Evidence map›Paper›PMID 20205302›Full record

ReviewJournal of Zhejiang University. Science. B2010

Review: Global nutrient profiling by Phenotype MicroArrays: a tool complementing genomic and proteomic studies in conidial fungi.

Lea Atanasova, Irina S Druzhinina

Abstract readReview
In one paragraph

Review in Journal of Zhejiang University. Science. B, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Metabolic Capacity DifferentiatesPathogens (Basel, Switzerland) · 2022
    Article
  7. Article
  8. Biocontrol ofInsects · 2021
    Article
  9. Article
  10. How DoInternational journal of molecular sciences · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. An Endohyphal Bacterium (Frontiers in microbiology · 2017
    Article
  16. Article
  17. Review
  18. Article
  19. Laccase production and metabolic diversity among Flammulina velutipes strains.World journal of microbiology & biotechnology · 2015
    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

2 authors.

Lea AtanasovaResearch Area of Gene Technology and Applied Biochemistry, Institute of Chemical Engineering, Vienna University of Technology, A-1060 Vienna, Austria.
Irina S Druzhinina

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conidial fungi or molds and mildews are widely used in modern biotechnology as producers of antibiotics and other secondary metabolites, industrially important enzymes, chemicals and food. They are also important pathogens of animals including humans and agricultural crops. These various applications and extremely versatile natural phenotypes have led to the constantly growing list of complete genomes which are now available. Functional genomics and proteomics widely exploit the genomic information to study the cell-wide impact of altered genes on the phenotype of an organism and its function. This allows for global analysis of the information flow from DNA to RNA to protein, but it is usually not sufficient for the description of the global phenotype of an organism. More recently, Phenotype MicroArray (PM) technology has been introduced as a tool to characterize the metabolism of a (wild) fungal strain or a mutant. In this article, we review the background of PM applications for fungi and the methodic requirements to obtain reliable results. We also report examples of the versatility of this tool.

Indexed as

Fungal ProteinsGene Expression ProfilingOligonucleotide Array Sequence AnalysisPhenotypeProteomicsSpores, FungalFungal Proteins

Identifiers

PMID20205302
PMCPMC2833400

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.