Biomedical subjects

Taro L Saito

Publications and source records attributed to Taro L Saito.

4 recordsLinked to original sources

PubMed2006

Evaluation of image processing programs for accurate measurement of budding and fission yeast morphology.

To study the cellular functions of gene products, various yeast morphological mutants have been investigated. To describe yeast morphology objectively, we have developed image processing programs for budding and fission yeast. The programs, named CalMorph for budding yeast and F-CalMorph for fission yeast, directly process microscopic images and generate quantitative data about yeast cell shape, nuclear shape and location, and actin distribution. Using CalMorph, we can easily and quickly obtain various quantitative data reproducibly. To study the utility and reliability of CalMorph, we evaluated its data in three ways: (1) The programs extracted three-dimensional bud information from two-dimensional digital images with a low error rate (<1%). (2) The absolute values of the diameters of manufactured fluorescent beads calculated with CalMorph were very close to those given in the manufacturer's data sheet. (3) The programs generated reproducible data consistent with that obtained by hand. Based on these results, we determined that CalMorph could monitor yeast morphological changes accompanied by the progression of the cell cycle. We discuss the potential of the CalMorph series as a novel tool for the analysis of yeast cell morphology.

Cell Division↗

PubMed2005

High-dimensional and large-scale phenotyping of yeast mutants.

One of the most powerful techniques for attributing functions to genes in uni- and multicellular organisms is comprehensive analysis of mutant traits. In this study, systematic and quantitative analyses of mutant traits are achieved in the budding yeast Saccharomyces cerevisiae by investigating morphological phenotypes. Analysis of fluorescent microscopic images of triple-stained cells makes it possible to treat morphological variations as quantitative traits. Deletion of nearly half of the yeast genes not essential for growth affects these morphological traits. Similar morphological phenotypes are caused by deletions of functionally related genes, enabling a functional assignment of a locus to a specific cellular pathway. The high-dimensional phenotypic analysis of defined yeast mutant strains provides another step toward attributing gene function to all of the genes in the yeast genome.

Actins↗

PubMed2005

Data mining tools for the Saccharomyces cerevisiae morphological database.

For comprehensive understanding of precise morphological changes resulting from loss-of-function mutagenesis, a large collection of 1,899,247 cell images was assembled from 91,71 micrographs of 4782 budding yeast disruptants of non-lethal genes. All the cell images were processed computationally to measure approximately 500 morphological parameters in individual mutants. We have recently made this morphological quantitative data available to the public through the Saccharomyces cerevisiae Morphological Database (SCMD). Inspecting the significance of morphological discrepancies between the wild type and the mutants is expected to provide clues to uncover genes that are relevant to the biological processes producing a particular morphology. To facilitate such intensive data mining, a suite of new software tools for visualizing parameter value distributions was developed to present mutants with significant changes in easily understandable forms. In addition, for a given group of mutants associated with a particular function, the system automatically identifies a combination of multiple morphological parameters that discriminates a mutant group from others significantly, thereby characterizing the function effectively. These data mining functions are available through the World Wide Web at http://scmd.gi.k.u-tokyo.ac.jp/.

Computer Graphics↗

PubMed2004

SCMD: Saccharomyces cerevisiae Morphological Database.

To study the global regulation of cell morphology, a number of groups have recently reported genome-wide screening data for yeast mutants with abnormal morphology. Despite the relatively simple ellipsoidal shape of yeast cells, in the past, cell morphology researchers have processed information on cells manually. These time-consuming, entirely subjective tasks motivated us to develop image-processing software that automatically extracts yeast cells from micrographs and processes them to measure key morphological characteristics such as cell size, roundness, bud neck position angle, nuclear DNA localization and actin localization. To date, we have retrieved 960,609 cells from 52,988 micrographs of 2531 mutants using our software, and we have published the results in the Saccharomyces cerevisiae Morphological Database (SCMD), which facilitates the analysis of abnormal cells. Our system provides quantitative data for shapes of the daughter and mother cells, localization of the nuclear DNA and morphology of the actin patches. To search for mutants with similar morphological traits, the system outputs a list of mutants ranked by similarity of average morphological parameters. The SCMD is available at http://yeast. gi.k.u-tokyo.ac.jp/.

Cell Cycle↗