Cargando…
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
Quantitative phosphoproteomics has transformed investigations of cell signaling, but it remains challenging to scale the technology for high-throughput analyses. Here we report a rapid and reproducible approach to analyze hundreds of phosphoproteomes using data-independent acquisition (DIA) with an...
Autores principales: | Bekker-Jensen, Dorte B., Bernhardt, Oliver M., Hogrebe, Alexander, Martinez-Val, Ana, Verbeke, Lynn, Gandhi, Tejas, Kelstrup, Christian D., Reiter, Lukas, Olsen, Jesper V. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005859/ https://www.ncbi.nlm.nih.gov/pubmed/32034161 http://dx.doi.org/10.1038/s41467-020-14609-1 |
Ejemplares similares
-
Benchmarking common quantification strategies for large-scale phosphoproteomics
por: Hogrebe, Alexander, et al.
Publicado: (2018) -
High‐precision iRT prediction in the targeted analysis of data‐independent acquisition and its impact on identification and quantitation
por: Bruderer, Roland, et al.
Publicado: (2016) -
MSLibrarian: Optimized
Predicted Spectral Libraries
for Data-Independent Acquisition Proteomics
por: Isaksson, Marc, et al.
Publicado: (2022) -
DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics
por: Midha, Mukul K., et al.
Publicado: (2020) -
In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics
por: Yang, Yi, et al.
Publicado: (2020)