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Let's get fISSical: fast in silico synchronization as a new tool for cell division cycle analysis.

Authors
  • Morriswood, Brooke1
  • Engstler, Markus1
  • 1 Department of Cell & Developmental Biology,University of Würzburg,Biocentre, Am Hubland, 97074 Würzburg,Germany. , (Germany)
Type
Published Article
Journal
Parasitology
Publication Date
Feb 01, 2018
Volume
145
Issue
2
Pages
196–209
Identifiers
DOI: 10.1017/S0031182017000038
PMID: 28166845
Source
Medline
Keywords
License
Unknown

Abstract

Cell cycle progression is a question of fundamental biological interest. The coordinated duplication and segregation of all cellular structures and organelles is however an extremely complex process, and one which remains only partially understood even in the most intensively researched model organisms. Trypanosomes are in an unusual position in this respect - they are both outstanding model systems for fundamental questions in eukaryotic cell biology, and pathogens that are the causative agents of three of the neglected tropical diseases. As a failure to successfully complete cell division will be deleterious or lethal, analysis of the cell division cycle is of relevance both to basic biology and drug design efforts. Cell division cycle analysis is however experimentally challenging, as the analysis of phenotypes associated with it remains hypothesis-driven and therefore biased. Current methods of analysis are extremely labour-intensive, and cell synchronization remains difficult and unreliable. Consequently, there exists a need - both in basic and applied trypanosome biology - for a global, unbiased, standardized and high-throughput analysis of cell division cycle progression. In this review, the requirements - both practical and computational - for such a system are considered and compared with existing techniques for cell cycle analysis.

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