Aureolib

Aureolib provides a proteomic database and analysis framework for investigating protein expression dynamics of Staphylococcus aureus under diverse physiological stress and starvation conditions.

Key Features:

• Proteomic Dataset of S. aureus COL: Contains gel-based proteomics data including 679 protein spots identified by mass spectrometry in a reference two-dimensional gel of cytosolic proteins from the Staphylococcus aureus COL strain, corresponding to 521 distinct proteins.
• Time-Dependent Protein Synthesis Profiles: Includes 4,692 protein synthesis profiles generated from experiments exposing S. aureus to hydrogen peroxide (H₂O₂), diamide, paraquat, nitric oxide (NO), fermentation, nitrate respiration, heat shock, puromycin, and mupirocin.
• Stress-Specific Marker Protein Identification: Enables cross-comparison of synthesis profiles to identify marker proteins, including 226 profiles with ≥2.5-fold induction and 157 profiles induced by a single stimulus.
• Regulatory Network Integration: Incorporates information on target genes of 75 regulatory elements to support analysis of stress-responsive gene regulation.
• Regulon and Stress Protein Analysis: Supports cluster analysis of protein expression profiles and highlights regulatory associations including GapR, Rex, CtsR, CodY, and σ(B) regulons, and identifies SACOL1759 as a universal stress protein induced by multiple stimuli.

Scientific Applications:

• Bacterial Stress Response Analysis: Investigates proteomic responses of Staphylococcus aureus to oxidative, metabolic, and antibiotic-related stress conditions.
• Host–Pathogen Interaction Studies: Identifies protein markers associated with bacterial adaptation during infection-related environmental stress.
• Regulatory Network Investigation: Analyzes relationships between protein synthesis profiles and transcriptional regulons involved in bacterial stress adaptation.

Methodology:

Aureolib compiles gel-based proteomics data from mass spectrometry-identified protein spots and time-dependent protein synthesis profiles, performs cross-comparison and cluster analysis across multiple stress conditions, and integrates regulatory gene information to analyze stress-responsive protein expression patterns in Staphylococcus aureus.