Evidence map›Paper›PMID 24925905›Full record

ArticleMolecular & cellular proteomics : MCP2014

A computational framework for heparan sulfate sequencing using high-resolution tandem mass spectra.

Han Hu, Yu Huang, Yang Mao, Xiang Yu, Yongmei Xu, Jian Liu, Chengli Zong, Geert-Jan Boons, Cheng Lin, Yu Xia and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Heparan sulfate glycomimeticsChemical science · 2023
    Article
  2. Article
  3. Article
  4. A Scoring Algorithm for the Automated Analysis of Glycosaminoglycan MS/MS Data.Journal of the American Society for Mass Spectrometry · 2019
    Article
  5. Article
  6. Article
  7. Review
  8. Targeting heparin and heparan sulfate protein interactions.Organic & biomolecular chemistry · 2017
    Review
  9. Review
  10. Article
  11. Glycosaminoglycanomics: where we are.Glycoconjugate journal · 2017
    Review
  12. Cationized Carbohydrate Gas-Phase Fragmentation Chemistry.Journal of the American Society for Mass Spectrometry · 2017
    Article
  13. Article
  14. Computational approaches to define a human milk metaglycome.Bioinformatics (Oxford, England) · 2016
    Article
  15. Article
  16. 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

11 authors at 3 institutions in 2 countries.

Han HuFrom the ‡Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA; §Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA;
Yu Huang§Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA;
Yang Mao§Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA;
Xiang Yu§Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA;
Yongmei Xu¶ Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina 27599, USA;
Jian Liu¶ Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina 27599, USA;
Chengli Zong**Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Geert-Jan Boons**Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602.
Cheng Lin§Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA;
Yu Xia‖Department of Bioengineering, Faculty of Engineering, McGill University, Montreal, Quebec H3A 0C3, Canada; From the ‡Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA;
Joseph Zaia§Center for Biomedical Mass Spectrometry, Department of Biochemistry, Boston University School of Medicine, Boston University, Boston, Massachusetts 02118, USA; jzaia@bu.edu.
Boston University · USUniversity of Georgia · USUniversity of North Carolina at Chapel Hill · US

Funding

TR&D3. Approaches to Proteoglycan Function at Biochemical and Cellular LevelsP41GM103390 · NIGMS · UNIVERSITY OF GEORGIA · PI MOREMEN, KELLEY W. · 2012 to 2019
$14.5M
Mass Spectrometry Resource for Biology and MedicineP41GM104603 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2012 to 2017
$10.4M
Post-biosynthetic Remodeling of Heparan SulfateR01HL098950 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 2010 to 2013
$1.6M
LTQ-FT MS System for On-line Protein and Glycan AnalysisS10RR025082 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2009 to 2009
$1.3M
Software for automated interpretation of heparan sulfate tandem mass spectraR21HL131554 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ZAIA, JOSEPH · 2015 to 2016
$761k
NCRR NIH HHS S10 RR025082NCRR NIH HHS S10RR025082NHLBI NIH HHS R01 HL098950NHLBI NIH HHS R01HL098950NHLBI NIH HHS R21 HL131554NIGMS NIH HHS P41 GM103390NIGMS NIH HHS P41GM103390NIGMS NIH HHS P41 GM104603NIGMS NIH HHS P41GM104603
6 · The paper itself

Abstract

Heparan sulfate (HS) is a linear polysaccharide expressed on cell surfaces, in extracellular matrices and cellular granules in metazoan cells. Through non-covalent binding to growth factors, morphogens, chemokines, and other protein families, HS is involved in all multicellular physiological activities. Its biological activities depend on the fine structures of its protein-binding domains, the determination of which remains a daunting task. Methods have advanced to the point that mass spectra with information-rich product ions may be produced on purified HS saccharides. However, the interpretation of these complex product ion patterns has emerged as the bottleneck to the dissemination of these HS sequencing methods. To solve this problem, we designed HS-SEQ, the first comprehensive algorithm for HS de novo sequencing using high-resolution tandem mass spectra. We tested HS-SEQ using negative electron transfer dissociation (NETD) tandem mass spectra generated from a set of pure synthetic saccharide standards with diverse sulfation patterns. The results showed that HS-SEQ rapidly and accurately determined the correct HS structures from large candidate pools.

Indexed as

AlgorithmsCarbohydrate SequenceHeparan SulfateSequence AnalysisTandem Mass SpectrometryHeparan Sulfate

Identifiers

PMID24925905
PMCPMC4159664
OpenAlexW2116540024

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.