SWICZ

SWICZ catalogs quantitative proteomic datasets to elucidate protein synthesis, stability, and expression dynamics across cell cycle stages and metabolic conditions in bacteria such as Caulobacter crescentus and Streptomyces coelicolor.

Key Features:

• Proteomic database: Hosts quantitative proteomic data including global protein synthesis rates and stability measurements obtained using [(35)S]methionine incorporation and chase period analysis.
• Data integration: Combines quantitative measurements with metadata including protein identities, molecular masses, isoelectric points, functions, and genomic context for defined cell cycle stages and metabolic conditions.
• Protein identification: Reports 1,250 protein spots detected by two-dimensional gel electrophoresis with 295 proteins identified by mass spectrometry.
• Computational analyses: Applies principal component analysis and fuzzy cluster analyses to reveal kinetic patterns and regulatory mechanisms in the proteome.
• Functional linkage: Links proteomic entries to functional databases such as KEGG (Kyoto Encyclopedia of Genes and Genomes) to relate proteins to metabolic pathways and flux regulation.

Scientific Applications:

• Cell cycle analysis in Caulobacter crescentus: Enables examination of protein dynamics across cell cycle stages to investigate cellular processes and regulatory mechanisms.
• Metabolic regulation in Streptomyces coelicolor: Supports analysis of proteosynthetic profiles under varying metabolic conditions to investigate coordinated enzyme regulation and the "high-flux backbone" concept in metabolic flux control.

Methodology:

Two-dimensional gel electrophoresis, [(35)S]methionine incorporation with chase period analysis, mass spectrometry, principal component analysis, and fuzzy cluster analyses.