• Title/Summary/Keyword: Human brain

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Blood-brain barrier-on-a-chip for brain disease modeling and drug testing

  • Cui, Baofang;Cho, Seung-Woo
    • BMB Reports
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    • v.55 no.5
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    • pp.213-219
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    • 2022
  • The blood-brain barrier (BBB) is an interface between cerebral blood and the brain parenchyma. As a gate keeper, BBB regulates passage of nutrients and exogeneous compounds. Owing to this highly selective barrier, many drugs targeting brain diseases are not likely to pass through the BBB. Thus, a large amount of time and cost have been paid for the development of BBB targeted therapeutics. However, many drugs validated in in vitro models and animal models have failed in clinical trials primarily due to the lack of an appropriate BBB model. Human BBB has a unique cellular architecture. Different physiologies between human and animal BBB hinder the prediction of drug responses. Therefore, a more physiologically relevant alternative BBB model needs to be developed. In this review, we summarize major features of human BBB and current BBB models and describe organ-on-chip models for BBB modeling and their applications in neurological complications.

The Need for the Development of Pig Brain Tumor Disease Model using Genetic Engineering Techniques (유전자 조작기법을 통한 돼지 뇌종양 질환모델 개발의 필요성)

  • Hwang, Seon-Ung;Hyun, Sang-Hwan
    • Journal of Embryo Transfer
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    • v.31 no.1
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    • pp.97-107
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    • 2016
  • Although many diseases could be treated by the development of modern medicine, there are some incurable diseases including brain cancer, Alzheimer disease, etc. To study human brain cancer, various animal models were reported. Among these animal models, mouse models are valuable tools for understanding brain cancer characteristics. In spite of many mouse brain cancer models, it has been difficult to find a new target molecule for the treatment of brain cancer. One of the reasons is absence of large animal model which makes conducting preclinical trials. In this article, we review a recent study of molecular characteristics of human brain cancer, their genetic mutation and comparative analysis of the mouse brain cancer model. Finally, we suggest the need for development of large animal models using somatic cell nuclear transfer in translational research.

Identification of Non-Muscle Nebulin Isoform in Human Brain Library

  • Joo, Young-Mi;Lee, Min-A;Choi, Pyung-Rak;Choi, Jae-Kyoung;Lee, Yeong-Mi;Choi, Su-Il;Kim, Myong-Shin;Jeon, Eun-Hee;Kim, So-Young;Kim, Chong-Rak
    • Biomedical Science Letters
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    • v.10 no.1
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    • pp.23-29
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    • 2004
  • Nebulin is a (Mr 600∼900 kDa) large actin-binding protein specific to skeletal muscle and thought to act as a molecular template that regulates the length of thin filaments. Cardiac muscles of higher vertebrates have been shown earlier to lack nebulin. Recently, full-length nebulin mRNA transcripts have been detected in heart muscle, but at lower levels than in skeletal muscle. Nebulin expression also was detected in the kidney, eye, and otic canal, suggesting that nebulin isoforms may also be expressed in these organs. We have searched for nebulin isoforms in brain of human using PCR and Northern blot. Here, we provide evidence that nebulin mRNA transcripts are expressed in brain. Seven nebulin isoforms (B, C, D, E, F, G and H form) are obtained in human skeletal muscle and four isoforms (B, C, G and H form) in human brain cDNA library. We cloned the 1.3 kb of nebulin fragment from human adult brain library by PCR. The identity of the PCR product was confirmed by sequence analysis. The partial brain nebulin sequence was 99% identical to the skeletal muscle cDNA as determined by Blast alignment. It contains two simple-repeats HR1, HR2 and linker-repeats exon l35∼143 except exon 140. It was different from skeletal muscle B form, which contain HR1 and HR8. These data suggest that nebulin isoform diversity occurs even more extensively than previously known, likely contributing to the distinct thin filament architecture of different striated muscles.

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A Brain-Based Approach to Science Teaching and Learning: A Successive Integration Model of the Structures and Functions of Human Brain and the Affective, Psychomotor, and Cognitive Domains of School Science (뇌 기능에 기초한 과학 교수학습: 뇌기능과 학교 과학의 정의적$\cdot$심체적$\cdot$인지적 영역의 연계적 통합 모형)

  • Lim Chae-Seong
    • Journal of Korean Elementary Science Education
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    • v.24 no.1
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    • pp.86-101
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    • 2005
  • In this study, a brain-basrd model for science teaching and learning was developed based on the natural processes which human acquire knowledge about a natural object or on event, the major domains of science educational objectives of the national curriculum, and the human brain's organizational patterns and functions. In the model, each educational objective domain is related to the brain regions as follows: The affective domain is related to the limbic system, especially amygdala of human brain which is involved in emotions, the psychomotor domain is related to the occipital lobes of human brain which perform visual processing, temporal lobes which perform functions of language generating and understandng, and parietal lobes which receive and process sensory information and execute motor activities of body, and the cognitive domain is related to the frontal and prefrontal lobes which are involved in think-ing, planning, judging, and problem solving. The model is a kind of procedural model which proceed fiom affective domain to psychomotor domain, and to cognitive domain of science educational objective system, and emphasize the order of each step and authentic assessment at each step. The model has both properties of circularity and network of activities. At classrooms, the model can be used as various forms according to subjects and student characteristics. STS themes can be appropriately covered by the model.

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Snake Robot Motion Scheme Using Image and Voice (감각 정보를 이용한 뱀 로봇의 행동구현)

  • 강준영;김성주;조현찬;전홍태
    • Proceedings of the IEEK Conference
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    • 2002.06c
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    • pp.127-130
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    • 2002
  • Human's brain action can divide by recognition and intelligence. recognition is sensing voice, image and smell and Intelligence is logical judgment, inference, decision. To this concept, Define function of cerebral cortex, and apply the result. Current expert system is lack, that reasoning by cerebral cortex and thalamus, hoppocampal and so on. In this paper, With human's brain action, wish to embody human's action artificially Embody brain mechanism using Modular Neural Network, Applied this result to snake robot.

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Identification and Phylogeny of the Human Endogenous Retrovirus HERV-W LTR Family in Human Brain cDNA Library and Xq21.3 Region

  • KIM, HEUI-SOO;TIMOTHY J. CRO
    • Journal of Microbiology and Biotechnology
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    • v.12 no.3
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    • pp.508-513
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    • 2002
  • Human endogenous retroviral long terminal repeats (LTRs) have been found to be coexpressed with sequences of genes located nearby. It has been suggested that the LTR elements have contributed to the structural change or genetic variation of human genome connected to various diseases. The HERV-W family has been identified in the cerebrospinal fluids and brains of individuals with schizophrenia. Using a cDNA library derived from a human brain, the HERV-W LTR elements were examined and five new LTR elements were identified. These elements were examined using a YAC clone panel from the Xq21.3 region linked to psychosis that was replicated on the Y chromosome after the separation of the chimpanzee and human lineages. Fourteen elements of the HERV-W LTR were identified in that region. Those LTR elements showed a high degree of sequence similarity ($91.8-99.5\%$) with previously reported HERV-W LTR. A phylogenetic tree obtained from the neighbor-joining method revealed that new HERV-W LTR elements were closely related to the AXt000960, AF072504, and AF072506 from the GenBank database. The data indicates that several copy numbers of the HERV-W LTR elements exist on the Xq21.3 region and are also expressed in the human brain. These LTR elements need to be further investigated as potential leads to neuropsychiatric diseases.

Real-time BCI for imagery movement and Classification for uncued EEG signal (상상 움직임에 대한 실시간 뇌전도 뇌 컴퓨터 상호작용, 큐 없는 상상 움직임에서의 뇌 신호 분류)

  • Kang, Sung-Wook;Jun, Sung-Chan
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.2083-2085
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    • 2009
  • Brain Computer Interface (BCI) is a communication pathway between devices (computers) and human brain. It treats brain signals in real-time basis and discriminates some information of what human brain is doing. In this work, we develop a EEG BCI system using a feature extraction such as common spatial pattern (CSP) and a classifier using Fisher linear discriminant analysis (FLDA). Two-class EEG motor imagery movement datasets with both cued and uncued are tested to verify its feasibility.

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