Evidence map›Paper›PMID 19498986›Full record

ArticleJournal of biomolecular techniques : JBT2002

Glyco-catch method: A lectin affinity technique for glycoproteomics.

Jun Hirabayashi, Tomomi Hashidate, Ken-ichi Kasai

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular techniques : JBT, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact, top 99% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Glycosylation and liver cancer.Advances in cancer research · 2015
    Review
  5. Article
  6. 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

3 authors at 1 institution in 1 country.

Jun HirabayashiDepartment of Biological Chemistry, Faculty of Pharmaceutical Sciences, Teikyo University, Sagamiko, Kanagawa, Japan. jun-hirabayashi@aist.go.jp
Tomomi Hashidate
Ken-ichi Kasai
Teikyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein glycosylation is a critical issue of post-genome science not only because it is one of the major post-translational modifications but also because it has significant effects on protein properties and functions. The glyco-catch method was recently developed as a novel affinity technique for comprehensive analysis of glycoproteins in the context of glycomics, which is defined as research targeting the whole set of glycans produced in an organism (Hirabayashi J, Kasai K, Trends Glycosci Glycotechnol 2000;12:1-5). This method enables us to identify possible glycoprotein genes as well as glycosylation sites in a systematic manner by combining conventional lectin affinity chromatography and concurrent in silico database searching (Hirabayashi J, Kasai K, J Chromatogr B 2002; 771:67-87). Application of the strategy to a simple organism, Caenorhabditis elegans, has already proved its practical validity (Hirabayashi J, Kaji H, Isobe T, Kasai K, J Biochem (Tokyo) 2002;132:103-114). Accumulation of data on protein glycosylation in a variety of organisms for which entire genome information is available should thus reveal the biological meaning of glycans in complex carbohydrates from a global viewpoint, that is, under the concept of "genome-proteomeglycome." In this article, we briefly review the issues of protein glycosylation and demonstrate the usefulness of the glyco-catch method for identification of complex-type N-glycoproteins of mouse liver that were captured by galectin-1, which is a major galectin in mammals. Future plans for technical improvement and construction of a glycome database are also described.

Identifiers

PMID19498986
PMCPMC2279871
OpenAlexW57613942

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.