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    Role of Innovation, Technology Diffusion and Policies for Sustainable Growth

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2013. 2. ๊น€์—ฐ๋ฐฐ.๋ณธ ๋…ผ๋ฌธ์˜ ๋ชฉํ‘œ๋Š” ๊ธฐ์ˆ ํ˜์‹ , ํ™•์‚ฐ, ๊ทธ๋ฆฌ๊ณ  ์ •๋ถ€์ •์ฑ…์ด ์ฒญ์ •์—๋„ˆ์ง€๊ธฐ์ˆ ์˜ ์ง€์† ๊ฐ€๋Šฅํ•œ ์„ฑ์žฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์„ ๋‹ค์–‘ํ•œ ๋ชจ๋ธ๊ธฐ๋ฒ•์— ์˜ํ•œ ์‹ค์ฆ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ทœ๋ช…ํ•˜๊ณ  ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ์—ฐ๊ตฌ๋Š” ํฌ๊ฒŒ ์„ธ ๋ถ€๋ถ„์œผ๋กœ ์ด๋ฃจ์–ด์ง€๋Š”๋ฐ, ์ฒซ์งธ, ์ฒญ์ •์—๋„ˆ์ง€๊ธฐ์ˆ ์˜ ํ™•์‚ฐ ํŠน์„ฑ์„ ์ „์„ธ๊ณ„์ ์œผ๋กœ ์‚ดํŽด๋ณด๊ณ  ๊ทธ ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํ˜„์ƒ์„ ์‹ค์ฆ์ ์œผ๋กœ ๋ถ„์„ํ•œ๋‹ค. ์ฆ‰, ์„ธ๊ณ„ ๋‹ค์ˆ˜์˜ ๊ตญ๊ฐ€(์•ฝ 43๊ฐœ๊ตญ)๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์—๋„ˆ์ง€์ ˆ์•ฝ๊ธฐ์ˆ ์˜ ํšจ์œจ์„ฑ ์—ญ์„ค ํ˜„์ƒ์„ ๋น„๋ชจ์ˆ˜์  ๊ธฐ๋ฒ•์œผ๋กœ ๋ชจ๋ธ๋งํ•˜์—ฌ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ๊ตญ๊ฐ€ ๋งˆ๋‹ค ์—๋„ˆ์ง€์ ˆ์•ฝ ๊ธฐ์ˆ ์˜ ํšจ์œจ๊ณผ ํ˜์‹ ์—ญ๋Ÿ‰์˜ ํŽธ์ฐจ๊ฐ€ ์žˆ์œผ๋‚˜ ์ „๋ฐ˜์ ์œผ๋กœ ๋ถ์œ ๋Ÿฝ, ์„œ์œ ๋Ÿฝ, ๋ถ๋ฏธ, ํ•œ๊ตญ, ์ผ๋ณธ ๋“ฑ์ด ํƒ€ ์ง€์—ญ์— ๋น„ํ•ด ์‹œ์žฅ์‹คํŒจํšจ๊ณผ๊ฐ€ ๋œํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ ๊ตํ† ํ˜‘์•ฝ์ด ์ฒด๊ฒฐ๋œ 1998๋…„ ์ดํ›„ ๋‹ค์ˆ˜์˜ OECD๊ตญ๊ฐ€๋“ค์ด ๋Œ€์™ธ ๊ธฐ์ˆ ์„ ํก์ˆ˜ํ•˜๋Š” ์—ญ๋Ÿ‰์„ ๊ฐ•ํ™”ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด ๊ฐ™์€ ๋ถ„์„์„ ํ†ตํ•ด ์ฒญ์ •์—๋„ˆ์ง€์˜ ๊ธฐ์ˆ ํ™•์‚ฐ์€ ์‹œ์žฅ๊ฒฝ์Ÿ์— ์˜ํ•ด ์ž์—ฐ์ ์œผ๋กœ ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ์—ฌ๋Ÿฌ ๊ฒฝ์ œํ™˜๊ฒฝ, ๊ธฐ์ˆ ์  ์š”์ธ๊ณผ ๋”๋ถˆ์–ด ๊ตญ์ œ ๊ทœ๋ฒ”๊ณผ ๊ฐ ๊ตญ๊ฐ€์˜ ์ •์ฑ…์  ์ง€์›์ด ๋™๋ฐ˜๋  ๋•Œ ์ œ๋Œ€๋กœ ์ด๋ฃจ์–ด ์งˆ ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ์—ฐ๊ตฌ๋กœ์„œ, ์ •๋ถ€์˜ ์ •์ฑ…์  ์ง€์›์ด ํ•„์š”ํ•œ ์ฒญ์ •์—๋„ˆ์ง€๊ธฐ์ˆ ์—์„œ ์ •์ฑ…์˜ ํšจ์œจ์ ์ธ ์ „๋žต์„ ์ˆ˜๋ฆฝํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ •์ฑ…์˜ ์˜ํ–ฅ๋ ฅ์„ ๋‹ค๊ฐ๋„๋กœ ํ‰๊ฐ€ํ•ด ๋ณผ ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์ด์— ๋ณธ ๋…ผ๋ฌธ์€ OECD๊ตญ๊ฐ€๋“ค์˜ ์žฌ์ƒ์—๋„ˆ์ง€๊ธฐ์ˆ ์„ ๋Œ€์ƒ์œผ๋กœ ์Š˜ํŽ˜ํ„ฐ ์ด๋ก ์— ๊ธฐ๋ฐ˜ํ•œ "๋ฐœ๋ช…-ํ˜์‹ -ํ™•์‚ฐ"์˜ 3๋‹จ๊ณ„๋กœ ๊ตฌ์„ฑ๋˜๋Š” ๊ตญ๋‚ด ํ˜์‹ ์‹œ์Šคํ…œ์„ ๋ชจ๋ธ๋งํ•˜๊ณ  ํ˜์‹ ์‹œ์Šคํ…œ ๋‚ด์˜ ์ƒํ˜ธ์ž‘์šฉ๊ณผ ์ •์ฑ…์˜ ์˜ํ–ฅ๋ ฅ์„ ์‹ค์ฆ์ ์œผ๋กœ ๋ถ„์„ํ•œ๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ๋ฐœ๋ช…-ํ˜์‹ -ํ™•์‚ฐ ๊ฐ„์—๋Š” ์„ ์ˆœํ™˜ ์ž‘์šฉ์ด ๋ฐœ์ƒํ•˜๋ฉฐ, ์žฌ์ƒ์—๋„ˆ์ง€ ๊ธฐ์ˆ ์— ๋”ฐ๋ผ ์ •์ฑ…์˜ ์ •ํƒœ ๋ฐ ๋™ํƒœ์  ์˜ํ–ฅ๋ ฅ์ด ๋‹ฌ๋ผ์ง์„ ํ™•์ธํ•˜์˜€๋‹ค. ์…‹์งธ, ์žฌ์ƒ์—๋„ˆ์ง€๊ธฐ์ˆ ์ด ํ™˜๊ฒฝ๋ฌธ์ œํ•ด๊ฒฐ์„ ์œ„ํ•œ ๊ตญ๋‚ด๋ณด๊ธ‰์— ๊ทธ์น˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๊ตญ์ œ๋ฌด์—ญ์„ ํ†ตํ•œ ์ง€์†๊ฐ€๋Šฅํ•œ ๊ฒฝ์ œ๋ฐœ์ „์˜ ์›๋™๋ ฅ์œผ๋กœ ๊ฑฐ๋“ญ๋‚˜๋Š” ๊ฒƒ์ด ์ฃผ์š” ๋ชฉํ‘œ์ด๋ฏ€๋กœ ๊ตญ๋‚ด ํ˜์‹ ๊ณผ ๊ตญ์ œ๋ฌด์—ญ๊ฐ„์˜ ์ƒํ˜ธ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ณ  ๊ตญ์ œ๋ฌด์—ญ์— ์ •์ฑ…์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์„ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ, ๊ตญ๋‚ด ํ˜์‹ ์ฒด๊ณ„์™€ ์ˆ˜์ถœ, ์ˆ˜์ž…๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ  ์œ„์—์„œ ์—ด๊ฑฐ๋œ ์žฌ์ƒ์—๋„ˆ์ง€ ์ •์ฑ…์ด ์ˆ˜์ถœ, ์ˆ˜์ž…์—๋Š” ์–ด๋– ํ•œ ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š”์ง€๋ฅผ ํŒŒ์•…ํ•œ๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ๊ธฐ์ˆ ์„ฑ์ˆ™๋„๊ฐ€ ๋†’์„์ˆ˜๋ก ๋Œ€์™ธ๋ฌด์—ญ์˜ ์˜ํ–ฅ์„ ๋งŽ์ด ๋ฐ›์œผ๋ฉฐ ๊ธฐ์ˆ ์„ฑ์ˆ™๋„๊ฐ€ ๋†’์€ ๊ธฐ์ˆ ์€ ์‹œ์žฅํ™•๋Œ€ ๋ฐ ๊ธฐ์ˆ ํ™•์‚ฐ์„ ํ†ตํ•ด ๋Œ€์™ธ์ˆ˜์ถœ๋Ÿ‰์„ ์ฆ๊ฐ€์‹œํ‚ค๊ณ  R&Dํ™œ๋™์€ ์ˆ˜์ž…์„ ๋Œ€์ฒดํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ฐ˜๋ฉด, ๊ธฐ์ˆ ์„ฑ์ˆ™๋„๊ฐ€ ๋‚ฎ์€ ๊ธฐ์ˆ ์€ ๊ตญ๋‚ด R&D๋ฅผ ํ†ตํ•ด ๋น„์šฉ๊ฐ์†Œ์— ์ฃผ๋ ฅํ•˜๋ฉฐ ์ด๋Š” ๋Œ€์™ธ์ˆ˜์ถœ๋Ÿ‰์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ํŒŒ์•…๋˜์—ˆ๋‹ค. ์ •์ฑ…์˜ ์˜ํ–ฅ๋ ฅ์€ ํƒœ์–‘๊ด‘์˜ ๊ฒฝ์šฐ ๊ฒฝ์Ÿ์„ ์œ ๋„ํ•˜๋Š” Renewables obligations ์ •์ฑ…์ด ๋ฌด์—ญ๋Ÿ‰ ์ฆ๊ฐ€์— ๊ธ์ •์ ์ธ ๋ฐ˜๋ฉด, ํ’๋ ฅ์˜ ๊ฒฝ์šฐ ํ™˜๊ฒฝ์ •์ฑ…์ด ๊ตญ๋‚ดํ˜์‹ ๊ณผ ๋”๋ถˆ์–ด ๋Œ€์™ธ๊ฒฝ์Ÿ๋ ฅ์—๋„ ๊ธ์ •์ ์ด์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธฐ์ˆ ํ™•์‚ฐ์„ ์‹ค์ œ๋กœ ์ธก์ •ํ•˜๊ธฐ ์–ด๋ ค์›Œ ๊ธฐ์กด์—ฐ๊ตฌ๋“ค์ด ์‹œ์žฅ์‹คํŒจ๋ฅผ ์‹ค์ฆ์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ธฐ ์–ด๋ ค์› ๋˜ ์ ์„ ์ƒˆ๋กœ์šด ์š”์ธ๋ถ„ํ•ด๋ถ„์„ ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ์—๋„ˆ์ง€์ ˆ์•ฝ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ •ํ™ฉ์ ์ด์ง€๋งŒ ์ •๋Ÿ‰์  ์ฆ๊ฑฐ๋ฅผ ์ œ๊ณตํ•จ์œผ๋กœ์จ ๊ตญ๊ฐ€๋ณ„ ์‹œ์žฅ์‹คํŒจ์˜ ์ •๋„๋ฅผ ํŒŒ์•…ํ•˜๋Š”๋ฐ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋˜ํ•œ, ์žฌ์ƒ์—๋„ˆ์ง€์˜ ๊ตญ๋‚ด ํ˜์‹ ๊ณผ ์ง€์† ๊ฐ€๋Šฅํ•œ ์„ฑ์žฅ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ  ๋‹ค์–‘ํ•œ ์žฌ์ƒ์—๋„ˆ์ง€ ํ™•๋Œ€์ •์ฑ…์˜ ์˜ํ–ฅ๋ ฅ์„ ์ •ํƒœ ๋ฐ ๋™ํƒœ์ ์œผ๋กœ ์‚ดํŽด๋ด„์œผ๋กœ์จ ๋‹ค์–‘ํ•œ ๊ด€์ ์—์„œ ์ •์ฑ…์„ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋Š” ์ดˆ์„์„ ๋งˆ๋ จํ–ˆ๋‹ค๋Š”๋ฐ ์˜์˜๊ฐ€ ์žˆ๋‹ค.In recent times, investment for developing clean energy technologies is increasing rapidly. However, private R&D investment in this field may be lower than the social optimal level owing to market failures from environmental (e.g., lack of significant pricing policies for GHG emissions) and knowledge (e.g., free-riding by the public-good nature of new knowledge) externalities. To solve these issues and bring forth national innovations, several governments have implemented various technology-push and market-pull policies. The goal of this thesis is to identify the social phenomenon, that is, the market failure-energy efficiency paradox, and assess the impact of government policies on the process of domestic technological change and the foreign competitiveness of clean energy technology, through empirical analyses using a variety of techniques. This thesis is carried out in three parts. First, this thesis analyzes the market failure phenomenon of about 43 countries energy-saving technologies using a non-parametric methodology. Specifically, each countrys country-specific CO2 emission trend is investigated, and the impact of changes in technical efficiency and technological innovation on CO2 emissions is evaluated using an originally developed production-based decomposition method. This analysis enables us to identify quantitatively the market failures of various energy-saving technologies, that is, the energy efficiency paradox phenomenon (stagnated diffusion in energy-efficient technologies). The results show that despite national variation in technical efficiency and innovation capacity, the effect of market failure in Northern Europe, Western Europe, North America, South Korea, and Japan is less than that in other regions, and a number of OECD countries have tried to strengthen their capacities and absorb foreign technologies since 1998 when the Kyoto protocol was introduced. This indicates that when technological advances are made, clean energy technologies do not diffuse naturally, namely, by the simple logic of the market, but are spread following certain international regulations such as the Kyoto protocol, and take place with the continued support for national technology diffusion. Therefore, it is important to find an efficient strategy to harmonize support policies, for which the impact of the policies from various perspectives need to be evaluated. The second research topic is an empirical determination of a domestic innovation system, which consists of three stages, that is, the invention-innovation-diffusion stages, based on the Schumpeter theory, and the interactions in this endogenous technological change system. The empirical analysis is conducted as a panel analysis of the OECD countries renewable energy technologies, that is, their solar PV and wind power technologies, for the period 1991โ€“2007. In addition, this thesis determines the static impact of the governments renewable energy policies, which are classified into fiveโ€”public R&D, tariff incentives, renewable energy obligations, environmental taxes, and public investmentโ€”on each stage of the system. The static impact of the policies enables us to estimate the direct and fixed effect of the policies on each stage, because the interactions between the three stages are not considered, giving us an accurate assessment of the policies. Furthermore, as the dynamics of the policy impacts that form in a virtuous cycle are simulated, one can evaluate the total impact of the policies under the interactions between the three stages. According to the empirical results, the virtuous cycle is formed between the invention-innovation-diffusion stages and the static impact of policies varies according to the renewable energy technologies. In particular, public R&D plays a key role as a support measure motivating innovation. The results of the policy dynamics show that public R&D and tariff incentives have a positive impact on the three stages in the system. In addition, this thesis confirms the view that competition-inducing instruments would play an increasingly important role, as the renewable energy technologies develop further. (Environmental taxes appear to play a positive role in innovations within wind power with highly competitive pricing.) Third, as the renewable energy technologies become the driving force for sustainable economic growth through international trade, it is also important for us to identify the interrelationships between domestic innovations and international trade, and evaluate the impact of the policies on international trade. Therefore, this thesis builds a model to investigate the interactions between domestic innovations and export and import, and determines the effects of the renewable energy policies enumerated above on exports and imports. The results underline the fact that as the renewable energy technologies develop and become more advanced, the dependence of R&D activity on international trade becomes higher, and any further domestic R&D and technological diffusion would lead to increased exports. Specifically, technological development enables the technology with high potentials to improve cost-competitiveness and strengthen foreign competitivenesshowever, market factors dominate the technology with low potentials. In terms of policy impact, the renewable energy obligation to promote a competitive policy has a positive impact on solar PV trade, while tariff incentives have a positive impact on wind power. From the empirical results and the foregoing implications, this thesis proposes a harmonization strategy as follows: the instruments for technology-push such as public R&D and tariff incentives should be made compulsory for both solar PV and wind power. With the use of technology, the policy makers should introduce different competition-inducing instruments, for example, renewable energy obligations for solar PV and environmental taxes for wind power. When the technologies are more competitive and the utilities right to choose a clean energy technology is more strengthened, it would be necessary to consider the competition system by technology. In other words, the renewable energy obligations should be complemented specifying a quota by technology, because until now, environmental taxes have not shown a positive impact on the sustainable growth of solar PV. This thesis would therefore emphasize that the target of policies should be adjusted by technologies, and policies should be diversified for a symmetric development of renewable energy technologies. The significance of this thesis is that it provides quantitative evidence for the existence of country-specific market failures using novel decomposition techniques. In addition, the novelty of this thesis is that it divides the sustainable growth model for renewable energy into a domestic innovation and international trade model, and assesses the long-term dynamics of policy impacts as well as the static impact of policies. This thesis therefore lays the foundation to analyze the policy impacts from a variety of perspectives.Abstract iii Contents viii List of Tables xii List of Figures xiv Chapter 1. Overview 1 1.1 Research Background 1 1.2 Research Objectives 7 1.2.1 Environmental assessment 8 1.2.2 Innovation and policy 9 1.3 General Research Framework 12 1.4 Contributions 16 Chapter 2. Energy Efficiency Paradox in Energy-Use Technology 19 2.1 Introduction 19 2.2 Theoretical Background 24 2.2.1 Environmental data envelopment analysis 24 2.2.2 Decomposition analysis 27 2.3 Empirical Model 30 2.3.1 Production-based decomposition 30 2.3.2 Potential for CO2 emissions mitigation 39 2.4 Data 42 2.5 Result and Discussion 46 2.5.1 Decomposition result 51 2.5.2 International comparison of the potential for emission mitigation 66 2.6 Conclusion 72 Chapter 3. Dynamics of Policy Impacts in Domestic Innovation System of Renewables Technology............ 76 3.1 Introduction 76 3.2 Theoretical Background 82 3.2.1 The technological change system and learning effects 82 3.2.2 Impacts of renewable energyโ€“related policies 86 3.3 Simultaneous Equations 92 3.3.1 Invention model: new idea production by technological learning and knowledge spillovers 92 3.3.2 Innovation model: two-factor learning curves 97 3.3.3 Diffusion model: profit maximization for rational choice 99 3.3.4 Interactions between simultaneous equations 102 3.4 Data and Model Estimation 105 3.4.1 Dependent variables 105 3.4.2 Explanatory variables 114 3.4.3 Estimation method 119 3.5 Empirical Results 121 3.5.1 Estimation results: assessment of interrelations between the stages and static impact of policies 121 3.5.2 Simulation results: The virtuous cycle and dynamic impacts of policies 133 3.6 Conclusion 142 Chapter 4. The Role of Innovation and Policies for Sustainable Growth of Renewable energy Technology....... 145 4.1 Introduction 145 4.2 Theoretical Background 149 4.2.1 R&D activity and international trade 149 4.2.2 Renewable energy policy and international trade 150 4.2.3 Different technological maturity and cost competitiveness in renewables technology 152 4.3 Empirical Model 156 4.3.1 R&D model: knowledge generation by international trade and spillover 156 4.3.2 Trade model: interrelations between domestic innovation system and international trade 158 4.3.3 Aggregated model based on endogenous R&D activity and technological diffusion . 161 4.4 Data 163 4.5 Empirical Results 171 4.5.1 Sustainable system with domestic innovation and international trade 171 4.5.2 Dynamic impact of renewable energy policies for sustainable growth 183 4.6 Conclusion 187 Chapter 5. Conclusions and Implications 190 5.1 Summary of the Results 190 5.2 General Conclusions and Implications 197 Bibliography 206 Appendix 1: The decomposition result by time division 224 Appendix 2: Model comparison for robustness in solar PV 229 Appendix 3: Model comparison for robustness in wind power 235 Appendix 4: The trend of technology and market in renewable energy since mid-2000 241 Abstract (Korean) 244Docto

    ๊ต์ •๋ ฅ์— ์˜ํ•œ ์‚ฌ๋žŒ ์น˜์ฃผ์ธ๋Œ€ ์„ธํฌ์˜ ์œ ์ „์ž ๋ฐœํ˜„ : RNA-sequencing ์—ฐ๊ตฌ

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    ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๊ต์ •๋ ฅ์„ ์ ์šฉํ–ˆ์„ ๋•Œ, ์น˜์ฃผ์ธ๋Œ€ ์„ธํฌ์—์„œ์˜ ์œ ์ „์ž ๋ฐœํ˜„์˜ ๋ณ€ํ™”๋ฅผ RNA sequencing์„ ํ†ตํ•ด ์•Œ์•„๋ณด๋Š” ๊ฒƒ์ด๋‹ค. ๊ต์ • ์ง„๋‹จ ๊ฒฐ๊ณผ, ๋ฐœ์น˜๊ฐ€ ํ•„์š”ํ•œ 10๋ช…์˜ ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์น˜์ฃผ์ธ๋Œ€ ์„ธํฌ๊ฐ€ ๋ฌผ๋ฆฌ์  ์ž๊ทน์„ ๋ฐ›๋Š” ์ƒํ™ฉ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•˜๊ธฐ ์œ„ํ•ด ์‹คํ—˜๊ตฐ์— ๊ต์ •๋ ฅ์„ ๊ฐ€ํ•˜์˜€๊ณ , ๋Œ€์กฐ๊ตฐ์€ ํž˜์„ ๊ฐ€ํ•˜์ง€ ์•Š์€ ์ฑ„๋กœ ๋‘์—ˆ๋‹ค. ๋ฐœ์น˜ํ•œ ์„ธํฌ๋กœ๋ถ€ํ„ฐ ์น˜์ฃผ์ธ๋Œ€ ์„ธํฌ๋ฅผ ๋ถ„๋ฆฌํ•œ ํ›„, geneset enrichment analysis (GSEA), Differential Expressed Gene (DEG) analysis ๋ฐ real time PCR ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. GSEA ๊ฒฐ๊ณผ ๋Œ€๋ถ€๋ถ„์˜ ์œ ์ „์ž ์„ธํŠธ๋“ค์€ ์„ธํฌ ์ฃผ๊ธฐ์™€ ๊ด€๋ จ๋˜์–ด ์žˆ์—ˆ๊ณ , DEG ๋ถ„์„์„ ํ†ตํ•ด 13๊ฐœ์˜ up-regulated genes ๊ณผ 20๊ฐœ์˜ down-regulated gene์„ ์ฐพ์•˜๋‹ค. Real time PCR์„ ํ†ตํ•ด 5๊ฐœ์˜ up-regulated genes ๊ณผ 6๊ฐœ์˜ down-regulated genes ์ด RNA sequencing ๊ฒฐ๊ณผ์™€ ์ผ์น˜ํ•จ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ์œ ์ „์ž ๊ธฐ๋Šฅ ํƒ์ƒ‰์„ ํ†ตํ•ด ์ตœ์ข…์ ์œผ๋กœ ์น˜์ฃผ์ธ๋Œ€ ์„ธํฌ์˜ ์žฌ์ƒ๊ณผ ๊ด€๋ จ๋œ 3๊ฐœ์˜ ์œ ์ „์ž(CPNE3, OPHN1 and PPM1F)๋ฅผ ์ฐพ์•˜๋‹ค. ๊ต์ •๋ ฅ์ด ๊ฐ€ํ•ด์กŒ์„ ๋•Œ, ์น˜์ฃผ์ธ๋Œ€ ์„ธํฌ ๋‚ด CPNE3 ๋ฐ OPHN1 ์œ ์ „์ž๋Š” up-regulated ๋˜๋ฉฐ, PPM1F ์œ ์ „์ž๋Š” down-regulated ๋œ๋‹ค. ํ›„์†์ ์ธ ์—ฐ๊ตฌ(์˜ˆ๋ฅผ ๋“ค๋ฉด, knock-out model์„ ์ด์šฉํ•œ functional study)๋ฅผ ํ†ตํ•ด ์ด๋Ÿฌํ•œ 3๊ฐœ์˜ ์œ ์ „์ž๊ฐ€ ์ง์ ‘์ ์œผ๋กœ ์น˜์ฃผ์ธ๋Œ€ ์„ธํฌ ์žฌ์ƒ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. The aims of this study were to investigate changes in gene expression of periodontal ligament (PDL) cells after mechanical stimulus and to establish mechanism (signaling pathway) through RNA sequencing. We selected ten patients who required tooth extraction for orthodontic treatment. To stimulate the PDL, orthodontic force was applied to the first premolar for three weeks (the experimental group; n=10), while the first premolar on the other side were left untreated (the control group; n=10). After the PDL cells were isolated from the extracted teeth, gene set enrichment analysis (GSEA), differential expressed gene (DEG) analysis, and real time PCR were performed between the experimental and control groups. GSEA demonstrated that most of the gene sets were related to the cell cycle pathway. In the experimental group, 13 up-regulated genes and 20 down-regulated genes were found compared to the control group through DEG analysis. Real time PCR results confirmed that five up-regulation genes and six down-regulated genes were consistent with RNA sequencing results. We finally ruled out three genes (CPNE3, OPHN1, and PPM1F) which is related periodontal ligament regeneration by these analyses. After mechanical stimulus, CPNE3 and OPHN1 genes are up-regulated and PPM1F gene is down-regulated in periodontal ligament cells. We found the three genes can directly affect periodontal ligament, and further studies are needed to clarify the relationship between mechanical stimulus and periodontal ligament cells.open๋ฐ•
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