Evidence map›Paper›PMID 29506752›Full record

ArticleJournal of chromatography. A2018

Sensitive method for glycosaminoglycan analysis of tissue sections.

Lilla Turiák, Gábor Tóth, Oliver Ozohanics, Ágnes Révész, András Ács, Károly Vékey, Joseph Zaia, László Drahos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of chromatography. A, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Isolation and Compositional Analysis of Glycosaminoglycans.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Analysis of the Glycosaminoglycan Chains of Proteoglycans.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Review
  10. Review
  11. Article
  12. Article
  13. 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.

Lilla TuriákMS Proteomics Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary. Electronic address: turiak.lilla@ttk.mta.hu.
Gábor TóthMS Proteomics Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary.
Oliver OzohanicsMTA TTK NAP B MS Neuroproteomics Group, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary.
Ágnes RévészMS Proteomics Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary.
András ÁcsMS Proteomics Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary; Semmelweis University, PhD School of Pharmaceutical Sciences, Üllői út 26, H-1085, Budapest, Hungary.
Károly VékeyMS Proteomics Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary.
Joseph ZaiaDepartment of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, MA, 02215, United States.
László DrahosMS Proteomics Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary; MTA TTK NAP B MS Neuroproteomics Group, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2, H-1117, Budapest, Hungary.

Funding

Mass Spectrometry Resource for Biology and MedicineP41GM104603 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2012 to 2017
$10.4M
An open-source software suite for processing glycomics and glycoproteomics mass spectral dataU01CA221234 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 2017 to 2019
$1.2M
NCI NIH HHS U01 CA221234NIGMS NIH HHS P41 GM104603
6 · The paper itself

Abstract

A simple, isocratic HPLC method based on HILIC-WAX separation, has been developed for analyzing sulfated disaccharides of glycosaminoglycans (GAGs). To our best knowledge, this is the first successful attempt using this special phase in nano-HPLC-MS analysis. Mass spectrometry was based on negative ionization, improving both sensitivity and specificity. Detection limit for most sulfated disaccharides were approximately 1 fmol; quantitation limits 10 fmol. The method was applied for glycosaminoglycan profiling of tissue samples, using surface digestion protocols. This novel combination provides sufficient sensitivity for GAG disaccharide analysis, which was first performed using prostate cancer tissue microarrays. Preliminary results show that GAG analysis may be useful for identifying cancer related changes in small amounts of tissue samples (ca. 10 μg).

Indexed as

Organ SpecificityAdultAgedCalibrationChromatography, High Pressure LiquidDisaccharidesGlycosaminoglycansHeparan SulfateHumansLimit of DetectionMaleMass SpectrometryMiddle AgedReproducibility of ResultsDisaccharidesGlycosaminoglycansHeparan SulfateGlycosaminoglycanHeparan sulfateHydrophilic interaction chromatographyMass spectrometryProstate cancerTissue microarray

Identifiers

PMID29506752
PMCPMC6590710

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.