Sung-Chul Kim
Pohang University of Science and Technology · 生化学・遺伝学・分子生物学
研究室紹介
Professor Sung-Chul Kim's research lab specializes in computational and systems biology, focusing on the molecular mechanisms of human diseases, particularly skin aging and viral infections such as human cytomegalovirus (HCMV). The lab employs advanced bioinformatics and systems-level approaches to decipher competing endogenous RNA (ceRNA) networks, somatic mutation profiles, and host-pathogen interactions. Key research directions include identifying regulatory non-coding RNA networks in aging and disease, developing novel algorithms for patient similarity search in genomics, and elucidating structural and functional mechanisms of bacterial transcriptional regulators. The lab integrates multi-omics data with machine learning to support precision medicine and clinical decision-making.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Skin aging is a complex process influenced by intrinsic and extrinsic factors. Although dermatology offers advanced interventions, molecular mechanisms in skin aging remain limited. Competing endogenous RNAs (ceRNAs), a subset of coding or non-coding RNAs, regulate gene expression through miRNA competition. Several ceRNA networks investigated up to now offer insights into skin aging and wound healing. In skin aging, RP11-670E13.6-miR-663a-CDK4/CD6 delays senescence induced by UVB radiation. Meg3
A human cytomegalovirus (HCMV) causes a persistent asymptomatic infection in healthy individuals and possesses unexpected dangers to newborn babies, immunocompromised people, and organ transplant recipients because of stealth transmission. Thus, an early and accurate diagnosis of HCMV infection is crucial for prevention of unexpected transmission and progression of the severe diseases. The standard method of HCMV diagnosis depends on serology, antigen test, and polymerase chain reaction-based nu
Abstract The Pseudomonas putida phenol-responsive regulator DmpR is a bacterial enhancer binding protein (bEBP) from the AAA + ATPase family. Even though it was discovered more than two decades ago and has been widely used for aromatic hydrocarbon sensing, the activation mechanism of DmpR has remained elusive. Here, we show that phenol-bound DmpR forms a tetramer composed of two head-to-head dimers in a head-to-tail arrangement. The DmpR-phenol complex exhibits altered conformations within the C
MOTIVATION: As the quantity of genomic mutation data increases, the likelihood of finding patients with similar genomic profiles, for various disease inferences, increases. However, so does the difficulty in identifying them. Similarity search based on patient mutation profiles can solve various translational bioinformatics tasks, including prognostics and treatment efficacy predictions for better clinical decision making through large volume of data. However, this is a challenging problem due t
Finding related articles from the PubMed (a large biomedical literature repository) is challenging because it is hard to express the user's specific relevance in the given query interface and a keyword query typically retrieves many results. Biomedical researchers spend a critical amount of time (e.g., often more than several days) in the literature search process. This paper proposes RefMed, a novel search system for PubMed, which supports relevance ranking by enabling relevance feedback on Pub
Summary A recent ground-breaking study suggested that small RNA from mammalian cells can undergo N-glycan modifications (termed glycoRNA) 1 . The discovery relied upon a metabolic glycan labeling strategy in combination with commonly used phase-separation-based RNA isolation. Following the reported procedure, we likewise identified an N-glycosylated species in the RNA fraction. However, our results suggest that the reported RNase sensitivity of the glycosylated species depends on the specific RN
Tumor stratification is one of the basic tasks in cancer genomics for a better understanding of the tumor heterogeneity and better targeted treatments. There are various biological data that can be used to stratify tumors including gene expression and sequencing data. In this work, we use the somatic mutation data. Two types of somatic mutation profiles are generated and clustered using k-means clustering with appropriate distance measures to obtain cancer subtypes for each cancer type: binary s
Seborrheic dermatitis (SD) is one of the most common skin diseases characterized by inflammatory symptoms and cell proliferation, which has increased incidence in patients older than 50 years. Although the roles of microRNAs (miRNAs) have been investigated in several diseases, miRNA profiles of patients with SD remain unknown. This study aimed to identify differentially expressed miRNAs (DEMs) in lesions of elderly male patients with SD. We used a microarray-based approach to identify DEMs in le
Strain F21 T , a marine, aerobic, Gram-negative, rod-shaped bacterium, was isolated from seashore sand sampled in Pohang, Republic of Korea. Cells of strain F21 T were non-motile, catalase-positive, oxidase-positive, non-spore-forming and formed pinkish-red colonies on marine agar. The strain grew optimally at 37°C, pH 7 and in the presence of 2–3 % NaCl (w/v). Analysis of the 16S rRNA gene sequence of strain F21 T revealed that it belonged to the genus Algoriphagus , family Cyclobacteriaceae ,
Understanding functions of proteins is one of the most important challenges in many studies of biological processes. The function of a protein can be predicted by analyzing the functions of structurally similar proteins, thus finding structurally similar proteins accurately and efficiently from a large set of proteins is crucial. A protein structure can be represented as a vector by 3D-Zernike Descriptor (3DZD) which compactly represents the surface shape of the protein tertiary structure. This
Prokaryotes encode clustered regularly interspaced short palindromic repeat (CRISPR) arrays and CRISPR-associated (Cas) genes as an adaptive immune machinery. CRISPR-Cas systems effectively protect hosts from the invasion of foreign enemies, such as bacteriophages and plasmids. During a process called 'adaptation', non-self-nucleic acid fragments are acquired as spacers between repeats in the host CRISPR array, to establish immunological memory. The highly conserved Cas1-Cas2 complexes function
Abstract CRISPR-Cas immunity protects prokaryotes against foreign genetic elements. CRISPR-Cas uses the highly conserved Cas1-Cas2 complex to establish inheritable memory (spacers). It remains elusive how Cas1-Cas2 acquires spacers from cellular DNA fragments (prespacers) and how it integrates them into the CRISPR array in the correct orientation. By using the high spatiotemporal resolution of single-molecule fluorescence, we reveal that Cas1-Cas2 obtains prespacers in various forms including si