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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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Multi-omics-based autophagy-related untypical subtypes in patients with cerebral amyloid pathology

Multi-omics-based autophagy-related untypical subtypes in patients with cerebral amyloid pathology

Prof. Inhee Mook

Recent multi-omics analyses paved the way for a comprehensive understanding of pathological processes. However, only few studies have explored Alzheimer’s disease (AD) despite the possibility of biological subtypes within these patients. For this study, unsupervised classification of four datasets (genetics, miRNA transcriptomics, proteomics, and blood-based biomarkers) using Multi-Omics Factor Analysis+ (MOFA+),

The size of the land carbon sink in China

The size of the land carbon sink in China

Prof. Sujong Jeong

A substantial part of China’s anthropogenic emissions has been offset by its land carbon sink, which represents an important element in achieving carbon neutrality by 2060.

Adipocyte HIF2α functions as a thermostat via PKA Cα regulation in beige adipocytes

Adipocyte HIF2α functions as a thermostat via PKA Cα regulation in beige adipocytes

Prof. Jae Bum Kim

Thermogenic adipocytes generate heat to maintain body temperature against hypothermia in response to cold. Although tight regulation of thermogenesis is required to prevent energy sources depletion, the molecular details that tune thermogenesis are not thoroughly understood.

DeepHisCoM: Deep learning pathway analysis using hierarchical structural component models

DeepHisCoM: Deep learning pathway analysis using hierarchical structural component models

Prof. Taesung Park

Many statistical methods for pathway analysis have been used to identify pathways associated with the disease along with biological factors such as genes and proteins.

Evolutionary balance between foldability and functionality of a glucose transporter

Evolutionary balance between foldability and functionality of a glucose transporter

Prof. Tae-Young Yoon

Professor Tae-Young Yoon's team from the School of Biological Sciences announced that they have revealed the folding mechanism of glucose transporter, a complex membrane protein, for the first time using magnetic tweezers.

Exploiting the full advantages of colloidal perovskite nanocrystals for large-area efficient light-emitting diodes

Exploiting the full advantages of colloidal perovskite nanocrystals for large-area efficient light-emitting diodes

Prof. Tae-Woo Lee

Professor Tae-Woo Lee's team in the Department of Material Engineering announced that they have developed the world's most effective large-scale light-emitting diodes by using metal halide perovskites, which is a promising material for lighting devices.

Spatial epitranscriptomics reveals A-to-I editome specific to cancer stem cell microniches

Spatial epitranscriptomics reveals A-to-I editome specific to cancer stem cell microniches

Prof. Sunghoon Kwon & Prof. Wonshik Ha

The joint research team led by Professor Sunghoon Kwon from the Department of Electrical and Computer Engineering and Professor Wonshik Han from the College of Medicine announced that they have developed a platform for discovering targets for new chemotherapy drugs by using technology used for analyzing cancer RNA editome.

MarcoPolo: a method to discover differentially expressed genes in single-cell RNA-seq data without depending on prior clustering

MarcoPolo: a method to discover differentially expressed genes in single-cell RNA-seq data without depending on prior clustering

Prof. Buhm Han & Prof. Keehoon Jung

The joint research team led by Professor Buhm Han from the Department of Biomedical Sciences and Professor Keehoon Jung from the Department of Anatomy and Cell Biology announced that they have succeeded in developing a new AI algorithm for analyzing single-cell RNA-seq data.

Potential Impact of Late 1980s Regime Shift on the Collapse of Walleye Pollock Catch in the Western East/Japan Sea

Potential Impact of Late 1980s Regime Shift on the Collapse of Walleye Pollock Catch in the Western East/Japan Sea

Prof. Yang-Ki Cho

The research team led by Professor Yang-Ki Cho from the School of Earth and Environmental Sciences announced that they have scientifically proved that rapid ocean current changes and rise in sea surface temperature occurred during the period when the number walleye pollocks dramatically decreased.

SREBP1c-PARP1 axis tunes anti-senescence activity of adipocytes and ameliorates metabolic imbalance in obesity

SREBP1c-PARP1 axis tunes anti-senescence activity of adipocytes and ameliorates metabolic imbalance in obesity

Prof. Jae Bum Kim

The research team led by Professor Jae Bum Kim from the School of Biological Sciences revealed that the accretion of senescent obese adipocytes causes inflammation in fat tissues and insulin resistance which can lead to metabolic diseases.

Ninjurin1 drives lung tumor formation and progression by potentiating Wnt/β-Catenin signaling through Frizzled2-LRP6 assembly

Ninjurin1 drives lung tumor formation and progression by potentiating Wnt/β-Catenin signaling through Frizzled2-LRP6 assembly

Prof. Ho-Young Lee

Professor Ho-Young Lee's team in the College of Pharmacy announced that they have revealed the role of ninjurin1 in causing and exacerbating lung cancer by analyzing public databases and the tissues of lung cancer patients.

In situ multiscale probing of the synthesis of a Ni-rich layered oxide cathode reveals reaction heterogeneity driven by competing kinetic pathways

In situ multiscale probing of the synthesis of a Ni-rich layered oxide cathode reveals reaction heterogeneity driven by competing kinetic pathways

Prof. Kisuk Kang

A research team led by Kang, Kisuk and Park, Jung Won of the College of Engineering revealed a synthetic secret of high-Ni cathode materials that are attracting worldwide attention as the next-generation cathode material for lithium-ion batteries and identified the cause of low-quality synthesis.