Zhou X, Liu KY, Bradley P, Perrimon N, Wong STC.
Towards automated cellular image segmentation for RNAi genome-wide screening. In: Med Image Comput Comput Assist Interv. 2005. p. 885-92.
AbstractThe Rho family of small GTPases is essential for morphological changes during normal cell development and migration, as well as during disease states such as cancer. Our goal is to identify novel effectors of Rho proteins using a cell-based assay for Rho activity to perform genome-wide functional screens using double stranded RNA (dsRNAs) interference. We aim to discover genes could cause the cell phenotype changed dramatically. Biologists currently attempt to perform the genome-wide RNAi screening to identify various image phenotypes. RNAi genome-wide screening, however, could easily generate more than a million of images per study, manual analysis is thus prohibitive. Image analysis becomes a bottleneck in realizing high content imaging screens. We propose a two-step segmentation approach to solve this problem. First, we determine the center of a cell using the information in the DNA-channel by segmenting the DNA nuclei and the dissimilarity function is employed to attenuate the over-segmentation problem, then we estimate a rough boundary for each cell using a polygon. Second, we apply fuzzy c-means based multi-threshold segmentation and sharpening technology; for isolation of touching spots, marker-controlled watershed is employed to remove touching cells. Furthermore, Voronoi diagrams are employed to correct the segmentation errors caused by overlapping cells. Image features are extracted for each cell. K-nearest neighbor classifier (KNN) is employed to perform cell phenotype classification. Experimental results indicate that the proposed approach can be used to identify cell phenotypes of RNAi genome-wide screens.
2005_CSPH-SQB_Zhou.pdf Dasgupta R, Boutros M, Perrimon N.
Drosophila Wnt/Fz pathways. Sci STKE. 2005;2005 (283) :cm5.
AbstractWnts [also known as Wingless (Wg)] are a family of conserved signaling molecules involved in a plethora of fundamental developmental and cell biological processes, such as cell proliferation, differentiation, and cell polarity. Dysregulation of the pathway can be detrimental, because several components are tumorigenic when mutated and are associated with hepatic, colorectal, breast, and skin cancers. First identified in the fruit fly Drosophila melanogaster as a gene family responsible for patterning the embryonic epidermis, the Wnt gene family, including Wg, encode secreted glycoproteins that activate receptor-mediated signaling pathways leading to numerous transcriptional and cellular responses. The main function of the canonical Wg pathway is to stabilize the cytoplasmic pool of a key mediator, beta-catenin [beta-catenin, known as Armadillo (Arm) in fruit flies], which is otherwise degraded by the proteasome pathway. Initially identified as a key player in stabilizing cell-cell adherens junctions, Arm is now known to also act as a transcription factor by forming a complex with the lymphoid enhancer factor (LEF)/T cell-specific transcription factor (TCF) family of high mobility group (HMG)-box transcription factors. Upon Wnt/Wg stimulation, stabilized Arm translocates to the nucleus, where, together with LEF/TCF transcription factors, it activates downstream target genes that regulate numerous cell biological processes.
2005_Sci Signal_Dasgupta.pdf Häcker U, Nybakken K, Perrimon N.
Heparan sulphate proteoglycans: the sweet side of development. Nat Rev Mol Cell Biol. 2005;6 (7) :530-41.
AbstractPattern formation during development is controlled to a great extent by a small number of conserved signal transduction pathways that are activated by extracellular ligands such as Hedgehog, Wingless or Decapentaplegic. Genetic experiments have identified heparan sulphate proteoglycans (HSPGs) as important regulators of the tissue distribution of these extracellular signalling molecules. Several recent reports provide important new insights into the mechanisms by which HSPGs function during development.
2005_NRMCB_Hacker.pdf