Cargando…
Super-SILAC Allows Classification of Diffuse Large B-cell Lymphoma Subtypes by Their Protein Expression Profiles
Correct classification of cancer patients into subtypes is a prerequisite for acute diagnosis and effective treatment. Currently this classification relies mainly on histological assessment, but gene expression analysis by microarrays has shown great promise. Here we show that high accuracy, quantit...
Autores principales: | Deeb, Sally J., D'Souza, Rochelle C. J., Cox, Jürgen, Schmidt-Supprian, Marc, Mann, Matthias |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418848/ https://www.ncbi.nlm.nih.gov/pubmed/22442255 http://dx.doi.org/10.1074/mcp.M111.015362 |
Ejemplares similares
-
Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles
por: Deeb, Sally J., et al.
Publicado: (2015) -
Quantification of the N-glycosylated Secretome by Super-SILAC During Breast Cancer Progression and in Human Blood Samples
por: Boersema, Paul J., et al.
Publicado: (2013) -
A super-SILAC based proteomics analysis of diffuse large B-cell lymphoma-NOS patient samples to identify new proteins that discriminate GCB and non-GCB lymphomas
por: van der Meeren, L. E., et al.
Publicado: (2019) -
SILAC-Based Quantitative Proteomic Analysis of Diffuse Large B-Cell Lymphoma Patients
por: Rüetschi, Ulla, et al.
Publicado: (2015) -
SuperSILAC Quantitative Proteome Profiling of Murine Middle Ear Epithelial Cell Remodeling with NTHi
por: Val, Stéphanie, et al.
Publicado: (2016)