Towards a standardized bioinformatics infrastructure for N- and O-glycomics-Reference-Cited by-同舟云学术

Towards a standardized bioinformatics infrastructure for N- and O-glycomics

Published:2019-07-22 Issue:1 Volume:10 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Rojas-Macias Miguel A.,Mariethoz Julien^ORCID,Andersson Peter,Jin Chunsheng,Venkatakrishnan Vignesh^ORCID,Aoki Nobuyuki P.,Shinmachi Daisuke^ORCID,Ashwood Christopher^ORCID,Madunic Katarina^ORCID,Zhang Tao,Miller Rebecca L.^ORCID,Horlacher Oliver,Struwe Weston B.,Watanabe Yu,Okuda Shujiro^ORCID,Levander Fredrik^ORCID,Kolarich Daniel^ORCID,Rudd Pauline M.,Wuhrer Manfred,Kettner Carsten^ORCID,Packer Nicolle H.^ORCID,Aoki-Kinoshita Kiyoko F.^ORCID,Lisacek Frédérique^ORCID,Karlsson Niclas G.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/s41467-019-11131-x.pdf

Reference85 articles.

1. Aebersold, R. et al. How many human proteoforms are there? Nat. Chem. Biol. 14, 206–214 (2018). A viewpoint paper of how post translational modifications are one of the main contributors to generate the huge variety of proteoforms from a single gene.

2. Everest-Dass, A. V., Moh, E. S. X., Ashwood, C., Shathili, A. M. M. & Packer, N. H. Human disease glycomics: technology advances enabling protein glycosylation analysis - part 1. Expert Rev. Proteom. 15, 165–182 (2018).

3. Everest-Dass, A. V., Moh, E. S. X., Ashwood, C., Shathili, A. M. M. & Packer, N. H. Human disease glycomics: technology advances enabling protein glycosylation analysis - part 2. Expert Rev. Proteom. 15, 341–352 (2018).

4. Kailemia, M. J., Park, D. & Lebrilla, C. B. Glycans and glycoproteins as specific biomarkers for cancer. Anal. Bioanal. Chem. 409, 395–410 (2017).

5. Bennun, S. V. et al. Systems glycobiology: integrating glycogenomics, glycoproteomics, glycomics, and other ‘omics data sets to characterize cellular glycosylation processes. J. Mol. Biol. 428, 3337–3352 (2016).

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