The CellPhe toolkit for cell phenotyping using time-lapse imaging and pattern recognition.

With phenotypic heterogeneity in whole cell populations widely recognised, the demand for quantitative and temporal analysis approaches to characterise single cell morphology and dynamics has increased. We present CellPhe, a pattern recognition toolkit for the unbiased characterisation of cellular phenotypes within time-lapse videos. CellPhe imports tracking information from multiple segmentation and tracking algorithms to provide automated cell phenotyping from different imaging modalities, including fluorescence. To maximise data quality for downstream analysis, our toolkit includes automated recognition and removal of erroneous cell boundaries induced by inaccurate tracking and segmentation. We provide an extensive list of features extracted from individual cell time series, with custom feature selection to identify variables that provide greatest discrimination for the analysis in question. Using ensemble classification for accurate prediction of cellular phenotype and clustering algorithms for the characterisation of heterogeneous subsets, we validate and prove adaptability using different cell types and experimental conditions.

Corrupted devolution: How normal cells are reborn as cancer precursors.

Cancers are genetically divergent but intriguingly display similar patterns of epigenetic deregulation, including global DNA hypomethylation and hypermethylation of promoter CpG islands. Early developmental programmes mirror this cancer epigenome suggesting that reactivation of embryonic programmes is essential to the initiation of cancer. We propose a scenario where two waves of dedifferentiation underlie key cell transitions: the first from normal to cancer, and the second driving malignancy. The possibility that early developmental programmes underpin both normal development and the switch to cancer has huge therapeutic implications. The reignition of embryonic programmes and pluripotency networks in seemingly healthy tissues could provide unique cellular targets, to eliminate pre-cancerous or cancer promoting cells before they have the opportunity to form tumours. We conclude that focusing on epigenetic gatekeepers, and peri-implantation cellular identities, could transform the diagnosis and prevention of cancer, especially if these programmes crosscut many cancer types, solid and haematological.