Shakyawar Sushil K, Pandey Sanjit, Harvey David J, Bousfield George, Guda Chittibabu
Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, United States.
Target Discovery Institute, Nuffield Department of Medicine, Oxford University, Oxford OX3 7FZ, United Kingdom.
Comput Struct Biotechnol J. 2021 Mar 22;19:1635-1640. doi: 10.1016/j.csbj.2021.03.009. eCollection 2021.
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/.
糖组学是对生物体中所有糖类的研究,由于高通量质谱技术的进展,近年来受到了极大的关注。这些分析进展促进了对与促卵泡激素(FSH)相关聚糖的表征,促卵泡激素在人类生殖系统中对男性和女性调节性腺(睾丸和卵巢)功能起着核心作用。FSH活性的异常也与骨质疏松症直接相关。糖分析研究在理解FSH的生物学作用方面非常有帮助。随后,越来越多已表征的FSH聚糖结构和相关糖型数据在数据组织、存储和访问方面给糖信息学领域带来了挑战。此外,需要一个用户友好的平台,以便能够轻松访问数据库并使用大量实验数据进行综合分析,从而加速以FSH为重点的研究。FSH聚糖数据库(FGDB)是与FSH相关聚糖的结构、特征及相关信息的全面且独特的存储库。除了提供多种搜索选项外,该数据库还提供了一个用户友好的集成界面,以便使用实验数据进行聚糖丰度和比较分析。自动化的集成管道根据输入数据呈现聚糖和FSH变体的可能结构,并允许用户进行各种分析。FGDB的潜在应用将极大地帮助糖信息学家以及湿实验室研究人员推动该领域的研究。FGDB网络访问地址:https://fgdb.unmc.edu/