Dynamics of embryonic stem cell differentiation inferred from single-cell transcriptomics show a series of transitions through discrete cell states

The complexity of gene regulatory networks that lead multipotent cells to acquire different cell fates makes a quantitative understanding of differentiation challenging. Using a statistical framework to analyze single-cell transcriptomics data, we infer the gene expression dynamics of early mouse em...

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Detalles Bibliográficos
Autores principales: Jang, Sumin, Choubey, Sandeep, Furchtgott, Leon, Zou, Ling-Nan, Doyle, Adele, Menon, Vilas, Loew, Ethan B, Krostag, Anne-Rachel, Martinez, Refugio A, Madisen, Linda, Levi, Boaz P, Ramanathan, Sharad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352225/
https://www.ncbi.nlm.nih.gov/pubmed/28296635
http://dx.doi.org/10.7554/eLife.20487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352225/
https://www.ncbi.nlm.nih.gov/pubmed/28296635
http://dx.doi.org/10.7554/eLife.20487

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