Cargando…
Evaluating the Effect of Cell Culture on Gene Expression in Primary Tissue Samples Using Microfluidic-Based Single Cell Transcriptional Analysis
Significant transcriptional heterogeneity is an inherent property of complex tissues such as tumors and healing wounds. Traditional methods of high-throughput analysis rely on pooling gene expression data from hundreds of thousands of cells and reporting a population-wide average that is unable to c...
Autores principales: | Januszyk, Michael, Rennert, Robert C., Sorkin, Michael, Maan, Zeshaan N., Wong, Lisa K., Whittam, Alexander J., Whitmore, Arnetha, Duscher, Dominik, Gurtner, Geoffrey C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996408/ https://www.ncbi.nlm.nih.gov/pubmed/27600239 http://dx.doi.org/10.3390/microarrays4040540 |
Ejemplares similares
-
Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies
por: Rennert, Robert C., et al.
Publicado: (2016) -
High-Resolution Microfluidic Single-Cell Transcriptional Profiling Reveals Clinically Relevant Subtypes among Human Stem Cell Populations Commonly Utilized in Cell-Based Therapies
por: Rennert, Robert C., et al.
Publicado: (2016) -
Diabetes Irreversibly Depletes Bone Marrow–Derived Mesenchymal Progenitor Cell Subpopulations
por: Januszyk, Michael, et al.
Publicado: (2014) -
Diabetes impairs the angiogenic potential of adipose-derived stem cells by selectively depleting cellular subpopulations
por: Rennert, Robert C, et al.
Publicado: (2014) -
Aging disrupts cell subpopulation dynamics and diminishes the function of mesenchymal stem cells
por: Duscher, Dominik, et al.
Publicado: (2014)