Mass Spectrometry Data for R. palustris Metabolite Pathways

Nicole Marquez-Reyes created this mass spectrometry dataset for a thesis chapter. It records the presence or absence of metabolites in pathways for the bacterium Rhodopseudomonas palustris CGA009 under different sulfur sources. The data was generated using an Agilent 1600 II machine with a C18 column and samples were taken at two distinct growth phases.

Use Cases

• Compare metabolite presence across different sulfur sources (taurine, isethionate, hexane sulfonate) as described in the sample preparation.
• Analyze metabolic pathway activity changes between exponential and stationary growth phases based on the described sampling times.
• Validate mass spectrometry methods for organic acid detection using the described LC-MS 'organic acids.M' method.

Strengths

• Specific sample preparation details are provided, including sonication and centrifugation protocols.
• Experimental conditions are clearly stated, such as the use of 20mM acetate and specific sulfur sources.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Nicole Marquez-Reyes

Collection Method

Mass spectrometry analysis of bacterial cell samples using an Agilent 1600 II machine with a C18 column.

Freshness

Last updated 2026-05-16 04:37:37; freshness should be verified.