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        일본에서 국가 커리큘럼 재건 및 학제 간 학습의 개발

        Hiroyuki Kuno 한국사회과수업학회 2017 사회과수업연구 Vol.5 No.1

        Around a decade has passed since the 2008 revision to the Course of Study (national curriculum of Japan) for Japanese school education, and the time for updating the Course of Study is approaching again. This article aims to describe basic structures and characteristics of the new national curriculum of Japan, which is summed up in 2017, from perspective of promoting more interdisciplinary learning. The “Summary of Issues (Ronten Seiri)” in 2015 argued a crucial theme of the curriculum reform is “visualization of the overall structure and structuring” of the curriculum and each subject functions as part of an organic structure. In this article points out two methods for linking individual subjects and integrated learning. One is “linking by content” in that content is selected where overlapped between integrated learning and the individual subject, and the other one is “perspective approach” that is unique to each subject and is developed in accordance with the characteristics of each subject is used to make the link. In the conclusion the author summarize that the new national curriculum in Japan targets competency-oriented learning model to reframe school education at all stages from early childhood to secondary education.

      • Discovery of Serological Glycobiomarker Candidates for Liver Disease Progression using Glycoproteomics Technology

        Hiroyuki Kaji,Akira Togayachi,Makoto Ochou,Maki Sogabe,Takashi Okura,Hirofumi Nozaki,Takashi Angata,Yasunori Chiba,Hidenori Ozaki,Atsushi Kuno,Yasuhito Tanaka,Yuzuru Ikehara,Masashi Mizokami,Hisashi N 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1

        We present here a high-throughput strategy to discover serological biomarkers for early-detection of hepatocellular carcinoma (HCC). Our strategy is also applicable to assess the progressed liver fibrosis that is associated with virus hepatitis. The glycan structure on glycoproteins derived from cancerous cells is known to be different from that derived from normal cells, specifically, the increased aberrant glycosylation appears in patient serum with virus hepatitis along with either or both the initiation and progression. Based on the above perceptions, in order to identify glycoproteins carrying aberrant glycosylation in serum of liver disease patients, we analyzed lectin-captured glycopeptides by the IGOT method. Many glycoproteins carrying altered glycans were successfully identified. The increased amount of these glycoproteins was clinically relevant to the progression of the liver diseases. We are now selecting appropriate molecules depending on the feasibility to detect an abnormality in the liver, such as the occurrence of liver cell neoplasm.

      • Identification of glyco-biomarker candidates for lung cancer using novel glyco-technologies

        Yoshitoshi Hirao,Hideki Matsuzaki,Jun Iwaki,Minako Abe,Akira Togayachi,Atsushi Kuno,Takashi Ohkura,Hiroyuki Kaji,Masaharu Nomura,Masayuki Noguchi,Yuzuru Ikehara,Hisashi Narimatsu 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1

        Lung cancer is the leading cause of cancer death worldwide. Currently, lung cancer is classified into two major types, small-cell lung cancer carcinoma (SCLC) and non-small-cell lung carcinoma (NSCLC), based on the histological appearance. The histological classification has important implications in the clinical practice guideline and the prediction of the patient prognosis. However, conventional serum markers used in clinical tests are insufficient for clinical demands due to the low sensitivity and the low specificity to distinguish them. We have identified a number of glyco-biomarker candidate molecules from lung cancer cell lines using our developed glycoproteomics technologies such as lectin microarray and LC/MS-based protein analysis. On the validation studies, we found out that the selected molecules showed characteristic lectin biding profiles depending on either SCLC or NSCLC. Therefore, combination of these glyco-biomarkers could be expected to improve the diagnostic accuracy for histological classification in lung cancer compared to protein expression alone.

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