目前廣泛應用于胎兒醫學的唐氏綜合症篩查法，即結合早孕期胎兒頸項透明層的超聲檢查，及母體血清生化指標的綜合篩查法。頸項透明層是指在早孕期利用超聲檢測到的胎兒頸后的皮下積水，其作為預測胎兒異常的一項重要“軟指標，其臨床意義，尤其是與胎兒染色體異常及器官結構異常之間的關係，逐漸得到深入的認識，但其形成機制尚未明確。現在已知有一百餘種畸形及遺傳綜合征與胎兒頸項透明層增厚相關，但其染色體異常譜系，尤其是亞顯微的染色體異常仍有待明確。大部分頸項透明層增厚但核型正常的胎兒預後良好，但約3-10%的這部分胎兒會伴有畸形或出生后的神經智力發育缺陷。而傳統核型分析無法檢測到亞顯微的染色體異常，從而無法判斷這部分核型正常卻伴有缺陷的胎兒是否因為這類染色體異常而致病。 / 微陣列比較基因組雜交芯片作為檢測兒童發育遲緩者及器官結構異常原因的重要手段已廣泛應用于臨床。在染色體核型正常的胎兒中，若伴有器官結構異常的胎兒，5-12%被檢出與該畸形相關的微缺失及微重複；若僅伴有孕婦高齡或唐氏篩查高危，則微缺失及微重複檢出率約1%。 / 該課題旨在研究頸項透明層增厚但核型正常的胎兒中，染色體拷貝數變異發生的頻率及頻譜；評估微陣列比較基因組雜交芯片在協助臨床判斷胎兒預後中的作用。因此，我們開展該多中心隊列研究，通過納入449例頸項透明層厚度≧3.5 mm但正常核型胎兒的，檢測其染色體拷貝數變異，監測并記錄其圍產、產後及新生兒期情況。微陣列比較基因組雜交芯片總共檢出2.8%的異常拷貝數變異，其大小範圍為0.1 kb至18Mb。在伴有器官結構異常的胎兒組中，異常拷貝數變異檢出率達7.8%。對於頸項透明層厚度≧4.0 mm的胎兒，異常拷貝數變異檢出率可達7.3%。 / 對於頸項透明層增厚的胎兒，致病拷貝數變異暫未發現特定的頻譜。但，該研究中發現重複的致病拷貝數變異，如22號染色體長臂1區1帶的微重複或微缺失，2號染色體長臂2區2帶的微缺失。未在3號、7號、12號、13號、18號、20號、21號或Y染色體上發現與胎兒頸項透明層增厚相關的致病拷貝數變異。 / 頸項透明層增厚的胎兒79.3%預後良好；若經微陣列比較基因組雜交芯片未檢出致病拷貝數變異，則81.2%預後良好。如果僅頸項透明層增厚不伴有結構異常的胎兒，經微陣列比較基因組雜交芯片未檢出致病拷貝數變異，則93.5%預後良好。 / 綜上所述，微陣列比較基因組雜交芯片顯著提高了致病拷貝數變異的檢出率。可考慮將微陣列比較基因組雜交芯片作為頸項透明層厚度≧4.0 mm的胎兒染色體異常檢查的首要方法。對於僅頸項透明層增厚不伴有結構異常的胎兒，且經微陣列比較基因組雜交芯片未檢出致病拷貝數變異，絶大部分預後良好。對於頸項透明層增厚的胎兒，致病拷貝數變異暫未發現特定的頻譜，但發現重複出現的致病拷貝數變異。通過初步的基因本體分析及基因通路分析，神經嵴細胞的分化遷徙功能異常可作為今後研究頸項透明層增厚的病理生理機制的方向。 / Measurement of nuchal translucency (NT) has been recognized as a sensitive marker for fetal chromosomal disorders for more than a decade, and is presently used as a routine first-trimester screening test. Although over 100 abnormalities and genetic syndromes have been reported to be associated with increased NT, these associations have not been fully explored and the relevant spectrum of associated submicroscopic chromosomal abnormalities has not been sufficiently investigated. The majority of euploid fetuses with increased NT have a good outcome, but around 3-10% of fetuses present with structural or neurodevelopmental abnormalities postnatally. A range of genetic syndromes has been reported, many of which are linked to submicroscopic chromosomal abnormalities that are typically missed by conventional karyotyping. / Microarray-based comparative genomic hybridization (arrayCGH) has been applied as the first-tier diagnostic tool for the evaluation of developmental delay and structural malformations in children. In fetuses with a normal karyotype, microarray analysis revealed clinically relevant deletions or duplications in 5-12% with a structural anomaly and in about 1% of those whose indications were advanced maternal age or positive screening results. / The objectives of this study were to delineate the frequency and spectrum of pathogenic chromosome copy number variants (CNVs) among fetuses with increased NT and normal karyotype; to evaluate the role of arrayCGH to predict the prognosis of the high NT fetuses; to explore the genotype-phenotype correlations of increased NT. Therefore, a multi-centre cohort of 449 fetuses with NT ≧3.5 mm and normal karyotype were further investigated by arrayCGH. Antenatal surveillance, pregnancy outcome and paediatric follow up were documented. ArrayCGH detected abnormal CNVs in 2.8% (14 of 449) of the fetuses with high NT; the size of CNVs ranged from 0.1 kb to 18Mb. Among fetuses with major congenital abnormalities the incidence of abnormal CNV reached 7.8% (4 of 51). By adjusting the NT to ≧4.0 mm as the referral indication, 7.3% (14 of 192) of the fetuses would have abnormal arrayCGH results. The spectrum of pathogenic CNVs found associated with increased NT was diverse. However, there were recurrent ones such as the deletions or duplications at chromosomal region 22q11, and deletions in ZEB2. There was no pathogenic CNV related with increased NT found in chromosomes 3, 7, 12, 13, 18, 20, 21, or Y. The total normal outcome rate of euploid fetuses with an increased NT was 79.3%; for fetuses with normal arrayCGH results 81.2% had a normal outcome. In fetuses with isolated increased NT, normal arrayCGH results predict a favorable prognosis of 93.5%. / In conclusion, arrayCGH significantly increased the diagnostic yield of pathogenic CNVs. In clinical practice arrayCGH may be considered as the first tier investigation in fetuses with an increased NT more than 4.0 mm. In cases with an isolated increased NT with normal arrayCGH results the pregnancy outcome is likely to be favorable. The spectrum of abnormal CNVs found by arrayCGH is diverse but there are recurrent cases such as del/dup 22q11 and del ZEB2. Our preliminary gene ontology and pathway analysis showed that gene pathways related to neural crest cells may be considered as a future study for physiopathologic mechanisms of NT. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Huang, Jin. / Thesis (Ph.D.) Chinese University of Hong Kong, 2014. / Includes bibliographical references (leaves 106-120). / Abstracts also in Chinese.

O presente estudo avaliou o perfil farmacogenômico de 338 pacientes, sob terapia antiagregante. Os pacientes foram submetidos a tratamento prévio com AAS (100mg/dia) e clopidogrel (75mg/dia) por no mínimo cinco dias antes da angioplastia coronária. Os indivíduos com resposta considerada indesejada <30% de inibição de PRU (do inglês, P2RY12 Reaction Unit) para clopidogrel e >550 ARU (do inglês, Aspirin Reaction Unit), foram considerados como não respondedores. As concentrações plasmáticas dos antiagregantes foram determinadas por cromatografia líquida acoplada à espectrometria de massa do tipo triploquadrupolo (LC-MS/MS). A taxa da inibição da agregação plaquetária foi medida utilizando-se o sistema VerifyNow®. A expressão gênica global das células totais do sangue periférico foi avaliada pela tecnologia de microarranjos de DNA Human Exon ST 1.0 Array. Características genotípicas dos pacientes também foram avaliadas pelo sistema Sequenom®. Assim, foi possível obter como resultados a identificação de 64% e 10% para pacientes não respondedores ao clopidogrel e AAS respectivamente, sendo que para o primeiro foi possível identificar a associação desta não resposta a variáveis clínicas como diabetes (p = 0,003), hipertensão (p = 0,011) e hábito de fumar (p = 0,041) e sexo (p = 0,022) e idade dos pacientes (p = 0,004) em relação à resposta ao AAS. O método de quantificação simultânea do clopidogrel, seu metabólito majoritário e do AS (metabólito do AAS), apresentou limites de quantificação entre de 2 a 500 ng/mL, 2 a 2000 ng/mL e de 20 a 2000 ng/mL, respectivamente. O estudo de associação encontrou uma relação significante da presença dos SNPs presentes nos genes CYP5A1 (rs2299890) e CYP2C19 (rs4244285 e rs3758580), com a variação na resposta ao clopidogrel, obtendo um valor de p corrigido pelo teste de permutação inferior a 0,001. Como também, uma fraca associação da variação na resposta do AAS com o SNP rs9605030 do gene COMT (p = 0,009). Os resultados do microarranjos relacionaram a resposta terapêutica ao clopidogrel com os genes CA2, MKRN1, ABCC3 e MBP seguido dos genes NFIA e IGF1R para a resposta ao AAS. Concluindo que o estudo farmacogenômico apresentou todo o seu potencial para relacionar variáveis como resposta, concentração farmacológica plasmática, SNPs e expressão global de RNAm, possibilitando assim compreender melhor a variação no tratamento antiagregante. / This study investigated the pharmacogenomics profile of 338 patients under antiplatelet therapy. Patients undergoing pretreatment with ASA (100 mg/day) and clopidogrel (75mg/day) for at least five days prior to coronary angioplasty. Individuals with response <30% of PRU (P2RY12 reaction unit) were considering non responder for clopidogrel and >550 of ARU (aspirin reaction unit), were considered as non responders for ASA. Plasma concentrations of the antiagregation drugs were determined by liquid chromatography followed mass spectrometry of triple quadrupole detection (LC-MS/MS). The rate of inhibition of platelet aggregation was measured using the VerifyNow® system. The global gene expression of total cells in blood was assessed by DNA microarray technology Human Exon 1.0 ST Array. Genotypic characteristics of the patients were also evaluated by the Sequenom® system. Thus it was possible to obtain results such as identification of 64% and 10% for patients non responders to clopidogrel and aspirin respectively, and for the first could identify the association of this response to variables such as diabetes (p = 0.003), hypertension (p = 0.011) and smoking (p = 0.041) for clopidogrel and sex and age in relation to response to ASA (p = 0.022 and p = 0.004, respectively). The method of simultaneous quantification of clopidogrel and its major metabolite of AS (metabolite of ASA), had quantification limits between 200 to 500 ng/mL 2000-2000 ng/mL and 20 to 2000 ng/mL, respectively. The association study found a significant grating presence of SNPs present in genes CYP5A1 (rs2299890) and CYP2C19 (rs4244285 and rs3758580), with the variation in the response to clopidogrel, obtaining a corrected p value by permutation test below 0.001. As well, a weak association of variation in the response of ASA with the SNP rs9605030 of the gene COMT (p = 0.009). The results of microarray related therapeutic response to clopidogrel with genes CA2, MKRN1, ABCC3 and MBP followed by NFIA and IGF1R genes for response to ASA. Concluding that the pharmacogenomics study showed its potential to relate variables such as response, plasma drug concentration, SNPs and global expression of mRNA, thus enabling better understand the variation in antiplatelet treatment.

Wong, Ling Yee. / Thesis submitted in: August 2007. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 110-127). / Abstracts in English and Chinese. / Thesis Abstract --- p.i / 論文摘要 --- p.iv / Acknowledgements --- p.vi / Abbreviations --- p.vii / Thesis Content --- p.xii / List of Figures --- p.xv / List of Tables --- p.xvii / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Literature Review --- p.3 / Chapter 2.1. --- Multiple Myeloma (MM) --- p.3 / Chapter 2.1.1 --- Epidemiology --- p.4 / Chapter 2.1.2 --- Cause and Risk Factors --- p.5 / Chapter 2.1.3 --- Pathophysiology --- p.5 / Chapter 2.1.4 --- Diagnosis and Clinical Presentation --- p.6 / Chapter 2.1.5 --- Classification of Plasma Cell Disorders --- p.6 / Chapter 2.1.5.1 --- Monoclonal Gammopathy of Undetermined Significance (MGUS) --- p.6 / Chapter 2.1.5.2 --- Asymptomatic (Smouldering) MM --- p.7 / Chapter 2.1.5.3 --- Indolent MM --- p.7 / Chapter 2.1.5.4 --- Symptomatic MM --- p.8 / Chapter 2.1.6 --- Staging --- p.9 / Chapter 2.1.7 --- Treatment --- p.11 / Chapter 2.1.8 --- Molecular Abnormality --- p.12 / Chapter 2.2 --- DNA Microarray Analysis in MM --- p.13 / Chapter 2.2.1 --- MM Pathogenesis --- p.15 / Chapter 2.2.2 --- Molecular Classification of MM --- p.18 / Chapter 2.2.3 --- Anti-MM Drug Studies --- p.22 / Chapter 2.3 --- Cancer Treatment Response Prediction --- p.24 / Chapter 2.3.1 --- MP Treatment --- p.24 / Chapter 2.3.1.1 --- Melphalan --- p.25 / Chapter 2.3.1.2 --- Prednisone --- p.27 / Chapter 2.3.1.3 --- MP Treatment Response Prediction in MM --- p.29 / Chapter 2.3.2 --- Cancer Prognosis using DNA Microarray --- p.31 / Chapter Chapter 3 --- Materials and Methods --- p.36 / Chapter 3.1. --- Patient Specimens for Gene Expression Profiling and Quantitative Real-time PCR --- p.36 / Chapter 3.2. --- Magnetic Cell Sorting of CD138-positive Plasma Cells --- p.37 / Chapter 3.2.1 --- Density Gradient Centrifugation --- p.37 / Chapter 3.2.2 --- Positive Selection of CD138-positive Cells --- p.37 / Chapter 3.3 --- Generation of Gene Expression Profiles --- p.39 / Chapter 3.3.1 --- RNA Extraction --- p.39 / Chapter 3.3.2 --- RNA Assessment --- p.40 / Chapter 3.3.3 --- Synthesis and Purification of Double-strand cDNA --- p.40 / Chapter 3.3.4 --- In vitro Transcription (IVT) and Recovery of Biotin-labeled cRNA --- p.41 / Chapter 3.3.5 --- cRNA Fragmentation and Hybridization Reaction Mixture Preparation --- p.41 / Chapter 3.3.6 --- Hybridization --- p.42 / Chapter 3.3.7 --- Post-hybridization Wash --- p.42 / Chapter 3.3.8 --- Detection with Streptavidin-dye Conjugate --- p.43 / Chapter 3.3.9 --- Bioarray Scanning and Spot Signal Quantitation --- p.43 / Chapter 3.4 --- Microarray Data Analysis --- p.45 / Chapter 3.4.1 --- Normalization and Filtering --- p.45 / Chapter 3.4.2 --- Unsupervised Clustering Analysis --- p.45 / Chapter 3.4.3 --- Supervised Class Comparison Analysis --- p.46 / Chapter 3.5 --- Microarray Verification and Candidate Gene Validation --- p.47 / Chapter 3.5.1 --- RNA Extraction --- p.47 / Chapter 3.5.2 --- Reverse Transcription PCR --- p.47 / Chapter 3.5.3 --- Quantitative Real-time PCR --- p.48 / Chapter 3.6 --- Predictive Value Calculation --- p.49 / Chapter 3.7 --- Experimental Flow --- p.49 / Chapter Chapter 4 --- Results --- p.53 / Chapter 4.1 --- Gene Expression Profiling of Chinese MM --- p.53 / Chapter 4.1.1 --- Unsupervised Clustering Analysis --- p.53 / Chapter 4.1.1.1 --- Hierarchical Clustering --- p.53 / Chapter 4.1.1.2 --- Principal Component Analysis (PCA) --- p.54 / Chapter 4.1.2 --- Identification of Statistically Differentially Expressed Genes --- p.58 / Chapter 4.1.2.1 --- Two-Sample t-statistics --- p.58 / Chapter 4.1.2.2 --- Significance Analysis of Microarrays (SAM) --- p.58 / Chapter 4.1.2.3 --- Microarray Verification --- p.66 / Chapter 4.2 --- Development of MP Treatment Response Biomarker in MM --- p.70 / Chapter 4.2.1 --- Unsupervised Clustering Analysis --- p.70 / Chapter 4.2.1.1 --- Hierarchical Clustering --- p.70 / Chapter 4.2.1.2 --- PCA --- p.70 / Chapter 4.2.2 --- Identification of Statistically Differentially Expressed Genes --- p.74 / Chapter 4.2.2.1 --- Two sample t-statistics --- p.74 / Chapter 4.2.2.2 --- SAM --- p.74 / Chapter 4.2.3 --- Verification of Candidate Gene CYB5D1 --- p.76 / Chapter Chapter 5 --- Discussion --- p.79 / Chapter 5.1 --- Global Gene Expression Profiling: DNA Microarray --- p.79 / Chapter 5.2 --- Microarray Data Normalization and Gene Filtering --- p.81 / Chapter 5.3 --- Microarray Data Analysis --- p.83 / Chapter 5.3.1 --- Unsupervised Clustering Analysis --- p.83 / Chapter 5.3.1.1 --- Hierarchical Clustering --- p.83 / Chapter 5.3.1.2 --- PCA --- p.85 / Chapter 5.3.2 --- Identification of Statistically Differentially Expressed Genes --- p.86 / Chapter 5.4 --- Verification of Candidate Genes by Quantitative Real-time PCR --- p.89 / Chapter 5.5 --- Gene Expression Profiling of Chinese MM --- p.90 / Chapter 5.5.1 --- Comparison of Gene Expression Patterns of MM and Normal Plasma Cells --- p.90 / Chapter 5.5.2 --- Differentially Expressed Genes between MM and Normal Plasma Cells..… --- p.91 / Chapter 5.5.2.1 --- Common Differentially Expressed Genes with Previous Studies --- p.94 / Chapter 5.5.2.2 --- Potential Tumor Suppressor Genes in Differentially Expressed Genes..… --- p.96 / Chapter 5.5.2.3 --- Verified Differentially Expressed Genes --- p.98 / Chapter 5.5.3 --- Future Studies --- p.101 / Chapter 5.6 --- Development of MP Treatment Response Biomarker in MM --- p.103 / Chapter 5.6.1 --- Comparison of Gene Expression Patterns of MP Good Responders (GR) and Poor Responders (PR) --- p.103 / Chapter 5.6.2 --- Differentially Expressed Gene between MP GR and PR: CYB5D1 --- p.104 / Chapter 5.6.3 --- Possible Role of CYB5D1 in MP Resistance in MM Cells --- p.104 / Chapter 5.6.4 --- Potential Clinical Application of CYB5D1 in MP Treatment Response Prediction in MM --- p.106 / Chapter 5.6.5 --- Future Studies --- p.106 / Chapter Chapter 6 --- Conclusion --- p.108 / Chapter 6.1 --- Gene Expression Profiling of Chinese MM --- p.108 / Chapter 6.2 --- Development of MP Treatment Response Biomarker in MM --- p.108 / References --- p.110 / Appendix --- p.128

<p>During the development and lifecycle of multicellular organisms, cells have to die, and this occurs by a process called programmed cell death or PCD, which can be separated from necrosis or accidental cell death (Pennell and Lamb, 1997). Senescence is the terminal phase in the development of an organism, organ, tissue or cell, where nutrients are remobilized from the senescing parts of the plant into other parts, and the cells of the senescing organ or tissue undergo PCD if the process is not reversed in time. Leaf senescence involves cessation of photosynthesis, loss of pigments and proteins, nutrient remobilization, and degradation of the plant cells (Smart, 1994). Initiation of leaf senescence is triggered by a wide range of endogenous and environmental factors, that through unknown pathways controls the process, and regulates the expression of senescence-associated genes (SAGs) (Buchanan-Wollaston, 1997). Autumn leaf senescence in deciduous trees is regulated by photoperiod and temperature, and is an attractive experimental system for studies on senescence in perennial plants.</p><p>We have studied the process of autumn senescence in a free-growing aspen (Populus tremula) by following changes in pigment, metabolite and nutrient content, photosynthesis, and cell and organelle integrity. All data were combined in a cellular timetable of autumn senescence in aspen. The senescence process started on September 11 with degradation of pigments and other leaf constituents, and once initiated, progressed steadily without being affected by the environment. Chloroplasts were rapidly degraded, and mitochondria took over energy production after chlorophyll levels had dropped by 50%. At the end of remobilization, around 29th of September, some cells were still metabolically active and had chlorophyll-containing plastids. Over 80% of nitrogen and phosphorus was remobilized, and a sudden change in the 15N of the cellular content on September 29, indicated that volatile compounds may have been released.</p><p>We have also studied gene expression in autumn leaves by analysing EST sequences from two different cDNA libraries, one from autumn leaves of a field-grown aspen and the other from young, but fully expanded leaves of a green-house grown aspen. In the autumn leaf library, ESTs encoding metallothioneins, proteases, stress-related proteins and proteins involved in respiration and breakdown of macromolecules were abundant, while genes coding for photosynthetic proteins were massively downregulated. We have also identified homologues to many known senescence-associated genes in annual plants.</p><p>By using Populus cDNA microarrays, we could follow changes in gene expression during the autumn over four years in the same free-growing aspen tree. We also followed changes in chlorophyll content to monitor the progression of leaf senescence. We observed a major shift in gene expression, occuring at different times the four years, that reflected a metabolic shift from photosynthetic competence to energy generation by mitochondrial respiration. Even though autumn senescence was initiated almost at the same date each year, the transcriptional timetables were different from year to year, especially for 2004, which indicates that there is no strict correlation between the transcriptional and the cellular timetables of leaf senescence.</p>

<p>Microarray technology is a promising approach for the simultaneous analysis of multiple single nucleotide polymorphisms (SNPs), which are the most abundant form of genetic variation. In this thesis enzyme-assisted microarray-based methods were developed to improve the accuracy and genotype discrimination power of the current methods for SNP genotyping. The improved technology was applied for analysing recessively inherited disease mutations, for Y-chromosomal SNPs in a population study, for an evolutionary analysis of SNPs in flycatchers and for multiplexed quantitative determination of SNP-allele frequencies in pooled DNA samples. </p><p>A robust attachment chemistry for immobilising oligonucleotides on glass surface was established, based on an evaluation of eight covalent coupling methods. A four-colour fluorescence detection strategy, which enabled a multiplexed quantitative analysis for as little as 2% of a minority allele frequency in pooled samples was generated. </p><p>Twenty-five Y-chromosomal SNPs were screened in a collection of 300 samples from five Finno-Ugric-speaking populations using minisequencing on microarrays. In these populations six distinct haplotypes were defined by the six SNPs that were polymorphic. Data from five microsatellite markers was combined with the SNP data, revealing shared Y-chromosomal haplotypes between the Finns and the Saami, indicating, in accordance with earlier data, at least two founding Y-chromosomal lineages in these populations.</p><p>Database screening and subsequent validation of 125 potential SNPs in the highly repetitive type 1 interferon genes and genes coding for proteins in the interferon-related regulatory pathways revealed 25 informative SNPs in the Finnish and Swedish populations. These SNPs were included in a panel for microarray based genotyping that should find a variety of applications in genetic studies due to the important immunoregulatory functions of the IFN family.</p><p>The significance of sex-chromosome evolution on speciation was investigated in two naturally hybridising flycatcher species (N=459) by analysing a panel of 20 SNPs using minisequencing on microarrays. A strong selection against gene flow across the species boundary of sex-linked genes was observed, as well as a sex-chromosomal influence on male plumage characteristics that have previously been shown to reinforce isolation in these birds. The results suggest a major role for sex-chromosome-mediated isolation of the two flycatcher species.</p>

During the development and lifecycle of multicellular organisms, cells have to die, and this occurs by a process called programmed cell death or PCD, which can be separated from necrosis or accidental cell death (Pennell and Lamb, 1997). Senescence is the terminal phase in the development of an organism, organ, tissue or cell, where nutrients are remobilized from the senescing parts of the plant into other parts, and the cells of the senescing organ or tissue undergo PCD if the process is not reversed in time. Leaf senescence involves cessation of photosynthesis, loss of pigments and proteins, nutrient remobilization, and degradation of the plant cells (Smart, 1994). Initiation of leaf senescence is triggered by a wide range of endogenous and environmental factors, that through unknown pathways controls the process, and regulates the expression of senescence-associated genes (SAGs) (Buchanan-Wollaston, 1997). Autumn leaf senescence in deciduous trees is regulated by photoperiod and temperature, and is an attractive experimental system for studies on senescence in perennial plants. We have studied the process of autumn senescence in a free-growing aspen (Populus tremula) by following changes in pigment, metabolite and nutrient content, photosynthesis, and cell and organelle integrity. All data were combined in a cellular timetable of autumn senescence in aspen. The senescence process started on September 11 with degradation of pigments and other leaf constituents, and once initiated, progressed steadily without being affected by the environment. Chloroplasts were rapidly degraded, and mitochondria took over energy production after chlorophyll levels had dropped by 50%. At the end of remobilization, around 29th of September, some cells were still metabolically active and had chlorophyll-containing plastids. Over 80% of nitrogen and phosphorus was remobilized, and a sudden change in the 15N of the cellular content on September 29, indicated that volatile compounds may have been released. We have also studied gene expression in autumn leaves by analysing EST sequences from two different cDNA libraries, one from autumn leaves of a field-grown aspen and the other from young, but fully expanded leaves of a green-house grown aspen. In the autumn leaf library, ESTs encoding metallothioneins, proteases, stress-related proteins and proteins involved in respiration and breakdown of macromolecules were abundant, while genes coding for photosynthetic proteins were massively downregulated. We have also identified homologues to many known senescence-associated genes in annual plants. By using Populus cDNA microarrays, we could follow changes in gene expression during the autumn over four years in the same free-growing aspen tree. We also followed changes in chlorophyll content to monitor the progression of leaf senescence. We observed a major shift in gene expression, occuring at different times the four years, that reflected a metabolic shift from photosynthetic competence to energy generation by mitochondrial respiration. Even though autumn senescence was initiated almost at the same date each year, the transcriptional timetables were different from year to year, especially for 2004, which indicates that there is no strict correlation between the transcriptional and the cellular timetables of leaf senescence.

Aortic valve (AV) disease is a major cause of cardiovascular-linked deaths globally. In addition, AV disease is a strong risk factor for additional cardiovascular events; however, the mechanism by which it initiates and progresses is not well-understood. We hypothesize that low and oscillatory flow is present on the fibrosa side of the AV and stimulates ECs to differentially regulate microRNA (miRNA) and mRNAs and influence AV disease progression. This hypothesis was tested employing both in vitro and in vivo approaches, high throughput microarray and pathway analyses, as well as a variety of functional assays. First, we isolated and characterized side-dependent, human aortic valvular endothelial cells (HAVECs). We found that HAVECs express both endothelial cell markers (VE-Cadherin, vWF, and PECAM) as well as smooth muscle cell markers (SMA and basic calponin). Using microarray analysis on sheared, side-specific HAVECs, we identified side- and shear-induced changes in miRNA and mRNA expression profiles. More specifically, we identified over 1000 shear-responsive mRNAs which showed robust validation (93% of those tested). We then used Ingenuity Pathway Analysis to identify key miRNAs, including those with many relationships to other genes (for example, thrombospondin and I&B) and those that are members of over-represented pathways and processes (for example, sulfur metabolism). Furthermore, we validated five shear-sensitive miRNAs: miR-139-3p, miR-148a, miR-187, miR-192, and miR-486-5p and one side-dependent miRNA, miR-370. To prioritize these miRNAs, we performed in silico analysis to group these key miRNAs by cellular functions related to AV disease (including tissue remodeling, inflammation, and calcification). Next, to compare our in vitro HAVEC results in vivo, we developed a method to isolate endothelial-enriched, side-dependent total RNA and identify and validate side-dependent (fibrosa vs. ventricularis) miRNAs in porcine aortic valvular endothelium. From this analysis, we discovered and validated eight side-dependent miRNAs in porcine endothelial-enriched AV RNA, including one miRNA previously identified in vitro, miR-486-5p. Lastly, we determined the relationship between important miRNAs (specifically miR-187 and miR-486-5p) and AV disease by modulating levels of miRNAs and performing functional assays. Preliminary studies overexpressing miR-187 in HAVECs have shown a reduction in inflammatory state through monocyte adhesion (p<0.05). Further, miR-486-5p overexpression reveals an increase in migration (p<0.05) and a trend for a decrease in early apoptosis, linking miR-486-5p to tissue remodeling in the AV. Better understanding of AV biology and disease in terms of gene-regulation under different hemodynamic conditions will facilitate the design of a tissue-engineered valve and provide alternative treatment options.

<p>Plants respond to changes in their local environment and, at the same time, influence the environment at a global scale. The molecular and physiological mechanisms regulating this interaction are not completely understood and this limits our capacity to predict the response of vegetation to future environmental changes. This dissertation combined tools from genomics, physiology, and ecology to examine the response of plants to environmental change. Specifically, it focused on processes affecting carbon and water exchange in forest trees because (1) trees are long-lived species that might face repeated environmental challenges; (2) relatively little information exists about the genes and the molecular mechanisms regulating structural and physiological traits in adult, long-lived woody plants; and (3) forest trees exchange a significant amount of carbon and water with the atmosphere and are therefore major players in the global carbon and water cycles. </p><p>Water flux through forests depends both on environmental conditions (e.g., soil moisture) and on the hydraulic architecture of individual trees. Resistance to xylem cavitation is an important hydraulic trait that is often associated with drought tolerance but potentially at the cost of reduced carbon uptake. The second chapter of this dissertation evaluated the variation in resistance to xylem cavitation, hydraulic conductivity, wood anatomy traits, and leaf gas exchange across 14 co-occurring temperate tree species including both angiosperms and gymnosperms. The relationship between vulnerability to cavitation (ψ₅₀) and hydraulic conductivity within specific organs (i.e. stems and roots) was not significant when considering the phylogenetic association between species. However, even after phylogenetic correction, photosynthetic carbon uptake (A) was positively correlated with both stem and root ψ₅₀, and stomatal conductance (g_s) was strongly correlated with root ψ₅₀ . These results suggest that there is a trade-off between vulnerability to cavitation and water transport capacity at the whole-plant level, and that this functional relationship reflects an adaptive response to the environment. </p><p>Forests are an important component of the global carbon cycle that can be directly impacted by a rise in atmospheric CO₂ concentration.. The third chapter of this dissertation investigated the effects of long-term exposure to elevated CO2 on the gene expression of mature, field-grown loblolly pine trees. Using cDNA microarrays, I compared the expression of 1784 pine transcripts in trees growing under ambient and those under elevated CO₂ at monthly intervals throughout a growing season. Overall, more genes were upregulated than downregulated by elevated CO₂, although the total number of genes differentially expressed varied throughout the season. The pattern of increasing number of differentially expressed genes until the peak of the growing season (July and August) followed by a decrease in that number, matched the seasonal trend of tree growth and photosynthetic response to elevated CO₂ in this species. The seasonal trend also reflected the interaction among multiple abiotic factors intrinsic to field conditions and emphasized the relevance of evaluating the role of genes in their natural environment. Genes consistently upregulated by elevated CO₂ were functionally associated with environmental sensing, cellular signaling, and carbon metabolism, in particular the degradation of carbohydrates through respiration. An increase in carbohydrates degradation is particularly relevant in the context of carbon balance of forest trees because of the potential for enhanced leaf and tree respiration leading to a reduced sink capacity for CO₂. </p><p>Loblolly pine produces several flushes of needles throughout the year each with an average lifespan of 19 months. Each year, two age classes of needles contribute to the annual carbon sequestration of the loblolly pine forest. To address the impact of leaf age on the effects of elevated CO₂ in carbon metabolism regulation, I compared the gene expression profiles from trees under ambient and elevated CO₂ conditions in two needle cohorts: one-year-old and current-year. Differential expression under elevated CO₂ was seven times more frequent in current-year than in one-year-old needles. Despite differences in magnitude, many of the patterns within specific groups of genes were similar across age classes. For instance, there was a trend for downregulation of genes involved in the light-reactions of photosynthesis and those in photorespiration in both age classes, while genes associated with dark respiration were largely upregulated by elevated CO₂ in both cases. The difference between the two cohorts was particularly evident in the group of genes related to energy production (ATP synthesis) and the group associated with carbon partitioning (sucrose and starch metabolism). Because sucrose and starch metabolism categories included many genes known to be important regulators of gene expression and plant physiological processes, this suggests that this stage of carbon metabolism might be an important control point in age-dependent foliar responses to elevated CO₂.</p><p>This dissertation examined both structural and physiological components of plant water and carbon relations (Chapter 2) across different biological scales of organization (whole-plant level in Chapter 2; gene-level response to ecosystem-level changes in Chapters 3 and 4) and reflecting adjustments at distinct temporal scales (life-span of the organism vs. evolutionary selection of traits). An integrative approach was used to advance our understanding of how plants acclimate and adapt to their environment, and to provide a mechanistic framework for predictive models of plant response to environmental change. </p> / Dissertation

Translational biomedical informatics is the application of computational methods to facilitate the translation of basic biomedical science to clinical relevance. An example of this is the multi-step process in which large-scale microarray-based discovery experiments are refined into reliable clinical tests. Unfortunately, the quality of microarray data is a major issue that must be addressed before microarrays can reach their full potential as a clinical molecular profiling tool for personalized and predictive medicine. A new methodology, titled caCORRECT, has been developed to replace or augment existing microarray processing technologies, in order to improve the translation of microarray data to clinical relevance. Results of validation studies show that caCORRECT is able to improve the mean accuracy of microarray gene expression by as much as 60%, depending on the magnitude and size of artifacts on the array surface. As part of a case study to demonstrate the widespread usefulness of caCORRECT, the entire pipeline of biomarker discovery has been executed for the clinical problem of classifying Renal Cell Carcinoma (RCC) specimens into appropriate subtypes. As a result, we have discovered and validated a novel two-gene RT-PCR assay, which has the ability to diagnose between the Clear Cell and Oncocytoma RCC subtypes with near perfect accuracy. As an extension to this work, progress has been made towards a quantitative quantum dot immunohistochemical assay, which is expected to be more clinically viable than a PCR-based test.

L'objectif des travaux est de démontrer que la lithographie douce, quelquefois baptisée " Micro-Contcat Printing (µCP)", constitue une méthode de dépôt de biomolécules présentant de nombreux avantages pour des applications de type Biopuces. Pour la fabrication de puces à ADN, nous démontrons que le µCP est une technique compétitive par rapport au dépôt robotisé de gouttes traditionnellement utilisé. Le coût est inférieur, la densité des puces est augmentée et la qualité et la définition des motifs biomoléculaires sont supérieures. Une étude complète des mécanismes d'encrage des timbres élastomères d'impression ainsi que des mécanismes de transfert par contact des molécules vers le substrat est présentée. Le rôle prépondérant des fragments de polymère non réticulés présents à la surface des timbres est mis en évidence. Dans un second volet nous étudions la possibilité de générer par la même méthode des puces à biomolécules uniques. Nous montrons comment le µCP peut être poussé jusqu'à une résolution sub-micrométrique proche de 50 nm. Deux voies technologiques originales impliquant la lithographie douce sont proposées : l'une pour peigner individuellement en des sites organisés précisément sur la surface des longs brins d'ADN pour des études de génétique, l'autre pour fixer des molécules individuelles d'ADN par une extrémité rendant possible l'étude dynamique de molécules uniques (ADN) sur de larges populations.