Lineage Tracing: Computational Reconstruction Goes Beyond the Limit of Imaging.
Mol Cells
; 42(2): 104-112, 2019 Feb 28.
Article
in En
| MEDLINE
| ID: mdl-30764600
ABSTRACT
Tracking the fate of individual cells and their progeny through lineage tracing has been widely used to investigate various biological processes including embryonic development, homeostatic tissue turnover, and stem cell function in regeneration and disease. Conventional lineage tracing involves the marking of cells either with dyes or nucleoside analogues or genetic marking with fluorescent and/or colorimetric protein reporters. Both are imaging-based approaches that have played a crucial role in the field of developmental biology as well as adult stem cell biology. However, imaging-based lineage tracing approaches are limited by their scalability and the lack of molecular information underlying fate transitions. Recently, computational biology approaches have been combined with diverse tracing methods to overcome these limitations and so provide high-order scalability and a wealth of molecular information. In this review, we will introduce such novel computational methods, starting from single-cell RNA sequencing-based lineage analysis to DNA barcoding or genetic scar analysis. These novel approaches are complementary to conventional imaging-based approaches and enable us to study the lineage relationships of numerous cell types during vertebrate, and in particular human, development and disease.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Computer Simulation
/
Cell Lineage
/
Imaging, Three-Dimensional
Limits:
Animals
/
Humans
Language:
En
Journal:
Mol Cells
Journal subject:
BIOLOGIA MOLECULAR
Year:
2019
Document type:
Article
Affiliation country:
Austria