Cargando…
Two-level modeling approach to identify the regulatory dynamics capturing drug response heterogeneity in single-cells
Single-cell multimodal technologies reveal the scales of cellular heterogeneity impairing cancer treatment, yet cell response dynamics remain largely underused to decipher the mechanisms of drug resistance they take part in. As the phenotypic heterogeneity of a clonal cell population informs on the...
Autores principales: | Chaves, Madalena, Gomes-Pereira, Luis C., Roux, Jérémie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531316/ https://www.ncbi.nlm.nih.gov/pubmed/34675364 http://dx.doi.org/10.1038/s41598-021-99943-0 |
Ejemplares similares
-
Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies
por: J Joo, Jong Wha, et al.
Publicado: (2014) -
Sampling to capture single-cell heterogeneity
por: Rajaram, Satwik, et al.
Publicado: (2017) -
Capturing and Understanding the Dynamics and Heterogeneity of Gene Expression in the Living Cell
por: Pascual-Ahuir, Amparo, et al.
Publicado: (2020) -
Incorporating capture heterogeneity in the estimation of autoregressive coefficients of animal population dynamics using capture–recapture data
por: Nicolau, Pedro G., et al.
Publicado: (2020) -
Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy
por: Arbel, Hamutal, et al.
Publicado: (2019)