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Research Highlights

Research Highlights /

Research Highlights

Temporally Distinct 3D Multi-Omic Dynamics in the Developing Human Brain

Temporally Distinct 3D Multi-Omic Dynamics in the Developing Human Brain

Prof. Dong-Sung Lee

Professor Dongsung Lee from the College of Medicine at SNU, in collaboration with researchers at UCLA and UCSF, has published a paper in Nature, being the first in the world to study epigenomic changes, including the three-dimensional genome structure and DNA methylation, during human brain development from the fetal stage to adulthood at the single-cell level, using the single-nucleus methyl-3C technology they developed.

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Inhibition of BCAT1-mediated cytosolic leucine metabolism regulates Th17 responses via the mTORC1-HIF1α pathway

Inhibition of BCAT1-mediated cytosolic leucine metabolism regulates Th17 responses via the mTORC1-HIF1α pathway

Prof. Won-Woo Lee

Professor Won-Woo Lee's team in the Department of Microbiology and Immunology at SNU College of Medicine has uncovered that the metabolic pathway of cytosolic leucine in CD4+ T cells plays a crucial role in modulating the inflammatory Th17 response, a key factor in autoimmunity.

Integrating non-invasive VIS-NIR and bioimpedance spectroscopies for stress classification of sweet basil (<i>Ocimum basilicum</i> L.) with machine learning

Integrating non-invasive VIS-NIR and bioimpedance spectroscopies for stress classification of sweet basil (Ocimum basilicum L.) with machine learning

Prof. Soo Chung

Plant stress diagnosis is essential for efficient crop management and productivity increase. Under stress, plants undergo physiological and compositional changes.

A dose-dependent bimodal switch by homologous Aux/IAA transcriptional repressors

A dose-dependent bimodal switch by homologous Aux/IAA transcriptional repressors

Prof. Hyung-Taeg Cho

Combinatorial interactions between different regulators diversify and enrich the chance of transcriptional regulation in eukaryotic cells.

Development of Technology to Predict the Deformation of DNA Origami Structures Induced by DNA-Binding Molecules

Development of Technology to Predict the Deformation of DNA Origami Structures Induced by DNA-Binding Molecules

Prof. Do-Nyun Kim

Chemo-mechanical deformation of structured DNA assemblies driven by DNA-binding ligands has offered promising avenues for biological and therapeutic applications.

Selective reactivation of value- and place-dependent information during sharp-wave ripples in the intermediate and dorsal hippocampus

Selective reactivation of value- and place-dependent information during sharp-wave ripples in the intermediate and dorsal hippocampus

Professor Lee’s research team from Seoul National University has revealed the unique role of the intermediate hippocampus in reactivating the memories of places with their relative values, through recording place cells in freely moving rats performing a memory task.

Thermal Runaway Mechanism in Ni-Rich Cathode Full Cells of Lithium-Ion Batteries: The Role of Multidirectional Crosstalk

Thermal Runaway Mechanism in Ni-Rich Cathode Full Cells of Lithium-Ion Batteries: The Role of Multidirectional Crosstalk

Prof. Jongwoo Lim

Professor Jongwoo Lim's research team from the Department of Chemistry at SNU explored the fundamental causes of temperature surges during thermal runaway in lithium-ion battery full cells. The article identified intermediates that create a self-amplifying loop via multidirectional crosstalk between the battery electrodes.

Universal Kibble-Zurek scaling in an atomic Fermi superfluid

Universal Kibble-Zurek scaling in an atomic Fermi superfluid

Prof. Yong-il Shin

The Kibble–Zurek mechanism is a theoretical framework that describes the formation and scaling of topological defects in symmetry-breaking phase transitions.

Deep ocean warming-induced El Niño changes

Deep ocean warming-induced El Niño changes

Prof. Jong-Seong Kug

The deep ocean, a vast thermal reservoir, absorbs excess heat under greenhouse warming, which ultimately regulates the Earth’s surface climate.

Significantly Reduces Sepsis Mortality Rate Without Blood Culture

Significantly Reduces Sepsis Mortality Rate Without Blood Culture

Professor Sunghoon Kwon

A collaborative research team led by Professor Kwon Sunghoon of the Department of Electrical and Computer Engineering at Seoul National University (SNU), along with Professors Park Wan-beom and Kim Inho of Seoul National University Hospital and QuantaMatrix Inc., has opened a new path to significantly improve the survival rate of sepsis patients, who have a mortality rate exceeding 40%.

SigAlign: an alignment algorithm guided by explicit similarity criteria

SigAlign: an alignment algorithm guided by explicit similarity criteria

Prof. Joohon Sung

Professor Joohon Sung from the Graduate School of Public Health and the Interdisciplinary Program in Bioinformatics at Seoul National University, along with Ph.D. candidate Kunhyung Bahk from the same Bioinformatics program, have presented a new algorithm for genome analysis.

Profiling protein-protein interactions to predict the efficacy of B-cell-lymphoma-2-homology-3 mimetics for acute myeloid leukaemia

Profiling protein-protein interactions to predict the efficacy of B-cell-lymphoma-2-homology-3 mimetics for acute myeloid leukaemia

Prof. Tae-Young Yoon

B-cell-lymphoma-2 (BCL2) homology-3 (BH3) mimetics are inhibitors of protein–protein interactions (PPIs) that saturate anti-apoptotic proteins in the BCL2 family to induce apoptosis in cancer cells.

Partial-convolution-implemented generative adversarial network for global oceanic data assimilation

Partial-convolution-implemented generative adversarial network for global oceanic data assimilation

Prof. Yoo-Geun Ham

The oceanic data assimilation (DA) system, essential for understanding and forecasting global climate variabilities, blends prior information from numerical models with observed data to create the best possible estimates and their uncertainties of oceanic conditions.