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Sequence determinant of small RNA production by DICER
Prof. V. Narry Kim
RNA silencing relies on specific and efficient processing of double-stranded RNA by Dicer, which yields microRNAs (miRNAs) and small interfering RNAs (siRNAs).
Research Highlights Board
Complex regulatory networks of virulence factors in Vibrio vulnificus
Prof. Sang Ho Choi
Vibrio vulnificus produces various virulence factors that enhance its fitness in changing environments as well as host cell-damaging activities and inflammatory responses during infection.
CXCL5 inhibits excessive oxidative stress by regulating white adipocyte differentiation
Prof. Je-Yoel Cho
Chemokines have been well-documented as a major factor in immune cell migration and the regulation of immune responses.
Dynamic interaction of BRCA2 with telomeric G-quadruplexes underlies telomere replication homeostasi...
Prof. Hyunsook Lee & Prof. Seong Keun Kim
BRCA2-deficient cells precipitate telomere shortening upon collapse of stalled replication forks. Here, we report that the dynamic interaction between BRCA2 and telomeric G-quadruplex (G4), the non-canonical four-stranded secondary structure, underlies telomere replication homeostasis.
Digital selective transformation and patterning of highly conductive hydrogel bioelectronics by lase...
Prof. Seung Hwan Ko
The patterning of poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) hydrogels with excellent electrical property and spatial resolution is a challenge for bioelectronic applications.
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
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
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
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
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-e...
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
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 d...
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.