Evidence map›Paper›PMID 25657012›Full record

ArticleThe Journal of biological chemistry2015

A new versatile microarray-based method for high throughput screening of carbohydrate-active enzymes.

Silvia Vidal-Melgosa, Henriette L Pedersen, Julia Schückel, Grégory Arnal, Claire Dumon, Daniel B Amby, Rune Nygaard Monrad, Bjørge Westereng, William G T Willats

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
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  6. Review
  7. Article
  8. Synthetic Plant Glycan Microarrays as Tools for Plant Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Glycan Array Technology.Advances in biochemical engineering/biotechnology · 2021
    Article
  15. Article
  16. Review
  17. Article
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  20. 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

9 authors at 5 institutions in 4 countries.

Silvia Vidal-MelgosaFrom the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, 1871 Frederiksberg, Denmark.
Henriette L PedersenFrom the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, 1871 Frederiksberg, Denmark.
Julia SchückelFrom the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, 1871 Frederiksberg, Denmark.
Grégory ArnalINRA, UMR792 Ingénierie des Systèmes Biologiques et des Procédés, Toulouse F-31400, France, Université de Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France, CNRS, UMR5504, F-31400 Toulouse, France.
Claire DumonINRA, UMR792 Ingénierie des Systèmes Biologiques et des Procédés, Toulouse F-31400, France, Université de Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France, CNRS, UMR5504, F-31400 Toulouse, France.
Daniel B AmbyFrom the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, 1871 Frederiksberg, Denmark.
Rune Nygaard MonradNovozymes A/S, Krogshøjvej 36, 2880 Bagsværd, Denmark, and.
Bjørge WesterengFrom the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, 1871 Frederiksberg, Denmark, Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, 1432 Aas, Norway.
William G T WillatsFrom the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, 1871 Frederiksberg, Denmark, willats@plen.ku.dk.
University of Copenhagen · DKInstitut National de la Recherche Agronomique · MALaboratoire d'Ingénierie des Systèmes Biologiques et des Procédés · FRNorwegian University of Life Sciences · NONovozymes (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbohydrate-active enzymes have multiple biological roles and industrial applications. Advances in genome and transcriptome sequencing together with associated bioinformatics tools have identified vast numbers of putative carbohydrate-degrading and -modifying enzymes including glycoside hydrolases and lytic polysaccharide monooxygenases. However, there is a paucity of methods for rapidly screening the activities of these enzymes. By combining the multiplexing capacity of carbohydrate microarrays with the specificity of molecular probes, we have developed a sensitive, high throughput, and versatile semiquantitative enzyme screening technique that requires low amounts of enzyme and substrate. The method can be used to assess the activities of single enzymes, enzyme mixtures, and crude culture broths against single substrates, substrate mixtures, and biomass samples. Moreover, we show that the technique can be used to analyze both endo-acting and exo-acting glycoside hydrolases, polysaccharide lyases, carbohydrate esterases, and lytic polysaccharide monooxygenases. We demonstrate the potential of the technique by identifying the substrate specificities of purified uncharacterized enzymes and by screening enzyme activities from fungal culture broths.

Indexed as

Oligonucleotide Array Sequence AnalysisCarbohydratesEnzymesHigh-Throughput Screening AssaysCarbohydratesEnzymesCarbohydrate-active Enzymes (CAZymes)Carbohydrate-binding ModuleCAZy DatabaseEnzyme ActivityGlycoside HydrolaseHigh Throughput Screening (HTS)MicroarrayMonoclonal AntibodyPlant Cell WallPolysaccharide Degradation

Identifiers

PMID25657012
PMCPMC4423690
OpenAlexW2007604144

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.