Publications by authors named "Jacob D Cooper"

We tested the hypothesis that underrepresented students in active-learning classrooms experience narrower achievement gaps than underrepresented students in traditional lecturing classrooms, averaged across all science, technology, engineering, and mathematics (STEM) fields and courses. We conducted a comprehensive search for both published and unpublished studies that compared the performance of underrepresented students to their overrepresented classmates in active-learning and traditional-lecturing treatments. This search resulted in data on student examination scores from 15 studies (9,238 total students) and data on student failure rates from 26 studies (44,606 total students).

View Article and Find Full Text PDF

Epistatic interactions among genes can give rise to rugged fitness landscapes, in which multiple "peaks" of high-fitness allele combinations are separated by "valleys" of low-fitness genotypes. How populations traverse rugged fitness landscapes is a long-standing question in evolutionary biology. Sexual reproduction may affect how a population moves within a rugged fitness landscape.

View Article and Find Full Text PDF
Article Synopsis
  • Traditional mutation-selection models overlook the impact of limited spatial dispersal in natural populations, leading to different types clustering together and affecting competition dynamics.
  • Limited migration creates "competitive refugia," where certain types can thrive better due to reduced competition with unlike types, potentially increasing the frequency of less favorable mutations.
  • The study employs both a birth-death model and stochastic simulations to demonstrate how population structure influenced by limited movement affects evolutionary processes, particularly in terms of standing variation and adaptation.
View Article and Find Full Text PDF

The current model of hepatitis C virus (HCV) production involves the assembly of virions on or near the surface of lipid droplets, envelopment at the ER in association with components of VLDL synthesis, and egress via the secretory pathway. However, the cellular requirements for and a mechanistic understanding of HCV secretion are incomplete at best. We combined an RNA interference (RNAi) analysis of host factors for infectious HCV secretion with the development of live cell imaging of HCV core trafficking to gain a detailed understanding of HCV egress.

View Article and Find Full Text PDF
Article Synopsis
  • The study investigates the entry process of Hepatitis C virus (HCV) into liver cells (hepatocytes) and identifies essential cellular proteins involved in this infection.
  • Researchers utilized a targeted siRNA library to pinpoint 16 host genes related to clathrin-mediated endocytosis and other trafficking processes crucial for HCV entry and production.
  • The findings suggest that HCV interacts with cellular components during entry and highlights potential antiviral targets based on new cofactor identifications and imaging techniques for studying HCV infection.
View Article and Find Full Text PDF

Hepatitis C virus (HCV) reorganizes cellular membranes to establish sites of replication. The required host pathways and the mechanism of cellular membrane reorganization are poorly characterized. Therefore, we interrogated a customized small interfering RNA (siRNA) library that targets 140 host membrane-trafficking genes to identify genes required for both HCV subgenomic replication and infectious virus production.

View Article and Find Full Text PDF

Recently identified hepatitis C virus (HCV) isolates that are infectious in cell culture provide a genetic system to evaluate the significance of virus-host interactions for HCV replication. We have completed a systematic RNAi screen wherein siRNAs were designed that target 62 host genes encoding proteins that physically interact with HCV RNA or proteins or belong to cellular pathways thought to modulate HCV infection. This includes 10 host proteins that we identify in this study to bind HCV NS5A.

View Article and Find Full Text PDF