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At least 649 records · Page 36Linked to original sources
PubMed2000

Bacteriophage lambda display of complex cDNA libraries: a new approach to functional genomics.

We describe the construction and characterization of two lambda surface displayed cDNA expression libraries derived from human brain and mouse embryo. cDNA inserts were obtained by tagged random-priming elongation of commercially available cDNA libraries and cloned into a novel lambda vector at the 3' end of the D capsid protein gene, which produced highly complex repertoires (1x10(8) and 2x10(7) phage). These libraries were affinity selected with a monoclonal antibody against the neural specific factor GAP-43 and with polyclonal antibodies that recognize the EMX1 and EMX2 homeoproteins. In both cases rapid identification of specific clones was achieved, which demonstrates the great potential of the lambda display system for generating affinity selectable cDNA libraries from complex genomes.

Amino Acid Sequence↗
PubMed2007

Toward whole cell modeling and simulation: comprehensive functional genomics through the constraint-based approach.

The increasing availability of various system-level, or so-called 'omics', datasets, in concert with existing data from the primary research literature, is facilitating the development of genome-scale metabolic models for many organisms. By incorporating the metabolic reaction stoichiometry as well as other physicochemical properties into systemic network reconstructions, these models account for the constraints that restrict an organism's phenotypic behavior. Accordingly, unlike many contemporary modeling strategies, this constraint-based modeling approach does not attempt to predict network behavior exactly; rather, it seeks to clearly distinguish those network states that a system can achieve from those that it cannot. A variety of analytical tools have been designed and developed to probe these models, thus enabling studies that investigate the metabolic capabilities of a number of organisms, that generate and test experimental hypotheses, and that predict accurately metabolic phenotypes and evolutionary outcomes. This chapter introduces the concepts that underlie the constraint-based modeling approach, and describes several of its applications with an emphasis on those potentially relevant to the drug development field. In addition, while this chapter focuses on the primary application of the constraint-based approach to date, namely in modeling metabolic networks, the latter sections of the chapter discuss its relatively recent application to modeling other cellular systems. Finally, the chapter concludes with an assessment of future directions focusing on the efforts that will be required to utilize the constraint-based approach in generating a holistic model of a viable organism.

Animals↗
PubMed1996

Repeated sequences from the Arabidopsis thaliana genome function as enhancers in transgenic tobacco.

Sixteen segments of Arabidopsis thaliana DNA that function as enhancers in transgenic tobacco plants were isolated using the pROA97 enhancer cloning vehicle and library transformation of Nicotiana tabacum. The sequences were compared for AT content, homology, repeated motifs, and expression pattern in transgenic N. tabacum. The sequences were average with respect to the AT content of A. thaliana DNA. They could be placed into seven homology groups. Five of the sequences are single-copy sequences. The remaining eleven sequences represent two homology groups. Homology Group I contains seven sequences with minor differences. Homology Group II contains four sequences with minor differences. Two repeated motifs were identified (5'-CCTCT-3' and 5'-AAGGAT-3'). Both repeated motifs are found in other plant enhancers, and in the promoter region of the cauliflower mosaic virus 35S gene. In the 35S gene TATA region, the motifs can form two alternative stem-loop structures. The TATATAA sequence is located in the loop region of both stem-loop structures.

Arabidopsis↗
PubMed2000

Laser capture microdissection: beyond functional genomics to proteomics.

Proteomics will drive biology and medicine beyond genomics, and can have a profound impact on molecular diagnostics. The posttranslational modifications of cellular proteins that govern physiology and become deranged in disease cannot be accurately portrayed by gene expression alone. Consequently, new technology is being developed to discover, and quantitatively monitor, proteomic changes that are associated with disease etiology and progression. In the past, proteomic technologies were restricted to tumor cell lines or homogenized bulk tissue specimens. This source material may not accurately reflect molecular events taking place in the specific cells of the tissue itself. This article describes a completely new class of proteomic-based approaches aimed at the identification and investigation of protein markers in the actual histologically defined cell populations that are immersed in heterogeneous diseased tissue. It is envisioned that these investigations will eventually lead to novel diagnostic, prognostic, or therapeutic markers that can be applied to monitor therapeutic toxicity or efficacy.

DNA, Complementary↗