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| [Hallmarks of aging] |
| At Professor Woo-Jin Kim's laboratory, we are dedicated to unraveling the complexities of aging, particularly within the musculoskeletal system. Our primary focus is on the epigenetic changes that accompany musculoskeletal aging. By exploring these modifications, we aim to understand the fundamental mechanisms that drive the aging process.
Our research delves into how macro-epigenetic changes—such as chromatin architecture—alter gene expression without changing the underlying DNA sequence. These changes can significantly impact the function and regeneration capacity of musculoskeletal tissues. By identifying and understanding these epigenetic alterations, we strive to develop innovative strategies for epigenetic recovery and rejuvenation. To explore the impact of large-scale epigenetic structural changes on aging, we utilize advanced epigenomic Next-Generation Sequencing (NGS) techniques, including Hi-C, ChIP-seq, and ATAC-seq. In addition, we employ multi-omics approaches, such as single-cell transcriptomics and spatial transcriptomics, to gain a comprehensive view of the transcriptional and epigenetic landscapes at both the cellular and tissue levels. Through a combination of these cutting-edge molecular biology techniques, genomic analyses, and collaborative interdisciplinary approaches, our team is working towards translating our findings into therapeutic interventions. Our ultimate goal is to contribute to healthier aging by restoring epigenetic patterns to their youthful states, thereby enhancing musculoskeletal function and reducing age-related degeneration. |
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DNA-seq (WGS, WXS, Target panel) We conduct research on various types of NGS-based DNA sequencing in our laboratory. DNA sequencing is fundamental to understanding genetic changes underlying various diseases and biological phenomena, enabling investigations into disease causation and biological factors. Currently, our laboratory focuses on studying aging using diverse mouse models and human models, with a particular emphasis on bone aging and cancer research. |
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RNA-seq (Single cell, Spatial Transcriptome, Multiome) We possess expertise in NGS-based bulk and single-cell RNA sequencing analysis. Our research involves employing machine learning and statistical approaches to analyze gene expression changes which ranging from the single-cell level to case-control design with macro approach. Through these analyses, we can extract biological insights into time-temporal signals and relative differences in cellular communications. In particular, we are also conducting research on Aging and Alzheimer's disease using the latest NGS technology with spatial transcriptomics. |
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Epigenome-seq (ATAC-seq, ChIP-seq, Hi-C) We are particularly interested in studying various types of epigenetic changes that regulate gene expression. By observing the diverse changes in the epigenome during cellular differentiation processes, we aim to interpret biological phenomena that cannot be explained solely by single NGS techniques. Recently, we have been planning to expand our research by incorporating single-cell level experiments, which will allow us to conduct studies that were previously focused on bulk approaches. |
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Data analysis & Methodology We integrate various statistical approaches and bioinformatics methodologies for multi-omics genomic analysis. Our research involves the application of diverse analytical methodologies, ranging from machine learning to artificial intelligence utilizing GPUs, to effectively interpret the latest NGS technologies and develop novel methodologies. |
![]() |
| [Hallmarks of aging] |
| At Professor Woo-Jin Kim's laboratory, we are dedicated to unraveling the complexities of aging, particularly within the musculoskeletal system. Our primary focus is on the epigenetic changes that accompany musculoskeletal aging. By exploring these modifications, we aim to understand the fundamental mechanisms that drive the aging process.
Our research delves into how macro-epigenetic changes—such as chromatin architecture—alter gene expression without changing the underlying DNA sequence. These changes can significantly impact the function and regeneration capacity of musculoskeletal tissues. By identifying and understanding these epigenetic alterations, we strive to develop innovative strategies for epigenetic recovery and rejuvenation. To explore the impact of large-scale epigenetic structural changes on aging, we utilize advanced epigenomic Next-Generation Sequencing (NGS) techniques, including Hi-C, ChIP-seq, and ATAC-seq. In addition, we employ multi-omics approaches, such as single-cell transcriptomics and spatial transcriptomics, to gain a comprehensive view of the transcriptional and epigenetic landscapes at both the cellular and tissue levels. Through a combination of these cutting-edge molecular biology techniques, genomic analyses, and collaborative interdisciplinary approaches, our team is working towards translating our findings into therapeutic interventions. Our ultimate goal is to contribute to healthier aging by restoring epigenetic patterns to their youthful states, thereby enhancing musculoskeletal function and reducing age-related degeneration. |
![]() |
DNA-seq (WGS, WXS, Target panel) We conduct research on various types of NGS-based DNA sequencing in our laboratory. DNA sequencing is fundamental to understanding genetic changes underlying various diseases and biological phenomena, enabling investigations into disease causation and biological factors. Currently, our laboratory focuses on studying aging using diverse mouse models and human models, with a particular emphasis on bone aging and cancer research. |
![]() |
RNA-seq (Single cell, Spatial Transcriptome, Multiome) We possess expertise in NGS-based bulk and single-cell RNA sequencing analysis. Our research involves employing machine learning and statistical approaches to analyze gene expression changes which ranging from the single-cell level to case-control design with macro approach. Through these analyses, we can extract biological insights into time-temporal signals and relative differences in cellular communications. In particular, we are also conducting research on Aging and Alzheimer's disease using the latest NGS technology with spatial transcriptomics. |
![]() |
Epigenome-seq (ATAC-seq, ChIP-seq, Hi-C) We are particularly interested in studying various types of epigenetic changes that regulate gene expression. By observing the diverse changes in the epigenome during cellular differentiation processes, we aim to interpret biological phenomena that cannot be explained solely by single NGS techniques. Recently, we have been planning to expand our research by incorporating single-cell level experiments, which will allow us to conduct studies that were previously focused on bulk approaches. |
![]() |
Data analysis & Methodology We integrate various statistical approaches and bioinformatics methodologies for multi-omics genomic analysis. Our research involves the application of diverse analytical methodologies, ranging from machine learning to artificial intelligence utilizing GPUs, to effectively interpret the latest NGS technologies and develop novel methodologies. |