Yeast GFP fusion localization database (yeastgfp)

Yeast GFP fusion localization database (yeastgfp) catalogs subcellular localization for a large fraction of the yeast proteome using full-length chromosomally integrated green fluorescent protein (GFP) fusions to enable analyses of protein spatial organization.

Key Features:

• GFP fusion tagging: Full-length chromosomally integrated GFP fusions provide direct visualization of protein localization by fluorescence microscopy.
• Extensive coverage: The database encompasses approximately 75% of the yeast proteome with GFP-tagged proteins.
• High-resolution localization: Proteins are classified into 22 distinct subcellular localization categories.
• Unlocalized protein insights: Localization information is provided for about 70% of proteins that were previously unlocalized.
• Data integration: GFP localization data are analyzed in conjunction with transcriptional, genetic, and protein–protein interaction datasets.

Scientific Applications:

• Functional genomics: Assigns subcellular context to proteins to support inference of protein function within cellular compartments.
• Transcriptional co-regulation analysis: Enables comparison of localization patterns with transcriptional profiles to investigate co-regulated gene expression.
• Organelle interaction studies: Facilitates analysis of interactions within and between organelles based on protein spatial distribution.

Methodology:

Proteins were classified into 22 subcellular localization categories and the GFP localization dataset was analyzed in conjunction with transcriptional, genetic, and protein–protein interaction datasets.