Projects
BioProject Information
|
Project Title
|
Identification and validation of cell type specific epigenetic markers |
|---|---|
|
Project Description
|
Research Purpose 1. In this analysis, we propose to examine stem cell and neuron-specific referenced lncRNA resources. 2. Using biological network analysis, we aim to develop a network system for searching lncRNA genome biological characteristics and their functions. 3. Relating to therapeutic approaches, we aim to finalize to 3 lncRNA targets that show linkage to therapeutic stem cells. 4. Combining with lncRNA target approach for treatment, we also plan to develop neurological diseases focused therapeutic approach with stem cell differentiation technology. 5. The final goal is to develop cancer diagnostic technology using the results acquired from the international cooperation and finalize licensing of cancer-specific epigenetic markers. Research Contents 1. Transcriptome and epigenetic data production of neuronal differentiated stage-specific of human-induced pluripotent stem cells (iPSCs) for targeted lncRNAs related to IPSCs and stem cell differentiation 2. Analysis of lncRNA mechanism related to neuronal differentiation in human induced pluripotent stem cells and validation of its neuronal differential ability in targeted knocked-down iPSCs lncRNA. Analysis of transcriptome profiling and epigenetic mutations related to the targeted knocked-down iPSCs. 3. Development of a bioinformatic pipeline for lncRNA functional analysis and an algorithm for discovery of neuronal differentiation targeted lncRNAs 4. Development of stem cell differentiation technology for gene therapy targeting lncRNA and studies on the differentiated iPSCs and neuronal cell differentiation 5. Identification of HCC-specific transcriptomic and epigenetic markers and their related biological pathways can contribute to mutational burden and carcinogenesis. The biological network and clinical data analysis identify diagnostic, prognostic markers, and therapeutic targets. Analysis of DMR related gene network and identification of markers that can predict cancer patient prognosis, cancer molecular subtype diagnosis, and treatment target selection through comparative clinical information and DMR gene network. 6. Integrative analysis and result validation of liver cancer genome and epigenome using genomic mutation and epigenomic data obtained from liver cancer patients and identifying biological mechanisms underlying the targeted genomic regions. 7. Responsible for general task organization of the Post-Genome Project, cooperation under the Ministry of Science Expected possibilities 1. Expected possibility to develop a technology that can construct stem cell differentiation stages with the iPSCs differentiation targeted lncRNA discovery 2. Possibility of deriving various technology and lncRNA subjected databases through the access of the international consortium and expected to contribute to revealing development mechanisms of stem cell differentiation further 3. In the 2nd stage of the project, with the study progress of cancer diagnostic technology through epigenome and genome integrated analysis, more than two papers and international patent applications will be registered 4. In the 2nd stage of business model establishment, verification of the sensitivity and accuracy of the discovered biomarker will be validated and completion of analysis of the genomic biomarker identification in cancer patients. Based on the analyzed results, the establishment of diagnostic marker application technology service and technology transfer will be confirmed.
Research Purpose 1. In this analysis, we propose to examine stem cell and neuron-specific referenced lncRNA resources. u00a02. Using biological network analysis, we aim to develop a network system for searching lncRNA genome biological characteristics and th...
|
|
Name Of Submitters Organization
|
Yonsei University |
|
Major Grant NTIS ID
|
2016M3C9A4921712 NTIS |
|
DataType
|
RNA-seq |
|
Data Count
|
618 |
|
Organism
|
Homo sapiens |
|
NCBI Taxonomy ID
|
9606 |
|
Submission date
|
2025-12-16 |
Accession Data
|
BioSample
|
All BioSample [524] |
|---|---|
|
KRA
|
All KRA [587] |
