ArticleProteomics2009
Improved reproducibility of reverse-phase protein microarrays using array microenvironment normalization.
Article in Proteomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Integrative analysis of multi-platform reverse-phase protein array data for the pharmacodynamic assessment of response to targeted therapies.Scientific reports · 2020Article
- Probe-target hybridization depends on spatial uniformity of initial concentration condition across large-format chips.Scientific reports · 2020Article
- Analysis of Reverse Phase Protein Array Data: From Experimental Design towards Targeted Biomarker Discovery.Microarrays (Basel, Switzerland) · 2015Review
- A reverse-phase protein microarray-based screen identifies host signaling dynamics upon Burkholderia spp. infection.Frontiers in microbiology · 2015Article
- Realizing the promise of reverse phase protein arrays for clinical, translational, and basic research: a workshop report: the RPPA (Reverse Phase Protein Array) society.Molecular & cellular proteomics : MCP · 2014Article
- A predictor for predicting Escherichia coli transcriptome and the effects of gene perturbations.BMC bioinformatics · 2014Article
- Spatial normalization of reverse phase protein array data.PloS one · 2014Article
- Integrated imaging instrument for self-calibrated fluorescence protein microarrays.The Review of scientific instruments · 2013Article
- NormaCurve: a SuperCurve-based method that simultaneously quantifies and normalizes reverse phase protein array data.PloS one · 2012Article
- High resolution mapping of the cardiac transmural proteome using reverse phase protein microarrays.Molecular & cellular proteomics : MCP · 2011Article
- Reverse phase protein microarrays advance to use in clinical trials.Molecular oncology · 2010Review
- The grand challenge to decipher the cancer proteome.Nature reviews. Cancer · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We introduce a novel experimental methodology for the reverse-phase protein microarray platform which reduces the typical measurement CV as much as 70%. The methodology, referred to as array microenvironment normalization, increases the statistical power of the platform. In the experiment, it enabled the detection of a 1.1-fold shift in prostate specific antigen concentration using approximately six technical replicates rather than the 37 replicates previously required. The improved reproducibility and statistical power should facilitate clinical implementation of the platform.
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.