• Title/Summary/Keyword: Software Profiling

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Proteome characterization of hormone-induced diploid and tetraploid roots of Platycodon grandiflorum

  • Kwon, Soo Jeong;Roy, Swapan Kumar;Cho, Seong-Woo;Kim, Hag Hyun;Boo, Hee Ock;Song, Beom-Heon;Woo, Sun-Hee
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.132-132
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    • 2017
  • Plants, including Platycodon grandiflorum have been used globally across varied cultures as a safe natural source of medicines. From time immemorial, humans have relied on plants that could meet their basic necessities such as food, shelter, fuel and health. This study was executed to profile proteins from the hormone induced diploid and tetraploid roots using high throughput proteome approach. Two dimensional gels stained with CBB, a total of 64 differential expressed proteins were identified from the diploid root using image analysis by Progenesis SameSpot software. Out of total differential expressed spots, 20 differential expressed protein spots ( ${\geq}1.5-fold$) were analyzed using LTQ-FTICR MS whereas a total of 13 protein spots were up regulated and 7 protein spots were down-regulated. However, in the case of tetraploid root, a total of 78 differential expressed proteins were identified from tetraploid root of which a total of 28 differential expressed protein spots (${\geq}1.5-fold$) were analyzed by mass spectrometry whereas a total of 16 protein spots were up regulated and a total of 12 protein spots were down-regulated. However, proteins identified using iProClass databases revealed that the identified proteins from the explants were mainly associated with the nucleic acid binding, oxidoreductase activity, transporter activity and isomers activity. The exclusive protein profile may provide insight clues for better understanding the characteristics of protein function and its metabolic activity that can help for the development of the nutritional and breeding aspects of this economically important medicinal plant.

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Comparative proteome analysis of diploid and tetraploid root in Platycodon grandiflorum

  • Kwon, Soo Jeong;Roy, Swapan Kumar;Yoo, Jang-Hawan;Cho, Seong-Woo;Kim, Hag Hyun;Boo, Hee Ock;Woo, Sun-Hee
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.123-123
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    • 2017
  • In spite of the potential medicinal significance and a wide range of pharmacologic properties of Platycodon grandiflorum, the molecular mechanism of its roots is still unknown. The present study was conducted to profile proteins from 3, 4 and 5 months aged diploid and tetraploid roots of Platycodon grandiflorum using high throughput proteome approach. Two-dimensional gels stained with CBB, a total of 68 differential expressed proteins were identified from the diploid root out of 767 protein spots using image analysis by Progenesis SameSpot software. Out of total differential expressed spots, 29 differential expressed protein spots (${\geq}2-fold$) were analyzed using LTQ-FTICR MS whereas a total of 24 protein spots were up-regulated and 5 protein spots were down-regulated. On the contrary, in the case of tetraploid root, a total of 86 differential expressed proteins were identified from tetraploid root out of 1033 protein spots of which a total of 39 differential expressed protein spots (${\geq}2-fold$) were analyzed using LTQ-FTICR MS whereas a total of 21 protein spots were up-regulated and a total of 18 protein spots were down-regulated. It was revealed that the identified proteins from the explants were mainly associated with the nucleotide binding, oxidoreductase activity, transferase activity. Taken together, the identified proteins may be helpful to identify key candidate proteins for genetic improvement of plants.

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Phosphatidylinositol 3-kinase (PI3KCA) Oncogene Mutation Analysis and Gene Expression Profiling in Primary Breast Cancer Patients

  • Kandula, Mahesh;Chennaboina, Kalyan Kumar;Ammi Raju, Y.S.;Raju, Suryanarayana
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.9
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    • pp.5067-5072
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    • 2013
  • Background: The phosphatidylinositol 3-kinase (PI3K) pathway plays a significant role in apoptosis, cellular proliferation and motility. The aim of the present study was to analyze mutations and gene expression profiles of the PI3KCA gene to determine any role in breast carcinomas. Materials and Methods: We analyzed 38 breast cancers for mutations in the two PIK3CA hotspots in exons 9 and 20 by direct sequencing of DNA obtained from biopsy samples. We have also analyzed expression of the PI3KCA gene in 38 breast carcinoma tumor and corresponding control tissue samples at the mRNA level by RT-PCR. The Fisher's exact test ($2{\times}2$ only) was performed using MedCalc software for to examine associations with mRNA levels. Results: In the present study a total of 13 cases demonstrated somatic mutations. In 9/13 cases 1633 G>A (E545K) were found in exon 9, whereas in exon 20, 4/13 cases had 3140A>G mutation. Our combined analysis showed PI3KCA mutations present in 34% of human breast cancer patients. In our study, we have also clearly found significantly higher expression in breast cancer tissues in comparison with control tissues (p=0.001). Conclusions: PIK3CA mutation is an emerging tumor marker that, in the future, might be used in the process of choosing a treatment. The detection of PI3KCA mutation might have important clinical implications for diagnosis, progression and therapy.

Proposal for enhancement of managing missing cases: through analysis of newspaper articles (실종 대응체계 개선방안에 관한 연구: 언론기사분석을 중심으로)

  • Lee, Young-Lim;Lee, Kwon Cheol
    • Journal of Digital Convergence
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    • v.18 no.4
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    • pp.91-100
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    • 2020
  • The purpose of this article was to propose improvement of countermeasure for missing person cases. While current related other studies examined practice of the countermeasure from inner viewpoint of police authorities itself, this study focused on and analyzed concern or criticism expressed through mass media, outside of the authorities. For this purpose, we analyzed newspaper articles dealing with missing person issued during past 5 years with qualitative data analysis software. The analysis revealed that civil community demands immediacy of coping with missing, phased expertise, systemicity of the countermeasure, improvement of relating policy, and active liaison with community. According to the needs, we proposed advancing risk assessment procedure, enlarging dedicated team for missing case, improving profiling-input system, adding duty for family of missing person, and enhancing of function of control tower.

Personalized Search Technique using Users' Personal Profiles (사용자 개인 프로파일을 이용한 개인화 검색 기법)

  • Yoon, Sung-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.3
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    • pp.587-594
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    • 2019
  • This paper proposes a personalized web search technique that produces ranked results reflecting user's query intents and individual interests. The performance of personalized search relies on an effective users' profiling strategy to accurately capture their interests and preferences. User profile is a data set of words and customized weights based on recent user queries and the topic words of web documents from their click history. Personal profile is used to expand a user query to the personalized query before the web search. To determine the exact meaning of ambiguous queries and topic words, this strategy uses WordNet to calculate semantic similarities to words in the user personal profile. Experimental results with query expansion and re-ranking modules installed on general search systems shows enhanced performance with this personalized search technique in terms of precision and recall.

A study of extended processor trace decoder structure for malicious code detection (악성코드 검출을 위한 확장된 프로세서 트레이스 디코더 구조 연구)

  • Kang, Seungae;Kim, Youngsoo;Kim, Jonghyun;Kim, Hyuncheol
    • Convergence Security Journal
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    • v.18 no.5_1
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    • pp.19-24
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    • 2018
  • For a long time now, general-purpose processors have provided dedicated hardware / software tracing modules to provide developers with tools to fix bugs. A hardware tracer generates its enormous data into a log that is used for both performance analysis and debugging. Processor Trace (PT) is a new hardware-based tracing feature for Intel CPUs that traces branches executing on the CPU, which allows the reconstruction of the control flow of all executed code with minimal labor. Hardware tracer has been integrated into the operating system, which allows tight integration with its profiling and debugging mechanisms. However, in the Windows environment, existing studies related to PT focused on decoding only one flow in sequence. In this paper, we propose an extended PT decoder structure that provides basic data for real-time trace and malicious code detection using the functions provided by PT in Windows environment.

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Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis

  • Yang, Xitong;Yan, Shanquan;Wang, Pengyu;Wang, Guangming
    • Journal of Korean Neurosurgical Society
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    • v.65 no.5
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    • pp.697-709
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    • 2022
  • Objective : The present study aimed to identify the function of ischemic stroke (IS) patients' peripheral blood and its role in IS, explore the pathogenesis, and provide direction for clinical research progress by comprehensive bioinformatics analysis. Methods : Two datasets, including GSE58294 and GSE22255, were downloaded from Gene Expression Omnibus database. GEO2R was utilized to obtain differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed using the database annotation, visualization and integrated discovery database. The protein-protein interaction (PPI) network of DEGs was constructed by search tool of searching interactive gene and visualized by Cytoscape software, and then the Hub gene was identified by degree analysis. The microRNA (miRNA) and miRNA target genes closely related to the onset of stroke were obtained through the miRNA gene regulatory network. Results : In total, 36 DEGs, containing 27 up-regulated and nine down-regulated DEGs, were identified. GO functional analysis showed that these DEGs were involved in regulation of apoptotic process, cytoplasm, protein binding and other biological processes. KEGG enrichment analysis showed that these DEGs mediated signaling pathways, including human T-cell lymphotropic virus (HTLV)-I infection and microRNAs in cancer. The results of PPI network and cytohubba showed that there was a relationship between DEGs, and five hub genes related to stroke were obtained : SOCS3, KRAS, PTGS2, EGR1, and DUSP1. Combined with the visualization of DEG-miRNAs, hsa-mir-16-5p, hsa-mir-181a-5p and hsa-mir-124-3p were predicted to be the key miRNAs in stroke, and three miRNAs were related to hub gene. Conclusion : Thirty-six DEGs, five Hub genes, and three miRNA were obtained from bioinformatics analysis of IS microarray data, which might provide potential targets for diagnosis and treatment of IS.

Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Big Data (정형 비정형 빅데이터의 융합분석을 위한 소비 트랜드 플랫폼 개발)

  • Kim, Sunghyun;Chang, Sokho;Lee, Sangwon
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.133-143
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    • 2017
  • Data is the most important asset in the financial sector. On average, 71 percent of financial institutions generate competitive advantage over data analysis. In particular, in the card industry, the card transaction data is widely used in the development of merchant information, economic fluctuations, and information services by analyzing patterns of consumer behavior and preference trends of all customers. However, creation of new value through fusion of data is insufficient. This study introduces the analysis and forecasting of consumption trends of credit card companies which convergently analyzed the social data and the sales data of the company's own. BC Card developed an algorithm for linking card and social data with trend profiling, and developed a visualization system for analysis contents. In order to verify the performance, BC card analyzed the trends related to 'Six Pocket' and conducted th pilot marketing campaign. As a result, they increased marketing multiplier by 40~100%. This study has implications for creating a methodology and case for analyzing the convergence of structured and unstructured data analysis that have been done separately in the past. This will provide useful implications for future trends not only in card industry but also in other industries.

VLSI Design of Interface between MAC and PHY Layers for Adaptive Burst Profiling in BWA System (BWA 시스템에서 적응형 버스트 프로파일링을 위한 MAC과 PHY 계층 간 인터페이스의 VLSI 설계)

  • Song Moon Kyou;Kong Min Han
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.1
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    • pp.39-47
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    • 2005
  • The range of hardware implementation increases in communication systems as high-speed processing is required for high data rate. In the broadband wireless access (BWA) system based on IEEE standard 802.16 the functions of higher part in the MAC layer to Provide data needed for generating MAC PDU are implemented in software, and the tasks from formatting MAC PDUs by using those data to transmitting the messages in a modem are implemented in hardware. In this paper, the interface hardware for efficient message exchange between MAC and PHY layers in the BWA system is designed. The hardware performs the following functions including those of the transmission convergence(TC) sublayer; (1) formatting TC PDU(Protocol data unit) from/to MAC PDU, (2) Reed-solomon(RS) encoding/decoding, and (3) resolving DL MAP and UL MAP, so that it controls transmission slot and uplink and downlink traffic according to the modulation scheme of burst profile. Also, it provides various control signal for PHY modem. In addition, the truncated binary exponential backoff (TBEB) algorithm is implemented in a subscriber station to avoid collision on contention-based transmission of messages. The VLSI architecture performing all these functions is implemented and verified in VHDL.

Gene Expression Profiling of Genotoxicity Induced by MNNG in TK6 Cell

  • Suh, Soo-Kyung;Kim, Tae-Gyun;Kim, Hyun-Ju;Koo, Ye-Mo;Lee, Woo-Sun;Jung, Ki-Kyung;Jeong, Youn-Kyoung;Kang, Jin-Seok;Kim, Joo-Hwan;Lee, Eun-Mi;Park, Sue-Nie;Kim, Seung-Hee;Jung, Hai-Kwan
    • Molecular & Cellular Toxicology
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    • v.3 no.2
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    • pp.98-106
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    • 2007
  • Genotoxic stress triggers a variety of biological responses including the transcriptional activation of genes regulating DNA repair, cell survival and cell death. In this study, we investigated to examine gene expression profiles and genotoxic response in TK6 cells treated with DNA damaging agents MNNG (N-methyl-N'-nitrosoguanidine) and hydrogen peroxide $(H_2O_2)$. We extracted total RNA in three independent experiments and hybridized cRNA probes with oligo DNA chip (Applied Biosystems Human Genome Survey Microarray). We analyzed raw signal data with R program and AVADIS software and identified a number of deregulated genes with more than 1.5 log-scale fold change and statistical significancy. We indentified 14 genes including G protein alpha 12 showing deregulation by MNNG. The deregulated genes by MNNG represent the biological pathway regarding MAP kinase signaling pathway. Hydrogen peroxide altered 188 genes including sulfiredoxins. These results show that MNNG and $H_2O_2$ have both uniquely regulated genes that provide the potential to serve as biomarkers of exposure to DNA damaging agents.