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Higher order structure and encoding of mass spectrometry data for high throughput human Fc IgG N -glycosylation analysis (CROSBI ID 628855)

Prilog sa skupa u časopisu | sažetak izlaganja sa skupa | međunarodna recenzija

Razdorov, Genadij ; Ugrina, Ivo ; Lauc, Gordan Higher order structure and encoding of mass spectrometry data for high throughput human Fc IgG N -glycosylation analysis // Glycoconjugate journal. 2015. str. 240-240

Podaci o odgovornosti

Razdorov, Genadij ; Ugrina, Ivo ; Lauc, Gordan

engleski

Higher order structure and encoding of mass spectrometry data for high throughput human Fc IgG N -glycosylation analysis

By continuous progress in mass spectrometry (MS) instrumentation, most importantly through increase in mass resolving power and scan speed, MS technology is generating more and more raw data. For high throughput MS, it is of crucial importance to properly structure and format generated data. Currently, MS experiments generate data encoded in binary proprietary formats, not accessible without producer’s library. Raw data is usually converted using ProteoWizard toolkit into XML based MS open formats, such as mzXML or mzML. These formats, including proprietary ones, are developed around individual MS experiment. When these tools are used in high-throughput setting, the main disadvantage is that data is spread into thousands of individual files, and is loosely structured (different number of scans per sample, different number of measurements in individual mass spectra, etc.). To enable high-throughput MS glycan analysis we developed an approach to restructure and reformat MS data into multidimensional (sample, scan, mass-over-charge and intensity) arrays encoded using hierarchical data format (HDF) library, designed for storage and organization of large amounts of numerical data. For this we used pyTables library that is build around HDF, but brings some additional advantages, such as BLOSC meta-compression, optimized for speed. Using this approach, we are able to efficiently analyze human Fc IgG N-glycosylation in relatively high throughput manner (cohorts of several thousand samples analyzed with a rate of roughly 100 samples per day).

Glyco(bio)informatics; glycomics; glycoproteomics; mass spectrometry

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Podaci o prilogu

240-240.

2015.

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objavljeno

Podaci o matičnoj publikaciji

Glycoconjugate journal

Springer

0282-0080

Podaci o skupu

GLYCO 23 XXIII International Symposium on Glycoconjugates

predavanje

15.09.2015-20.09.2015

Split, Hrvatska

Povezanost rada

Biologija

Indeksiranost