Evidence map›Paper›PMID 18411279›Full record

ArticleThe Journal of biological chemistry2008

Regulation of glycan structures in animal tissues: transcript profiling of glycan-related genes.

Alison V Nairn, William S York, Kyle Harris, Erica M Hall, J Michael Pierce, Kelley W Moremen

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

123 citing papers in PubMed, 197 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Role of Glycans in Human Immunity-A Sweet Code.Molecules (Basel, Switzerland) · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Mucin Glycans: A Target for Cancer Therapy.Molecules (Basel, Switzerland) · 2023
    Review
  18. Article
  19. Galectin-9 in Gastroenterological Cancer.International journal of molecular sciences · 2023
    Review
  20. Review

63 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Alison V NairnComplex Carbohydrate Research Center and the Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia 30602, USA.
William S York
Kyle Harris
Erica M Hall
J Michael Pierce
Kelley W Moremen
University of Georgia · US

Funding

Structural Basis of Immune Recognition of Glycosylated AntigensU54GM062116 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI PAULSON, JAMES C · 2001 to 2010
$80.3M
ZINC DEFICIENCY &PROTEIN EXPRESSION IN RAT OLFACTORY BULBSP41RR018502 · NCRR · UNIVERSITY OF GEORGIA (UGA) · PI PIERCE, J. MICHAEL · 2003 to 2011
$13.1M
NCRR NIH HHS RR018502NIGMS NIH HHS U54 GM062116
6 · The paper itself

Abstract

Glycan structures covalently attached to proteins and lipids play numerous roles in mammalian cells, including protein folding, targeting, recognition, and adhesion at the molecular or cellular level. Regulating the abundance of glycan structures on cellular glycoproteins and glycolipids is a complex process that depends on numerous factors. Most models for glycan regulation hypothesize that transcriptional control of the enzymes involved in glycan synthesis, modification, and catabolism determines glycan abundance and diversity. However, few broad-based studies have examined correlations between glycan structures and transcripts encoding the relevant biosynthetic and catabolic enzymes. Low transcript abundance for many glycan-related genes has hampered broad-based transcript profiling for comparison with glycan structural data. In an effort to facilitate comparison with glycan structural data and to identify the molecular basis of alterations in glycan structures, we have developed a medium-throughput quantitative real time reverse transcriptase-PCR platform for the analysis of transcripts encoding glycan-related enzymes and proteins in mouse tissues and cells. The method employs a comprehensive list of >700 genes, including enzymes involved in sugar-nucleotide biosynthesis, transporters, glycan extension, modification, recognition, catabolism, and numerous glycosylated core proteins. Comparison with parallel microarray analyses indicates a significantly greater sensitivity and dynamic range for our quantitative real time reverse transcriptase-PCR approach, particularly for the numerous low abundance glycan-related enzymes. Mapping of the genes and transcript levels to their respective biosynthetic pathway steps allowed a comparison with glycan structural data and provides support for a model where many, but not all, changes in glycan abundance result from alterations in transcript expression of corresponding biosynthetic enzymes.

Indexed as

Gene Expression RegulationAnimalsDNA, ComplementaryDNA PrimersGene Expression ProfilingGlycolipidsMiceModels, BiologicalOligonucleotide Array Sequence AnalysisPolysaccharidesReverse Transcriptase Polymerase Chain ReactionRNA Processing, Post-TranscriptionalTissue DistributionTranscription, GeneticDNA, ComplementaryDNA PrimersGlycolipidsPolysaccharides

Identifiers

PMID18411279
PMCPMC2427342
OpenAlexW1968683685

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.