Evidence map›Paper›PMID 39415074›Full record

ReviewNature protocols2025

Measuring carbohydrate recognition profile of lectins on live cells using liquid glycan array (LiGA).

Mirat Sojitra, Edward N Schmidt, Guilherme M Lima, Eric J Carpenter, Kelli A McCord, Alexey Atrazhev, Matthew S Macauley, Ratmir Derda

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Universal Baseline forbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. 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

8 authors.

Mirat SojitraDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Edward N SchmidtDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Guilherme M LimaDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-3268-6081
Eric J CarpenterDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Kelli A McCordDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Alexey AtrazhevDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Matthew S MacauleyDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Ratmir DerdaDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada. ratmir@ualberta.ca.ORCID 0000-0003-1365-6570

Funding

O-Glycosylation of Epidermal Growth Factor-like MotifsR01GM061126 · NIGMS · UNIVERSITY OF GEORGIA · PI HALTIWANGER, ROBERT S. · 2001 to 2021
$9.1M
Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology) RGPIN-2016-402511Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology) RGPIN-2018-03815NIGMS NIH HHS R01 GM061126UAlberta | Canadian Glycomics Network (GlycoNet) CR-29UAlberta | Canadian Glycomics Network (GlycoNet) TP-22
6 · The paper itself

Abstract

Glycans constitute a significant fraction of biomolecular diversity on cellular surfaces across all kingdoms of life. As the structure of glycans is not directly encoded by the organism's DNA, it is impossible to use high-throughput DNA technologies to study the role of cellular glycosylation or to understand how glycocalyx is recognized by glycan-binding proteins (GBPs). To address this gap, we recently described a liquid glycan array (LiGA) platform that allows profiling of glycan-GBP interactions on the surface of live cells in vitro and in vivo using next-generation sequencing. LiGA is a library of DNA-barcoded bacteriophages, where each clonal bacteriophage displays 5-1,500 copies of a glycan and the distinct DNA barcode inside each bacteriophage clone encodes the structure and density of the displayed glycans. Deep sequencing of the glycophages associated with live cells yields a glycan-binding profile of GBPs expressed on the surface of cells. This protocol provides detailed instructions for how to use LiGA to probe cell surface receptors and includes information on the preparation of glycophages, analysis by MALDI-TOF mass spectrometry, the assembly of a LiGA library and its deep sequencing. Using this protocol, we measure glycan-binding profiles of the immunomodulatory sialic acid-binding immunoglobulin-like lectins‑1, -2, -6, -7 and -9 expressed on the surface of different cell types. Compared with existing methods that require complex specialist equipment, this method allows users with basic molecular biology expertise to measure the precise glycan-binding profile of GBPs on the surface of any cell type expressing exogenous GBP within 2-3 d.

Indexed as

LectinsMicroarray AnalysisPolysaccharidesBacteriophagesHigh-Throughput Nucleotide SequencingHumansLectinsPolysaccharides

Identifiers

What OpenQuestion holds

Textmetadata
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.