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Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis.


ABSTRACT: Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HUPO Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates solutions for system-wide glycopeptide analysis. The same mass spectrometrybased glycoproteomics datasets from human serum were shared with participants and the relative team performance for N- and O-glycopeptide data analysis was comprehensively established by orthogonal performance tests. Although the results were variable, several high-performance glycoproteomics informatics strategies were identified. Deep analysis of the data revealed key performance-associated search parameters and led to recommendations for improved 'high-coverage' and 'high-accuracy' glycoproteomics search solutions. This study concludes that diverse software packages for comprehensive glycopeptide data analysis exist, points to several high-performance search strategies and specifies key variables that will guide future software developments and assist informatics decision-making in glycoproteomics.

SUBMITTER: Kawahara R 

PROVIDER: S-EPMC8566223 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis.

Kawahara Rebeca R   Chernykh Anastasia A   Alagesan Kathirvel K   Bern Marshall M   Cao Weiqian W   Chalkley Robert J RJ   Cheng Kai K   Choo Matthew S MS   Edwards Nathan N   Goldman Radoslav R   Hoffmann Marcus M   Hu Yingwei Y   Huang Yifan Y   Kim Jin Young JY   Kletter Doron D   Liquet Benoit B   Liu Mingqi M   Mechref Yehia Y   Meng Bo B   Neelamegham Sriram S   Nguyen-Khuong Terry T   Nilsson Jonas J   Pap Adam A   Park Gun Wook GW   Parker Benjamin L BL   Pegg Cassandra L CL   Penninger Josef M JM   Phung Toan K TK   Pioch Markus M   Rapp Erdmann E   Sakalli Enes E   Sanda Miloslav M   Schulz Benjamin L BL   Scott Nichollas E NE   Sofronov Georgy G   Stadlmann Johannes J   Vakhrushev Sergey Y SY   Woo Christina M CM   Wu Hung-Yi HY   Yang Pengyuan P   Ying Wantao W   Zhang Hui H   Zhang Yong Y   Zhao Jingfu J   Zaia Joseph J   Haslam Stuart M SM   Palmisano Giuseppe G   Yoo Jong Shin JS   Larson Göran G   Khoo Kai-Hooi KH   Medzihradszky Katalin F KF   Kolarich Daniel D   Packer Nicolle H NH   Thaysen-Andersen Morten M  

Nature methods 20211101 11


Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HUPO Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates solutions for system-wide glycopeptide analysis. The same mass spectrometrybased glycoproteomics datasets from huma  ...[more]

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