Literature DB >> 33671785

CellMAPtracer: A User-Friendly Tracking Tool for Long-Term Migratory and Proliferating Cells Associated with FUCCI Systems.

Salim Ghannoum1, Kamil Antos2, Waldir Leoncio Netto3, Cecil Gomes4, Alvaro Köhn-Luque3, Hesso Farhan1,5.   

Abstract

Cell migration is a fundamental biological process of key importance in health and disease. Advances in imaging techniques have paved the way to monitor cell motility. An ever-growing collection of computational tools to track cells has improved our ability to analyze moving cells. One renowned goal in the field is to provide tools that track cell movement as comprehensively and automatically as possible. However, fully automated tracking over long intervals of time is challenged by dividing cells, thus calling for a combination of automated and supervised tracking. Furthermore, after the emergence of various experimental tools to monitor cell-cycle phases, it is of relevance to integrate the monitoring of cell-cycle phases and motility. We developed CellMAPtracer, a multiplatform tracking system that achieves that goal. It can be operated as a conventional, automated tracking tool of single cells in numerous imaging applications. However, CellMAPtracer also allows adjusting tracked cells in a semiautomated supervised fashion, thereby improving the accuracy and facilitating the long-term tracking of migratory and dividing cells. CellMAPtracer is available with a user-friendly graphical interface and does not require any coding or programming skills. CellMAPtracer is compatible with two- and three-color fluorescent ubiquitination-based cell-cycle indicator (FUCCI) systems and allows the user to accurately monitor various migration parameters throughout the cell cycle, thus having great potential to facilitate new discoveries in cell biology.

Entities:  

Keywords:  BT549; FUCCI; MATLAB; cell migration; cell tracking; doubling time; proliferation; retinal pigment epithelial cells (RPE); speed–directionality dynamics; time-lapse imaging

Year:  2021        PMID: 33671785     DOI: 10.3390/cells10020469

Source DB:  PubMed          Journal:  Cells        ISSN: 2073-4409            Impact factor:   6.600


  1 in total

1.  FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis.

Authors:  Hubert M Taïeb; Luca Bertinetti; Tom Robinson; Amaia Cipitria
Journal:  PLoS One       Date:  2022-07-06       Impact factor: 3.752

  1 in total

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