ReviewJournal of biomedicine & biotechnology2012
Facing current quantification challenges in protein microarrays.
Review in Journal of biomedicine & biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- A decline in avian cytokine expression with age revealed by commercially available cytokine array.Frontiers in physiology · 2023Article
- Article
- The Use of Antibody Arrays in the Discovery of New Plasma Biomarkers for Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2020Article
- A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection.Journal of visualized experiments : JoVE · 2018Article
- Transport of biomolecules to binding partners displayed on the surface of microbeads arrayed in traps in a microfluidic cell.Biomicrofluidics · 2017Article
- Up-to-Date Applications of Microarrays and Their Way to Commercialization.Microarrays (Basel, Switzerland) · 2015Review
- Protein Microarrays with Novel Microfluidic Methods: Current Advances.Microarrays (Basel, Switzerland) · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The proteome is highly variable and differs from cell to cell. The reasons are posttranslational modifications, splice variants, and polymorphisms. Techniques like next-generation sequencing can only give an inadequate picture of the protein status of a cell. Protein microarrays are able to track these changes on the level they occur: the proteomic level. Therefore, protein microarrays are powerful tools for relative protein quantification, to unveil new interaction partners and to track posttranslational modifications. This papers gives an overview on current protein microarray techniques and discusses recent advances in relative protein quantification.
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Registered trials
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.