Yasushi Okazaki


Affiliation: Saitama Medical School
Country: Japan


  1. Tamaru S, Mizuno Y, Tochigi H, Kajihara T, Okazaki Y, Okagaki R, et al. MicroRNA-135b suppresses extravillous trophoblast-derived HTR-8/SVneo cell invasion by directly down regulating CXCL12 under low oxygen conditions. Biochem Biophys Res Commun. 2015;461:421-6 pubmed publisher
    ..Reporter assays showed that the 3'UTR sequence of CXCL12 was directly targeted by miR-135b. Our results suggest that miR-135b and CXCL12 play important roles in modulating the EVT invasion under low oxygen conditions. ..
  2. Kohda M, Kumamoto K, Eguchi H, Hirata T, Tada Y, Tanakaya K, et al. Rapid detection of germline mutations for hereditary gastrointestinal polyposis/cancers using HaloPlex target enrichment and high-throughput sequencing technologies. Fam Cancer. 2016;15:553-62 pubmed publisher
  3. Suzuki O, Eguchi H, Chika N, Sakimoto T, Ishibashi K, Kumamoto K, et al. Prevalence and clinicopathologic/molecular characteristics of mismatch repair-deficient colorectal cancer in the under-50-year-old Japanese population. Surg Today. 2017;47:1135-1146 pubmed publisher
    ..These results are of value in the clinical management of patients with the early onset CRC under circumstances where universal tumor screening approaches for LS are still not available, like in Japan. ..
  4. Imai Okazaki A, Kishita Y, Kohda M, Yatsuka Y, Hirata T, Mizuno Y, et al. Barth Syndrome: Different Approaches to Diagnosis. J Pediatr. 2018;193:256-260 pubmed publisher
    ..Here we report 3 cases of Barth syndrome with phenotypic and allelic heterogeneity that were diagnosed by different approaches, including whole exome sequencing and final confirmation by reverse-transcription polymease chain reaction. ..
  5. Huqun -, Fukuyama S, Morino H, Miyazawa H, Tanaka T, Suzuki T, et al. A quantitatively-modeled homozygosity mapping algorithm, qHomozygosityMapping, utilizing whole genome single nucleotide polymorphism genotyping data. BMC Bioinformatics. 2010;11 Suppl 7:S5 pubmed publisher
    ..Our procedure will accelerate the identification of disease-causing genes using high-density SNP array data. ..
  6. Mizuno Y, Kurochkin I, Herberth M, Okazaki Y, Schonbach C. Predicted mouse peroxisome-targeted proteins and their actual subcellular locations. BMC Bioinformatics. 2008;9 Suppl 12:S16 pubmed publisher
    ..Overall, PTS2-targeting predictions are unlikely to improve without generation and integration of new experimental data from location proteomics, protein structures and quantitative Pex7 PTS2 peptide binding assays. ..