Label-free quantitative proteomics in yeast
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 1361, Page: 289-307
2016
- 7Citations
- 21Captures
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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
- Citations7
- Citation Indexes7
- CrossRef5
- Captures21
- Readers21
- 21
Book Chapter Description
Label-free bottom-up shotgun MS-based proteomics is an extremely powerful and simple tool to provide high quality quantitative analyses of the yeast proteome with only microgram amounts of total protein. Although the experimental design of this approach is rather straightforward and does not require the modification of growth conditions, proteins or peptides, several factors must be taken into account to benefit fully from the power of this method. Key factors include the choice of an appropriate method for the preparation of protein extracts, careful evaluation of the instrument design and available analytical capabilities, the choice of the quantification method (intensity-based vs. spectral count), and the proper manipulation of the selected quantifi cation algorithm. The elaboration of this robust workfl ow for data acquisition, processing, and analysis provides unprecedented insight into the dynamics of the yeast proteome.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84944789839&origin=inward; http://dx.doi.org/10.1007/978-1-4939-3079-1_16; http://www.ncbi.nlm.nih.gov/pubmed/26483028; https://link.springer.com/10.1007/978-1-4939-3079-1_16; https://dx.doi.org/10.1007/978-1-4939-3079-1_16; https://link.springer.com/protocol/10.1007/978-1-4939-3079-1_16
Springer Science and Business Media LLC
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