Summary of Study ST002131
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001349. The data can be accessed directly via it's Project DOI: 10.21228/M8BM53 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST002131 |
Study Title | Discovery and characterization of virulence associated functional metabolites in Escherichia coli based on functional metabolomics strategy(pellets metabolomics-2) |
Study Summary | Bacterial metabolites are substrates of virulence factors of uropathogenic Escherichia coli (UPEC), but the mechanism underlying the role of functional metabolites in bacterial virulence from the perspective of small molecular metabolism is unclear. In the present study, we used a strategy of functional metabolomics integrated with bacterial genetics in attempt to decipher the mechanism of virulence formation in Escherichia coli (E. coli) from the viewpoint of small molecule metabolism. We identified the virulence-associated metabolome via analysis of the primary metabolome of the pathogenic UTI89 strain and the non-pathogenic MG1655 strain. Then, the iron-mediated virulence associated metabolome was identified by an iron fishing strategy. Also, the mechanism of siderophores in regulating pathogenicity in different environments was explored by investigating the effect of iron on siderophore biosynthesis. Finally, by knocking out genes related to siderophore biosynthesis, siderophore transport and iron utilization, siderophores dependent iron-regulating virulence associated metabolome, including 18 functional metabolites, was identified and verified to be involved in the regulation of bacterial virulence. Based on this we found that these functional metabolites regulated the virulence of E. coli by targeting multiple metabolic pathways in an iron-siderophores dependent manner. Moreover, a quantitative proteomics approach was implemented to further elucidate the mechanism of functional metabolites and functional proteins in modulating bacterial virulence. And our findings demonstrated that functional proteins regulated the virulence of E. coli by mediating iron binding, iron-siderophore transmembrane transport, and the biosynthesis and expression of functional metabolites. Interestingly, we found that functional metabolites enhance the virulence of E. coli by specifically modulating the key metabolic pathways involved in purine metabolism, proline metabolism, arginine metabolism and pyrimidine metabolism. Taken together, our study identified for the first time 18 functional metabolites regulating the of E. coli virulence, greatly enriching our understanding of the mechanism of functional metabolites that regulate the E. coli virulence by targeting primary metabolism, which will largely contribute to the development of new strategies to target virulence-based diagnosis and therapy of infections caused by different pathogens. |
Institute | Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University |
Last Name | Lu |
First Name | Haitao |
Address | 800 Dongchuan RD. Minhang District, Shanghai, Shanghai, 200240, China |
haitao.lu@sjtu.edu.cn | |
Phone | 15221478139 |
Submit Date | 2022-03-25 |
Raw Data Available | Yes |
Raw Data File Type(s) | d |
Analysis Type Detail | LC-MS |
Release Date | 2022-04-20 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001349 |
Project DOI: | doi: 10.21228/M8BM53 |
Project Title: | Discovery and characterization of virulence associated functional metabolites in Escherichia coli based on functional metabolomics strategy |
Project Type: | Untargeted MS quantitative analysis |
Project Summary: | Discovery and characterization of virulence associated functional metabolites in Escherichia coli based on functional metabolomics strategy |
Institute: | Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University |
Department: | Shanghai Center for Systems Biomedicine |
Laboratory: | Lu Group |
Last Name: | Lu |
First Name: | Haitao |
Address: | 800 Dongchuan RD. Minhang District, Shanghai, Shanghai, 200240, China |
Email: | longlonghu126@sjtu.edu.cn |
Phone: | 15221478139 |
Subject:
Subject ID: | SU002216 |
Subject Type: | Bacteria |
Subject Species: | Escherichia coli |
Taxonomy ID: | 562 |
Factors:
Subject type: Bacteria; Subject species: Escherichia coli (Factor headings shown in green)
mb_sample_id | local_sample_id | Treatment |
---|---|---|
SA204512 | fur-0-2P | No iron supplementation |
SA204513 | fur-0-1P | No iron supplementation |
SA204514 | fur-0-4P | No iron supplementation |
SA204515 | fur-0-3P | No iron supplementation |
SA204516 | fur-0-6P | No iron supplementation |
SA204517 | fur-0-5P | No iron supplementation |
SA204518 | fyuA-0-3P | standard growth conditions |
SA204519 | fyuA-0-4P | standard growth conditions |
SA204520 | fyuA-0-6P | standard growth conditions |
SA204521 | fyuA-0-2P | standard growth conditions |
SA204522 | fyuA-0-5P | standard growth conditions |
SA204523 | fyuA-0-1P | standard growth conditions |
SA204524 | ybtP-0-5P | standard growth conditions |
SA204525 | ybtP-0-6P | standard growth conditions |
SA204526 | ybtP-0-4P | standard growth conditions |
SA204527 | ybtP-0-3P | standard growth conditions |
SA204528 | ybtP-0-2P | standard growth conditions |
SA204529 | ybtQ-0-1P | standard growth conditions |
SA204530 | ybtQ-0-2P | standard growth conditions |
SA204531 | ybtQ-0-6P | standard growth conditions |
SA204532 | ybtQ-0-5P | standard growth conditions |
SA204533 | ybtQ-0-4P | standard growth conditions |
SA204534 | ybtQ-0-3P | standard growth conditions |
SA204535 | ybtP-0-1P | standard growth conditions |
Showing results 1 to 24 of 24 |
Collection:
Collection ID: | CO002209 |
Collection Summary: | After 18h of culture, the sample pellet was isolated. The bacterial pellets harvested from 50 mL of broth culture were mixed with 1.2 mL 80% ice-cold methanol (added to internal standard 0.001mg/ml 4-chloro-DL-phenylalanine), then vortexed for 30 s, and placed on dry ice for 30 min. The samples were centrifuged at 18000 × g for 15 min at 4 °C. The frozen samples were ground with beads and the homogenates were centrifuged at 18000 × g for 15 min at 4 °C. The supernatant was mixed with 800μL ice-cold acetonitrile, and then left to stand for 20 minutes in an ice bath. After centrifugation at 18000 × g 4℃ for 15 min, the supernatant was removed and filtered through 0.22μm membrane. |
Sample Type: | Bacterial cells |
Treatment:
Treatment ID: | TR002228 |
Treatment Summary: | M63 medium (1.36% monopotassium phosphate, 0.2% ammonium sulfate, 0.024% magnesium sulfate, 0.001% calcium chloride, and 0.0015% nicotinic acid) was used to form UTI89 mutants. The E. coli strain was incubated in LB-agar plate for 12 hours, one colony was isolated to LB broth for further 4 hours incubation, then diluted the solution into M63 medium at a ratio of 1:100 and the cultures were incubated for another18 h at 37°C, 200rpm to culture E. coli. |
Sample Preparation:
Sampleprep ID: | SP002222 |
Sampleprep Summary: | The bacterial pellets harvested from 50 mL of broth culture were mixed with 1.2 mL 80% ice-cold methanol (added to internal standard 0.001mg/ml 4-chloro-DLphenylalanine), then vortexed for 30 s, and placed on dry ice for 30 min. The samples were centrifuged at 18000 × g for 15 min at 4 °C. The frozen samples were ground with beads and the homogenates were centrifuged at 18000 × g for 15 min at 4 °C. The supernatant was mixed with 800μL ice-cold acetonitrile, and then left to stand for 20 minutes in an ice bath. After centrifugation at 18000 × g 4℃ for 15 min, the supernatant was removed and filtered through 0.22μm membrane. For LC/MS based metabolomics analysis, the dried samples were dissolved in 200μL water and 5μL aliquots were analyzed. |
Combined analysis:
Analysis ID | AN003485 | AN003486 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | Reversed phase | Reversed phase |
Chromatography system | Agilent 1290 Infinity | Agilent 1290 Infinity |
Column | Waters Acquity BEH HSS T3 (100 x 2.1mm,1.8um) | Waters Acquity BEH HSS T3 (100 x 2.1mm,1.8um) |
MS Type | ESI | ESI |
MS instrument type | Triple quadrupole | Triple quadrupole |
MS instrument name | Agilent 6495 QQQ | Agilent 6495 QQQ |
Ion Mode | POSITIVE | NEGATIVE |
Units | peak area | peak area |
Chromatography:
Chromatography ID: | CH002573 |
Instrument Name: | Agilent 1290 Infinity |
Column Name: | Waters Acquity BEH HSS T3 (100 x 2.1mm,1.8um) |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS003246 |
Analysis ID: | AN003485 |
Instrument Name: | Agilent 6495 QQQ |
Instrument Type: | Triple quadrupole |
MS Type: | ESI |
MS Comments: | Agilent MassHunter Workstation Data Acquisition Agilent MassHunter QualitativeAnalysis B.07.00 Agilent MassHunter Quantitative Analysis (for QQQ) |
Ion Mode: | POSITIVE |
MS ID: | MS003247 |
Analysis ID: | AN003486 |
Instrument Name: | Agilent 6495 QQQ |
Instrument Type: | Triple quadrupole |
MS Type: | ESI |
MS Comments: | Agilent MassHunter Workstation Data Acquisition Agilent MassHunter QualitativeAnalysis B.07.00 Agilent MassHunter Quantitative Analysis (for QQQ) |
Ion Mode: | NEGATIVE |