CellDestiny: A RShiny application for the visualization and analysis of single-cell lineage tracing data
Single-cell lineage tracing permits the labeling of individual cells with a heritable marker to follow the fate of each cell’s progeny. Over the last twenty years, several single-cell lineage tracing methods have emerged, enabling major discoveries in developmental biology, oncology and gene therapi...
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| Vydané v: | Frontiers in medicine Ročník 9; s. 919345 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Switzerland
Frontiers Media SA
05.10.2022
Frontiers media Frontiers Media S.A |
| Predmet: | |
| ISSN: | 2296-858X, 2296-858X |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Single-cell lineage tracing permits the labeling of individual cells with a heritable marker to follow the fate of each cell’s progeny. Over the last twenty years, several single-cell lineage tracing methods have emerged, enabling major discoveries in developmental biology, oncology and gene therapies. Analytical tools are needed to draw meaningful conclusions from lineage tracing measurements, which are characterized by high variability, sparsity and technical noise. However, the single cell lineage tracing field lacks versatile and easy-to-use tools for standardized and reproducible analyses, in particular tools accessible to biologists. Here we present CellDestiny, a RShiny app and associated web application developed for experimentalists without coding skills to perform visualization and analysis of single cell lineage-tracing datasets through a graphical user interface. We demonstrate the functionality of CellDestiny through the analysis of (i) lentiviral barcoding datasets of murine hematopoietic progenitors; (ii) published integration site data from Wiskott-Aldrich Symdrome patients undergoing gene-therapy treatment; and (iii) simultaneous barcoding and transcriptomic analysis of murine hematopoietic progenitor differentiation
in vitro
. In summary, CellDestiny is an easy-to-use and versatile toolkit that enables biologists to visualize and analyze single-cell lineage tracing data. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors share last authorship This article was submitted to Gene and Cell Therapy, a section of the journal Frontiers in Medicine Reviewed by: Lars Thielecke, Technical University Dresden, Germany; Jinzhuang Dou, The University of Texas MD Anderson Cancer Center, United States; Mark Enstrom, Fred Hutchinson Cancer Research Center, United States Edited by: Ingmar Glauche, Technical University Dresden, Germany |
| ISSN: | 2296-858X 2296-858X |
| DOI: | 10.3389/fmed.2022.919345 |