Research Areas
Biography and Research Information
OverviewAI-generated summary
Ikjae Shin's research focuses on developing and applying advanced molecular and genomic techniques to enhance precision medicine and drug development. His work involves microdissection methods, single-cell subtype analysis, and the integration of genomics and proteomics to analyze complex biological samples, particularly from rare tumor types. Shin has investigated the impact of antigen retrieval on genomic DNA from immunodissected samples and developed novel approaches for accuracy and reproducibility in genomic data science, such as NPARS.
His recent publications highlight advancements in proteogenomic analysis of histological sections for drug development and the application of reproducible genomic data science methods to rare tumor analysis. Shin collaborates with researchers at the University of Arkansas for Medical Sciences, including Donald J. Johann, Matthew A. Steliga, and Jason Muesse, with whom he has co-authored multiple publications. His work aims to improve the precision and efficiency of molecular diagnostics and therapeutic strategies.
Metrics
- h-index: 8
- Publications: 18
- Citations: 310
Selected Publications
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A Microdissection Protocol for Proteogenomic Analysis of Histological Sections to Advance Drug Development (2024)
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Advancing drug development by leveraging microdissection for proteogenomic analysis of histological sections. (2024)
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Liquid biopsy based on circulating tumor DNA for lung cancer: A step toward prevention (2023)
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An advanced molecular medicine case report of a rare human tumor using genomics, pathomics, and radiomics (2023)
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Effect of Antigen Retrieval on Genomic DNA From Immunodissected Samples (2022)
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Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type (2022)
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Microdissection Methods Utilizing Single-Cell Subtype Analysis and the Impact on Precision Medicine (2022)
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NPARS—A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science (2021)
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Synergizing microdissection with ddPCR to advance precision oncology. (2021)
Grants & Funding
- Scientific and methodological advancement in liquid biopsies to further the development of lung cancer-based precision medicine (Bio 3) U.S. Food and Drug Administration - Pass Through: Arkansas Research Alliance Co-Investigator
Collaboration Network
Top Collaborators
- Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Advancing drug development by leveraging microdissection for proteogenomic analysis of histological sections.
- Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Advancing drug development by leveraging microdissection for proteogenomic analysis of histological sections.
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Advancing drug development by leveraging microdissection for proteogenomic analysis of histological sections.
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection
- Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type
- Abstract 5038: Applying reproducible genomic data science methods for the analysis of a rare tumor type
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