Cargando…
Exploring functional protein covariation across single cells using nPOP
BACKGROUND: Many biological processes, such as cell division cycle and drug resistance, are reflected in protein covariation across single cells. This covariation can be quantified and interpreted by single-cell mass spectrometry with sufficiently high throughput and accuracy. RESULTS: Here, we desc...
Autores principales: | Leduc, Andrew, Huffman, R. Gray, Cantlon, Joshua, Khan, Saad, Slavov, Nikolai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756690/ https://www.ncbi.nlm.nih.gov/pubmed/36527135 http://dx.doi.org/10.1186/s13059-022-02817-5 |
Ejemplares similares
-
Modeling and interpretation of single-cell proteogenomic data
por: Leduc, Andrew, et al.
Publicado: (2023) -
Learning from natural variation across the proteomes of single cells
por: Slavov, Nikolai
Publicado: (2022) -
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics
por: Huffman, R. Gray, et al.
Publicado: (2023) -
Data-Driven Optimization of DIA Mass Spectrometry by DO-MS
por: Wallmann, Georg, et al.
Publicado: (2023) -
Data-Driven
Optimization
of DIA Mass Spectrometry
by DO-MS
por: Wallmann, Georg, et al.
Publicado: (2023)