Dendritic cells are a key population in the immune system. There are two main subsets: conventional DC (sometimes called classical DC, cDCs), which survey tissues for pathogens and activate naive T cells, and plasmacytoid dendritic cells (pDCs), which produce high amounts of IFNα in response to viral products. Both subsets begin development in the bone marrow from common dendritic progenitor (CDP), and driven by Flt3 signaling induced by the growth factor Flt3L. The CDP gives rise to a cDC committed preDC which exits the bone marrow and seeds peripheral organs to give rise to cDCs, while pDCs finish development in the bone marrow and migrate into the periphery as mature cells. pDC development is directed by E2-2, a member of the E protein family of basic helix-loop-helix transcription factors that are obligate dimers and bind an E-box sequence. E proteins are antagonized by Id proteins, and Id family member Id2 is required for cDC development. The apparently cell intrinsic choice of pDC vs. cDC fate is determined by the net activity of E proteins. Loss of E2-2 affects only pDC development, but its expression is not as specific, as E2-2 is also expressed in cDCs, macrophages and B cells. E2-2 expression in cDCs was particularly puzzling, considering the dependence of cDCs on Id2, the E2-2 antagonist. We strived to address the discrepancy between the very specific activity of E2-2 in pDC development and its broader expression. This work shows that the E2-2 locus encodes two independently regulated isoforms. E2-2Long, the more active isoform is expressed only in pDCs, and E2-2Short, the less transcriptionally active isoform, is expressed more broadly. Moreover, E2-2Long is required for optimal pDC development. Homozygous loss of just E2-2Long leads to lower pDC frequency in the spleen and phenotypically affected pDCs in the periphery. Although E2-2 is essential for pDC development, no signal has yet been identified that induces E2-2 expression to influence pDC over cDC fate. Given the essential nature of E2-2 in pDC development, we aimed to understand better how E2-2 is regulated during pDC fate specification. We examined an E2-2Long reporter and found that E2-2Long expression precedes pDC commitment in early progenitors. E2-2 is only upregulated in committed pDCs, and actively shut down in cDCs through the expression of Id2. Analysis of E2-2 in an in vitro time controlled model of dendritic cell development showed that all dendritic cells (both cDCs and pDC) go through an E2-2 expressing stage only to resolve into E2-2- cDCs and E2-2+ pDCs. Early E2-2 expression and E2-2 upregulation upon pDC commitment hinted at the presence of an E2-2 controlled cis-regulatory module. ChIP-Seq data showed only one peak of E2-2 binding located 150 kb downstream of the TCF4 gene. Heterozygous deletion of this region in the in vitro DC development model led to impaired pDC development and a fail to undergo the E2-2+ stage described above. The regulatory element is essential for E2-2 upregulation during DC development. This work describes two new mechanisms of E protein regulation during dendritic cell development: cell specific differential isoform usage and a distal cis regulatory element responsible for enforcing and upregulating E2-2 expression. These new mechanisms can lead to better understanding of how this family of broadly expressed and pleiotropic transcription factors is regulated, with implications in overall development, not only dendritic cell fate decision.

In recent years, the general public has recognized the dangers of a high fat diet and are demanding meat with lower fat content. This demand has stimulated research in the growth and regulation of adipocytes. However, despite much effort, no adipocyte-specific plasma membrane markers from any species are available as an aid to accurately distinguish adipocytes from non-adipocytes. One potential candidate for such a marker in porcine adipocytes has been identified by Killefer and Hu (1990b). Characterization of the cDNA for this protein, designated porcine adipocyte membrane protein (PAMP), is presented here. Sequence for the 910 by clone is 80% similar to an internal region of a rat prostaglandin F[subscript 2��] receptor regulator protein (FPRP) described by Orlickey (1996). Western blot analysis suggests that the pig protein is a homotetramer held together with disulfide bonds which form very close to the transmembrane region making the tetramer extremely difficult to reduce to monomeric units. Oligonucleotide primers were designed to amplify a genomic fragment by the polymerase chain reaction (PCR) and for a reverse transcriptase PCR (RT-PCR) assay to study the expression of the mRNA. A 2114 bp genomic clone revealed one intron in the coding region. A serum-free primary cell culture system was used to study the expression of the mRNA. Although message was detected every day over a ten day period, it appeared to peak between 6 to 8 days after plating. The PAMP protein is clearly of the same family as the rat FPRP but its size and conformation are quite different so it is not clear what function it performs in porcine adipocytes. Further experiments should focus on attaining full length cDNA's, confirming the molecular conformation of the protein, and assessing its function in a serum-free primary cell culture system. / Graduation date: 1997

Wan Tai Fung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 102-111). / Abstracts in English and Chinese. / Thesis committee --- p.i / Statement --- p.ii / Abstract --- p.iii / Chinese Abstract --- p.v / Acknowledgements --- p.vii / General Abbreviations --- p.ix / Abbreviations of Chemicals --- p.xi / Table of Contents --- p.xii / List of Figures --- p.xvi / List of Tables --- p.xvi / Chapter 1 --- Literature Review --- p.1 / Chapter 1.1 --- Soybeans --- p.1 / Chapter 1.1.1 --- Nutrient composition of soybean --- p.1 / Chapter 1.1.2 --- Nitrogen fixation and assimilation in soybean --- p.3 / Chapter 1.1.3 --- The role in nitrogen allocation and controlling the nitrogen sink-source relationship of asparagine --- p.3 / Chapter 1.1.4 --- Characterization of asparagine synthetase --- p.8 / Chapter 1.1.4.1 --- Biochemistry and molecular background of plant asparagine synthetase --- p.8 / Chapter 1.1.4.2 --- Asparagine synthetase in Arabadopsis thaliana --- p.9 / Chapter 1.1.4.3 --- "Asparagine synthesis in soybean, Glycine max" --- p.10 / Chapter 1.1.4.4 --- "Asparagine synthetase in rice, Oryza sativa" --- p.11 / Chapter 1.2 --- Seed protein quality and quantity improvement --- p.13 / Chapter 1.2.1 --- Nutrition composition of rice --- p.13 / Chapter 1.2.2 --- Molecular approaches for improving seed storage protein quality --- p.14 / Chapter 1.2.2.1 --- Protein sequence modification --- p.14 / Chapter 1.2.2.2 --- Synthetic genes --- p.16 / Chapter 1.2.2.3 --- Overexpression of homologous genes --- p.17 / Chapter 1.2.2.4 --- Transfer and expression of heterologous genes --- p.18 / Chapter 1.2.2.5 --- "Manipulation of pathway synthesizing essential amino acids, aspartate family amino acid" --- p.19 / Chapter 1.2.3 --- Research in improving rice seed protein quality and quantity --- p.22 / Chapter 1.3 --- Hypothesis and objective of this study --- p.23 / Chapter 2 --- Materials and Methods --- p.25 / Chapter 2.1 --- Materials --- p.25 / Chapter 2.1.1 --- Plant materials --- p.25 / Chapter 2.1.2 --- Bacterial strains and vectors --- p.26 / Chapter 2.1.3 --- Growth conditions for soybean --- p.26 / Chapter 2.1.4 --- Chemicals and reagents --- p.26 / Chapter 2.1.5 --- "Buffer, solution and gel" --- p.26 / Chapter 2.1.6 --- Commercial kits --- p.27 / Chapter 2.1.7 --- Equipments and facilities used --- p.27 / Chapter 2.1.8 --- Primers --- p.27 / Chapter 2.2 --- Methods --- p.28 / Chapter 2.2.1 --- Growth condition for plant materials --- p.28 / Chapter 2.2.1.1 --- General conditions for planting soybean --- p.28 / Chapter 2.2.1.2 --- Soybean seedlings for gene expression profile analysis --- p.28 / Chapter 2.2.1.3 --- Mature soybean for gene expression profile analysis --- p.29 / Chapter 2.2.1.4 --- Mature soybean for cloning of AS I and AS2 full length cDNA --- p.30 / Chapter 2.2.1.5 --- Mature soybean seed for amino acid profile analysis --- p.30 / Chapter 2.2.1.6 --- General conditions for planting transgenic rice in CUHK --- p.30 / Chapter 2.2.1.7 --- Transgenic rice seedling for PCR screening --- p.31 / Chapter 2.2.1.8 --- Transgenic rice for functional test and seed for biochemical analysis --- p.31 / Chapter 2.2.2 --- Molecular techniques --- p.32 / Chapter 2.2.2.1 --- Total RNA extraction --- p.32 / Chapter 2.2.2.2 --- Denaturing gel electrophoresis for RNA --- p.33 / Chapter 2.2.2.3 --- Northern blot analysis --- p.33 / Chapter 2.2.2.3.1 --- Chemiluminescent detection --- p.33 / Chapter 2.2.2.3.2 --- Film development --- p.34 / Chapter 2.2.2.4 --- Preparation of single-stranded DIG-labeled PCR probes --- p.34 / Chapter 2.2.2.4.1 --- Primer design for the PCR probes of --- p.34 / Chapter 2.2.2.4.2 --- Amplification of AS1 and AS2 internal PCR fragments --- p.34 / Chapter 2.2.2.4.3 --- Quantitation of purified AS1 and AS2 PCR fragments --- p.35 / Chapter 2.2.2.4.4 --- Biased PCR to make single-stranded DNA probes --- p.35 / Chapter 2.2.2.4.5 --- Probe quantitation --- p.36 / Chapter 2.2.2.5 --- Probe specificity test --- p.37 / Chapter 2.2.2.6 --- Cloning of full length cDNA --- p.37 / Chapter 2.2.2.6.1 --- First strand cDNA synthesis from RNA of high protein content soybean leaf --- p.37 / Chapter 2.2.2.6.2 --- PCR for amplification of AS1 and AS2 full length cDNA --- p.38 / Chapter 2.2.2.6.3 --- Preparation of pBluescript II KS(+) T-vector for cloning --- p.38 / Chapter 2.2.2.6.4 --- Ligation of DNA inserts into pBluescript II KS(+) T-vector --- p.39 / Chapter 2.2.2.6.5 --- Preparation of E. coli DH5α CaCl2-mediaed competent cells --- p.39 / Chapter 2.2.2.6.6 --- Transformation of E. coli DH5α competent cell --- p.40 / Chapter 2.2.2.7 --- Screening of recombinant plasmids --- p.40 / Chapter 2.2.2.7.1 --- Isolation of recombinant plasimid DNA from bacterial cells --- p.41 / Chapter 2.2.2.7.2 --- PCR screening on recombinant plasmids --- p.41 / Chapter 2.2.2.7.3 --- DNA gel electrophoresis --- p.41 / Chapter 2.2.2.8 --- Sequencing and homology search --- p.42 / Chapter 2.2.2.9 --- Functional test using transgenic plant --- p.43 / Chapter 2.2.2.9.1 --- Preparation of chimeric gene constructs and recombinant plasmids --- p.43 / Chapter 2.2.2.9.2 --- Agrobacterium mediated transformation into rice calli to regenerate transgenic AS1/ AS2 rice --- p.44 / Chapter 2.2.2.10 --- PCR Screenig of homozygous and heterozygous transgenic plants --- p.44 / Chapter 2.2.2.10.1 --- Isolation of genomic DNA from transgenic plants --- p.45 / Chapter 2.2.2.10.2 --- PCR screening using genomic DNA --- p.46 / Chapter 2.2.2.11 --- Quantitative PCR analysis on transgenic plants --- p.48 / Chapter 2.2.3 --- Biochemical Analysis --- p.49 / Chapter 2.2.3.1 --- Quantitative amino acid analysis in mature soybean seeds --- p.49 / Chapter 2.2.3.2 --- Quantitative amino acid analysis in mature transgenic rice grain --- p.49 / Chapter 3 --- Results --- p.50 / Chapter 3.1 --- Amino acid analysis on mature soybean seeds --- p.50 / Chapter 3.2 --- Expression pattern analysis of AS genes by Northern Blot analysis --- p.54 / Chapter 3.2.1 --- Making of single strand digoxigenin (DIG)-labeled probe --- p.54 / Chapter 3.2.2 --- Probe specificity --- p.57 / Chapter 3.2.3 --- AS expression level under light/dark treatments by Northern Blot analysis --- p.58 / Chapter 3.2.4 --- AS expression level in young seedlings by Northern Blot analysis --- p.62 / Chapter 3.2.5 --- AS expression level in podding soybean by Northern Blot analysis --- p.64 / Chapter 3.3 --- Cloning of AS genes from high protein content soybeans --- p.66 / Chapter 3.3.1 --- "PCR amplification of AS1 and AS2 full length cDNA from the first-strand cDNA of high portein content cultivar soybean, YuDoul2" --- p.66 / Chapter 3.3.2 --- Nucleotide sequences analysis of AS1 and AS2 full-length cDNA clones --- p.68 / Chapter 3.4 --- Construction of AS1 and AS2 transgenic rice --- p.75 / Chapter 3.4.1 --- Construction of AS1 and AS2 constructs --- p.75 / Chapter 3.4.2 --- Transformation of chimeric gene constructs into Agrobacterium tumefaciens --- p.75 / Chapter 3.4.3 --- Agrobacterium mediated transformation into Oryza sativa calli to regenerate transgenic rice --- p.76 / Chapter 3.4.4 --- PCR screening of transgene from transgenic AS1 and AS2 rice --- p.76 / Chapter 3.4.5 --- Quantitative PCR analysis of the transgene expression --- p.81 / Chapter 3.4.6 --- Quantitative amino acid analysis in mature transgenic rice grain --- p.83 / Chapter 4 --- Discussion --- p.89 / Chapter 4.1 --- The role of asparagine and asparagine synthetase in nitrogen assimilation and sink-source relationship in soybean --- p.89 / Chapter 4.2 --- Comparative study of AS between different high seed protein content crops --- p.92 / Chapter 4.3 --- The attempt to find out the reason for the strong AS1 expression detected in high protein soybean cultivars --- p.92 / Chapter 4.4 --- Other factors affecting seed protein contents --- p.93 / Chapter 4.5 --- Rice seed quality improvement by nitrogen assimilation enhancement --- p.94 / Chapter 4.6 --- Comparative study of amino acid profile and seed total protein in other transgenic rice --- p.95 / Chapter 4.7 --- Possible reason of higher seed protein content in AS2 transgenic rice --- p.96 / Chapter 4.8 --- Selectable marker --- p.97 / Chapter 5 --- Conclusion and Prespectives --- p.99 / Chapter 6 --- References --- p.102 / Chapter 7 --- Appendix --- p.112 / Appendix I: Major chemicals and reagents used in this research --- p.112 / "Appendix II: Major buffer, solution and gel used in this research" --- p.114 / Appendix III: Commercial kits used in this research --- p.117 / Appendix IV: Major equipments and facilities used in this research --- p.118 / Appendix V: Primer list --- p.119

The study of protein synthesis, and the study of gene expression in general, has accelerated in recent years. Following the advent of next-generation RNA sequencing, powerful library preparation paradigms were developed to capture regulatory activity on a genome-wide scale. In particular, ribosome profiling has emerged as a widely-used measurement of translation. In this method, the state of ribosome association across the transcriptome is obtained by isolation and sequencing of the regions of RNA bound by ribosomes, revealing a snapshot of ribosome positions from which gene-specific densities can be calculated. In combination with RNA sequencing for a measurement of baseline transcription in the same samples, ribosome profiling offers a metric of “translation efficiency”, or TE, corresponding to the average ribosome load per given transcript. Ribosome profiling has advanced the study of translation considerably. However, low throughput in the generation of ribosome profiling and RNA sequencing libraries limits the scale of the experiments that can be performed, while issues in the interpretation of aligned ribosome-protected footprints complicate their analysis, especially in systems of complex regulation. The analysis of such regulatory systems would be greatly aided by a high-throughput sequencing method that can capture translational regulation, but current methods of measuring genome-wide translation are inherently limited in scale. This thesis addresses the key issues presented above in separate chapters. Chapter 2 discusses the analysis of elongation and initiation from ribosome profiling and RNA sequencing data in a mouse model of Fragile X Syndrome. In this chapter, several methods of measuring and modeling variability in the distribution of ribosomes along a coding sequence are used alongside analyses of differential RPF and RNA abundances and their ratio, RFApm, which we distinguish from TE to emphasize its dependence on factors other than initiation rate. The chapter summarizes current information regarding the observed effects of FMRP, and proposes a model congruent with these observations and more-recently published studies. Chapters 3 and 4 present approaches to modeling or inferring translational regulatory networks, either by a novel library preparation paradigm or computational inference from publicly-available data. Chapter 3 presents riboPLATE-seq, a high-throughput RNA-seq library construction method based on the existing PLATE-seq method. The method recapitulates significant findings from ribosome profiling and RNA sequencing at a fraction of the per-sample cost, with further advantages in scalability, and could be implemented in a large-scale screen of translational regulators to create a network of their specific targets. Chapter 4 presents an approach to inferring translational regulation from integrative analysis of public ribosome profiling and RNA sequencing data, tailoring the powerful inference engine ARACNe to measure translational interactions. This yields a comprehensive network of translational regulation, assigning target genes to the set of RNA-binding proteins.