25 research outputs found

    Microglial STAT3-mediated neuron-microglia interactions in major depressive disorder

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ์˜๊ณผํ•™๊ณผ, 2019. 2. ์˜ˆ์ƒ๊ทœ.๋ฏธ์„ธ์•„๊ต์„ธํฌ๋Š” ์ค‘์ถ”์‹ ๊ฒฝ๊ณ„์— ์กด์žฌํ•˜๋Š” ์‹ ๊ฒฝ์•„๊ต์„ธํฌ๊ณ„์˜ ํ•œ ์ข…๋ฅ˜๋กœ ๋‡Œ์™€ ์ฒ™์ˆ˜์˜ ์‹ ๊ฒฝ๊ธฐ๋Šฅ์„ ๋ณด์กฐํ•˜๊ฑฐ๋‚˜ ๋ณดํ˜ธํ•˜๋Š” ๊ธฐ๋Šฅ์„ ํ•œ๋‹ค. ํŠนํžˆ, ์‹ ๊ฒฝ-๋ฏธ์„ธ์•„๊ต์„ธํฌ์˜ ์ƒํ˜ธ์ž‘์šฉ์€ ์‹ ๊ฒฝ-๋ฉด์—ญ๊ณ„๋ฅผ ์ •์ƒ์ ์œผ๋กœ ์œ ์ง€ํ•˜๋Š” ๋Œ€ํ‘œ์ ์ธ ๊ธฐ์ „ ์ค‘ ํ•˜๋‚˜๋กœ ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ๋ฏธ์•„๊ต์„ธํฌ์˜ ํ™œ์„ฑํ™” ์ƒํƒœ๋ฅผ ์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์€ ์‹ ๊ฒฝ-๋ฉด์—ญ๊ณ„์˜ ๊ท ํ˜•์„ ์œ ์ง€ํ•˜๋Š”๋ฐ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ์‹ ๊ฒฝ-๋ฉด์—ญ๊ณ„์˜ ๋ถˆ๊ท ํ˜•์€ ๊ณง ์•Œ์ธ ํ•˜์ด๋จธ๋ณ‘, ํŒŒํ‚จ์Šจ๋ณ‘, ์ฃผ์š”์šฐ์šธ์žฅ์•  ๋“ฑ ์—ฌ๋Ÿฌ ์‹ ๊ฒฝ์ •์‹ ์งˆํ™˜์˜ ์›์ธ์ด ๋˜๊ธฐ๋„ ํ•œ๋‹ค. ํ•˜์ง€๋งŒ ์‹ ๊ฒฝ-๋ฏธ์„ธ์•„๊ต์„ธํฌ์˜ ์ƒํ˜ธ์ž‘์šฉ์ด ์ด๋Ÿฌํ•œ ์‹ ๊ฒฝ์ •์‹ ์งˆํ™˜์—์„œ ์–ด๋–ค ๊ธฐ๋Šฅ์„ ํ•˜๋Š”์ง€๋Š” ์•Œ๋ ค์ ธ ์žˆ์ง€ ์•Š๋‹ค. ์‹ ํ˜ธ๋ณ€ํ™˜ ๋ฐ ์ „์‚ฌํ™œ์„ฑ์ธ์ž 3 (STAT3)๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ๋ฉด์—ญ์„ธํฌ์—์„œ ๋‹ค์–‘ํ•œ ์‚ฌ์ดํ† ์นด์ธ๊ณผ ์„ฑ์žฅ์ธ์ž๋“ค์— ์˜ํ•ด ๋ฐœํ˜„๋˜๊ณ , ์„ธํฌ ํ™œ์„ฑํ™”๋ฅผ ์ผ์œผ์ผœ ์—ผ์ฆ์„ฑ๋ฐ˜์‘์„ ์ผ์œผํ‚ค๋Š” ์—ญํ• ์„ ์œ ์ „์ž์ด๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฏธ์„ธ์•„๊ต์„ธํฌ-ํŠน์ด์  STAT3 ๊ฒฐ์†์ด ์ฃผ์š”์šฐ์šธ์žฅ์• ๊ฐ™์€ ์‹ ๊ฒฝ์ •์‹ ์งˆํ™˜์—์„œ ์‹ ๊ฒฝ-๋ฏธ์„ธ์•„๊ต์„ธํฌ์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ํ†ตํ•ด ์‹ ๊ฒฝ๋ฉด์—ญ๊ณ„์˜ ๊ท ํ˜•์„ ์œ ์ง€ํ•˜๊ณ  ์ฆ์ƒ์„ ์™„ํ™”์‹œํ‚ฌ ๊ฒƒ์ด๋ผ๋Š” ๊ฐ€์„ค์„ ์„ธ์›Œ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ–ˆ๋‹ค. ๋จผ์ €, ๋ฏธ์„ธ์•„๊ต์„ธํฌ-ํŠน์ด์  STAT3 ๊ฒฐ์† (STAT3fl/flLysM-Cre+/-) ๋งˆ์šฐ์Šค ๋ชจ๋ธ ์ œ์ž‘ํ•˜์—ฌ ๋ฏธ์„ธ์•„๊ต์„ธํฌ์˜ STAT3 ์œ ์ „์ž ํ™œ์„ฑ์„ ์–ต์ œ์‹œ์ผฐ๊ณ , ์žฅ๊ธฐ๊ฐ„์˜ ์ŠคํŠธ๋ ˆ์Šค๋กœ ์šฐ์šธ์ฆ์„ ์œ ๋„ํ•œ ํ›„ ํ–‰๋™๋ถ„์„์‹คํ—˜์ธ ๊ฐ•์ œ ์ˆ˜์˜, ๊ผฌ๋ฆฌ ๋งค๋‹ฌ๋ฆฌ๊ธฐ, ์ž๋‹น ์„ ํ˜ธ ๋ฐ ์˜คํ”ˆ ํ•„๋“œ ํ…Œ์ŠคํŠธ๋ฅผ ์ˆ˜ํ–‰ํ•˜์—ฌ ํ•ญ์šฐ์šธ ์œ ์‚ฌ ํ–‰๋™์„ ๋ณด์ž„์„ ํ™•์ธํ–ˆ๋‹ค. ํฅ๋ฏธ๋กœ์šด ์ ์€ STAT3๊ฐ€ ๊ฒฐ์†๋œ ๋ฏธ์„ธ์•„๊ต์„ธํฌ๊ฐ€ ์ฃผ๋ณ€์˜ ์‹ ๊ฒฝ์„ธํฌ์™€ ์ƒํ˜ธ์ž‘์šฉ์„ ํ•˜์—ฌ ์‹ ๊ฒฝ์„ธํฌ๋กœ๋ถ€ํ„ฐ ๋Œ€์‹์„ธํฌ ์ฝœ๋กœ๋‹ˆ-์ž๊ทน์ธ์ž (M-CSF)์˜ ๋ถ„๋น„๋ฅผ ์ฆ๊ฐ€์‹œ์ผฐ๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ์ƒํ˜ธ์ž‘์šฉ์„ ํ•œ ์‹ ๊ฒฝ์„ธํฌ๋Š” M-CSF๋ฅผ ์ž๊ฐ€๋ถ„๋น„ํ•˜์—ฌ ํ•ญ์šฐ์šธ ์‹ ํ˜ธ์ „๋‹ฌ๊ฒฝ๋กœ๋กœ ์•Œ๋ ค์ง„ ERK1/2, Akt/GSK3ฮฒ๊ฐ€ ํ™œ์„ฑํ™” ๋˜์—ˆ๊ณ , ๋‡Œ-์œ ๋ž˜ ์‹ ๊ฒฝ์„ฑ์žฅ์ธ์ž (BDNF) ๋ฐœํ˜„์ด ์ฆ๊ฐ€๋˜์—ˆ๋‹ค. ERK1/2, Akt/GSK3ฮฒ ์˜ ํ™œ์„ฑํ™”์™€ BDNF ๋‹จ๋ฐฑ์งˆ์˜ ์‹ ๊ฒฝ์„ธํฌ์—์„œ์˜ ๊ธฐ๋Šฅ์€ ์‹ ๊ฒฝ์ „๋‹ฌ๋ฌผ์งˆ์˜ ๋ฐฉ์ถœ์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ์ž˜ ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ์ด๋Š” ๊ณง ๋งˆ์šฐ์Šค ๋ชจ๋ธ์—์„œ ๋ณด์—ฌ์ค€ ํ•ญ์šฐ์šธ ์œ ์‚ฌ ํ–‰๋™์„ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ๊ฐ€ ๋œ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, ๋ฏธ์„ธ์•„๊ต์„ธํฌ STAT3์˜ ๊ธฐ๋Šฅ ์žฅ์• ๋Š” M-CSF์— ์˜ํ•ด ๋งค๊ฐœ๋œ ์‹ ๊ฒฝ์„ธํฌ ํ™œ์„ฑ์„ ํ†ตํ•ด ์šฐ์šธ์ฆ ๊ด€๋ จ ํ–‰๋™์„ ์กฐ์ ˆํ•˜๋ฉฐ, ๋ฏธ์„ธ์•„๊ต์„ธํฌ ํŠน์ด์ ์ธ STAT3 ๊ธฐ๋Šฅ ์–ต์ œ๋Š” ๊ธฐ์กด์˜ ์šฐ์šธ์ฆ ์น˜๋ฃŒ๊ฐ€ ๊ฐ–๊ณ ์žˆ๋Š” ํ•œ๊ณ„์ ์„ ๊ทน๋ณต ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์น˜๋ฃŒ ์ „๋žต์ด ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.Neuron-microglia interactions play a crucial role in maintaining the neuroimmune system. The balance of neuroimmune system has emerged as an important process in the pathophysiology of depression. However, how neuron-microglia interactions contribute to major depressive disorders has been poorly understood. Herein, I demonstrated that microglia-derived neuronal changes induced antidepressive-like behavior by using microglia-specific signal transducer and activator of transcription 3 (STAT3) knockout (STAT3fl/flLysM-Cre+/-) mice. I found that microglia-specific STAT3 knockout mice showed antidepressive-like behavior in the forced swim, tail suspension, sucrose preference and open field tests. Surprisingly, the secretion of macrophage colony-stimulating factor (M-CSF) was increased from neuronal cells in the brains of STAT3fl/flLysM-Cre+/- mice. Moreover, the phosphorylation of antidepressant-targeting mediators and brain-derived neurotrophic factor (BDNF) expression were increased in the brains of STAT3fl/flLysM-Cre+/- mice as well as in neuronal cells in response to M-CSF stimulation. Collectively, microglial STAT3 regulates depression-related behaviors via M-CSF-mediated neuronal activity, suggesting that inhibition of microglial STAT3 might be a new therapeutic strategy for depression.ABSTRACT 1 CONTENTS 3 LIST OF TABLES AND FIGURES 4 LIST OF ABBREVIATIONS 7 INTRODUCTION 8 MATERIALS AND METHODS 13 RESULTS 26 FIGURES 36 DISCUSSION 89 REFERENCES 98 ABSTRACT IN KOREAN 110Docto

    Design, Synthesis and Application of Chiral Diamine-based Building Blocks via Diaza-Cope Rearrangement (DCR)

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ™”ํ•™๋ถ€(์œ ๊ธฐํ™”ํ•™์ „๊ณต), 2014. 2. ๊น€๋ณ‘๋ฌธ.Much interest has been concentrated in the vininal diamine chemistry since many metal-based catalyst and organocatalysts as well as biologically active molecules containing the diamine structure have been synthesized. Diaza-Cope rearrangement (DCR) is a versatile tool for providing a variety of symmetrically-substituted as well as non-symmetrically-substituted chiral vicinal diamines. As the DCR route was introduced, it has rendered the structural tuning and thus electronic diversification of diamino functionality at ease so that many chemists could discover and develop new catalysts and applications owing to the simplicity and effectiveness of the rearrangement. However, use of the DCR for the construction of chiral building blocks for physiologically active molecules or peptidomimetic structures has not been as actively pursued as for catalysts. The DCR allows for stereospecific synthesis of chiral vicinal diamines through the rearrangement of diimines prepared from 1,2-bis(2-hydroxyphenyl)-1,2-diaminoethane (hpen) and aldehydes. With a broad perspective, the chiral nonsymmetrical 1,2-disubstituted vicinal diamines could serve as suitable intermediates for the preparation of many physiologically active compounds. Using the hpen as a starting material, a number of useful chiral molecules containing diamine functionality can be synthesized. Piperazine-2-carboxylic acid has been utilized as an amino acid surrogate in many biologically active compounds. In Chapter 1, the development of an efficient route for enantiopure trans-3-arylpiperazine-2-carboxylic acid derivatives is described though the DCR process. A complete transfer of stereochemical integrity was observed for the transformation. Piperazine ring formation from the chiral 1,2-ethylenediamine derivatives using diphenylvinylsulfonium triflate, followed by oxidation using Ru(III)Cl3โ€ขH2O in the presence of NaIO4 provided the desired enantiopure trans-3-arylpiperazine-2-carboxylic acid derivatives. The rearrangement also allows us to prepare ฮณ,ฮด-diamino acids, which may be useful for the synthesis of Tamiflu-type antiviral agents as well as various biologically active compounds. In Chapter II, we report the one-pot reaction for the synthesis of ฮณ,ฮด-diimino esters with two adjacent chiral centers in enantiomerically pure form through DCR of diimines formed from (R,R)-hpen and aldehydes. DFT computation provides interesting understanding into the stereospecific rearrangement reaction. The crystal structure of the product diimine formed from the reaction of (R,R)-hpen and 2,6-dichlorobenzaldehyde shows that the reaction gives the product in S,S configuration. Preparation of vicinal quaternary carbon centers containing vicinal diamines is synthetically challenging task. In Chapter III, we show that the synthesis of a twinned alanine derivative is efficiently accomplished through the DCR method. Reaction between (R,R)-hpen and methyl pyruvate gives the diaza-Cope rearrangement product with good yield and excellent stereospecificity. The product containing two chiral quaternary carbon centers on vicinal position is characterized by high performance liquid chromatography (HPLC) and X-ray crystallography. DFT computation helps the understanding of why the diaza-Cope rearrangement takes place readily with methyl pyruvate but not with other ketones like acetone and substituted acetophenones. The structural prevalence of chiral vicinal diamines as versatile chiral building blocks has led to an intense demand of useful tools to simply and inexpensively determine the enantiomeric excess (ee) of the diamine molecules. In Chapter IV, we find that use of sugar molecules such as ribose and arabinose as chiral derivatizing agents is quite efficient in providing good analytical tool to determine the enantiopurities of C2-symmetric vicinal diamines. In this protocol, sugars or diamines do not need to be protected or modified in advance.CONTENTS Abstract 5 List of Figures 8 List of Schemes 9 List of Tables 10 Background 11 Chapter I. Synthesis of Chiral trans-3-Arylpiperazine-2- carboxylic Acid Derivatives 1. Introduction 24 2. Result and Discussion 26 3. Conclusion 33 4. Experimental 33 Chapter II. Stereospecific Synthesis of ฮณ,ฮด-Diamino Esters 1. Introduction 48 2. Result and Discussion 49 3. Conclusion 55 4. Experimental 56 Chapter III. Stereospecific Synthesis of a Twinned Alanine Ester 1. Introduction 67 2. Result and Discussion 69 3. Conclusion 76 4. Experimental 77 Chapter IV. Sugar as Chiral Derivatizing Agent for the Determination of the Enantiopurity of Vicinal Diamines 1. Introduction 81 2. Result and Discussion 82 3. Conclusion 86 4. Experimental 86 References 90 Appendix A (NMR spectra) 104 Appendix B (HPLC spectra) 142 Appendix C (Computational data) 167 Appendix D (Crystal data) 172 ๊ตญ๋ฌธ์ดˆ๋ก 204Docto

    Anterior clinoid mucocele coexisting with sphenoid sinus mucocele

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    An anterior clinoid mucocele, known to be extremely rare, can lead to visual complications due to its proximity to the optic nerve. We report a patient who developed visual disturbance due to an anterior clinoid mucocele. Interestingly, the anterior clinoid mucocele coexisted with a sphenoid sinus mucocele. When an anterior clinoid mucocele coexists with a sphenoid sinus mucocele, more deliberate diagnostic and therapeutic approaches must be considered according to our first experienceope

    ํ”Œ๋ผ์ฆˆ๋งˆ ๋””์›จํŒ…์„ ์ด์šฉํ•œ ๊ธˆ์† ๋‚˜๋…ธ๋ถ„๋ง array ์ œ์กฐ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์žฌ๋ฃŒ๊ณตํ•™๋ถ€, 2013. 2. ์ด์ •์ค‘.A new method of producing metal nanoparticle arrays was developed with the help of plasma-induced dewetting. Various metal films (Cu, Ag, Au, Si, Ni, Co, Ti) were successfully turned into nanoparticle arrays at low operating temperatures. The mechanism of the plasma-induced dewetting was also discussed. TEM and SEM images showed that the dewetting proceeded through heterogeneous hole nucleation mechanism. The nanoparticles produced by plasma-induced dewetting were more uniformly distributed on the substrate than those produced by thermal annealing. It was revealed that low process temperature of the plasma treatment prevented coarsening of the nanoparticles, and uniformly distributed holes on the film surface, resulting in uniform nanoparticle arrays, were detected during plasma treatment. According to AES (auger electron spectroscopy), oxidation of the nanoparticles occurred less during plasma treatment because of the low operating temperature. Even at the low temperature, ion bombardment which transfers high energy to the substrate surface atoms made dewetting possible. The uniformity of nanoparticle arrays was controlled by varying plasma parameters. Plasma density and electron temperature were controlled by varying working pressure and applied RF power. Sheath voltage was also controlled directly using substrate bias. It was found that uniform nanoparticle arrays were produced when hole generation was increased by using high ion bombardment energy. When a low amount of energy was transferred to the substrate, small numbers of holes were generated on the film surface, resulting in non-uniformly distributed nanoparticles.1. Introduction 2. Research background and theory 2.1 Dewetting of thin film 2.1.1 Liquid thin film dewetting 2.1.2 Solid-state dewetting of thin film 2.1.2.1 Hole formation 2.1.2.2 Hole growth 2.2 Inductively coupled plasma 3. Experimental procedure 3.1 Film deposition and post-treatment 3.2 Analysis methods 4. Result and Discussions 4.1 Formation of Cu nanoparticle arrays by plasma-induced dewetting 4.2 The hole nucleation mechanism of the plasma-induced dewetting 4.2.1 Surface morphology analysis with SEM 4.2.2 TEM analysis 4.2.3 AFM analysis 4.2.4 SLP analysis 4.3 Uniformity control of nanoparticle arrays 4.3.1 Process temperature effect 4.3.2 Ion bombardment energy effect 4.4 Various metal nanoparticle arrays produced by plasma-induced dewetting 4.4.1 Low melting temperature metals 4.4.2 High melting temperature metals 5. ConclusionDocto

    ๋‹ค๊ณต์„ฑ ์ธ์‚ฐ ์นผ์Š˜ ์„ธ๋ผ๋ฏน์Šค์˜ ์ œ์กฐ ๋ฐ ํŠน์„ฑ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์žฌ๋ฃŒ๊ณตํ•™๋ถ€,2001.Maste

    Genetic variation and transcriptome by developmental morphology and position of strobilus of Pinus densiflora f. multicaulis Uyeki

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ์‚ฐ๋ฆผ๊ณผํ•™๋ถ€(์‚ฐ๋ฆผํ™˜๊ฒฝํ•™์ „๊ณต),2019. 8. ๊ฐ•๊ทœ์„.Pinus densiflora f. multicaulis Uyeki is one of the unique varieties of pine trees and is distributed mainly in Korea and Japan. Unlike the pine tree, the trunk is not developed straightly, but several branches are separated from the beginning of the ground. Thus, various types of tree appear for each individual, and they have excellent value. P. densiflora f. multicaulis are rarely distributed in nature and propagate by combining them for commercial or research purposes. In addition, Pinus species have been reported to have bisexual strobilus mixed male and female organ, and the development of bisexual strobilus has been observed more frequently in other species than in other species. and recently some transcriptome analysis has been conducted in two overseas species. Also, studies on the reasons for the development of bisexual strobili in the pine trees and the factors determining the reproductive organs have been continuously carried out. In Korea, the genome sequencing project of Pinus densiflora is in the beginning stage, and genetic research on P. densiflora f. multicaulis is also in the basic stage. In this study, we selected P. densiflora f. multicaulis Uyeki that have a low height and a lot of strobili, and analyzed the characteristics of the strobili and mature cones of P. densiflora f. multicaulis by the morphological, transcriptomical and genetical variances differences. As a result of the analysis of cones and seeds, the on P. densiflora f. multicaulis showed a developmental pattern of sex transformation consistent with the results of the other species of pine trees. As a result of morphological analysis of the cones and seeds developed at the apical and lateral sides, it was found that side cones and seeds from the side cones had lower germination times and growth than the cones and seeds developed at the apical them. However, it was confirmed that the seeds obtained from the side cones were close to the germination rate of the seeds obtained from the apical cones. As a result of analysis of transcriptome, the LEA gene family, cyplp029 gene, WRKY transcription factor ZmWRKY17, and dhn_ESK2 and so on were expressed in male strobili. In the beginning of biosexual strobili, we identified PtLTP1 to control ethylene, PIN1 to transport Auxin and NPF7 which transports nitrogen respectively. In female strobili, gibberellin, which is always expressed specifically in female tissues, the precursors of hormones such as CYPs and gibberellin metabolism genes, which are involved in the biosynthesis of gibberellin and brassinosteroid, in addition, in female strobili of side part, LINE-1 retrotransposable element was identified. As a result of the SNPs comparative analysis of normal population only developed apical cones and abnormal population developed side cones, only 16,666 SNPs were found in the two groups. Homo / homo SNPs 92, all of which matched within the population and differ between groups, were selected. Mapping to the sequence and RNA-seq data of the reference genome at the selected SNPs site revealed the transposon PpRT1 of Pinus pinaster. The function of the sequence of the selected SNPs should be clarified through further studies. From the results of this study, it was found that the same cone as the apical of branch is also developed in the lateral of branches. And genes that are presumed to be expressed by the flower developmental structure of P. densiflora f. multicaulis can be selected. In addition, we could find genetic differences according to the location of female strobili. Future studies such as the functional study of the genes found in this study and the development of the markers according to the results of SNPs molecular markers will be necessary.๋ฐ˜์†ก(Pinus densiflora f. multicaulis Uyeki)์€ ์†Œ๋‚˜๋ฌด์˜ ๋…ํŠนํ•œ ํ’ˆ์ข… ์ค‘ ํ•˜๋‚˜๋กœ์จ ํ•œ๊ตญ๊ณผ ์ผ๋ณธ์— ์ฃผ๋กœ ๋ถ„ํฌํ•œ๋‹ค. ์†Œ๋‚˜๋ฌด์™€ ๋‹ฌ๋ฆฌ ์ค„๊ธฐ๊ฐ€ ๊ณง๊ฒŒ ๋ฐœ๋‹ฌํ•˜์ง€ ์•Š๊ณ  ์ง€์ƒ๋ถ€์—์„œ๋ถ€ํ„ฐ ์„ธ ๊ฐœ ์ด์ƒ ๋‹ค์ˆ˜์˜ ์ˆ˜๊ฐ„์ด ๊ฐˆ๋ผ์ ธ ๋‚˜์˜จ๋‹ค. ๊ทธ๋ฆฌํ•˜์—ฌ ๊ฐœ์ฒด ๋ณ„๋กœ ๋‹ค์–‘ํ•œ ์ˆ˜ํ˜•์ด ๋‚˜ํƒ€๋‚˜ ๊ด€์ƒ์  ๊ฐ€์น˜๊ฐ€ ๋›ฐ์–ด๋‚˜๋‹ค. ๋ฐ˜์†ก์€ ์ž์—ฐ์— ์ง‘๋‹จ๋ถ„ํฌํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๊ทนํžˆ ๋“œ๋ฌผ๋ฉฐ ์ƒ์—…์  ๋˜๋Š” ์—ฐ๊ตฌ์ ์ธ ๋ชฉ์ ์œผ๋กœ ์ ‘๋ชฉํ•˜์—ฌ ์ฆ์‹ํ•ด์™”๋‹ค. ๋”๋ถˆ์–ด ์†Œ๋‚˜๋ฌด์† ์ˆ˜์ข…๋“ค์€ ์•”๊ตฌํ™”์™€ ์ˆ˜๊ตฌํ™”๊ฐ€ ํ˜ผํ•ฉ๋˜์–ด ์žˆ๋Š” ์–‘์„ฑ๊ตฌํ™”๊ฐ€ ๋ฐœ์ƒํ•œ๋‹ค๊ณ  ๋ณด๊ณ ๋˜์–ด ์™”์œผ๋ฉฐ, ๋ฐ˜์†ก์—์„œ๋Š” ์–‘์„ฑ๊ตฌํ™”์˜ ๋ฐœ๋‹ฌ์ด ๋‹ค๋ฅธ ์ˆ˜์ข…๋ณด๋‹ค ๋งŽ์€ ๊ฒƒ์ด ๊ด€์ฐฐ๋˜์–ด์™”๋‹ค. ์ตœ๊ทผ์— ๋“ค์–ด์„œ์•ผ ํ•ด์™ธ์—์„œ ์†Œ๋‚˜๋ฌด์ข…์˜ ๋‘ ๊ฐ€์ง€ ์ˆ˜์ข…์—์„œ ์ „์‚ฌ์ฒด ๋ถ„์„์ด ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์†Œ๋‚˜๋ฌด์†์—์„œ ์–‘์„ฑ๊ตฌํ™”๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ์ด์œ ๋‚˜ ์ƒ์‹๊ธฐ๊ด€์„ ๊ฒฐ์ •ํ•˜๋Š” ์š”์ธ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ง€์†์ ์œผ๋กœ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ๊ตญ๋‚ด์—์„œ๋Š” ์†Œ๋‚˜๋ฌด(Pinus densiflora)์˜ ์œ ์ „์ฒด ํ•ด๋… ํ”„๋กœ์ ํŠธ๊ฐ€ ์‹œ์ž‘ํ•˜๋Š” ๋‹จ๊ณ„์— ์žˆ์œผ๋ฉฐ, ๋ฐ˜์†ก์— ๋Œ€ํ•œ ์œ ์ „์ ์ธ ์—ฐ๊ตฌ ๋˜ํ•œ ๊ธฐ์ดˆ๋‹จ๊ณ„์— ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์†Œ๋‚˜๋ฌด ์†์—์„œ ์ˆ˜๊ณ ๊ฐ€ ๋‚ฎ๊ณ  ๊ตฌํ™”๊ฐ€ ๋งŽ์ด ๋ฐœ๋‹ฌํ•˜๋Š” ๋ฐ˜์†ก์„ ์„ ์ •ํ•˜์—ฌ ๋ฐ˜์†ก์˜ ๊ตฌํ™” ๋ฐ ์„ฑ์ˆ™๊ตฌ๊ณผ์˜ ํŠน์„ฑ์„ ํ˜•ํƒœํ•™์ , ์ „์‚ฌํ•™์  ๊ทธ๋ฆฌ๊ณ  ์œ ์ „ํ•™์ ์ธ ์ฐจ์ด๋ฅผ ๋น„๊ต ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ตฌ๊ณผ์™€ ์ข…์ž ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ฐ˜์†ก์ด ๊ธฐ์กด ์†Œ๋‚˜๋ฌด ์†์˜ ํƒ€์ˆ˜์ข… ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์™€ ๋™์ผํ•œ ์„ฑ์ „ํ™˜ํ•˜๋Š” ์–‘์„ฑ๊ตฌํ™”์˜ ๋ฐœ๋‹ฌ ํ˜•ํƒœ๋ฅผ ๋ณด์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ •๋‹จ๋ถ€์™€ ์ธก๋ฉด๋ถ€์—์„œ ๋ฐœ๋‹ฌํ•œ ๊ตฌ๊ณผ ๋ฐ ์ข…์ž๋ฅผ ํ˜•ํƒœํ•™์ ์œผ๋กœ ๋น„๊ต ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์ธก๋ฉด๋ถ€์—์„œ ๋ฐœ์ƒํ•œ ๊ตฌ๊ณผ์™€ ์ธก๋ฉด๋ถ€ ๊ตฌ๊ณผ์—์„œ ์ƒ์‚ฐ๋œ ์ข…์ž๊ฐ€ ์ •๋‹จ๋ถ€์—์„œ ๋ฐœ๋‹ฌํ•œ ๊ตฌ๊ณผ ๋ฐ ์ข…์ž์™€ ๋น„๊ตํ•˜์—ฌ ๋ฐœ์•„ํ•˜๋Š” ์‹œ๊ธฐ์™€ ์ƒ์žฅ์ด ์ €์กฐํ•˜๋‹ค๋Š” ๊ฒƒ์ด ๋ฐํ˜€์กŒ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‹œ๊ฐ„์ด ์ง€๋‚˜๋ฉด ์ธก๋ฉด๋ถ€์—์„œ ์–ป์€ ์ข…์ž๊ฐ€ ์ •๋‹จ๋ถ€์—์„œ ์–ป์€ ์ข…์ž์˜ ๋ฐœ์•„์œจ์— ๊ฐ€๊นŒ์›Œ์ง€๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ตฌํ™”๋“ค์˜ ์ „์‚ฌ์ฒด ๋ถ„์„ ๊ฒฐ๊ณผ, ์ˆ˜๊ตฌํ™”์—๋Š” LEA gene family์™€ cyplp029 gene, WRKY transcription factor ZmWRKY17, dhn_ESK2 ๋“ฑ์ด ๋ฐœํ˜„ํ•˜์˜€์œผ๋ฉฐ, ์–‘์„ฑ๊ตฌํ™”์˜ ์‹œ์ž‘๋‹จ๊ณ„์—์„œ๋Š” ์—ํ‹ธ๋ Œ(ethylene)์„ ์กฐ์ ˆํ•˜๋Š” PtLTP1, ์˜ฅ์‹ (Auxin)์„ ์ˆ˜์†กํ•˜๋Š” PIN1, ์งˆ์†Œ๋ฅผ ์ˆ˜์†กํ•˜๋Š” NPF7.3์„ ๋™์ •ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์•”๊ตฌํ™”์—์„œ๋Š” ์กฐ์ง์— ์ƒ์‹œ ํŠน์ด์ ์œผ๋กœ ๋ฐœํ˜„ํ•˜๋Š” ์ง€๋ฒ ๋ ๋ฆฐ๊ณผ ๋ธŒ๋ผ์‹œ๋…ธ์Šคํ…Œ๋กœ์ด๋“œ ์ƒํ•ฉ์„ฑ์— ๊ด€์—ฌํ•˜๋Š” CYPs, gibberellin metabolism genes ๋“ฑ ํ˜ธ๋ฅด๋ชฌ์˜ ์ „๊ตฌ์ฒด๋“ค์ด ์ฃผ๋กœ ๋™์ •๋˜์—ˆ๋‹ค. ํŠนํžˆ, ์ธก๋ฉด๋ถ€์—์„œ ๋ฐœ๋‹ฌํ•˜๋Š” ์•”๊ตฌํ™”์—์„œ๋Š” LINE-1 retrotransposable element๋ฅผ ๋™์ •ํ•˜์˜€๋‹ค. ๋‹น๋…„์ง€ ์ •๋‹จ์—์„œ๋งŒ ๊ตฌ๊ณผ๊ฐ€ ๋ฐœ๋‹ฌํ•˜๋Š” ์ง‘๋‹จ(AC, apical cone)๊ณผ ์ •๋‹จ ๋ฐ ์ธก๋ฉด์—์„œ ๊ตฌ๊ณผ๊ฐ€ ๋ฐœ๋‹ฌํ•˜๋Š” ์ง‘๋‹จ(SC, side cone)์˜ ๋น„๊ต ๋ถ„์„ ๊ฒฐ๊ณผ 16,666๊ฐœ์˜ SNP๊ฐ€ ๋‘ ์ง‘๋‹จ๊ฐ„์— ์ฐจ์ด๊ฐ€ ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ•˜์˜€์œผ๋ฉฐ, ๊ทธ ์ค‘ ์ง‘๋‹จ ๋‚ด์—์„œ ๋ชจ๋‘ ์ผ์น˜ํ•˜์ง€๋งŒ ์ง‘๋‹จ๊ฐ„์— ์ฐจ์ด๊ฐ€ ๋‚˜๋Š” homo/homo SNPs 92๊ฐœ๋ฅผ ์„ ๋ณ„ํ•˜์˜€๋‹ค. ์„ ๋ณ„ํ•œ SNPs ์œ„์น˜์˜ reference genome์˜ ์„œ์—ด๊ณผ RNA-seq ๋ฐ์ดํ„ฐ์— mappingํ•œ ๊ฒฐ๊ณผ Pinus pinaster์˜ transposon PpRT1์„ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์„ ๋ฐœํ•œ SNP์— ๋Œ€ํ•œ ์œ„์น˜์˜ ์„œ์—ด์ด ์–ด๋–ค ๊ธฐ๋Šฅ์„ ํ•˜๊ณ  ์žˆ๋Š”์ง€๋Š” ์•„์ง ์ถ”๊ฐ€ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ๋ฐ์—ฌ๋‚˜๊ฐ€์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•˜์—ฌ ๋‹น๋…„์ง€ ์ธก๋ฉด์—์„œ๋„ ์ •๋‹จ๊ณผ ๋™์ผํ•œ ์•”๊ตฌํ™”๊ฐ€ ๋ฐœ๋‹ฌํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ ๋ฐ˜์†ก์˜ ํ™”๊ธฐ ๊ตฌ์กฐ์— ๋”ฐ๋ผ ๋ฐœํ˜„ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์ •ํ•˜๋Š” ์œ ์ „์ž๋“ค์„ ์„ ๋ณ„ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์•”๊ตฌํ™”์˜ ๋ฐœ์ƒ ์œ„์น˜์— ๋”ฐ๋ฅธ ์œ ์ „์  ์ฐจ์ด๋ฅผ ๋ฐœ๊ฒฌ ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํ–ฅํ›„ ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋ฐœ๊ฒฌํ•œ ์œ ์ „์ž๋“ค์˜ ๊ธฐ๋Šฅ ์—ฐ๊ตฌ์™€ SNPs ๋ถ„์žํ‘œ์ง€ ๋ถ„์„ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅธ ํ‘œ์ง€ ๊ฐœ๋ฐœ ๋“ฑ ํ›„์† ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์ด๋‹ค.์ œ1์žฅ ๋ฐ˜์†ก์˜ ๊ตฌํ™” ๋ฐœ๋‹ฌ ๋ฐ ๊ตฌ๊ณผ ๋ถ„์„ 1 ์ œ1์ ˆ ์„œ๋ก  1 ์ œ2์ ˆ ์—ฐ๊ตฌ์‚ฌ 3 ์ œ3์ ˆ ์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ• 9 3.1 ๋ฐ˜์†ก์˜ ๊ตฌํ™” ์ฑ„์ทจ 9 3.2 ๊ตฌํ™” ์‹ค์ฒดํ˜„๋ฏธ๊ฒฝ ๊ด€์ฐฐ 9 3.3 ๋ฐ˜์†ก์˜ ์ •๋‹จ๋ถ€ ๋ฐœ๋‹ฌ๊ตฌ๊ณผ ๋ฐ ์ธก๋ฉด๋ถ€ ๋ฐœ๋‹ฌ๊ตฌ๊ณผ ์ฑ„์ทจ 10 3.4 ๊ตฌ๊ณผ ํ˜•ํƒœ์˜ ์ธก์ • ๋ฐ ๋ถ„์„ 10 3.5 ์ข…์ž์˜ ๋ฐœ์•„ํ…Œ์ŠคํŠธ 11 ์ œ4์ ˆ ๊ฒฐ๊ณผ 12 4.1 ๊ตฌํ™”์˜ ๊ตฌ์กฐ ๊ด€์ฐฐ 12 4.1.1 ์ •๋‹จ๋ถ€์™€ ์ธก๋ฉด๋ถ€ ๊ตฌํ™”์˜ ํ˜•ํƒœ์  ๋น„๊ต 12 4.1.2 ๊ตฌํ™”์˜ ์„ฑ์ˆ™๊ณผ ์ˆ˜๋ถ„ 13 4.1.3 ํ•œ ๋‹น๋…„์ง€ ๋‚ด์—์„œ ๋ฐœ๋‹ฌํ•˜๋Š” ๊ตฌํ™”์˜ ์กฐํ•ฉ 17 4.2 ๊ตฌ๊ณผ ๋ฐ ์ข…์ž ํŠน์„ฑ ๋น„๊ต 19 ์ œ5์ ˆ ๊ฒฐ๋ก  ๋ฐ ๊ณ ์ฐฐ 29 ์ œ2์žฅ ๋ฐ˜์†ก ๊ตฌํ™”์˜ ์ „์‚ฌ์ฒด ๋ถ„์„ 32 ์ œ1์ ˆ ์„œ๋ก  32 ์ œ2์ ˆ ์—ฐ๊ตฌ์‚ฌ 34 ์ œ3์ ˆ ์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ• 37 3.1 ๋ฐ˜์†ก์˜ ๊ตฌํ™” ์ฑ„์ทจ ๋ฐ RNA ์ถ”์ถœ 37 3.2 Sequencing๊ณผ Quality control 37 3.3 de novo assembly and Annotation 37 3.4 Annotation of transcripts 38 ์ œ4์ ˆ ๊ฒฐ๊ณผ 39 4.1 De novo assembly 39 4.2 Gene expression profiling 40 4.3 Grouping of subclusters by expression pattern 45 4.3.1 Annotation by gene data base and blastn searching 47 4.3.2 Expression pattern Analysis of Group 1 48 4.3.3 Expression pattern Analysis of Group 2 54 4.3.4 Expression pattern Analysis of Group 3 60 4.3.5 Expression pattern Analysis of Group 4 67 4.3.6 Expression pattern Analysis of Group 6 71 ์ œ5์ ˆ ๊ฒฐ๋ก  ๋ฐ ๊ณ ์ฐฐ 75 ์ œ3์žฅ ๋ฐ˜์†ก ์•”๊ตฌํ™” ๋ฐœ๋‹ฌ ์œ„์น˜์— ๋”ฐ๋ฅธ ์œ ์ „์ฒด ๋ณ€์ด 78 ์ œ1์ ˆ ์„œ๋ก  78 ์ œ2์ ˆ ์—ฐ๊ตฌ์‚ฌ 79 ์ œ3์ ˆ ์žฌ๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ• 81 3.1 ๋ฐ˜์†ก ์ƒ˜ํ”Œ๋ง๊ณผ DNA ์ถ”์ถœ ๊ทธ๋ฆฌ๊ณ  sequencing 81 3.2 SNP discovery 81 ์ œ4์ ˆ ๊ฒฐ๊ณผ 83 4.1 Reads output of genomicDNA of the 10 samples 83 4.2 SNPs discovery and filtering 83 4.3 SNPs selection 83 4.4 SNPs mapping on transcripts data 83 ์ œ5์ ˆ ๊ฒฐ๋ก  ๋ฐ ๊ณ ์ฐฐ 87 ์ œ4์žฅ ์ข…ํ•ฉ๊ฒฐ๋ก  89 ์ œ5์žฅ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 91 ์ฐธ๊ณ ๋ฌธํ—Œ 92 Abstract 105 Supplemental data 108Docto

    OX40 ๋ฆฌ๊ฐ„๋“œ๋ฅผ ๋ฐœํ˜„ํ•˜๋Š” ์ง€์ง€ ์„ธํฌ ๊ธฐ๋ฐ˜ NK ์„ธํฌ ์ฆํญ ๊ธฐ์ˆ  ๊ฐœ๋ฐœ

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    DoctorNatural killer (NK) cell-based immunotherapy used to treat cancer requires the adoptive transfer of a large number of activated NK cells. To increase NK cells in numbers and improve their antitumor activity for clinical applications, ex vivo cultivation is a effective method. Recently, a remarkable activation and expansion of NK cells was achieved using K562 cells genetically engineered to express cytokines and co-stimulatory factors and additional novel co-stimulatory factors for NK cell activation and expansion are continuously being sought. In addition, the mechanism of NK cell expansion through the interaction between genetically engineered feeder cells expressing co-stimulatory factors and NK cells has not been elucidated. To address this problem, we developed genetically engineered K562 feeder cells expressing OX40 ligand (K562-OX40L). Using this new feeder cells, we systematically studied the roles of OX40 ligand for NK cell expansion. First, we demonstrated that NK cell purity, expansion rate were significantly augmented cultured with K562-OX40L compared to conventional K562. Second, we identified transient exposure to IL-21 had a synergistic effect with OX40 signaling for NK cell expansion. Finally, we demonstrated that homotypic interaction between NK cells through the OX40-OX40L axis is necessary for NK cell expansion

    Cyclooxygenase inhibitors induce apoptosis in sinonasal cancer cells by increased expression of nonsteroidal anti-inflammatory drug-activated gene

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    Nonsteroidal anti-inflammatory drug-activated gene-1 (NAG-1) has recently been shown to be induced by nonsteroidal anti-inflammatory drugs (NSAIDs) and to have proapoptotic and antitumorigenic activities. Although sulindac sulfide induced apoptosis in sinonasal cancer cells, the relationship between NAG-1 and NSAIDs has not been determined. In this study, we investigated the induction of apoptosis in sinonasal cancer cells treated by various NSAIDs and the role of NAG-1 expression in this induction. The effect of NSAIDs on normal human nasal epithelial (NHNE) cells was also examined to evaluate their safety on normal cells. Finally, the in vivo anti-tumorigenic activity of NSAIDs in mice was investigated. In AMC-HN5 human sinonasal carcinoma cells, indomethacin was the most potent NAG-1 inducer and caused NAG-1 expression in a time- and dose-dependent manner. The induction of NAG-1 expression preceded the induction of apoptosis. Conditioned medium from NAG-1-overexpressing Drosophila cells inhibited proliferation of sinonasal cancer cells and induced apoptosis. In addition, in NAG-1 small interfering RNA-transfected cells, apoptosis induced by indomethacin was suppressed. In contrast, NAG-1 expression and apoptosis were not induced by NSAIDs or conditioned medium in NHNE cells. Furthermore, indomethacin induced a dose-dependent in vivo increase in the expression of NAG-1 mRNA in the mice tumors and the volume of xenograft tumors of AMC-HN5 cells in indomethacin-treated nude mice was reduced compared to that in control mice. In conclusion, indomethacin exerts proapoptotic and antitumorigenic effects in sinonasal cancer cells through the induction of NAG-1 and can be considered a safe and effective chemopreventive agent against sinonasal cancerope
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