ArticleProteome science2013
On protein abundance distributions in complex mixtures.
Article in Proteome science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Statistical methods for comparing two independent exponential-gamma means with application to single cell protein data.PloS one · 2024Article
- Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms.Proteomes · 2023Review
- Can the post-ruminal urea release impact liver metabolism, and nutritional status of beef cows at late gestation?PloS one · 2023Article
- Improving the Identification and Coverage of Plant Transmembrane Proteins inFrontiers in plant science · 2020Article
- A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis.Scientific reports · 2018Article
- Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples.The Plant journal : for cell and molecular biology · 2017Article
- A Bayesian algorithm for detecting differentially expressed proteins and its application in breast cancer research.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mass spectrometry, an analytical technique that measures the mass-to-charge ratio of ionized atoms or molecules, dates back more than 100 years, and has both qualitative and quantitative uses for determining chemical and structural information. Quantitative proteomic mass spectrometry on biological samples focuses on identifying the proteins present in the samples, and establishing the relative abundances of those proteins. Such protein inventories create the opportunity to discover novel biomarkers and disease targets. We have previously introduced a normalized, label-free method for quantification of protein abundances under a shotgun proteomics platform (Griffin et al., 2010). The introduction of this method for quantifying and comparing protein levels leads naturally to the issue of modeling protein abundances in individual samples. We here report that protein abundance levels from two recent proteomics experiments conducted by the authors can be adequately represented by Sichel distributions. Mathematically, Sichel distributions are mixtures of Poisson distributions with a rather complex mixing distribution, and have been previously and successfully applied to linguistics and species abundance data. The Sichel model can provide a direct measure of the heterogeneity of protein abundances, and can reveal protein abundance differences that simpler models fail to show.
Identifiers
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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.