Evidence map›Paper›PMID 16489452›Full record

ReviewApplied microbiology and biotechnology2006

Protein microarrays: a chance to study microorganisms?

Jürgen Kreutzberger

Open access · bronzeAbstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Applications of protein biochips in biomedical and biotechnological research.Angewandte Chemie (International ed. in English) · 2009
    Review
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

1 author at 1 institution in 1 country.

Jürgen KreutzbergerDepartment Lehrach, Max Planck Institute for molecular Genetics, Berlin, Germany. kreutzbg@molgen.mpg.de
Max Planck Institute for Molecular Genetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the last 5 years, protein microarrays have been developed and applied to multiple approaches: identification of protein-protein interactions or protein-small molecule interactions, cancer profiling, detection of microorganisms and toxins, and identification of antibodies due to allergens, autoantigens, and pathogens. Protein microarrays are small size (typically in the microscopy slide format) planar analytical devices with probes arranged in high density to provide the ability to screen several hundred to thousand known substrates (e.g., proteins, peptides, antibodies) simultaneously. Due to their small size, only minute amounts of spotted probes and analytes (e.g., serum) are needed; this is a particularly important feature, for these are limited or expensive. In this review, different types of protein microarrays are reviewed: protein microarrays (PMAs), with spotted proteins or peptides; antibody microarrays (AMAs), with spotted antibodies or antibody fragments (e.g., scFv); reverse phase protein microarrays (RPMAs), a special form of PMA where crude protein mixtures (e.g., cell lysates, fractions) are spotted; and nonprotein microarrays (NPMAs) where macromolecules other than proteins and nucleic acids (e.g., carbohydrates, monosaccharides, lipopolysaccharides) are spotted. In this study, exemplary experiments for all types of protein arrays are discussed wherever applicable with regard to investigations of microorganisms.

Indexed as

AnimalsAntibodies, BacterialAntibodies, ViralBacterial ProteinsHumansInfectionsProtein Array AnalysisSensitivity and SpecificitySerologic TestsAntibodies, BacterialAntibodies, ViralBacterial Proteins

Identifiers

PMID16489452
PMCPMC7080167
OpenAlexW2007390442

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.