• Title/Summary/Keyword: Integrative Analysis Approach

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Identification of Novel Binding Partners for Caspase-6 Using a Proteomic Approach

  • Jung, Ju Yeon;Lee, Su Rim;Kim, Sunhong;Chi, Seung Wook;Bae, Kwang-Hee;Park, Byoung Chul;Kim, Jeong-Hoon;Park, Sung Goo
    • Journal of Microbiology and Biotechnology
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    • v.24 no.5
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    • pp.714-718
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    • 2014
  • Apoptosis is the process of programmed cell death executed by specific proteases, the caspases, which mediate the cleavage of various vital proteins. Elucidating the consequences of this endoproteolytic cleavage is crucial to understanding cell death and other related biological processes. Although a number of possible roles for caspase-6 have been proposed, the identities and functions of proteins that interact with caspase-6 remain uncertain. In this study, we established a cell line expressing tandem affinity purification (TAP)-tagged caspase- 6 and then used LC-MS/MS proteomic analysis to analyze the caspase-6 interactome. Eight candidate caspase-6-interacting proteins were identified. Of these, five proteins (hnRNP-M, DHX38, ASPP2, MTA2, and UACA) were subsequently examined by co-immunoprecipitation for interactions with caspase-6. Thus, we identified two novel members of the caspase-6 interactome: hnRNP-M and MTA2.

An Integrative Review of Oncology Nursing Research in Korea: 2003-2008 (국내 종양간호연구의 분석: 2003-2008)

  • Oh, Pok-Ja
    • Asian Oncology Nursing
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    • v.10 no.1
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    • pp.80-87
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    • 2010
  • Purpose: This study was aimed to analyze the contents and trend of published research in oncology nursing during the past five years in Korea and to suggest the direction for future research. Methods: Using the key words "cancer", "cancer patients", and "tumor", 391 nursing research published from 2003 to 2008 were selected for the analysis. Results: 1) Three hundred fifty-five (90.8%) of the studies used quantitative research approach, whereas most studies were descriptive in nature. 2) The main subjects of the study were cancer patients with mixed diagnosis (36.4%) and breast cancer patients (20.0%). 3) Complementary alternative therapy (28.9%), educational program (25.6%), and psycho-social and spiritual program (16.7%) were the most frequently used nursing interventions. Most frequently measured outcome variables were psycho, socio, and spiritual factors (38.8%), symptoms (28.2%) and physiological factors (14.6%). 4) Most frequently used key words were identified as quality of life, fatigue, coping, pain, anxiety, anorexia, and depression. Conclusion: The number of published research in oncology nursing in Korea has been increased. It is suggested to conduct international studies to develop, compare, and replicate nursing interventions for patients with cancer in future. Increasing funding, establishing research infrastructure, and removing methodological challenges are warranted for better research environment.

A Study on the Avoidance Intention of Social Network Service in Post Adoption Context: Focusing on the Facebook User (Social Network Service 수용 후 사용회피에 관한 연구: 페이스북 사용자를 중심으로)

  • Park, Kyungja
    • The Journal of Information Systems
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    • v.24 no.1
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    • pp.147-168
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    • 2015
  • Why people reduce or stop using social network services(SNS), which are regarded as a mean of relationship and communication, unlike the early trend? To explain the phenomenon, this study tries to predict psychological decision making process of users from perspectives of cognitive dissonance theory. From this perspective, this study attempted an integrative approach that reflected 'User's literacy' indicating the ability of individuals to use SNS, and 'negative mass media influence' such as media reports on side effects or the bad experiences of acquaintances, along with the 3 factors used in the SNS Prior research. This study conducted an empirical analysis by surveying 256 facebook users, and the major findings are as follows:- First, Social-overload, complexity, uncertainty and negative media influence are significantly affect dissonance on the use of SNS. Second, Dissonance on the use of SNS significantly affects the behavior that possibly reduces and limits the use of SNS. In other words, the users who have experienced psychological dissonance respond passively by avoiding the use of SNS to resolve the dissonance. Third, the moderating effect of User's literacy wasn't a significant. This study presents a clue to understand psychological decision making process of use of SNS and a guideline for establishing practical strategies. In addition, it is important to note that this study contributes to expansion of theoretical discussion about usage.

The Relationship between Dynamic Capabilities, Marketing Capabilities, and Environmental Turbulence: An Empirical Study from China

  • ZHANG, Chun Xia;BANG, Ho Yeol
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.529-540
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    • 2021
  • This study proposes a model and attempts to illustrate the relationship between the frequency of dynamic capability utilization and marketing capabilities, and how market, technology, and competitor turbulence may affect these relationships. The findings suggest that in a highly turbulent environment, frequent use of sensing and integration capabilities may cause certain changes in the impact of marketing capabilities, and in a highly competitive environment, marketing capabilities are positively correlated with company performance. The sample consists of 212 enterprises of China with a three-year vertical data span. The partial least square program Smart-PLS was used for data analysis. The careful management of dynamic capabilities (i.e., relational, sensory, and inclusive) is required to address environmental conditions to achieve capacity alignment and ultimately enhance performance. Our findings demonstrate that relationship capabilities are valuable to the organization and might even help improve its sensing and integrating capabilities. In a highly competitive environment, marketing capabilities contribute the most to company performance. The more frequent the environmental turbulence, the higher the impact of integration capabilities on marketing capabilities. This situation necessitates the organization's usage of dynamic capabilities to modify its marketing approach effectively between stable and turbulent environments.

Identification of STAT5a Inhibitors for Breast Cancer Treatment Through In silico Approach

  • Bavya Chandrasekhar;Dona Samuel Karen;Veena Jaganivasan
    • Journal of Integrative Natural Science
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    • v.17 no.1
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    • pp.13-20
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    • 2024
  • Female breast cancer is the fifth highest cause of mortality. Breast cancer is the most prevalent type of cancer in women globally, while it can also affect men. STAT5A plays a role in its development and progression. Given that activation of STAT5a is frequently linked to the growth and progression of tumors, STAT5a has been identified as a possible target for the therapy of several cancers. STAT5A, in particular, has proven to be overexpressed in various breast cancer cell lines and tumors, and it has been associated to the promotion of tumour cell proliferation and survival. STAT5A inhibition has been shown in vitro and in vivo to reduce the development of breast cancer cells. As a result, we have screened compounds from the FDA database that might serve as potential inhibitors of STAT5a through virtual screening, docking, DFT and MD simulation approaches. The drug Nilotinib has shown promising results inhibiting STAT5a. Further, in-vitro analysis will be carried forward to understand the anti-cancer activity.

Integrative Analysis of Microarray Data with Gene Ontology to Select Perturbed Molecular Functions using Gene Ontology Functional Code

  • Kim, Chang-Sik;Choi, Ji-Won;Yoon, Suk-Joon
    • Genomics & Informatics
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    • v.7 no.2
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    • pp.122-130
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    • 2009
  • A systems biology approach for the identification of perturbed molecular functions is required to understand the complex progressive disease such as breast cancer. In this study, we analyze the microarray data with Gene Ontology terms of molecular functions to select perturbed molecular functional modules in breast cancer tissues based on the definition of Gene ontology Functional Code. The Gene Ontology is three structured vocabularies describing genes and its products in terms of their associated biological processes, cellular components and molecular functions. The Gene Ontology is hierarchically classified as a directed acyclic graph. However, it is difficult to visualize Gene Ontology as a directed tree since a Gene Ontology term may have more than one parent by providing multiple paths from the root. Therefore, we applied the definition of Gene Ontology codes by defining one or more GO code(s) to each GO term to visualize the hierarchical classification of GO terms as a network. The selected molecular functions could be considered as perturbed molecular functional modules that putatively contributes to the progression of disease. We evaluated the method by analyzing microarray dataset of breast cancer tissues; i.e., normal and invasive breast cancer tissues. Based on the integration approach, we selected several interesting perturbed molecular functions that are implicated in the progression of breast cancers. Moreover, these selected molecular functions include several known breast cancer-related genes. It is concluded from this study that the present strategy is capable of selecting perturbed molecular functions that putatively play roles in the progression of diseases and provides an improved interpretability of GO terms based on the definition of Gene Ontology codes.

Correlation Extraction from KOSHA to enable the Development of Computer Vision based Risks Recognition System

  • Khan, Numan;Kim, Youjin;Lee, Doyeop;Tran, Si Van-Tien;Park, Chansik
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.87-95
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    • 2020
  • Generally, occupational safety and particularly construction safety is an intricate phenomenon. Industry professionals have devoted vital attention to enforcing Occupational Safety and Health (OHS) from the last three decades to enhance safety management in construction. Despite the efforts of the safety professionals and government agencies, current safety management still relies on manual inspections which are infrequent, time-consuming and prone to error. Extensive research has been carried out to deal with high fatality rates confronting by the construction industry. Sensor systems, visualization-based technologies, and tracking techniques have been deployed by researchers in the last decade. Recently in the construction industry, computer vision has attracted significant attention worldwide. However, the literature revealed the narrow scope of the computer vision technology for safety management, hence, broad scope research for safety monitoring is desired to attain a complete automatic job site monitoring. With this regard, the development of a broader scope computer vision-based risk recognition system for correlation detection between the construction entities is inevitable. For this purpose, a detailed analysis has been conducted and related rules which depict the correlations (positive and negative) between the construction entities were extracted. Deep learning supported Mask R-CNN algorithm is applied to train the model. As proof of concept, a prototype is developed based on real scenarios. The proposed approach is expected to enhance the effectiveness of safety inspection and reduce the encountered burden on safety managers. It is anticipated that this approach may enable a reduction in injuries and fatalities by implementing the exact relevant safety rules and will contribute to enhance the overall safety management and monitoring performance.

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Pain management in periodontal therapy using local anesthetics and other drugs: an integrative review

  • Eduarda Cristina Santos;Daniela Huller;Sabrina Brigola;Marceli Dias Ferreira;Marcia Thais Pochapski;Fabio Andre dos Santos
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.23 no.5
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    • pp.245-256
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    • 2023
  • Background: Surgical and non-surgical periodontal procedures often lead to postoperative pain. Clinicians use pharmacological methods such as anesthetics, anti-inflammatory drugs, and analgesics for relief. However, the multitude of options makes it challenging to select the best approach for routine dental care. Objective: This review aimed to describe previous studies regarding the pharmacological management used for pain control during periodontal procedures as well as factors that may interfere with patients' perception of pain. Methods: We included studies (period of 2000-2023, whose approach corresponded to the pharmacological protocols used for preoperative, trans-operative, and postoperative pain control in adult patients undergoing surgical and non-surgical periodontal therapy. Results: A total of 32 studies were included in the analysis, of which 17 (53%) were related to anesthetic methods and 15 (47%) were related to therapeutic protocols (anti-inflammatory/analgesic agents). These studies predominantly involved nonsurgical periodontal procedures. Studies have reported that factors related to age, type of procedure, and anxiety can influence pain perception; however, only seven of these studies evaluated anxiety. Conclusions: Numerous methods for pain control can be applied in periodontal therapy, which are accomplished through anesthetic methods and/or therapeutic protocols. Factors such as anxiety, age, and type of procedure are related to pain perception in patients. Thus, it is the responsibility of dentists to evaluate each clinical situation and define the best protocol to follow based on the literature.

An In Silico Drug Repositioning Strategy to Identify Specific STAT-3 Inhibitors for Breast Cancer

  • Sruthy Sathish
    • Journal of Integrative Natural Science
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    • v.16 no.4
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    • pp.123-131
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    • 2023
  • Breast cancer continues to pose a substantial worldwide health challenge, thereby requiring the development of innovative strategies to discover new therapeutic interventions. Signal Transducer and Activator of Transcription 3 (STAT-3) has been identified as a significant factor in the development of several types of cancer, including breast cancer. This is primarily attributed to its diverse functions in promoting tumour formation and conferring resistance to therapeutic interventions. This study presents an in silico drug repositioning approach that focuses on identifying specific inhibitors of STAT-3 for the purpose of treating breast cancer. We initially examined the structural and functional attributes of STAT-3, thereby elucidating its crucial involvement in cellular signalling cascades. A comprehensive virtual screening was performed on a diverse collection of drugs that have been approved by the FDA from zinc15 database. Various computational techniques, including molecular docking, cross docking, and cDFT analysis, were utilised in order to prioritise potential candidates. This prioritisation was based on their predicted binding energies and outer molecular orbital reactivity. The findings of our study have unveiled a Dihydroergotamine and Paritaprevir that have been approved by the FDA and exhibit considerable promise as selective inhibitors of STAT-3. In conclusion, the utilisation of our in silico drug repositioning approach presents a prompt and economically efficient method for the identification of potential compounds that warrant subsequent experimental validation as selective STAT-3 inhibitors in the context of breast cancer. The present study highlights the considerable potential of employing computational strategies to expedite the drug discovery process. Moreover, it provides valuable insights into novel avenues for targeted therapeutic interventions in the context of breast cancer treatment.

A Study on the Process of Being Delinquent (청소년 비행화과정에 관한 연구 - 중학생을 중심으로 -)

  • Lee, Ik-Seob;Kim, Geun-Sik
    • Korean Journal of Social Welfare
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    • v.35
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    • pp.319-344
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    • 1998
  • The endeavor to reveal reasons and backgrounds of juvenile's being delinquent has been continuing. Most of them, however, are not multi-dimensional and integrative, but one-dimensional which has had just focused on the factor of family or individual. One of the main purposes of this. study is to get implications on practical programs through the ecological-systematic analysis on factors and processes of juvenile delinquency. In this study, region has separated into two, one is of poor and the other is non, and then informations on factors and process of being delinquent were gathered by comparing between them. Eleven hundreds and sixteen cases were sampled from six junior-high schools which have met the purpose of this study. The survey had been committed with structured questionnaire which had been consisted in several variables; personal; familial; school and peer related; delinquent characteristics. Reliability and validity of each variables had been tested through pilot test. Effects of independent variables on dependent variables were analyzed according to the region through path analysis. In the analysis, remarkable differences on the processes of being delinquent had been found and three path models of being delinquent had been made on the basis of those differences. Each of them has shown different effecting patterns of personal, familial, and school and peer related variables on one's degree of delinquency. In Pattern 1, peer related variables have committed more powerful effects on the degree of delinquency than the others have. School related variables, in Pattern 2, commit most striking effects on the dependent variables. The degree of delinquency in Pattern 3 is most strongly effected by familial variables. The limitations that personal behavior oriented approach might be confronted in the field of juvenile delinquency have been proved by these results of this study. These results have given many implications to us on the needs of distinctive and integrative approaches to the problems of juvenile delinquency.

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