MassIVE MSV000095534

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GNPS - A metabolism-wide CRISPRi library expands the measurable E. coli metabolome - FI-MS dataset

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Description

In this study, we developed a workflow to systematically and selectively induce increases in metabolites by knocking down enzymes with CRISPR interference (CRISPRi). Therefore, we created a sorted CRISPRi library targeting all 1,515 metabolic genes in the most recent genome-scale metabolic model of E. coli (iML151515). In a first step, we screened the metabolome of the CRISPRi library with a fast flow-injection mass spectrometry, which revealed strong and specific accumulation of 36% of the predicted metabolites in the iML1515 model. The accumulating metabolites were unique to certain knockdowns, especially those metabolites associated with the CRISPRi targeted-pathway. [doi:10.25345/C56T0H74X] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: E. coli ; CRISPRi ; flow-injection mass spectrometry

Contact

Principal Investigators:
(in alphabetical order) 		Prof. Hannes Link, University Tuebingen, Germany
Submitting User: JRapp
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GNPS content goes here (MSV000095534 [task=8c638ee516e441d28a3f1a277ffc722b])
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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