Evidence map›Paper›PMID 33349503›Full record

ReviewTrends in biochemical sciences2021

Big-Data Glycomics: Tools to Connect Glycan Biosynthesis to Extracellular Communication.

Benjamin P Kellman, Nathan E Lewis

Abstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Glycobiology in Human Health and Disease.International journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Mechanisms of assembly and remodelling of the extracellular matrix.Nature reviews. Molecular cell biology · 2024
    Review
  8. Article
  9. Article
  10. A Boltzmann model predicts glycan structures from lectin binding.bioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. Review
  13. Review
  14. Glycosylation and the global virome.Molecular ecology · 2023
    Article
  15. Article
  16. Review
  17. High sensitivity glycomics in biomedicine.Mass spectrometry reviews · 2022
    Review
  18. Review
  19. Article
  20. What is the Sugar Code?Chembiochem : a European journal of chemical biology · 2022
    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

2 authors.

Benjamin P KellmanDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA.
Nathan E LewisDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego School of Medicine, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego School of Medicine, La Jolla, CA, USA; Novo Nordisk Foundation Center for Biosustainability at the University of California San Diego School of Medicine, La Jolla, CA, USA. Electronic address: nlewisres@ucsd.edu.

Funding

Unraveling the mammalian secretory pathway through systems biology and algorithm developmentR35GM119850 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEWIS, NATHAN ENOCH · 2016 to 2025
$4.3M
NIGMS NIH HHS R35 GM119850
6 · The paper itself

Abstract

Characteristically, cells must sense and respond to environmental cues. Despite the importance of cell-cell communication, our understanding remains limited and often lacks glycans. Glycans decorate proteins and cell membranes at the cell-environment interface, and modulate intercellular communication, from development to pathogenesis. Providing further challenges, glycan biosynthesis and cellular behavior are co-regulating systems. Here, we discuss how glycosylation contributes to extracellular responses and signaling. We further organize approaches for disentangling the roles of glycans in multicellular interactions using newly available datasets and tools, including glycan biosynthesis models, omics datasets, and systems-level analyses. Thus, emerging tools in big data analytics and systems biology are facilitating novel insights on glycans and their relationship with multicellular behavior.

Indexed as

GlycomicsPolysaccharidesGlycosylationPolysaccharidesbioinformaticscell–cell interactionextracellular matrixglycobiologyglycomicssystems biology

Identifiers

PMID33349503
PMCPMC7954846

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.