ReviewBriefings in functional genomics & proteomics2009
Quantitative strategies to fuel the merger of discovery and hypothesis-driven shotgun proteomics.
Review in Briefings in functional genomics & proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Differential protein expression and basal lamina remodeling in human heart failure.Proteomics. Clinical applications · 2016Article
- Transcriptome and proteome research in veterinary science: what is possible and what questions can be asked?TheScientificWorldJournal · 2012Review
- Liver expression quantitative trait loci: a foundation for pharmacogenomic research.Frontiers in genetics · 2012Article
- Building protein-protein interaction networks with proteomics and informatics tools.The Journal of biological chemistry · 2011Review
- Glycan labeling strategies and their use in identification and quantification.Analytical and bioanalytical chemistry · 2010Review
- Enriching quantitative proteomics with SI(N).Nature biotechnology · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The ultimate goal of most shotgun proteomic pipelines is the discovery of novel biomarkers to direct the development of quantitative diagnostics for the detection and treatment of disease. Differential comparisons of biological samples identify candidate peptides that can serve as proxys of candidate proteins. While these discovery approaches are robust and fairly comprehensive, they have relatively low throughput. When merged with targeted mass spectrometry, this pipeline can fuel hypothesis-driven studies and the development of novel diagnostics and therapeutics.
Indexed as
Identifiers
What OpenQuestion holds
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.