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FGDB: Database of follicle stimulating hormone glycans

Glycomics, the study of the entire complement of sugars of an organism has received significant attention in the recent past due to the advances made in high throughput mass spectrometry technologies. These analytical advancements have facilitated the characterization of glycans associated with the...

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Autores principales: Shakyawar, Sushil K, Pandey, Sanjit, Harvey, David J, Bousfield, George, Guda, Chittibabu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050109/
https://www.ncbi.nlm.nih.gov/pubmed/33897975
http://dx.doi.org/10.1016/j.csbj.2021.03.009
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author Shakyawar, Sushil K
Pandey, Sanjit
Harvey, David J
Bousfield, George
Guda, Chittibabu
author_facet Shakyawar, Sushil K
Pandey, Sanjit
Harvey, David J
Bousfield, George
Guda, Chittibabu
author_sort Shakyawar, Sushil K
collection PubMed
description Glycomics, the study of the entire complement of sugars of an organism has received significant attention in the recent past due to the advances made in high throughput mass spectrometry technologies. These analytical advancements have facilitated the characterization of glycans associated with the follicle-stimulating hormones (FSH), which play a central role in the human reproductive system both in males and females utilizing regulating gonadal (testicular and ovarian) functions. The irregularities in FSH activity are also directly linked with osteoporosis. The glycoanalytical studies have been tremendously helpful in understanding the biological roles of FSH. Subsequently, the increasing number of characterized FSH glycan structures and related glycoform data has thrown a challenge to the glycoinformatics community in terms of data organization, storage and access. Also, a user-friendly platform is needed for providing easy access to the database and performing integrated analysis using a high volume of experimental data to accelerate FSH-focused research. FSH Glycans DataBase (FGDB) serves as a comprehensive and unique repository of structures, features, and related information of glycans associated with FSH. Apart from providing multiple search options, the database also facilitates an integrated user-friendly interface to perform the glycan abundance and comparative analyses using experimental data. The automated integrated pipelines present the possible structures of glycans and variants of FSH based on the input data, and allow the user to perform various analyses. The potential application of FGDB will significantly help both glycoinformaticians as well as wet-lab researchers to stimulate the research in this area. FGDB web access: https://fgdb.unmc.edu/
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spelling pubmed-80501092021-04-23 FGDB: Database of follicle stimulating hormone glycans Shakyawar, Sushil K Pandey, Sanjit Harvey, David J Bousfield, George Guda, Chittibabu Comput Struct Biotechnol J Data Article Glycomics, the study of the entire complement of sugars of an organism has received significant attention in the recent past due to the advances made in high throughput mass spectrometry technologies. These analytical advancements have facilitated the characterization of glycans associated with the follicle-stimulating hormones (FSH), which play a central role in the human reproductive system both in males and females utilizing regulating gonadal (testicular and ovarian) functions. The irregularities in FSH activity are also directly linked with osteoporosis. The glycoanalytical studies have been tremendously helpful in understanding the biological roles of FSH. Subsequently, the increasing number of characterized FSH glycan structures and related glycoform data has thrown a challenge to the glycoinformatics community in terms of data organization, storage and access. Also, a user-friendly platform is needed for providing easy access to the database and performing integrated analysis using a high volume of experimental data to accelerate FSH-focused research. FSH Glycans DataBase (FGDB) serves as a comprehensive and unique repository of structures, features, and related information of glycans associated with FSH. Apart from providing multiple search options, the database also facilitates an integrated user-friendly interface to perform the glycan abundance and comparative analyses using experimental data. The automated integrated pipelines present the possible structures of glycans and variants of FSH based on the input data, and allow the user to perform various analyses. The potential application of FGDB will significantly help both glycoinformaticians as well as wet-lab researchers to stimulate the research in this area. FGDB web access: https://fgdb.unmc.edu/ Research Network of Computational and Structural Biotechnology 2021-03-22 /pmc/articles/PMC8050109/ /pubmed/33897975 http://dx.doi.org/10.1016/j.csbj.2021.03.009 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Shakyawar, Sushil K
Pandey, Sanjit
Harvey, David J
Bousfield, George
Guda, Chittibabu
FGDB: Database of follicle stimulating hormone glycans
title FGDB: Database of follicle stimulating hormone glycans
title_full FGDB: Database of follicle stimulating hormone glycans
title_fullStr FGDB: Database of follicle stimulating hormone glycans
title_full_unstemmed FGDB: Database of follicle stimulating hormone glycans
title_short FGDB: Database of follicle stimulating hormone glycans
title_sort fgdb: database of follicle stimulating hormone glycans
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050109/
https://www.ncbi.nlm.nih.gov/pubmed/33897975
http://dx.doi.org/10.1016/j.csbj.2021.03.009
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