• 대한의생명과학회지
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• 제11권3호
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• pp.311-318
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• 2005

Grp78, discovered as one of the putative target genes of Hoxc8, is a highly conserved stress protein and functions as a molecular chaperone in the endoplasmic reticulum (ER). In order to see the stage-specific expression pattern of Grp78 during development, mouse embryos from day 7.5 to 17.5 p.c. were isolated, and RT-PCR as well as in situ hybridization was performed. When RT-PCR was performed using Grp78 specific primers, periodic expression pattern was detected. And also a region-specific expression pattern was detected with a strong expression in the trunk part of day 11.5 p.c. embryo, like that of Hoxc8. When in situ hybridization was performed, Grp78 was revealed to be expressed in the endoderm, somite, neuroepithelium cells of neural tube in early embryos. In the case of late embryos, Grp78 expression was detected in the liver, segmental bronchus within cranial lobe of lung, ossification center within the cartilage primordium of rib and vertebra, submandibular gland, as well as metanephros. These expression patterns are very much similar to those of Hoxc8. Since Hoxc8 has been reported to regulate apoptosis during organogenesis, it might be possible that the apoptotic function could have been conveyed through the expression of Grp78, implying that the Grp78 is one of the Hoxc8 downstream target genes.

• 대한핵의학회지
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• 제37권1호
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• pp.43-52
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• 2003

Microarray technology allows the simultaneous analysis of gene expression patterns of thousands of genes, in a systematic fashion, under a similar set of experimental conditions, thus making the data highly comparable. In some cases arrays are used simply as a primary screen loading to downstream molecular characterization of individual gene candidates. In other cases, the goal of expression profiling is to begin to identify complex regulatory networks underlying developmental processes and disease states. Microarrays were originally used with ceil lines or other simple model systems. More recently, microarrays have been used in the analysis of more complex biological tissues including neural systems and the brain. The application of cDNA arrays in neuropsychiatry has lagged behind other fields for a number of reasons. These include a requirement for a large amount of input probe RNA In fluorescent-glass based array systems and the cellular complexity introduced by multicellular brain and neural tissues. An additional factor that impacts the general use of microarrays in neuropsychiatry is the lack of availability of sequenced clone sets from model systems. While human cDNA clones have been widely available, high qualify rat, mouse, and drosophilae, among others are just becoming widely available. A final factor in the application of cDNA microarrays in neuropsychiatry is cost of commercial arrays. As academic microarray facilitates become more commonplace custom made arrays will become more widely available at a lower cost allowing more widespread applications. in summary, microarray technology is rapidly having an impact on many areas of biomedical research. Radioisotope-nylon based microarrays offer alternatives that may in some cases be more sensitive, flexible, inexpensive, and universal as compared to other array formats, such as fluorescent-glass arrays. In some situations of limited RNA or exotic species, radioactive membrane microarrays may be the most practical experimental approach in studying psychiatric and neurodegenerative disorders, and other complex questions in the brain.

• BMB Reports
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• 제54권6호
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• pp.317-322
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• 2021

CCCTC-binding factor (CTCF), a zinc finger protein, is a transcription factor and regulator of chromatin structure. Forebrain excitatory neuron-specific CTCF deficiency contributes to inflammation via enhanced transcription of inflammation-related genes in the cortex and hippocampus. However, little is known about the long-term effect of CTCF deficiency on postnatal neurons, astrocytes, or microglia in the hippocampus of adult mice. To address this, we knocked out the Ctcf gene in forebrain glutamatergic neurons (Ctcf cKO) by crossing Ctcf-floxed mice with Camk2a-Cre mice and examined the hippocampi of 7.5-10-month-old male mice using immunofluorescence microscopy. We found obvious neuronal cell death and reactive gliosis in the hippocampal cornu ammonis (CA)1 in 7.5-10-month-old cKO mice. Prominent rod-shaped microglia that participate in immune surveillance were observed in the stratum pyramidale and radiatum layer, indicating a potential increase in inflammatory mediators released by hippocampal neurons. Although neuronal loss was not observed in CA3, and dentate gyrus (DG) CTCF depletion induced a significant increase in the number of microglia in the stratum oriens of CA3 and reactive microgliosis and astrogliosis in the molecular layer and hilus of the DG in 7.5-10-month-old cKO mice. These results suggest that long-term Ctcf deletion from forebrain excitatory neurons may contribute to reactive gliosis induced by neuronal damage and consequent neuronal loss in the hippocampal CA1, DG, and CA3 in sequence over 7 months of age.

• The Plant Pathology Journal
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• 제22권3호
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• pp.203-210
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• 2006

Fumonisins are a group of mycotoxins produced by a pathogen Fusarium verticillioides in infected maize kernels. Consumption of fumonisin-contaminated maize has been implicated in a number of animal and human illnesses, including esophageal cancer and neural tube defects. Since the initial discovery, chemistry, toxicology, and biology of fumonisins as well as the maize-Fusarium pathosystem have been extensively studied. Furthermore, in the past decade, significant progress has been made in terms of understanding the molecular biology of toxin biosynthetic genes. However, there is a critical gap in our understanding of the regulatory mechanisms involved in fumonisin biosynthesis. Here, we review and discuss our current knowledge about the molecular mechanisms by which fumonisin biosynthesis is regulated in F. verticillioides. In addition, we discuss the impact of maize kernel environment, particularly sugar and lipid molecules, on fumonisin biosynthesis.

• 한국정보통신학회논문지
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• 제14권10호
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• pp.2365-2370
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• 2010

마이크로어레이를 기반으로 하는 암 분류 방법은 암 종류에 따라 다르게 발현되는 유전자 양상을 통계적으로 발견함으로써 정확한 암 분류에 기여할 수 있다. 따라서 현재의 마이크로어레이 기술을 이용해서 효과적으로 암을 분류하기 위해서는 특정 암과 밀접하게 관련이 있는 정보력 있는 유전자를 선택하는 과정이 필수적이다. 본 논문에서는 난소 암 마이크로어레이 데이터를 이용하여 암에 영향을 미치는 가장 다르게 발현할 가능성이 있는 표지 유전자를 추출할 수 있는 시스템을 고안하고, 다층퍼셉트론 분류기를 이용하여 기존의 마이크로어레이 시스템과 분류 성능을 비교분석하였다. 그 결과 ANOVA를 이용하여 선택된 표지 유전자를 포함하는 마이크로어레이 데이터 셋에서 98.61%의 향상된 분류 성능을 보였다.

• Molecules and Cells
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• 제41권10호
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• pp.881-888
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• 2018

During the cortical development, cells in the brain acquire somatic mutations that can be implicated in various neurodevelopmental disorders. There is increasing evidence that brain somatic mutations lead to sporadic form of epileptic disorders with previously unknown etiology. In particular, malformation of cortical developments (MCD), ganglioglioma (GG) associated with intractable epilepsy and non-lesional focal epilepsy (NLFE) are known to be attributable to brain somatic mutations in mTOR pathway genes and others. In order to identify such somatic mutations presenting as low-level in epileptic brain tissues, the mutated cells should be enriched and sequenced with high-depth coverage. Nevertheless, there are a lot of technical limitations to accurately detect low-level of somatic mutations. Also, it is important to validate whether identified somatic mutations are truly causative for epileptic seizures or not. Furthermore, it will be necessary to understand the molecular mechanism of how brain somatic mutations disturb neuronal circuitry since epilepsy is a typical example of neural network disorder. In this review, we overview current genetic techniques and experimental tools in neuroscience that can address the existence and significance of brain somatic mutations in epileptic disorders as well as their effect on neuronal circuitry.

• 대한화장품학회지
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• 제25권2호
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• pp.45-57
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• 1999

멜라닌세포는 신경능에서 기원한 세포로서 멜라닌을 생성하여 피부를 자외선으로부터 보호하는 중요한 기능을 수행하고 있다. 멜라닌세포는 수지상 돌기를 갖는 등 신경세포와 형태학적으로 유사하며 많은 신호 전달 물질, 성장 인자 등에 대한 수용체를 공통적으로 갖고 있어 발생학적 기원이 신경 세포와 같음을 보여주는 많은 특징들이 있다. 멜라닌세포는 자외선, 염증 등의 외부조건, alpha-MSH 등의 호르몬, IL-1, TNF-alpha, GM-CSF 등 의 싸이토카인, leukotriene 등 여러 가지 인자의 영향을 받고 있다. 또한 멜라닌세포로부터 멜라닌이 생성되기 위해서는 tyrosinase, TRP-1, TRP-2 등 여러 가지 유전자와 그에 해당하는 효소들의 작용, 또한 멜라닌이 각질형성세포로 이동하는 과정에 역시 여러 종류 의 유전자가 관여하고 있어 피부의 색소형성 과정을 이해하기 위해서는 이러한 과정을 복합적으로 이해하여야 한다(그림 1). 그러나 아직까지 멜라닌세포의 멜라닌 형성 과정과 증식, 사망 과정이 정확히 어떻게 진행되는지에 대한 연구가 부족한 실정이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.755-778
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• 2024

In recent years, the number of devices being connected to the internet has grown enormously, as has the intrusive behavior in the network. Thus, it is important for intrusion detection systems to report all intrusive behavior. Using deep learning and machine learning algorithms, intrusion detection systems are able to perform well in identifying attacks. However, the concern with these deep learning algorithms is their inability to identify a suitable network based on traffic volume, which requires manual changing of hyperparameters, which consumes a lot of time and effort. So, to address this, this paper offers a solution using the extended compact genetic algorithm for the automatic tuning of the hyperparameters. The novelty in this work comes in the form of modeling the problem of identifying attacks as a multi-objective optimization problem and the usage of linkage learning for solving the optimization problem. The solution is obtained using the feature map-based Convolutional Neural Network that gets encoded into genes, and using the extended compact genetic algorithm the model is optimized for the detection accuracy and latency. The CIC-IDS-2017 and 2018 datasets are used to verify the hypothesis, and the most recent analysis yielded a substantial F1 score of 99.23%. Response time, CPU, and memory consumption evaluations are done to demonstrate the suitability of this model in a fog environment.

• Journal of Plant Biotechnology
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• 제33권3호
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• pp.195-207
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• 2006

Stem cells are the primordial, initial cells which usually divide asymmetrically giving rise to on the one hand self-renewals and on the other hand progenitor cells with potential for differentiation. Zygote (fertilized egg), with totipotency, deserves the top-ranking stem cell - he totipotent stem cell (TSC). Both the ICM (inner cell mass) taken from the 6 days-old human blastocyst and ESC (embryonic stem cell) derived from the in vitro cultured ICM have slightly less potency for differentiation than the zygote, and are termed pluripotent stem cells. Stem cells in the tissues and organs of fetus, infant, and adult have highly reduced potency and committed to produce only progenitor cells for particular tissues. These tissue-specific stem cells are called multipotent stem cells. These tissue-specific/committed multipotent stem cells, when placed in altered environment other than their original niche, can yield cells characteristic of the altered environment. These findings are certainly of potential interest from the clinical, therapeutic perspective. The controversial terminology 'somatic stem cell plasticity' coined by the stem cell community seems to have been proved true. Followings are some of the recent knowledges related to the stem cell. Just as the tissues of our body have their own multipotent stem cells, cancerous tumor has undifferentiated cells known as cancer stem cell (CSC). Each time CSC cleaves, it makes two daughter cells with different fate. One is endowed with immortality, the remarkable ability to divide indefinitely, while the other progeny cell divides occasionally but lives forever. In the cancer tumor, CSC is minority being as few as 3-5% of the tumor mass but it is the culprit behind the tumor-malignancy, metastasis, and recurrence of cancer. CSC is like a master print. As long as the original exists, copies can be made and the disease can persist. If the CSC is destroyed, cancer tumor can't grow. In the decades-long cancer therapy, efforts were focused on the reducing of the bulk of cancerous growth. How cancer therapy is changing to destroy the origin of tumor, the CSC. The next generation of treatments should be to recognize and target the root cause of cancerous growth, the CSC, rather than the reducing of the bulk of tumor, Now the strategy is to find a way to identify and isolate the stem cells. The surfaces of normal as well as the cancer stem cells are studded with proteins. In leukaemia stem cell, for example, protein CD 34 is identified. In the new treatment of cancer disease it is needed to look for protein unique to the CSC. Blocking the stem cell's source of nutrients might be another effective strategy. The mystery of sternness of stem cells has begun to be deciphered. ESC can replicate indefinitely and yet retains the potential to turn into any kind of differentiated cells. Polycomb group protein such as Suz 12 repress most of the regulatory genes which, activated, are turned to be developmental genes. These protein molecules keep the ESC in an undifferentiated state. Many of the regulator genes silenced by polycomb proteins are also occupied by such ESC transcription factors as Oct 4, Sox 2, and Nanog. Both polycomb and transcription factor proteins seem to cooperate to keep the ESC in an undifferentiated state, pluripotent, and self-renewable. A normal prion protein (PrP) is found throughout the body from blood to the brain. Prion diseases such as mad cow disease (bovine spongiform encephalopathy) are caused when a normal prion protein misfolds to give rise to PrP$^{SC}$ and assault brain tissue. Why has human body kept such a deadly and enigmatic protein? Although our body has preserved the prion protein, prion diseases are of rare occurrence. Deadly prion diseases have been intensively studied, but normal prion problems are not. Very few facts on the benefit of prion proteins have been known so far. It was found that PrP was hugely expressed on the stem cell surface of bone marrow and on the cells of neural progenitor, PrP seems to have some function in cell maturation and facilitate the division of stem cells and their self-renewal. PrP also might help guide the decision of neural progenitor cell to become a neuron.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권10호
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• pp.397-402
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• 2019

암 환자에게 적절한 치료계획을 제공하기 위해 암의 진행양상 또는 환자의 생존 기간 등에 해당하는 환자의 예후를 정확히 예측하는 것은 생물정보학 분야에서 다루는 중요한 도전 과제 중 하나이다. 많은 연구에서 암 환자의 유전자 발현량 데이터를 이용하여 환자의 예후를 예측하는 기계학습 모델들이 많이 제안되어 오고 있다. 유전자 발현량 데이터는 약 17,000개의 유전자에 대한 수치값을 갖는 고차원의 수치형 자료이기에, 기존의 연구들은 특징 선택 또는 차원 축소 전략을 이용하여 예측 모델의 성능 향상을 도모하였다. 그러나 이러한 접근법은 특징 선택과 예측 모델의 훈련이 분리되어 있어서, 기계학습 모델은 선별된 유전자들이 생물학적으로 어떤 관계가 있는지 알기가 어렵다. 본 연구에서는 유전자 발현량 데이터를 이미지 형태로 변환하여 예후 예측이 효과적으로 특징 선택 및 예후 예측을 수행할 수 있는 기법을 제안한다. 유전자들 사이의 생물학적 상호작용 관계를 유전자 발현량 데이터에 통합하기 위해 Node2Vec을 활용하였으며, 2차원 이미지로 표현된 발현량 데이터를 효과적으로 학습할 수 있도록 합성곱 신경망 모델을 사용하였다. 제안하는 모델의 성능은 이중 교차검증을 통해 평가되었고, 유전자 발현량 데이터를 그대로 이용하는 기계학습모델보다 우월한 예후 예측 정확도를 가지는 것이 확인되었다. Node2Vec을 이용한 유전자 발현량의 새로운 이미지 표현법은 특징 선택으로 인한 정보의 손실이 없어 예측 모델의 성능을 높일 수 있으며, 이러한 접근법이 개인 맞춤형 의학의 발전에 이바지할 것으로 기대한다.