Cargando…
Identification via Numerical Computation of Transcriptional Determinants of a Cell Phenotype Decision Making
Complex cellular processes, such as phenotype decision making, are exceedingly difficult to analyze experimentally, due to the multiple-layer regulation of gene expression and the intercellular variability referred to as biological noise. Moreover, the heterogeneous experimental approaches used to i...
Autores principales: | Cortesi, Marilisa, Pasini, Alice, Furini, Simone, Giordano, Emanuele |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598594/ https://www.ncbi.nlm.nih.gov/pubmed/31293614 http://dx.doi.org/10.3389/fgene.2019.00575 |
Ejemplares similares
-
Reliable measurement of E. coli single cell fluorescence distribution using a standard microscope set-up
por: Cortesi, Marilisa, et al.
Publicado: (2017) -
Novel Polyamine–Naphthalene Diimide Conjugates
Targeting Histone Deacetylases and DNA for Cancer Phenotype Reprogramming
por: Pasini, Alice, et al.
Publicado: (2017) -
Perfusion Flow Enhances Viability and Migratory Phenotype in 3D-Cultured Breast Cancer Cells
por: Pasini, Alice, et al.
Publicado: (2021) -
Phenotypic Variability in Synthetic Biology Applications: Dealing with Noise in Microbial Gene Expression
por: Bandiera, Lucia, et al.
Publicado: (2016) -
Non-destructive monitoring of 3D cell cultures: new technologies and applications
por: Cortesi, Marilisa, et al.
Publicado: (2022)