Seoul National University · Medicine
Professor Youngsoo Kim's research lab specializes in systems biology and translational proteomics, focusing on identifying and validating biomarkers for cancer and neurodegenerative diseases. The lab integrates advanced mass spectrometry techniques, including label-free and targeted proteomics (e.g., MRM), with multi-omics data mining to uncover disease mechanisms and therapeutic targets. Key research directions include the characterization of astrocyte proteomes and secretomes, the development of quantitative MS-based methods for clinical pathology (e.g., on FFPE tissues), and the discovery of novel regulatory proteins such as IKKβ in inflammatory pathways. The lab also investigates post-translational modifications, particularly autocatalytic proteolytic cleavage, to understand protein activation and function in disease contexts.
Figures are computed from collected data and may differ slightly.
The popular IEEE 802.11 WLAN is known to achieve relatively small throughput performance compared to the underlying physical layer (PHY) transmission rate. This is due mainly to the large overheads composed of medium access control (MAC) header, PHY preamble/header, backoff time, acknowledgement (ACK) transmission, and some inter-frame spaces (IFSs). Since these overheads are added to each frame transmission, the throughput degradation is relatively high with small-size frames. In this paper, we
Astrocytes are the most abundant cells in the CNS, but their function remains largely unknown. Characterization of the whole-cell proteome and secretome in astrocytes would facilitate the study of their functions in various neurodegenerative diseases and astrocyte-neuron communication. To build a reference proteome, we established a C8-D1A astrocyte proteome to a depth of 7265 unique protein groups using a novel strategy that combined two-step digestion, filter-aided sample preparation, StageTip
Hepatocellular carcinoma (HCC) is one of the most common and aggressive cancers and is associated with a poor survival rate. Clinically, the level of alpha-fetoprotein (AFP) has been used as a biomarker for the diagnosis of HCC. The discovery of useful biomarkers for HCC, focused solely on the proteome, has been difficult; thus, wide-ranging global data mining of genomic and proteomic databases from previous reports would be valuable in screening biomarker candidates. Further, multiple reaction
Advances in targeted medications have improved the survival rate of breast cancer patients with molecular marker-positive tumors. To date, immunohistochemistry (IHC) has remained as the standard method for quantifying the markers including HER2, ER, and PR. Nevertheless, IHC-based grading is subjective, because the results depend on trained individuals' eye rather than numerical quantities. Thus, alternative methods that can account for quantitative levels of markers are gaining popularity, incl
This study demonstrates that IKKβ is a molecular target of D10G involved in the suppression of NF-κB-regulated gene expression in LPS-activated macrophages; this suggests D10G has therapeutic potential in NF-κB-associated inflammation and autoimmune disorders.
Autocatalytic proteolytic cleavage is a frequently observed post-translational modification in proteins. Cephalosporin acylase (CA) is a recently identified member of the N-terminal hydrolase family that is activated from an inactive precursor by autoproteolytic processing, generating a new N-terminal residue, which is either a Ser or a Thr. The N-terminal Ser or Thr becomes a nucleophilic catalytic center for intramolecular and intermolecular amide cleavages. The gene structure of the open read
Because of the lower incidence of false-negative findings, the MRM-MS assay is more suitable than LiBA for early detection of HCC.
Diabetic retinopathy (DR) is a common microvascular complication caused by diabetes mellitus (DM) and is a leading cause of vision impairment and loss among adults. Here, we performed a comprehensive proteomic analysis to discover biomarkers for DR. First, to identify biomarker candidates that are specifically expressed in human vitreous, we performed data-mining on both previously published DR-related studies and our experimental data; 96 proteins were then selected. To confirm and validate the
Microglia are major immune cells in the central nervous system. A characterization of microglia proteome would facilitate on the study of microglial functions in association with various neurodegenerative diseases. To build a reference proteome, we established a BV-2 microglial proteome to a depth of 5494 unique protein groups using a novel strategy that combined FASP, StageTip-based high pH fractionation, and high-resolution MS quickly and cost efficiently. By bioinformatics analysis, the BV-2
This MRM-MS assay yields more accurate HER2 expression levels relative to immunohistochemistry and should help to guide clinicians toward the proper treatment for breast cancer patients, based on their HER2 expression.
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