RIKEN Preventive Medicine & Diagnosis Innovation Program (PMI)
The Preventive Medicine & Diagnosis Innovation Program deploys a broad range of research resources in physics, chemistry, engineering, biology and medical science to develop and establish more efficient disease detection technology that allows better disease prevention. Research groups taking part in the program are working on the discovery of new biomarkers, the development of detection technology for clinical practice, and the development of diagnosis kits. The program promotes collaborations within RIKEN and with universities, research institutes and hospitals both inside and outside Japan.
Main Research Fields
Related Research Fields
- Medicine, Dentistry & Pharmacy
- Large-scale gene analysis
- Gene expression analysis
- The development of nucleic acid measuring methods
- Medical applications
- Transcriptional regulation network
- 1.Kawai J., et al.:
"Functional annotation of a full-length mouse cDNA collection"
Nature 409, 685-690 (2001)
- 2.Okazaki Y, et al.:
"Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs"
Nature 420, 563-73 (2002)
- 3.Carninci P, et al.:
"The transcriptional landscape of the mammalian genome"
Science 309, 1559-1563 (2005)
- 4.Suzuki H, et al.:
"The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line"
Nature Genetics, 41, 553-62 (2009)
- 5.Ravasi T, et al.:
"An atlas of combinatorial transcriptional regulation in mouse and man"
Cell 140, 744-752 (2010)
- 6.Forrest AR, et al.:
"A promoter-level mammalian expression atlas"
Nature 507, 462-470 (2014)
- 7.Andersson R, et al.:
"An atlas of active enhancers across human cell types and tissues"
Nature 507, 455-461 (2014)
- 8.Arner E., et al.:
"Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells"
Science 347, 1010-1014 (2015)
- 9.Hon, CC. et.al.:
"An atlas of human long non-coding RNAs with accurate 5' ends"
Nature 543, 199-204, (2017).
- 10.Yoshida, E et.al.:
"Promoter-level transcriptome in primary lesions of endometrial cancer identified biomarkers associated with lymph node metastasis"
Sci Rep 7, 14160, (2017).
- Nucleic Acid Diagnostic System Development Unit (IMS)
- Kengo Usui (Ph.D.)
- Preventive Medicine and Applied Genomics Unit (IMS)
- Hideya Kawaji (Ph.D.)
Recent Research Results
Mar. 27, 2014
FANTOM5 releases atlas of human gene expression
Mar. 10, 2014
A new bioinformatics tool to visualize transcriptomes
Nov. 8, 2013
Mapping mechanisms to medications
2F Main Research Building,