Projects
BioProject Information
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Project Title
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Identification and validation of personalized gastric cancer biomarkers with disabled drug response induced by copy number variations, gene expression alterations, and fusion genes elucidated by genome and transcriptome sequencing |
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Project Description
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u25a1 Based on the previously secured Korean gastric cancer genomic and transcriptional data and newly tested gastric cancer tissue genomic and transcriptional data, Korean specific gastric cancer biomarker candidates are selected through integrated system biology and bioinformation analysis. u25cb Establish a database for single nucleotide polymorphism, replication water mutation, gene fusion, and gene expression by organizing Korean gastric cancer genomes and transcriptional data. u25cb Using biological informatics and system biology techniques, Korean specific gastric cancer biomarkers are selected. u25cb Using various open-source databases, information on the possibility of carcinogenesis for genes that have undergone replication, gene fusion, and overexpression is summarized. u25a1Invitro/in vivo verification of Korean specific gastric cancer biomarker candidates u25cbTumor production performance and metastatic ability of gastric cancer biomarker candidate genes are verified in cell lines u25cbVerification of tumor production and metastatic ability of gastric cancer biomarker candidate genes in animal models u25a1 Discovering personalized gastric cancer treatment biomarkers through drug responsiveness (sensitivity/side effects) investigation of Korean specific gastric cancer biomarkers candidates u25cb The cell line investigates the sensitivity and side effects of anticancer drugs in gastric cancer biomarker candidate genes. u25cbDiscovered gastric cancer biomarkers for personalized treatment through drug reactivity experiments and integrated analysis of information collected from open source databases.
u25a1 Based on the previously secured Korean gastric cancer genomic and transcriptional data and newly tested gastric cancer tissue genomic and transcriptional data, Korean specific gastric cancer biomarker candidates are selected through integrated system...
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Name Of Submitters Organization
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Seoul National University Research and development business foundation |
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Major Grant NTIS ID
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- |
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DataType
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WGS, RNA-seq |
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Data Count
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202 |
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Organism
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Homo sapiens |
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NCBI Taxonomy ID
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9606 |
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Submission date
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2025-12-16 |
Accession Data
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BioSample
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All BioSample [44] |
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KRA
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All KRA [44] |
Oncoplot
Mutation Signature
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