Frontispiz: A Cytoprotective and Degradable Metal–Polyphenol Nanoshell for Single‐Cell Encapsulation

Park, Ji Hun,Kim, Kyunghwan,Lee, Juno,Choi, Ji Yu,Hong, Daewha,Yang, Sung Ho,Caruso, Frank,Lee, Younghoon,Choi, Insung S. WILEY‐VCH Verlag 2014 Angewandte Chemie Vol.126 No.46

<P><B>Nanoschalen</B> F. Caruso, Y. Lee, I. S. Choi und Mitarbeiter beschreiben in ihrer Zuschrift auf S. 12628 ff., dass einzelne Hefezellen durch die Bildung einer Nanoschale aus Gerbsäure und Fe<SUP>III</SUP>‐Ionen geschützt werden können.</P>

Titelbild: Pitch‐Dependent Acceleration of Neurite Outgrowth on Nanostructured Anodized Aluminum Oxide Substrates (Angew. Chem. 52/2010)

Cho, Woo Kyung,Kang, Kyungtae,Kang, Gyumin,Jang, Min Jee,Nam, Yoonkey,Choi, Insung S. WILEY‐VCH Verlag 2010 Angewandte Chemie Vol.122 No.52

<P><B><I>Die Strukturweite des nanostrukturierten Substrats</I></B> steuert das Wachstum von Nervenzellen in vitro. In ihrer Zuschrift auf S. 10312 ff. zeigen I. S. Choi, Y. Nam et al., dass primäre Hippocampusneuronen auf anodisiertem Aluminiumoxid mit 400 nm Strukturweite viel schneller wachsen – im Zeitraum von einigen Tagen – als auf Oberflächen mit 60 nm Strukturweite.</P>

Artificial Spores

Insung S. CHOI 한국생물공학회 2012 한국생물공학회 학술대회 Vol.2012 No.4

Neurons on nanotopographies

Insung S. CHOI 한국진공학회 2016 한국진공학회 학술발표회초록집 Vol.2016 No.8

Organic/inorganic double-layered shells for multiple cytoprotection of individual living cells

Hong, Daewha,Lee, Hojae,Ko, Eun Hyea,Lee, Juno,Cho, Hyeoncheol,Park, Matthew,Yang, Sung Ho,Choi, Insung S. Royal Society of Chemistry 2015 Chemical science Vol.6 No.1

<▼1><P><I>S. cerevisiae</I> encapsulated with a poly(norepinephrine)/silica double-layered shell showed multiple resistance to enzymatic attack, desiccation, and UV-C irradiation. The biochemical response of the encapsulated yeast may also contribute to the UV-C resistance.</P></▼1><▼2><P>The cytoprotection of individual living cells under <I>in vitro</I> and daily-life conditions is a prerequisite for various cell-based applications including cell therapy, cell-based sensors, regenerative medicine, and even the food industry. In this work, we use a cytocompatible two-step process to encapsulate <I>Saccharomyces cerevisiae</I> in a highly uniform nanometric (<100 nm) shell composed of organic poly(norepinephrine) and inorganic silica layers. The resulting cell-in-shell structure acquires multiple resistance against lytic enzyme, desiccation, and UV-C irradiation. In addition to the UV-C filtering effect of the double-layered shell, the biochemical responses of the encapsulated yeast are suggested to contribute to the observed UV-C tolerance. This work offers a chemical tool for cytoprotecting individual living cells under multiple stresses and also for studying biochemical behavior at the cellular level.</P></▼2>

A Study on the Genomic Patterns of SARS coronavirus using Bioinformtaics Techniques

Ahn Insung(안인성),Jeong Byeong-Jin(정병진),Son Hyeon S(손헌석) 한국콘텐츠학회 2007 한국콘텐츠학회 종합학술대회 논문집 Vol.5 No.2_2

중중급성호홉기증후군(SARS, Severe Acute Respiratory Syndrome)은 전 세계적으로 알려진 바가 없었던 신종 급성 전염성 질환으로써,2003년 아시아로부터 북미와 유럽지역까지 빠른 속도로 전파되어 나간 이후로부터 많은 과학자들의 연구의 대상이 되어오고 있다. 계통발생학적인 관점에서 SARS 바이러스는 Coronavirus 속에 속하는 것으로 알려져 있으나, 전체적인 유전정보 면에서는 다른 코로나바이러스들에 비하여 진화상으로 보존된 부분들이 현저하게 적은 경향을 나타낸다. 자연계에서의 SARS 코로나바이러스 (SARS-CoV)의 숙주생물종에 대해서는 아직까지도 명확히 알려지지 않고 있다. 본 연구에서는 SARS-CoV의 유전서열들을 대상으로 다중서열정렬법, 계통발생학적 분석기법 및 다변량 통계분석법 등과 같은 바이오인포매틱스 분석기법들을 활용하여 이 바이러스의 유전정보 패턴을 분석하였다. Relative synonymous codon usage (RSCU)값을 포함하는 여러 유전정보 파라미터들은 Coronavirus와 Lentivirus 속과 Orthomyxoviridae과로부터 수집된 총 30,305개의 암호화 서열들로부터 계산이 되었으며 이 모든 계산은 KISTI 슈퍼컴퓨텡센터의 SMP 클러스터 상에서 수행되었다. 분석 결과, SARS-CoV는 feline 코로나바이러스와 매우 유사한 RSCU 패턴을 나타내었는데, 이것은 기존에 보고되었던 혈청학적인 연구결과와 일치하는 결과였다. 또한 SARS-CoV와 human immunodeficiecy virus 및 influenza A virus는 공통적으로 각각이 속한 속이나 과내에서 상대적으로 낮은 RSCU bias를 나타내어서 이와 같은 현상이 이들 바이러스들이 종 간 장벽을 뛰어넘어 전파되는 과정에 영향을 미쳤을 가능성을 시사하였다. 결론적으로 이와 같은 바이오인포매틱스 분석기법들을 활용한 대용량의 유전정보 분석은 유전체 역학 연구에 효과적으로 사용될 수 있을 것으로 기대된다. Since newly emerged disease, the Severe Acute Respiratory Syndrome (SARS), spread from Asia to North America and Europe rapidly in 2003, many researchers have tried to determine where the virus came from. In the phylogenetic point of view, SARS virus has been known to be one of the genus Coronavirus, but, the overall conservation of SARS virus sequence was not highly similar to that of known coronaviruses. The natural reservoirs of SARS-CoV are not clearly determined, yet. In the present study, the genomic sequences of SARS-CoV were analyzed by bioinformatics techniques such as multiple sequence alignment and phylogenetic analysis methods as well multivariate statistical analysis. All the calculating processes, including calculations of the relative synonymous codon usage (RSCU) and other genomic parameters using 30,305 coding sequences from the two genera, Coronavirus, and Lentivirus, and one family, Orthomyxoviridae, were performed on SMP cluster in KISTI, Supercomputing Center. As a result, SARS_CoV showed very similar RSCU patterns with feline coronavirus on the both axes of the correspondence analysis, and this result showed more agreeable results with serological results for SARS_CoV than that of phylogenetic result itself. In addition, SARS_CoV, human immunodeficiency virus, and influenza A virus commonly showed the very low RSCU differences among each synonymous codon group, and this low RSCU bias might provide some advantages for them to be transmitted from other species into human beings more successfully. Large-scale genomic analysis using bioinformatics techniques may be useful in genetic epidemiology field effectively.

Comparative study of the hemagglutinin and neuraminidase genes of influenza A virus H3N2, H9N2, and H5N1 subtypes using bioinformatics techniques

Ahn, Insung,Son, Hyeon S. National Research Council 2007 Canadian journal of microbiology Vol.53 No.7

<P>To investigate the genomic patterns of influenza A virus subtypes, such as H3N2, H9N2, and H5N1, we collected 1842 sequences of the hemagglutinin and neuraminidase genes from the NCBI database and parsed them into 7 categories: accession number, host species, sampling year, country, subtype, gene name, and sequence. The sequences that were isolated from the human, avian, and swine populations were extracted and stored in a MySQL<SUP>®</SUP>database for intensive analysis. The GC content and relative synonymous codon usage (RSCU) values were calculated using JAVA codes. As a result, correspondence analysis of the RSCU values yielded the unique codon usage pattern (CUP) of each subtype and revealed no extreme differences among the human, avian, and swine isolates. H5N1 subtype viruses exhibited little variation in CUPs compared with other subtypes, suggesting that the H5N1 CUP has not yet undergone significant changes within each host species. Moreover, some observations may be relevant to CUP variation that has occurred over time among the H3N2 subtype viruses isolated from humans. All the sequences were divided into 3 groups over time, and each group seemed to have preferred synonymous codon patterns for each amino acid, especially for arginine, glycine, leucine, and valine. The bioinformatics technique we introduce in this study may be useful in predicting the evolutionary patterns of pandemic viruses.</P>

전염성 프라이온의 특징 및 구조분석 연구동향

안인성(Insung Ahn),안설아(Sul-Ah Ahn),이상주(Sang Joo Lee),정병진(Byeong-Jin Jeong),손현석(Hyeon S. Son) 서울대학교 보건환경연구소 2005 보건학논집 Vol.42 No.2

딥러닝 기반 도심지 항공 영상의 그림자 제거

김주완(Juwan Kim),장인성(Insung Jang) 대한공간정보학회 2021 한국공간정보학회 학술대회 Vol.2021 No.11

스마트시티, 디지털트윈 등 실감형 3D 도시모델에 대한 수요가 증가하면서, UAV 기반 고품질 항공 영상에 대한 요구가 커지고 있다. 그러나, 도심지 영상에 포함된 건물 그림자는 영상 처리, 시뮬레이션 등의 활용 과정에서 장애 요소로 작용하고 있다. 본 연구는 UAV로 촬영한 도심지 항공 영상에 있는 그림자를 딥러닝으로 제거하여 화질을 개선하는 방법을 제안한다. 제안 방법은 개선된 이중 계층적 그림자 제거 인공신경망을 기반으로 다양한 실세계 환경에 강건한 그림자 제거 성능을 확보하기 위하여 물리적 조명 모델을 활용한 도메인 랜덤화 기법을 적용하였다. 공개된 학습 데이타를 이용하여 성능 평가를 실시하였으며, 실제 드론 촬영 영상에 적용하여 그림자 영역의 화질이 개선된 결과를 제시한다.

Preparation of fluorescein-functionalized electrospun fibers coated with TiO₂ and gold nanoparticles for visible-light-induced photocatalysis

Choi, Won Suk,Choi, Insung S.,Lee, Jungkyu K.,Yoon, Kuk Ro Elsevier 2015 Materials chemistry and physics Vol.163 No.-

<P><B>Abstract</B></P> <P>We demonstrated a new type of visible light-induced photocatalyst, comprising fluorescein molecules, TiO<SUB>2</SUB>, and gold nanoparticles anchored onto polymer fibers. The synthesized fiber composite was fully characterized by thermogravimetric analysis, scanning electron microscopy, transmission electron microscopy, FT-IR spectroscopy, contact angle measurement, and fluorescence microscopy. Under sunlight and visible light irradiation, the photocatalytic activity of the tricomponent system showed 2–3 times greater photodegradation efficiency for methylene blue than a representative photocatalyst, Degussa P25.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Synthesis of a novel composite, polymer fiber/organic dye/TiO<SUB>2</SUB>/gold nanoparticles. </LI> <LI> The composite was characterized by TGA, SEM, TEM, and fluorescence microscopy. </LI> <LI> Improved visible light photocatalytic activity of the sythesized novel composite. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>PSS/PAH-FITC/TiO<SUB>2</SUB>/AuNP composite demonstrated 2–3 times greater visible light photodegradation efficiency for methylene blue than a representative photocatalyst, Degussa P25.</P> <P>[DISPLAY OMISSION]</P>