ArticleNature protocols2018
Multiplexed proteome analysis with neutron-encoded stable isotope labeling in cells and mice.
Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 50 citations in OpenAlex.
- Boosting Quantification of N-Glycans by an Enhanced Isobaric Multiplex Reagents for Carbonyl-Containing Compound (SUGAR) Tagging Strategy.Journal of the American Society for Mass Spectrometry · 2025Article
- A Tutorial Review of Labeling Methods in Mass Spectrometry-Based Quantitative Proteomics.ACS measurement science au · 2024Review
- Instrumentation at the Leading Edge of Proteomics.Analytical chemistry · 2024Review
- Identification of Proteomic Biomarkers of Acetaminophen-Induced Hepatotoxicity Using Stable Isotope Labeling.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Chemo-proteomics in antimalarial target identification and engagement.Medicinal research reviews · 2023Review
- Omics and systems view of innate immune pathways.Proteomics · 2023Review
- Chemical isotope labeling for quantitative proteomics.Mass spectrometry reviews · 2023Review
- Using the Proteomics Toolbox to Resolve Topology and Dynamics of Compartmentalized cAMP Signaling.International journal of molecular sciences · 2023Review
- Pyruvate dehydrogenase deficiency disease detected by the enzyme activity of peripheral leukocytes.Molecular genetics & genomic medicine · 2021Article
- Quantitative Mass Spectrometry-Based Proteomics: An Overview.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Complexome Profiling-Exploring Mitochondrial Protein Complexes in Health and Disease.Frontiers in cell and developmental biology · 2021Review
- Defining the carrier proteome limit for single-cell proteomics.Nature methods · 2021Article
- Analyzing Ribosome Remodeling in Health and Disease.Proteomics · 2020Review
- Article
- A mass spectrometry workflow for measuring protein turnover rates in vivo.Nature protocols · 2019Article
- A Review on Quantitative Multiplexed Proteomics.Chembiochem : a European journal of chemical biology · 2019Review
- Protein identification strategies in MALDI imaging mass spectrometry: a brief review.Current opinion in chemical biology · 2019Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
We describe a protocol for multiplexed proteomic analysis using neutron-encoded (NeuCode) stable isotope labeling of amino acids in cells (SILAC) or mice (SILAM). This method currently enables simultaneous comparison of up to nine treatment and control proteomes. Another important advantage over traditional SILAC/SILAM is that shorter labeling times are required. Exploiting the small mass differences that correspond to subtle differences in the neutron-binding energies of different isotopes, the amino acids used in NeuCode SILAC/SILAM differ in mass by just a few milliDaltons. Isotopologs of lysine are introduced into cells or mammals, via the culture medium or diet, respectively, to metabolically label the proteome. Labeling time is ∼2 weeks for cultured cells and 3-4 weeks for mammals. The proteins are then extracted, relevant samples are combined, and these are enzymatically digested with lysyl endopeptidase (Lys-C). The resultant peptides are chromatographically separated and then mass analyzed. During mass spectrometry (MS) data acquisition, high-resolution MS
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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.