18 research outputs found

    ์ฒ˜๋…€์ž๋ฆฌ์€ํ•˜๋‹จ๊ณผ M85์˜ ๊ตฌ์ƒ์„ฑ๋‹จ๊ณ„

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ๋ฌผ๋ฆฌยท์ฒœ๋ฌธํ•™๋ถ€, 2017. 8. ์ด๋ช…๊ท .This thesis presents a study of the globular clusters (GCs) in the Virgo cluster and M85 based on the comprehensive photometric and spectroscopic surveys. The GCs are of great use to trace the formation and evolution history of their host environments. We investigate the origin of intracluster GCs (IGCs) in the Virgo cluster as well as the GCs in the merger remnant galaxy M85. We present the results of a wide-field spectroscopic survey of GCs in the Virgo cluster. We obtain spectra for 201 GCs and 55 ultracompact dwarfs (UCDs) using Hectospec on the Multiple-Mirror Telescope and derive their radial velocities. We identify 46 genuine IGCs, not associated with any Virgo galaxies, using the 3D GMM test on the spatial and radial velocity distribution. They are located at a projected distance 200 kpc < R < 500 kpc from the center of M87. The radial velocity distribution of these IGCs shows two peaks, one at vr =1023 km sโˆ’1, associated with the Virgo main body, and another at vr = 36 km sโˆ’1, associated with the infalling structure. The velocity dispersion of the IGCs in the Virgo main body is sigma_IGC โˆผ 314 km sโˆ’1, which is smoothly connected to the velocity dispersion profile of M87 GCs but is much lower than that of dwarf galaxies in the same survey field, sigma_dwarf โˆผ 608 km sโˆ’1. The UCDs are more centrally concentrated on massive galaxiesโ€“M87, M86, and M84. The radial velocity dispersion of the UCD system is much smaller than that of dwarf galaxies. Our results confirm the large-scale distribution of Virgo IGCs indicated by previous photometric surveys. The color distribution of the confirmed IGCs shows a bimodality similar to that of M87 GCs. This indicates that most IGCs are stripped off dwarf galaxies and some off massive galaxies in the Virgo. M85 is one of nearby merger remnant galaxies that underwent merging events a few Gyrs ago. The GCs in M85 are surveyed with the MegaCam attached at 3.6m Canada-French-Hawaii telescope. We obtain ugi-band images of 1โ—ฆร— 1โ—ฆ field around M85.We identify 1318 GC candidates among point sources in the survey region using color and magnitude criteria. The GC candidates are well concentrated on M85 but show more extended spatial distribution than the galaxy light. The effective radius of the entire GC system is about 5.โ€ฒ54, corresponding to 29 kpc. The color distribution of the GC candidates shows two peaks of (gโˆ’i)0 = 0.65 and 0.87. We detect the green GC population in the inner region R < 2' in addition to blue and red GC populations. The radial number density profile and the surface number density map of the blue GC system show more extended features than those of red GC system. The effective radii of the blue and red GC systems are 7.'41 and 2.'31, respectively. The spatial distributions of both blue and red GC systems are elongated, which are similar to galaxy light. This feature differs from that shown in typical early-type galaxies. We suggest that the presence of the green GCs and the elongated spatial distribution of the blue and red GC systems are merger-induced features. We present the first spectroscopic study of GCs in the merger remnant galaxy M85 using two instruments: Gemini Multi-Object Spectrograph (GMOS) attached at the 8.1m Gemini-North telescope and Hectospec on the 6.5m Multiple-Mirror Telescope. We obtain the spectra for 20 GCs as well as the nucleus of M85 using the Gemini/GMOS. The radial velocities of the GCs range from 396 km sโˆ’1 to 1127 km sโˆ’1, which is consistent with that of the M85 nucleus (vr = 743 ยฑ 8 km sโˆ’1). We find a signal of rotation of M85 GC system, and estimate their rotation-corrected radial velocity dispersion as 154 km sโˆ’1. The ages and metallicities of the GCs are derived from Lick indices and full spectrum fitting. We detect the intermediate-age population of which mean age is 4.0 ยฑ 2.0 Gyr with solar metallicities ([Fe/H] โˆผ โ€“0.19), comprising 50% of the observed GCs, as well as old population. This suggests that M85 experienced a wet merging event about 4 Gyrs ago. In addition, we obtain the spectra for 53 GCs including 11 IGCs using the MMT/Hectospec. The radial velocities of the GCs range from โˆผ 400 km sโˆ’1 to โˆผ 1600km sโˆ’1. We classify the GC sample into three categories, blue and red GCs in M85, and IGCs. We select the GCs that belong to M85 with two criteria: vr < 1200 km sโˆ’1 and R < 20', and the other GCs are considered as IGCs. The color criterion (gโˆ’i)0 = 0.8 is used to divide the M85 GCs into blue and red ones. All red GCs are located within R < 6', while the blue ones are distributed to R โˆผ 20'. We investigate the kinematics of the GC system of M85. The entire M85 GC system shows overall rotation as shown in the GC sample of GMOS observation. The red GC system shows more clear rotation feature than the blue GC system despite the small sample. The rotation axis of the GC system of M85 is clearly different from that of the central galaxy light. We derive the rotation-corrected radial velocity dispersion of two GC systems: sigma_r = 149 ยฑ 20 km sโˆ’1 for blue GCs and sigma_r = 51 ยฑ 14 km sโˆ’1 for red GCs. The rotation-corrected velocity dispersion of red GC system is much lower than that of blue GC system. The strong rotation feature of the GC system and kinematically decoupled GC system from the stellar light are suspected to be caused by merging events. The kinematics of the M85 GCs and IGCs are clearly different from each other. The mean radial velocities of M85 GCs and IGCs are 765 ยฑ 27 km sโˆ’1 and 1012 ยฑ 108 km sโˆ’1, respectively. The radial velocity dispersion of the IGCs is 354 ยฑ 78 km sโˆ’1, which is higher than that of the M85 GCs and similar to that of dwarf galaxies in the survey region (sigma = 330ยฑ95 km sโˆ’1). This indicates that the IGCs are governed by the gravitational potential of the galaxy cluster.1 Introduction 1 1.1 Globular Clusters 1 1.2 GCs in Early-type Galaxies 2 1.3 GCs in Interesting Environments 4 1.3.1 Wandering GCs 4 1.3.2 GCs in Merger Remnant Galaxies 5 1.4 IGCs in the Virgo 6 1.5 GCs in M85 6 1.6 Purpose and Outline of the Thesis 8 2 To the Edge of M87 and Beyond: Spectroscopy of IGCs and Ultra Compact Dwarfs in the Virgo Cluster 11 2.1 Introduction 11 2.2 Observation and Data Reduction 14 2.2.1 Target Selection for Spectroscopy 14 2.2.2 Spectroscopic Observation 16 2.2.3 Data Reduction and Radial Velocity Measurement 18 2.3 Results 19 2.3.1 Construction of GC and UCD samples 19 2.3.2 Radial Velocity and Velocity Dispersion Profiles of GCs and UCDs 40 2.4 Discussion 48 2.4.1 The Number of Virgo IGCs 48 2.4.2 Color Distribution of IGCs 50 2.4.3 Dynamical State of the Virgo Cluster 54 2.4.4 The Origin of Virgo UCDs 56 2.5 Summary 61 3 A Wide-field Photometry of GCs in the Merger Remnant Galaxy M85 65 3.1 Introduction 65 3.2 Observation and Data Reduction 67 3.2.1 Observation 67 3.2.2 Photometry and Standard Calibration 68 3.3 Results 68 3.3.1 GC Selection 68 3.3.2 Surface density of GC candidates 70 3.3.3 Color Distribution of GCs 76 3.3.4 Radial trend of GC colors 80 3.3.5 Surface density of BGCs and RGCs 83 3.4 Discussion 85 3.4.1 Substructures of M85 GC system 85 3.4.2 Merging Signatures on M85 GC system 88 3.5 Summary 90 4 Ages and Metallicities of GCs in the Merger Remnant Galaxy M85 91 4.1 Introduction 91 4.2 Observation and Data Reduction 93 4.2.1 Target Selection for Spectroscopy 93 4.2.2 Spectroscopic Observation and Data Reduction 93 4.3 Radial Velocity Measurements and Membership 97 4.4 Age, [Z/H], and [alpha/Fe] Measurements 100 4.4.1 Lick Indices 100 4.4.2 Full Spectrum Fitting 103 4.5 Results 104 4.5.1 Comparison of Parameters Derived From Different Methods 104 4.5.2 Age and Metallicity Distribution of M85 GCs 110 4.5.3 Kinematics of the GC System in M85 114 4.6 Discussion 115 4.6.1 Kinematically Decoupled System Between GCs and Stellar Light 115 4.6.2 Merging History of M85 120 4.7 Summary 121 5 A Wide-field Spectroscopy of the GC System of the Merger Remnant Galaxy M85 123 5.1 Introduction 123 5.2 Observation and Data Reduction 125 5.2.1 Target Selection for Spectroscopy 125 5.2.2 Spectroscopic Observation and Data Reduction 125 5.2.3 Radial Velocity Measurements 129 5.3 Results 129 5.3.1 GC Selection and Membership Determination 129 5.3.2 Kinematics of the GC System in M85 132 5.4 Discussion 140 5.4.1 Rotation of the GC System of M85 140 5.4.2 Kinematics of IGCs 144 5.4.3 Dynamical Mass of M85 145 5.5 Summary 147 6 Summary and Conclusion 149 Bibliography 155 A Database for M85 GCs 167 ์š” ์•ฝ 211Docto

    C/EBP ฮฑ ์™€ PPARฮณ2์™€ ์ƒํ˜ธ์ž‘์šฉ์„ ํ†ตํ•ด lipin1์ด ์ง€๋ฐฉ ์„ธํฌ์˜ ๋ถ„ํ™”์™€ ์œ ์ง€์— ์˜

    No full text
    Dept. of Medical Science/๋ฐ•์‚ฌ[ํ•œ๊ธ€] [์˜๋ฌธ]Lipin1 expression was induced at a late stage of differentiation of 3T3-L1 preadipocytes and maintained at high level in mature adipocytes. Knockdown of expression of lipin1 by small interfering RNA (siRNA) in 3T3-L1 preadipocytes almost completely inhibited differentiation into adipocytes, whereas overexpression of lipin1 accelerated adipocyte differentiation, demonstrating that lipin1 is required for adipocyte differentiation. In mature adipocytes, transfection of lipin1-siRNA decreased the expression of adipocyte functional genes, indicating the involvement of lipin1 in the maintenance of adipocyte function. Lipin1 increases the transcription-activating function of PPARฮณ2 via direct physical interaction, whereas lipin1 did not affect the function of other adipocyte-related transcription factors, such as C/EBPฮฑ, LXRฮฑ or SREBP-1c. In mature adipocytes, lipin1 was specifically recruited to the PPREs of the PEPCK gene, an adipocyte-specific gene. C/EBPฮฑ up-regulates lipin1 transcription by directly binding to the lipin1 promoter. Based on the existence of a positive feedback loop between C/EBPฮฑ and PPARฮณ2, we propose that lipin1 functions as an amplifier of the network between these factors, resulting in the maintenance of high levels of the specific gene expression that is required for adipogenesis and mature adipocyte functions.ope

    Identification of factors related to nurses' individual performance using a multilevel analysis

    No full text
    ๊ฐ„ํ˜ธํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€]๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐœ์ธ์„ฑ๊ณผ๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ์ •์ฑ…์  ์ ‘๊ทผ ์ „๋žต์„ ๋ชจ์ƒ‰ํ•˜๊ธฐ ์œ„ํ•ด ๊ฐœ์ธ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๊ฐœ์ธ์ˆ˜์ค€์˜ ํŠน์„ฑ๊ณผ ๊ฐ„ํ˜ธ๋‹จ์œ„์ธ ์ง‘๋‹จ์ˆ˜์ค€์˜ ํŠน์„ฑ์„ ๋ชจ๋‘ ๊ณ ๋ คํ•˜์—ฌ ๋‹ค์ˆ˜์ค€ ๋ถ„์„(multilevel analysis)์„ ์ ์šฉํ•œ ํšก๋‹จ์  ์กฐ์‚ฌ์—ฐ๊ตฌ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ ์ž๋ฃŒ๋Š” 2006๋…„ 2์›” 20์ผ๋ถ€ํ„ฐ 3์›” 20์ผ๊นŒ์ง€ ์„œ์šธ ๋ฐ 6๋Œ€ ๊ด‘์—ญ์‹œ์™€ ์ „๊ตญ 7๊ฐœ ๋„์˜ ์ด 28๊ฐœ ๋ณ‘์›์˜ 182๊ฐœ์˜ ๊ฐ„ํ˜ธ๋‹จ์œ„์— ์†ํ•œ 1966๋ช…์˜ ๊ฐ„ํ˜ธ์‚ฌ๋ฅผ ์ง‘๋ฝํ‘œ์ง‘(cluster sampling)ํ•˜์—ฌ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋Š” SAS 8.2๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ธฐ์ˆ ํ†ต๊ณ„๋ฐฉ๋ฒ•, Cronbach's ฮฑ ๊ณ„์ˆ˜, ์ƒ๊ด€๋ถ„์„(correlation analysis), Varimax rotation์— ์˜ํ•œ ์ฃผ์„ฑ๋ถ„๋ถ„์„, ๋‹ค์ˆ˜์ค€ ๋ถ„์„(multilevel analysis)์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค.๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ์ง€๊ฐํ•˜๋Š” ๊ฐ„ํ˜ธ์—…๋ฌด์„ฑ๊ณผ์™€ ๊ด€๋ จ๋œ ๊ฐœ์ธ์ˆ˜์ค€ ๋ณ€์ˆ˜๋Š” ์ง์œ„, ์ด๊ทผ๋ฌด๊ฒฝ๋ ฅ, ๊ณ ์šฉํ˜•ํƒœ, ์ž๊ธฐํšจ๋Šฅ๊ฐ, ๊ธ์ •์  ๊ฐ์ •์„ฑํ–ฅ, ๋ถ€์ •์  ๊ฐ์ •์„ฑํ–ฅ, ์ƒ์‚ฌ์˜ ์ง€์ง€, ๋™๋ฃŒ์˜ ์ง€์ง€์ด๋ฉฐ, ์ง‘๋‹จ์ˆ˜์ค€ ๋ณ€์ˆ˜๋กœ๋Š” ๊ฐ„ํ˜ธ๋‹จ์œ„ ์ง‘๋‹ดํšŒ ํšŸ์ˆ˜๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ์ง€๊ฐํ•˜๋Š” ์กฐ์ง์‹œ๋ฏผํ–‰๋™๊ณผ ๊ด€๋ จ๋œ ๊ฐœ์ธ์ˆ˜์ค€ ๋ณ€์ˆ˜๋Š” ์ง์œ„, ์ด๊ทผ๋ฌด๊ฒฝ๋ ฅ, ์ž๊ธฐํšจ๋Šฅ๊ฐ, ๊ธ์ •์  ๊ฐ์ •์„ฑํ–ฅ, ๋ถ€์ •์  ๊ฐ์ •์„ฑํ–ฅ, ์ƒ์‚ฌ์˜ ์ง€์ง€์ด๋ฉฐ, ์ง‘๋‹จ์ˆ˜์ค€ ๋ณ€์ˆ˜๋กœ๋Š” ์ง‘๋‹จ์‘์ง‘๋ ฅ, ๊ฐ„ํ˜ธ๋‹จ์œ„ ์›”ํ‰๊ท  ๊ธ‰์—ฌ์ˆ˜์ค€์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ์กฐ์ง์‹œ๋ฏผํ–‰๋™์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ๋ณ€์ˆ˜๋กœ์„œ ์ง‘๋‹จํšจ๋Šฅ๊ฐ์ด ์œ ์˜ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ์ง€๊ฐํ•˜๋Š” ์ง‘๋‹จ์‘์ง‘๋ ฅ์˜ ํšŒ๊ท€๊ณ„์ˆ˜๊ฐ€ ์ง‘๋‹จ๋ณ„๋กœ ๋ฌด์„ ์ ์œผ๋กœ ๋ณ€ํ™”ํ•˜์˜€๊ณ , ์ง‘๋‹จ์‘์ง‘๋ ฅ์ด ๊ฐ„ํ˜ธ์—…๋ฌด์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ์žˆ์–ด ์ง‘๋‹จ๊ฐ„ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์—…๋ฌด์„ฑ๊ณผ์™€ ์กฐ์ง์‹œ๋ฏผํ–‰๋™์˜ ๊ฐ„ํ˜ธ์‚ฌ ๊ฐœ์ธ์ˆ˜์ค€ ๋ถ„์‚ฐ์— ๋Œ€ํ•œ ๊ฐœ์ธ์ˆ˜์ค€ ์˜ˆ์ธก๋ณ€์ˆ˜๋“ค์˜ ์„ค๋ช…๋ ฅ์€ ๊ฐ๊ฐ 41.5%, 31.7%๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์—…๋ฌด์„ฑ๊ณผ์™€ ์กฐ์ง์‹œ๋ฏผํ–‰๋™์˜ ์ง‘๋‹จ์ˆ˜์ค€ ๋ถ„์‚ฐ์— ๋Œ€ํ•œ ์ง‘๋‹จ์ˆ˜์ค€ ์˜ˆ์ธก๋ณ€์ˆ˜๋“ค์˜ ์„ค๋ช…๋ ฅ์€ ๊ฐ๊ฐ 89.7%, 80.9%๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.์ด์™€ ๊ฐ™์€ ๊ฒฐ๊ณผ๋Š” ๊ฐœ์ธ์„ฑ๊ณผ๋ฅผ ์„ค๋ช…ํ•˜๋Š”๋ฐ ์žˆ์–ด ๊ธฐ์กด์˜ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐœ์ธ์  ์ˆ˜์ค€์˜ ์˜ค์ฐจ๋ณ€๋Ÿ‰๋งŒ์„ ์ œ์‹œํ•˜์˜€์ง€๋งŒ, ๋ณธ ์—ฐ๊ตฌ์˜ ๋‹ค์ˆ˜์ค€ ๋ถ„์„์„ ํ†ตํ•˜์—ฌ ๊ฐœ์ธ์  ์ˆ˜์ค€๊ณผ ์ง‘๋‹จ์  ์ˆ˜์ค€์˜ ์˜ค์ฐจ๋ณ€๋Ÿ‰์„ ์ œ์‹œํ•˜์—ฌ ๊ฐœ์ธ๊ณผ ์ง‘๋‹จ์ˆ˜์ค€์˜ ๋ณ€์ˆ˜๋ฅผ ํ†ตํ•˜์—ฌ ๋ถ„์‚ฐ์˜ ๋ณ€ํ™”๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์ฆ‰, ์ง‘๋‹จ์ˆ˜์ค€์˜ ๋ณ€์ˆ˜๊ฐ€ ์˜ค์ฐจ๋ณ€๋Ÿ‰์„ ์ค„์—ฌ์คŒ์„ ๋ณด์—ฌ ์ฃผ์—ˆ์œผ๋ฉฐ, ์ง‘๋‹จ์ˆ˜์ค€์˜ ๋ณ€์ˆ˜๊ฐ€ ๊ฐœ์ธ์ˆ˜์ค€์˜ ๋ถ„์‚ฐ๊ณผ ์ง‘๋‹จ์ˆ˜์ค€์˜ ๋ถ„์‚ฐ์— ๋ชจ๋‘ ์˜ํ–ฅ์„ ์ฃผ์–ด, ์ง‘๋‹จ์ˆ˜์ค€์˜ ๋ณ€์ˆ˜๊ฐ€ ๊ฐœ์ธ์„ฑ๊ณผ์— ์˜ํ–ฅ์„ ๋ฏธ์นจ์„ ํ™•์ธํ•˜์˜€๋‹ค.๊ฒฐ๋ก ์ ์œผ๋กœ ์ง‘๋‹จ์˜ ์š”์ธ์ด ์šฐ๋ฆฌ๋‚˜๋ผ ๋ณ‘์›๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐœ์ธ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด ์‹œํ–‰๋œ ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด์„œ ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐœ์ธ์„ฑ๊ณผ์—๋Š” ์ฐจ์ด๊ฐ€ ์กด์žฌํ•˜๋ฉฐ ์—ฌ๊ธฐ์—๋Š” ๊ฐ„ํ˜ธ์‚ฌ ๊ฐœ์ธ์  ์š”์ธ ์ด์™ธ์— ์ง‘๋‹จ์˜ ์š”์ธ์ธ ์ง‘๋‹จ์‘์ง‘๋ ฅ์ด ์ž‘์šฉํ•จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๊ฐ„ํ˜ธ ์กฐ์ง์„ฑ๊ณผ๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์ •์ฑ…์  ์ ‘๊ทผ์€ ๊ธฐ์กด์˜ ๊ฐœ์ธ์— ๋Œ€ํ•œ ๊ต์œก์ด๋‚˜ ํ›ˆ๋ จ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์ง‘๋‹จ์‘์ง‘๋ ฅ๊ณผ ์ง‘๋‹จํšจ๋Šฅ๊ฐ๊ณผ ๊ฐ™์€ ์ƒ์œ„์ˆ˜์ค€์˜ ์กฐ์ง์š”์ธ์— ๋Œ€ํ•œ ์ •์ฑ…์  ์ ‘๊ทผ์ด ํ•„์š”ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค๊ณ  ํ•˜๊ฒ ๋‹ค. [์˜๋ฌธ]The main purpose of this study was to identify factors related to nurses' individual performance using multilevel analysis which consider both characteristics in individual and nurses' groups. And the results of the study can help to suggest strategies to improve nurses' individual performance.The data was collected from 1,996 nurses using self-administered questionnaires between February, 20th and March, 20th 2006. Using the cluster sampling method, 182 nursing units in 28 hospitals from various regions such as Seoul, six metropolitan city, and seven provinces were selected. The data was analyzed by SAS 8.2 using descriptive statistics, Cronbach's ฮฑ coefficient, correlation analysis, principal component method with Varimax rotation and multilevel analysis.The results of the study indicated that individual level variables related to nursing performance, were job position, total years of experience, employment status, self-efficacy, positive affectivity, negative affectivity, supervisor support, and peer support. The group level variables were the number of conferences in a nursing unit. The individual level variables related to organizational citizenship behavior, were job position, the total years of experience, self-efficacy, positive affectivity, negative affectivity, and supervisor support. The group level variables were group cohesion and the average salary level of a nursing unit. The effective variable which affects organizational citizenship behavior was collective efficacy.The regression coefficient of group cohesion perceived by nurses was randomly changing between groups, and group cohesion had influenced differently on nursing performance between groups.The explanatory powers of individual level variables, which is related to individual level variances of nursing performance and organizational citizenship behavior were 41.5% and 31.7%, respectively. The explanatory powers of group level variables, which is related to group level variances of nursing performance and organizational citizenship behavior was 89.7% and 80.9%, respectively.The previous researches had limitations considering error variance on only individual levels, but this study considered error variances in group levels as well as individual levels using multilevel analysis. This study showed changing variances through variables in individual and group levels.In other words, this study showed that group level variables reduced error variances, and variables in group levels have influences on variances in both individual levels and group levels. Therefore, the high explanatory power of group level variables implies that hospital managers should consider group level variables to improve nurses' performance.In conclusion, this research showed that there were differences in individual performances between nurses and the differences came from group level factors such as group cohesion as well as individual level factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as group cohesion and collective efficacy to improve nursesโ€˜ individual performance.ope

    ๋ง๊ฐ„ ์‚ฐํ™”๋ฌผ ๋‚˜๋…ธ ์ด‰๋งค์˜ ํ‘œ๋ฉด ๊ธฐ๋Šฅํ™”๋ฅผ ํ†ตํ•œ ์ „์ž๊ตฌ์กฐ ์ œ์–ด ์—ฐ๊ตฌ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์žฌ๋ฃŒ๊ณตํ•™๋ถ€, 2016. 2. ๋‚จ๊ธฐํƒœ.Nature has selected various types of manganese enzymes due to good catalytic activity resulting from highly redox-active characteristics of manganese. In the meanwhile, multinuclear manganese enzymes are known to mediate reactions with high performance by the cooperative effects of each manganese ion in the structure. Interestingly, in this regards, photosynthetic water oxidase which has a tetranuclear Mn4CaO5 cluster in PS II is known to be the best catalyst for water oxidation among all reported. Inspired by this Mn-Ca cluster in nature, the Calcium EDTA chelates were functionalized on the manganese oxide nanoparticlesso to change the electronic structure of manganese and broaden the applicability of catalyst as a future work. In this work, the removal of myristic acid, the original ligand of manganese oxide nanoparticles, and successful ligand exchange to Ca-EDTA chelates were verified by the FT-IR spectroscopy. Moreover, the local structure on the surface of manganese oxide nanoparticles was suggested by the stretching vibration of COO- and bending vibration of C-N bondcalcium ion and manganese ion are proposed to form pseudo-bridge as a major state and the nitrogen atoms are suggested to chelate the manganese ion on the surface of manganese oxide nanoparticles. Partially, some carboxylate groups of EDTA are considered to be bound as unidentate and bidentate mode as a mixture. Also, electronic structural analysis of calcium EDTA chelated manganese oxide nanoparticles was performed by EPR analysis. The calcium-affected manganese ions are verified to have high axial zero-field-splitting (D ~ 0.023 cm^-1) compared to conventional Mn (II) (D = 0.014 cm^-1) by a multi-frequency EPR simulation and are demonstrated to have weak exchange coupling between manganese ions (J below 1 cm^-1) via temperature dependency analysis of EPR and SQUID. The observation of electronic structural change of manganese, the axial distortion in the ligand field of manganese and weak exchange coupling between manganese ions, in this work will be a pioneering model in heterogeneous system for further application to catalysis and in the meantime for better understanding of the role of calcium ion in Mn-Ca cluster in nature.Chapter 1 Introduction 1 1.1 Mn Based Natural Enzymes 1 1.2 Homogeneous Mn Based Synthetic Catalysts 7 1.3 Effects of Redox-inactive Metals on Catalysis 9 1.4 Importance of Hetero-Hybrid Catalytic Materials 15 1.5 Research Scope and Materials Design 18 Chapter 2 Experimental and Procedure 22 2.1 Surface Functionalization of Manganese Oxide NPs 22 2.1.1 Synthesis of Manganese (II) Oxide Nanoparticles 22 2.1.2 Surface Functionalization via Ligand Exchange 23 2.1.3 Decoration of Calcium ion 24 2.2 Characterization of Surface - Functionalized Manganese Oxide Nanoparticles 24 2.2.1 Powder X-ray Diffraction (XRD) 24 2.2.2 Scanning Electron Microscopy (SEM) 24 2.2.3 Transmission Electron Microscopy (TEM) 25 2.2.4 X-ray Absorption Spectroscopy (XAS) 25 2.2.5 Fourier Transform Infrared Spectroscopy (FT-IR) 26 2.2.6 Cyclic Voltammetry (CV) 26 2.2.7 Multi-frequency Electron Paramagnetic Resonance (EPR) 27 2.2.8 Superconducting Quantum Interference Device (SQUID) 27 Chapter 3 Results and Discussion 28 3.1 Characterization of Structure 28 3.1.1 Morphological Analysis 28 3.1.2 Phase Analysis 32 3.1.3 Local Structure Analysis 38 3.2 Characterization of Electronic Structure 56 3.2.1 Multi-frequency EPR 56 3.2.2 Non-Curie Behavior (Magnetic Coupling Effect) 61 3.2.3 Simulation of EPR Signal 66 Chapter 4 Effects of Redox-inactive Metals on Surface-Functionalized Mn Oxide NPs 71 4.1 Electronic Structural Change in Mn Oxide NPs 71 4.2 Change of Redox Property in Mn Oxide NPs 74 Chapter 5 Conclusion 76 References 78 ๊ตญ๋ฌธ ์ดˆ๋ก 87Maste

    Job analysis of the staff nurse in Cardiac Surgery Intensive Care Units.

    No full text
    ๊ฐ„ํ˜ธํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๋ณธ ์—ฐ๊ตฌ๋Š” ์„œ์šธ์‹œ ๋ฐ ๊ฒฝ๊ธฐ๋„๋‚ด ์ข…ํ•ฉ๋ณ‘์› ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค์—์„œ ๊ทผ๋ฌดํ•˜๋Š” ์ผ๋ฐ˜๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ์‹ค์ œ ์ˆ˜ํ–‰ํ•˜๊ณ  ์žˆ๋Š” ๊ฐ„ํ˜ธ์—…๋ฌด๋ฅผ ์กฐ์‚ฌํ•˜๊ณ  ๋ถ„์„ํ•จ์œผ๋กœ์จ ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ๊ฐ„ํ˜ธ์‚ฌ ์—…๋ฌด ํ‘œ์ค€์˜ ์„ค์ •๊ณผ ๊ฐ„ํ˜ธ์—…๋ฌด ๋‚ด์šฉ์˜ ํ‹€์„ ์ œ์‹œํ•˜๊ธฐ ์œ„ํ•œ ํ•ฉ๋ฆฌ์ ์ธ ์ œ๋„๋ฅผ ๋งˆ๋ จํ•˜๋Š”๋ฐ ํ•„์š”ํ•œ ๊ธฐ์ดˆ ์ž๋ฃŒ๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ธฐ ์œ„ํ•ด ์‹œ๋„๋˜์—ˆ๋‹ค. ๊ตฌ์ฒด์ ์ธ ๋ถ„์„๋ฐฉ๋ฒ•๊ณผ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ์ผ๋ฐ˜๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์—…๋ฌด์˜ ๋‚ด์šฉ์„ ๋ฌธํ—Œ๊ณ ์ฐฐ๊ณผ ์ „๋ฌธ๊ฐ€์ง‘๋‹จ์˜ ๊ฒ€ํ† ๋ฅผ ํ†ตํ•ด ์‹ค์ œ ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค์—์„œ ์ˆ˜ํ–‰๋˜๊ณ  ์žˆ๋Š” ๊ฐ„ํ˜ธํ™œ๋™์„ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ์งˆ๋ฌธ์ง€๋ฒ•๊ณผ ๊ด€์ฐฐ๋ฒ•์„ ์ด์šฉํ•˜์˜€๋‹ค. ๋ฌธํ—Œ๊ณ ์ฐฐ๊ณผ ์ „๋ฌธ๊ฐ€์ง‘๋‹จ์˜ ๊ฒ€ํ† ๋ฅผ ํ†ตํ•ด ์ธก์ • ๋ฐ ๊ด€์ฐฐ, ๋ชจ๋‹ˆํ„ฐ, ์‚ฐ์†Œ๊ณต๊ธ‰, ์˜์–‘, ๋ฐฐ์„ค ๋ฐ ๋ฐฐ์•ก, ๊ธฐ๋™์„ฑ, ์œ„์ƒ, ์•ˆ์ „, ์ฒด์˜จ์œ ์ง€, ์ˆ˜์ˆ ์ „ ์ค€๋น„, ๊ฒ€์‚ฌ๋ฌผ ์ฑ„์ทจ, ๊ฐ์ข… ์ฒ˜์น˜์˜ ์ค€๋น„ ๋ฐ ๊ฐ„ํ˜ธ, ํ”ผ๋ถ€ ๋ฐ ์ƒ์ฒ˜๊ฐ„ํ˜ธ, ๊ฐ์—ผ๊ด€๋ฆฌ, ํˆฌ์•ฝ, ์ƒ๋‹ด ๋ฐ ๊ต์œก, ์ž„์ข…๊ฐ„ํ˜ธ, ๊ธฐ๋ก ํ™•์ธ, ํ™˜์ž ์ธ์ˆ˜์ธ๊ณ„, ๋ฌผํ’ˆ๊ด€๋ฆฌ, ์‹œ์„ค๋ฌผ๊ด€๋ฆฌ, ํ™˜๊ฒฝ๊ด€๋ฆฌ, ์˜์‚ฌ์†Œํ†ต, ๊ต์œก, ์˜์‚ฌ์ฒ˜๋ฐฉ ํ™•์ธ, ์ „๋‹ฌ์—…๋ฌด, ํ‰๊ฐ€, ์ „๋ฌธ์ง ๊ฐœ๋ฐœ์˜ ์ด 28๊ฐœ ์˜์—ญ์˜ 254๊ฐœ ๊ฐ„ํ˜ธํ™œ๋™์ด ๊ฒฐ์ •๋˜์—ˆ๋‹ค. 2. 2002๋…„ 4์›” 12์ผ๋ถ€ํ„ฐ 2002๋…„ 4์›” 17์ผ๊นŒ์ง€ ์„œ์šธ์‹œ๋‚ด์™€ ๊ฒฝ๊ธฐ๋„๋‚ด ์ข…ํ•ฉ๋ณ‘์›์˜ ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค 2๊ฐœ ๊ธฐ๊ด€์—์„œ ๊ฐ„ํ˜ธ์‚ฌ 22๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ๊ฐ„ํ˜ธํ™œ๋™์กฐ์‚ฌ์ง€๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฐ„ํ˜ธํ™œ๋™์˜ ์ˆ˜ํ–‰๋„๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. 4์ผ๋™์•ˆ ์—ฐ๊ตฌ์ž 2์ธ์ด ๊ฐ„ํ˜ธ์‚ฌ 12๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์ง์ ‘๊ด€์ฐฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ๊ฐ„ํ˜ธํ™œ๋™์˜ ์ˆ˜ํ–‰ ๋นˆ๋„์™€ ์ƒˆ๋กœ์šด ๊ฐ„ํ˜ธํ™œ๋™์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ๊ฒฐ์ •๋œ ํ•ญ๋ชฉ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ฐ„ํ˜ธํ™œ๋™๋ณ„ ์ˆ˜ํ–‰๋„์™€ ์ˆ˜ํ–‰ ๋นˆ๋„๋ฅผ ์กฐ์‚ฌํ•œ ๊ฒฐ๊ณผ 28๊ฐœ ์—…๋ฌด๋ฒ”์ฃผ ์ค‘์—์„œ ๋ชจ๋‹ˆํ„ฐ 641ํšŒ(19.5%), ์ธก์ • ๋ฐ ๊ด€์ฐฐ์ด 554ํšŒ(16.8%), ๊ธฐ๋ก ํ™•์ธ 527ํšŒ(16.0%) ์ˆœ์œผ๋กœ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. 254๊ฐœ์˜ ๊ฐ„ํ˜ธํ™œ๋™์— 24๊ฐœ ๊ฐ„ํ˜ธํ™œ๋™์ด ์ง์ ‘๊ด€์ฐฐ๋ฒ•์— ์˜ํ•ด ์ƒˆ๋กญ๊ฒŒ ์ถ”์ถœ๋˜์—ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ 278๊ฐœ์˜ ๊ฐ„ํ˜ธํ™œ๋™์€ ์ „๋ฌธ๊ฐ€์— ์˜ํ•ด ๊ฒ€ํ† ๋˜์–ด ์ด 264๊ฐœ์˜ ๊ฐ„ํ˜ธํ™œ๋™๊ณผ 22๊ฐœ์˜ ์—…๋ฌด๋ฒ”์ฃผ๋กœ ์ˆ˜์ •๋˜์—ˆ๋‹ค. 3. ์งˆ๋ฌธ์ง€๋ฒ•๊ณผ ๊ด€์ฐฐ๋ฒ•์„ ํ†ตํ•ด ์ถ”์ถœํ•œ ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ์˜ˆ๋น„ ๊ฐ„ํ˜ธํ™œ๋™์„ ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ ์ด 25์ธ์˜ ๋‚ด์šฉํƒ€๋‹น๋„๋ฅผ ๊ฒ€์ฆํ•œ ํ›„ ์ตœ์ข… ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ๊ฐ„ํ˜ธ์—…๋ฌด ๋‚ด์šฉ์˜ ํ‹€์„ ํ™•์ •ํ•˜์˜€๋‹ค. ๋‚ด์šฉํƒ€๋‹น๋„๋ฅผ ํ†ตํ•ด ์ž‘์„ฑ๋œ ์ตœ์ข… ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ๊ฐ„ํ˜ธ์—…๋ฌด์˜ ํ‹€์€ ์‚ฌ์ •, ๊ฐ์‹œ, ํ˜ธ ํก๊ด€๋ฆฌ, ์˜์–‘๊ด€๋ฆฌ, ๋ฐฐ์„ค ๋ฐ ๋ฐฐ์•ก ๊ด€๋ฆฌ, ๊ธฐ๋™์„ฑ๊ด€๋ฆฌ, ์œ„์ƒ๊ด€๋ฆฌ, ์•ˆ์ „๊ด€๋ฆฌ, ์ฒด์˜จ๊ด€๋ฆฌ, ๊ฒ€์‚ฌ๋ฌผ ์ฑ„์ทจ, ๊ฐ์ข… ์ฒ˜์น˜์˜ ์ค€๋น„ ๋ฐ ๋ณด์กฐ, ํ”ผ๋ถ€ ๋ฐ ์ƒ์ฒ˜ ๊ด€๋ฆฌ, ๊ฐ์—ผ๊ด€๋ฆฌ, ํˆฌ์•ฝ๊ด€๋ฆฌ, ๊ต์œก ๋ฐ ์ง€์ง€, ์ž„์ข…๊ฐ„ํ˜ธ, ๊ธฐ๋ก ๋ฐ ๋ณด๊ด€, ๋ฌผํ’ˆ๊ด€๋ฆฌ, ํ™˜๊ฒฝ๊ด€๋ฆฌ, ์˜์‚ฌ์†Œํ†ต, ํ‰๊ฐ€, ์ „๋ฌธ์ง๊ฐœ๋ฐœ์˜ 22๊ฐœ ์—…๋ฌด๋ฒ”์ฃผ์˜ ์ด 231๊ฐœ ๊ฐ„ํ˜ธํ™œ๋™์œผ๋กœ ์ž‘์„ฑ๋˜์—ˆ๋‹ค. ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค์—์„œ ๊ทผ๋ฌดํ•˜๋Š” ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์—…๋ฌด๋Š” ์˜๋ฃŒ์ง„์˜ ํšจ์œจ์ ์ธ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•ด์„œ ๋ช…ํ™•ํžˆ ๊ทœ์ •๋˜์–ด์•ผ๋งŒ ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ์ผ๋ฐ˜๊ฐ„ํ˜ธ์‚ฌ์˜ ์—…๋ฌด๋กœ์„œ ๋ถ€์ ์ ˆํ•˜๊ณ  ํƒ€๋‹นํ•˜์ง€ ์•Š์€ ๋ช‡ ๊ฐ€์ง€์˜ ๊ฐ„ํ˜ธํ™œ๋™์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ์ผ๋ฐ˜ ๊ฐ„ํ˜ธ ์‚ฌ์— ๋Œ€ํ•œ ์ •ํ™•ํ•˜๊ณ  ๋ช…ํ™•ํ•œ ์—…๋ฌด๊ทœ์ •์€ ๋™๋ฃŒ์˜๋ฃŒ์ง„๊ฐ„์˜ ์—ญํ•  ๊ฐˆ๋“ฑ์„ ๊ฐ์†Œ์‹œํ‚ค๊ณ  ๊ฐ„ํ˜ธํ™œ๋™์˜ ํšจ์œจ์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š”๋ฐ ๊ธฐ์—ฌํ•  ๊ฒƒ์ด๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ, ์‹ฌ์žฅ์™ธ๊ณผ ์ค‘ํ™˜์ž์‹ค ๊ฐ„ํ˜ธ์‚ฌ์™€ ํ™˜์ž์˜ ๋งŒ์กฑ๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ฌ ๊ฒƒ์ด๋‹ค. [์˜๋ฌธ] This study was conducted to provide for a basic resource, which can be used to set up a efficient management system in Cardiac Surgery Intensive Care Units(CSICU). This rational system offers standards and a framework for nursing activities at CSICU. The study investigated and analyzed the nursing care activities of typical nurses employed in two general hospitals located in Seoul and the Kyonggi Province. The detailed ways of analyses and their findings are follows: 1. Questionnaires were administered and observation methods were used, to examine the nursing activities performed in the CSICU after having reviewed related literatures and a review by the experts. Thus, the nursing activities were designating 254 activities and classified into 28 categories under those nursing activities. These 28 categories of the nursing activities are measurements observation, monitoring, oxygen supply, nutrition, elimination drainage, sanitation, safety, temperature maintenance, surgery preparation, specimens collection, setting up and care of treatment, skin wound management, infection management, administration of medication, consultation/education, dying patient care, confirming of recordings, taking-over of patient, supplies management, facilities management, environment management, communications, education, confirming of doctor''s prescriptions, delivering tasks, evaluation, and professional development. 2. The 22 nurses in the 2 CSICUs filled out questionnaires about nursing activities from 12 April, 2002 to 17 April, 2002. The frequency of the nursing activities in the 28 categories counted and new nursing activities added by directly observing 12 nurses by two trained research staffs for 4 day. Out of the 28 categories, 641 monitoring (19.5%), 554 measurements observation (16.8%) and 527 confirming of recordings (16.0%) were observed. In addition to the 28 categories of the nursing activities, 24 nursing activities were newly selected by the direct observation and added to the existing 254 nursing activities. The resulting, 278 nursing activities, were examined by the experts and validated by the degree of agreement on their validity among the experts. Experts could adjust the 278 nursing activities to a total of the 264 nursing activities. And 28 categories were adjusted 22 categories by the experts. 3. In terms of validity, the 264 nursing activities were analysed by the 25 experts. As a result, 231 nursing activities were found valid and remained as appropriate nursing activities to be used for the careful analysis of the nursing activities in CSICUs. The 22 categories are as below: assessment, monitoring, respiration management, nutrition management, elimination drainage management, mobility management, sanitation management, safety management, temperature management, specimens collection, preparation and assistance of treatment, skin wound management, infection management, medication management, education support, dying patient care, recording keeping, supplies management, environment management, communications, evaluations, professional development. Nursing activities by nurses working in CSICU need to be clearly defined for an effective management of the medical staffs. In this study, we found some nursing activities invalid and inappropriate as the works of the staff nurse. The manifest job description of the staff nurse will contribute to improving the efficiency of the nursing activities and to reducing the role conflicts among the medical staffs. Eventually, it will heighten the satisfaction of patients as well as nurses in the CSICU.ope

    Up-regulation of acetyl-CoA carboxylase ฮฑ and fatty acid synthase by human epidermal growth factor receptor 2 at the translational level in breast cancer cells

    No full text
    Expression of the HER2 oncogene is increased in โˆผ30% of human breast carcinomas and is closely correlated with the expression of fatty acid synthase (FASN). In the present study, we determined the mechanism by which FASN and acetyl-CoA carboxylase ฮฑ (ACCฮฑ) could be induced by HER2 overexpression. SK-BR-3 and BT-474 cells, breast cancer cells that overexpress HER2, expressed higher levels of FASN and ACCฮฑ compared with MCF-7 and MDA-MB-231 breast cancer cells in which HER2 expression is low. The induction of FASN and ACCฮฑ in BT474 cells were not mediated by the activation of SREBP-1. Exogenous HER2 expression in MDA-MB-231 cells induced the expression of FASN and ACCฮฑ, and the HER2-mediated increase in ACCฮฑ and FASN was inhibited by both LY294002, a phosphatidylinositol 3-kinase inhibitor, and rapamycin, a mammalian target of rapamycin (mTOR) inhibitor. In addition, the activation of mTOR by the overexpression of RHEB in MDA-MB-231 cells increased the synthetic rates of both FASN and ACCฮฑ. On the other hand, FASN and ACCฮฑ were reduced in BT-474 cells by a blockade of the mTOR signaling pathway. These changes observed in their protein levels were not accompanied by changes in their mRNA levels. The 5โ€ฒ- and 3โ€ฒ-untranslated regions of both FASN and ACCฮฑ mRNAs were involved in selective translational induction that was mediated by mTOR signal transduction. These results strongly suggest that the major mechanism of HER2-mediated induction of FASN and ACCฮฑ in the breast cancer cells used in this study is translational regulation primarily through the mTOR signaling pathway.ope

    Transcriptional activation of SHP by PPAR-ฮณ in liver

    No full text
    The mechanism of how PPARฮณ decrease gluconeogenic gene expressions in liver is still unclear. Since PPARฮณ is a transcriptional activator, it requires a mediator to decrease the transcription of gluconeogenic genes. Recently, SHP has been shown to mediate the bile acid-dependent down regulation of gluconeogenic gene expression in liver. This led us to explore the possibility that SHP may mediate the antigluconeogenic effect of PPARฮณ. In the present study, we have identified and characterized the presence of functional PPRE in human SHP promoter. We show the binding of PPARฮณ/RXRฮฑ heterodimer to the PPRE and increased SHP expression by rosiglitazone in primary rat hepatocytes. Taken together with the previous reports about the function of SHP on gluconeogenesis, our results indicate that SHP can mediate the acute antigluconeogenic effect of PPARฮณ.ope
    corecore