Kettering University

About: Kettering University is a education organization based out in Flint, Michigan, United States. It is known for research contribution in the topics: Cancer & RNA. The organization has 6842 authors who have published 7689 publications receiving 337503 citations. The organization is also known as: GMI Engineering & Management Institute & General Motors Institute.

Considerations in the use of nude mice for cancer research.

Abstract: Transplants of human tumors in nude mice have shown a progressive increase during the past 15 years as an experimental model for cancer research. A variety of factors, including relatively fragile health, have been identified that require appropriate experimental controls if the investigator is obtain consistent results. Not all tumors grow in nude mice. The frequency of tumor 'take' varies according to tumor origin, tumor type, inoculation site, age and conditioning of the mouse host, and a variety of other factors. Manipulation of these variables has led to successful propagation of almost every known variety of human malignancy. Following transplant, changes in characteristics have been documented, but the frequency and degree of such changes remains uncertain. Tumor growth rate probably increases after transplantation, requiring great care in the interpretation of chemotherapy experiments, but biochemical characteristics may be more stable. The nude mouse offers great interest as a model for the in vivo study of metastasis, as a number of experimental variables, mainly immunological, have been shown to affect this process. Spontaneous tumors have been shown to arise in these animals, but the controversy over their frequency relative to the thymus-bearing background strain is unresolved. We conclude that the nude mouse/tumor xenograft model, while requiring meticulous experimental controls, is nevertheless an extremely useful tool for cancer research.

Two-factor requirement for murine megakaryocyte colony formation.

Abstract: WEHI-3 cell-conditioned medium with the capacity to stimulate megakaryocyte colony formation was separated by Sephadex G-150 column chromatography. The development of colonies containing megakaryocytes was observed only when mixing experiments were performed. Individual fractions did not support megakaryocyte colony growth. The two factors in WEHI-3 CM required for megakaryocyte colony growth had apparent average molecular weights of 35,000 daltons (megakaryocyte CSF) and 100,000 daltons (megakaryocyte potentiator). The results were confirmed in serum-free conditions in which colonies were directly identified in the cultures by acetylcholinesterase staining. Two growth factors may be necessary for the genesis of megakaryocytic colonies.

Human pluripotent stem cells: an emerging model in developmental biology

Abstract: Developmental biology has long benefited from studies of classic model organisms. Recently, human pluripotent stem cells (hPSCs), including human embryonic stem cells and human induced pluripotent stem cells, have emerged as a new model system that offers unique advantages for developmental studies. Here, we discuss how studies of hPSCs can complement classic approaches using model organisms, and how hPSCs can be used to recapitulate aspects of human embryonic development ‘in a dish’. We also summarize some of the recently developed genetic tools that greatly facilitate the interrogation of gene function during hPSC differentiation. With the development of high-throughput screening technologies, hPSCs have the potential to revolutionize gene discovery in mammalian development.

Structural genomics: A pipeline for providing structures for the biologist

Abstract: Progress in understanding the organization and sequences of genes in model organisms and humans is rapidly accelerating. Although genome sequences from prokaryotes have been available for some time, only recently have the genome sequences of several eukaryotic organisms been reported, including Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, Arabidopsis thaliana, and humans (Green 2001). A logical continuation of this line of scientific inquiry is to understand the structure and function of all genes in simple and complex organisms, including the pathways leading to the organization and biochemical function of macromolecular assemblies, organelles, cells, organs, and whole life forms. Such investigations have been variously called integrative or systems biology and -omics or high-throughput biology (Ideker et al. 2001, Greenbaum et al. 2001, Vidal 2001). These studies have blossomed because of advances in technologies that allow highly parallel examination of multiple genes and gene products as well as a vision of biology that is not purely reductionist. Although a unified understanding of biological organisms is still far in the future, new high-throughput biological approaches are having a drastic impact on the scientific mainstream. One offshoot of the high-throughput approach, which directly leverages the accumulating gene sequence information, involves mining the sequence data to detect important evolutionary relationships, to identify the basic set of genes necessary for independent life, and to reveal important metabolic processes in humans and clinically relevant pathogens. Programs such as MAGPIE (www.genomes.rockefeller.edu/magpie/magpie.html) compare organisms at a whole genome level (Gaasterland and Sensen 1996; Gaasterland and Ragan 1998) and ask what functions are conferred by the new genes that have evolved in higher organisms (Gaasterland and Oprea 2001). Concurrent with computational annotations of gene structure and function, thousands of full-length ORFs from yeast and higher eukaryotes have become available because of advances in cloning and other molecular biology techniques (Walhout et al. 2000a). Structural biologists have embraced high-throughput biology by developing and implementing technologies that will enable the structures of hundreds of protein domains to be solved in a relatively short time. Although thousands of structures are deposited annually in the Protein Data Bank (PDB), most are identical or very similar in sequence to a structure previously existing in the data bank, representing structures of mutants or different ligand bound states (Brenner et al. 1997). Providing structural information for a broader range of sequences requires a focused effort on determining structure for sequences that are divergent from those already in the database. Although structure does not always elucidate function, in many instances (including the structures of two proteins reported here) the atomic structure readily provides insight into the function of a protein whose function was previously unknown. Typically, such functional annotations are based on homologies that are not recognizable at the sequence level but that are clearly revealed on inspection of the protein fold, identification of a conserved constellation of side-chain functionalities, or by the observation of cofactors associated with function (Burley et al. 1999; Shi et al. 2001; Bonanno et al. 2002).