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Comparison of analytical methods for profiling N- and O-linked glycans from cultured cell lines

Overview of attention for article published in Glycoconjugate Journal, October 2015
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Title
Comparison of analytical methods for profiling N- and O-linked glycans from cultured cell lines
Published in
Glycoconjugate Journal, October 2015
DOI 10.1007/s10719-015-9625-3
Pubmed ID
Authors

Hiromi Ito, Hiroyuki Kaji, Akira Togayachi, Parastoo Azadi, Mayumi Ishihara, Rudolf Geyer, Christina Galuska, Hildegard Geyer, Kazuaki Kakehi, Mitsuhiro Kinoshita, Niclas G. Karlsson, Chunsheng Jin, Koichi Kato, Hirokazu Yagi, Sachiko Kondo, Nana Kawasaki, Noritaka Hashii, Daniel Kolarich, Kathrin Stavenhagen, Nicolle H. Packer, Morten Thaysen-Andersen, Miyako Nakano, Naoyuki Taniguchi, Ayako Kurimoto, Yoshinao Wada, Michiko Tajiri, Pengyuan Yang, Weiqian Cao, Hong Li, Pauline M. Rudd, Hisashi Narimatsu

Abstract

The Human Disease Glycomics/Proteome Initiative (HGPI) is an activity in the Human Proteome Organization (HUPO) supported by leading researchers from international institutes and aims at development of disease-related glycomics/glycoproteomics analysis techniques. Since 2004, the initiative has conducted three pilot studies. The first two were N- and O-glycan analyses of purified transferrin and immunoglobulin-G and assessed the most appropriate analytical approach employed at the time. This paper describes the third study, which was conducted to compare different approaches for quantitation of N- and O-linked glycans attached to proteins in crude biological samples. The preliminary analysis on cell pellets resulted in wildly varied glycan profiles, which was probably the consequence of variations in the pre-processing sample preparation methodologies. However, the reproducibility of the data was not improved dramatically in the subsequent analysis on cell lysate fractions prepared in a specified method by one lab. The study demonstrated the difficulty of carrying out a complete analysis of the glycome in crude samples by any single technology and the importance of rigorous optimization of the course of analysis from preprocessing to data interpretation. It suggests that another collaborative study employing the latest technologies in this rapidly evolving field will help to realize the requirements of carrying out the large-scale analysis of glycoproteins in complex cell samples.

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Mendeley readers

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The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 1 2%
Netherlands 1 2%
Qatar 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 12 20%
Professor 6 10%
Student > Master 5 8%
Other 4 7%
Other 12 20%
Unknown 5 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 30%
Agricultural and Biological Sciences 10 17%
Chemistry 7 12%
Medicine and Dentistry 5 8%
Computer Science 2 3%
Other 10 17%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 May 2018.
All research outputs
#15,739,010
of 25,371,288 outputs
Outputs from Glycoconjugate Journal
#648
of 929 outputs
Outputs of similar age
#152,318
of 295,274 outputs
Outputs of similar age from Glycoconjugate Journal
#8
of 12 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 929 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 295,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.