ArticleJournal of proteome research2011
Relative quantification: characterization of bias, variability and fold changes in mass spectrometry data from iTRAQ-labeled peptides.
Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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.
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Who cites it
28 citing papers in PubMed.
- Nitric oxide required for transition to slower hepatic protein synthesis rates during long-term caloric restriction.The Journal of clinical investigation · 2026Article
- zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation.Genome biology · 2024Article
- Data-Independent Acquisition: A Milestone and Prospect in Clinical Mass Spectrometry-Based Proteomics.Molecular & cellular proteomics : MCP · 2024Review
- A conserved guided entry of tail-anchored pathway is involved in the trafficking of a subset of membrane proteins in Plasmodium falciparum.PLoS pathogens · 2021Article
- Global Proteomic Analysis ofFoods (Basel, Switzerland) · 2021Article
- Proteomes Are of Proteoforms: Embracing the Complexity.Proteomes · 2021Review
- Quantitative proteomics revealed C6orf203/MTRES1 as a factor preventing stress-induced transcription deficiency in human mitochondria.Nucleic acids research · 2019Article
- DeepLigand: accurate prediction of MHC class I ligands using peptide embedding.Bioinformatics (Oxford, England) · 2019Article
- Sum of peak intensities outperforms peak area integration in iTRAQ protein expression measurement by LC-MS/MS using a TripleTOF 5600+ platform.Bioscience reports · 2019Article
- Quantitative Early Auxin Root Proteomics Identifies GAUT10, a Galacturonosyltransferase, as a Novel Regulator of Root Meristem Maintenance.Molecular & cellular proteomics : MCP · 2019Article
- Differential protein expression and post-translational modifications in metronidazole-resistant Giardia duodenalis.GigaScience · 2018Article
- Quality Assessments of Long-Term Quantitative Proteomic Analysis of Breast Cancer Xenograft Tissues.Journal of proteome research · 2017Article
- Data for iTRAQ-based quantification of the cardiac proteome of rainbow trout (Data in brief · 2017Article
- Complementary Post Transcriptional Regulatory Information is Detected by PUNCH-P and Ribosome Profiling.Scientific reports · 2016Article
- Induction of virulence factors in Giardia duodenalis independent of host attachment.Scientific reports · 2016Article
- Proteomic analysis of early-stage embryos: implications for egg quality in hapuku (Polyprion oxygeneios).Fish physiology and biochemistry · 2015Article
- An Efficient Approach to Evaluate Reporter Ion Behavior from MALDI-MS/MS Data for Quantification Studies Using Isobaric Tags.Journal of proteome research · 2015Article
- Isobaric labeling-based relative quantification in shotgun proteomics.Journal of proteome research · 2014Review
- Identification of putative biomarkers for HIV-associated neurocognitive impairment in the CSF of HIV-infected patients under cART therapy determined by mass spectrometry.Journal of neurovirology · 2014Article
- The necrotrophic effector protein SnTox3 re-programs metabolism and elicits a strong defence response in susceptible wheat leaves.BMC plant biology · 2014Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Shotgun proteomics via mass spectrometry (MS) is a powerful technology for biomarker discovery that has the potential to lead to noninvasive disease screening mechanisms. Successful application of MS-based proteomics technologies for biomarker discovery requires accurate expectations of bias, reproducibility, variance, and the true detectable differences in platforms chosen for analyses. Characterization of the variability inherent in MS assays is vital and should affect interpretation of measurements of observed differences in biological samples. Here we describe observed biases, variance structure, and the ability to detect known differences in spike-in data sets for which true relative abundance among defined samples were known and were subsequently measured with the iTRAQ technology on two MS platforms. Global biases were observed within these data sets. Measured variability was a function of mean abundance. Fold changes were biased toward the null and variance of a fold change was a function of protein mass and abundance. The information presented herein will be valuable for experimental design and analysis of the resulting data.
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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.