ArticleJournal of proteome research2008
A computational strategy to analyze label-free temporal bottom-up proteomics data.
Article in Journal of proteome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed.
- Bioinformatic Analysis of Temporal and Spatial Proteome Alternations During Infections.Frontiers in genetics · 2021Review
- Mass spectrometric analysis of the N-glycoproteome in statin-treated liver cells with two lectin-independent chemical enrichment methods.International journal of mass spectrometry · 2018Article
- Mass spectrometric analysis of the cell surface N-glycoproteome by combining metabolic labeling and click chemistry.Journal of the American Society for Mass Spectrometry · 2015Article
- A universal chemical enrichment method for mapping the yeast N-glycoproteome by mass spectrometry (MS).Molecular & cellular proteomics : MCP · 2014Article
- Review
- Putative glycosyltransferases and other plant Golgi apparatus proteins are revealed by LOPIT proteomics.Plant physiology · 2012Article
- Correct interpretation of comprehensive phosphorylation dynamics requires normalization by protein expression changes.Molecular & cellular proteomics : MCP · 2011Article
- Article
- Time-course analysis of the Shewanella amazonensis SB2B proteome in response to sodium chloride shock.Scientific reports · 2011Article
- Proteomics: a pragmatic perspective.Nature biotechnology · 2010Review
- A glimpse into the proteome of phototrophic bacterium Rhodobacter capsulatus.Advances in experimental medicine and biology · 2010Article
- Recent developments in parameter estimation and structure identification of biochemical and genomic systems.Mathematical biosciences · 2009Review
- System estimation from metabolic time-series data.Bioinformatics (Oxford, England) · 2008Article
- Protein dynamics in iron-starved Mycobacterium tuberculosis revealed by turnover and abundance measurement using hybrid-linear ion trap-Fourier transform mass spectrometry.Analytical chemistry · 2008Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Biological systems are in a continual state of flux, which necessitates an understanding of the dynamic nature of protein abundances. The study of protein abundance dynamics has become feasible with recent improvements in mass spectrometry-based quantitative proteomics. However, a number of challenges still remain related to how best to extract biological information from dynamic proteomics data, for example, challenges related to extraneous variability, missing abundance values, and the identification of significant temporal patterns. This paper describes a strategy that addresses these issues and demonstrates its values for analyzing temporal bottom-up proteomics data using data from a Rhodobacter sphaeroides 2.4.1 time-course study.
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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.