DOI: 10.57760/sciencedb.23615
title: Impact of the Mucoid Phenotype on Virulence and Biological Characteristics of Acinetobacter baumannii
title: Impact of the Mucoid Phenotype on Virulence and Biological Characteristics of Acinetobacter baumannii

description: Dataset Description:This dataset originates from the transposon mutant library of Acinetobacter baumannii (A. baumannii), and aims to explore genes related to mucosal phenotype, antibiotic resistance, oxidative stress response, and pathogenicity. The dataset includes experimental results of different mutant strains under various conditions, such as growth, antibiotic resistance, serum bactericidal activity, acid tolerance, hydrogen peroxide tolerance, and mouse infection models. A detailed description is provided below:Data Generation and Processing:Data Generation Process: The transposon mutant library of A. baumannii was constructed using the transposon insertion mutagenesis technique. Each mutant strain corresponds to a specific gene knockout or insertion (e.g., ydcR, rna, omp38, etc.). The mutants were cultured and tested under various experimental conditions, covering aspects such as antibiotic resistance, serum tolerance, and acid resistance.Data Processing Methods: Data were processed using standard laboratory analytical methods, with software such as GraphPad Prism employed for data analysis and visualization, particularly for survival curve plotting and statistical analysis.Temporal and Spatial Information:This study does not involve specific temporal or spatial resolution. All experimental data were generated under controlled laboratory conditions, with no geographic or time-related spatial data included.Tabular Data:Record Count: The dataset contains various experimental data, with the number of records varying by experimental type. For example, the antibiotic resistance testing data table contains 24 records, while the mouse infection model data table includes information on survival rates and time of death for each mutant strain.Row and Column Labels: Row labels generally correspond to the different mutant strain identifiers (e.g., ∆rna, omp38∷Kana, etc.). Column labels include experimental parameters (e.g., antibiotic resistance, serum tolerance, acid tolerance) and their corresponding values (e.g., OD values, mortality rate, survival time).Units of Measurement: The units of measurement used in the data include CFU/mL (colony-forming units per milliliter), % (percentage), hours (h), mg/mL, etc.Missing Data Statement:There are no missing data points in the dataset.Error Statement:All experiments were performed under strictly controlled laboratory conditions to ensure reproducibility and accuracy. Therefore, no experimental errors were observed.Data File Contents and Description:The data files contain records of various experimental results, such as antibiotic resistance data, hydrogen peroxide tolerance tests, and serum bactericidal assays. Each data file is accompanied by a corresponding documentation file that describes the specific content of the data, experimental methods, and interpretation of results.Data File Format and Applicable Software:The data files are typically stored in common formats such as Excel. Some files may also utilize specialized statistical analysis software (e.g., GraphPad Prism), which can be downloaded and used from the official GraphPad website.
description: Dataset Description:This dataset originates from the transposon mutant library of Acinetobacter baumannii (A. baumannii), and aims to explore genes related to mucosal phenotype, antibiotic resistance, oxidative stress response, and pathogenicity. The dataset includes experimental results of different mutant strains under various conditions, such as growth, antibiotic resistance, serum bactericidal activity, acid tolerance, hydrogen peroxide tolerance, and mouse infection models. A detailed description is provided below:Data Generation and Processing:Data Generation Process: The transposon mutant library of A. baumannii was constructed using the transposon insertion mutagenesis technique. Each mutant strain corresponds to a specific gene knockout or insertion (e.g., ydcR, rna, omp38, etc.). The mutants were cultured and tested under various experimental conditions, covering aspects such as antibiotic resistance, serum tolerance, and acid resistance.Data Processing Methods: Data were processed using standard laboratory analytical methods, with software such as GraphPad Prism employed for data analysis and visualization, particularly for survival curve plotting and statistical analysis.Temporal and Spatial Information:This study does not involve specific temporal or spatial resolution. All experimental data were generated under controlled laboratory conditions, with no geographic or time-related spatial data included.Tabular Data:Record Count: The dataset contains various experimental data, with the number of records varying by experimental type. For example, the antibiotic resistance testing data table contains 24 records, while the mouse infection model data table includes information on survival rates and time of death for each mutant strain.Row and Column Labels: Row labels generally correspond to the different mutant strain identifiers (e.g., ∆rna, omp38∷Kana, etc.). Column labels include experimental parameters (e.g., antibiotic resistance, serum tolerance, acid tolerance) and their corresponding values (e.g., OD values, mortality rate, survival time).Units of Measurement: The units of measurement used in the data include CFU/mL (colony-forming units per milliliter), % (percentage), hours (h), mg/mL, etc.Missing Data Statement:There are no missing data points in the dataset.Error Statement:All experiments were performed under strictly controlled laboratory conditions to ensure reproducibility and accuracy. Therefore, no experimental errors were observed.Data File Contents and Description:The data files contain records of various experimental results, such as antibiotic resistance data, hydrogen peroxide tolerance tests, and serum bactericidal assays. Each data file is accompanied by a corresponding documentation file that describes the specific content of the data, experimental methods, and interpretation of results.Data File Format and Applicable Software:The data files are typically stored in common formats such as Excel. Some files may also utilize specialized statistical analysis software (e.g., GraphPad Prism), which can be downloaded and used from the official GraphPad website.