| Project/Area Number |
21K09998
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 57050:Prosthodontics-related
|
|---|
| Research Institution | Niigata University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
加来 賢 新潟大学, 医歯学系, 准教授 (30547542)
魚島 勝美 新潟大学, 医歯学系, 教授 (50213400)
|
|---|
| Project Period (FY) |
2021-04-01 – 2024-03-31
|
| Project Status |
Granted (Fiscal Year 2022)
|
| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2022: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2021: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
|---|
| Keywords | trans-omics / extracellular matrix / bone phenotype / bone regeneration |
|---|
| Outline of Research at the Start |
1.Identification of the molecular cues that distinguish the bone type
2.Analysis of ECM protein profile that distinguish the bone type
3.Integration of the trans-omics data and construction of the molecular network
4.Animal experiment, induction of trabecular bone towards cortical bone.
|
| Outline of Annual Research Achievements |
In this study, a bioinformatic methodology employing trans-omics analysis and the Matrisome database is being employed to investigate the differences in extracellular matrix composition and the associated regulatory networks between cortical and trabecular bone.
During this period, FASTQ files analysis workflow was stablished and Gene Read Counts trials were performed. RNA sequencing environment for Weighted gene co-expression network analysis setting was completed to identify modules or groups of genes that exhibit similar expression patterns across different samples. This method assigns weights to gene-gene connections based on the strength of their co-expression relationships, allowing the identification of highly interconnected gene modules and the functional relationships and regulatory mechanisms underlying biological processes by identifying key genes within modules and elucidating their potential roles in specific biological pathways or diseases.
DESeq2/Limma for fold change and gene list environment was set for Pathway analysis to perform enrichment analysis and visualize the results, to gain insights into the bone biological systems and to identify potential targets for therapeutic intervention.
|
| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Progressing Rather Smoothly
|
| Strategy for Future Research Activity |
Mouse samples of Cortical and trabecular bone will be isolated, Mass Spectrometry will be performed, data will be annotated with the UniProt database. All identified proteins will be further curated by the Matrisome database.
Pathway analysis/Enrichment analysis, GO termas and KEGG pathway will be performed to gain insights into the underlying biological processes and interactions among genes or proteins within bone biological system. A systematic examination of gene expression, protein-protein interaction data will be performed to identify and interpret the enrichment of genes or proteins in specific biological pathways or functional categories. This analysis will provide a comprehensive view of the molecular mechanisms and signaling pathways involved bone differentiation and may help us to identify key pathways and molecules that play crucial roles in these complex biological phenomena and facilitating the development of targeted therapies and interventions.
|
