Cargando…
Flexible Quality Control for Protein Turnover Rates Using d2ome
Bioinformatics tools are used to estimate in vivo protein turnover rates from the LC-MS data of heavy water labeled samples in high throughput. The quantification includes peak detection and integration in the LC-MS domain of complex input data of the mammalian proteome, which requires the integrati...
Autores principales: | Deberneh, Henock M., Sadygov, Rovshan G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649227/ https://www.ncbi.nlm.nih.gov/pubmed/37958536 http://dx.doi.org/10.3390/ijms242115553 |
Ejemplares similares
-
Software Tool for Visualization and Validation of Protein Turnover Rates Using Heavy Water Metabolic Labeling and LC-MS
por: Deberneh, Henock M., et al.
Publicado: (2022) -
Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling
por: Deberneh, Henock M., et al.
Publicado: (2023) -
A large-scale LC-MS dataset of murine liver proteome from time course of heavy water metabolic labeling
por: Deberneh, Henock M., et al.
Publicado: (2023) -
High Mass Accuracy Phosphopeptide Identification Using Tandem Mass Spectra
por: Sadygov, Rovshan G.
Publicado: (2012) -
High-Resolution Mass Spectrometry for In Vivo Proteome Dynamics using Heavy Water Metabolic Labeling
por: Sadygov, Rovshan G.
Publicado: (2020)