Yinan Wan Lab | UNIL CIG - Current approaches to fate mapping and

Journal article

Steffen Wolf*, Yinan Wan*, K. McDole, (*equal contribution)
Development, 2021

DOI: 10.1242/dev.198994

DOI PubMed

Cite

APA Click to copy
Wolf*, S., Wan*, Y., McDole, K., & (*equal contribution). (2021). Current approaches to fate mapping and lineage tracing using image data. Development. https://doi.org/10.1242/dev.198994

Chicago/Turabian Click to copy
Wolf*, Steffen, Yinan Wan*, K. McDole, and (*equal contribution). “Current Approaches to Fate Mapping and Lineage Tracing Using Image Data.” Development (2021).

MLA Click to copy
Wolf*, Steffen, et al. “Current Approaches to Fate Mapping and Lineage Tracing Using Image Data.” Development, 2021, doi:10.1242/dev.198994.

BibTeX Click to copy

@article{steffen2021a,
  title = {Current approaches to fate mapping and lineage tracing using image data.},
  year = {2021},
  journal = {Development},
  doi = {10.1242/dev.198994},
  author = {Wolf*, Steffen and Wan*, Yinan and McDole, K. and (*equal contribution)}
}

Abstract

Visualizing, tracking and reconstructing cell lineages in developing embryos has been an ongoing effort for well over a century. Recent advances in light microscopy, labelling strategies and computational methods to analyse complex image datasets have enabled detailed investigations into the fates of cells. Combined with powerful new advances in genomics and single-cell transcriptomics, the field of developmental biology is able to describe the formation of the embryo like never before. In this Review, we discuss some of the different strategies and applications to lineage tracing in live-imaging data and outline software methodologies that can be applied to various cell-tracking challenges.