Come-See-Me Festival Interview

In this April 21, 1978 interview, the origins and history of the Come-See-Me Festival are discussed. Included is an overview of the events for the 1978 event. This interview was conducted for inclusion into the Louise Pettus Archives and Special Collections Oral History Programhttps://digitalcommons.winthrop.edu/oralhistoryprogram/1265/thumbnail.jp

Prospectus, November 4, 1975

PC NEWS IN BRIEF: VETERAN, DID YOU KNOW?, CONCERT, X-COUNTRY NATIONALS; New road opens; FB team may bring fee increase; $50,000 in books missing; editorials; Letters To The Editor; Roots & Radicals; Committee to form; A Statement of Advertising Policy; Committee to form; ISSC Award Program Changes; Alice didn\u27t... on Wed.; Debate Team begins season; Play cast chosen; Distaff Side; Good News; Black Dance Presented; Speech Team Wins S.I.C.C.M. Tourey; New 3-Hour Course: Death and the Dying; Adult Diversion program; Champs are IM champs; Coach\u27s Corner; Basketball tryouts; Mudrock fires 170 at state golf meet; Sports Views; Burk resigns; Fast Freddy Winners; Fast Freddy\u27s football forecast; Let\u27s hear it for the Parkland Whatevers; PC women netters Spike Danville JC; Games Of November 8; The little old watchmaker at work in the space age; Dear Bonnie; PC News in brief Sign up for tourneys; College Representatives; Congratulations; Bonnie Raitt Plays; Vinyl Love; Country Bouquet; Kottke picks U of I; Foto-Funny\u27s; Reverse Discrimination?; 200 Years of navy; Classified; Club Notes: SNA meets..., Electronics Association; Far Out Planet; Skylines; Parkland Eventshttps://spark.parkland.edu/prospectus_1975/1003/thumbnail.jp

Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression

Publisher Copyright: © 2022, The Author(s).Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-related clear cell renal cancer cells (ccRCC) grown in physiological media to identify key stage-specific metabolic vulnerabilities. We show that a VHL loss-dependent reprogramming of branched-chain amino acid catabolism sustains the de novo biosynthesis of aspartate and arginine enabling tumor cells with the flexibility of partitioning the nitrogen of the amino acids depending on their needs. Importantly, we identify the epigenetic reactivation of argininosuccinate synthase (ASS1), a urea cycle enzyme suppressed in primary ccRCC, as a crucial event for metastatic renal cancer cells to acquire the capability to generate arginine, invade in vitro and metastasize in vivo. Overall, our study uncovers a mechanism of metabolic flexibility occurring during ccRCC progression, paving the way for the development of novel stage-specific therapies.Peer reviewe

Carbon Sequestration in Synechococcus Sp.: From Molecular Machines to Hierarchical Modeling

The U.S. Department of Energy recently announced the first five grants for the Genomes to Life (GTL) Program. The goal of this program is to "achieve the most far-reaching of all biological goals: a fundamental, comprehensive, and systematic understanding of life." While more information about the program can be found at the GTL website (www.doegenomestolife.org), this paper provides an overview of one of the five GTL projects funded, "Carbon Sequestration in Synechococcus Sp.: From Molecular Machines to Hierarchical Modeling." This project is a combined experimental and computational effort emphasizing developing, prototyping, and applying new computational tools and methods to ellucidate the biochemical mechanisms of the carbon sequestration of Synechococcus Sp., an abundant marine cyanobacteria known to play an important role in the global carbon cycle. Understanding, predicting, and perhaps manipulating carbon fixation in the oceans has long been a major focus of biological oceanography and has more recently been of interest to a broader audience of scientists and policy makers. It is clear that the oceanic sinks and sources of CO2 are important terms in the global environmental response to anthropogenic atmospheric inputs of CO2 and that oceanic microorganisms play a key role in this response. However, the relationship between this global phenomenon and the biochemical mechanisms of carbon fixation in these microorganisms is poorly understood. The project includes five subprojects: an experimental investigation, three computational biology efforts, and a fifth which deals with addressing computational infrastructure challenges of relevance to this project and the Genomes to Life program as a whole. Our experimental effort is designed to provide biology and data to drive the computational efforts and includes significant investment in developing new experimental methods for uncovering protein partners, characterizing protein complexes, identifying new binding domains. We will also develop and apply new data measurement and statistical methods for analyzing microarray experiments. Our computational efforts include coupling molecular simulation methods with knowledge discovery from diverse biological data sets for high-throughput discovery and characterization of protein-protein complexes and developing a set of novel capabilities for inference of regulatory pathways in microbial genomes across multiple sources of information through the integration of computational and experimental technologies. These capabilities will be applied to Synechococcus regulatory pathways to characterize their interaction map and identify component proteins in these pathways. We will also investigate methods for combining experimental and computational results with visualization and natural language tools to accelerate discovery of regulatory pathways. Furthermore, given that the ultimate goal of this effort is to develop a systems-level of understanding of how the Synechococcus genome affects carbon fixation at the global scale, we will develop and apply a set of tools for capturing the carbon fixation behavior of complex of Synechococcus at different levels of resolution. Finally, because the explosion of data being produced by high-throughput experiments requires data analysis and models which are more computationally complex, more heterogeneous, and require coupling to ever increasing amounts of experimentally obtained data in varying formats, we have also established a companion computational infrastructure to support this effort as well as the Genomes to Life program as a whole.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63164/1/153623102321112746.pd