tailieunhanh - Báo cáo y học: "My 2,000 best films: parallel phenotyping of Dictyostelium development"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: My 2,000 best films: parallel phenotyping of Dictyostelium development. | Minireview My 2 000 best films parallel phenotyping of Dictyostelium development Gareth Bloomfield 4 and Robert R Kay Addresses MRC Laboratory of Molecular Biology Hills Road Cambridge CB2 OQH UK. The Wellcome Trust Sanger Institute Hinxton CB10 1SA UK. Correspondence Robert R Kay. Email rrk@ Published 23 July 2007 Genome Biology 2007 8 220 doi gb-2007-8-7-220 The electronic version of this article is the complete one and can be found online at http 2007 8 7 220 2007 BioMed Central Ltd Abstract A new study has used parallel filming to record the development of 2 000 Dictyostelium mutants and clustered them into related groups using morphological staging and wavelet analysis of aggregation patterns. Genetic screens have driven progress in molecular biology from its earliest days. Think of the fine structure of the gene as studied in phage T4 1 the delineation of cell-cycle genes in yeast 2 and the identification of genes underlying development in Drosophila 3 . Such screens always require ingenuity of inception but especially in metazoa they also require skill and patience to carry out. Screens for mutants in the fly eye have revealed many important aspects of growth factor signaling but they required a breeding program to produce randomly mutated individuals and then skilled microscopic observation of the compound eyes to identify aberrant patterns of differentiation. It is therefore not surprising that it has been difficult to increase the productivity of such screens to match that of genome sequencing and other genomic methods. This situation is slowly changing. For instance RNA interference RNAi or directed gene deletion can replace traditional mutagenesis with the advantage that saturation of the genome is approached directly rather than asymptotically and the identity of the mutated genes is known from the outset. Coupled to this automated microscopy and image analysis allows enormous amounts of data to be accumulated