1.A Case of Terra Firma-forme Dermatosis.
Minsung KIM ; Inho BAE ; Bongseok SHIN ; Chanho NA
Korean Journal of Dermatology 2018;56(3):210-231
No abstract available.
Skin Diseases*
2.Pericardial Recess: Computed Tomography Findings of Varying Disorders
Jinho SEO ; Youngtong KIM ; Sungshick JOU ; Chanho PARK
Journal of the Korean Radiological Society 2020;81(6):1364-1376
A pericardial recess is frequently seen in patients undergoing chest computed tomography (CT). It is important to be aware of the normal anatomy of the pericardium as it is often mistaken for normal variants and/or disease. Therefore, we will describe the anatomy and location of the pericardial recess and the specific findings in various diseases associated with the pericardial recess.
3.Inguinal and Scrotal Diseases in Children and Adolescents
Jaeyoung LEE ; Youngtong KIM ; Sungshick JOU ; Chanho PARK
Journal of the Korean Radiological Society 2022;83(4):792-807
In children and adolescents, inguinal and scrotal diseases are relatively common, and imaging is very useful for the diagnosis and differential diagnosis of these diseases. Therefore, it is important to understand the imaging findings of these diseases. In this article, we classify these diseases into small testes, cryptorchidism, patent processus vaginalis, acute scrotum pain, trauma, testicular tumors, and others and describe their characteristic findings.
4.Artificial intelligence in breast ultrasonography
Jaeil KIM ; Hye Jung KIM ; Chanho KIM ; Won Hwa KIM
Ultrasonography 2021;40(2):183-190
Although breast ultrasonography is the mainstay modality for differentiating between benign and malignant breast masses, it has intrinsic problems with false positives and substantial interobserver variability. Artificial intelligence (AI), particularly with deep learning models, is expected to improve workflow efficiency and serve as a second opinion. AI is highly useful for performing three main clinical tasks in breast ultrasonography: detection (localization/ segmentation), differential diagnosis (classification), and prognostication (prediction). This article provides a current overview of AI applications in breast ultrasonography, with a discussion of methodological considerations in the development of AI models and an up-to-date literature review of potential clinical applications.
5.Effect of CRP (cAMP Receptor Protein) of Escherichia coli on Transcription Initiation at lacUV5 Promoter.
Soon Young KIM ; Hyukran KWON ; Sangryeol RYU ; Chanho PARK ; Keho LEE
Journal of the Korean Society for Microbiology 1998;33(4):391-398
The cyclic AMP receptor protein (CRP) complexed with cyclic AMP (CRP.cAMP) regulates expression of many genes by binding to sites at or near many promoters of Escherichia coli. The regulatory effect of CRP.cAMP was studied by in vitro transcription assay with lacUV5 promoter derivatives that have the CRP binding site at different locations (-56 to -69 from the transcription start site of lacUV5 promoter) upstream of the promoter. The CRP binding site itself influenced differently on the promoter activity depending on the distances from the promoter. Depending on the helix phasing of the CRP.cAMP relative to RNA polymerase CRP.cAMP activated, repressed or had no effect on the promoter. These results imply that a regulator is not a dedicated protein for repression or activation but that any regulator may have a potential of dual functionalities when it is under appropriate condition.
Binding Sites
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Cyclic AMP
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Cyclic AMP Receptor Protein
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DNA-Directed RNA Polymerases
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Escherichia coli*
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Escherichia*
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Repression, Psychology
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Transcription Initiation Site
6.Expansion and Sub-Classification of T Cell-Dependent Antibody Responses to Encompass the Role of Innate-Like T Cells in Antibody Responses.
Immune Network 2018;18(5):e34-
In addition to T cell-dependent (TD) Ab responses, T cells can also regulate T cell-independent (TI) B cell responses in the absence of a specific major histocompatibility complex (MHC) class II and antigenic peptide-based interaction between T and B cells. The elucidation of T cells capable of supporting TI Ab responses is important for understanding the cellular mechanism of different types of TI Ab responses. Natural killer T (NKT) cells represent 1 type of helper T cells involved in TI Ab responses and more candidate helper T cells responsible for TI Ab responses may also include γδ T cells and recently reported B-1 helper CD4⁺ T cells. Marginal zone (MZ) B and B-1 cells, 2 major innate-like B cell subsets considered to function independently of T cells, interact with innate-like T cells. Whereas MZ B and NKT cells interact mutually for a rapid response to blood-borne infection, peritoneal memory phenotype CD49d(high)CD4⁺ T cells support natural Ab secretion by B-1 cells. Here the role of innate-like T cells in the so-called TI Ab response is discussed. To accommodate the involvement of T cells in the TI Ab responses, we suggest an expanded classification of TD Ab responses that incorporate cognate and non-cognate B cell help by innate-like T cells.
Antibody Formation*
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Antigen-Antibody Reactions
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B-Lymphocyte Subsets
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B-Lymphocytes
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Classification
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Major Histocompatibility Complex
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Memory
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Natural Killer T-Cells
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Phenotype
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T-Lymphocytes*
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T-Lymphocytes, Helper-Inducer
7.Serosal Cavities Contain Two Populations of Innate-like integrin α4highCD4+ T Cells, Integrin α4β1+α6β1+α4β7− and α4β1+α6β1−α4β7+ Cells.
Jeong In YANG ; Chanho PARK ; Inseong KHO ; Sujin LEE ; Kyung Suk SUH ; Tae Jin KIM
Immune Network 2017;17(6):392-401
We previously reported peritoneal innate-like integrin α4 (CD49d)highCD4+ T cells that provided help for B-1a cells. Here we analyzed the expression of various integrin chains on the peritoneal and pleural integrin α4highCD4+ T cells and investigated the functional heterogeneity of the subpopulations based on the integrin expression. Pleural cavity contained a lower ratio of integrin α4highCD4+ T cells to integrin α4lowCD4+ T cells than peritoneal cavity, but the pleural integrin α4highCD4+ T cells have the same characteristics of the peritoneal integrin α4highCD4+ T cells. Most of integrin α4highCD4+ T cells were integrin β1highβ7−, but a minor population of integrin α4highCD4+ T cells was integrin β1+β7+. Interestingly, the integrin α4highβ1highβ7− CD4+ T cells expressed high levels of integrin α4β1 and α6β1, whereas integrin α4highβ1+β7+ CD4+ T cells expressed high levels of integrin α4β1 and α4β7, suggesting an alternative expression of integrin α6β1 or α4β7 in combination with α4β1 in respective major and minor populations of integrin α4highCD4+ T cells. The minor population, integrin α4highβ1+β7+ CD4+ T cells, were different from the integrin α4highβ1highβ7− CD4+ T cells in that they secreted a smaller amount of Th1 cytokines upon stimulation and expressed lower levels of Th1-related chemokine receptors CCR5 and CXCR3 than the integrin α4highβ1 highβ7− CD4+ T cells. In summary, the innate-like integrin α4highCD4+ T cells could be divided into 2 populations, integrin α4β1+α6β1+α4β7− and α4β1+α6β1−α4β7+ cells. The functional significance of serosal integrin α4β7+ CD4+ T cells needed to be investigated especially in view of mucosal immunity.
CD4-Positive T-Lymphocytes
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Cytokines
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Immunity, Mucosal
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Integrin alpha4
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Peritoneal Cavity
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Pleural Cavity
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Population Characteristics
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Receptors, CCR5
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Receptors, Chemokine
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Receptors, CXCR3
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T-Lymphocytes*
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Th1 Cells