Evidence map›Paper›PMID 10742225›Full record

ArticleApplied and environmental microbiology2000

Imaging the enzymatic digestion of bacterial cellulose ribbons reveals the endo character of the cellobiohydrolase Cel6A from Humicola insolens and its mode of synergy with cellobiohydrolase Cel7A.

C Boisset, C Fraschini, M Schülein, B Henrissat, H Chanzy

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

55 citing papers in PubMed.

  1. Article
  2. Journal of fungi (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Journal of fungi (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Advantages of a distant cellulase catalytic base.The Journal of biological chemistry · 2018
    Article
  15. Article
  16. Article
  17. Review
  18. Conferring cellulose-degrading ability toBiotechnology for biofuels · 2017
    Article
  19. Article
  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

5 authors.

C BoissetCentre de Recherches sur les Macromolécules Végétales (CNRS), Joseph Fourier University of Grenoble, F-38041 Grenoble Cedex, France. Claire.Boisset@cermav.cnrs.fr
C Fraschini
M Schülein
B Henrissat
H Chanzy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dispersed cellulose ribbons from bacterial cellulose were subjected to digestion with cloned Cel7A (cellobiohydrolase [CBH] I) and Cel6A (CBH II) from Humicola insolens either alone or in a mixture and in the presence of an excess of beta-glucosidase. Both Cel7A and Cel6A were effective in partially converting the ribbons into soluble sugars, Cel7A being more active than Cel6A. In combination, these enzymes showed substantial synergy culminating with a molar ratio of approximately two-thirds Cel6A and one-third Cel7A. Ultrastructural transmission electron microscopy (TEM) observations indicated that Cel7A induced a thinning of the cellulose ribbons, whereas Cel6A cut the ribbons into shorter elements, indicating an endo type of action. These observations, together with the examination of the digestion kinetics, indicate that Cel6A can be classified as an endo-processive enzyme, whereas Cel7A is essentially a processive enzyme. Thus, the synergy resulting from the mixing of Cel6A and Cel7A can be explained by the partial endo character of Cel6A. A preparation of bacterial cellulose ribbons appears to be an appropriate substrate, superior to Valonia or bacterial cellulose microcrystals, to visualize directly by TEM the endo-processivity of an enzyme such as Cel6A.

Indexed as

Aspergillus nigerBacteriaCellulaseCelluloseCellulose 1,4-beta-CellobiosidaseCloning, MolecularMicroscopy, ElectronMitosporic FungiCellulaseCelluloseCellulose 1,4-beta-Cellobiosidase

Identifiers

PMID10742225
PMCPMC92006

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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.