• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.137-140
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• 2003

This paper proposes a pursuing system utilizing the learning method where multiple cooperating agents emulate social behaviors of animals and insects and realize their group behaviors. Each agent contains sensors to perceive other agents in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used fir behavior decision controller. The input of the neural network is decided by the existence of other agents and the distance to the other agents. The output determines the directions in which the agent moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation.

• Bioinformatics and Biosystems
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• v.2 no.2
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• pp.52-57
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• 2007

The computational discovery of transcription factor binding site is one of the important tools in the genetic and genomic analysis. Rough prediction of gene regulation network and finding possible co-regulated genes are typical applications of the technique. Countless motif-discovery algorithms have been proposed for the past years. However, there is no dominant algorithm yet. Each algorithm does not give enough accuracy without extensive information. In this paper, we explore the possibility of combining multiple algorithms for the one integrated result in order to improve the performance and the convenience of researchers. Moreover, we apply new high order information that is reorganized from the set of basis predictions to the final prediction.

• Kidney Research and Clinical Practice
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• v.37 no.4
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• pp.315-322
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• 2018

The high mortality rates associated with acute kidney injury are mainly due to extra-renal complications that occur following distant-organ involvement. Damage to these organs, which is commonly referred to as multiple organ dysfunction syndrome, has more severe and persistent effects. The brain and its sub-structures, such as the hippocampus, are vulnerable organs that can be adversely affected. Acute kidney injury may be associated with numerous brain and hippocampal complications, as it may alter the permeability of the blood-brain barrier. Although the pathogenesis of acute uremic encephalopathy is poorly understood, some of the underlying mechanisms that may contribute to hippocampal involvement include the release of multiple inflammatory mediators that coincide with hippocampus inflammation and cytotoxicity, neurotransmitter derangement, transcriptional dysregulation, and changes in the expression of apoptotic genes. Impairment of brain function, especially of a structure that has vital activity in learning and memory and is very sensitive to renal ischemic injury, can ultimately lead to cognitive and functional complications in patients with acute kidney injury. The objective of this review was to assess these complications in the brain following acute kidney injury, with a focus on the hippocampus as a critical region for learning and memory.

• Molecules and Cells
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• v.46 no.2
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• pp.106-119
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• 2023

With the increased number of single-cell RNA sequencing (scRNA-seq) datasets in public repositories, integrative analysis of multiple scRNA-seq datasets has become commonplace. Batch effects among different datasets are inevitable because of differences in cell isolation and handling protocols, library preparation technology, and sequencing platforms. To remove these batch effects for effective integration of multiple scRNA-seq datasets, a number of methodologies have been developed based on diverse concepts and approaches. These methods have proven useful for examining whether cellular features, such as cell subpopulations and marker genes, identified from a certain dataset, are consistently present, or whether their condition-dependent variations, such as increases in cell subpopulations in particular disease-related conditions, are consistently observed in different datasets generated under similar or distinct conditions. In this review, we summarize the concepts and approaches of the integration methods and their pros and cons as has been reported in previous literature.

• Journal of Life Science
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• v.12 no.5
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• pp.610-621
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• 2002

Conserved genes are importantly used to understand the major function in survival and replication of living organism. This study was focused on identification of conserved genes in microbial species and measuring the degree of conservation. For this purpose, in silico analysis was performed to search conserved genes based on the conservation level within microbial species. The ortholog list of COGs (Clusters of Orthologous Groups of proteins) in NCBI was used and whole genomes of 43 microbial species were included in that list. The distance value, derived from CLUSTALW multiple alignment program, was used as a descriptor of the conservation level of orthologs. It was revealed that 43 microbial genomes hold 72 conserved orthologs in common. The majority(72.2%) of the conserved genes was related to "translation, ribosomal structure and biogenesis" functional category. A GTPase-translation elogation factor(COG0050) was the best conserved gene from the distance value analysis. The 72 conserved genes, found in this research, would be useful not only to study minimal function genes but also new drug target among pathogens and to make a model of the virtual cell.tual cell.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.6
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• pp.771-781
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• 2015

Thoroughbred, a relatively recent horse breed, is best known for its use in horse racing. Although myostatin (MSTN) variants have been reported to be highly associated with horse racing performance, the trait is more likely to be polygenic in nature. The purpose of this study was to identify genetic variants strongly associated with racing performance by using estimated breeding value (EBV) for race time as a phenotype. We conducted a two-stage genome-wide association study to search for genetic variants associated with the EBV. In the first stage of genome-wide association study, a relatively large number of markers (~54,000 single-nucleotide polymorphisms, SNPs) were evaluated in a small number of samples (240 horses). In the second stage, a relatively small number of markers identified to have large effects (170 SNPs) were evaluated in a much larger number of samples (1,156 horses). We also validated the SNPs related to MSTN known to have large effects on racing performance and found significant associations in the stage two analysis, but not in stage one. We identified 28 significant SNPs related to 17 genes. Among these, six genes have a function related to myogenesis and five genes are involved in muscle maintenance. To our knowledge, these genes are newly reported for the genetic association with racing performance of Thoroughbreds. It complements a recent horse genome-wide association studies of racing performance that identified other SNPs and genes as the most significant variants. These results will help to expand our knowledge of the polygenic nature of racing performance in Thoroughbreds.

• Journal of Animal Science and Technology
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• v.57 no.8
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• pp.28.1-28.7
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• 2015

Background: The physiologic characteristics of the cashmere trait and many of the differentially expressed genes relevant to hair cycling have been extensively studied, whereas genes involved in the prenatal development of hair follicles have been poorly investigated in cashmere goats. The aim of this study, therefore, was to quantify the time-course changes in the expressions of $TR{\alpha}$ and CRABPII genes in the fetal skin of Chinese cashmere goats at the multiple embryonic days (E70, E75, E80, E90, E100, E120 and E130) using real-time quantitative PCR (RT-qPCR). Results: RT-qPCR showed that $TR{\alpha}$ was expressed at E70 with relatively high level and then slightly decreased (E75, E80, and E90). The highest expression of $TR{\alpha}$ mRNA was revealed at E130 (P > 0.05). The expression pattern of CRABPII mRNA showed an 'up-down-up' trend, which revealed a significantly highest expression at E75 (P < 0.05) and was down-regulated during E80 to E120 (P < 0.05) and mildly increased at E130, subsequently. Conclusion: This study demonstrated that $TR{\alpha}$ and CRABPII genes expressed in different levels during prenatal development of cashmere. The present study will be helpful to provide the comprehensive understanding of $TR{\alpha}$ and CRABPII genes expressions during cashmere formation and lay the ground for further studies on their roles in regulation of cashmere growth in goats.

• Journal of Embryo Transfer
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• v.33 no.4
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• pp.195-203
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• 2018

Interferon-tau (IFNT) is known as a major conceptus protein that signals the process of maternal recognition of pregnancy in ruminants. Also, multiple interferon genes exist in cattle, However, molecular mechanisms of these bovine IFNT (bIFNT) genes whose expressions are limited have not been characterized. We and others have observed that expression levels of bovine subtype IFNT genes in the tissues of ruminants; thus, bIFNT1 and other new type I (bIFNTc1/c2/c3) gene co-exist during the early stages of conceptus development and non-trophoblast cells. Its genes transcription could be regulated through CDX2 and ETS2 and JUN and/or cAMP-response element binding protein (CREB)-binding protein (CREBBP) expression, a transcription factor implicated in the control of cell differentiation in the trophectoderm. Bovine ear-derived fibroblast cells, were co-transfected with luciferase reporter constructs carrying upstream (positions -1000 to +51) regions of bIFNT1 and other new type I gene and various transcription factor expression plasmids. Compared to each - 1kb-bIFNT1/c1/c2/c3-Luc increased when this constructs were co-transfected with CDX2, ETS2, JUN and/or CREBBP. Also, Its genes was had very effect on activity by CDX2, either alone or with the other transcription factors, markedly increased luciferase activity. However, the degree of transcriptional activation of the bIFNTc1 gene was not similar to that bIFNT1/c2/c3 gene by expression plasmid. Furthermore, Sequence analyses also revealed that the expression levels of bIFNT1/c2/c3 gene mRNAs expression were highest on day 17, 20 and 22 trophoblast and, Madin-Darby bovine kidney (MDBK), Bovine ear-derived fibroblast (EF), and endometrium (Endo) non-trophoblast cells. But, bIFNTc1 mRNA had not same expression level, bIFNTc1 lowest levels than those of IFNT1/c2/c3 gene in both trophoblast and non-trophoblast cells. These results demonstrate that bovine subtype bIFNT genes display differential, in the trophoblast and non-trophoblast cells.

• BMB Reports
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• v.44 no.1
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• pp.11-21
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• 2011

During the last decade small regulatory RNA (srRNA) emerged as central players in the regulation of gene expression in all kingdoms of life. Multiple pathways for srRNA biogenesis and diverse mechanisms of gene regulation may indicate that srRNA regulation evolved independently multiple times. However, small RNA pathways share numerous properties, including the ability of a single srRNA to regulate multiple targets. Some of the mechanisms of gene regulation by srRNAs have significant effect on the abundance of free srRNAs that are ready to interact with new targets. This results in indirect interactions among seemingly unrelated genes, as well as in a crosstalk between different srRNA pathways. Here we briefly review and compare the major srRNA pathways, and argue that the impact of srRNA is always at the system level. We demonstrate how a simple mathematical model can ease the discussion of governing principles. To demonstrate these points we review a few examples from bacteria and animals.

• Animal cells and systems
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• v.2 no.2
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• pp.153-164
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• 1998

Cytokines regulate proliferation, differentiation and functions of haemotopoietic cells. Each cytokine possesses a variety of activities on various target cells (pleiotropy) and various cytokines have similar and overlapping activities on the same target cells (redundancy). The nature of these cytokine activities predicts unique feature of cytokine receptors, namely, cytokine has multiple receptors, different cytokines share a common receptor, and different cytokine receptors are linked to common signaling pathways. cDNA cloning of genes for cytokine receptors revealed distinct sets of receptor family with different structural features. The cytokine receptor superfamily consists of a largest family, and contains more than twenty cytokine receptor subunits. This receptor has common structural features in both extracellular and intracellular regions without tyrosine kinase domain. Another striking feature of the receptor is to share common subunit of multiple cytokines, which partly explains the redundancy of activities of some cytokines. Recent studies revealed detailed signaling events of the cytokine receptor, the primary activation of JAK and subsequent phosphorylation of tyrosine residues of receptor, and various cellular proteins. Many SH2 containing adapter proteins play an important role in cytokine signals, and this system has similarities with tyrosine kinase receptor signal transduction. STAT may mainly account for cytokine specific functions as suggested by knockout mice studies. It is of importance to note that cytokine activates multiple signaling pathways and the balance and combination of related signaling events may determine the specificity of functions of cytokines.