Literature DB >> 30913289

GRITS Toolbox-a freely available software for processing, annotating and archiving glycomics mass spectrometry data.

D Brent Weatherly1, F Sena Arpinar1, Melody Porterfield1, Michael Tiemeyer1, William S York1, Rene Ranzinger1.   

Abstract

Mass spectrometry (MS) is one of the most effective techniques for high-throughput, high-resolution characterization of glycan structures. Although many software applications have been developed over the last decades for the interpretation of MS data of glycan structures, only a few are capable of dealing with the large data sets produced by glycomics analysis. Furthermore, these applications utilize databases that can lead to redundant glycan annotations and do not support post-processing of the data within the software or by third party applications. To address the needs, we present GRITS Toolbox, a freely-available, platform-independent software application capable of storing and processing glycomics MS data along with associated metadata. GRITS Toolbox automatically annotates MS data using an integrated glycan identification module that references manually curated databases of mammalian glycans (provided with the software) or any user-defined databases. Extensive display routines are provided to post-process the data and refine the automated annotation using expert knowledge of the user. The software also allows side by side comparison of annotations from different MS runs or samples and exporting of annotations into Excel format.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  free software; glycomics; glycomics mass spectrometric data; mass spectrometry annotation; mass spectrometry data processing

Mesh:

Year:  2019        PMID: 30913289      PMCID: PMC6521942          DOI: 10.1093/glycob/cwz023

Source DB:  PubMed          Journal:  Glycobiology        ISSN: 0959-6658            Impact factor:   4.313


  26 in total

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Journal:  Glycobiology       Date:  2015-12       Impact factor: 4.313

2.  The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting mass-spectrometry-based glycoanalytic data.

Authors:  Daniel Kolarich; Erdmann Rapp; Weston B Struwe; Stuart M Haslam; Joseph Zaia; Ryan McBride; Sanjay Agravat; Matthew P Campbell; Masaki Kato; Rene Ranzinger; Carsten Kettner; William S York
Journal:  Mol Cell Proteomics       Date:  2013-02-01       Impact factor: 5.911

Review 3.  KEGG as a glycome informatics resource.

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4.  GlycoMod--a software tool for determining glycosylation compositions from mass spectrometric data.

Authors:  C A Cooper; E Gasteiger; N H Packer
Journal:  Proteomics       Date:  2001-02       Impact factor: 3.984

5.  "Glyco-peakfinder"--de novo composition analysis of glycoconjugates.

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Journal:  Proteomics       Date:  2007-12       Impact factor: 3.984

6.  The GlycanBuilder and GlycoWorkbench glycoinformatics tools: updates and new developments.

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7.  GlycoWorkbench: a tool for the computer-assisted annotation of mass spectra of glycans.

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Journal:  Mol Cell Proteomics       Date:  2010-08-17       Impact factor: 5.911

9.  GlycomeDB - integration of open-access carbohydrate structure databases.

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10.  A common open representation of mass spectrometry data and its application to proteomics research.

Authors:  Patrick G A Pedrioli; Jimmy K Eng; Robert Hubley; Mathijs Vogelzang; Eric W Deutsch; Brian Raught; Brian Pratt; Erik Nilsson; Ruth H Angeletti; Rolf Apweiler; Kei Cheung; Catherine E Costello; Henning Hermjakob; Sequin Huang; Randall K Julian; Eugene Kapp; Mark E McComb; Stephen G Oliver; Gilbert Omenn; Norman W Paton; Richard Simpson; Richard Smith; Chris F Taylor; Weimin Zhu; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2004-11       Impact factor: 54.908

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2.  Bioinformatics in Immunoglobulin Glycosylation Analysis.

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Review 3.  Towards a standardized bioinformatics infrastructure for N- and O-glycomics.

Authors:  Miguel A Rojas-Macias; Julien Mariethoz; Peter Andersson; Chunsheng Jin; Vignesh Venkatakrishnan; Nobuyuki P Aoki; Daisuke Shinmachi; Christopher Ashwood; Katarina Madunic; Tao Zhang; Rebecca L Miller; Oliver Horlacher; Weston B Struwe; Yu Watanabe; Shujiro Okuda; Fredrik Levander; Daniel Kolarich; Pauline M Rudd; Manfred Wuhrer; Carsten Kettner; Nicolle H Packer; Kiyoko F Aoki-Kinoshita; Frédérique Lisacek; Niclas G Karlsson
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4.  Glycomics-informed glycoproteomic analysis of site-specific glycosylation for SARS-CoV-2 spike protein.

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Review 5.  Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy.

Authors:  Manikandan Muthu; Sechul Chun; Judy Gopal; Vimala Anthonydhason; Steve W Haga; Anna Jacintha Prameela Devadoss; Jae-Wook Oh
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6.  Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor.

Authors:  Peng Zhao; Jeremy L Praissman; Oliver C Grant; Yongfei Cai; Tianshu Xiao; Katelyn E Rosenbalm; Kazuhiro Aoki; Benjamin P Kellman; Robert Bridger; Dan H Barouch; Melinda A Brindley; Nathan E Lewis; Michael Tiemeyer; Bing Chen; Robert J Woods; Lance Wells
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7.  New strategies for profiling and characterization of human milk oligosaccharides.

Authors:  Sara Porfirio; Stephanie Archer-Hartmann; G Brett Moreau; Girija Ramakrishnan; Rashidul Haque; Beth D Kirkpatrick; William A Petri; Parastoo Azadi
Journal:  Glycobiology       Date:  2020-09-28       Impact factor: 4.313

Review 8.  Tools for generating and analyzing glycan microarray data.

Authors:  Akul Y Mehta; Jamie Heimburg-Molinaro; Richard D Cummings
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9.  Separation and Identification of Permethylated Glycan Isomers by Reversed Phase NanoLC-NSI-MSn.

Authors:  Simone Kurz; M Osman Sheikh; Shan Lu; Lance Wells; Michael Tiemeyer
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Review 10.  Developments in Mass Spectrometry for Glycosaminoglycan Analysis: A Review.

Authors:  Lauren E Pepi; Patience Sanderson; Morgan Stickney; I Jonathan Amster
Journal:  Mol Cell Proteomics       Date:  2021-01-06       Impact factor: 5.911

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