GlycoHunter: An Open-Source Software for the Detection and Relative Quantification of INLIGHT-Labeled N-Linked Glycans
| Autor: | Kenneth P. Garrard, Jaclyn Gowen Kalmar, David C. Muddiman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Glycan Computational biology Biochemistry Article Rendering (computer graphics) Glycomics 03 medical and health sciences chemistry.chemical_compound Software Polysaccharides Derivatization 030102 biochemistry & molecular biology biology business.industry Analytical technique Computational Biology General Chemistry 030104 developmental biology chemistry Nat biology.protein Mass spectrometry data format business |
| Zdroj: | J Proteome Res |
| ISSN: | 1535-3907 |
| Popis: | Glycans are responsible for many biological activities; however, their structures are incredibly diverse and complex often rendering the field of glycomics unsolvable by a single analytical technique. The development of multiple chemical derivatization strategies and bioinformatic software are responsible for some of the greatest analytical gains in the field of glycomics. The INLIGHT(™) strategy is a chemical derivatization technique using hydrazide chemistry to derivatize the reducing end of N-linked glycans and incorporates either a natural (NAT – (12)C(6)) or stable-isotope label (SIL – (13)C(6)) to carry out relative quantification. Here we present GlycoHunter, a user-friendly software created in MATLAB that enables researchers to accurately and efficiently process MS1 glycomics data where a NAT and SIL pair are generated for relative quantification, including but not limited to, INLIGHT(™). GlycoHunter accepts the commonly used data files formats imzML or mzXML, and effectively identifies all peak pairs associated with NAT and SIL labeled N-linked glycans using MS1 data. It also includes the ability to tailor the search parameters and export the results for further analysis using Skyline or Excel. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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