174,270 research outputs found
SO MEE KWON
No full text학위논문(박사)--아주대학교 일반대학원 :의학계열,2014. 2TABLE OF CONTENTS
ABSTRACT i
TABLE OF CONTENTS iii
LIST OF FIGURES v
LIST OF TABLES vi
ABBREVIATIONS vii
I. INTORDUCTION 1
A. Background of study 1
B. Cancer genomic study of HCC 3
C. Aims of study 7
II. MATERIALS AND METHODS 10
A. MATERIALS 10
1. Cell-lines 10
2. Human tissues and FFPE samples 10
3. Preparation of RNA and genomic DNA 10
B. METHODS 11
1. Comparative genomic hybridization (CGH) profiling 11
2. Data pre-processing 12
3. DNA copy number profiling based on the T-statistic map (TM) 13
4. cDNA Microarray profiling 14
5. Determination of DNA copy number-dependent transcriptional deregulation 14
6. Validation of the prognostic relevance in the independent data set 15
7. Estimation of genomic DNA copy number by quantitative PCR (qPCR) 16
8. Gene set enrichment analysis 17
9. Short hairpin RNA (shRNA)-mediated knock-down experiment 17
10. Estimation of mRNA expression level using quantitative PCR (qPCR) 20
11. Cell viability and proliferation assay 21
12. Cell invasion assay 22
13. Western Blot analysis 22
14. Statistical analysis 23
III. RESULTS 25
A. Identification of subtype-specific DNA copy number alteration 25
B. Region of Interest at 6p showed subtype-specific DNA copy number alteration and concomitant transcriptional deregulation 32
C. IER3 is a putative biomarker for the ROI at 6p amplicon 33
IV. DISCUSSION 70
V. CONCLUSION 78
VI. REFERENCES 79
국문 요약 91DoctoralIn recent years, cancer heterogeneity, which is essentially inherent in various types of cancer, has been of interest to the cancer genome research. Many studies using various approaches have tried to solve the conundrum of so-called cancer heterogeneity. However, even though many successes have been earned in this area using the genomic analysis, the identification of precise cancer subtypes, which can be informative and useful from the biological and clinical point of view, still remains a challenge. Among the many trials, the multi-layered genomic profiles analysis, in which the genomic copy numbers and gene expression profiles are analyzed by the integrative way to define the chromosomal regions with both genomic copy number variation and concomitant transcriptional deregulation, is posited to provide a promising strategy to identify driver targets. Here, the integrative analysis of the DNA copy numbers and gene expression profiles of hepatocellular carcinoma (HCC) was performed. By comparing DNA copy numbers in HCC subtypes, which have been previously defined based on gene expression pattern, it was found that the HCC subtype showing aggressive phenotype without expressing stemness-related genes had DNA copy number alteration with concordant gene expression changes in the specific chromosomal area at 6p21-24. Among the genes residing at 6p21-24, IER3 was identified as a potential driver. The clinical utility of IER3 copy numbers was demonstrated by validating its clinical correlation in the independent cohorts. In addition, short hairpin RNA-mediated knock-down experiment revealed the functional relevance of IER3 in liver cancer progression. In conclusion, the results of this study suggest that genomic copy number alterations with transcriptional deregulation at 6p21-24 identify an aggressive HCC phenotype and a novel functional biomarker
Mee, T C, QX12155
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/404581Surname: MEE. Given Name(s) or Initials: T C. Military Service Number or Last Known Location: QX12155. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 8677.241432
Item: [2016.0049.36864] "Mee, T C, QX12155
Mr Mee
No full textElderly Scottish bookworm Mr Mee searches the internet for a legendary encyclopedia outlining an 18th c quantum theory. Instead he enters a strange new world of cyber-hoaxers and online pornography. Meanwhile a university lecturer describes research on Jean-Jacques Rousseau and an infatuation with one of his students. And in the third strand of this unique comedy of ideas, set in the spring of 1761, Rousseau's neighbours hold the key to the writer's madness, the lost encyclopedia, and Mr Mee himself
The substance and the shadow: Tale of Two Cities and the French revolution
No full textin C. Jones, J McDonagh and J. Mee Charles Dickens, A Tale of Two Cities, and the French Revolution (Palgrave/Macmillan, 2009
Verdeelsleutel MEE-middelen
No full textHet College voor Zorgverzekeringen (CVZ) voert de subsidieregeling voor de MEE-organisaties uit. Een probleem bij de uitvoering van deze subsidieregeling is dat de budgetten die de MEE-organisaties ontvangen, omgerekend naar een bedrag per inwoner, onderling sterk verschillen. Dit is ontstaan doordat de door de MEE-organisaties aangevraagde wachtlijstmiddelen in 2004 voor de extra inzet van diensten vervolgens structureel zijn gemaakt. Het CVZ heeft SEO Economisch Onderzoek gevraagd een verdeelmodel te ontwikkelen waarbij de subsidies voor de MEE-organisaties worden (her)verdeeld op basis van objectieve verdeelkenmerken. De beslissing om verdeelkenmerken wel of niet op te nemen in het verdeelmodel is gebaseerd op: de plausibiliteit van de relatie tussen de verdeelkenmerken en de behoefte aan subsidie; de statistische significantie van de verdeelkenmerken; hun bijdrage aan de verklaringskracht van het verdeelmodel; de mate waarin aan gestelde criteria wordt voldaan, zoals bijvoorbeeld de niet-beïnvloedbaarheid en betrouwbaarheid van de verdeelkenmerken. De verdeelkenmerken die op basis van bovenstaande analyse in het model zijn opgenomen, zijn: het aantal inwoners, het percentage mannen, het percentage gehuwden, het percentage 20-65-jarigen, de gemiddelde grootte van het huishouden, de omgevingsadressendichtheid, het percentage lage inkomens, de capaciteit van bijzondere woongebouwen en het relatief regionaal klantenpotentieel
Western Blot analysis of MEE.
No full textA. 10μl of middle ear effusions (MEEs) were loaded in a polyacrylamide gel before electrophoresis. Proteins were transferred on a nitrocellulose membrane and exposed to specific antibodies to reveal proteins of interest (as listed in the figure axis). A consistent presence of typical neutrophil markers was noted across tested samples, validating the proteomic results. Of note, not all mediators were identified in each effusion presumably due to protein degradation. B. 10μl of middle ear effusions (MEEs) were loaded in an agarose gel and electrophoresed before transfer to a PVDF membrane and exposed to aMUC5B antibody, revealing a uniform presence of this mucin glycoprotien across tested MEE samples (as expected). C. 10μl of MEEs, neutrophil lysates (PMNs) or PBS were incubated in Substrate Elastase I for 6 hours. The optical density (O.D.) was then read at 410nm to determine the apparition of the resultant chromophore. This demonstrates increased neutrophil elastase (NE) activity in MEE over background diluant levels.</p
Tijdsinzet en productiviteit van MEE-organisaties
No full textHet College voor Zorgverzekeringen (CVZ) voert de subsidieregeling voor de MEE-organisaties uit. Aan deze organisaties wordt subsidie verstrekt om mensen met een beperking te ondersteunen. Voor individuele cliëntondersteuning is deze subsidie gebaseerd op het aantal geleverde diensten vermenigvuldigd met een normbedrag per dienst. Dit normbedrag wordt berekend op basis van de tijdsinzet per dienst (normtijd) en het gehanteerde uurtarief voor een MEE-consulent. Het uurtarief zelf is weer gebaseerd op de gemiddelde kosten van één fte en een vastgesteld aantal werkbare (productieve) uren per MEE-consulent. In opdracht van het CVZ heeft SEO de normtijden geactualiseerd door de gemiddelde tijdsinzet per dienst voor de MEE-organisaties te berekenen. Daarnaast heeft SEO de productiviteit van de MEE-organisaties beoordeeld aan de hand van de gehanteerde norm werkbare uren
Modelling the profitability of credit cards by Markov decision processes
No full textThis paper derives a model for the profitability of credit cards, which allow lenders to find the optimal dynamic credit limit policy. The model is a Markov decision process, where the states of the system are based on the borrower's behavioural score and the decisions are what credit limit to give the borrower each period. In determining the Markov chain which best describes the borrower's performance second order as well as first order Markov chains are considered and estimation procedures that deal with the low default levels that may exist in the data are considered. A case study is used to show how the optimal credit limit can be derive
Immunofluorescence of MEE.
No full textA. Visualization of innate immunity and neutrophil markers by confocal microscopy after immunolabelling. Citrullinated H3 (CitH3), Neutrophil elastase (NE), lysozyme (LYZ), S100A8, S100A9, lactotransferrin (LTF), short Palate Lung And Nasal Epithelium Clone Protein (SPLUNC) were labeled using specific antibodies. The DNA was stained using DAPI. Mounted slides were then observed with a confocal microscope. Each row represnets a separate middle ear effusion sample. B. Visualization of NET extracellular DNA association with mucin MUC5B. The DNA was stained using DAPI. MUC5B was found to associate with extravasated, but not nuclear DNA. The top two rows are from one MEE, while the bottom two are from a separate MEE sample.</p
Demographic and clinical characteristics of patients in different-MEE groups.
No full textΔ<p><i>vs</i> low MEE <i>P</i><0.05, <sup>§</sup><i>vs</i> intermediate MEE <i>P</i><0.05.</p><p>MEE: myocardial energy expenditure; BMI: body mass index; HDL: high densitv lipoprotein; LDL: low-density lipoprotein; VLDL: very low density lipoprotein; eGFR: estimated glomerular filtration rate; NT-proBNP: N-terminal pro brain natriuretic peptide; CRP: c-reactive protein; LVEF: left ventricular ejection fraction; ACEI: angiotensin converting enzyme inhibitor; ARB: angiotensin II receptor blocker.</p
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