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Systems glycobiology for discovering drug targets, biomarkers, and rational designs for glyco-immunotherapy

Overview of attention for article published in Journal of Biomedical Science, June 2021
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  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

6 tweeters


4 Dimensions

Readers on

12 Mendeley
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Systems glycobiology for discovering drug targets, biomarkers, and rational designs for glyco-immunotherapy
Published in
Journal of Biomedical Science, June 2021
DOI 10.1186/s12929-021-00746-2
Pubmed ID

Austin W. T. Chiang, Hratch M. Baghdassarian, Benjamin P. Kellman, Bokan Bao, James T. Sorrentino, Chenguang Liang, Chih-Chung Kuo, Helen O. Masson, Nathan E. Lewis


Cancer immunotherapy has revolutionized treatment and led to an unprecedented wave of immuno-oncology research during the past two decades. In 2018, two pioneer immunotherapy innovators, Tasuku Honjo and James P. Allison, were awarded the Nobel Prize for their landmark cancer immunotherapy work regarding "cancer therapy by inhibition of negative immune regulation" -CTLA4 and PD-1 immune checkpoints. However, the challenge in the coming decade is to develop cancer immunotherapies that can more consistently treat various patients and cancer types. Overcoming this challenge requires a systemic understanding of the underlying interactions between immune cells, tumor cells, and immunotherapeutics. The role of aberrant glycosylation in this process, and how it influences tumor immunity and immunotherapy is beginning to emerge. Herein, we review current knowledge of miRNA-mediated regulatory mechanisms of glycosylation machinery, and how these carbohydrate moieties impact immune cell and tumor cell interactions. We discuss these insights in the context of clinical findings and provide an outlook on modulating the regulation of glycosylation to offer new therapeutic opportunities. Finally, in the coming age of systems glycobiology, we highlight how emerging technologies in systems glycobiology are enabling deeper insights into cancer immuno-oncology, helping identify novel drug targets and key biomarkers of cancer, and facilitating the rational design of glyco-immunotherapies. These hold great promise clinically in the immuno-oncology field.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Other 1 8%
Student > Doctoral Student 1 8%
Professor 1 8%
Researcher 1 8%
Other 2 17%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 42%
Chemical Engineering 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Agricultural and Biological Sciences 1 8%
Immunology and Microbiology 1 8%
Other 1 8%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 June 2021.
All research outputs
of 21,414,377 outputs
Outputs from Journal of Biomedical Science
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Outputs of similar age
of 341,812 outputs
Outputs of similar age from Journal of Biomedical Science
of 1 outputs
Altmetric has tracked 21,414,377 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 932 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 76% of its peers.
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 341,812 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them