• Title/Summary/Keyword: cell-based

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Evidence Based Analysis of Cisplatin for Treating Patients with Cutaneous Squamous Cell Carcinoma

  • Shao, Xiao-Hong;Xu, Yun-Sheng;Zhang, Xue-Qi;Li, Wen-Feng
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.9813-9815
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    • 2014
  • Background: This analysis was conducted to evaluate the efficacy and safety of cisplatin based chemotherapy for treating patients with cutaneous squamous cell carcinoma. Methods: Clinical studies evaluating the efficacy and safety of cisplatin based regimens on response and safety for patients with cutaneous squamous cell carcinoma were identified using a predefined search strategy. Pooled response rates (RR) of treatment were calculated. Results: In cisplatin based regimens, 4 clinical studies which including 50 patients with advanced cutaneous squamous cell carcinoma were considered eligible for inclusion. Regimens included cisplatin, doxorubicin, or vindesine. Pooled analysis suggested that, in all patients, the pooled RR was 60% (30/50) in cisplatin based regimens. Nausea and vomiting were the main side effects. No grade III or IV renal or liver toxicity were observed. No treatment related death occurred with the cisplatin based treatments. Conclusion: Evidence based analysis suggests that cisplatin based regimens are associated with a good response rate and acceptable toxicity for treating patients with cutaneous squamous cell carcinoma.

Characterization of the KG1a Cell Line for Use in a Cell Migration Based Screening Assay

  • Bernhard O. Palsson;Karl francis;Lee, Gyun-Min
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.7 no.3
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    • pp.178-184
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    • 2002
  • High-throughput screening has become a popular method used to identify new “leads”for potentially therapeutic compounds. Further screening of these lead compounds is typically done with secondary assays which may utilize living, functioning cells as screening tools. A problem (or benefit) with these cell-based assays is that living cells are very sensitive to their environment. We have been interested in the process of stem cell migration and how it relates to the cellular therapy of bone marrow transplantation. In this study we describe a secondary, cell-based assay for screening the effects of various in-vitro conditions on Immature Hematopoietic Cell (IHC) migration. Our results have revealed many subtle factors, such as the cell's adhesive characteristics, or the effect of a culture's growth phase, that need to be accounted for in a screening protocol. Finally, we show that exponentially glowing KG1a cells (a human IHC cell line) were 10 times more motile than those in the lag or stationary phases. These data strongly suggest that KG1a cells secrete a chemokinetic factor during the exponential growth phase of a culture.

Facile Cell Patterning Based on Selectively Patterned Polydimethylsiloxane (PDMS) and Polyelectrolyte Surface (PDMS와 고분자 전해질 표면을 이용한 간편한 세포 패터닝 방법)

  • Jeong, Heon-Ho;Song, Hwan-Moon;Hwang, Ye-Jin;Hwang, Taek-Sung;Lee, Chang-Soo
    • KSBB Journal
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    • v.24 no.6
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    • pp.515-520
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    • 2009
  • This study presented facile method of cell patterning using fabricated PDMS patterns on polyelectrolyte coated surface. This basic principle is the fabrication of functional surface presenting two orthogonal surfaces such as cell adhesive and repellent properties. Cell adhesive surface was firstly fabricated with simple coating of polyelectrolyte multilayer. And then, the desired patterns of PDMS for the prevention of nonspecific binding of cells were transferred onto the previously formed thin film of polyelectrolyte multilayer. Thus, we could prepare novel functional surface simultaneously containing PDMS and polyelectrolyte region. As expected, the PDMS regions showed effective prevention of nonspecific binding of cell and the other region, exposed polyelectrolyte area, provided cell adhesive environment. The height of formed PDMS structure was about 100 nm. Based on this method, cell patterning can be successfully obtained with various pattern shapes and sizes. Therefore, we expect that this simple method will be useful platform technology for the development of cell chip, cell based assay system, and biochip.

Load-Aware Cell Selection Method for Efficient Use of Network Resources (효율적 망 자원 이용을 위한 부하 인지 셀 선택 기법)

  • Park, Jaesung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.12
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    • pp.2443-2449
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    • 2015
  • Downlink (DL) data rate for a MS is influenced by not only the signal to interference and noise ratio (SINR) but also the amount of radio resources allocated to the MS. Therefore, when a MS uses SINR to select a cell to associate with, it cannot receive the fastest DL data rate all the time if it associates with a congested cell. Moreover, the SINR-based cell selection may result in cell loads unbalance, which decreases the efficiency of a network. To address the issue, we propose a novel cell selection method by considering not only SINR but also a cell load which are combined into two cell selection criteria. One is the maximum achievable data rate and the other is the minimum outage probability. The simulation results show that the cell selection based on the maximum achievable data rate is superior to the SINR-based method and the method using the minimum outage probability in terms of the system efficiency and the fairness in cell loads while the cell selection method based on the minimum outage probability is superior to the others in terms of the outage probability of a MS.

A Study of Manufacturing Cell Based on the Demand Rate (부품 수요율을 고려한 제조 셀의 운용)

  • 박승헌
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.49
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    • pp.67-76
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    • 1999
  • This research presents the relationship among machining time, cycle time and demand rate in a cellular manufacturing system. The manufacturing cell produces part families by automated machines. This paper discusses the cases of increasing demand rate in an existing cell and designing cell based on the demand rate. This research developed an algorithm for decision making such as cycle time, machines and workers in order to minimize the total machine capacity and the number of workers for any given demand rate. The proposed algorithm was successfully applied for the design and operation of cell manufacturing with a good result.

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In Vivo Non Invasive Molecular Imaging for Immune Cell Tracking in Small Animals

  • Youn, Hyewon;Hong, Kee-Jong
    • IMMUNE NETWORK
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    • v.12 no.6
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    • pp.223-229
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    • 2012
  • Clinical and preclinical in vivo immune cell imaging approaches have been used to study immune cell proliferation, apoptosis and interaction at the microscopic (intra-vital imaging) and macroscopic (whole-body imaging) level by use of ex vivo or in vivo labeling method. A series of imaging techniques ranging from non-radiation based techniques such as optical imaging, MRI, and ultrasound to radiation based CT/nuclear imaging can be used for in vivo immune cell tracking. These imaging modalities highlight the intrinsic behavior of different immune cell populations in physiological context. Fluorescent, radioactive or paramagnetic probes can be used in direct labeling protocols to monitor the specific cell population. Reporter genes can also be used for genetic, indirect labeling protocols to track the fate of a given cell subpopulation in vivo. In this review, we summarized several methods dealing with dendritic cell, macrophage, and T lymphocyte specifically labeled for different macroscopic whole-body imaging techniques both for the study of their physiological function and in the context of immunotherapy to exploit imaging-derived information and immune-based treatments.

In Vivo Stem Cell Imaging Principles and Applications

  • Seongje Hong;Dong-Sung Lee;Geun-Woo Bae;Juhyeong Jeon;Hak Kyun Kim;Siyeon Rhee;Kyung Oh Jung
    • International Journal of Stem Cells
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    • v.16 no.4
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    • pp.363-375
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    • 2023
  • Stem cells are the foundational cells for every organ and tissue in our body. Cell-based therapeutics using stem cells in regenerative medicine have received attracting attention as a possible treatment for various diseases caused by congenital defects. Stem cells such as induced pluripotent stem cells (iPSCs) as well as embryonic stem cells (ESCs), mesenchymal stem cells (MSCs), and neuroprogenitors stem cells (NSCs) have recently been studied in various ways as a cell-based therapeutic agent. When various stem cells are transplanted into a living body, they can differentiate and perform complex functions. For stem cell transplantation, it is essential to determine the suitability of the stem cell-based treatment by evaluating the origin of stem, the route of administration, in vivo bio-distribution, transplanted cell survival, function, and mobility. Currently, these various stem cells are being imaged in vivo through various molecular imaging methods. Various imaging modalities such as optical imaging, magnetic resonance imaging (MRI), ultrasound (US), positron emission tomography (PET), and single-photon emission computed tomography (SPECT) have been introduced for the application of various stem cell imaging. In this review, we discuss the principles and recent advances of in vivo molecular imaging for application of stem cell research.

An Improved DWRR Cell Scheduling Algorithm based on the QoS of Delay (지연 특성을 고려한 개선된 DWRR 셀 스케쥴링 알고리즘)

  • 곽지영;김체훤;김두현;남지승
    • Proceedings of the IEEK Conference
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    • 2000.06c
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    • pp.81-84
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    • 2000
  • Scheduling algorithm proposed in this paper is based on both DWRR(Dynamic Weighed Round Robin) method and QLT(Queue Length Threshold) method. The proposed scheduling algorithm guarantees delay property of realtime traffic, not considered in previous DWRR method, with serving realtime traffic preferentially by using RR(Round Robin) method which service each channel equally and QLT algorithm that is dynamic time priority method. Proposed cell scheduling algorithm may increase some complexity over conventional DWRR scheme because of delay priority based cell transmission method. However, due to reliable ABR service and congesition avoidance capacity, proposed scheduling algorithm has good performance over conventional DWRR scheme. Also, delay property based cell transmission method in proposed algorithm minimizes cell delay and requires less temporary buffer size

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Intelligent Agent-based Open Architecture Cell Controller (지능에이전트를 이용한 개방형 셀 제어기 개발)

  • 황지현;최경현;이석희
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.393-397
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    • 2001
  • This paper addresses an Intelligent Agent-based Open Architecture Cell Controller for Intelligent Manufacturing System(IMS). With an Intelligent Agent approach, the IMS will be a independent, autonomous, distributed system and achieve a adaptability to change of manufacturing environment. As the development methodology of Open Architecture Cell Controller, an object-oriented modeling technique is employed for building models associated with IMS operation, such as resource model, product model, and control model. Intelligent Agent-based Open Architecture Cell Controller consists of two kinds of dependant agents, that are the active agent and the coordinator agent. The Active agent is contributed to control components of IMS in real-time. The coordinator agent has great role in scheduling and planning of IMS. It communicates with other active agents to get information about status on system and generates the next optimal task through the making-decision logic and dispatch it to other active agent.

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Multi-cell Segmentation of Glioblastoma Combining Marker-based Watershed and Elliptic Fitting Method in Fluorescence Microscope Image (마커 제어 워터셰드와 타원 적합기법을 결합한 다중 교모세포종 분할)

  • Lee, Jiyoung;Jeong, Daeun;Lee, Hyunwoo;Yang, Sejung
    • Journal of Biomedical Engineering Research
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    • v.42 no.4
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    • pp.159-166
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    • 2021
  • In order to analyze cell images, accurate segmentation of each cell is indispensable. However, the reality is that accurate cell image segmentation is not easy due to various noises, dense cells, and inconsistent shape of cells. Therefore, in this paper, we propose an algorithm that combines marker-based watershed segmentation and ellipse fitting method for glioblastoma cell segmentation. In the proposed algorithm, in order to solve the over-segmentation problem of the existing watershed method, the marker-based watershed technique is primarily performed through "seeding using local minima". In addition, as a second process, the concave point search using ellipse fitting for final segmentation based on the connection line between the concave points has been performed. To evaluate the performance of the proposed algorithm, we compared three algorithms with other algorithms along with the calculation of segmentation accuracy, and we applied the algorithm to other cell image data to check the generalization and propose a solution.