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RISS 인기검색어
- 검색키워드
- 저자 : ( Yeeun Shim ) (검색결과 4 건)
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2PTS: A Two-Phase Task Scheduling Algorithm for MapReduce
LIM, Byungnam,SHIM, Yeeun,CHUNG, Yon Dohn 'Institute of Electronics, Information and Communi 2016 IEICE transactions on information and systems Vol.99e.d No.9
<P>For an efficient processing of large data in a distributed system, Hadoop MapReduce performs task scheduling such that tasks are distributed with consideration of the data locality. The data locality, however, is limitedly exploited, since it is pursued one node at a time basis without considering the global optimality. In this paper, we propose a novel task scheduling algorithm that globally considers the data locality. Through experiments, we show our algorithm improves the performance of MapReduce in various situations.</P>
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( Yoo-na Kim ),( Yeeun Shim ),( Yong Jae Lee ),( Sang Wun Kim ),( Saeam Shin ),( Sunghoon Kim ),( Jong Rak Choi ),( Seung-tae Lee ),( Jung-yun Lee ) 대한산부인과학회 2022 대한산부인과학회 학술대회 Vol.108 No.-
Objective: Understanding and appropriately tailoring therapy for ovarian cancer patients who progress on PARP inhibitor (PARPi) is a pressing agenda. Our objective was to investigate the patient-specific resistance mechanism and its implication on post-progression therapy via serially collected ctDNA. Methods: Patients with BRCA mutated ovarian cancer receiving PARPi were prospectively enrolled since January 2018. Whole blood samples were collected every 3 months. Extracted cell-free DNA were target enriched with TMB500 panel, sequenced with Novaseq 6000 system (Illumina), and analyzed using PiSeq (Dxome). Clinical information, including progression-free survival (PFS) to PARPi and to post-progression therapy (PFS2-PFS1) and overall survival (OS) post-progression, were collected. Results: Serial samples from 54 patients were analyzed. Analysis of pre-PARPi samples showed an improved PFS to PARPi in patients without mutation in resistance mechanism-associated genes. BRCA reversion and hypomorphism were identified in 3 and 1 patients, respectively. Matched samples from 29 patients showed an increased in TMB and a spectrum of post-specific, acquired mutations. These acquired mutations highlighted non-exclusive resistance mechanisms, including HR restoration (28%), replication fork stability (34%), and G1/S defect (i.e., ATM, CHEK2, and TP53, 55%), which were potential targets for ATR inhibitor. Among patients with matched samples, post-progression therapy information were available in 22 patients, including 7 patients receiving PARPi re-treatment. Patients with acquired mutations in HR restoration-associated genes showed poor OS post-progression. Conversely, those without any acquired mutation or with mutations involving single resistance mechanism showed a trend of favorable response to subsequent platinum-based therapy and PARPi re-treatment. Conclusion: Serial ctDNA may help predict response to PARPi as well as provide important prognostic and predictive clues for post-progression therapy in ovarian cancer.
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Sang Chul Park,Hongmin Kim,Yeeun Bak,Dahee Shim,권기웅,Chang-Hoon Kim,윤주헌,신성재 대한천식알레르기학회 2020 Allergy, Asthma & Immunology Research Vol.12 No.3
Purpose: Simple and reliable animal models of human diseases contribute to the understanding of disease pathogenesis as well as the development of therapeutic interventions. Although several murine models to mimic human asthma have been established, most of them require anesthesia, resulting in variability among test individuals, and do not mimic asthmatic responses accompanied by T-helper (Th) 17 and neutrophils. As dendritic cells (DCs) are known to play an important role in initiating and maintaining asthmatic inflammation, we developed an asthma model via adoptive transfer of allergen-loaded DCs. Methods: Ovalbumin (OVA)-loaded bone marrow-derived DCs (BMDCs) (OVA-BMDCs) were injected intravenously 3 times into non-anesthetized C57BL/6 mice after intraperitoneal OVA-sensitization. Results: OVA-BMDC-transferred mice developed severe asthmatic immune responses when compared with mice receiving conventional OVA challenge intranasally. Notably, remarkable increases in systemic immunoglobulin (Ig) E and IgG1 responses, Th2/Th17-associated cytokines (interleukin [IL]-5, IL-13 and IL-17), Th2/Th17-skewed T-cell responses, and cellular components, including eosinophils, neutrophils, and goblet cells, were observed in the lungs of OVA-BMDC-transferred mice. Moreover, the asthmatic immune responses and severity of inflammation were correlated with the number of OVA-BMDCs transferred, indicating that the disease severity and asthma type may be adjusted according to the experimental purpose by this method. Furthermore, this model exhibited less variation among the test individuals than the conventional model. In addition, this DCs-based asthma model was partially resistant to steroid treatment. Conclusions: A reliable murine model of asthma by intravenous (i.v.) transfer of OVA-BMDCs was successfully established without anesthesia. This model more accurately reflects heterogeneous human asthma, exhibiting a robust Th2/Th17-skewed response and eosinophilic/neutrophilic infiltration with good reproducibility and low variation among individuals. This model will be useful for understanding the pathogenesis of asthma and would serve as an alternative tool for immunological studies on the function of DCs, T-cell responses and new drugs.
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Jung Kyeongmin,Yoon Joohyun,Ahn Yeeun,Kim Soyeon,Shim Injeong,Ko Hyunwoong,Jung Sang-Hyuk,Kim Jaeyoung,Kim Hyejin,Lee Dong June,Cha Soojin,Lee Hyewon,Kim Beomsu,Cho Min Young,Cho Hyunbin,Kim Dan Say,K 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Irritability is a heritable core mental trait associated with several psychiatric illnesses. However, the genomic basis of irritability is unclear. Therefore, this study aimed to 1) identify the genetic variants associated with irritability and investigate the associated biological pathways, genes, and tissues as well as single-nucleotide polymorphism (SNP)-based heritability; 2) explore the relationships between irritability and various traits, including psychiatric disorders; and 3) identify additional and shared genetic variants for irritability and psychiatric disorders. We conducted a genome-wide association study (GWAS) using 379,506 European samples (105,975 cases and 273,531 controls) from the UK Biobank. We utilized various post-GWAS analyses, including linkage disequilibrium score regression, the bivariate causal mixture model (MiXeR), and conditional and conjunctional false discovery rate approaches. This GWAS identified 15 independent loci associated with irritability; the total SNP heritability estimate was 4.19%. Genetic correlations with psychiatric disorders were most pronounced for major depressive disorder (MDD) and bipolar II disorder (BD II). MiXeR analysis revealed polygenic overlap with schizophrenia (SCZ), bipolar I disorder (BD I), and MDD. Conditional false discovery rate analyses identified additional loci associated with SCZ (number [n] of additional SNPs = 105), BD I (n = 54), MDD (n = 107), and irritability (n = 157). Conjunctional false discovery rate analyses identified 85, 41, and 198 shared loci between irritability and SCZ, BD I, and MDD, respectively. Multiple genetic loci were associated with irritability and three main psychiatric disorders. Given that irritability is a cross-disorder trait, these findings may help to elucidate the genomics of psychiatric disorders.
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