Evidence map›Paper›PMID 24191063›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Glycogenomics as a mass spectrometry-guided genome-mining method for microbial glycosylated molecules.

Roland D Kersten, Nadine Ziemert, David J Gonzalez, Brendan M Duggan, Victor Nizet, Pieter C Dorrestein, Bradley S Moore

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Unusual Sesquiterpenes fromJournal of natural products · 2024
    Article
  5. Article
  6. Article
  7. Microbial Metabolites Annotation by Mass Spectrometry-Based Metabolomics.Advances in experimental medicine and biology · 2023
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Structure Elucidation of Macrolide Antibiotics Using MSJournal of the American Society for Mass Spectrometry · 2019
    Article
  17. Toward a global picture of bacterial secondary metabolism.Journal of industrial microbiology & biotechnology · 2019
    Article
  18. Article
  19. Article
  20. Article

1 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

7 authors.

Roland D KerstenCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, Departments of Pediatrics, Pharmacology, and Chemistry and Biochemistry, and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA 92093.
Nadine Ziemert
David J Gonzalez
Brendan M Duggan
Victor Nizet
Pieter C Dorrestein
Bradley S Moore

Funding

UCSD/SDSU IRACDAK12GM068524 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TREJO, JOANN · 2003 to 2025
$24.4M
Siglec Modulation of Inflammatory ResponsesP01HL107150 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LE, DZUNG T · 2011 to 2017
$18.0M
Natural Product Genome MiningR01GM085770 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JENSEN, PAUL R, MOORE, BRADLEY S · 2009 to 2024
$5.8M
Experiment based genome mining of ribosomal natural productsR01GM097509 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORRESTEIN, PIETER C, MOORE, BRADLEY S · 2012 to 2015
$1.9M
Synapt ion mobility mass spectrometerS10RR029121 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORRESTEIN, PIETER C · 2011 to 2011
$802k
NCRR NIH HHS S10 RR029121NCRR NIH HHS S10-RR029121NCRR NIH HHS S10-RR031562NHLBI NIH HHS HL107150NHLBI NIH HHS P01 HL107150NIGMS NIH HHS GM085770NIGMS NIH HHS GM097509NIGMS NIH HHS K12 GM068524NIGMS NIH HHS R01 GM085770NIGMS NIH HHS R01 GM097509
6 · The paper itself

Abstract

Glycosyl groups are an essential mediator of molecular interactions in cells and on cellular surfaces. There are very few methods that directly relate sugar-containing molecules to their biosynthetic machineries. Here, we introduce glycogenomics as an experiment-guided genome-mining approach for fast characterization of glycosylated natural products (GNPs) and their biosynthetic pathways from genome-sequenced microbes by targeting glycosyl groups in microbial metabolomes. Microbial GNPs consist of aglycone and glycosyl structure groups in which the sugar unit(s) are often critical for the GNP's bioactivity, e.g., by promoting binding to a target biomolecule. GNPs are a structurally diverse class of molecules with important pharmaceutical and agrochemical applications. Herein, O- and N-glycosyl groups are characterized in their sugar monomers by tandem mass spectrometry (MS) and matched to corresponding glycosylation genes in secondary metabolic pathways by a MS-glycogenetic code. The associated aglycone biosynthetic genes of the GNP genotype then classify the natural product to further guide structure elucidation. We highlight the glycogenomic strategy by the characterization of several bioactive glycosylated molecules and their gene clusters, including the anticancer agent cinerubin B from Streptomyces sp. SPB74 and an antibiotic, arenimycin B, from Salinispora arenicola CNB-527.

Indexed as

MetabolomeBiological ProductsBiosynthetic PathwaysChromatography, GelChromatography, High Pressure LiquidData MiningGenes, MicrobialGenomicsGlycosylationMagnetic Resonance SpectroscopyMolecular StructureTandem Mass SpectrometryBiological Productsdeoxysugardrug discoverymicrobial genomicspolyketidesecondary metabolite

Identifiers

PMID24191063
PMCPMC3839717

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.