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    ํ™”์„ฑ์  ๊ธฐ๋Œ€๊ฐ๊ณผ ์ „๋ฌธ์„ฑ์ด ์ฒญ๊ฐํ”ผ์งˆ์˜ ๋ฐ˜์‘์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ: ๋‡Œ์ž๋„ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์Œ์•…๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ •์Œ์•…ํ•™, 2018. 2. ์ด์„์›.however, the effect on the auditory cortex has rarely been examined. The processing of auditory stimuli depends on both afferent and efferent auditory pathways. Behavioral studies have indicated that the chords harmonically related to the preceding context are more rapidly processed than unrelated chords. P2 (the positive auditory-evoked potential at approximately 200 ms) is principally affected by musical experience, and the source of P2 is the associative auditory temporal regions, with additional contributions from the frontal area. Based on anatomical evidence of interconnections between the frontal cortex and the belt and parabelt regions in the auditory cortex, we hypothesized that musical expectations would affect neural activities in the auditory cortex via an efferent pathway. To test this hypothesis, we created five-chord progressions with the third chord manipulated (highly expected, less expected, and unexpected) and measured the auditory-evoked fields (AEFs) of seven musicians and seven non-musicians while they listened to musical stimuli. The results indicated that the highly expected chords elicited shorter N1m (negative AEF at approximately 100 ms) and P2m (a magnetic counterpart of P2) latencies and larger P2m amplitudes in the auditory cortex than the less-expected and unexpected chords. The relations between P2m amplitudes/latencies and harmonic expectations were similar between the groupshowever, the results were more remarkable for the musicians than the non-musicians. These findings suggest that auditory cortical processing is enhanced by musical knowledge and long-term training in an efferent pathway, which is reflected by shortened N1m and P2m latencies and enhanced P2m amplitudes in the auditory cortex.The present study investigated the effects of harmonic expectations and musical expertise on auditory cortical processing using magnetoencephalography (MEG). Numerous studies have demonstrated that musical experiences enhance auditory cortical processinghowever, few studies have examined the effect of harmonic expectations on auditory cortical processing. Most studies regarding auditory cortical response enhancement have investigated acoustical sound without harmonic contexts as stimuli. Studies have demonstrated that harmonic expectations are processed in the inferior frontal gyri and elicit an early right anterior negativity (ERAN)1. Introduction 1 2. Background 5 2.1. Musical Expectation 5 2.1.1. Musical Expectation and Behavioral Research 5 2.1.2. Musical Expectation and Neuroscientific Research 10 2.2. Musical Expertise and the Brain 13 2.3. Music and Auditory Cortical Responses 17 2.3.1. Auditory Cortical Responses 18 2.3.2. Auditory Cortical Responses by Acoustical Features 19 2.3.3. Enhancement of N1 and P2 by Training 21 2.4. The Efferent Pathway 25 2.5. Magnetoencephalography 29 3. Objectives and Hypothesis 31 4. Methods 32 4.1. Participants 32 4.2. Stimuli 33 4.3. Procedures 36 4.4. Magnetoencephalography Recordings 37 4.5. Data Analysis 38 4.6. Source Localization 40 5. Results 44 5.1. Auditory-Evoked Fields (AEFs) for Three Conditions at T3 (3rd Trigger) 44 5.2. Acoustical Similarity and Harmonic Expectation 51 5.2.1. P2m for Acoustical Similarity 52 5.2.2. P2m for Harmonic Expectation 56 5.3. Correlation between Auditory and Frontal Responses 57 5.4. Correlation between Training Hours and Auditory Responses 58 6. Discussion 60 6.1. Highlights of the Research 60 6.2. Implications 61 6.2.1. Shortened P2m Latencies and Increased P2m Amplitudes as a Result of Harmonic Expectations 61 6.2.2. Shortened P2m Latencies and Increased P2m Amplitudes as a Result of Musical Expertise 65 6.2.3. Reduced P2m Amplitudes by Acoustical Similarity 68 6.2.4. P2m Amplitude vs. Latency 70 6.3. Limitations and Future Directions 73 7. Conclusion 75 References 77 Abstract in Korean 97Docto

    ๏คŠ่žๆฉŸ้—œ์˜ ์ปดํ”Œ๋ผ์ด์–ธ์Šค ๅˆถๅบฆ์— ๊ด€ํ•œ ็ก็ฉถ : ๊ตญ๋‚ด ์ฆ๊ถŒํšŒ์‚ฌ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๊ฒฝ์˜์ „๋ฌธ๋Œ€ํ•™์› :๊ฒฝ์˜ํ•™๊ณผ(SNU MBA),2010.2.Maste

    comparison of self-reported and accelerometer-measured data using isotemporal substitution analysis

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ๋ณด๊ฑดํ•™๊ณผ, 2022. 8. ์กฐ์„ฑ์ผ.๋ฐฐ๊ฒฝ: ์šฐ์šธ์ฆ์€ ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์ •์‹  ๊ฑด๊ฐ• ๊ด€๋ จ ์งˆ๋ณ‘ ๋ถ€๋‹ด์˜ ์ฃผ์š” ์›์ธ์ด๋ฉฐ ํ•œ๊ตญ์€ ๊ฒฝ์ œ ํ˜‘๋ ฅ ๊ฐœ๋ฐœ ๊ธฐ๊ตฌ(OECD) ๊ตญ๊ฐ€ ์ค‘ ์šฐ์šธ์ฆ ์œ ๋ณ‘๋ฅ ์ด ๊ฐ€์žฅ ๋†’์€ ๊ตญ๊ฐ€์ด๋‹ค. ์‹ ์ฒดํ™œ๋™์€ ์ž ์žฌ์ ์œผ๋กœ ์ˆ˜์ •๊ฐ€๋Šฅํ•œ ์šฐ์šธ์ฆ ์œ„ํ—˜ ์š”์ธ ์ค‘ ํ•˜๋‚˜๋กœ, ์šฐ์šธ์ฆ์— ๋Œ€ํ•œ ๋ณดํ˜ธ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ์ตœ๊ทผ, ์‹ ๋ขฐ์„ฑ ์žˆ๋Š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์œ„ํ•œ ์‹ ์ฒด ํ™œ๋™ ์ธก์ • ๋ฐฉ๋ฒ•์˜ ํƒ€๋‹น์„ฑ๊ณผ ์‹ ๋ขฐ์„ฑ์— ๋Œ€ํ•ด ๋…ผ์˜๊ฐ€ ์ง„ํ–‰๋˜๊ณ  ์žˆ์œผ๋ฉฐ ์‹ ์ฒดํ™œ๋™ ์ธก์ •์„ ์œ„ํ•˜์—ฌ ์ฃผ๋กœ ์ž๊ธฐ๋ณด๊ณ ์‹ ์„ค๋ฌธ์ง€์™€ ๊ฐ€์†๋„๊ณ„๊ฐ€ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ๋“ฑ์‹œ๊ฐ„๋Œ€์ฒด๋ชจ๋ธ(ISM)์ด ์‹ ์ฒด ํ™œ๋™์˜ ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•œ gold standard๋กœ ๋“ฑ์žฅํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์ž๊ธฐ๋ณด๊ณ ์‹ ์„ค๋ฌธ ๋ฐ ๊ฐ€์†๋„๊ณ„๋กœ ์ธก์ •ํ•œ ์‹ ์ฒดํ™œ๋™๊ณผ ์šฐ์šธ์ฆ์˜ ์—ฐ๊ด€์„ฑ์„ ๊ทœ๋ช…ํ•˜๋ฉฐ, ์‹ ์ฒดํ™œ๋™ ๋Œ€์ฒด๊ฐ€ ์šฐ์šธ์ฆ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•˜๊ณ  ๊ฐ ์ธก์ •๋ฐฉ๋ฒ•์˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•: ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ตญ๋ฏผ๊ฑด๊ฐ•์˜์–‘์กฐ์‚ฌ(KNHANES) ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•œ ํšก๋‹จ๋ฉด ์—ฐ๊ตฌ๋กœ 1,541๋ช…์˜ ์ฐธ๊ฐ€์ž๊ฐ€ ๋ถ„์„์— ํฌํ•จ๋˜์—ˆ๋‹ค. ์ž๊ธฐ๋ณด๊ณ ์‹ ๋ฐ ๊ฐ€์†๋„๊ณ„ ์ธก์ • ์‹ ์ฒด ํ™œ๋™์„ ๋ชจ๋‘ ์ˆ˜ํ–‰ํ•œ ์ฐธ๊ฐ€์ž๊ฐ€ ๋ถ„์„์— ํฌํ•จ๋˜์—ˆ๋‹ค. ์‹ ์ฒด ํ™œ๋™์€ GPAQ (Global Physical Assessment Questionnaire)์™€ ActiGraph GT3X+๊ฐ€์†๋„๊ณ„๋กœ ์ธก์ •๋˜์—ˆ์œผ๋ฉฐ ์šฐ์šธ์ฆ์€ PHQ-9 (Patient Health Questionnaire-9)๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๋ชจ๋“  ๋ถ„์„์—๋Š” SAS 9.4๊ฐ€ ํ™œ์šฉ๋˜์—ˆ๋‹ค. ๊ฒฐ๊ณผ: ์šฐ์šธ์ฆ์— ๋Œ€ํ•œ ์‹ ์ฒดํ™œ๋™์˜ ์˜ํ–ฅ์€ ์‹ ์ฒดํ™œ๋™ ์ธก์ •๋ฐฉ๋ฒ•์— ๋”ฐ๋ผ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ€์†๋„๊ณ„๋กœ ์ธก์ •ํ•œ ์‹ ์ฒดํ™œ๋™์—์„œ๋Š”, ๋“ฑ์‹œ๊ฐ„๋Œ€์ฒด๋ชจํ˜•์—์„œ๋Š” SB๋ฅผ MVPA (OR: 0.810, 95% CI: 0.667-0.984)๋กœ ๋Œ€์ฒดํ•˜์˜€์„ ๋•Œ ์šฐ์šธ์ฆ์— ์œ ์˜๋ฏธํ•œ ๋ณดํ˜ธํšจ๊ณผ๋ฅผ ๋ณด์˜€๋‹ค. ๋ฐ˜๋ฉด, MVPA๋ฅผ ๋œ ํ™œ๋™์ ์ธ SB (OR:1.235, 95% CI: 1.017-1.500) ๋กœ ๋Œ€์ฒดํ•˜์˜€์„ ๊ฒฝ์šฐ์—๋Š” ์šฐ์šธ์ฆ์˜ ์œ„ํ—˜์ด ๋†’์•„์กŒ๋‹ค. ๋‹จ์ผ๋ณ€์ˆ˜ ๋ชจ๋ธ๊ณผ ํŒŒํ‹ฐ์…˜ ๋ชจ๋ธ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด MVPA (OR: 0.790, 95% CI: 0.657-0.951; OR: 0.812, 95% CI: 0.671-0.982)๋Š” ์šฐ์šธ์ฆ์— ์œ ์˜๋ฏธํ•œ ๋ณดํ˜ธํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ์ž๊ธฐ๋ณด๊ณ ์‹ ์„ค๋ฌธ์ง€๋กœ ์ธก์ •ํ•œ ์‹ ์ฒดํ™œ๋™ ์ค‘ SB, walking, Work MVPA, Leisure MVPA๋ฅผ ๋ชจ๋ธ์— ํˆฌ์ž…ํ•˜์˜€์„ ๋•Œ, ๋“ฑ์‹œ๊ฐ„๋Œ€์ฒด๋ชจ๋ธ์—์„œ๋Š” SB๋ฅผ Work MVPA (OR: 1.103, 95% CI:1.040-1.170)๋กœ ๋Œ€์ฒดํ•˜๊ฑฐ๋‚˜ walking์„ Work MVPA (OR: 1.115, 95% CI:1.017-1.234)๋กœ ๋Œ€์ฒดํ•˜์˜€์„ ๋•Œ ์šฐ์šธ์ฆ์˜ ์œ„ํ—˜์ด ๋†’์•„์กŒ๋‹ค. ๋ฐ˜๋ฉด, Work MVPA๋ฅผ SB (OR:0.907, 95% CI: 0.855-0.961)์ด๋‚˜ walking (OR: 0.897, 95% CI:0.817-0.984)์œผ๋กœ ๋Œ€์ฒดํ•˜์˜€์„ ๊ฒฝ์šฐ์—๋Š” ์šฐ์šธ์ฆ์˜ ์œ„ํ—˜์ด ๋‚ฎ์•„์กŒ๋‹ค. ๋‹จ์ผ๋ณ€์ˆ˜๋ชจ๋ธ๊ณผ ํŒŒํ‹ฐ์…˜ ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ, Work MVPA (OR:1.113, 95% CI: 1.051-1.178; OR:1.122, 95% CI: 1.058-1.190)๋Š” ์šฐ์šธ์ฆ์˜ ์œ„ํ—˜์„ ๋†’์ด๋Š” ๊ฒƒ์ด ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ๊ฒฐ๋ก : ์‹ ์ฒด ํ™œ๋™๊ณผ ์šฐ์šธ์ฆ ์‚ฌ์ด์—๋Š” ์—ฐ๊ด€์„ฑ์ด ์กด์žฌํ•˜์˜€์œผ๋‚˜ ์‹ ์ฒดํ™œ๋™์„ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋”ฐ๋ผ ๊ฒฐ๊ณผ์˜ ๋ฐฉํ–ฅ์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ€์†๋„๊ณ„๋กœ ์ธก์ •ํ•œ ์‹ ์ฒด ํ™œ๋™์€ ์šฐ์šธ์ฆ์— ๋ณดํ˜ธํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ์ง€๋งŒ, ์ž๊ธฐ๋ณด๊ณ ์‹ ์„ค๋ฌธ์„ ํ†ตํ•œ ์‹ ์ฒด ํ™œ๋™์€ ์šฐ์šธ์ฆ ์œ„ํ—˜์„ ์ฆ๊ฐ€์‹œ์ผœ ์‹ ์ฒด ํ™œ๋™์˜ ์—ญ์„ค(Physical activity paradox)์„ ์‹œ์‚ฌํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๋™์ผํ•œ ๋Œ€์ƒ์— ๋Œ€ํ•œ ์‹ ์ฒด ํ™œ๋™์˜ ์ƒ๋ฐ˜๋œ ๊ฒฐ๊ณผ๋Š” ๊ฐ ์ธก์ •๋ฐฉ๋ฒ•์˜ ํ•œ๊ณ„์  ๋˜๋Š” ์ธก์ • ๊ธฐ๊ฐ„์˜ ๋ถˆ์ผ์น˜์— ์˜ํ•œ ๊ฒƒ์ผ ๊ฐ€๋Šฅ์„ฑ ๋•Œ๋ฌธ์ผ ์ˆ˜ ์žˆ๋‹ค. ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๊ณ  ํƒ€๋‹นํ•œ ์‹ ์ฒดํ™œ๋™ ๋ฐ์ดํ„ฐ๋ฅผ ์–ป๊ธฐ ์œ„ํ•˜์—ฌ ํ–ฅํ›„ ์ง„ํ–‰๋˜๋Š” ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐ๊ด€์ ์ธ ์ธก์ •์„ ์œ„ํ•œ ๊ฐ€์†๋„๊ณ„ ์‚ฌ์šฉ๊ณผ ํ•จ๊ป˜ ์‹ ์ฒดํ™œ๋™ ์ผ์ง€์˜ ๊ธฐ๋ก์ด ๋ณ‘ํ–‰๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค.Introduction: Depression is a leading cause of mental health-related disease burden globally, and Korea has the highest prevalence of depression among Organization for Economic Cooperation and Development (OECD) nations. Physical activity is one of the modifiable risk factors for depression and is known to have protective effects against depression. Recently, the validity and reliability of a method for measuring physical activity for accurate study results have been a point of discussion. A self-report questionnaire and an accelerometer are the most used methods for evaluating physical activity. Furthermore, the isotemporal substitution model (ISM) has become the gold standard for analyzing the effects of physical activity. Thus, this study aims to identify the association between depression and physical activity measured by self-reported and accelerometer, confirm the effect of physical activity substitution on depression, and compare the results of each measurement method. Methods: This study is a cross-sectional study using data from the Korean National Health and Nutrition Examination Survey (KNHANES) and 1,541 participants were included in the analysis. Participants who conducted both self-reported and accelerometer-measured physical activity were included in the analysis. Physical activity had been measured by Global Physical Assessment Questionnaire (GPAQ)and accelerometer. Depression examination had been conducted by Patient Health Questionnaire-9 (PHQ-9). All the analyses were conducted with SAS version 9.4. Result: Depending on the physical activity measurement method, the effect of physical activity on depression differed. In physical activity measured by accelerometer, for the isotemporal substitution model, replacing SB with MVPA (OR: 0.810, 95% CI: 0.667-0.984) had a significant protective effect on depression. On the other hand, the risk of depression increased when MVPA was replaced with SB (OR: 1.235, 95% CI: 1.017-1.500) which was relatively inactive. According to the single parameter model and partition model, MVPA had a significant protective effect (OR: 0.790, 95% CI: 0.657-0.951; OR: 0.812, 95% CI: 0.671-0.982) on depression. Among the physical activities measured by the self-report questionnaire, when SB, walking, Work MVPA, and Leisure MVPA were input to the model, in the isotemporal substitution model, the risk of depression increased when SB was substituted with Work MVPA (OR: 1.103, 95% CI: 1.040-1.170) or when walking was substituted with Work MVPA (OR: 1.115, 95% CI: 1.017-1.234). In contrast, when Work MVPA was substituted with SB (OR: 0.907, 95% CI: 0.855-0.961) or walking (OR: 0.897, 95% CI: 0.817-0.984), the risk of depression was decreased. In the single parameter model and partition model, Work MVPA (OR: 1.113, 95% CI: 1.051-1.178; OR: 1.122, 95% CI: 1.058-1.190) was observed to increase the risk of depression. Conclusion: There was an association between physical activity and depression, but the direction of the result differed depending on the method that measured physical activity. Although accelerometer-measured physical activity showed a protective effect on depression, self-reported physical activity increased the risk of depression, suggesting a physical activity paradox. These contradictory results of physical activity on the same participants may be due to the limitations of each measurement method or the inconsistent measurement period. Future research should use an accelerometer for objective measurement and simultaneously record a physical activity diary to collect reliable and valid data on physical activity.Chapter 1. Introduction 1 1.1 Background 1 1.2 Literature review 3 1.3 Objectives 6 Chapter 2. Methods 7 2.1 Data sources and Study participants 7 2.2 Measurement 9 2.2.1 Depression 9 2.2.2 Self-reported Physical activity 9 2.2.3 Accelerometer-measured Physical activity 12 2.2.4 Covariates 13 2.3 Statistical analysis 14 Chapter 3. Results 16 Chapter 4. Discussion 46 Chapter 5. Conclusion 52 Reference 53 Summary (Korean) 57์„

    Nature of a Wet Electron Bound to the Water Dodecamer

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    A study on prostitution policies in Korea

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌํšŒํ•™๊ณผ, 2011.2. ์ •์ง„์„ฑ.Docto

    ISG15์— ์˜ํ•œ PCNA์˜ ๋ณ€ํ˜•์ด Error-Prone Translesion DNA Synthesis์˜ ์ข…๊ฒฐ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ƒ๋ช…๊ณผํ•™๋ถ€, 2014. 8. ์ •์ง„ํ•˜.In response to DNA damage, PCNA is mono-ubiquitinated and triggers translesion DNA synthesis (TLS) by recruiting polymerase-. However, it remained unknown how error-prone TLS is turned off after DNA lesion bypass to prevent mutagenesis. Here, I showed that ISG15 modification (ISGylation) of PCNA plays a key role in TLS termination. Upon UV irradiation, EFP, an ISG15 E3 ligase, bound to mono-ubiquitinated PCNA and promoted its ISGylation. ISGylated PCNA then tethered USP10 for deubiquitination and in turn the release of polymerase- from PCNA. Eventually, PCNA was deISGylated by UBP43 for reloading of replicative DNA polymerases and resuming normal DNA replication. However, ISGylation-defective Lys-to-Arg mutations in PCNA or knockdown of any of ISG15, EFP, or USP10 led to persistent recruitment of mono-ubiquitinated PCNA and polymerase- to nuclear foci, causing an increase in mutation frequency and in turn a decrease in cell survival. These findings establish a crucial role of PCNA ISGylation in termination of error-prone TLS for preventing excessive mutagenesis and thereby for the maintenance of genome stability.TABLE OF CONTENTS ABSTRACT i TABLE OF CONTENTS iii LIST OF FIGURES AND TABLES vi BACKGROUND 1 1. Translesion DNA synthesis (TLS) 1 2. Proliferating cell nuclear antigen (PCNA) 2 3. Ubiquitin 4 4. Interferon-stimulated gene 15 (ISG15) 5 5. Purpose of thesis work 11 INTRODUCTION 12 MATERIALS AND METHODS 17 1. Plasmids and antibodies 17 2. Cell culture and transfection 18 3. Immunoprecipitation and NTA pull-down analysis 19 4. Purification of proteins 19 5. Immunocytochemistry 20 6. Chromatin fractionation 20 7. supF plasmid-based mutation assay 21 8. Cell cycle analysis 22 RESULTS 23 1. UV induces ISG15-conjugating system 23 2. PCNA has two ISG15 acceptor sites 28 3. UV induces sequential modification of PCNA by ubiquitin and ISG15 39 4. EFP serves as an ISG15 E3 ligase of PCNA 52 5. Mono-ubiquitination of PCNA is required for its interaction with EFP 59 6. USP10 has a PIP box and removes mono-ubiquitin from PCNA 64 7. ISGylation of PCNA is required for its interaction with USP10 74 8. PCNA ISGylation causes the release of Pol form PCNA 77 9. PCNA ISGylation down-regulates nuclear foci formation 80 10. PCNA ISGylation blocks TLS-mediated mutagenesis 85 11. PCNA is eventually deISGylated by UBP43 104 DISCUSSION 115 REFERENCES 122 ABSTRACT IN KOREAN 133Docto

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณผํ•™๊ต์œก๊ณผ ์ƒ๋ฌผ์ „๊ณต,2005.Maste

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์˜ํ•™๊ณผ ๋ฐฉ์‚ฌ์„ ๊ณผํ•™์ „๊ณต,2000.Docto
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