PXD033664 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Integrating proteomic data with metabolic modelling provides insight into key pathways in Bordetella pertussis biofilms |
Description | Pertussis, commonly known as whooping cough is a severe respiratory disease caused by the bacterium, Bordetella pertussis. Despite widespread vaccination, pertussis resurgence has been observed globally. The development of the current acellular vaccine (ACV) has been based on planktonic studies. However, recent studies have shown that B. pertussis readily forms biofilms. A better understanding of B. pertussis biofilms is important for developing novel vaccines that can target all aspects of B. pertussis infection. This study compared the proteomic expression of biofilm and planktonic B. pertussis cells to identify key changes between the conditions. Major differences were identified in virulence factors including an upregulation of toxins (adenylate cyclase toxin and dermonecrotic toxin) and strong downregulation of pertactin and type III secretion system proteins in biofilm cells. To further dissect metabolic pathways that are altered during the biofilm lifestyle, the proteomic data was then incorporated into a genome scale metabolic model using the integrated metabolic analysis tool (iMAT). The analysis revealed that planktonic cells utilised the glyoxylate shunt while biofilm cells completed the full tricarboxylic acid cycle. Differences in processing aspartate, arginine and alanine were identified as well as unique export of valine out of biofilm cells which may have a role in inter-bacterial communication and regulation. Finally, increased polyhydroxybutyrate accumulation and superoxide dismutase activity in biofilm cells may contribute to increased persistence during infection. Taken together, this study modelled major proteomic and metabolic changes that occur in biofilm cells which helps lay the groundwork for further understanding B. pertussis pathogenesis. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_07:04:26.781.xml |
DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD033664 |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | Hiroki Suyama |
SpeciesList | scientific name: Bordetella pertussis; NCBI TaxID: 520; |
ModificationList | acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-05-05 00:24:59 | ID requested | |
1 | 2023-08-07 00:26:39 | announced | |
⏵ 2 | 2023-11-14 07:04:27 | announced | 2023-11-14: Updated project metadata. |
Publication List
Keyword List
submitter keyword: LC-MSMS, LFQ,Bordetella pertussis, biofilm |
Contact List
Ruiting Lan |
contact affiliation | School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia (lab head) |
contact email | r.lan@unsw.edu.au |
lab head | |
Hiroki Suyama |
contact affiliation | University of New South Wales, Sydney |
contact email | h.suyama@unsw.edu.au |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD033664
- Label: PRIDE project
- Name: Integrating proteomic data with metabolic modelling provides insight into key pathways in Bordetella pertussis biofilms