• Title/Summary/Keyword: high-throughput technologies

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SUCCESS 네트워크 구조에서의 WDM-PON을 위한 스케줄링 알고리즘 (Scheduling Algorithm for WDM-PON in SUCCESS Network Architecture)

  • 김현숙
    • 한국통신학회논문지
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    • 제30권7B호
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    • pp.427-432
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    • 2005
  • 광대역 멀티미디어의 고품질 서비스를 제공하기 위한 가입자 전송 망 분야의 변화가 요구 되고 있는 요즘, PON에 대한 연구가 이를 실현시키기 위한 방안으로 크게 부각되고 있다. 본 논문에서는 SUCCESS(Stanford University aCCESS : next generation hybrid WDM/TDM optical access network architecture) 구조에서의 WDM-PON을 위한 스케줄링 알고리즘을 제안하고자 한다. 경제적 구현을 실현하기 위해서는 공유되는 자원의 보다 효율적인 할당이 필요하며, 이를 위해 SUCCESS의 구조와 특성에 적절한 효율적인 스케줄링 알고리즘을 제안하고 있으며, 전체 시스템에서의 평균 패킷 지연시간 및 처리량에 대한 성능을 평가, 분석한다.

TRAIL Based Therapy: Overview of Mesenchymal Stem Cell Based Delivery and miRNA Controlled Expression of TRAIL

  • Attar, Rukset;Sajjad, Farhana;Qureshi, Muhammad Zahid;Tahir, Fizza;Hussain, Ejaz;Fayyaz, Sundas;Farooqi, Ammad Ahmad
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권16호
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    • pp.6495-6497
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    • 2014
  • Rapidly increasing number of outstanding developments in the field of TRAIL mediated signaling have revolutionized our current information about inducing and maximizing TRAIL mediated apoptosis in resistant cancer cells. Data obtained with high-throughput technologies have provided finer resolution of tumor biology and now it is known that a complex structure containing malignant cells strictly coupled with a large variety of surrounding cells constitutes the tumor stroma. Utility of mesenchymal stem cells (MSCs) as cellular vehicles has added new layers of information. There is sufficient experimental evidence substantiating efficient gene deliveries into MSCs by retroviral, lentiviral and adenoviral vectors. Moreover, there is a paradigm shift in molecular oncology and recent high impact research has shown controlled expression of TRAIL in cancer cells on insertion of complementary sequences for frequently downregulated miRNAs. In this review we have attempted to provide an overview of utility of TRAIL engineered MSCs for effective killing of tumor and potential of using miRNA response elements as rheostat like switch to control expression of TRAIL in cancer cells.

Genomic Tools and Their Implications for Vegetable Breeding

  • Phan, Ngan Thi;Sim, Sung-Chur
    • 원예과학기술지
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    • 제35권2호
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    • pp.149-164
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    • 2017
  • Next generation sequencing (NGS) technologies have led to the rapid accumulation of genome sequences through whole-genome sequencing and re-sequencing of crop species. Genomic resources provide the opportunity for a new revolution in plant breeding by facilitating the dissection of complex traits. Among vegetable crops, reference genomes have been sequenced and assembled for several species in the Solanaceae and Cucurbitaceae families, including tomato, pepper, cucumber, watermelon, and melon. These reference genomes have been leveraged for re-sequencing of diverse germplasm collections to explore genome-wide sequence variations, especially single nucleotide polymorphisms (SNPs). The use of genome-wide SNPs and high-throughput genotyping methods has led to the development of new strategies for dissecting complex quantitative traits, such as genome-wide association study (GWAS). In addition, the use of multi-parent populations, including nested association mapping (NAM) and multiparent advanced generation intercross (MAGIC) populations, has helped increase the accuracy of quantitative trait loci (QTL) detection. Consequently, a number of QTL have been discovered for agronomically important traits, such as disease resistance and fruit traits, with high mapping resolution. The molecular markers for these QTL represent a useful resource for enhancing selection efficiency via marker-assisted selection (MAS) in vegetable breeding programs. In this review, we discuss current genomic resources and marker-trait association analysis to facilitate genome-assisted breeding in vegetable species in the Solanaceae and Cucurbitaceae families.

Early-onset epileptic encephalopathies and the diagnostic approach to underlying causes

  • Hwang, Su-Kyeong;Kwon, Soonhak
    • Clinical and Experimental Pediatrics
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    • 제58권11호
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    • pp.407-414
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    • 2015
  • Early-onset epileptic encephalopathies are one of the most severe early onset epilepsies that can lead to progressive psychomotor impairment. These syndromes result from identifiable primary causes, such as structural, neurodegenerative, metabolic, or genetic defects, and an increasing number of novel genetic causes continue to be uncovered. A typical diagnostic approach includes documentation of anamnesis, determination of seizure semiology, electroencephalography, and neuroimaging. If primary biochemical investigations exclude precipitating conditions, a trial with the administration of a vitaminic compound (pyridoxine, pyridoxal-5-phosphate, or folinic acid) can then be initiated regardless of presumptive seizure causes. Patients with unclear etiologies should be considered for a further workup, which should include an evaluation for inherited metabolic defects and genetic analyses. Targeted next-generation sequencing panels showed a high diagnostic yield in patients with epileptic encephalopathy. Mutations associated with the emergence of epileptic encephalopathies can be identified in a targeted fashion by sequencing the most likely candidate genes. Next-generation sequencing technologies offer hope to a large number of patients with cryptogenic encephalopathies and will eventually lead to new therapeutic strategies and more favorable long-term outcomes.

An Integrative Approach to Precision Cancer Medicine Using Patient-Derived Xenografts

  • Cho, Sung-Yup;Kang, Wonyoung;Han, Jee Yun;Min, Seoyeon;Kang, Jinjoo;Lee, Ahra;Kwon, Jee Young;Lee, Charles;Park, Hansoo
    • Molecules and Cells
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    • 제39권2호
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    • pp.77-86
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    • 2016
  • Cancer is a heterogeneous disease caused by diverse genomic alterations in oncogenes and tumor suppressor genes. Despite recent advances in high-throughput sequencing technologies and development of targeted therapies, novel cancer drug development is limited due to the high attrition rate from clinical studies. Patient-derived xenografts (PDX), which are established by the transfer of patient tumors into immunodeficient mice, serve as a platform for co-clinical trials by enabling the integration of clinical data, genomic profiles, and drug responsiveness data to determine precisely targeted therapies. PDX models retain many of the key characteristics of patients' tumors including histology, genomic signature, cellular heterogeneity, and drug responsiveness. These models can also be applied to the development of biomarkers for drug responsiveness and personalized drug selection. This review summarizes our current knowledge of this field, including methodologic aspects, applications in drug development, challenges and limitations, and utilization for precision cancer medicine.

고체상 나노구멍을 이용한 DNA 염기서열 분석기술 (DNA Sequencing Analysis Technique by Using Solid-State Nanopore)

  • 김태헌;박정호
    • 센서학회지
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    • 제21권5호
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    • pp.359-366
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    • 2012
  • Nanopore DNA sequencing is an emerging and promising technique that can potentially realize the goal of a low-cost and high-throughput method for analyzing human genome. Especially, solid-state nanopores have relatively high mechanical stability, simple surface modification, and facile fabrication process without the need for labeling or amplification of PCR (polymerized chain reaction) in DNA sequencing. For these advantages of solid-sate nanopores, the use of solid-state nanopores has been extensively considered for developing a next generation DNA sequencing technology. Solid-state nanopore sequencing technique can determine and count charged molecules such as single-stranded DNA, double-stranded DNA, or RNA when they are driven to pass through a membrane nanopore between two electrolytes of cis-trans chambers with applied bias voltage by measuring the ionic current which varies due to the existence of the charged particles in the nanopore. Recently, many researchers have suggested that nanopore-based sensors can be competitive with other third-generation DNA sequencing technologies, and may be able to rapidly and reliably sequence the human genome for under $1,000.

A Study on Transcriptome Analysis Using de novo RNA-sequencing to Compare Ginseng Roots Cultivated in Different Environments

  • Yang, Byung Wook
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2018년도 춘계학술발표회
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    • pp.5-5
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    • 2018
  • Ginseng (Panax ginseng C.A. Meyer), one of the most widely used medicinal plants in traditional oriental medicine, is used for the treatment of various diseases. It has been classified according to its cultivation environment, such as field cultivated ginseng (FCG) and mountain cultivated ginseng (MCG). However, little is known about differences in gene expression in ginseng roots between field cultivated and mountain cultivated ginseng. In order to investigate the whole transcriptome landscape of ginseng, we employed High-Throughput sequencing technologies using the Illumina HiSeqTM2500 system, and generated a large amount of sequenced transcriptome from ginseng roots. Approximately 77 million and 87 million high-quality reads were produced in the FCG and MCG roots transcriptome analyses, respectively, and we obtained 256,032 assembled unigenes with an average length of 1,171 bp by de novo assembly methods. Functional annotations of the unigenes were performed using sequence similarity comparisons against the following databases: the non-redundant nucleotide database, the InterPro domains database, the Gene Ontology Consortium database, and the Kyoto Encyclopedia of Genes and Genomes pathway database. A total of 4,207 unigenes were assigned to specific metabolic pathways, and all of the known enzymes involved in starch and sucrose metabolism pathways were also identified in the KEGG library. This study indicated that alpha-glucan phosphorylase 1, putative pectinesterase/pectinesterase inhibitor 17, beta-amylase, and alpha-glucan phosphorylase isozyme H might be important factors involved in starch and sucrose metabolism between FCG and MCG in different environments.

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Hybrid-clustering game Algorithm for Resource Allocation in Macro-Femto HetNet

  • Ye, Fang;Dai, Jing;Li, Yibing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권4호
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    • pp.1638-1654
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    • 2018
  • The heterogeneous network (HetNet) has been one of the key technologies in Long Term Evolution-Advanced (LTE-A) with growing capacity and coverage demands. However, the introduction of femtocells has brought serious co-layer interference and cross-layer interference, which has been a major factor affecting system throughput. It is generally acknowledged that the resource allocation has significant impact on suppressing interference and improving the system performance. In this paper, we propose a hybrid-clustering algorithm based on the $Mat{\acute{e}}rn$ hard-core process (MHP) to restrain two kinds of co-channel interference in the HetNet. As the impracticality of the hexagonal grid model and the homogeneous Poisson point process model whose points distribute completely randomly to establish the system model. The HetNet model based on the MHP is adopted to satisfy the negative correlation distribution of base stations in this paper. Base on the system model, the spectrum sharing problem with restricted spectrum resources is further analyzed. On the basis of location information and the interference relation of base stations, a hybrid clustering method, which takes into accounts the fairness of two types of base stations is firstly proposed. Then, auction mechanism is discussed to achieve the spectrum sharing inside each cluster, avoiding the spectrum resource waste. Through combining the clustering theory and auction mechanism, the proposed novel algorithm can be applied to restrain the cross-layer interference and co-layer interference of HetNet, which has a high density of base stations. Simulation results show that spectral efficiency and system throughput increase to a certain degree.

네트워크 트래픽 상태에 적응적인 UDT Rate Control 기법 (An Adaptive UDT Rate Control Method on Network Traffic Condition)

  • 안도식;왕기철;김승해;조기환
    • 대한전자공학회논문지TC
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    • 제48권3호
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    • pp.19-27
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    • 2011
  • 광 네트워크 기술의 발달로 인해 오늘날 대부분의 네트워크는 수십 Gb/s를 지원한다. UDT(UDP-based Data Transfer protocol)는 대역폭과 지연시간이 큰 네트워크 환경에서 대용량 데이터 전송을 위한 프로토콜이다. 그러나 UDT는 고정된 sync-interval(0.01초) 간격으로 주기적인 rate control을 실행한다. 네트워크 트래픽 상태의 변화가 심한 환경에서는 sync-interval 동안 가용 대역폭을 충분히 활용하지 못하는 문제점이 발생한다. 본 논문은 sync-interval 구간에서 네트워크 트래픽 상태에 적응적인 rate control 기법을 제안한다. 네트워크 트래픽 상태는 RTT 변화를 바탕으로 판단한다. 제안 기법은 네트워크 상태를 4개의 구간으로 설정하여 패킷 sending period를 조절함으로써 rate control을 수행한다. 시뮬레이션 결과를 통하여 기존 UDT에 비해 throughput 과 안정성이 향상되었음을 보였다.

방대한 IoT 장치 기반 환경에서 효율적인 빅데이터 수집 기법 설계 (Design of Efficient Big Data Collection Method based on Mass IoT devices)

  • 최종석;신용태
    • 한국정보전자통신기술학회논문지
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    • 제14권4호
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    • pp.300-306
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    • 2021
  • IT기술의 발달로 인해 최근 IoT 장비에 적용되는 하드웨어 기술이 저비용, 고성능 RF 및 연산장치를 사용한 스마트 시스템들로 변화되고 있다. 그러나 방대한 양의 IoT 장비들이 설치된 인프라 환경에서 빅데이터 수집은 전송되는 데이터간 병목현상으로 인해 수집 서버의 부하가 발생한다. 이로인해 데이터수집 서버로 전송되는 데이터는 패킷 손실 및 데이터 처리율 감소 현상이 발생한다. 따라서 방대한 양의 IoT 장비들이 설치된 인프라 환경에서 효율적인 빅데이터 수집 기법이 필요하다. 이에 본 논문에서는 방대한 양의 IoT 장비들이 설치된 인프라 환경에서 효율적인 빅데이터 수집 기법을 제안한다. 성능평가 결과, 제안하는 기법의 패킷 손실 및 데이터 처리율은 전송되는 파일의 손실없이 전송이 완료된다. 향후 본 설계를 기반으로 시스템이 구현이 필요하다.