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pmid: 16615898
Organs and organelles represent core biological systems in mammals, but the diversity in protein composition remains unclear. Here, we combine subcellular fractionation with exhaustive tandem mass spectrometry-based shotgun sequencing to examine the protein content of four major organellar compartments (cytosol, membranes [microsomes], mitochondria, and nuclei) in six organs (brain, heart, kidney, liver, lung, and placenta) of the laboratory mouse, Mus musculus. Using rigorous statistical filtering and machine-learning methods, the subcellular localization of 3274 of the 4768 proteins identified was determined with high confidence, including 1503 previously uncharacterized factors, while tissue selectivity was evaluated by comparison to previously reported mRNA expression patterns. This molecular compendium, fully accessible via a searchable web-browser interface, serves as a reliable reference of the expressed tissue and organelle proteomes of a leading model mammal.
Cell Nucleus, Organelles, Proteomics, Transcription, Genetic, Biochemistry, Genetics and Molecular Biology(all), Gene Expression Profiling, Green Fluorescent Proteins, Computational Biology, Proteins, Reproducibility of Results, Mitochondria, Mice, Protein Transport, Gene Expression Regulation, Organ Specificity, Microsomes, Animals, RNA, Messenger
Cell Nucleus, Organelles, Proteomics, Transcription, Genetic, Biochemistry, Genetics and Molecular Biology(all), Gene Expression Profiling, Green Fluorescent Proteins, Computational Biology, Proteins, Reproducibility of Results, Mitochondria, Mice, Protein Transport, Gene Expression Regulation, Organ Specificity, Microsomes, Animals, RNA, Messenger
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 427 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |