Tae-Soo Kim
Ewha Womans University · 生化学・遺伝学・分子生物学
研究室紹介
Professor Tae-Soo Kim's research lab specializes in computational and systems biology, with a focus on understanding the molecular mechanisms underlying gene regulation, epigenetic modifications, and transcriptional dynamics. The lab investigates how epigenetic enzymes such as histone demethylases and deacetylases regulate transcriptional memory and stress responses in model organisms like budding yeast. Additionally, the lab explores the application of machine learning and deep learning techniques—particularly Temporal Convolutional Networks (TCNs)—to decode complex biological signals, including 3D human action recognition and gene expression patterns. The integration of computational modeling with experimental validation defines the lab’s interdisciplinary approach to systems biology and biomedical applications.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The discriminative power of modern deep learning models for 3D human action recognition is growing ever so potent. In conjunction with the recent resurgence of 3D human action representation with 3D skeletons, the quality and the pace of recent progress have been significant. However, the inner workings of state-of-the-art learning based methods in 3D human action recognition still remain mostly black-box. In this work, we propose to use a new class of models known as Temporal Convolutional Neur
Histone methylation is a reversible modification regulated by the antagonistic functions of residue-specific histone methyltransferases and demethylases. Although methylation of histone H3 at lysines 4 and 36 is linked to transcription, the roles of histone demethylases in transcription regulation are not understood. Here we show that overexpression of either Jhd1 or Rph1, two JmjC-domain proteins, bypasses the requirement for the positive elongation factor gene BUR1. Biochemical analysis and ch
BACKGROUND: The use of genome-wide RNA abundance profiling by microarrays and deep sequencing has spurred a revolution in our understanding of transcriptional control. However, changes in mRNA abundance reflect the combined effect of changes in RNA production, processing, and degradation, and thus, mRNA levels provide an occluded view of transcriptional regulation. RESULTS: To partially disentangle these issues, we carry out genome-wide RNA polymerase II (PolII) localization profiling in budding
We present an experimental study of NO x (NO and NO 2 ) formation from air and N 2 /O 2 /NO x mixtures using a nonthermal microwave plasma device. The tests were performed considering the energy consumed to generate plasma gas and the flow rate of air. The results demonstrated that NO x production was proportional to input power and the inverse of air flow rate. In the experiments that used N 2 and O 2 mixtures instead of air, the maximum NO x concentration produced at equilibrium was 16.02 ×10
Transcriptional memory is critical for the faster reactivation of necessary genes upon environmental changes and requires that the genes were previously in an active state. However, whether transcriptional repression also displays 'memory' of the prior transcriptionally inactive state remains unknown. In this study, we show that transcriptional repression of ∼540 genes in yeast occurs much more rapidly if the genes have been previously repressed during carbon source shifts. This novel transcript
Overall, TC extract alleviated AD-like symptoms by regulating anti-inflammatory factors in vivo and suppressing STAT1/3 and NF-κB signaling in vitro. In addition, our results show the in vivo effect of partial improvements in AD, as well as the in vitro effect on inflammatory factors by the constituents of TC. This finding provides that TC extract and its components could be potential therapeutic drugs for AD.
In the yeast Saccharomyces diastaticus, expression of the STA1 gene, which encodes an extracellular glucoamylase, is activated by the specific DNA-binding activators Flo8, Mss11, Ste12, and Tec1 and the Swi/Snf chromatin-remodeling complex. Here we show that Flo8 interacts physically and functionally with Mss11. Flo8 and Mss11 bind cooperatively to the inverted repeat sequence TTTGC-n-GCAAA (n = 97) in UAS1-2 of the STA1 promoter. In addition, Flo8 and Mss11 bind indirectly to UAS2-1 of the STA1