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135 results for “Isolation by resistance”

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zenodo28/100

Fig. 3 in A report of six unrecorded radiation-resistant bacterial species isolated from soil in Korea in 2018

Fig. 3. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the genus Cohnella. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively. Paenibacillus polymyxa IAM 13419T is used as an outgroup.

opencc-by-4.0Dec 2018View details →
zenodo28/100

Fig. 2 in A report of six unrecorded radiation-resistant bacterial species isolated from soil in Korea in 2018

Fig. 2. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the genus Paenarthrobacter. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively. Bacillus subtilis DSM10T is used as an outgroup.

opencc-by-4.0Dec 2018View details →
dryad28/100

Extended data for: Screening for antifolate and artemisinin resistance in Plasmodium falciparum clinical isolates from three hospitals of Eritrea

<p><i>Background</i>: Antimalarial drug resistance is a major challenge hampering malaria control and elimination. <i>Plasmodium falciparum</i>, the leading causative parasite species, has developed resistance to basically all antimalarials. Continued surveillance of drug resistance using genetic markers provides important molecular data for treatment policies. This study sought to verify the genetic mechanism of resistance to sulfadoxine-pyrimethamine and assess the occurrence of point mutations associated with artemisinin resistance in <i>P. falciparum</i> clinical isolates from Eritrea.</p> <p><i>Methods</i>: Nineteen dried blood spot samples were collected from patients visiting Adi Quala, Keren and Gash Barka Hospitals, Eritrea. The patients were followed up after receiving treatment with first line artesunate-amodiaquine. Nested polymerase chain reaction and Sanger sequencing techniques were employed to genotype point mutations in the <i>P. falciparum</i> bifunctional dihydrofolate reductase-thymidylate synthase (<i>Pfdhfr</i>, PF3D7_0417200), dihydropteorate synthase (<i>Pfdhps</i>, PF3D7_0810800) and kelch 13 (<i>PfK13</i>, PF3D7_1343700) genes.</p> <p><i>Results</i>: Eight of nineteen (42%) of the dried blood spot samples were successful for PCR-amplification. Data analyses of the PCR-positive isolates revealed the following point mutations: <i>Pfdhfr </i>N51I in four isolates, C59R in one isolate, S108N in four isolates, a rare non-synonymous substitution V45A in four isolates and <i>Pfdhps</i> K540E in four isolates. No <i>PfK13</i> point mutations were reported.</p> <p><i>Conclusions</i>: <i>Pfdhfr</i> C59R and <i>Pfdhps</i> K540E point mutations are reliable markers for the sulfadoxine-pyrimethamine quintuple mutant haplotype combination. These findings highlight first reports in Eritrea, which verify the underlying genetic mechanism of antifolate resistance. Continuous monitoring of the <i>PfK13</i> marker is recommended.</p>

opencc-zeroJun 2021View details →
ClinicalTrials.gov28/100

Primary Antimicrobial Resistance Patterns of Austrian Helicobacter Pylori Clinical Isolates

ClinicalTrials.gov study NCT02925091. IPD Sharing: Not stated. Countries: 0. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Associations among antibiotic and phage resistance phenotypes in natural and clinical Escherichia coli isolates

Open the record for dataset details and reuse information.

publicOct 2018View details →
dryad28/100

Data from: Isolation by resistance across a complex coral reef seascape

Open the record for dataset details and reuse information.

publicJun 2015View details →
dryad28/100

Extended data for: Screening for antifolate and artemisinin resistance in Plasmodium falciparum clinical isolates from three hospitals of Eritrea

Open the record for dataset details and reuse information.

publicJul 2021View details →
dryad28/100

Data from: Pre-adapting parasitic phages to a pathogen leads to increased pathogen clearance and lowered resistance evolution with Pseudomonas aeruginosa cystic fibrosis bacterial isolates

Open the record for dataset details and reuse information.

publicOct 2015View details →
geo24/100

Exploring comparative and transcriptomic analyses to unveil mechanisms of resistance to azoles dependent and independent of CgPdr1 in Candida glabrata clinical isolates

GEO Series GSE166841. Nakaseomyces glabratus. 14 samples. Type: Expression profiling by array.

openGEO-OpenMay 2022View details →
geo24/100

Effects of glucose and insulin resistance on gene expression profiling in the isolated working rat heart

GEO Series GSE85811. Rattus norvegicus. 30 samples. Type: Expression profiling by array.

openGEO-OpenAug 2016View details →
geo24/100

Fungicide resistance RNA-seq on two isolates of Penicillium

GEO Series GSE145355. Penicillium expansum; Penicillium crustosum. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2020View details →
geo24/100

Gene expression changes in mouse breast cancer cells (4T1) after axitinib resistance and FACS isolation of SA-β-galHi (SM+) and SA-β-galLo (SM-) cells

GEO Series GSE226243. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2024View details →
geo24/100

effecaps-phytophthora capsici project: Phytophthora capsici Illumina RNAseq transcriptome of two isolates, one adapted to pepper, another non adapted, in two pepper accessions, one partially resistant

GEO Series GSE206447. Capsicum annuum. 24 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2022View details →
geo24/100

Close related Drug-Resistance Beijing isolates of Mycobacterium tuberculosis reveal a different transcriptomic signature in a murine disease progression model.

GEO Series GSE198877. Mycobacterium tuberculosis. 84 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2022View details →
zenodo24/100

Figure 1 from: Al-Rafyai HM, Alwash MS, Al-Khafaji NS (2021) Quinolone resistance (qnrA) gene in isolates of Escherichia coli collected from the Al-Hillah River in Babylon Province, Iraq. Pharmacia 68(1): 1-7. https://doi.org/10.3897/pharmacia.68.e57819

Figure 1 Geographic locations of the three sampling sites (S1–S3) along the Al Hillah River.

opencc-by-4.0Jan 2021View details →
dryad24/100

Data from: Climatic suitability, isolation by distance and river resistance explain genetic variation in a Brazilian whiptail lizard

Spatial patterns of genetic variation can help understand how environmental factors either permit or restrict gene flow and create opportunities for regional adaptations. Organisms from harsh environments such as the Brazilian semiarid Caatinga biome may reveal how severe climate conditions may affect patterns of genetic variation. Herein we combine information from mitochondrial DNA with physical and environmental features to study the association between different aspects of the Caatinga landscape and spatial genetic variation in the whiptail lizard Ameivula ocellifera. We investigated which of the climatic, environmental, geographical and/or historical components best predict: (1) the spatial distribution of genetic diversity, and (2) the genetic differentiation among populations. We found that genetic variation in A. ocellifera has been influenced mainly by temperature variability, which modulates connectivity among populations. Past climate conditions were important for shaping current genetic diversity, suggesting a time lag in genetic responses. Population structure in A. ocellifera was best explained by both isolation by distance and isolation by resistance (main rivers). Our findings indicate that both physical and climatic features are important for explaining the observed patterns of genetic variation across the xeric Caatinga biome.

opencc-zeroDec 2016View details →
zenodo24/100

Data from: Phenotypic antimicrobial resistance in Staphylococcus sp. and Enterococcus sp. isolated from surface water – a preliminary report

<p><span>Water as a vehicle of antimicrobial resistance (AMR) is a well-known phenomenon. Therefore, One Health inspired surveillance campaign to detect circulation of antimicrobial resistance through the ecosystem are very often based on investigation of water samples. Bacteria belonging to the genera <em>Staphylococcus</em> and <em>Enterococcus</em> are good models in One Health research because of their ubiquitous occurrence and effortless isolation techniques. In this study, we aimed to compare different types of water sources as potential spreaders of AMR staphylococci and enterococci in the ecosystem. For this reason, we took water samples from the Drava River and small waterholes in a forest area. We hypothesised that rivers could collect diverse bacteria and resistance from the catchment area, while forest waterholes gather bacterial contamination from the local wildlife, thus a less diverse resistant bacterial community characterise them. From 22 and 10 water samples, collected from waterholes and the Drava River active floodplain, we isolated 21 and 13 bacterial strains, respectively. The bacterial community of the river proved more diverse, while waterhole samples contained resistant bacteria to more antimicrobials. In waterhole samples, we detected two methicillin resistant coagulase negative Staphylococcus strains. The most conspicuous difference between the two habitats was the predominance of multidrug resistant <em>S. sciuri</em> in the forest waterholes. We could conclude that water could be a good indicator of AMR contamination of the ecosystem, and large-scale sampling could reveal the exact epidemiological role of different water habitats.</span></p>

opencc-by-4.0Nov 2024View details →
zenodo24/100

Non-freely available datasets for the following work: "Comparison of consumption data and phenotypical antimicro-bial resistance in E. coli isolates of human urinary samples and of weaning and fattening pigs from surveillance and monitor-ing systems in Germany."

<p>Human and animal databases used for the creation of the work &quot;Comparison of consumption data and phenotypical antimicrobial resistance in E. coli isolates of human urinary samples and of weaning and fattening pigs from surveillance and monitoring systems in Germany.&quot;</p>

opencc-by-4.0Dec 2021View details →
zenodo24/100

Comparative genomics analysis of the aromatic and xenobiotic degradation capacities and heavy metal resistance in seven environmentally-derived bacterial isolates.

<p>Annotations and datasets generated from the comparative genomics analyses.</p>

opencc-by-4.0Apr 2023View details →
ClinicalTrials.gov24/100

Phenotypic Profile and Molecular Mechanism of Resistance in Carbapenemase-producing Enterobacterales and Pseudomonas Aeruginosa Isolates From Brazilian Hospitals: Implications for the Introduction of

ClinicalTrials.gov study NCT05285046. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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International Brain Laboratory public data

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