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Investigating how streptococcus responds to their environment: bringing together current research, a case study and laboratory investigation.

ABSTRACT: Understanding the link between course work and unanswered authentic research questions being explored in the research lab is an important goal in undergraduate science teaching. The activity presented here focuses on current research regarding the virulence characteristics of Streptococcus pyogenes particularly targeting the control of sugar uptake regulated via catabolite repression. Students were challenged to formulate a research question and use higher-order thinking skills to analyze data, work collaboratively to solve problems, and pose and test a hypothesis in the laboratory setting. The activity employed an interrupted case study approach using both online and face-to-face settings. The case story and problems were distributed online and were followed by in-class discussions and lab work. Aspects of the activity required independent thinking, as well as collaborative work. Student learning gains were demonstrated via comparison of pre- and postscores on the Host Pathogen Interactions (HPI) concept inventory, results from an end of semester Student Perception Survey, and from analysis of students' work.

SUBMITTER: Quimby BB

PROVIDER: S-EPMC3577257 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Investigating how streptococcus responds to their environment: bringing together current research, a case study and laboratory investigation.

Quimby B Boots BB McIver Kevin S KS Marbach-Ad Gili G Smith Ann C AC

Journal of microbiology & biology education 20111201 2

Understanding the link between course work and unanswered authentic research questions being explored in the research lab is an important goal in undergraduate science teaching. The activity presented here focuses on current research regarding the virulence characteristics of Streptococcus pyogenes particularly targeting the control of sugar uptake regulated via catabolite repression. Students were challenged to formulate a research question and use higher-order thinking skills to analyze data, ...[more]

PMID: 23653762

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Project description:BackgroundDecades of research to understand the impacts of various types of environmental occupational and medical stressors on human health have produced a vast amount of data across many scientific disciplines. Organizing these data in a meaningful way to support risk assessment has been a significant challenge. To address this and other challenges in modernizing chemical health risk assessment, the Organisation for Economic Cooperation and Development (OECD) formalized the adverse outcome pathway (AOP) framework, an approach to consolidate knowledge into measurable key events (KEs) at various levels of biological organisation causally linked to disease based on the weight of scientific evidence (http://oe.cd/aops). Currently, AOPs have been considered predominantly in chemical safety but are relevant to radiation. In this context, the Nuclear Energy Agency's (NEA's) High-Level Group on Low Dose Research (HLG-LDR) is working to improve research co-ordination, including radiological research with chemical research, identify synergies between the fields and to avoid duplication of efforts and resource investments. To this end, a virtual workshop was held on 7 and 8 October 2020 with experts from the OECD AOP Programme together with the radiation and chemical research/regulation communities. The workshop was a coordinated effort of Health Canada, the Electric Power Research Institute (EPRI), and the Nuclear Energy Agency (NEA). The AOP approach was discussed including key issues to fully embrace its value and catalyze implementation in areas of radiation risk assessment.ConclusionsA joint chemical and radiological expert group was proposed as a means to encourage cooperation between risk assessors and an initial vision was discussed on a path forward. A global survey was suggested as a way to identify priority health outcomes of regulatory interest for AOP development. Multidisciplinary teams are needed to address the challenge of producing the appropriate data for risk assessments. Data management and machine learning tools were highlighted as a way to progress from weight of evidence to computational causal inference.

Dataset Information

Investigating how streptococcus responds to their environment: bringing together current research, a case study and laboratory investigation.

Publications

Investigating how streptococcus responds to their environment: bringing together current research, a case study and laboratory investigation.

Similar Datasets

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