2014 Fiscal Year Research-status Report
Comprehensive analysis and biomarker identification of osteoarthritis
| Project/Area Number |
26870851
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| Research Institution | The Institute of Physical and Chemical Research |
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Principal Investigator |
LEE MINGTA 独立行政法人理化学研究所, 統合生命 医科学研究センター, チームリーダー (70644483)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Keywords | Osteoarthritis / methylation / epigenetics |
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| Outline of Annual Research Achievements |
Whole Genome methylation profiling has been completed on 12 patients with 96 data points generated. Preliminary data analysis has been completed to identify genes with methylation changes between the disease and normal stage. Pathway analysis of the genes was also carried to identify important pathways for the disease progression. Several genes and pathways were identified from the preliminary analysis. Data suggests that developmental pathway plays an important role in the pathogenesis of the disease. Two abstracts resulted from this work has been presented at the recent Osteoarthritis Research Society International Annual meeting in Seattle, USA. Two manuscripts are now currently under preparation.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The initial Aims in the first year was to gather sufficient patient samples ,generate data with quality sufficient for publication to identify important novel genes and pathways associated with the disease. We have now achieve the all the aims described. We have now generated data showing important novel pathways which we hope will help us to understand the disease better. Our work has been presented in one of the biggest international OA conference and we are now preparing two manuscripts for publication. Thus, we are on track with what we initially set out to achieve.
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| Strategy for Future Research Activity |
For for the next year, we will complete a more comprehensive analysis of the data generated. So far, we have only analyze data within the separate tissues (data analysis on cartilage and subchondral bone separately). WE will analyze the data from the two layers together and try to understand the interaction between the two layers. In addition, we will plan to perform Chip-Seq to look at histone modification, another important epigenetics events. We will also start functional analysis on the genes identified, trying to understand how these gene could cause OA. We will also explore whether any of the genes identified could be used OA biomarkers.
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