Evidence map›Paper›PMID 29615495›Full record

ArticleMolecular & cellular proteomics : MCP2018

Software for Peak Finding and Elemental Composition Assignment for Glycosaminoglycan Tandem Mass Spectra.

John D Hogan, Joshua A Klein, Jiandong Wu, Pradeep Chopra, Geert-Jan Boons, Luis Carvalho, Cheng Lin, Joseph Zaia

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Analysis of the Glycosaminoglycan Chains of Proteoglycans.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Review
  7. Review
  8. Article
  9. IR action spectroscopy of glycosaminoglycan oligosaccharides.Analytical and bioanalytical chemistry · 2020
    Article
  10. A Scoring Algorithm for the Automated Analysis of Glycosaminoglycan MS/MS Data.Journal of the American Society for Mass Spectrometry · 2019
    Article
  11. Article
  12. Article
  13. Review
  14. 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.

John D HoganFrom the ‡Program in Bioinformatics, Boston University - Boston, MA 02215.
Joshua A KleinFrom the ‡Program in Bioinformatics, Boston University - Boston, MA 02215.
Jiandong Wu§Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine - Boston, MA 02118.
Pradeep Chopra¶Complex Carbohydrate Research Center, University of Georgia - Athens, GA 30602.
Geert-Jan Boons¶Complex Carbohydrate Research Center, University of Georgia - Athens, GA 30602.
Luis CarvalhoFrom the ‡Program in Bioinformatics, Boston University - Boston, MA 02215.
Cheng Lin§Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine - Boston, MA 02118.
Joseph ZaiaFrom the ‡Program in Bioinformatics, Boston University - Boston, MA 02215; jzaia@bu.edu.ORCID 0000-0001-9497-8701

Funding

Mass Spectrometry Resource for Biology and MedicineP41GM104603 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2012 to 2017
$10.4M
Legacy Support During Closure of the Mass Spectrometry Resource for Biology and MedicineR24GM134210 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2019 to 2021
$2.1M
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
Software for automated interpretation of heparan sulfate tandem mass spectraR21HL131554 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 2015 to 2016
$761k
NCI NIH HHS U01 CA221234NHLBI NIH HHS R21 HL131554NIGMS NIH HHS P41 GM104603NIGMS NIH HHS R24 GM134210
6 · The paper itself

Abstract

Glycosaminoglycans (GAGs) covalently linked to proteoglycans (PGs) are characterized by repeating disaccharide units and variable sulfation patterns along the chain. GAG length and sulfation patterns impact disease etiology, cellular signaling, and structural support for cells. We and others have demonstrated the usefulness of tandem mass spectrometry (MS

Indexed as

ElementsSoftwareAlgorithmsGlycosaminoglycansOligosaccharidesReference StandardsSulfatesTandem Mass SpectrometryElementsGlycosaminoglycansOligosaccharidesSulfatesBioinformaticsBioinformatics softwareGlycomicsglycosaminoglycanGlycosylationheparan sulfateMass Spectrometrypeak finding

Identifiers

PMID29615495
PMCPMC6030731

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.