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About Mission and Outline Background Activities For Community Message from Executive Director Toward the Development of Personalized Healthcare through the Promotion of Industry-Academia Collaboration Organization and Members Department of Community Medical Supports Department of Preventive Medicine and Epidemiology Department of Biobank Department of Integrative Genomics Department of Health Record Informatics Department of Education and Training Department of Public Relations and Planning General Affairs and Planning Sector Cohort Studies Sector Integrated Biobank Sector Integrated Omics Sector Group of Planning Group of Public Relations Group of Education and Training Group of Return of Genomic Results Center for Promotion of Cohort Studies Center for Health Survey Promotion Group of Brain Imaging and Research Group of Biobank Center for Biobank Utilization and Academia-Industry Partnership Group of Integrated Database Systems Group of Information Management for Genome-Cohort Study Group of Privacy Controls Group of Sequencing Group of Microarray-based Genotyping Group of Metabolomics Group of Metagenomics and Microbiome Group of Omics Data Analysis Center for Genome-Wide Association Study Office of Nihonbashi Branch Operation Center for Genome Platform Projects Policy Site Policy Social Media Policy Research Cohort Study and Biobank Community-Based Cohort Study (TMM CommCohort Study) Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study) Integrative Genomics Publications Facilities and Equipment Researchers Specimen and Data Collection Ethical Issues ToMMo's Library News Timeline sitemap links access & contact JAPANESE Large Small A A Top NewsA visual database of human plasma compounds [Press Release] News Timeline all News Events Research Monthly archives 2024, April 2024, February 2024, January 2023, November 2023, October 2023, September 2023, August 2023, July 2023, June 2023, May 2023, April 2023, March 2023, January 2022, December 2022, November 2022, October 2022, September 2022, July 2022, May 2022, April 2022, January 2021, December 2021, November 2021, September 2021, August 2021, July 2021, June 2021, March 2021, January 2020, November 2020, October 2020, September 2020, August 2020, July 2020, June 2020, April 2020, March 2020, February 2020, January 2019, December 2019, November 2019, September 2019, August 2019, July 2019, May 2019, April 2019, March 2019, February 2019, January 2018, December 2018, November 2018, October 2018, September 2018, August 2018, July 2018, June 2018, May 2018, March 2018, February 2018, January 2017, December 2017, November 2017, October 2017, September 2017, August 2017, July 2017, June 2017, May 2017, March 2017, February 2017, January 2016, December 2016, November 2016, October 2016, September 2016, August 2016, July 2016, June 2016, May 2016, April 2016, March 2016, February 2016, January 2015, December 2015, November 2015, October 2015, September 2015, August 2015, July 2015, June 2015, May 2015, April 2015, March 2015, February 2015, January 2014, November 2014, October 2014, August 2014, July 2014, April 2014, March 2014, February 2014, January 2013, November 2013, August 2013, July 2013, June 2013, May 2013, April 2013, February 2013, January 2012, December 2012, November 2012, October 2012, September 2012, April 2012, March 2012, February A visual database of human plasma compounds [Press Release] News: 2017/12/22 A free database aims to help researchers better understand how specific metabolites relate to one another, which could potentially lead to personalised disease treatments. Researchers in Japan have created a database of metabolites from blood samples collected from over 5,000 Japanese volunteers, making it freely available online as a valuable resource for researchers around the world. Metabolites and proteins control many of the processes inside our bodies, and also inform the interaction between our cells and their surroundings. Understanding these compounds and how they relate to each other more, could help researchers to evaluate the health state of people and develop new personalised treatments for various diseases. The database, which bioinformatics scientist Shu Tadaka from Tohoku University and his colleagues called jMorp, contains information about 306 metabolites and 256 common proteins found in humans. This includes their frequency, concentration, and how often they appeared in males or females and at what age. The database is unique in that, instead of just displaying raw data, it offers visitors a chance to see how the different metabolites correlate to each other graphically, paving the way for further studies to identify how these metabolites and proteins relate to each other. The database is able to map the correlation of the different metabolites, offering visitors further research opportunities.   “The information in jMorp is obtained from statistical data created by aggregating individual data,” says Tadaka. “An independent committee has carefully considered all ethical issues before allowing us access to this data.” Similar databases cover other countries or regions, such as the United Kingdom and the Republic of Ireland, but some have limitations due to inconsistent data collection or small sample size. The large number of healthy individuals who contributed samples to jMorp makes it particularly useful. The researchers also collected and analysed data using the same method and at the same institute, which minimizes measurement errors. In addition, they took extra measures to exclude any low-quality samples and to ensure quality control throughout the processes of collecting, storing and analysing the plasma samples. These make jMorp especially reliable as a resource for scientists, especially biochemists and medical researchers. To make it relevant and useful to other researchers, the Japanese team have setup jMorp in a user-friendly format that allows visitors to reach the data they need easily, as well as pull up comparisons and relationships between different compounds displayed visually. Users can search for the type of compound they are looking for either by name or specifications. The summary of the data can be downloaded and correlation graphs can be saved as image files. The database is an ongoing effort and the researchers produce updated annual versions as they collect and analyse more samples. They also plan to offer more insight about the metabolites and proteins they document by applying new methods of analysis. Article Title: jMorp: Japanese Multi Omics Reference Panel Authors: Shu Tadaka, Daisuke Saigusa, Ikuko N. Motoike, Jin Inoue, Yuichi Aoki, Matsuyuki Shirota, Seizo Koshiba, Masayuki Yamamoto, Kengo Kinoshita Published journal: Nucleic Acids Research DOI: https://doi.org/10.1093/nar/gkx978 Related Link New expanded version of Japanese Multi Omics Reference Panel "jMorp": 5,093 people Metabolome data are now available online Genetic Diversity of Enzymes Alters Metabolic Individuality [Press Release] Japanese Multi Omics Reference Panel "jMorp" News Timeline Tweet About Mission and Outline Background Activities For Community Message from Executive Director Organization and Members Policy Research Cohort Study and Biobank Integrative Genomics Publications Facilities and Equipment Researchers Ethical Issues Specimen &＃038; Data Collection ToMMo's Library News Timeline access & contact sitemap links JAPANESE Large Small A A Copyright(C) Tohoku University Tohoku Medical Megabank Organization All Rights Reserved. sitemap access & contact About Research Ethical Issues Specimen &＃038; Data Collection ToMMo's Library News Timeline access & contact sitemap links Japanese