ArticleNew biotechnology2013
Multiplex protein detection with DNA readout via mass spectrometry.
Article in New biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Multiplex protein profiling method for extracellular vesicle protein detection.Scientific reports · 2021Article
- Application of proximity ligation assays to identify potential plasma biomarkers in oral cavity cancer patients: A case control study.Cancer biomarkers : section A of Disease markers · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Multiplex protein quantification has been constrained by issues of assay specificity, sensitivity and throughput. This research presents a novel approach that overcomes these limitations using antibody-oligonucleotide conjugates for immuno-polymerase chain reaction (immuno-PCR) or proximity ligation, coupled with competitive PCR and MALDI-TOF mass spectrometry. Employing these combinations of technologies, we demonstrate multiplex detection and quantification of up to eight proteins, spanning wide dynamic ranges from femtomolar concentrations, using only microliter sample volumes.
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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.