Evidence map›Paper›PMID 19716471›Full record

ArticleChemistry & biology2009

Context-specific target definition in influenza a virus hemagglutinin-glycan receptor interactions.

Zachary Shriver, Rahul Raman, Karthik Viswanathan, Ram Sasisekharan

Abstract read
In one paragraph

Article in Chemistry & biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Glycan-protein interactions in viral pathogenesis.Current opinion in structural biology · 2016
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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 at 1 institution in 1 country.

Zachary ShriverKoch Institute for Integrative Cancer Research, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, 02139, USA.
Rahul Raman
Karthik Viswanathan
Ram Sasisekharan
Harvard–MIT Division of Health Sciences and Technology · US

Funding

Structural Basis of Immune Recognition of Glycosylated AntigensU54GM062116 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI BLIXT, OLA KLAS · 2001 to 2010
$80.3M
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
NIGMS NIH HHS GM 57073NIGMS NIH HHS R01 GM057073NIGMS NIH HHS R37 GM057073NIGMS NIH HHS U54 GM062116NIGMS NIH HHS U54GM62116
6 · The paper itself

Abstract

Protein-glycan interactions are important regulators of a variety of biological processes, ranging from immune recognition to anticoagulation. An important area of active research is directed toward understanding the role of host cell surface glycans as recognition sites for pathogen protein receptors. Recognition of cell surface glycans is a widely employed strategy for a variety of pathogens, including bacteria, parasites, and viruses. We present here a representative example of such an interaction: the binding of influenza A hemagglutinin (HA) to specific sialylated glycans on the cell surface of human upper airway epithelial cells, which initiates the infection cycle. We detail a generalizable strategy to understand the nature of protein-glycan interactions both structurally and biochemically, using HA as a model system. This strategy combines a top-down approach using available structural information to define important contacts between glycans and HA, with a bottom-up approach using data-mining and informatics approaches to identify the common motifs that distinguish glycan binders from nonbinders. By probing protein-glycan interactions simultaneously through top-down and bottom-up approaches, we can scientifically validate a series of observations. This in turn provides additional confidence and surmounts known challenges in the study of protein-glycan interactions, such as accounting for multivalency, and thus truly defines concepts such as specificity, affinity, and avidity. With the advent of new technologies for glycomics-including glycan arrays, data-mining solutions, and robust algorithms to model protein-glycan interactions-we anticipate that such combination approaches will become tractable for a wide variety of protein-glycan interactions.

Indexed as

Influenza A virusCarbohydrate ConformationHemagglutinin Glycoproteins, Influenza VirusHumansPolysaccharidesProtein BindingProtein ConformationReceptors, VirusHemagglutinin Glycoproteins, Influenza VirusPolysaccharidesReceptors, Virus

Identifiers

PMID19716471
PMCPMC3733240
OpenAlexW2036724275

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.