Evidence map›Paper›PMID 21131080›Full record

ReviewTrends in biotechnology2011

Engineering biofilm formation and dispersal.

Thomas K Wood, Seok Hoon Hong, Qun Ma

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Environmental proteomic studies: closer step to understand bacterial biofilms.World journal of microbiology & biotechnology · 2018
    Review
  12. Review
  13. Article
  14. Article
  15. Advances in the treatment of problematic industrial biofilms.World journal of microbiology & biotechnology · 2017
    Review
  16. Article
  17. Review
  18. The Three Bacterial Lines of Defense against Antimicrobial Agents.International journal of molecular sciences · 2015
    Review
  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

3 authors.

Thomas K WoodDepartment of Chemical Engineering, 220 Jack E. Brown Building, Texas A & M University, College Station, TX 77843-3122, USA. Thomas.Wood@chemail.tamu.edu
Seok Hoon Hong
Qun Ma

Funding

Re-Wiring Cellular Metabolism to Control Biofilm Formation and Virulence BY...R01GM089999 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI WOOD, THOMAS K · 2009 to 2011
$846k
NIGMS NIH HHS R01 GM089999
6 · The paper itself

Abstract

Anywhere water is in the liquid state, bacteria will exist as biofilms, which are complex communities of cells that are cemented together. Although frequently associated with disease and biofouling, biofilms are also important for engineering applications, such as bioremediation, biocatalysis and microbial fuel cells. Here, we review approaches to alter genetic circuits and cell signaling towards controlling biofilm formation, and emphasize utilizing these tools for engineering applications. Based on a better understanding of the genetic basis of biofilm formation, we find that biofilms might be controlled by manipulating extracellular signals, and that they might be dispersed using conserved intracellular signals and regulators. Biofilms could also be formed at specific locations where they might be engineered to make chemicals or treat human disease.

Indexed as

Bacterial Physiological PhenomenaBiofilmsBacterial ProteinsBacteriophagesGene ExpressionHumansProtein EngineeringQuorum SensingSignal TransductionBacterial Proteins

Identifiers

PMID21131080
PMCPMC3044331

What OpenQuestion holds

Textmetadata
LicenceTDM
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.