PXD054993 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Expanding the biotechnological scope of metabolic sensors through computational-aided designs |
Description | Metabolic sensors are microbial strains modified such that biomass formation correlates with the availability of specific target metabolites. These sensors are essential for bioengineering (e.g. in growth-coupled selection of synthetic pathways), but their design is often time-consuming and low-throughput. In contrast, in silico analysis can accelerate their development. We present a systematic workflow for designing, implementing, and testing versatile metabolic sensors using Escherichia coli as a model. Glyoxylate, a key metabolite in synthetic CO2 fixation and carbon-conserving pathways, served as the test molecule. Through iterative screening of a compact metabolic reconstruction, we identified non-trivial growth-coupled designs that resulted in six metabolic sensors with different glyoxylate-to-biomass ratios. These metabolic sensors had a linear correlation between biomass formation and glyoxylate concentration spanning three orders of magnitude and were further adapted for glycolate sensing. We demonstrate the utility of these sensors in pathway engineering (implementing a synthetic route for one-carbon assimilation via glyoxylate) and environmental applications (quantifying glycolate produced by photosynthetic microalgae). The versatility and ease of implementation of this workflow make it suitable for designing and building multiple metabolic sensors for diverse biotechnological applications. |
HostingRepository | PRIDE |
AnnounceDate | 2025-01-16 |
AnnouncementXML | Submission_2025-01-16_00:16:02.480.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Timo Glatter |
SpeciesList | scientific name: Escherichia coli; NCBI TaxID: 562; |
ModificationList | No PTMs are included in the dataset |
Instrument | Orbitrap Exploris 480 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-08-19 05:30:47 | ID requested | |
⏵ 1 | 2025-01-16 00:16:02 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: shotgun proteomics,Synthetic microbiology |
Contact List
Timo Glatter |
contact affiliation | Max Planck Institute for Terrestrial Microbiology Karl-von-Frisch Str. 10 35043 Marburg Germany |
contact email | timo.glatter@mpi-marburg.mpg.de |
lab head | |
Timo Glatter |
contact affiliation | Max Planck Institute for Terrestrial Microbiology Marburg |
contact email | timo.glatter@mpi-marburg.mpg.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2025/01/PXD054993 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD054993
- Label: PRIDE project
- Name: Expanding the biotechnological scope of metabolic sensors through computational-aided designs