![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
|
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB | |
![[img]](http://edoc.mdc-berlin.de/style/images/fileicons/other.png) |
Other (Supplemental Information)
2MB |
| Item Type: | Review |
|---|---|
| Title: | Single-cell multi-omics and lineage tracing to dissect cell fate decision-making |
| Creators Name: | Haghverdi, L. and Ludwig, L.S. |
| Abstract: | The concept of cell fate relates to the future identity of a cell, and its daughters, which is obtained via cell differentiation and division. Understanding, predicting, and manipulating cell fate has been a long-sought goal of developmental and regenerative biology. Recent insights obtained from single-cell genomic and integrative lineage-tracing approaches have further aided to identify molecular features predictive of cell fate. In this perspective, we discuss these approaches with a focus on theoretical concepts and future directions of the field to dissect molecular mechanisms underlying cell fate. |
| Keywords: | Cell Fate Decision, Mathematical and Computational Models, Multi-Omics, Clonal Tracking, Haematopoiesis, Embryogenesis |
| Source: | Stem Cell Reports |
| ISSN: | 2213-6711 |
| Publisher: | Cell Press / Elsevier |
| Volume: | 18 |
| Number: | 1 |
| Page Range: | 13-25 |
| Date: | 10 January 2023 |
| Official Publication: | https://doi.org/10.1016/j.stemcr.2022.12.003 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Download Statistics
Download Statistics
