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High-throughput high-resolution image analysis of the trypanosome cell cycle

Trypanosomes cause devastating disease in animals and man. They have intriguing molecular and cellular biology. They transcribe their genes in a polycistronic manner in the absence of promoters in front of each gene. Cell type regulation of gene expression is therefore a predominantly post-transcriptional process. In addition their cell biology is dominated by their flagellum and the motility it directs. The genome of these parasites is sequenced and well annotated. The variety of system biology approaches are used to study both of these aspects of the trypanosome. I am working with biologists and mathematicians to understand cryptic regulatory sequences on the non-coding regions of the gene that control mRNA stability and processing.

Ultrastructure of the Trypanosome cell

Ultrastructure of the Trypanosome cell.







Image processing and analysis work-flow:

Phase contrast image of Trypanosome cell

Phase contrast.

DAPI image of Trypanosome cell

DNA (DAPI).

Segmented image of Trypanosome cell

Image of segmented Trypanosome cell body, nuclei and kinetoplast.



Collaborators:

  • Prof. Keith Gull, Sir William Dunn School of Pathology, University of Oxford, UK

  • Dr Vicente Grau, Oxford e-Research Centre, University of Oxford, UK

  • Prof. David Gavaghan, Oxford University Computing Laboratory, University of Oxford, UK

Publications:

  • B. Obara, M. Fricker, S. Kelly, B. Wickstead, V. Grau, K. Gull, and D. Gavaghan, Advanced computational image analysis in systems biology, in The 4th Annual BBSRC Systems Biology Grant Holders Workshop, Edinburgh, UK, 6-8 January 2010.

  • B. Obara, M. Fricker, S. Kelly, B. Wickstead, V. Grau, K. Gull, and D. Gavaghan, Bioimage informatics for systems biology, in Quantitative Imaging for Systems Biology, Oxford, UK, 16-18 December 2009.

  • B. Obara, S. Kelly, B. Wickstead, K. Gull, D. Gavaghan, and V. Grau, High-throughput high-resolution image analysis of the trypanosome cell cycle, in Microscopic Image Analysis with Applications in Biology, Bethesda, MD, USA, 3-4 September 2009.

  • B. Obara, S. Kelly, B. Wickstead, V. Grau, K. Gull, and D. Gavaghan, Image analysis and processing for systems biology, in Interdisciplinary Research Forum on Integrated Quantitative BioSciences, Oxford, UK, 26 June 2009.