Evidence map›Paper›PMID 21614200›Full record

ReviewInternational journal of molecular sciences2010

Protein microarrays and biomarkers of infectious disease.

Mohan Natesan, Robert G Ulrich

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Aggregation Properties of Albumin in Interacting with Magnetic Fluids.International journal of molecular sciences · 2021
    Article
  4. Review
  5. Article
  6. Review
  7. Antigen Analysis of Pre-Eclamptic Plasma Antibodies UsingMolecular & cellular proteomics : MCP · 2018
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Data Analysis Strategies for Protein Microarrays.Microarrays (Basel, Switzerland) · 2012
    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

2 authors.

Mohan NatesanDepartment of Immunology, United States Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA; E-Mail: rulrich@bioanalysis.org.
Robert G Ulrich

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein microarrays are powerful tools that are widely used in systems biology research. For infectious diseases, proteome microarrays assembled from proteins of pathogens will play an increasingly important role in discovery of diagnostic markers, vaccines, and therapeutics. Distinct formats of protein microarrays have been developed for different applications, including abundance-based and function-based methods. Depending on the application, design issues should be considered, such as the need for multiplexing and label or label free detection methods. New developments, challenges, and future demands in infectious disease research will impact the application of protein microarrays for discovery and validation of biomarkers.

Indexed as

AnimalsBiomarkersHumansInfectionsProtein Array AnalysisBiomarkersbiomarkersinfectious diseasesprotein microarray

Identifiers

PMID21614200
PMCPMC3100839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.