Thermal shifts can override the effects of transcription-targeting antibiotics
Authors/Creators
Description
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DATA & FILE OVERVIEW
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1. File List:
(Folders contained in the dataset, with brief descriptions)
01_Flow_Cytometry:
This folder contains all flow cytometry data used in the project.
The folder structure is organized according to the figures in the paper.
• 01_GyrA_GyrB_RpoB – Related to Section "2.6 Global transcription regulator levels increase during dual stresses".
• 02_Resistance_regulators – Related to Section "Thermal stresses alone induce antibiotic resistance regulators and efflux pump expression".
Note:
All flow cytometry data were acquired using an ACEA NovoCyte Flow Cytometer
(ACEA Biosciences Inc., San Diego, USA).
All raw flow cytometry data are provided as *.csv files, where each row
represents the fluorescence value (FITC-H channel) corresponding to a single cell.
02_Microscopy:
This folder contains Nikon .nd2 microscopy image files.
Each condition includes 20 different panels of raw microscopy images.
03_Spectrophotometry:
• 01_ATP – Related to Section "2.3 Temperature-dominant genes are associated with metabolic regulation".
04_Codes:
All custom-made codes used for data analysis in this study.
05_Supplementary_data:
• Feature_of_genes.xlsx – List of genes with different features considered for the random forest ML analysis.
• Shifter_genes.xlsx – List of temperature-dominant genes identified in the study.
2. Are there multiple versions of the dataset?
No.
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METHODOLOGICAL INFORMATION
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1. Description of methods used for data collection/generation:
Collection and data generation are described in the "Materials and Methods" section of the main manuscript.
2. Methods for data processing:
Data processing methods and software packages used are described in the "Materials and Methods" section of the main manuscript.
Files
01 Flow_cytometry.zip
Files
(2.6 GB)
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Additional details
Funding
- Finnish Academy of Science and Letters
- Sigrid Jusélius Foundation
- 250213