Amine-reactive Neutron-encoded Labels for Highly Plexed Proteomic Quantitation *
Molecular & Cellular Proteomics, ISSN: 1535-9476, Vol: 12, Issue: 11, Page: 3360-3369
2013
- 55Citations
- 67Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations55
- Citation Indexes53
- 53
- CrossRef49
- Patent Family Citations2
- Patent Families2
- Captures67
- Readers67
- 67
Article Description
We describe a novel amine-reactive chemical label that exploits differential neutron-binding energy between 13 C and 15 N isotopes. These neutron-encoded (NeuCode) chemical labels enable up to 12-plex MS1-based protein quantification. Each structurally identical, but isotopically unique, tag is encoded with a 12.6-mDa mass difference—relative to its nearest neighbor—so that peptides bearing these NeuCode signatures do not increase spectral complexity and are detected only upon analysis with very high mass-resolving powers. We demonstrate that the method provides quantitative performance that is comparable to both metabolic labeling and isobaric tagging while combining the benefits of both strategies. Finally, we employ the tags to characterize the proteome of Saccharomyces cerevisiae during the diauxic shift, a metabolic transition from fermentation to aerobic respiration.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1535947620346119; http://dx.doi.org/10.1074/mcp.m113.032011; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84887056777&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/23882030; https://linkinghub.elsevier.com/retrieve/pii/S1535947620346119; http://www.mcponline.org/lookup/doi/10.1074/mcp.M113.032011; https://syndication.highwire.org/content/doi/10.1074/mcp.M113.032011; https://dx.doi.org/10.1074/mcp.m113.032011; http://www.mcponline.org/content/12/11/3360; http://www.mcponline.org/content/12/11/3360.abstract; http://www.mcponline.org/content/12/11/3360.full.pdf; http://www.mcponline.org/cgi/doi/10.1074/mcp.M113.032011; https://www.mcponline.org/content/12/11/3360; https://www.mcponline.org/content/12/11/3360.abstract; https://www.mcponline.org/content/mcprot/12/11/3360.full.pdf; http://europepmc.org/abstract/med/23882030; http://europepmc.org/articles/PMC3820946
Elsevier BV
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