Integrated proteomic analysis of post-translational modifications by serial enrichment
By Philipp Mertins, Jana W. Qiao, Jinal Patel, N. Udeshi, Karl R. Clauser, D. Mani, Michael W. Burgess, Michael A. Gillette, Jacob D. Jaffe, Steve Carr. Nature Methods, 2013
603 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/3e5fe382a71ac06a2eba5425004e6b9917ee3087
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Alexey I. Nesvizhskii
- Dmitry Avtonomov
- Andy T. Kong
- B. Kuster
- Marcus Bantscheff
- Mikhail M. Savitski
- Mathias Wilhelm
- Hannes Hahne
In Spectroscopy
- Alexey I. Nesvizhskii
- Dmitry Avtonomov
- Andy T. Kong
- B. Kuster
- Marcus Bantscheff
- Mikhail M. Savitski
- Mathias Wilhelm
- Hannes Hahne
Citations in the corpus
- Multidimensional proteomics for cell biology (2015, methodology): “An interesting aspect to the property of protein turn over rate is that newly synthesized proteins must undergo many changes to become fully functional, including proper folding and often PTMs and binding to other proteins.”
- A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets (2015, methodology): “Finally, we applied the picked TDS to the reanalysis of a number of published large-scale protein identification projects (9, 39–45) and found that the picked TDS consistently identified a larger number of proteins than the classic TDS (Fig.”
- Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma (2019, methodology): “Enrichment of Phosphopeptides by Fe-IMAC: The remaining 95% of the sample was further concatenated before being subjected to phosphopeptide enrichment using immobilized metal affinity chromatography (IMAC) as previously described (Mertins et al., 2013).”