Evidence map›Paper›PMID 22522536›Full record

ReviewElectrophoresis2012

Harnessing glycomics technologies: integrating structure with function for glycan characterization.

Luke N Robinson, Charlermchai Artpradit, Rahul Raman, Zachary H Shriver, Mathuros Ruchirawat, Ram Sasisekharan

Abstract readReview
In one paragraph

Review in Electrophoresis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Characterization and Analysis of Food-Sourced Carbohydrates.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Heparin sensing: blue-chip binding.Nature chemistry · 2013
    Article
  12. Review
  13. Article
  14. Article
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

6 authors.

Luke N RobinsonDepartment of Biological Engineering, Harvard-MIT Division of Health Sciences & Technology and Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Charlermchai Artpradit
Rahul Raman
Zachary H Shriver
Mathuros Ruchirawat
Ram Sasisekharan

Funding

Interdepartmental Biotechnology Training ProgramT32GM008334 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 1989 to 2018
$15.2M
TRAINING GRANTS IN ENVIROMENTAL TOXICOLOGYT32ES007020 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ESSIGMANN, JOHN M · 1985 to 2024
$13.1M
Structure-Function Relationship of GlycosaminoglycansR37GM057073 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SASISEKHARAN, RAM · 2010 to 2019
$3.9M
Sequence Analysis of GlycosaminoglycansR01GM057073 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SASISEKHARAN, RAM · 1998 to 2010
$3.1M
NIEHS NIH HHS T32 ES007020NIGMS NIH HHS R01 GM057073NIGMS NIH HHS R37 GM057073NIGMS NIH HHS R37 GM057073-13NIGMS NIH HHS T32 GM008334
6 · The paper itself

Abstract

Glycans, or complex carbohydrates, are a ubiquitous class of biological molecule which impinge on a variety of physiological processes ranging from signal transduction to tissue development and microbial pathogenesis. In comparison to DNA and proteins, glycans present unique challenges to the study of their structure and function owing to their complex and heterogeneous structures and the dominant role played by multivalency in their sequence-specific biological interactions. Arising from these challenges, there is a need to integrate information from multiple complementary methods to decode structure-function relationships. Focusing on acidic glycans, we describe here key glycomics technologies for characterizing their structural attributes, including linkage, modifications, and topology, as well as for elucidating their role in biological processes. Two cases studies, one involving sialylated branched glycans and the other sulfated glycosaminoglycans, are used to highlight how integration of orthogonal information from diverse datasets enables rapid convergence of glycan characterization for development of robust structure-function relationships.

Indexed as

Carbohydrate ConformationGlycomicsGlycosaminoglycansModels, MolecularPolysaccharidesProtein BindingStructure-Activity RelationshipGlycosaminoglycansPolysaccharides

Identifiers

PMID22522536
PMCPMC3743516

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.