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Kinetics of Molecular Recognition Mediated Nanoparticle Self-Assembly

Nano Research 2009年第1期2卷 78-84页

作者： Chinmay Soman Todd Giorgio Interdisciplinary Program in Materials Science Vanderbilt University201 West End AvenueNashvilleTN 37240USA Department of Biomedical Engineering Vanderbilt University201 West End AvenueNashvilleTN 37240USA

Nanoscale quantum dot-antibody conjugates have been shown to self-assemble to form micron-scale aggregates in the presence of specific proteomic *** self-assembly process exhibits sigmoidal kinetics,suggesting that nucleation limits ***-assembly kinetics in this study is characterized by flow cytometric analysis of the aggregation reaction over time.A range of physiologically relevant concentrations of the protein angiopoietin-2,a candidate cancer biomarker,are incubated with quantum dots conjugated with a polyclonal mixture of anti-angiopoietin-2 *** concentration modulates the slopes and inflection times of the sigmoidal kinetics *** understanding of self-assembly kinetics in this system may lead to improvements in sensitivity and specificity of this novel proteomic biomarker detection technique and improve the screening,diagnostics,and therapy response monitoring for cancers and other *** approach to studying the kinetics of nanoparticle self-assembly may also provide a valuable tool for understanding the fundamental characteristics of nanoscale particle aggregation.

关键词： Quantum dot self-assembly kinetics proteomics diagnostics has

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REVIEW ARTICLE: Melatonin plus exercise-based neurorehabilitative therapy for spinal cord injury

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Journal of Pineal Research 2010年第3期49卷

作者： Yonggeun Hong K. J. Palaksha Kanghui Park Sookyoung Park Hyun-Dong Kim Russel J. Reiter Kyu-Tae Chang Cardiovascular & Metabolic Disease Center Department of Rehabilitation Science in Interdisciplinary PhD Program College of Biomedical Science & Engineering Inje University Gimhae National Primate Research Center (NPRC) Korea Research Institute of Bioscience and Biotechnology (KRIBB) Ochang Department of PM & R. (Physical Medicine and Rehabilitation) College of Medicine Inje University Busan Korea Department of Cellular & Structural Biology The UT Health Science Center San Antonio TX USA

Abstract: Spinal cord injury (SCI) is damage to the spinal cord caused by the trauma or disease that results in compromised or loss of body function. Subsequent to SCI in humans, many individuals have residual motor and sensory deficits that impair functional performance and quality of life. The available treatments for SCI are rehabilitation therapy, activity-based therapies, and pharmacological treatment using antioxidants and their agonists. Among pharmacological treatments, the most efficient and commonly used antioxidant for experimental SCI treatment is melatonin, an indolamine secreted by pineal gland at night. Melatonin’s receptor-independent free radical scavenging action and its broad-spectrum antioxidant activity makes it an ideal antioxidant to protect tissue from oxidative stress-induced secondary damage after SCI. Owing to the limitations of an activity-based therapy and antioxidant treatment singly on the functional recovery and oxidative stress-induced secondary damages after SCI, a melatonin plus exercise treatment may be a more effective therapy for SCI. As suggested herein, supplementation with melatonin in conjunction with exercise not only would improve the functional recovery by enhancing the beneficial effects of exercise but would reduce the secondary tissue damage simultaneously. Finally, melatonin may protect against exercise-induced fatigue and impairments. In this review, based on the documented evidence regarding the beneficial effects of melatonin, activity-based therapy and the combination of both on functional recovery, as well as reduction of secondary damage caused by oxidative stress after SCI, we suggest the melatonin combined with exercise would be a novel neurorehabilitative strategy for the faster recovery after SCI.

关键词： animal model exercise melatonin rehabilitation secondary/oxidative damage spinal cord injury

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Fluorescence resonance energy transfer detection of mouse immunoglobulin G and Octamer-4 on protein nanoarray

Fluorescence resonance energy transfer detection of mouse im...

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IEEE/ICME International Conference on Complex Medical engineering, CME

作者： Phat. L. Tran Yee Tchao Jeong-Yeol Yoon Biomedical Engineering Graduate Interdisciplinary Program University of Arizona Tucson Tucson AZ USA Department of Veterinary Science and Microbiology University of Arizona Tucson Tucson AZ USA Department of Agricultural and Biosystems Engineering and Biomedical Engineering Graduate Interdisciplinary Program University of Arizona Tucson Tucson AZ USA

An alternative approach for fabricating a protein array at nanoscale (<100 nm) is suggested with a capability of characterization and/or localization of multiple components on a nanoarray. Basically, fluorescent micro- and nanospheres each conjugated with different proteins are size-dependently self-assembled (SDSA) onto these nanometer wells that were created on the polymethyl methacrylate (PMMA) substrate by electron beam lithography (EBL). Particles of different diameters are added serially, and electrostatically attached to the corresponding wells through electrostatic attraction between the carboxylic groups of the spheres and p-doped silicon substrate underneath the PMMA layer. Target detection utilizes fluorescence resonance energy transfer (FRET) from fluorescent beads to target (mouse immunoglobulin G = mIgG or Octamer-4 = Oct4) and its antibody bound on the beads. The 180 nm blue beads are conjugated with mIgG to capture anti-mIgG-FITC. The 50 nm green and 100 nm yellow-green beads are conjugated with anti-Oct4 to capture Oct4 peptides; where the secondary anti-Oct4 tagged with phycoerythrin via F(ab)2 fragment is then added to function as an indicator of Oct4 detection. These protein-conjugated particles are added serially from the largest to the smallest and the particles are successfully self-assembled to the respective nanometer wells to achieve size-dependent self-assembly. FRET signals are detected through fluorescence and confocal microscopes, and further confirmed by Fluorolog3 spectrofluorometer. Therefore, SDSA is a valuable approach for the fabrication of multiple components array; and FRET is a useful biorecognition technique for the detection of mIgG, Oct4 or other targets of interest.

关键词： Fluorescence Resonance Energy exchange Mice Proteins Self-assembly Immune system Electron beams Lithography Electrostatics

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Application of an elastic biodegradable poly(L-lactide-co-Ε- caprolactone) scaffold for cartilage tissue regeneration

Application of an elastic biodegradable poly(L-lactide-co-Ε...

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作者： Jung, Youngmee Kim, Soo Hyun You, Hee Jin Kim, Sang-Heon Ha Kim, Young Min, Byoung Goo Biomaterials Research Center Korea Institute of Science and Technology P.O. Box 131 Cheongryang Seoul 136-650 Korea Republic of Interdisciplinary Program in Medical and Biological Engineering Major Seoul National University Seoul Korea Republic of Department of Materials Science and Engineering Gwangju Institute of Science and Technology Gwangju Korea Republic of Department of Biomedical Engineering Seoul National University Seoul Korea Republic of

In cartilage tissue regeneration, it is important that an implant inserted into a defect site can maintain its mechanical integrity and endure stress loads from the body, in addition to being biocompatible and able to induce tissue growth. These factors are crucial in the design of scaffolds for cartilage tissue engineering. We developed an elastic biodegradable scaffold from poly(L-lactideco-Ε-caprolactone) (PLCL) for application in cartilage treatment. Biodegradable PLCL co-polymer was synthesized from L-lactide and Ε-caprolactone in the presence of stannous octoate as a catalyst. A highly elastic PLCL scaffold was fabricated by a gel-pressing method with 80% porosity and 300-500 μm pore size. The tensile mechanical and recovery tests were performed in order to examine mechanical and elastic properties of the PLCL scaffold. They could be easily twisted and bent and exhibited almost complete (over 94%) recoverable extension up to breaking point. For examining cartilaginous tissue formation, rabbit chondrocytes were seeded on scaffolds. They were then cultured in vitro for 5 weeks or implanted in nude mice subcutaneously. From in vitro and in vivo tests, the accumulation of extracellular matrix on the constructs showed that chondrogenic differentiation was sustained onto PLCL scaffolds. Histological analysis showed that cells onto PLCL scaffolds formed mature and well-developed cartilaginous tissue, as evidenced by chondrocytes within lacunae. From these results, we are confident that elastic PLCL scaffolds exhibit biocompatibility and as such would provide an environment where cartilage tissue growth is enhanced and facilitated. © 2008 VSP.

关键词： Tissue regeneration

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Cartilaginous tissue formation using human adipose tissue derived stromal cells and TGF-β1 loaded functional nanoparticle-hydrogel-PLCL complex

Cartilaginous tissue formation using human adipose tissue de...

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8th World Biomaterials Congress 2008, WBC 2008

作者： Jung, Youngmee Kim, Soo Hyun Chung, Yong-Il Tae, Giyoong Kim, Sang-Heon Kim, Young Ha Lee, Jong Won Min, Byoung Goo Biomaterials Research Center Korea Institute of Science and Technology Seoul Korea Republic of Interdisciplinary Program in Medical and Biological Engineering Major Seoul National University Seoul Korea Republic of Department of Materials Science and Engineering Gwangju Institute of Science and Technology Gwangju Korea Republic of Department of Plastic Surgery Catholic University of Korea Seoul Korea Republic of Department of Biomedical Engineering Seoul National University Seoul Korea Republic of

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Towards a framework for analysis of biophotonic images of mouse models of cancer

Towards a framework for analysis of biophotonic images of mo...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Vidya Kamath Dmitry Goldgof Raul Argilagos Lori Hazlehurst Steven Eschrich Biomedical Engineering program University of South Florida USA Department of Computer Science University of South Florida USA Department of Interdisciplinary Oncology Moffitt Cancer Center and College of Medicine University of South Florida USA Dep. of Interdisciplinary Oncology H. Lee Moffitt Cancer Center and College of Medicine University of South Florida USA

Biophotonic imaging can be used to characterize tumor growth in animal models. Estimation of the numbers and location of target cells is dependent on accurate segmentation of a target region from the background luminescence of the animal body. Existing software systems extract general regions of interest in complex images but can fail to detect details or faint regions of interest in the presence of higher luminescent activity. Limited work has been published in the analysis of these images. We explore the use of popular medical image segmentation techniques in segmentation of bioluminescence images. The ability of each algorithm in detecting regions of interest is tested using established performance measures. Based on the characteristics of bioluminescence images of animal tumor models, and the performance of the algorithms, we formulate a framework for segmentation techniques best suited for this application.

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184 – Cavum septum pellucidum in subjects at ultra high risk for schizophrenia: compared with first-degree relatives of patients with schizophrenia and healthy volunteers

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Schizophrenia Research 2008年 98卷 109-109页

作者： Choi, J.-S. Kang, D.-H. Park, J.-Y. Jung, W.H. Choi, C.-H. Chon, M.-W. Jung, M.H. Lee, J.-M. Kwon, J.S. Department of Psychiatry Seoul National University College of Medicine Seoul Republic of Korea Interdisciplinary Program in Cognitive Science Seoul National University Seoul Republic of Korea Interdisciplinary Program in Brain Science Seoul National University Seoul Republic of Korea Department of Radiology National Medical Center Seoul Republic of Korea Department of Biomedical Engineering Hanyang University Seoul Republic of Korea

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186 – Inefficient neural network during spatial working memory task in subjects at high genetic-risk for schizophrenia

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Schizophrenia Research 2008年 98卷 110-110页

作者： Han, J.Y. Park, J.Y. Kang, D.H. Choi, J.S. Jung, M.H. Choi, C.H. Jung, Y.S. Lee, J.M. Kwon, J.S. Interdisciplinary Program in Cognitive and Brain Science Seoul National University Seoul Republic of Korea Department of Psychiatry Seoul National University College of Medicine Seoul Republic of Korea Clinical Cognitive Neuroscience Center Neuroscience Institute SNU-MRC Seoul Republic of Korea Department of Radiology National Medical Center Seoul Republic of Korea Department of Biomedical Engineering Hanyang University School of Medicine Seoul Republic of Korea

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Multivariate feature selection using random subspace classifiers for gene expression data

Multivariate feature selection using random subspace classif...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Kamath, Vidya P. Hall, Lawrence O. Yeatman, Timothy J. Eschrich, Steven A. Biomedical Engineering Program University of South Florida H. Lee Moffitt Cancer Center and Research Institute Tampa FL United States Dept. of Computer Science and Engineering University of South Florida Tampa FL United States Dept. Interdisciplinary Oncology H. Lee Moffitt Cancer Center and Research Institute Tampa FL United States

ISBN: (纸本)1424415098

Gene expression analysis techniques identify important genes that predict specified outcomes based on sample characteristics. Given the small sample sizes common to these studies and the large dimensionality of the data, feature selection methods are essential. In addition, cancer-related expression analysis often involves imbalanced datasets due to rare forms of disease. Popular methods of feature selection employ univariate techniques to identify the features most suitable for analysis. We propose a multivariate technique for selecting accurate subsets of features using an approach based on random subspaces. The random subspace method is used to explore random combinations of features and only subspaces that produce accurate classifiers are retained. The method is tested on two independent gene expression datasets and compared with a univariate approach. The multivariate feature selection method resulted in a 33% improvement in classification accuracy overall and 90% improvement in classification accuracy for the minority class. ©2007 IEEE.

关键词： Gene expression

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Cartilage tissue engineering using a elastic poly (L-lactide-co-Ε- caprolactone) scaffold

Cartilage tissue engineering using a elastic poly (L-lactide...

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作者： Jung, Youngmee Kim, Soo Hyun Kim, Sang-Heon Kim, Young Ha Min, Byoung Goo Biomaterials Research Center Korea Institute of Science and Technology P.O.Box 131 Cheongryang Seoul 130-650 Korea Republic of Interdisciplinary Program Medical and Biological Engineering Major Seoul National University 28 Yeongeon Chongro Seoul 110-790 Korea Republic of Department of Materials Science and Engineering Gwangju Institute of Science and Technology 1 Oryang Buk Gwangju 500-712 Korea Republic of Department of Biomedical Engineering Seoul National University 28 Yeongeon Chongro Seoul 110-790 Korea Republic of

Mechano-active scaffolds were fabricated from very elastic poly(L-lactide-co-Ε-carprolactone). The scaffolds with 80% porosity and 300-500 um pore size were prepared by a gel-pressing method. As a control group for elastic properties of polymer scaffolds, rigid poly L-lactide scaffolds were fabricated. The scaffolds were seeded with chondrocytes and cultured to evaluate the effect of elastic properties of polymer scaffolds for the differentiation and the ECM secretion of chondrocytes. Also, the chondrocytes-seeded constructs were implanted in nude mice subcutaneously to investigate their biocompatibility and cartilage formation. From the biochemical analyses, chondrogenic differentiation was sustained and enhanced significantly and chondral extracellular matrix was increased through mechanical stimulation of dynamic environment in the dynamic body systems. Histological analysis showed that implants of PLCL constructs formed mature and well-developed cartilaginous tissue, as evidenced by chondrocytes within lacunae. Consequently, the elastic PLCL scaffolds could be used to engineer cartilage in mechanically dynamic environments.

关键词： Cartilage

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