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Biomedical subjects

Yoichiro Nakatani

Publications and source records attributed to Yoichiro Nakatani.

3 recordsLinked to original sources

Clinicopathological and genetic analysis of primary intraosseous carcinoma not otherwise specified (PIOC NOS).

BACKGROUND: Primary intraosseous carcinoma not otherwise specified (PIOC NOS) is an extremely rare jawbone cancer, accounting for approximately 1-2% of all oral cancers. Considering its rarity, no established standard treatment exists for postoperative recurrence or metastasis. This study aimed to analyse the clinical manifestations of this disease and identify novel genomic abnormalities to aid identification of potential treatment strategies. METHODS: We examined the clinical information of 14 PIOC NOS cases treated at our institution in recent years and compared it with previous reports. Genomic analysis was conducted on seven formalin-fixed paraffin-embedded surgical specimens, assessing 523 DNA and 55 RNA cancer-related genes using next-generation sequencing. RESULTS: Our findings, along with previous literature, revealed the posterior mandible as the primary site in most cases, though this was rarely identified at the time of initial diagnosis. Recurrence within two years of surgery was common. Hotspot mutations in PIK3CA were observed in 60% of cases. Additionally, one patient had high TMB status. CONCLUSIONS: Given the challenges in diagnosis and the potential for rapid recurrence or metastasis, early detection is crucial. Comprehensive genomic profiling is highly desirable, as genomic analysis may direct the development of targeted therapeutic agents to treat relapse.

Humans↗

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↗

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↗