HUMAN Glycoproteomics INITIATIVE (hgi)

The Human Glycoproteomics Initiative (HGI) was established in 2017 by Prof Nicki Packer (Chair) and Dr. Morten Thaysen-Andersen (Deputy Chair) (both Macquarie University, Sydney, Australia). The HGI evolved from the Human Glyco/Proteomics Initiative (HGPI) (2004-2016) headed by Prof. N Taniguchi and Dr. H. Narimatsu.

The HGI aims to increase the understanding of the functional significance of the extensive post translational protein modifications by glycans. This can only be achieved when the proteomics community has the technology and informatics tools to more easily enable the determination of site-, cell- and organ- specific glycoform structural heterogeneity in complex biological systems. The HGI is comprised of a number of researchers and collaborators throughout the world who are dedicated to fostering and accelerating research progress in disease glycomics by pursuing collaborative and interdisciplinary research. This initiative will connect the other HPP activities in HUPO more tightly and will permit the exchange of information of mutual interest. The data and information will be shared with members, non-participating researchers and will be made available for public, academic research and teaching purposes. In order to avoid diluting efforts by other on-going related activities, this initiative focuses on disease glycoproteomics.

Leadership

Current Chair	Nicolle H Packer
Co-Chair(s)	Morten Thaysen-Andersen

1st Human Glyocproteomics Inititiave (HGI) Study

1st Human Glycoproteomics Initiative (HGI) Study was started in 2017 as an interlaboratory study to assess the performance of current glycoproteomics software for automated intact N- and O-glycopeptide identification from high resolution MS/MS spectral data across laboratories.

"Glycoproteomics holds immense potential to advance our understanding of the molecular and cellular processes underpinning human (patho)physiology, but remains an analytically challenging discipline (Thaysen-Andersen M et al., Mol Cell Proteomics. 15(6):1773. 2016). Accurate automated intact glycopeptide identification from high resolution tandem mass spectrometry data, a prerequisite for the further advancement of glycoproteomics, is still in its infancy despite many exciting glycoinformatics developments (Hu et al., Mass Spectrom Rev. 36(4):475. 2017).Formed in September 2016, the first community study of the B/D-HPP Human Glycoproteomics Initiative (HGI) sets out to provide a detailed comparison of the bioinformatics solutions currently in use for the site-specific determination of protein N- and O-linked glycosylation. For this purpose, two high resolution CID-, HCD- and EThcD-based LC-MS/MS glycopeptide datasets were acquired from a tryptic digest of serum glycoproteins by Thermo Scientific and these two common data files were distributed to all study participants. The participating teams were asked to return lists of confidently identified N- and O-glycopeptides from the two LC-MS/MS data files using preformed reporting templates and, further, to provide information of their used method of identification. The data is currently being compared and analysed prior to the publication of the study outcomes"

Ist HGI Study committee:

A/Prof. Daniel Kolarich , Griffith University, Australia
Prof. Kay-Hooi Khoo, Academia Sinica, Taiwan
Prof. Katalin Medzihradszky, UCSF, CA
Prof. Joe Zaia, Boston University, MA
Prof. Goran Larson, Gothenburg, Sweden
Dr. Stuart Haslam, Imperial College, UK
Prof. Giuseppe Palmisano, University of Sao Paulo, Brazil
Prof. Jong Shin Yoo, Korea Basic Science Institute, Korea