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Full-Text Articles in Life Sciences
Bringing Toxicology Into The 21st Century: A Global Call To Action, Troy Seidle, Martin Stephens
Bringing Toxicology Into The 21st Century: A Global Call To Action, Troy Seidle, Martin Stephens
Experimentation Collection
Conventional toxicological testing methods are often decades old, costly and low-throughput, with questionable relevance to the human condition. Several of these factors have contributed to a backlog of chemicals that have been inadequately assessed for toxicity. Some authorities have responded to this challenge by implementing large-scale testing programmes. Others have concluded that a paradigm shift in toxicology is warranted. One such call came in 2007 from the United States National Research Council (NRC), which articulated a vision of ‘‘21st century toxicology” based predominantly on non-animal techniques. Potential advantages of such an approach include the capacity to examine a far greater …
Trials, Tribulations, And Trends In Tumor Modeling In Mice, Joann C. L. Schuh
Trials, Tribulations, And Trends In Tumor Modeling In Mice, Joann C. L. Schuh
Biomedicine and Animal Models in Research Collection
Selection of mouse models of cancer is often based simply on availability of a mouse strain and a known compatible tumor. Frequently this results in use of tumor models long on history but short on homology and quality control. Other factors including genetics, sex, immunological status, method and site of tumor implantation, technical competence, biological activity of the tumor, protocol sequence and timing, and selection of endpoints interact to produce outcomes in tumor models. Common reliance on survival and tumor burden data in a single mouse model often skews expectations towards high remission and cure rates; a finding seldom duplicated …
Trials, Tribulations, And Trends In Tumor Modeling In Mice, Joann C. L. Schuh
Trials, Tribulations, And Trends In Tumor Modeling In Mice, Joann C. L. Schuh
Toxicology and Animal Models in Research Collection
Selection of mouse models of cancer is often based simply on availability of a mouse strain and a known compatible tumor. Frequently this results in use of tumor models long on history but short on homology and quality control. Other factors including genetics, sex, immunological status, method and site of tumor implantation, technical competence, biological activity of the tumor, protocol sequence and timing, and selection of endpoints interact to produce outcomes in tumor models. Common reliance on survival and tumor burden data in a single mouse model often skews expectations towards high remission and cure rates; a finding seldom duplicated …