35 research outputs found

    Multi-miRNA panel of tumor-derived extracellular vesicles as promising diagnostic biomarkers of early-stage breast cancer

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    Extracellular vesicles (EV) have been emerging as potential biomarkers for disease monitoring. In particular, tumor-derived EV (TDE) are known to carry oncogenic miRNA, so they can be used for diagnosis of early cancer by analyzing the expression levels of EV-miRNA circulating in the blood. Here, using our novel microfluidic device, we rapidly and selectively isolate cancerous EV expressing breast cancer-derived surface markers CD49f and EpCAM within 2 minutes. Based on seven candidates of miRNA nominated from The Cancer Genome Atlas (TCGA) database, the expression levels of miRNA in TDE were validated in a total of 82 individuals, including 62 breast cancer patients and 20 healthy controls. Among seven candidates, four miRNAs (miR-9, miR-16, miR-21, and miR-429) from the EV were highly elevated in early-stage breast cancer patients compared with healthy donors. The combination of significant miRNAs from specific EV has high sensitivities of 0.90, 0.86, 0.88, and 0.84 of the area under the receiver operating characteristic curve (AUC) in each subtype (luminal A, luminal B, HER-2, and triple-negative) of early-stage breast cancer. Our results suggest that the combination of four miRNA signatures of specific EV could serve as a sensitive and specific biomarker and enable early diagnosis of breast cancer using liquid biopsy.ope

    Tumor-Specific miRNA Signatures in Combination with CA19-9 for Liquid Biopsy-Based Detection of PDAC

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    Pancreatic ductal adenocarcinoma (PDAC) is considered one of the most aggressive malignancies and has high mortality and poor survival rates. Therefore, there is an urgent need to discover non-invasive biomarkers for early detection before PDAC reaches the incurable stage. We hypothesized that liquid biopsy of PDAC-derived extracellular vesicles (PDEs) containing abundant microRNAs (miRNAs) could be used for early diagnosis of PDAC because they can be selectively enriched and because they are biologically stable. We isolated PDEs by immunocapture using magnetic beads, and we identified 13 miRNA candidates in 20 pancreatic cancer patients and 20 normal controls. We found that expression of five miRNAs, including miR-10b, miR-16, miR-155, miR-429, and miR-1290, was markedly higher in PDEs. Furthermore, the miRNA signatures along with serum carbohydrate antigen 19-9 (CA19-9) were optimized by logistic regression, and the miRNA signature and CA19-9 combination markers (CMs) were effective at differentiating PDAC patients from normal controls. As a result, the CMs represented a high sensitivity (AUC, 0.964; sensitivity, 100%; specificity, 80%) and a high specificity (AUC, 0.962; sensitivity, 85.71%; specificity, 100%). These findings suggest that five miRNAs expressed in PDEs and CA19-9 are valuable biomarkers for screening and diagnosis of pancreatic cancer by liquid biopsy.ope

    쀑증 μ™Έμƒμ—μ„œ 병원 사망과 μž₯애에 λŒ€ν•œ ν˜„μž₯ μ €μ‚°μ†Œμ¦κ³Ό μ €ν˜ˆμ••μ˜ ꡐ호 μž‘μš©

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : μ˜κ³ΌλŒ€ν•™ μž„μƒμ˜κ³Όν•™κ³Ό, 2019. 2. 신상도.쀑증 외상은 λŒ€ν•œλ―Όκ΅­μ—μ„œ 44μ„Έ μ΄ν•˜ ν™˜μžμ—μ„œ 사망 원인 1μœ„λ₯Ό μ°¨μ§€ν•˜κ³  μžˆλ‹€. 맀년 30,000λͺ… μ •λ„μ˜ ν™˜μžκ°€ μ™ΈμƒμœΌλ‘œ μΈν•΄μ„œ μ‚¬λ§ν•˜κ³  있으며, λ§Žμ€ ν›„μœ  μž₯μ• λ₯Ό λ‚¨κΈ°κ²Œ λœλ‹€. 쀑증 외상 ν™˜μžμ—μ„œ 사망과 ν›„μœ  μž₯μ• λ₯Ό 쀄이고 이λ₯Ό 쑰기에 ν‰κ°€ν•˜κΈ° μœ„ν•΄μ„œ 병원 μ „ 단계인 사건 ν˜„μž₯μ—μ„œ κ΅¬κΈ‰λŒ€μ— μ˜ν•΄ μΈ‘μ • 및 κΈ°λ‘λ˜λŠ” λ³€μˆ˜λ“€μ— λŒ€ν•œ 뢄석이 ν•„μš”ν•¨. 이쀑 ν˜„μž₯μ—μ„œ μΈ‘μ •λœ μ €μ‚°μ†Œμ¦ μ—¬λΆ€κ°€ 사망λ₯  및 ν›„μœ  μž₯μ• μœ¨μ— 영ν–₯을 λ―ΈμΉ˜λŠ”μ§€μ— λŒ€ν•œ 뢄석을 μ§„ν–‰ν•˜μ˜€μŒ. λ˜ν•œ ν˜„μž₯μ—μ„œμ˜ μ €ν˜ˆμ•• 여뢀에 λ”°λΌμ„œ μ΄λŸ¬ν•œ μ €μ‚°μ†Œμ¦μ˜ 영ν–₯이 μ¦κ°€ν•˜λŠ”μ§€ ν•¨κ»˜ λΆ„μ„ν•˜μ˜€μŒ. 2012λ…„, 2013λ…„ λ™μ•ˆ κ΅¬κΈ‰λŒ€λ₯Ό 톡해 μ „κ΅­ 700μ—¬κ°œ 병원에 λ‚΄μ›ν•œ 성인 쀑증 μ™Έμƒν™˜μž 쀑 17,406λͺ…μ˜ ꡬ급기둝 및 μ˜λ¬΄κΈ°λ‘μ„ μˆ˜μ§‘ν•˜μ—¬ 뢄석을 μ§„ν–‰ν•˜μ˜€μŒ. κ΅¬κΈ‰λŒ€μ— μ˜ν•΄ μΈ‘μ •λœ μ €μ‚°μ†Œμ¦ μ—¬λΆ€(μ‚°μ†Œν¬ν™”λ„ 94% 미만)λ₯Ό λ…λ¦½λ³€μˆ˜λ‘œ μ„€μ •ν•˜μ˜€κ³ , 쀑증 μ™Έμƒν™˜μžμ˜ 병원 λ‚΄ 사망λ₯  및 ν›„μœ μž₯μ• μœ¨μ„ κ²°κ³Ό λ³€μˆ˜λ‘œμ„œ μ„€μ •ν•˜μ˜€λ‹€. ν›„μœ μž₯μ•  λ°œμƒ μ—¬λΆ€λŠ” Glasgow Outcome scale의 2점 μ΄μƒμ˜ κ°μ†Œλ‘œ μ •μ˜ν•˜μ˜€λ‹€. κ΅λž€μš”μΈ 보정을 μœ„ν•΄ λ‹€λ³€λŸ‰ νšŒκ·€λΆ„μ„ 및 interaction λͺ¨λΈμ„ μ‚¬μš©ν•˜μ—¬ μ €μ‚°μ†Œμ¦ 및 μ €ν˜ˆμ•• 여뢀와 쀑증 μ™Έμƒν™˜μžμ˜ 사망λ₯ , ν›„μœ  μž₯μ• μœ¨μ˜ μ˜€μ¦ˆλΉ„μ™€ 95% 신뒰ꡬ간을 κ³„μ‚°ν•˜μ˜€λ‹€. 2012-2013λ…„ μ€‘μ¦μ™Έμƒν™˜μž 17,406λͺ…이 λΆ„μ„λ˜μ—ˆμŒ. 이 쀑 14.9%에 ν•΄λ‹Ήν•˜λŠ” 2,598 λͺ…이 μ‚¬λ§ν•˜μ˜€κ³  21.5%에 ν•΄λ‹Ήν•˜λŠ” 3,292λͺ…μ—μ„œ ν›„μœ  μž₯μ• κ°€ λ°œμƒν•˜μ˜€λ‹€. λ˜ν•œ μ€‘μ¦μ™Έμƒν™˜μž 쀑 16.7%에 ν•΄λ‹Ήν•˜λŠ” 2,922λͺ…μ˜ ν™˜μžμ—μ„œ μ‚¬κ³ ν˜„μž₯μ—μ„œ μΈ‘μ •μ‹œ μ‚°μ†Œν¬ν™”λ„ 94% 미만의 μ €μ‚°μ†Œμ¦μ΄ ν™•μΈλ˜μ—ˆμŒ. 쀑증 μ™Έμƒν™˜μž 쀑 μ €μ‚°μ†Œμ¦μ΄ ν™•μΈλœ ν™˜μžμ˜ 사망λ₯ (35.7%)이 그렇지 μ•Šμ€ ν™˜μžμ˜ 사망λ₯ (10.7%) 보닀 λ†’κ²Œ ν™•μΈλ˜μ—ˆκ³  ν›„μœ  μž₯μ•  λ°œμƒ λΉ„μœ¨λ„ 각각 51.2%와 15.9%둜 μ €μ‚°μ†Œμ¦μ΄ ν™•μΈλœ ν™˜μžμ—μ„œ 더 λ†’κ²Œ ν™•μΈλ˜μ—ˆλ‹€. μ€‘μ¦μ™Έμƒν™˜μžμ—μ„œ μ €μ‚°μ†Œμ¦ μ—¬λΆ€μ˜ ν™˜μž 사망 μœ„ν—˜μ— λŒ€ν•œ μ˜€μ¦ˆλΉ„λŠ” 2.15(1.92-2.40) μ΄μ—ˆμŒ. λ˜ν•œ μ €μ‚°μ†Œμ¦ μ—¬λΆ€μ˜ ν›„μœ  μž₯μ•  μœ„ν—˜μ— λŒ€ν•œ μ˜€μ¦ˆλΉ„λŠ” 1.97(1.75-2.21) 둜 ν™•μΈλ˜μ—ˆλ‹€. μ€‘μ¦μ™Έμƒν™˜μžμ—μ„œ μˆ˜μΆ•κΈ°ν˜ˆμ•• 90mmHg 미만의 μ €ν˜ˆμ••μ΄ λ™λ°˜λ˜μ—ˆμ„ 경우 μ €μ‚°μ†Œμ¦ μ—¬λΆ€μ˜ ν™˜μž 사망 μœ„ν—˜μ— λŒ€ν•œ μ˜€μ¦ˆλΉ„λŠ” 2.66(2.32-3.04)μ΄μ—ˆλ‹€. λ˜ν•œ μ €μ‚°μ†Œμ¦ μ—¬λΆ€μ˜ ν›„μœ  μž₯μ•  μœ„ν—˜μ— λŒ€ν•œ μ˜€μ¦ˆλΉ„λŠ” 2.17(1.87-2.53)둜 ν™•μΈλ˜μ—ˆλ‹€. 결둠적으둜, 쀑증 외상 ν™˜μžμ—μ„œ μ €μ‚°μ†Œμ¦ μ—¬λΆ€κ°€ ν™˜μžμ˜ 사망 μœ„ν—˜ λ˜λŠ” ν›„μœ  μž₯μ•  μœ„ν—˜μ„ 높이며, μ €ν˜ˆμ••μ΄ λ™λ°˜λœ 경우 κ·Έ μœ„ν—˜λ„κ°€ λ”μš± μ¦κ°€ν•˜λ―€λ‘œ, κ΅¬κΈ‰λ‹¨κ³„μ—μ„œ μ‚°μ†Œν¬ν™”λ„ 및 ν˜ˆμ•• λ“±μ˜ 생체징후λ₯Ό ν™•μΈν•˜μ—¬ ν™˜μžμ˜ 쀑증도λ₯Ό ν‰κ°€ν•˜κ³  μ ν•©ν•œ 치료λ₯Ό 받을 수 μžˆλ„λ‘ ν•˜μ—¬μ•Ό 함.Background It is unclear whether effect size of the hypoxia is different on in-hospital mortality and disability according to hypotension status in the field. Methods Adult severe trauma (ST) patients during 2012-2013 who were treated by emergency medical services (EMS) and had abnormal revised trauma scores in the field or who had positive trauma triage criteria were analyzed. Exposure was hypoxia (<94%) measured by EMS. End points were hospital mortality and disability defined as a Glasgow Outcome Scale that decreased by 2 points or more. Multivariable logistic regression with interaction model between hypoxia and hypotension was used for outcomes to calculate the adjusted odds ratios (AOR) with 95% confidence intervals (95%CIs) after adjusting for potential confounders. Results A total of 17,406 EMS-ST patients were analyzed. Of those, 2,598 (14.9%) died, and 3,292 (21.5%) were considered disabled at discharge. The total hypoxia group showed higher mortality and disability indices (35.7% and 51.2%) than the non-hypoxia group (10.7% and 15.9%), (each p-value <0.0001). The AOR of hypoxia was 2.15 (1.92-2.40) for mortality and was 1.97 (1.75-2.21) for disability. In the interaction model, AORs for mortality by hypoxia in the hypotensive and non-hypotensive groups were 2.66 (2.32-3.04) and 1.74 (1.61-1.87), respectively (P<0.0001 for interaction). The AORs for disability in the hypotensive and non-hypotensive groups were 2.17 (1.87-2.53) and 1.55 (1.42-1.69), respectively (P<0.0001 for interaction). Conclusions The effect of hypoxia was much greater in the hypotensive group than in the non-hypotensive group both in terms of mortality and disability.1. Background ………………………………………………………… 1 2. Methods ……………………………………………………………… 4 2-1) Study setting ………………………………………………… 4 2-2) Study design and data source …………………………… 6 2-3) Study population …………………………………………… 8 2-4) Data variables ………………………………………………… 8 2-5) Outcome measure ………………………………………… 10 2-6) Statistical analysis ………………………………………… 11 3. Results ……………………………………………………………… 13 3-1) Demographic findings …………………………………… 13 3-2) Main analysis ……………………………………………… 19 3-3) Interaction analysis ……………………………………… 19 3-4) Sensitivity analysis for different study population …20 4. Discussion ………………………………………………………… 27 5. Limitation ………………………………………………………… 33 6. Conclusion ………………………………………………………… 35 7. Disclosure ………………………………………………………… 36 8. Acknowledgment ………………………………………………… 36 9. Reference ………………………………………………………… 37 10. κ΅­λ¬Έ 초둝 ……………………………………………………… 42Maste

    비균일 κ²©μžκ³„μ—μ„œμ˜ νŒŒμˆ˜ν™•μž₯ μœ ν•œμ²΄μ  κΈ°λ²•μ˜ κ°œμ„ μ— κ΄€ν•œ 연ꡬ

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    The focus of the present study is to improve the numerical accuracy of wavenumber-extended finite volume scheme in non-uniform grid system. The basic idea of the present study is to optimize the dispersion-relation at a local cell postion. An optimization procedure is based on grid-optimized finite difference scheme in finite difference framework, and is extended to conservative approximation in finite volume framework. An optimization procedure at a local cell position obtains the numerical accuracy on wave propagation in non-uniform grid system. In addition, to eliminate excessive numerical dissipation in the continuous region, a distinguishing step is modified to predict the suitable approximation value in non-uniform grid system. A structural change of wavenumber-extended finite volume scheme is able to enhance the numerical accuracy of caculation of aeroacoustic problems in non-uniform grid system. An adoption of modified distinguishing step is able to implement e-MLP in non-uniform grid system. Through numerous test cases such as spherical wave propagation, shock/sine wave interaction, acoustic pulse scattering, moving vortex preservation, and shock vortex interaction problems are carried out in non-uniform grid system. The proposed scheme is proven to have better numerical accuracy than the original wavenumber-extended finite volume scheme.λ³Έ μ—°κ΅¬μ˜ λͺ©ν‘œλŠ” 기쑴에 개발된 νŒŒμˆ˜ν™•μž₯ μœ ν•œμ²΄μ  κΈ°λ²•μ˜ 정확도λ₯Ό κ°œμ„ ν•˜κΈ° μœ„ν•¨μ΄λ‹€. 비균일 κ²©μžκ³„μ—μ„œ λ°œμƒν•˜λŠ” 수치적인 였차λ₯Ό μ΅œμ†Œν™” ν•˜κΈ° μœ„ν•˜μ—¬ λ³Έ μ—°κ΅¬μ—μ„œλŠ” 각 νŠΉμ • μ§€μ μ—μ„œμ˜ 이산관계 보쑴에 κ·Όκ±°ν•˜μ—¬ μ΅œμ ν™”λ₯Ό μˆ˜ν–‰ν•˜μ˜€λ‹€. λ³Έ μ—°κ΅¬μ—μ„œ 적용된 μ΅œμ ν™” 기법은 μœ ν•œμ°¨λΆ„λ²•μ— κΈ°μ΄ˆν•œ 격자 μ΅œμ ν™” 이산관계보쑴법을 μ‘μš©ν•˜μ—¬ 이λ₯Ό μœ ν•œμ²΄μ λ²•μ— μ μš©ν•˜μ—¬ 각 μœ ν•œ 체적의 μ…€μ˜ 경계면근사에 μ μš©ν•˜μ˜€λ‹€. μ΄λŸ¬ν•œ μ΅œμ ν™” 기법은 λͺ¨λ“  μ…€μ˜ 각 경계면에 λŒ€ν•΄μ„œ 이루어지며 이λ₯Ό 톡해 비균일 κ²©μžμƒμ—μ„œ μ „νŒŒλ¬Έμ œμ˜ 정확도λ₯Ό ν–₯μƒμ‹œμΌ°λ‹€. μ„ ν˜• μ˜μ—­μ—μ„œμ˜ μ œν•œμžλ‘œ 인해 λΆˆν•„μš”ν•œ 수치적인 감쇄λ₯Ό λ°°μ œν•˜κΈ° μœ„ν•΄μ„œ μœ λ™μ˜ νŠΉμ„±μ„ κ²°μ •ν•˜λŠ” 검증 ν•¨μˆ˜λ₯Ό 비균일 κ²©μžμ— μ ν•©ν•˜λ„λ‘ μ‘°μ •ν•˜μ˜€λ‹€. κΈ°μ‘΄ νŒŒμˆ˜ν™•μž₯ μœ ν•œ μ²΄μ κΈ°λ²•μ˜ ꡬ쑰적인 λ³€ν™”λ₯Ό ν†΅ν•΄μ„œ 비균일 κ²©μžκ³„μ—μ„œμ˜ 곡λ ₯μ†ŒμŒ λ¬Έμ œμ— λŒ€ν•œ 수치적 정확도λ₯Ό ν–₯μƒμ‹œν‚¬ 수 μžˆμ—ˆμœΌλ©°, λ˜ν•œ μ μ ˆν•œ κ²€μ¦ν•¨μˆ˜λ₯Ό μ μš©ν•¨μœΌλ‘œ 비균일 κ²©μžκ³„μ—μ„œλ„ κ°œμ„ λœ 닀차원 μ œν•œμžλ₯Ό λ„μž…μ΄ κ°€λŠ₯ν•˜μ˜€λ‹€. μ΄λŸ¬ν•œ 수치적 κΈ°λ²•μ˜ κ°œμ„ μ μ„ κ²€μ¦ν•˜κΈ° μœ„ν•΄μ„œ ꡬ면파 방사, 좩격파-μ‚¬μΈνŒŒ μƒν˜Έμž‘μš©, 음ν–₯파 μ „νŒŒ ν˜„μƒ, 와λ₯˜ 보쑴 ν˜„μƒ, 및 좩격파-와λ₯˜ μƒν˜Έμž‘μš©μ˜ λ¬Έμ œμ™€ 같은 κ²€μ¦λ¬Έμ œλ₯Ό 비균일 κ²©μžκ³„μƒμ—μ„œ ν•΄μ„ν•˜μ˜€λ‹€. 이λ₯Ό 톡해 κ°œμ„ λœ μˆ˜μΉ˜κΈ°λ²•μ€ κΈ°μ‘΄ νŒŒμˆ˜ν™•μž₯ μœ ν•œ 체적 기법에 λΉ„ν•΄ 보닀 높은 정확성을 가짐을 확인할 수 μžˆμ—ˆλ‹€.Docto

    Predicting Subway Passenger Flows By Spatio-temporal Modeling

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› μžμ—°κ³Όν•™λŒ€ν•™ 톡계학과, 2017. 8. μž„μ±„μ˜.μ§€ν•˜μ² μ€ 신속성과 νŽΈλ¦¬ν•¨μœΌλ‘œ 인해 λ§Žμ€ μ‚¬λžŒλ“€μ΄ μ΄μš©ν•˜λŠ” κ΅ν†΅μˆ˜λ‹¨μ΄λ‹€. 톡계적 λͺ¨ν˜•ν™”λ₯Ό 톡해 μ‹œκ°„λŒ€λ³„ μ§€ν•˜μ²  μŠΉμ°¨μΈμ›μ„ μ˜ˆμΈ‘ν•˜κ³ μž 이 논문이 μ“° μ—¬μ‘Œλ‹€. λ§Žμ€ μ’…λ₯˜μ˜ 데이터 μ€‘μ—μ„œ μœ„μΉ˜μ •λ³΄λ₯Ό ν¬ν•¨ν•œ 곡간 데이터가 μ£Όλͺ©μ„ λ°›κ³  있으며 μœ„μΉ˜μ •λ³΄μ— μ˜ν•œ μ˜μ‘΄μ„±μ„ κ³ λ €ν•œ 곡간 톡계 방법둠이 λ°œμ „ν•˜κ³  μžˆλ‹€. μ„œμšΈμ˜ 각 μ§€ν•˜μ² μ—­μ— μœ„μΉ˜μ •λ³΄λ₯Ό λΆ€μ—¬ν•˜κ³  곡간적 μ˜μ‘΄μ„±κ³Ό μ‹œκ°„μ— λ”°λ₯Έ μ˜μ‘΄μ„±μ„ ν•¨κ»˜ κ³ λ €ν•œ μ‹œκ³΅κ°„ λͺ¨ν˜•ν™”λ₯Ό 톡해 μ§€ν•˜μ²  μŠΉμ°¨μΈμ›μ„ μ˜ˆμΈ‘ν•˜λ € ν•œλ‹€. μ§€ν•˜μ²  μŠΉμ°¨μΈμ›μ„ μ •κ·œλΆ„ν¬λ‘œ κ°€μ •ν•˜κ³  λͺ‡ 가지 κ³΅λ³€λŸ‰κ³Ό B-μŠ€ν”ŒλΌμΈ κ³‘μ„ μœΌλ‘œ 평균ꡬ쑰λ₯Ό κ΅¬μ„±ν•œλ‹€. κ³΅λΆ„μ‚°κ΅¬μ‘°λŠ” μ‹œκ°„μ— λ”°λ₯Έ μ˜μ‘΄μ„±κ³Ό 곡간에 μ˜ν•œ μ˜μ‘΄μ„±μ΄ 뢄리가λŠ₯ν•˜λ‹€κ³  κ°€μ •ν•˜μ—¬ μ§€μˆ˜λͺ¨ν˜•μ„ μ μš©ν•˜λ©° μ΅œμ’… λͺ¨ν˜•μ˜ λͺ¨μˆ˜λŠ” μ΅œλŒ€μš°λ„ μΆ”μ •λ²•μœΌλ‘œ μΆ”μ •λœλ‹€.1 μ„œλ‘  (Introduction) 1 1.1. 곡간 데이터 (Spatial data) 1 1.2. μ‹œκ³΅κ°„ν™•λ₯ κ³Όμ • (Spatio-temporal Stohastic Process) 2 1.3. 연ꡬ λͺ©ν‘œ 2 2 데이터 μ„€λͺ… (data description) 4 2.1. 데이터 μ „μ²˜λ¦¬ (data pre-processing) 5 2.2. 데이터 μ‹œκ°ν™” (data visualizing) 6 3 μ˜μ‘΄μ„±μ˜ 탐색 (Exploring dependencies) 10 3.1. 배리였그램 (Variogram) 11 3.2. 배리였그램 ꡬ름 (Variogram cloud) 12 3.3. κ²½ν—˜μ  배리였그램 (Empirical variogram) 13 3.4. λͺ¨μˆ˜ 배리였그램-곡뢄산 λͺ¨ν˜• 적합 (Parametric variogramcovariance model fitting) 16 4 μ‹œκ³΅κ°„ 크리깅λͺ¨ν˜• (Spatio-Temporal Kriging Model) 20 4.1. μ‹œκ³΅κ°„ κ°€μš°μ‹œμ•ˆ κ³Όμ • (Gaussian Process) 20 4.2. 평균 ꡬ쑰 (Mean Structure) 21 4.3. 곡뢄산 ꡬ쑰 (Covariance Structure) 22 4.4. μ΅œλŒ€μš°λ„μΆ”μ • (Maximum Likelihood Estimator) 23 4.5. 일반 크리깅 (Universal Kriging) 25 5 데이터 뢄석 (Data Analysis) 27 5.1. 예츑 κ²°κ³Ό 27 6 κ²°λ‘  (Conclusion) 33Maste

    λŒ€μž₯κ· μ—μ„œμ˜ CRISPR/Cas9 μ‹œμŠ€ν…œ 및 λΌμ΄λ³΄μžμž„μ„ μ΄μš©ν•œ 닀쀑 κ²Œλ†ˆ νŽΈμ§‘ 방법 ꡬ좕 및 μ‘μš©

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    ν•™μœ„λ…Όλ¬Έ (박사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : κ³΅κ³ΌλŒ€ν•™ ν˜‘λ™κ³Όμ • λ°”μ΄μ˜€μ—”μ§€λ‹ˆμ–΄λ§μ „κ³΅, 2018. 8. 김병기.Engineering cellular metabolism for improved production of valuable products requires extensive modulation of bacterial genome to explore complex genetic spaces. In order to introduce genetic modifications for rebalancing the metabolic flux, target genes to be modulated should be determined, and the expression of target genes should be optimized. However, it is difficult to select the target genes precisely because it is very labor-intensive to identify all the effects of the expression changes of the all genes involved in the metabolic pathway on the production of the target product. In addition, even if several genes were selected to be modulated, it is difficult to optimize the metabolic pathway because the combination of modulation may cause detrimental effects on the strain. Therefore, in order to overcome the drawbacks described above, it is reasonable to conduct the metabolic engineering using a combinatorial approach. A combinatorial approach is to screen strain with the best phenotype among the various mutation library expected to improve the desired phenotype. Therefore, in order to generate the mutant library, the tool to introduce mutations at multiple loci is required. In this thesis, we established the multiple sgRNA generation strategy to enable the metabolic pathway optimization using the CRISPR/Cas system. The dCas9-Ο‰, which fused the transcriptional activator domain to inactivated cas9 (dCas9), can activate or repress target gene expression depending on the design of the sgRNA. Therefore, if multiple sgRNAs can be generated, the expression of several genes can be modulated simultaneously without genetic modification. For this reason, the strategy to generate multiple sgRNAs was required, and we constructed a strategy to produce several sgRNAs from one primary transcript using the self-cleavage property of Rz. By combining multiple sgRNA production strategies with the dCas9-Ο‰ system, target genes that have a strong effect on phenotypic enhancement can be efficiently identified. After identification of target genes to be modulated, genetic engineering should be performed to alter the expression of those genes. Modulating in the expression level of a single gene to fine tune the metabolic flux often results in a change in the overall flux. Therefore, when optimizing the expression levels of target genes to achieve the desired phenotype through the metabolic engineering, the combinatorial approach is more reasonable than the sequential approach. To do this, it is necessary to be able to construct a library of sufficient size that incorporates genetic modifications to various locations within the chromosome. However, the multiplexing methods reported in the literature have limitations in producing mutant libraries for applying the combinatorial approach because the recombination efficiency is very low and negative selection is not efficient. Therefore, we have designed a system that allows a combinatorial approach by using the CRISPR/Cas system to introduce a mutation library for one site in one cycle and accumulate a mutation library for multiple sites by repeating this cycle. Therefore, we have constructed a plasmid capable of obtaining high CFU with high editing efficiency through the CRISPR/Cas system, and confirmed that a strain in which mutations were introduced into three different target genes could be generated with high efficiency.Chapter 1. Introduction 1 1.1 Genome editing with CRISPR/Cas system 2 1.1.1 CRISPR/Cas system 2 1.1.2 CRISPRi system 8 1.2 Multiple sgRNA generation strategy 12 1.2.1 Conventional methods to generate multiple sgRNAs. 12 1.2.2 Multiple sgRNA generation by using Rz 16 1.2.3 Methods to calculate the Rz efficiency 16 1.3 Multiplex genome editing . 21 1.3.1 MAGE . 21 1.3.2 CRMAGE 23 1.4 The scope of thesis. 23 Chapter 2. Materials and methods. 25 2.1 Bacterial strains and culture conditions 26 2.2 Plasmid construction 30 2.2.1 Design of transcripts containing HHRzs 30 2.2.2 Plasmid construction to express transcripts containing HHRzs 32 2.2.3 Construction of sgRNA transcribing plasmid 36 2.2.4 plasmids construction for CRISPR/Cas system . 42 2.3 Extraction of RNA from E. coli 47 2.4 In vitro transcription 47 2.5 Reverse transcription. 47 2.6 Quantification of transcript. 48 2.7 Circularized RT-PCR 48 2.8 Genome editing using CRISPR/Cas system . 49 2.9 Measurement of the endonuclease activity of Cas9 protein 51 2.10 Plasmid curing . 51 2.11 Lycopene measurement 51 Chapter 3. Development of Quenching-qPCR (Q-Q) assay for measuring absolute intracellular cleavage efficiency of Rz. 53 3.1 Development of calculation method of absolute cleavage efficiency of HHRz . 54 3.2 Quenching method to deactivate the in vitro cleavage activity of HHRz by using asDNA and anti-asDNA 57 3.3 The calculated intracellular cleavage efficiency of Rz was constant regardless of the degree of mRNA degradation. 61 3.4 Conclusion . 65 Chapter 4. Multiple engineering in Escherichia coli by using CRISPR/cas system couple with Rz . 67 4.1 Multiple sgRNA generating strategy by using Rz 68 4.2 In vivo cleavage assay of Rz . 71 4.3 Mature sgRNAs cleaved by Rz have function as a navigator of dCas9 73 4.4 The number of functional sgRNAs was increased up to five by transcribing a primary transcript using strong promoter. 76 4.5 Efficient multiplex genome engineering in Escherichia coli via CRISPRz. 79 4.6 Application of CRISPRi system in lycopene production . 82 4.7 Conclusion . 85 Chapter 5. Enhancement of the CRISPR/Cas9 editing by improving the homologous recombination efficiency 88 5.1 Attempts to enable multiple genome editing through improved HR efficiency have not been successful. 89 5.2 Verification of endonuclease activity of Cas9 of pCASRec. 96 5.3 Verification of HR efficiency of pCASRec 99 5.4 Optimization of experimental conditions using pCASRec: Temperature 101 5.5 Optimization of experimental conditions using pCASRec: Arabinose induction . 103 5.6 Sequential mutagenesis using pCASRec allows multiple editing 105 5.7 Conclusion . 108 Chapter 6. Overall Conclusion and Further Suggestions 110 6 Overall conclusion and further suggestions. 111 References . 114 Abstract in Korean . 121Docto

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    ν•™μœ„λ…Όλ¬Έ(석사) --μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :심리학과 μž„μƒΒ·μƒλ‹΄μ‹¬λ¦¬ν•™ 전곡,2006.Maste

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