Data Sheet 1_Transcriptional regulatory factor AHA_4052 regulates aminoglycoside resistance in Aeromonas hydrophila.pdf

Data Sheet 1_Transcriptional regulatory factor AHA_4052 regulates aminoglycoside resistance in Aeromonas hydrophila.pdf

Introduction<p>With the increasing identification of multidrug resistance in Aeromonas hydrophila isolated from diverse food sources, there is an urgent need to investigate its resistance mechanism. Previous studies have demonstrated that OmpR/PhoB-type response regulators (RRs) play critical...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Wanxin Li (1643641) (author)
Бусад зохиолчид:	ZhiWei Tu (22679057) (author), Huaiyao Zhang (22679060) (author), Binrong Lu (22679063) (author), Fang Liu (13271) (author), Xiangmin Lin (1643635) (author), Guibin Wang (369042) (author)
Хэвлэсэн:	2025
Нөхцлүүд:	Microbiology Aeromonas hydrophila OmpR/PhoB family aminoglycosides antibiotic resistance ChIP-PCR
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Ижил төстэй зүйлс

Table 1_Transcriptional regulatory factor AHA_4052 regulates aminoglycoside resistance in Aeromonas hydrophila.xlsx
-н: Wanxin Li (1643641)
Хэвлэсэн: (2025)

Extended Data Figure 7 – Source Data (corticocortical L2/3 synaptic transmission in Wfs1-CreERT2 mice)
-н: Jinseon Yu (22598699)
Хэвлэсэн: (2025)

Data Sheet 1_Evaluation of clinical, analytical, and genotyping performance of Hex L1 real-time PCR coupled with high-resolution melting curve analysis for fowl adenovirus outbreak investigation in Morocco.xlsx
-н: Amina Kardoudi (22686524)
Хэвлэсэн: (2025)

Image 2_Evaluation of clinical, analytical, and genotyping performance of Hex L1 real-time PCR coupled with high-resolution melting curve analysis for fowl adenovirus outbreak investigation in Morocco.png
-н: Amina Kardoudi (22686524)
Хэвлэсэн: (2025)

Table 1_Evaluation of clinical, analytical, and genotyping performance of Hex L1 real-time PCR coupled with high-resolution melting curve analysis for fowl adenovirus outbreak investigation in Morocco.docx
-н: Amina Kardoudi (22686524)
Хэвлэсэн: (2025)

Image 1_Evaluation of clinical, analytical, and genotyping performance of Hex L1 real-time PCR coupled with high-resolution melting curve analysis for fowl adenovirus outbreak investigation in Morocco.png
-н: Amina Kardoudi (22686524)
Хэвлэсэн: (2025)

Table 1_Dynamics of Vibrio ostreicida in Mytilus galloprovincialis through in vivo infections.docx
-н: Martina Leonessi (22686236)
Хэвлэсэн: (2025)

Data for: "Choose wisely: Great variation among genotypes of promising paludiculture crop <i>Phragmites australis</i>"
-н: Kerstin Haldan (13023339)
Хэвлэсэн: (2025)

Comparative matrix: summary of Ag-RDT acceptability across countries.
-н: Wezzie S. Lora (18139765)
Хэвлэсэн: (2025)

Attributes of interviews (N = 228).
-н: Wezzie S. Lora (18139765)
Хэвлэсэн: (2025)

Framework for the acceptability of technological health innovations [25].
-н: Wezzie S. Lora (18139765)
Хэвлэсэн: (2025)

Comparison of each accuracy metric (sensitivity, specificity, F1, and area under the curve for reporter operator curve (AUC ROC)) on each model. Models are defined by which assays were incorporated (i.e., HAI, IgG, and/or IgM). Bolded values represent the best performing model for the infection definition and metric of interest.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Characteristics for Kamphaeng Phet cohort studies split by source (KPS1 and KFCS) as well as across the entire dataset. Information on age, hospitalization as well as serological assay results for RT-PCR, haemagglutination inhibition assay (HAI), and enzyme immunoassay (EIA) are presented.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Acute and convalescent serological data from Thai cohorts used in this analyses, colored by true infections status and prediction of infection during model testing.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Simulated serological data using serosim and subsequent results using the full mixture model on (a) HAI, (b) IgG and (c) IgM data with additional observational noise.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

(A) Estimated intercept for titer boost when acute titers are initially low for each assay.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Comparison between simulation based estimates for boosts in GM HAI, IgG, and IgM that is experienced after an infection event as a function of acute GM HAI, IgG, and IgM titers individuals under the varying levels of observational noise.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Comparison of accuracy metrics (sensitivity, specificity, and AUC ROC) of each model defined by what subset of data was used for training and testing.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Acute and convalescent data for serological assays, colored by probability of infection found during model testing for Model 9. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent sera samples.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Acute and convalescent samples from cohort study data for serological assays, colored by whether they are predicted as infections using Model 9.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Relationship between estimated probability of a dengue virus infection (DENV) found during model testing for Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Acute and convalescent samples from cohort study data for serological assays, colored by the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection. a) Geometric mean titers of a haemagglutination inhibition assay (GM HAI) for all four serotypes of dengue virus. b) Immunoglobulin G (IgG) c) Immunoglobulin M (IgM) d) Ratio of IgM to IgG at both acute and convalescent serum samples.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Distribution of paired serological data that fall into probability buckets when using Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as having an infection.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Model comparisons for simulated data with differing amounts of observational noise.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Parameters found in Bayesian estimation framework, definition, and prior distribution.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Relative observational noise by assay and dataset.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Parameters for forward simulation using serosim [38].
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

Acute and convalescent data for serological assays, colored by probability of.
-н: Marco Hamins-Puértolas (15238661)
Хэвлэсэн: (2025)

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