Ontology highlight
ABSTRACT:
PROVIDER: PRJNA870156 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21391052_1.fastq.gz | Fastqsanger.gz | |||
| SRR21391052_2.fastq.gz | Fastqsanger.gz | |||
| SRR21391053_1.fastq.gz | Fastqsanger.gz | |||
| SRR21391053_2.fastq.gz | Fastqsanger.gz | |||
| SRR21391054.fastq.gz | Fastqsanger.gz |
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Project description:Antimicrobial resistance (AMR) is a pandemic spread across multiple infectious disease microbes. To provide a new tool to study AMR, here we develop a Klebsiella pneumoniae cell-free gene expression (CFE) system. To characterise the system, we use proteomics to compare this to a Escherichia coli MG1655 CFE model, to identify relative differences and unique proteins. Then we use this native CFE system to profile antimicrobial activity in comparison to whole cell inhibition, to reveal host differences in IC50/MIC50 values. Finally, we use the CFE tool to study AMR variants, at a proof-of-concept level. As an exemplar, we show that RpoB H526L confers a 58-fold increase in CFE resistance to rifampicin – a common genotype frequently observed in rifampicin-resistant Mycobacterium tuberculosis clinical isolates. In summary, we provide a cell-free synthetic biology strategy for the profiling of antibiotic sensitivity and resistance from K. pneumoniae. While initial processing requires Biosafety Level 2, the final extracts are non-living and suitable for long-term storage, and potentially transfer to a Biosafety Level 1 lab. This bioassay has potential uses for early-stage host-specific antimicrobial development and the testing of AMR variants for structure-activity relationship studies. The data reposited is label-free high-resolution LC-MS proteomics data performed to characterise the proteins in cell-free extract of K. pneumoniae ATCC 13882 and compare to that of E. coli MG1655 to identify common and unique proteins. We also characterised the proteins of K. pneumoniae clinically resistant isolates ST258-T1b and NJST258-1, and compared them to K. pneumoniae ATCC 13882 laboratory strain.
2023-11-29 | PXD046864 | Pride
Project description:Antimicrobial resistance (AMR) is a pandemic spread across multiple infectious disease microbes. To provide a new tool to study AMR, here we develop a Klebsiella pneumoniae cell-free gene expression (CFE) system. To characterise the system, we use proteomics to compare this to a Escherichia coli MG1655 CFE model, to identify relative differences and unique proteins. Then we use this native CFE system to profile antimicrobial activity in comparison to whole cell inhibition, to reveal host differences in IC50/MIC50 values. Finally, we use the CFE tool to study AMR variants, at a proof-of-concept level. As an exemplar, we show that RpoB H526L confers a 58-fold increase in CFE resistance to rifampicin – a common genotype frequently observed in rifampicin-resistant Mycobacterium tuberculosis clinical isolates. In summary, we provide a cell-free synthetic biology strategy for the profiling of antibiotic sensitivity and resistance from K. pneumoniae. While initial processing requires Biosafety Level 2, the final extracts are non-living and suitable for long-term storage, and potentially transfer to a Biosafety Level 1 lab. This bioassay has potential uses for early-stage host-specific antimicrobial development and the testing of AMR variants for structure-activity relationship studies. The data reposited is label-free high-resolution LC-MS proteomics data performed to characterise the proteins in cell-free extract of K. pneumoniae ATCC 13882 and compare to that of E. coli MG1655 to identify common and unique proteins. We also characterised the proteins of K. pneumoniae clinically resistant isolates ST258-T1b and NJST258-1, and compared them to K. pneumoniae ATCC 13882 laboratory strain.
2023-11-29 | PXD046861 | Pride
Project description:Antimicrobial resistance (AMR) arises from complex genetic and regulatory changes, including single mutations, gene acquisitions or cumulative effects. Advancements in genomics and proteomics facilitate more comprehensive understanding of the mechanisms behind antimicrobial resistance. In this study, 74 clinically obtained Klebsiella pneumoniae isolates with increased meropenem and/or imipenem MICs were characterized by broth microdilution and PCR to check for the presence of carbapenemase genes. Subsequently, a representative subset of 15 isolates was selected for whole genome sequencing (WGS) by Illumina and Nanopore sequencing, and proteomic analysis by liquid chromatography-mass spectrometry (LC-MS/MS) to investigate the mechanisms underlying the differences in carbapenem susceptibility of Klebsiella pneumoniae isolates. Identical techniques were applied to characterize 4 mutants obtained after sequential meropenem exposure. We demonstrated that in clinically obtained isolates, increased copy numbers of blaOXA-48 containing plasmids, combined with OmpK36 loss, contributed to high carbapenem MICs without involvement of OmpK35 or other porins or efflux systems. In the meropenem exposed mutants, increased copy numbers of blaCTX-M-15 or blaOXA-48 containing plasmids, combined with OmpK36 loss was demonstrated. The OmpK36 loss resulted from the insertion of IS1 transposable elements or partial deletion of the ompK36 gene. Additionally, we identified two mutations, C59A and C58A, in the DNA coding the copA antisense RNA of IncFII plasmids and multiple mutations of an IncR plasmid, associated with increased plasmid copy numbers. This study demonstrates that by combining WGS and LC-MS/MS, the effect of genomic changes on protein expression related to antibiotic resistance and the mechanisms behind antibiotic resistance can be elucidated.
2025-06-06 | PXD061983 | Pride
Project description:We compared the transcriptional profiles of 12 E. coli O157:H7 isolates grown to stationary phase in LB broth. These isolates possess the same two enzyme PFGE profile and are related temporally or geographically to the above outbreak. These E. coli O157:H7 isolates included three clinical isolates, five isolates from separate bags of spinach, and single isolates from pasture soil, river water, cow feces, and a feral pig.
2011-11-01 | GSE33131 | GEO
Project description:Background: Antimicrobial resistance is generally studied using a combination of growth inhibition measurements, sometimes in combination with DNA detection methods. However, the actual proteins that cause resistance such as enzymes, efflux pumps and a lack of porins cannot be detected by these methods. Improvements in liquid chromatography (LC) and mass spectrometry (MS) enabled easier and more comprehensive proteome analysis. In the current study, these three methods are combined into a multi-omics approach to analyze resistance against frequently used antibiotics within the beta-lactam, aminoglycoside and fluoroquinolone group in E. coli and K. pneumoniae. Objectives: We aimed to analyze which currently known antimicrobial resistance genes are detected at the protein level using liquid chromatography-mass spectrometry (LC-MS/MS) and to assess whether these could explain beta-lactam, aminoglycoside, and fluoroquinolone resistance in the studied isolates. Furthermore, we aimed to identify significant protein to resistance correlations which have not yet been described and to correlate the abundance of different porins to resistance. Methods: Whole genome sequencing, high-resolution LC-MS/MS and antimicrobial susceptibility testing by broth microdilution were performed for 187 clinical E. coli and K. pneumoniae isolates. Resistance genes and proteins were identified using the Comprehensive Antibiotic Resistance Database (CARD). All proteins were annotated using the NCBI RefSeq database and Prokka. Results & Conclusion: Proteins of small spectrum beta-lactamases, extended spectrum beta-lactamases, AmpC beta-lactamases, carbapenemases, and proteins of 16S ribosomal RNA methyltransferases and aminoglycoside acetyltransferases can be detected in E. coli and K. pneumoniae by LC-MS/MS. The detected mechanisms could explain phenotypic resistance in most of the studied isolates. Differences in the abundance and the primary structure of other proteins such as porins also correlated with resistance. LC-MS/MS is a different and complementary method which can be used to characterize antimicrobial resistance in detail as not only the primary resistance causing mechanisms are detected, but also secondary enhancing resistance mechanisms.
2021-07-09 | PXD023736 | Pride
Project description:Background: Antimicrobial resistance is generally studied using a combination of growth inhibition measurements, sometimes in combination with DNA detection methods. However, the actual proteins that cause resistance such as enzymes, efflux pumps and a lack of porins cannot be detected by these methods. Improvements in liquid chromatography (LC) and mass spectrometry (MS) enabled easier and more comprehensive proteome analysis. In the current study, these three methods are combined into a multi-omics approach to analyze resistance against frequently used antibiotics within the beta-lactam, aminoglycoside and fluoroquinolone group in E. coli and K. pneumoniae. Objectives: We aimed to analyze which currently known antimicrobial resistance genes are detected at the protein level using liquid chromatography-mass spectrometry (LC-MS/MS) and to assess whether these could explain beta-lactam, aminoglycoside, and fluoroquinolone resistance in the studied isolates. Furthermore, we aimed to identify significant protein to resistance correlations which have not yet been described and to correlate the abundance of different porins to resistance. Methods: Whole genome sequencing, high-resolution LC-MS/MS and antimicrobial susceptibility testing by broth microdilution were performed for 187 clinical E. coli and K. pneumoniae isolates. Resistance genes and proteins were identified using the Comprehensive Antibiotic Resistance Database (CARD). All proteins were annotated using the NCBI RefSeq database and Prokka. Results & Conclusion: Proteins of small spectrum beta-lactamases, extended spectrum beta-lactamases, AmpC beta-lactamases, carbapenemases, and proteins of 16S ribosomal RNA methyltransferases and aminoglycoside acetyltransferases can be detected in E. coli and K. pneumoniae by LC-MS/MS. The detected mechanisms could explain phenotypic resistance in most of the studied isolates. Differences in the abundance and the primary structure of other proteins such as porins also correlated with resistance. LC-MS/MS is a different and complementary method which can be used to characterize antimicrobial resistance in detail as not only the primary resistance causing mechanisms are detected, but also secondary enhancing resistance mechanisms.
2021-07-09 | PXD023739 | Pride
Project description:We compared the transcriptional profiles of 12 E. coli O157:H7 isolates grown to stationary phase in LB broth. These isolates possess the same two enzyme PFGE profile and are related temporally or geographically to the above outbreak. These E. coli O157:H7 isolates included three clinical isolates, five isolates from separate bags of spinach, and single isolates from pasture soil, river water, cow feces, and a feral pig. Twelve condition experiment, 12 E. coli O157:H7 isolates. Two biological replicates for isolates RM6067, RM6069, RM6101, RM6102, RM6103, RM6149, RM6655, RM6658, RM9992, RM9997, RM9998 and RM10002 independently grown to stationary phase in LB at 37°C and harvested. One replicate per array. A type 2 gene expression experimental design was used, with fluorescently labeled genomic DNA as a reference channel in each experiment as described by Lucchini, S., et al. 2005. Infect Immun 73:88-102.
2011-11-01 | E-GEOD-33131 | biostudies-arrayexpress
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc
Project description:Antibiotic resistance (AMR) in aquatic bacteria affecting aquaculture has been a growing concern given the potential for mixing of bacterial populations in the aquatic environment and exposure to different pharmaceuticals from drugs used in aquaculture, as well as wastewater effluent and agricultural run-off. To better understand the mechanism for AMR in a common aquatic fish pathogen exposed to low dose antibiotics we monitored the genetic changes, as well as gene expression, in Aeromonas hydrophila as the bacteria was exposed to incremental doses of oxytetracycline (OTC), a commonly used drug in aquaculture. We were able to render all three isolates of our original A. hydrophila resistant to therapeutic levels of OTC (i.e. ≥100ppm). The relatively quick phenotypic adaptation (often less than 3 days) to different OTC concentrations was very similar across our replicates. Our whole genome sequencing data and transcriptome results suggested several genes underwent point mutations across all replicates. Further differential gene expression was observed and likely impacted several pathways which may explain the progressive resistance to OTC associated with incremental exposure to the drug. The specific mutations consistently identified in isolates exposed to OTC were on AHA_ 2785 (associated with an outer membrane protein), AHA_2910 (involved in the efflux pump mechanism), and AHA_0308 (associated with the small ribosomal subunit protein S10). The pathways involved in the differential gene expression included efflux- pump mechanisms, outer membrane proteins, and ribosomal protein OTC target. Our findings support the notion that AMR can occur via genetic regulation of several intrinsic mechanisms within a bacterial population. This finding could have implications in aquaculture where bacteria such as A. hydrophila can be exposed to varying levels of antibiotics during in-feed treatments.
2025-10-01 | GSE290492 | GEO
Project description:The model prokaryote Escherichia coli can exist as a either a commensal or a pathogen in the gut of diverse mammalian hosts. These associations, coupled with its ease of cultivation and genetic variability, have made E. coli a popular indicator organism for tracking the origin of fecal water contamination. Source tracking accuracy is predicated on the assumption that E. coli isolates recovered from contaminated water present a genetic signature characteristic of the host from which they originated. In this study, we compared the accuracy with which E. coli isolated from humans, bear, cattle and deer could be identified by standard fingerprinting methods used for library-based microbial source tracking (repetitive element PCR and pulsed-field gel electrophoresis) in relation to microarray-based analysis of genome content. Our results show that patterns of gene presence or absence were more useful for distinguishing E. coli isolates from different sources than traditional fingerprinting methods, particularly in the case of human strains. Host-associated differences in genome composition included the presence or absence of mobile IS1 elements as well as genes encoding the ferric dicitrate iron transporter (fec), E. coli common pilus (ECP), type 1 fimbriae and the CRISPR associated cas proteins. Many of these differences occurred in regions of the E. coli chromosome previously shown to be M-bM-^@M-^\hot spotsM-bM-^@M-^] for the integration of horizontally-acquired DNA. PCR primers designed to amplify the IS1 and fec loci confirmed array results and demonstrated the ease with which gene presence/absence data can be converted into a diagnostic assay. The data presented here suggest that, despite the high level of genetic diversity observed among isolates by PFGE, human-derived strains may constitute a distinct ecotype distinguished by multiple potential library-independent source tracking markers. Twelve isolates of E. coli ( 3 from bear, 3 from cattle, 3 from deer and 3 from humans) were isolated from feces and/or raw sewage. Genome content for each strain was assessed in duplicate using comparative genome hybridization with E. coli K12 MG1655 as the reference for a total of 24 arrays.
2013-03-01 | E-GEOD-21115 | biostudies-arrayexpress