, Declercq M, Vervoort C, Debrock S, Fryns JP, D'Hooghe T, Vermeesch JR, Choi Y, Park M, Song SH, Won HJ, Kim YS, Ryu SW, Lee DR, Shim SH, Yoon TK. Session 19: Reproduction and Genetics. Hum Reprod 2010. [DOI: 10.1093/humrep/de.25.s1.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Hubbard TJP, Aken BL, Ayling S, Ballester B, Beal K, Bragin E, Brent S, Chen Y, Clapham P, Clarke L, Coates G, Fairley S, Fitzgerald S, Fernandez-Banet J, Gordon L, Graf S, Haider S, Hammond M, Holland R, Howe K, Jenkinson A, Johnson N, Kahari A, Keefe D, Keenan S, Kinsella R, Kokocinski F, Kulesha E, Lawson D, Longden I, Megy K, Meidl P, Overduin B, Parker A, Pritchard B, Rios D, Schuster M, Slater G, Smedley D, Spooner W, Spudich G, Trevanion S, Vilella A, Vogel J, White S, Wilder S, Zadissa A, Birney E, Cunningham F, Curwen V, Durbin R, Fernandez-Suarez XM, Herrero J, Kasprzyk A, Proctor G, Smith J, Searle S, Flicek P. Ensembl 2009. Nucleic Acids Res 2008; 37:D690-7. [PMID: 19033362 PMCID: PMC2686571 DOI: 10.1093/nar/gkn828] [Citation(s) in RCA: 683] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The Ensembl project (http://www.ensembl.org) is a comprehensive genome information system featuring an integrated set of genome annotation, databases, and other information for chordate, selected model organism and disease vector genomes. As of release 51 (November 2008), Ensembl fully supports 45 species, and three additional species have preliminary support. New species in the past year include orangutan and six additional low coverage mammalian genomes. Major additions and improvements to Ensembl since our previous report include a major redesign of our website; generation of multiple genome alignments and ancestral sequences using the new Enredo-Pecan-Ortheus pipeline and development of our software infrastructure, particularly to support the Ensembl Genomes project (http://www.ensemblgenomes.org/).
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Affiliation(s)
- T J P Hubbard
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
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Karsi A, Howe K, Kirkpatrick TB, Wills R, Bailey RH, Lawrence ML. Development of bioluminescent Salmonella strains for use in food safety. BMC Microbiol 2008; 8:10. [PMID: 18211715 PMCID: PMC2257966 DOI: 10.1186/1471-2180-8-10] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2007] [Accepted: 01/22/2008] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Salmonella can reside in healthy animals without the manifestation of any adverse effects on the carrier. If raw products of animal origin are not handled properly during processing or cooked to a proper temperature during preparation, salmonellosis can occur. In this research, we developed bioluminescent Salmonella strains that can be used for real-time monitoring of the pathogen's growth on food products. To accomplish this, twelve Salmonella strains from the broiler production continuum were transformed with the broad host range plasmid pAKlux1, and a chicken skin attachment model was developed. RESULTS Salmonella strains carrying pAKlux1 constitutively expressed the luxCDABE operon and were therefore detectable using bioluminescence. Strains were characterized in terms of bioluminescence properties and plasmid stability. To assess the usefulness of bioluminescent Salmonella strains in food safety studies, we developed an attachment model using chicken skin. The effect of washing on attachment of Salmonella strains to chicken skin was tested using bioluminescent strains, which revealed the attachment properties of each strain. CONCLUSION This study demonstrated that bioluminescence is a sensitive and effective tool to detect Salmonella on food products in real-time. Bioluminescence imaging is a promising technology that can be utilized to evaluate new food safety measures for reducing Salmonella contamination on food products.
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Affiliation(s)
- Attila Karsi
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, P.O. Box 6100, Mississippi State, MS 39762-6100, USA
| | - Kevin Howe
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, P.O. Box 6100, Mississippi State, MS 39762-6100, USA
| | - Tasha B Kirkpatrick
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, P.O. Box 6100, Mississippi State, MS 39762-6100, USA
| | - Robert Wills
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, P.O. Box 6100, Mississippi State, MS 39762-6100, USA
| | - R Hartford Bailey
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, P.O. Box 6100, Mississippi State, MS 39762-6100, USA
| | - Mark L Lawrence
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, P.O. Box 6100, Mississippi State, MS 39762-6100, USA
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Abstract
The Vertebrate Genome Annotation (Vega) database (http://vega.sanger.ac.uk) was first made public in 2004 and has been designed to view manual annotation of human, mouse and zebrafish genomic sequences produced at the Wellcome Trust Sanger Institute. Since its initial release, the number of human annotated loci has more than doubled to close to 33 000 and now contains comprehensive annotation on 20 of the 24 human chromosomes, four whole mouse chromosomes and around 40% of the zebrafish Danio rerio genome. In addition, we offer manual annotation of a number of haplotype regions in mouse and human and regions of comparative interest in pig and dog that are unique to Vega.
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Affiliation(s)
- L G Wilming
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK.
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Flicek P, Aken BL, Beal K, Ballester B, Caccamo M, Chen Y, Clarke L, Coates G, Cunningham F, Cutts T, Down T, Dyer SC, Eyre T, Fitzgerald S, Fernandez-Banet J, Gräf S, Haider S, Hammond M, Holland R, Howe KL, Howe K, Johnson N, Jenkinson A, Kähäri A, Keefe D, Kokocinski F, Kulesha E, Lawson D, Longden I, Megy K, Meidl P, Overduin B, Parker A, Pritchard B, Prlic A, Rice S, Rios D, Schuster M, Sealy I, Slater G, Smedley D, Spudich G, Trevanion S, Vilella AJ, Vogel J, White S, Wood M, Birney E, Cox T, Curwen V, Durbin R, Fernandez-Suarez XM, Herrero J, Hubbard TJP, Kasprzyk A, Proctor G, Smith J, Ureta-Vidal A, Searle S. Ensembl 2008. Nucleic Acids Res 2007; 36:D707-14. [PMID: 18000006 PMCID: PMC2238821 DOI: 10.1093/nar/gkm988] [Citation(s) in RCA: 370] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The Ensembl project (http://www.ensembl.org) is a comprehensive genome information system featuring an integrated set of genome annotation, databases and other information for chordate and selected model organism and disease vector genomes. As of release 47 (October 2007), Ensembl fully supports 35 species, with preliminary support for six additional species. New species in the past year include platypus and horse. Major additions and improvements to Ensembl since our previous report include extensive support for functional genomics data in the form of a specialized functional genomics database, genome-wide maps of protein–DNA interactions and the Ensembl regulatory build; support for customization of the Ensembl web interface through the addition of user accounts and user groups; and increased support for genome resequencing. We have also introduced new comparative genomics-based data mining options and report on the continued development of our software infrastructure.
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Affiliation(s)
- P Flicek
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
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Yang Y, Zhang S, Howe K, Wilson DB, Moser F, Irwin D, Thannhauser TW. A comparison of nLC-ESI-MS/MS and nLC-MALDI-MS/MS for GeLC-based protein identification and iTRAQ-based shotgun quantitative proteomics. J Biomol Tech 2007; 18:226-237. [PMID: 17916795 PMCID: PMC2062563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The use of nLC-ESI-MS/MS in shotgun proteomics experiments and GeLC-MS/MS analysis is well accepted and routinely available in most proteomics laboratories. However, the same cannot be said for nLC-MALDI MS/MS, which has yet to experience such widespread acceptance, despite the fact that the MALDI technology offers several critical advantages over ESI. As an illustration, in an analysis of moderately complex sample of E. coli proteins, the use MALDI in addition to ESI in GeLC-MS/MS resulted in a 16% average increase in protein identifications, while with more complex samples the number of additional protein identifications increased by an average of 45%. The size of the unique peptides identified by MALDI was, on average, 25% larger than the unique peptides identified by ESI, and they were found to be slightly more hydrophilic. The insensitivity of MALDI to the presence of ionization suppression agents was shown to be a significant advantage, suggesting it be used as a complement to ESI when ion suppression is a possibility. Furthermore, the higher resolution of the TOF/TOF instrument improved the sensitivity, accuracy, and precision of the data over that obtained using only ESI-based iTRAQ experiments using a linear ion trap. Nevertheless, accurate data can be generated with either instrument. These results demonstrate that coupling nanoLC with both ESI and MALDI ionization interfaces improves proteome coverage, reduces the deleterious effects of ionization suppression agents, and improves quantitation, particularly in complex samples.
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Affiliation(s)
- Yong Yang
- US Plant, Soil and Nutrition Laboratory, USDA-ARS, Ithaca, NY
| | - Sheng Zhang
- Proteomics & Mass Spectrometry Facility, Cornell University, Ithaca, NY
| | - Kevin Howe
- US Plant, Soil and Nutrition Laboratory, USDA-ARS, Ithaca, NY
| | - David B. Wilson
- Department of Molecular Biolog y and Genetics, Cornell University, Ithaca, NY
| | - Felix Moser
- Department of Molecular Biolog y and Genetics, Cornell University, Ithaca, NY
| | - Diana Irwin
- Department of Molecular Biolog y and Genetics, Cornell University, Ithaca, NY
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Howe K, Wilcken M. Hypoplastisches Linksherzsyndrom- Ist eine standardisierte Pflege notwendig? Z Geburtshilfe Neonatol 2007. [DOI: 10.1055/s-2007-983167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Hubbard TJP, Aken BL, Beal K, Ballester B, Caccamo M, Chen Y, Clarke L, Coates G, Cunningham F, Cutts T, Down T, Dyer SC, Fitzgerald S, Fernandez-Banet J, Graf S, Haider S, Hammond M, Herrero J, Holland R, Howe K, Howe K, Johnson N, Kahari A, Keefe D, Kokocinski F, Kulesha E, Lawson D, Longden I, Melsopp C, Megy K, Meidl P, Ouverdin B, Parker A, Prlic A, Rice S, Rios D, Schuster M, Sealy I, Severin J, Slater G, Smedley D, Spudich G, Trevanion S, Vilella A, Vogel J, White S, Wood M, Cox T, Curwen V, Durbin R, Fernandez-Suarez XM, Flicek P, Kasprzyk A, Proctor G, Searle S, Smith J, Ureta-Vidal A, Birney E. Ensembl 2007. Nucleic Acids Res 2006; 35:D610-7. [PMID: 17148474 PMCID: PMC1761443 DOI: 10.1093/nar/gkl996] [Citation(s) in RCA: 657] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The Ensembl (http://www.ensembl.org/) project provides a comprehensive and integrated source of annotation of chordate genome sequences. Over the past year the number of genomes available from Ensembl has increased from 15 to 33, with the addition of sites for the mammalian genomes of elephant, rabbit, armadillo, tenrec, platypus, pig, cat, bush baby, common shrew, microbat and european hedgehog; the fish genomes of stickleback and medaka and the second example of the genomes of the sea squirt (Ciona savignyi) and the mosquito (Aedes aegypti). Some of the major features added during the year include the first complete gene sets for genomes with low-sequence coverage, the introduction of new strain variation data and the introduction of new orthology/paralog annotations based on gene trees.
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Affiliation(s)
- T J P Hubbard
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK.
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46
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Eckhardt F, Lewin J, Cortese R, Rakyan VK, Attwood J, Burger M, Burton J, Cox TV, Davies R, Down TA, Haefliger C, Horton R, Howe K, Jackson DK, Kunde J, Koenig C, Liddle J, Niblett D, Otto T, Pettett R, Seemann S, Thompson C, West T, Rogers J, Olek A, Berlin K, Beck S. DNA methylation profiling of human chromosomes 6, 20 and 22. Nat Genet 2006; 38:1378-85. [PMID: 17072317 PMCID: PMC3082778 DOI: 10.1038/ng1909] [Citation(s) in RCA: 933] [Impact Index Per Article: 51.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2006] [Accepted: 09/18/2006] [Indexed: 12/17/2022]
Abstract
DNA methylation is the most stable type of epigenetic modification modulating the transcriptional plasticity of mammalian genomes. Using bisulfite DNA sequencing, we report high-resolution methylation profiles of human chromosomes 6, 20 and 22, providing a resource of about 1.9 million CpG methylation values derived from 12 different tissues. Analysis of six annotation categories showed that evolutionarily conserved regions are the predominant sites for differential DNA methylation and that a core region surrounding the transcriptional start site is an informative surrogate for promoter methylation. We find that 17% of the 873 analyzed genes are differentially methylated in their 5' UTRs and that about one-third of the differentially methylated 5' UTRs are inversely correlated with transcription. Despite the fact that our study controlled for factors reported to affect DNA methylation such as sex and age, we did not find any significant attributable effects. Our data suggest DNA methylation to be ontogenetically more stable than previously thought.
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MESH Headings
- 5' Untranslated Regions
- Adult
- Age Factors
- Aged
- Animals
- Chromosomes, Human, Pair 20/genetics
- Chromosomes, Human, Pair 20/metabolism
- Chromosomes, Human, Pair 22/genetics
- Chromosomes, Human, Pair 22/metabolism
- Chromosomes, Human, Pair 6/genetics
- Chromosomes, Human, Pair 6/metabolism
- CpG Islands
- DNA Methylation
- Epigenesis, Genetic
- Evolution, Molecular
- Female
- Humans
- Male
- Mice
- Middle Aged
- Organ Specificity
- Promoter Regions, Genetic
- Sex Characteristics
- Species Specificity
- Transcription, Genetic
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Affiliation(s)
- Florian Eckhardt
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - Joern Lewin
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - Rene Cortese
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - Vardhman K. Rakyan
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - John Attwood
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Matthias Burger
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - John Burton
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Tony V. Cox
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Rob Davies
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Thomas A. Down
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | | | - Roger Horton
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Kevin Howe
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - David K. Jackson
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | | | - Christoph Koenig
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - Jennifer Liddle
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - David Niblett
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Thomas Otto
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - Roger Pettett
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Stefanie Seemann
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | | | - Tony West
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Jane Rogers
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
| | - Alex Olek
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - Kurt Berlin
- Epigenomics AG, Kleine Präsidentstrasse 1, 10178 Berlin, Germany
| | - Stephan Beck
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, United Kingdom
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Renard C, Hart E, Sehra H, Beasley H, Coggill P, Howe K, Harrow J, Gilbert J, Sims S, Rogers J, Ando A, Shigenari A, Shiina T, Inoko H, Chardon P, Beck S. The genomic sequence and analysis of the swine major histocompatibility complex. Genomics 2006; 88:96-110. [PMID: 16515853 DOI: 10.1016/j.ygeno.2006.01.004] [Citation(s) in RCA: 89] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2005] [Revised: 01/18/2006] [Accepted: 01/18/2006] [Indexed: 10/25/2022]
Abstract
We describe the generation and analysis of an integrated sequence map of a 2.4-Mb region of pig chromosome 7, comprising the classical class I region, the extended and classical class II regions, and the class III region of the major histocompatibility complex (MHC), also known as swine leukocyte antigen (SLA) complex. We have identified and manually annotated 151 loci, of which 121 are known genes (predicted to be functional), 18 are pseudogenes, 8 are novel CDS loci, 3 are novel transcripts, and 1 is a putative gene. Nearly all of these loci have homologues in other mammalian genomes but orthologues could be identified with confidence for only 123 genes. The 28 genes (including all the SLA class I genes) for which unambiguous orthology to genes within the human reference MHC could not be established are of particular interest with respect to porcine-specific MHC function and evolution. We have compared the porcine MHC to other mammalian MHC regions and identified the differences between them. In comparison to the human MHC, the main differences include the absence of HLA-A and other class I-like loci, the absence of HLA-DP-like loci, and the separation of the extended and classical class II regions from the rest of the MHC by insertion of the centromere. We show that the centromere insertion has occurred within a cluster of BTNL genes located at the boundary of the class II and III regions, which might have resulted in the loss of an orthologue to human C6orf10 from this region.
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Affiliation(s)
- C Renard
- LREG INRA CEA, Jouy en Josas, France
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Birney E, Andrews D, Caccamo M, Chen Y, Clarke L, Coates G, Cox T, Cunningham F, Curwen V, Cutts T, Down T, Durbin R, Fernandez-Suarez XM, Flicek P, Gräf S, Hammond M, Herrero J, Howe K, Iyer V, Jekosch K, Kähäri A, Kasprzyk A, Keefe D, Kokocinski F, Kulesha E, London D, Longden I, Melsopp C, Meidl P, Overduin B, Parker A, Proctor G, Prlic A, Rae M, Rios D, Redmond S, Schuster M, Sealy I, Searle S, Severin J, Slater G, Smedley D, Smith J, Stabenau A, Stalker J, Trevanion S, Ureta-Vidal A, Vogel J, White S, Woodwark C, Hubbard TJP. Ensembl 2006. Nucleic Acids Res 2006; 34:D556-61. [PMID: 16381931 PMCID: PMC1347495 DOI: 10.1093/nar/gkj133] [Citation(s) in RCA: 323] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The Ensembl () project provides a comprehensive and integrated source of annotation of large genome sequences. Over the last year the number of genomes available from the Ensembl site has increased from 4 to 19, with the addition of the mammalian genomes of Rhesus macaque and Opossum, the chordate genome of Ciona intestinalis and the import and integration of the yeast genome. The year has also seen extensive improvements to both data analysis and presentation, with the introduction of a redesigned website, the addition of RNA gene and regulatory annotation and substantial improvements to the integration of human genome variation data.
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Affiliation(s)
- E Birney
- European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK.
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Chisholm J, Howe K, Taj M, Zambon M. Influenza immunisation in children with solid tumours. Eur J Cancer 2005; 41:2280-7. [PMID: 16143516 DOI: 10.1016/j.ejca.2005.07.006] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2004] [Revised: 06/02/2005] [Accepted: 07/05/2005] [Indexed: 10/25/2022]
Abstract
We assessed response to immunisation with trivalent split virus influenza vaccine in children with non-leukaemic malignant disease. Children with solid tumours and lymphoma received one or two doses of influenza vaccine, according to current UK guidelines, in autumn 2001 and/or 2002. Children were currently receiving chemotherapy or were within 6 months of completing chemotherapy. Pre and post vaccination sera were assessed for antibodies to the prevalent influenza strains by haemagglutination inhibition (HI). Sixty six children were assessed prior to 69 episodes of vaccination. In 30% episodes, children were susceptible to all three circulating influenza viruses (65% to H1N1, 42% to H3N2 and 90% to B) and only one patient showed protective titres (HI32) against all three strains. Seroresponse rates (4-fold rise in HI) for H1N1, H3N2 and B were 52%, 33% and 51% in 65 episodes. Following immunisation protective titres to all three viruses were seen in 25 episodes (38%) and protective responses to one or two viruses were seen in a further 12 (19%) episodes. There was no significant difference in response rates among children on treatment and off treatment and by intensity of chemotherapy. Children with solid tumours and lymphoma are highly susceptible to influenza infection. Influenza vaccine was well tolerated in this patient group and children showed a significant response to immunisation. These findings support the recommendation for annual influenza vaccination in these children.
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Affiliation(s)
- J Chisholm
- Department of Paediatric Oncology, Great Ormond Street Hospital, Great Ormond Street, London WC1N 3JH, UK.
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