A mathematical model for LH release in response to continuous and pulsatile exposure of gonadotrophs to GnRH

In a previous study, a model was developed to investigate the release of luteinizing hormone (LH) from pituitary cells in response to a short pulse of gonadotropin-releasing hormone (GnRH). The model included: binding of GnRH to its receptor (R), dimerization and internalization of the hormone receptor complex, interaction with a G protein, production of inositol 1,4,5-trisphosphate (IP(3)), release of calcium from the endoplasmic reticulum (ER), entrance of calcium into the cytosol via voltage gated membrane channels, pumping of calcium out of the cytosol via membrane and ER pumps, and release of LH. The extended model, presented in this paper, also includes the following physiologically important phenomena: desensitization of calcium channels; internalization of the dimerized receptors and recycling of some of the internalized receptors; an increase in G(q )concentration near the plasma membrane in response to receptor dimerization; and basal rates of synthesis and degradation of the receptors. With suitable choices of the parameters, good agreement with a variety of experimental data of the LH release pattern in response to pulses of various durations, repetition rates, and concentrations of GnRH were obtained. The mathematical model allows us to assess the effects of internalization and desensitization on the shapes and time courses of LH response curves

Building Better Scientists through Cross-Disciplinary Collaboration in Synthetic Biology: A Report from the Genome Consortium for Active Teaching Workshop 2010

A common problem faced by primarily undergraduate institutions is the lack of funding and material support needed to adequately expose students to modern biology, including synthetic biology. To help alleviate this problem, the Genome Consortium for Active Teaching (GCAT) was founded in 2000 by Malcolm Campbell at Davidson College to bring genomics into the undergraduate curriculum. GCAT’s first tangible activity was to serve as a central clearinghouse both for the purchase and reading of DNA microarrays and for information on how to execute genomics experiments at undergraduate institutions. In response to the evolution of molecular biology in the last decade, Campbell, along with Davidson colleague Laurie Heyer and collaborators Todd Eckdahl and Jeff Poet of Missouri Western State University, organized a Howard Hughes Medical Institute (HHMI)-sponsored GCAT workshop at Davidson in July of 2010. This workshop explored how faculty from multiple disciplines could work together to bring synthetic biology to the undergraduate classroom and laboratory

Building Better Scientists through Cross-Disciplinary Collaboration in Synthetic Biology: A Report from the Genome Consortium for Active Teaching Workshop 2010

A common problem faced by primarily undergraduate institutions is the lack of funding and material support needed to adequately expose students to modern biology, including synthetic biology. To help alleviate this problem, the Genome Consortium for Active Teaching (GCAT) was founded in 2000 by Malcolm Campbell at Davidson College to bring genomics into the undergraduate curriculum. GCAT’s first tangible activity was to serve as a central clearinghouse both for the purchase and reading of DNA microarrays and for information on how to execute genomics experiments at undergraduate institutions. In response to the evolution of molecular biology in the last decade, Campbell, along with Davidson colleague Laurie Heyer and collaborators Todd Eckdahl and Jeff Poet of Missouri Western State University, organized a Howard Hughes Medical Institute (HHMI)-sponsored GCAT workshop at Davidson in July of 2010. This workshop explored how faculty from multiple disciplines could work together to bring synthetic biology to the undergraduate classroom and laboratory

Curriculum Guidelines for Undergraduate Programs in Data Science

The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science