Changes in Tolerance of Amphenicol and Tetracylcine Antibiotics with Stress-Responsive Transcription Factor Overexpression in E. coli
2023
- 18Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage18
- Abstract Views18
Lecture / Presentation Description
Antibiotic resistance has become a global issue due to antibiotic over prescription, indiscriminate use in livestock consumed by humans, and natural evolution of various bacterial species. Bacteria use many mechanisms to evade antibiotic action; one well-studied mechanism is the growth of biofilm, a sedentary state of bacteria surrounded by a hydrated and protective extracellular matrix. We are interested in how the overexpression of specific stress-responsive signaling pathways influence how Escherichia coli tolerate different classes of antibiotics and if the combination of pathway activation and antibiotic treatment changes biofilm formation and composition. We are studying the overexpression of the transcription factors rpoF and rpoH.154N in E. coli in combination with chloramphenicol, florfenicol, and tetracycline. We are measuring the growth of the bacteria using UV-visible spectroscopy to record the minimum inhibitory concentration (MIC) and measuring biofilm growth using a crystal violet assay. Preliminary results show that the overexpression of either rpoH.154N or rpoF enhances the MIC for chloramphenicol above 4.4 µg/mL, the commonly reported MIC for E. coli. Our next steps include narrowing down the MIC for these antibiotics under differing experimental conditions and collecting biofilm growth data.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know