Proteomics

Dataset Information

0

TCUP: Typing and characterization of bacteria using bottom-up tandem mass spectrometry proteomics


ABSTRACT: Methods for rapid and reliable microbial identification are essential in modern healthcare. The ability to detect and correctly identify pathogenic species and their resistance phenotype is necessary for accurate diagnosis and efficient treatment of infectious diseases. Bottom-up tandem mass spectrometry (MS) proteomics enables rapid characterization of large parts of the expressed genes of microorganisms. The generated data is however highly fragmented, making down-stream analyses complex. Here we present TCUP, a new computational method for typing and characterizing bacteria using proteomics data from bottom-up tandem MS. TCUP compares the generated protein sequence data to reference databases and automatically finds peptides suitable for characterization of taxonomic composition and identification of expressed antimicrobial resistance genes. TCUP was evaluated using four clinically relevant bacterial species (Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Streptococcus pneumoniae), using both simulated data generated by in silico peptide digestion and experimental proteomics data generated by liquid chromatography-tandem mass spectrometry (MS/MS). The results showed that TCUP performs correct peptide classifications at rates between 90.3% and 98.5% at the species level. The method was also able to accurately estimate the relative abundances of individual species in mixed cultures. Furthermore, TCUP could identify expressed beta-lactamases in an ESBL-producing E. coli strain, even when the strain was cultivated in the absence of antibiotics on non-selective media. Finally, TCUP is computationally efficient, easy to integrate in existing bioinformatics workflows and freely available under an open source license for both Windows and Linux environments.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Escherichia Coli

SUBMITTER: Fredrik Boulund  

LAB HEAD: Edward, R. B. Moore

PROVIDER: PXD004321 | Pride | 2017-04-20

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
QE_150508_32.bacterial.xml Xml
QE_150508_32.raw Raw
QE_150508_35.bacterial.xml Xml
QE_150508_35.raw Raw
QE_150508_38.bacterial.xml Xml
Items per page:
1 - 5 of 85
altmetric image

Publications

Typing and Characterization of Bacteria Using Bottom-up Tandem Mass Spectrometry Proteomics.

Boulund Fredrik F   Karlsson Roger R   Gonzales-Siles Lucia L   Johnning Anna A   Karami Nahid N   Al-Bayati Omar O   Åhrén Christina C   Moore Edward R B ERB   Kristiansson Erik E  

Molecular & cellular proteomics : MCP 20170418 6


Methods for rapid and reliable microbial identification are essential in modern healthcare. The ability to detect and correctly identify pathogenic species and their resistance phenotype is necessary for accurate diagnosis and efficient treatment of infectious diseases. Bottom-up tandem mass spectrometry (MS) proteomics enables rapid characterization of large parts of the expressed genes of microorganisms. However, the generated data are highly fragmented, making downstream analyses complex. Her  ...[more]

Similar Datasets

2017-04-21 | PXD005924 | Pride
2018-10-26 | PXD005074 | Pride
2005-01-01 | E-MEXP-75 | biostudies-arrayexpress
2024-10-20 | E-MTAB-14496 | biostudies-arrayexpress
2024-10-20 | E-MTAB-14497 | biostudies-arrayexpress
2018-01-24 | PXD005859 | Pride
2022-04-12 | E-MTAB-9528 | biostudies-arrayexpress
2019-01-25 | PXD006688 | Pride
2023-04-29 | E-MTAB-11838 | biostudies-arrayexpress
2019-10-06 | E-MTAB-8373 | biostudies-arrayexpress