Evidence map›Paper›PMID 31572731›Full record

ReviewFrontiers in molecular biosciences2019

Natural and Synthetic Sialylated Glycan Microarrays and Their Applications.

Alyssa M McQuillan, Lauren Byrd-Leotis, Jamie Heimburg-Molinaro, Richard D Cummings

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. General Strategies for Glycan Microarray Data Processing and Analysis.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Siglec Ligands.Cells · 2021
    Review
  12. Review
  13. Review
  14. Review
  15. Tools for generating and analyzing glycan microarray data.Beilstein journal of organic chemistry · 2020
    Review
  16. Review
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alyssa M McQuillanDepartment of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States.
Lauren Byrd-LeotisDepartment of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States.
Jamie Heimburg-MolinaroDepartment of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States.
Richard D CummingsDepartment of Surgery, Beth Israel Deaconess Medical Center, National Center for Functional Glycomics, Harvard Medical School, Boston, MA, United States.

Funding

Overall Priority Score P41GM103694 · NIGMS · EMORY UNIVERSITY · PI CUMMINGS, RICHARD D · 2013 to 2018
$6.9M
NIAID NIH HHS HHSN272201400004CNIGMS NIH HHS P41 GM103694
6 · The paper itself

Abstract

This focused chapter serves as a short survey of glycan microarrays that are available with sialylated glycans, including both defined and shotgun arrays, their generation, and their utility in studying differential binding interactions to sialylated compounds, highlighting N-glycolyl (Gc) modified sialylated compounds. A brief discussion of binding interactions by lectins, antibodies, and viruses, and their relevance that have been observed with sialylated glycan microarrays is presented, as well as a discussion of cross-comparisons of array platforms and efforts to centralize and standardize the glycan microarray data.

Indexed as

functional glycomicsglycan binding proteinsglycan microarraysnatural glycansNeu5AcNeu5Gcsialylated glycanssynthetic glycans

Identifiers

PMID31572731
PMCPMC6753469

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.